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Glass fiber post resistance to dislodgement from radicular dentin after using contemporary and conventional methods of disinfection. The present study aimed to assess the bond integrity of curcumin photosensitizer (CPS) Photodynamic therapy (PDT) on fiber post disinfection bonded to radicular dentin in comparison to the conventional fiber post sterilant used. Fifty human permanent single-rooted premolars were utilized with the crown part sectioned using up to the cementoenamel junction. Root canal preparation was performed followed by canal obturation with gutta-percha (GP) and resin-based sealer. The post space was prepared using peso reamers leaving 4 mm at the apical part of the post space. Fifty glass fiber posts (GFP) were divided into five groups based on the surface disinfectant (n = 10). group 1: Autoclave sterilization (AS) group 2: chlorhexidine digluconate (CHX dig), group 3: CPS solution, group 4: 35% phosphoric acid (PA) gel, and group 5: No disinfection. Cementation was performed using dual-cure self-etch resin cement. Each tooth was sectioned and placed on the universal testing machine. Failure mode was analyzed using a stereomicroscope at 40x magnification. Statistical analysis was performed using one-way analysis of variance (ANOVA) and Tukey multiple comparison tests. (p = 0.05). Intragroup comparison analysis demonstrated that group 2 in which 2% CHX dig was used as a post-surface disinfectant revealed the highest bond integrity at all three levels. Group 5 where no disinfectant was used to decontaminate the post surface exhibited the lowest bond values. In all the investigated groups, PBS values showed a downward trend from coronal to the apical third of the post space. Group 1 in which AS was used to sterilize the fiber post and group 3 in which CPS was smeared to decontaminate the GFPs surface-displayed comparable outcomes of PBS to group 5 specimens at all three levels. (p > 0.05). CHX dig and PA post-surface disinfection displayed a positive impact on bond strength with the radicular dentin. However, CPS and AS do not reveal any effect on the PBS when used for post-decontamination.

Early transverse tubule involvement in cardiomyocytes in hereditary transthyretin amyloidosis: a possible cause of cardiac events. Cardiac involvement is one of the most frequent and fatal manifestations of hereditary transthyretin (ATTRv) amyloidosis. This study sought to clarify the pathogenesis of ATTRv amyloidosis, specifically, how transthyretin (TTR) amyloid begins to deposit in cardiomyocytes and how this deposition progresses in these cells. We analyzed autopsy cardiac tissues from five patients with ATTRv amyloidosis by using confocal microscopy with thioflavin S staining and immunofluorescence and electron microscopy to demonstrate the pattern of TTR amyloid deposition in cardiomyocytes. We demonstrated predominant amyloid deposition in the transverse tubules (t-tubules) of cardiomyocytes at the early stage of TTR amyloid deposition. Also, a pattern of the progression of amyloid deposition from deeply invaginated extracellular matrix, that is, t-tubules, to cell surface extracellular matrix, that is, basement membrane, was noted. Three-dimensional confocal microscopic images revealed the abnormal architecture of the t-tubules with nodular swelling, branching, and confluence in the cardiomyocytes with amyloid deposition. Double immunofluorescence staining with anti-TTR antibody and CACNA1C antibody demonstrated reduced voltage-dependent calcium channels around amyloid deposition. Our pathological study demonstrated that t-tubule involvement is an early event in cardiomyocytes in the pathogenesis of ATTRv amyloidosis. This finding may indicate that disruption of t-tubules in cardiomyocytes may contribute to the pathogenesis of cardiac events including heart failure and arrhythmia.

How many US obstetrical trials reach publication? A cross-sectional analysis of ClinicalTrials.gov and PubMed from 2007 to 2019. Obstetrical clinical trials are the foundation of evidence-based medicine during pregnancy. As more obstetrical trials are conducted, understanding the publication characteristics of these trials is of utmost importance to advance obstetrical health. This study aimed to characterize the frequency of publication and trial characteristics associated with publication among obstetrical clinical trials in the United States. We additionally sought to examine time from trial completion to publication. This was a cross-sectional analysis of completed obstetrical trials with an intervention design and at least 1 site in the United States registered to ClinicalTrials.gov from 2007 to 2019. Trial characteristics were cross-referenced with PubMed to determine publication status up to 2021 using the National Clinical Trial identification number. Bivariable analyses were conducted to determine trial characteristics associated with publication. Multivariable logistic regression models controlling for prespecified covariates were generated to estimate the relationship between funding, primary purpose, and therapeutic foci with publication. Additional exploratory analyses of other trial characteristics were conducted. Time to publication was analyzed using Kaplan-Meier curves and Cox regression models. Of the 1879 obstetrical trials with registered completion, a total of 575 (30.6%) had at least 1 site in the United States, were completed before October 1, 2019, and were included in this analysis. Between October 2007 and October 2019, fewer than two-thirds (N=348, 60.5%) of trials reached publication. Annual rates of publication ranged from 46.4% in 2018 to 70.0% in 2007. No difference was observed in publication by funding, primary purpose, or therapeutic foci (all P>.05). Trials with characteristics indicating high trial quality-including randomized allocation scheme, ≥50 participants enrolled, ≥2 sites, and presence of a data safety monitoring committee-had increased odds of publication compared with those without such characteristics (all P<.05). For example, studies with randomized allocation of intervention had 2-fold greater odds of publication than nonrandomized studies (adjusted odds ratio, 2.09; 95% confidence interval, 1.30-3.37). Studies with ≥150 participants had nearly 8-fold odds of publication (adjusted odds ratio, 7.90; 95% confidence interval, 3.78-17.49) relative to studies with <50 participants. Temporal analysis demonstrated variability in time to publication among obstetrical trials, with a median time of 20.1 months after trial completion, and with most trials that reached publication having been published by 40 months. No difference was observed in time to publication by funding, primary purpose, or therapeutic foci (all P>.05). Publication of obstetrical trials remains suboptimal, with significant differences observed between trials with indicators of high quality and those without. Most trials that reach publication are published within 2 years of registered completion on ClinicalTrials.gov.

Whitening efficacy of low concentration hydrogen peroxide photoactivated with blue or violet LED. Bleaching protocols using low concentration hydrogen peroxide (HP) photoactivated with LED sources have been widely discussed. Herein, we evaluated the whitening efficacy of 15% HP photoactivated with blue or violet LED compared to 35% HP. Thirty bovine crowns were sectioned into 5 × 5 × 2 mm specimens. After staining in black tea, the specimens were randomized into three groups (n = 10): 35% HP, 15% HP + blue LED and 15% HP + violet LED. Two bleaching sessions were performed and the color assessment (∆L*, ∆a*, ∆b*, ∆Eab [CIELab], ∆E00 [CIEDE2000] and WID) was performed before, 24h after each session, 7 days and 1 month after the last session. Data were evaluated by two-way repeated measures ANOVA and Bonferroni post-test at a significance level of 5%. All groups showed effective and similar results over 1 month of follow-up (p > 0.05), with only intragroup differences among the time intervals (p < 0.05). The use of 15% HP photoactivated with blue or violet LED showed similar whitening efficacy compared to 35% HP. Thus, the association of low concentration bleaching gels with blue or violet LED sources can provide successful and less-aggressive treatment in terms of color change.

Effect of vitamin C supplementation on some leukocyte parameters in American mink (Neovison vison) with abnormal granulogenesis. Sapphire mink, a mutant colour variant of American mink, is an animal model of the Chediak-Higashi syndrome (CHS). As in CHS, there are enlarged cytoplasmic granules in various cell types including leukocytes in Sapphire mink due to abnormal granulogenesis. Such cellular abnormality leads to a weakening of the immune defence as a consequence to the development of infections. A study with Sapphire mink and Standard mink was conducted to evaluate the immunostimulant effect of vitamin C (VC) supplementation (100 mg/day) on some leukocyte parameters. In the end of the 20-day treatment period, blood samples were collected to determine hematological (total and differential leukocyte counts, red blood cells (RBC) counts, and haemoglobin level) and cytochemical (activity and staining area of myeloperoxidase, eosinophilc peroxidase, alkaline phosphatase, and alpha naphthyl acetate esterase) parameters. The study showed that total leukocyte counts, segmented neutrophil counts, and monocyte counts were significantly (p < 0.05) higher in Sapphire mink from the VC-supplemented group than in those receiving the control diet. These results indicate that VC supplementation may have a positive effect on immunity in Sapphire mink. Another interesting finding is an increase in the number of neutrophils with enlarged granules and lysosomal enzyme-positive area in VC-supplemented mink as compared with those fed the control diet. These observations suggest that VC supplementation can affect the lysosomal apparatus of leukocytes.

Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors. The performance of deep learning for cardiac magnetic resonance imaging (MRI) segmentation is oftentimes degraded when using small datasets and sparse annotations for training or adapting a pre-trained model to previously unseen datasets. Here, we developed and evaluated an approach to addressing some of these issues to facilitate broader use of deep learning for short-axis cardiac MRI segmentation. We developed a globally optimal label fusion (GOLF) algorithm that enforced spatial smoothness to generate consensus segmentation from segmentation predictions provided by a deep learning ensemble algorithm. The GOLF consensus was entered into an uncertainty-guided coupled continuous kernel cut (ugCCKC) algorithm that employed normalized cut, image-grid continuous regularization, and "nesting" and circular shape priors of the left ventricular myocardium (LVM) and cavity (LVC). In addition, the uncertainty measurements derived from the segmentation predictions were used to constrain the similarity of GOLF and final segmentation. We optimized ugCCKC through upper bound relaxation, for which we developed an efficient coupled continuous max-flow algorithm implemented in an iterative manner. We showed that GOLF yielded average symmetric surface distance (ASSD) 0.2-0.8 mm lower than an averaging method with higher or similar Dice similarity coefficient (DSC). We also demonstrated that ugCCKC incorporating the shape priors improved DSC by 0.01-0.05 and reduced ASSD by 0.1-0.9 mm. In addition, we integrated GOLF and ugCCKC into a deep learning ensemble algorithm by refining the segmentation of an unannotated dataset and using the refined segmentation to update the trained models. With the proposed framework, we demonstrated the capability of using relatively small datasets (5-10 subjects) with sparse (5-25% slices labeled) annotations to train a deep learning algorithm, while achieving DSC of 0.871-0.893 for LVM and 0.933-0.959 for LVC on the LVQuan dataset, and these were 0.844-0.871 for LVM and 0.923-0.931 for LVC on the ACDC dataset. Furthermore, we showed that the proposed approach can be adapted to substantially alleviate the domain shift issue. Moreover, we calculated a number of commonly used LV function measurements using the derived segmentation and observed strong correlations (Pearson r=0.77-1.00, p<0.001) between algorithm and manual LV function analyses. These results suggest that the developed approaches can be used to facilitate broader application of deep learning in research and clinical cardiac MR imaging workflow.

An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders. It has been proven that neuropsychiatric disorders (NDs) can be associated with both structures and functions of brain regions. Thus, data about structures and functions could be usefully combined in a comprehensive analysis. While brain structural MRI (sMRI) images contain anatomic and morphological information about NDs, functional MRI (fMRI) images carry complementary information. However, efficient extraction and fusion of sMRI and fMRI data remains challenging. In this study, we develop an enhanced multi-modal graph convolutional network (MME-GCN) in a binary classification between patients with NDs and healthy controls, based on the fusion of the structural and functional graphs of the brain region. First, based on the same brain atlas, we construct structural and functional graphs from sMRI and fMRI data, respectively. Second, we use machine learning to extract important features from the structural graph network. Third, we use these extracted features to adjust the corresponding edge weights in the functional graph network. Finally, we train a multi-layer GCN and use it in binary classification task. MME-GCN achieved 93.71% classification accuracy on the open data set provided by the Consortium for Neuropsychiatric Phenomics. In addition, we analyzed the important features selected from the structural graph and verified them in the functional graph. Using MME-GCN, we found several specific brain connections important to NDs.

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. Accurate skin lesion diagnosis requires a great effort from experts to identify the characteristics from clinical and dermoscopic images. Deep multimodal learning-based methods can reduce intra- and inter-reader variability and improve diagnostic accuracy compared to the single modality-based methods. This study develops a novel method, named adversarial multimodal fusion with attention mechanism (AMFAM), to perform multimodal skin lesion classification. Specifically, we adopt a discriminator that uses adversarial learning to enforce the feature extractor to learn the correlated information explicitly. Moreover, we design an attention-based reconstruction strategy to encourage the feature extractor to concentrate on learning the features of the lesion area, thus, enhancing the feature vector from each modality with more discriminative information. Unlike existing multimodal-based approaches, which only focus on learning complementary features from dermoscopic and clinical images, our method considers both correlated and complementary information of the two modalities for multimodal fusion. To verify the effectiveness of our method, we conduct comprehensive experiments on a publicly available multimodal and multi-task skin lesion classification dataset: 7-point criteria evaluation database. The experimental results demonstrate that our proposed method outperforms the current state-of-the-art methods and improves the average AUC score by above 2% on the test set.

Capacity limits in face detection. Face detection is a prerequisite for further face processing, such as extracting identity or semantic information. Those later processes appear to be subject to strict capacity limits, but the location of the bottleneck is unclear. In particular, it is not known whether the bottleneck occurs before or after face detection. Here we present a novel test of capacity limits in face detection. Across four behavioural experiments, we assessed detection of multiple faces via observers' ability to differentiate between two types of display. Fixed displays comprised items of the same type (all faces or all non-faces). Mixed displays combined faces and non-faces. Critically, a 'fixed' response requires all items to be processed. We found that additional faces could be detected with no cost to efficiency, and that this capacity-free performance was contingent on visual context. The observed pattern was not specific to faces, but detection was more efficient for faces overall. Our findings suggest that strict capacity limits in face perception occur after the detection step.

Individual antimicrobial treatments in veal calves: Effect on the net carcasses weight at the slaughterhouse and relationship with the serostatus of the calves upon arrival to the fattening unit. In recent years, the scientific community, institutions, and public opinion have shown a growing awareness towards the problem of antimicrobial resistance. Guidelines from the European Union aim at significantly reducing (even avoiding) the antimicrobial use for prophylactic and metaphylactic purposes in veterinary medicine and this represents an important issue for several intensive farming systems, such as the veal industry. This retrospective observational cohort study analyzed net carcass weight data at the slaughter of 618 veal calves belonging to 6 batches of animals fattened in an Italian commercial farm according to the number of individual antimicrobial treatments administered during the fattening cycle. Sixty-eight percent (419 animals) of the overall sample of calves received at least one individual antimicrobial treatment due to a disease event during the fattening, and 280 of these (45 % of the overall sample) had more than one treatment. On average, the net carcass weight of calves individually treated more than once was about 10 kg lower than that of untreated calves or treated only once. Moreover, the carcasses of calves that received more than one treatment were 16 times more at risk of being severely penalized in payment at the slaughterhouse due to a net weight below 110 kg than those of untreated calves. Serum analysis data of a subsample of 105 calves belonging to 3 out of the 6 batches collected within 5 days after their arrival to the veal farm identified 3 persistently infected animals by bovine viral diarrhea (BVD) virus and a prevalence of calves with serum immunoglobulin concentration below 7.5 g/L of 37 %. The presence of specific antibodies against infectious bovine rhinotracheitis (IBR) and bovine respiratory syncytial virus (BRSV) and a serum immunoglobulin level above 7.5 g/L at the onset of the fattening were the most important factors associated with a decreased risk of multiple individual antimicrobial treatments (and thus, disease development) or with a delay in disease onset during the fattening, thus leading to better performances at the slaughter. The outcomes of this study suggested that a relationship could exist between calf serostatus upon arrival to the veal farm and the possibility to avoid multiple individual antimicrobial treatments during fattening. Further research is needed to deeply study this association, as such knowledge would allow for planning effective preventing strategies to reduce the antimicrobial use in veal calves.

Large-scale human tissue analysis identifies Uroplakin 1a as a putative diagnostic marker for urothelial cancer. Uroplakin 1A (Upk1a) protein is relevant for stabilizing and strengthening urothelial cells and helps to prevent them from rupturing during bladder distension. Based on RNA expression data Upk1a is expressed in a limited number of normal tissues and tumors. To comprehensively evaluate the potential diagnostic and prognostic utility of Upk1a immunohistochemistry, a tissue microarray containing 6929 samples from 115 different tumor types and subtypes and 608 samples of 76 different normal tissue types was analyzed. Upk1a positivity was found in 34 (29.6 %) different tumor types including 9 (7.8 %) tumor types with at least one strongly positive case. The highest rates of Upk1a positivity were seen in various subtypes of urothelial neoplasms (42.6-98 %) including Brenner tumors of the ovary (64.9 %) followed by neoplasms of the thyroid (10.4-33.3 %). In urothelial tumors, Upk1a staining predominated at the cell membranes and staining intensity was often moderate to strong. In thyroidal neoplasms the staining was mostly purely cytoplasmic and of low to moderate intensity. Upk1a positivity was also seen in up to 15 % of cases in 25 additional tumor categories but the staining intensity was often cytoplasmic and the intensity was usually judged as weak and only rarely as moderate. Within non-invasive (pTa) tumors, the Upk1a positivity rate decreased from 94 % in pTa G2 (low grade) to 90.1 % in pTa G3 (p = 0.012) and was even lower in muscle-invasive carcinomas (41.5 %; p < 0.0001 vs pTaG3). Within muscle invasive carcinomas, Upk1a expression was unrelated to nodal metastasis (p > 0.05) and patient outcome (p > 0.05). In conclusion, Upk1a immunohistochemistry is a potentially useful and specific diagnostic marker for the distinction of urothelial carcinomas from other neoplasms. However, its sensitivity is less than 50 % in muscle-invasive cancers because Upk1a expression decreases during grade and stage progression.

The role of peritumoral CD8 + /TIA1 + lymphocytes in hepatocellular carcinoma aggressiveness and recurrence after surgical resection. Hepatocellular carcinoma (HCC) is characterized by a low mutation burden and a relatively low number of tumor-infiltrating lymphocytes (TILs), making still difficult to identify targets for specific therapies. The aim of this study was the identification of the prognostic role of TILs in HCC, focusing on their distribution and status of activation. We retrospectively enrolled 41 patients, undergone to liver resection for HCC. A significant increase of CD8 + intratumoral lymphocytes was observed in HCCs with prevalent solid architecture, but with a higher PD-1/TIA1 ratio, suggesting that HCCs with solid architecture have more peri-tumoral lymphocytes, but with minor functionality. At multivariate and univariate analyses, TIA1/CD8 ratio correlated with tumor recurrence, meaning that HCC with more activated TILs are characterized by a higher tumor aggressiveness. The use of a feasible and cheap immunohistochemical panel can help in post-surgical prognostic stratification, focusing not only in the raw number and density of TILs, but more on their state of activation and morphology.

Association of ATG16L1 rs2241880 and TP53 rs1042522 with characteristics and course of diffuse large B-cell lymphoma. Diffuse large B-cell lymphoma (DLBCL) represents the most frequent lymphoma in adults. Prognosis for DLBCL patients may be evaluated through the most prominent clinical/laboratory parameters or pattern of gene expression. In order to improve prognostic/prediction scores or provide new therapeutic targets, novel genetic markers are needed. This study evaluates the association of ATG16L1 rs2241880 and TP53 rs1042522 with clinical characteristics and course of DLBCL. The study included 108 DLCBL patients treated with R-CHOP. Of these, 44 patients were subjected to stem cell transplantation and 55 to radiotherapy. Genotyping was performed by TaqMan genotyping assays. Amongst analyzed characteristics and prognostic scores, genotypes were associated with clinical stage (TP53 CG+CC vs GG p = 0.06), extranodal disease (ATG16L1 AG vs AA p = 0.07; AG vs GG p = 0.04), lymphocyte-to-monocyte ratio (LMR) (ATG16L1 AA vs AG+GG, p = 0.052; AA vs GG, p = 0.054) and neutrophils-to-lymphocytes ratio (NLR) (ATG16L1 AA vs AG+GG, p = 0.033; AA vs GG, p = 0.003). Analyzed genotypes didn't impact response to therapy, relapse and therapy-related complications. Considering outcome, patients with ATG16L1 AA had higher survival rate than GG carriers (p = 0.04). In all patients, duration of overall survival (OS) and relapse free survival (RFS) was not affected by analyzed genotypes. When subjected to radiotherapy, patients with ATG16L1 A allele (p = 0.05) or AA genotype (p = 0.03) had superior OS. Our results demonstrated the association of TP53 rs1042522 with clinical stage and ATG16L1 rs2241880 with extranodal disease, LMR and NLR. The impact of ATG16L1 genotypes on OS in patients subjected to radiotherapy, indicates significance of individual single nucleotide polymorphisms (SNPs) in particular subgroups of DLBCL.

LncRNA PCGEM1 promotes colorectal cancer cell proliferation and migration in positive feedback loop through PCGEM1/miR-433-3p/CTCF axis. Prostate cancer gene expression marker 1 (PCGEM1) has been identified as an oncogenic long non-coding RNA (lncRNA) in diverse cancers, but it has never been linked with colorectal cancer (CRC). Former studies have shown the mutual regulation between lncRNAs and transcription factors (TFs) in cancer. CCCTC binding factor (CTCF) has been reported to transcriptionally activate lncRNAs in cancers. We predicted the binding of CTCF on PCGEM1 promoter through UCSC (https://genome.ucsc.edu/), but their relation has not been studied. We aimed to investigate whether and how PCGEM1 functioned in CRC cells and the interaction between PCGEM1 and CTCF. The impacts of PCGEM1 and CTCF inhibition on CRC cells were verified through loss-of-function experiments. Mechanism experiments were used to prove the binding between CTCF and PCGEM1 in CRC progression. PCGEM1 possessed a high expression level in CRC cells as well as tumors. CTCF transcriptionally activated PCGEM1 expression. Knockdown of PCGEM1 or CTCF impeded proliferation and migration and drove apoptosis of CRC cells. Moreover, PCGEM1 bound miR-433-3p to prevent miR-433-3p from targeting CTCF. We first revealed PCGEM1/miR-433-3p/CTCF positive feedback loop as an oncogenic axis in CRC cells, which potentially provides new clues for the advancement of CRC treatment.

Molecular identification and clinical significance of Mycobacterium seoulense strains from patients with nontuberculous mycobacterium infections. To investigate the clinical significance of Mycobacterium seoulense (M. seoulense) and the ideal gene for species determination. Clinical symptoms, laboratory examinations, and radiological examinations were retrospectively reviewed. The hsp65, 16S rRNA, rpoB and ITS region of M. seoulense, were sequenced and phylogenetic trees of mycobacterium strains were constructed. Four M. seoulense strains isolated from 4 patients caused pulmonary infections based on the symptoms and radiological results. The 16S rRNA sequence identified 2 strains as M. intracellulare and the other 2 as Stenotrophomonas maltophilia. In contrast, the rpoB, 16S-23S inter-region (ITS), and hsp65 sequences shared high identity with M. seoulense. Notably, the phylogenetic tree based on the ITS, hsp65, and rpoB sequences clustered 4 M. seoulense strains identified in this study with M. seoulense strains in the database. M. seoulense strains can cause infection in humans. They can be identified by sequencing ITS, hsp65, and rpoB genes.

Imaginary admittance and charge transfer resistance correlate to the physiological status of Shewanella oneidensis cultures in real time. Monitoring microbial activity is essential for industrial and environmental applications to proceed efficiently. To minimize time and labor-intensive monitoring, a new paradigm is required for in-situ, real time analysis. Since bioconversion of organics is accomplished by microorganisms through the oxidation of feedstocks linked to the reduction of electron acceptors, microorganisms can be viewed as electrochemical catalysts. In this respect, cell membranes have an electrical potential, which is analogous to a conventional capacitor and linked dynamically to cellular activity. Here we demonstrate the use of electrochemical impedance spectrometry (EIS) and cyclic voltammetry (CV) for monitoring microbial metabolic activity in real time, in-situ. The effect of organic electron donors as a function of concentration to the physiological status of strains of Shewanella oneidensis was determined. In this study, the pyomelanin overproducer (S. oneidensis ΔhmgA) and the pyomelanin deficient mutant (S. oneidensis ΔmelA) were chosen due to different surface electrochemical characteristics along with differences in oxygen utilization efficiency. CV, relative admittance, phase shift and permittivity changed with growth status and correlated with electron flow from organic carbon sources and terminal electron acceptor availability. This work offers a novel and inexpensive approach to real time monitoring with the advantage of abundant data.

Antibiotic susceptibility testing of Staphylococcus aureus using the Biolog OmniLog® system, a metabolic phenotyping assay. Use of the Biolog OmniLog® phenotyping system for antibiotic susceptibility testing (AST) was evaluated using 51 clinical isolates of Staphylococcus aureus. MIC testing by broth microdilution was compared to results generated using the OmniLog® system for oxacillin, daptomycin, vancomycin, gentamicin, linezolid, and tetracycline. There was >90% essential and categorical agreement between methods for all antibiotics, except gentamicin, which had 83.6% essential agreement, although very major errors occurred with linezolid (n = 3) and daptomycin (n = 1). Precision was satisfactory, with 5 triplicate measurements in agreement. A quantitative threshold allowed automated interpretation of MICs yielding results comparable to manual interpretation; oxacillin, gentamicin, and tetracycline resistance could be identified at a median of 7.13, 5.25, and 7.25 hours, respectively. Limitations include the small number of isolates, and especially resistant isolates tested, and the focus on a single species. Overall, the OmniLog® system was a precise method for AST of S. aureus, although accuracy was imperfect.

Exploring indigenous freshwater chlorophytes in integrated biophotovoltaic system for simultaneous wastewater treatment, heavy metal biosorption, CO2 biofixation and biodiesel generation. The study explored the combined photosynthetic activities of two green microalgal species, Tetradesmus obliquus and Tetradesmus reginae, on an integrated biophotovoltaic (BPV) platform for simultaneous wastewater treatment, toxic metal biosorption, carbon biofixation, bioelectricity generation and biodiesel production. The experimental setup comprised of a dual-chambered BPV with copper anode surrounded by T. obliquus in BG11 media, and copper cathode with T. reginae in municipal wastewater separated by Nafion 117 membrane. The study reported a maximum power density of 0.344 Wm-2 at a cell potential of 0.415 V with external resistance of 1000 Ω and 0.3268 V maximum open-circuit voltage. The wastewater electrical conductivity and pH increased from 583 ± 22 to 2035 ± 29.31 mS/cm and 7.403 ± 0.174 to 8.263 ± 0.055 respectively, signifying increased photosynthetic and electrochemical activities. Residual nitrogen, phosphorus, chemical oxygen demand, arsenic, cadmium, chromium and lead removal efficiencies by T. reginae were 100%, 80.68%, 71.91%, 47.6%, 88.82%, 71.24% and 92.96%, respectively. T. reginae accumulated maximum biomass of 0.605 ± 0.033 g/L with a CO2 biosequestration rate of 0.166 ± 0.010 gCO2/L/day and 42.40 ± 1.166% lipid content. Methyl palmitate, methyl undecanoate and 13-octadecenoic acid with relative abundances of 37.24%, 24.80% and 12.02%, respectively were confirmed.

Diagnosis and management of idiopathic recurrent pregnancy loss (RPL): Current immune testing and immunomodulatory treatment practice in the United Kingdom. Recurrent pregnancy loss (RPL) affects 1.9 % of couples. Despite the severe physical, psychological, and economic impact of RPL, miscarriage care provision remains highly heterogeneous. Due to the absence of strong scientific evidence, national and international guidelines on the diagnosis and treatment of this condition remain unclear and often contradictory. In the absence of identifiable RPL-associated risk factors, when the condition is termed "idiopathic", immunological tests and immunomodulatory treatments are sometimes suggested even though the contribution of aberrant immune activity to this condition remains undetermined. Through an online survey, distributed across the UK (37.7% response rate), a high variation in clinical practice was detected, with multiple RPL definitions utilized and different tests employed for potential risk factor identification. Immunological testing was found to be provided in 7.9 %(N = 3) of the included clinics. Moreover, multiple therapies, including immunomodulatory ones were utilized for the management of idiopathic RPL. These findings highlight a need for additional research on the implication of immune activity in this condition. The high variation between clinics regarding the tests employed for the diagnosis and management of idiopathic RPL also underlines the need for guidelines to direct clinical practice, taking into consideration both the patients' needs but also the strength of the available scientific evidence.

Algorithms of adaptation in inductive inference. We investigate the idea that human concept inference utilizes local adaptive search within a compositional mental theory space. To explore this, we study human judgments in a challenging task that involves actively gathering evidence about a symbolic rule governing the behavior of a simulated environment. Participants learn by performing mini-experiments before making generalizations and explicit guesses about a hidden rule. They then collect additional evidence themselves (Experiment 1) or observe evidence gathered by someone else (Experiment 2) before revising their own generalizations and guesses. In each case, we focus on the relationship between participants' initial and revised guesses about the hidden rule concept. We find an order effect whereby revised guesses are anchored to idiosyncratic elements of the earlier guess. To explain this pattern, we develop a family of process accounts that combine program induction ideas with local (MCMC-like) adaptation mechanisms. A particularly local variant of this adaptive account captures participants' hypothesis revisions better than a range of alternative explanations. We take this as suggestive that people deal with the inherent complexity of concept inference partly through use of local adaptive search in a latent compositional theory space.

Association of placental fatty acid desaturase 2 (FADS2) methylation with maternal fatty acid levels in women with preeclampsia. Biosynthesis of long-chain polyunsaturated fatty acids requires sequential activities of desaturases and elongases for conversion of fatty acid precursors to products. The delta-6 desaturase enzyme, encoded by FADS2 gene, is a rate limiting enzyme in this pathway. Alterations in D6D enzyme activity can lead to altered fatty acid profiles. To examine differences in placental DNA methylation (DNAm) and expression of FADS2 gene in preeclampsia women compared to normal women and their association with maternal variables (plasma fatty acids, desaturase enzyme index, blood pressure), placental weight and birth outcomes. DNAm and expression of FADS2 gene were examined in placentae of normotensive (n = 100) control and preeclampsia (n = 100) women using pyrosequencing and quantitative real-time PCR respectively. Women with preeclampsia included those delivering at term (n = 43, gestation ≥ 37 weeks; T-PE) or preterm (n = 57, gestation < 37 weeks; PT-PE). A total of 26 CpGs in FADS2 promoter and region around it, were analysed in two PCR reactions (region 1 and 2). Out of 13 CpGs in region 1, significant hypermethylation was noted at CpG3 in T-PE (p = 0.03) and of 13 CpGs in region 2, CpG2 (p = 0.008), CpG11 (p = 0.04), CpG12 (p = 0.001) were hypomethylated and CpG13 (p = 0.001) was hypermethylated in preeclampsia group, as compared to controls. FADS2 expression was lower in PT-PE as compared to controls (p = 0.04). DNAm at various CpGs in the FADS2 were associated with maternal plasma FADS2 enzyme index and also associated with maternal fatty acid levels. However, we did not observe any association of DNAm with maternal blood pressure, placental weight and birth outcomes. This study for the first time reports differential methylation of FADS2 and its association with impaired maternal fatty acid metabolism in preeclampsia and provides a mechanistic basis to our earlier observations of altered maternal LCPUFA levels in women with preeclampsia.

Advances in engineering and optimization of transcription factor-based biosensors for plug-and-play small molecule detection. Transcription factor (TF)-based biosensors have been applied in biotechnology for a variety of functions, including protein engineering, dynamic control, environmental detection, and point-of-care diagnostics. Such biosensors are promising analytical tools due to their wide range of detectable ligands and modular nature. However, designing biosensors tailored for applications of interest with the desired performance parameters, including ligand specificity, remains challenging. Biosensors often require significant engineering and tuning to meet desired specificity, sensitivity, dynamic range, and operating range parameters. Another limitation is the orthogonality of biosensors across hosts, given the role of the cellular context. Here, we describe recent advances and examples in the engineering and optimization of TF-based biosensors for plug-and-play small molecule detection. We highlight novel developments in TF discovery and biosensor design, TF specificity engineering, and biosensor tuning, with emphasis on emerging computational methods.

Cost-effectiveness of single-inhaler extrafine beclometasone dipropionate/formoterol fumarate/glycopyrronium in patients with uncontrolled asthma in England. In patients with asthma that is uncontrolled by a medium- or high-dose inhaled corticosteroid (ICS) plus long-acting β2-agonist (LABA), a maintenance therapy option is the addition of a long-acting muscarinic agonist, either via multiple inhalers, or single-inhaler triple therapy (SITT). One SITT is the extrafine formulation of beclometasone dipropionate/formoterol fumarate/glycopyrronium (BDP/FF/G). We used data from two 52-week clinical trials (TRIMARAN and TRIGGER), both conducted in adults with asthma uncontrolled by ICS/LABA, to investigate the cost-effectiveness of BDP/FF/G. A Markov cohort state transition model (focusing on exacerbations) was used to investigate the cost-effectiveness of medium- or high-dose BDP/FF/G vs medium- or high-dose BDP/FF, and high-dose BDP/FF/G vs high-dose BDP/FF + tiotropium. The model analysed cost, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio (ICER), and was developed from the England National Health Service perspective (2020 costs). Uncertainty of the inputs was estimated using one-way and probabilistic sensitivity analyses. Both medium- and high-dose BDP/FF/G were cost-effective vs BDP/FF, with ICERs of £12,224 and £15,587 per QALY gained. High-dose BDP/FF/G was dominant vs BDP/FF + tiotropium, as it was both cheaper and gained QALYs. Sensitivity analyses were consistent with the base model: medium- and high-dose BDP/FF/G had 94.3% and 88.3% likelihoods to be cost-effective vs BDP/FF; high-dose BDP/FF/G had 100% likelihood to be a dominant strategy vs BDP/FF + tiotropium. Both medium- and high-dose BDP/FF/G were cost-effective vs medium- and high-dose BDP/FF in adults with asthma that was uncontrolled by ICS/LABA. In addition, high-dose BDP/FF/G was a dominating strategy to high-dose BDP/FF + tiotropium. GOV: NCT02676076 and NCT02676089.

Shipping spills and plastic pollution: A review of maritime governance in the North Sea. Plastic pollution of our oceans from land-based sources and shipping spills raises concerns for marine ecosystems, maritime industries and human health. This paper examines the systems and processes in place in the case of plastic pollution due to a shipping spill in the North Sea and the instruments and mechanisms to hold polluters accountable. A desk-based analysis was conducted, and 11 expert interviews contextualised the desk findings. From the 263 reported incidents from 1917 to 2021, 39 % of the reported container loss cases occurred in, or near, the North Sea. Fragmented jurisdiction, frail and uncoordinated policies, aid the shipping sector to deflect responsibility. Around 62 % of the obstacles mentioned by the interviewees addressed governance, including, notably, the lack of international measures, and regulations on shipping routes to protect sensitive areas. The study also identifies the difficulty to enforce compensation for the damage made to ecosystems and biodiversity.

CDFRegNet: A cross-domain fusion registration network for CT-to-CBCT image registration. Computer tomography (CT) to cone-beam computed tomography (CBCT) image registration plays an important role in radiotherapy treatment placement, dose verification, and anatomic changes monitoring during radiotherapy. However, fast and accurate CT-to-CBCT image registration is still very challenging due to the intensity differences, the poor image quality of CBCT images, and inconsistent structure information. To address these problems, a novel unsupervised network named cross-domain fusion registration network (CDFRegNet) is proposed. First, a novel edge-guided attention module (EGAM) is designed, aiming at capturing edge information based on the gradient prior images and guiding the network to model the spatial correspondence between two image domains. Moreover, a novel cross-domain attention module (CDAM) is proposed to improve the network's ability to guide the network to effectively map and fuse the domain-specific features. Extensive experiments on a real clinical dataset were carried out, and the experimental results verify that the proposed CDFRegNet can register CT to CBCT images effectively and obtain the best performance, while compared with other representative methods, with a mean DSC of 80.01±7.16%, a mean TRE of 2.27±0.62 mm, and a mean MHD of 1.50±0.32 mm. The ablation experiments also proved that our EGAM and CDAM can further improve the accuracy of the registration network and they can generalize well to other registration networks. This paper proposed a novel CT-to-CBCT registration method based on EGAM and CDAM, which has the potential to improve the accuracy of multi-domain image registration.

Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw. State-of-the-art finite element studies on human jaws are mostly limited to the geometry of a single patient. In general, developing accurate patient-specific computational models of the human jaw acquired from cone-beam computed tomography (CBCT) scans is labor-intensive and non-trivial, which involves time-consuming human-in-the-loop procedures, such as segmentation, geometry reconstruction, and re-meshing tasks. Therefore, with the current practice, researchers need to spend considerable time and effort to produce finite element models (FEMs) to get to the point where they can use the models to answer clinically-interesting questions. Besides, any manual task involved in the process makes it difficult for the researchers to reproduce identical models generated in the literature. Hence, a quantitative comparison is not attainable due to the lack of surface/volumetric meshes and FEMs. We share an open-access repository composed of 17 patient-specific computational models of human jaws and the utilized pipeline for generating them for reproducibility of our work. The used pipeline minimizes the required time for processing and any potential biases in the model generation process caused by human intervention. It gets the segmented geometries with irregular and dense surface meshes and provides reduced, adaptive, watertight, and conformal surface/volumetric meshes, which can directly be used in finite element (FE) analysis. We have quantified the variability of our 17 models and assessed the accuracy of the developed models from three different aspects; (1) the maximum deviations from the input meshes using the Hausdorff distance as an error measurement, (2) the quality of the developed volumetric meshes, and (3) the stability of the FE models under two different scenarios of tipping and biting. The obtained results indicate that the developed computational models are precise, and they consist of quality meshes suitable for various FE scenarios. We believe the provided dataset of models including a high geometrical variation obtained from 17 different models will pave the way for population studies focusing on the biomechanical behavior of human jaws.

PregGAN: A prognosis prediction model for breast cancer based on conditional generative adversarial networks. Generative adversarial network (GAN) is able to learn from a set of training data and generate new data with the same characteristics as the training data. Based on the characteristics of GAN, this paper developed its capability as a tool of disease prognosis prediction, and proposed a prognostic model PregGAN based on conditional generative adversarial network (CGAN). The idea of PregGAN is to generate the prognosis prediction results based on the clinical data of patients. PregGAN added the clinical data as conditions to the training process. Conditions were used as the input to the generator along with noises. The generator synthesized new samples using the noises vectors and the conditions. In order to solve the mode collapse problem during PregGAN training, Wasserstein distance and gradient penalty strategy were used to make the training process more stable. In the prognosis prediction experiments using the METABRIC breast cancer dataset, PregGAN achieved good results, with the average accurate (ACC) of 90.6% and the average AUC (area under curve) of 0.946. Experimental results show that PregGAN is a reliable prognosis predictive model for breast cancer. Due to the strong ability of probability distribution learning, PregGAN can also be used for the prognosis prediction of other diseases.

Biomechanical validation of structural optimized patient-specific mandibular reconstruction plate orienting additive manufacturing. Owing to the unexpected in vivo fracture failure of the original design, structural optimized patient-specific mandibular reconstruction plates (PSMRPs) were created to boost the biomechanical performance of bridging segmental bony defect in the mandibular reconstruction after tumor resection. This work aimed to validate the biomechanical benefit of the structural optimized PSMRPs relative to the original design and compare the biomechanical performance between PSMRP1 with generic contour customization and PSMRP2 with a tangent arc upper margin in mandibular angle region. Finite Element Analysis (FEA) was used to evaluate the biomechanical behavior of mandibular reconstruction assemblies (MRAs) concerning these two structural optimized PSMRPs by simulating momentary left group clenching and incisal clenching tasks. Bonded contact was set between mandibular bone and fixation screws and between PSMRP and fixation screws in the MRA, while the frictionless connection was allocated between mandibular bone and PSMRP. The loads were applied on four principal muscles, including masseter, temporalis, lateral and medial pterygoid, whose magnitudes along the three orthogonal directions. The mandibular condyles were retrained in all three directions, and either the left molars or incisors area were restrained from moving vertically. The peak von Mises stresses of structural optimized PSMRPs (264 MPa, 296 MPa) were way lower than that of the initial PSMRP design (393 MPa), with 33 and 25% reduction during left group clenching. The peak magnitude of von Mises stress, minimum principal stress, and maximum principal strain of PSMRP1 (264 MPa, 254 MPa; -297 MPa, -285 MPa; 0.0020, 0.0020) was lower than that of PSMRP2 (296 MPa, 286 MPa; -319 MPa, -306 MPa; 0.0022, 0.0020), while the peak maximum principal stress of PSMRP1 (275 MPa, 257 MPa) was higher than that of PSMRP2 (254 MPa, 235 MPa) during both left group clenching and incisal clenching tasks. The structural optimized PSMRPs reveal their biomechanical advantage compared with the original design. The PSMRP1 presents better biomechanical performance to the patient-specific mandibular reconstruction than PSMRP2 as a result of its superior safety, preferable flexibility, and comparable stability. The PSMRP2 provides biomechanical benefit in reducing the maximum tension than PSMRP1, indicated by lower peak maximum principal stress, through tangent arc upper margin in mandibular angle region.

An imputation-based genome-wide association study for growth and fatness traits in Sujiang pigs. Sujiang pigs are a synthetic breed derived from Jiangquhai, Fengjing, and Duroc pigs. In this study, we sequenced the genome of 62 pigs with a coverage depth of 10× to 20×, including 27 Sujiang and 35 founder breed pigs, and we collected 360 global pigs' genome sequence data from public databases including 39 Duroc pigs. We obtained a high-quality variant dataset of 365 Sujiang pigs by imputing the porcine 80 K single nucleotide polymorphism (SNP) Beadchip to the whole-genome scale with a total of 422 pigs as a reference panel. A dataset of 365 imputated Sujiang pigs was used to perform single-trait genome-wide association study (GWAS) and meta-analyses for growth and fatness traits. Single-trait GWAS identified 1 907, 18, and 14 SNPs surpassing the suggestively significant threshold for backfat thickness, chest circumference, and chest width, respectively. Meta-analyses identified 2 400 genome-wide significant SNPs and 520 suggestively significant SNPs for backfat thickness and chest circumference, and 719 genome-wide significant SNPs and 1 225 suggestively significant SNPs for all seven traits. According to the meta-analysis of backfat thickness and chest circumference, a remarkable region of 2.69 Mb on Sus scrofa chromosome 4 containing FAM110B, IMPAD1, LYN, MOS, PENK, PLAG1, SDR16C5 and XKR4 was identified as a candidate region. The haplotype heat map of the 2.69 Mb region verified that Sujiang pigs were derived from Duroc and Chinese indigenous pigs, especially Jiangquhai pigs. The Kruskal-Wallis test showed that haplotypes of the 2.69 Mb region significantly affected backfat thickness and chest circumference traits. We then focused on PLAG1, an important growth-related gene, and identified two synonymous SNPs with obvious differences among different breeds in the PLAG1 gene. We then performed genotyping of 365 Sujiang, 150 Duroc, 95 Jiangquhai, and 100 Fengjing pigs to confirm the above result and verified that the two variants significantly affected phenotypes of growth and fatness traits. Our findings not only provide insights into the genetic architecture of porcine growth and fatness traits but also provide potential markers for selective breeding of these traits in Sujiang pigs.

Association between the prion protein genotype and animal performance traits in a large multibreed sheep population. Genetic susceptibility to scrapie, a fatal disease of sheep and goats, is modulated by polymorphisms in the prion protein (PrP). Neither the frequency of the PrP genotypes nor their association with animal performance has been investigated in a large multibreed Irish sheep population. Scrapie genotypes were available on 16 416 animals; the breeds represented included purebred Belclare (733), Charollais (333), Suffolk (739), Texel (1 857), Vendeen (191), and crossbreds (12 563). Performance data on lambing, lamb and ewe performance as well as health traits were available. The association between alternative approaches of describing the PrP genotype (i.e. 15 individually called PrP genotypes, five genotype classes representing susceptibility to scrapie, or number of ARR haplotypes) and animal performance were quantified using animal linear mixed models. All 15 of the possible scrapie genotypes were detected, although the frequency differed by breed. The frequency of the five PrP haplotypes in the entire population were 0.70 (ARR), 0.15 (ARQ), 0.11 (ARH), 0.02 (AHQ) and 0.01 (VRQ); the most susceptible haplotype (VRQ) was only detected in purebred Texels and crossbreds. No association was detected between the PrP genotype of either the animal or dam and any of the lambing traits (i.e. lambing difficulty score, perinatal mortality and birth weight). With the exception of ultrasound muscle depth, no association between the PrP genotype and any of the lamb performance traits (i.e. lamb BW and carcass) was observed. Lambs carrying the category four PrP genotype (i.e. ARR/VRQ) had 1.20 (SE = 0.45) mm, 1.38 (SE = 0.12) mm, 1.47 (S = 0.25) mm shallower ultrasound muscle depth relative to lambs of the less susceptible scrapie categories of 1, 2, 3, respectively (P < 0.05). Nonetheless, no association between PrP genotype and lamb carcass conformation, the ultimate end goal of producers, was detected. Ewe litter size, body condition score or lameness did not differ by PrP genotype of the ewe (P > 0.05). For ewe mature BW, ARH/VRQ ewes differed from most other ewe PrP genotypes and were, on average, 3.79 (SE = 1.66) kg heavier than ARR/ARR genotype ewes. Lamb dag score differed by dam PrP genotype (P < 0.05), although the differences were small. Results from this study show that scrapie is segregating within the Irish sheep population, but the PrP genotype was not associated with most traits investigated and, where associations were detected, the biological significance was minimal. This suggests minimal impact of selection on PrP genotype on performance, at least for the traits investigated in the present study.

Total bilirubin is an independent predictor of death in dogs with degenerative valvular disease and dilated cardiomyopathy. There is little published regarding the association between canine cardiovascular disease and the hepatic system. The objective of the study was to evaluate the relationship between hepatic parameters, survival, and disease stages of dogs with either dilated cardiomyopathy (DCM) or degenerative valvular disease (DVD). Retrospective study analyzing hepatic parameters in dogs with DVD or DCM in American College of Veterinary Internal Medicine stage B or C and healthy control dogs. Associations between liver parameters, type and stage of disease, and survival were investigated. Ninety-nine dogs were included in the study: 61 DVD, 22 DCM, and 16 controls. Differences in liver parameter concentrations between DCM, DVD, and disease stages were found. Univariate analysis identified alanine aminotransferase (P < 0.001), aspartate aminotransferase (P = 0.02), and total bilirubin (P = 0.005) as predictors of mortality. In the multivariate analysis, total bilirubin remained an independent predictor of mortality. The observed differences between DCM, DVD, and disease stages are likely consistent with disease-specific hemodynamics and progression of disease. This and the role of total bilirubin as an independent predictor for mortality indicate that in dogs with DVD and DCM the cardiovascular-hepatic interaction might be of relevance for disease progression and outcome, as reported for humans with cardiac disease. Further studies into the role of hepatic function in canine cardiac disease are required.

Extrachromosomal circular DNA: A neglected nucleic acid molecule in plants. Throughout the years, most plant genomic studies were focused on nuclear chromosomes. Extrachromosomal circular DNA (eccDNA) has largely been neglected for decades since its discovery in 1965. While initial research showed that eccDNAs can originate from highly repetitive sequences, recent findings show that many regions of the genome can contribute to the eccDNA pool. Currently, the biological functions of eccDNAs, if any, are a mystery but recent studies have indicated that they can be regulated by different genomic loci and contribute to stress response and adaptation. In this review, we outline current relevant technological developments facilitating eccDNA identification and the latest discoveries about eccDNAs in plants. Finally, we explore the probable functions and future research directions that could be undertaken with respect to different eccDNA sources.

Genomic imprinting regulates establishment and release of seed dormancy. Seed dormancy enables plant seeds to time germination until environmental conditions become favorable for seedling survival. This trait has high adaptive value and is of great agricultural relevance. The endosperm is a reproductive tissue formed after fertilization that in addition to support embryo growth has major roles in establishing seed dormancy. Many genes adopt parent-of-origin specific expression patterns in the endosperm, a phenomenon that has been termed genomic imprinting. Imprinted genes are targeted by epigenetic mechanisms acting before and after fertilization. Recent studies revealed that imprinted genes are involved in establishing seed dormancy, highlighting a new mechanism of parental control over this adaptive trait. Here, we review the regulatory mechanisms establishing genomic imprinting and their effect on seed dormancy.

Discovery of potent ebola entry inhibitors with (3S,4aS,8aS)-2-(3-amino-2-hydroxypropyl) decahydroisoquinoline-3-carboxamide scaffold. Ebola virus (EBOV), one member of the family Filoviridae, can causes hemorrhagic fever and other severe diseases in humans with a high mortality rate (25-90%). Until recently, there were no approved drugs and very limited treatment method for Ebola virus disease. In this study, we discovered a series of potent Ebola entry inhibitors with the (3S,4aS,8aS)-2-(3-amino-2-hydroxypropyl)decahydroisoquinoline-3-carboxamide scaffold from high-throughput screening in reported pseudotyped virus system. Further optimization resulted a most potent compound 28 (IC50= 0.05 μM, SI = 98), which displayed 3-fold potency compared to the known inhibitor Toremifene (IC50= 0.17 μM, SI = 55). Moreover, compound 28 exhibited the remarkable selectivity between EBOV-GP and VSV-G (Spec. Index = 58), thus could exclude nonspecific effects. Structure-activity relationship and molecular docking analysis of the new chemical scaffold provided more information on the binding modes and the spare volume at the binding cavity, thus can guide the design of the further potent compounds.

Digital images are hard to resist: Teaching viewers about the effects of camera angle does not reduce the camera angle's impact on power judgments. Digital images on the internet are often designed to manipulate viewers' interpretations. Therefore, it is important to educate viewers regarding potential effects of such techniques. We investigated whether two interventions addressing potential effects of camera angle affect the technique's effect on participants' power-related judgments of depicted persons. In two experiments, participants were assigned to one of two conditions with introductory information that either included information about the effect of camera angle or did not include such information. In Experiment 2, we additionally varied whether participants engaged in a task practicing the detection of camera angles or not. None of the interventions affected how participants rated digital pictures of persons that were shot from different camera angles. However, both experiments demonstrated that the interventions were successful in making viewers aware of the potential effects of camera angles - as evident in the participants' responses to open-ended questions. Potential reasons for the lack of effects on the participants' power-related judgments of the depicted persons are discussed.

Assessment of a computed tomography-based radiomics approach for assessing lung function in lung cancer patients. We aimed to assess radiomics approaches for estimating three pulmonary function test (PFT) results (forced expiratory volume in one second [FEV1], forced vital capacity [FVC], and the ratio of FEV1 to FVC [FEV1/FVC]) using data extracted from chest computed tomography (CT) images. This retrospective study included 85 lung cancer patients (mean age, 75 years ±8; 69 men) who underwent stereotactic body radiotherapy between 2012 and 2020. Their pretreatment chest breath-hold CT and PFT data before radiotherapy were obtained. A total of 107 radiomics features (Shape: 14, Intensity: 18, Texture: 75) were extracted using two methods: extraction of the lung tissue (<-250 HU) (APPROACH 1), and extraction of small blood vessels and lung tissue (APPROACH 2). The PFT results were estimated using the least absolute shrinkage and selection operator regression. Pearson's correlation coefficients (r) were determined for all PFT results, and the area under the curve (AUC) was calculated for FEV1/FVC (<70 %). Finally, we compared our approaches with the conventional formula (Conventional). For the estimated FEV1/FVC, the Pearson's r were 0.21 (P =.06), 0.69 (P <.01), and 0.73 (P <.01) for Conventional, APPROACH 1, and APPROACH 2, respectively; the AUCs for FEV1/FVC (<70 %) were 0.67 (95 % confidence interval [CI]: 0.55, 0.79), 0.82 (CI: 0.72, 0.91; P =.047) and 0.86 (CI: 0.78, 0.94; P =.01), respectively. The radiomics approach performed better than the conventional equation and may be useful for assessing lung function based on CT images.

Discovery of a novel class of benzoxazole derivatives as histamine H3 receptor ligands for the treatment of neuropathic pain. To discover effective analgesics, we summarize the synthesis, optimization, and pharmacological anti-nociceptive effects of a novel series of benzoxazole derivatives targeting H3 receptor (H3R). The new benzoxazoles were assayed in vitro for histamine H3R and H1R binding affinity. The best compound 8d (2-methyl-6-(3-(4-methylpiperazin-1-yl)propoxy)benzo[d]oxazole) exhibited high affinity for H3R (Ki = 19.7 nM), high selectivity for ten other off-target receptors, and negligible effects on human ether-a-go-go-related gene (hERG, cardiac ion channel). In rodent animals, compound 8d dose-dependently reversed formalin-evoked pain (Phase I, ED50 = 6.0 mg/kg; Phase II, ED50 = 7.8 mg/kg) and CCI-induced neuropathic pain (chronic constriction injury, ED50 = 15.6 mg/kg). Furthermore, compound 8d showed an excellent safety profile in acute toxicity test (LD50 > 2000 mg/kg) with a therapeutic index (TI = LD50/ED50) > 250 and showed a desirable drug-like pharmacokinetic profile. Above characteristics indicate that compound 8d represents a promising candidate analgesic for the treatment of neuropathic pain.

Imidazo[4,5-b]pyridine derived tubulin polymerization inhibitors: Design, synthesis, biological activity in vitro and computational analysis. Imidazo[4,5-b]pyridine derived acrylonitriles were synthesized and explored for their in vitro antiproliferative effect on a diverse human cancer cell line panel. Three compounds, 20, 21 and 33, showed strong activity in the submicromolar range (IC50 0.2-0.6 μM), and were chosen for further biological experiments. Immunofluorescence staining and tubulin polymerization assays confirmed tubulin as the main target, but excluded its colchicine-binding site as a potential interacting unit. This was supported by the computational analysis, which revealed that the most potent ligands act on the extended colchicine site on the surface between interacting tubulin subunits, where they interfere with their polymerization and reveal pronounced antitumor properties. In addition, lead molecule 21 potently inhibited cancer cell migration, while it did not affect the viability of normal cells even at the highest concentration tested (100 µM).

Cortisol and shiftwork: A scoping review. The aim of this review was to explore the extent and nature of evidence exploring shiftwork and disruptions to cortisol. A systematic search was conducted across five databases: Medline, EMBASE, Psych INFO, Joanna Briggs Institute and PubMed between July-August 2020. Cortisol data were characterised into three main outcomes, 1) cortisol levels, 2) cortisol rhythm, and 3) cortisol awakening response (CAR) during shiftwork. Main findings demonstrate that shiftwork, especially night shift, significantly disrupts production of cortisol, the cortisol rhythm and CAR and, irregular shift schedules produce greater disruptions to cortisol than regular shift schedules. It was difficult to draw conclusions about the impact of shiftwork on movement of the cortisol rhythm and adaptation or recovery of the cortisol rhythm to and from night shift as the literature lacks consistency in definition of methods and variables. The present state of literature demonstrates cortisol levels, cortisol rhythm and the CAR are all disrupted by shiftwork, but there is a lack of consistency between studies on use of variables and most of the literature focuses on acute disruption rather than chronic effects. It will be important for future studies to investigate possible mechanisms that link shiftwork, disruptions to cortisol and chronic health conditions prevalent in shiftworkers.

Academic self-concept mediates the effect of online learning engagement on deep learning in online courses for Chinese nursing students: A cross-sectional study. Online learning is prevalent among nursing students, but the effect of online learning seems not as good as expected. Deep learning, as a learning approach that could help people solve complex problems and make innovative decisions, is associated with individual behavior and psychology. However, from the perspective of individual behavior and psychology to explore the potential influence mechanism of deep learning in online courses is little, in China or indeed internationally. The purpose of this study is to explore the relationship between online learning engagement, academic self-concept and deep learning in online courses for Chinese nursing students, and the mediating effect of academic self-concept on the relationship between online learning engagement and deep learning in online courses of Chinese nursing students. A cross-sectional electronic survey. The study was conducted using a convenience sample of 617 nursing students in five schools in eastern, central, and western China from September 2021 to October 2021 (the number of eligible students in the five schools was 2065). The data were collected with the College students' learning engagement scale in cyberspace, Academic self-concept scale and Deep learning scale in online courses, and analyzed by correlation analysis, univariate analysis, multiple linear regression and PROCESS macro. 594 valid questionnaires were collected (effective response rate: 96.2 %). High online learning engagement and high academic self-concept were correlated with a high level of deep learning in online courses (correlation coefficient: 0.731 to 0.800). Part of the influence of online learning engagement on deep learning in online courses was mediated by academic self-concept, and the indirect effect accounts for 39.75 % of the total effect. Chinese nursing students' online learning engagement may partially influence deep learning in online courses through academic self-concept.

Social anxiety disorder and childhood adversities in Portugal: Findings from the WHO world mental health survey initiative. Social anxiety disorder (SAD) is one of the most underrecognized and undertreated common mental disorders. This study aimed to describe its epidemiology and to understand the association between childhood adversities and SAD in the context of Portugal's collectivist culture. Data about SAD, childhood adversities, socio-demographic variables were collected from a nationally representative sample using well-validated scales employed for the World Mental Health Survey. Logistic and linear regression models were carried out to explore the association between childhood adversities and SAD prevalence and age of onset. The estimated lifetime prevalence of SAD was 4.68% and the 12-month prevalence was 3.14%. The mean age of onset was 13.6 ± 8.79. People with a college education had 3.42 higher odds of having SAD compared to people with no education or a primary school education. Most childhood adversities significantly increased the odds of a lifetime prevalence of SAD. Parental Maladjustment increased the odds of SAD when gender, age, and education were adjusted. The study findings show a relatively high prevalence of SAD in Portugal and confirms that females, younger people, students, and single people are more likely to have SAD. The study highlights the need to address experiences of parental maladjustment in interventions for people with SAD in Portugal.

Dissociable effects of attention and expectation on perceptual sensitivity to action-outcomes. Self-generated sensations evoke attenuated neural response - physiological attenuation - and is perceived with less intensity - perceptual attenuation. This phenomenon is referred as sensory attenuation and is proposed to reflect the silencing of predicted sensations. The present study aimed to investigate the independent contribution of expectation and attention on sensory attenuation. The expectation associated with the stimulus feature and the focus of attention was manipulated independently by orthogonal cues. We found pronounced sensory attenuation at the unattended location when the stimulus was self-generated (Experiment 1). When the stimulus was externally-generated (Experiment 2), sensory attenuation was observed at the attended location. Sensory attenuation of expected action-outcome was not observed when the attention cue was uninformative (Experiment 3A). The findings corroborate the claim from Bayesian models that attention mediates sensory attenuation. The results also highlight the paradoxes in Bayesian proposals of perception-action interaction.

The overlap of medical child abuse and central sensitization in adolescents: An exploratory qualitative study. Both medical child abuse (MCA) and central sensitization (CS) may present in adolescents with chronic pain, disability, high healthcare utilization, and unremarkable medical evaluations. This study aimed to identify themes in the clinical narratives of adolescents with chronic pain that may help differentiate MCA from CS. Participants were 28 adolescents (ages 13-18 years) with chronic pain referred to either the Child Abuse Pediatrics team or the Pediatric Pain Medicine team at a tertiary children's hospital between 2011 and 2019, and diagnosed with MCA or CS, respectively. This was a qualitative, retrospective study. Qualitative themes were derived through a process of inductive content analysis utilizing open coding, grouping, and secondary review by an interdisciplinary panel of experts. The relative prevalence of each code, theme, and overarching category was examined between groups to identify areas of convergence and divergence. Several themes appeared to be more prevalent in the MCA group (n = 9) compared to the CS group (n = 19). These included sick identity, homeschooling, caregiver with mental health disorder, maternal catastrophizing, maternal misrepresentation, persistence in healthcare-seeking, mandated reports made, medical neglect, and unnecessary and harmful medical care. This exploratory work identified themes from the clinical narratives of adolescents with chronic pain that may help differentiate MCA from CS. A visual reference, two illness scripts, and management recommendations are presented to aid pediatric providers in facilitating appropriate referrals for adolescents with chronic pain and disability out of proportion to diagnostic workup.

An efficient deep learning-based framework for tuberculosis detection using chest X-ray images. Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease, decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the top choice for lung disease screening in clinics because it is cost-effective and easily accessible in most countries. However, manual screening of CXR images is a heavy burden for radiologists, resulting in a high rate of inter-observer variances. Hence, proposing a cost-effective and accurate computer aided diagnosis (CAD) system for TB diagnosis is challenging for researchers. In this research, we proposed an efficient and straightforward deep learning network called TBXNet, which can accurately classify a large number of TB CXR images. The network is based on five dual convolutions blocks with varying filter sizes of 32, 64, 128, 256 and 512, respectively. The dual convolution blocks are fused with a pre-trained layer in the fusion layer of the network. In addition, the pre-trained layer is utilized for transferring pre-trained knowledge into the fusion layer. The proposed TBXNet has achieved an accuracy of 98.98%, and 99.17% on Dataset A and Dataset B, respectively. Furthermore, the generalizability of the proposed work is validated against Dataset C, which is based on normal, tuberculous, pneumonia, and COVID-19 CXR images. The TBXNet has obtained the highest results in Precision (95.67%), Recall (95.10%), F1-score (95.38%), and Accuracy (95.10%), which is comparatively better than all other state-of-the-art methods.

An ensemble framework for microarray data classification based on feature subspace partitioning. Feature selection is exposed to the curse of dimensionality risk, and it is even more exacerbated with high-dimensional data such as microarrays. Moreover, the low-instance/high-feature (LIHF) property of microarray data needs considerable processing time to do some calculations and comparisons among features to choose the best subset of them, which has led to many efforts to subdue the LIHF property of such genomic medicine data. Due to the promising results of the ensemble models in machine learning problems, this paper presents a novel framework, named feature-level aggregation-based ensemble based on overlapped feature subspace partitioning (FLAE-OFSP) for microarray data classification. The proposed ensemble has three main steps: after generating several subsets by the proposed partitioning approach, a feature selection algorithm (i.e., a feature ranker) is applied on each subset, and finally, their results are combined into a single ranked list using six defined aggregation functions. Evaluation of the presented framework based on seven microarray datasets and using four measures, including stability, classification accuracy, runtime, and Modscore shows substantial runtime improvement and also quality results in other evaluated measures compared to individual methods.

MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder. Existing diagnoses of mental disorders rely on symptoms, patient descriptions, and scales, which are not objective enough. We attempt to explore an objective diagnostic method on fMRI data. Graph neural networks (GNN) have been paid more attention recently because of their advantages in processing unstructured relational data, especially for fMRI data. However, how to deeply embed and well-integrate with different modalities and scales on GNN is still a challenge. Instead of reaching a high degree of fusion, existing GCN methods simply combine image and non-image data. Most graph convolutional network (GCN) models use shallow structures, making it challenging to learn about potential information. Furthermore, current graph construction approaches usually use a single specific brain atlas, limiting the analysis and results. In this paper, a multi-scale adaptive multi-channel fusion deep graph convolutional network based on an attention mechanism (MAMF-GCN) is proposed to better integrate features of modalities and different atlas by exploiting multi-channel correlation. An encoder automatically combines one channel with non-imaging data to generate similarity weights between subjects using a similarity perception mechanism. Other channels generate multi-scale imaging features of fMRI data after processing in the different atlas. Multi-modal information is fused using an adaptive convolution module that applies a deep graph convolutional network (GCN) to extract information from richer hidden layers. To demonstrate the effectiveness of our approach, we evaluate the performance of the proposed method on the Autism Brain Imaging Data Exchange (ABIDE) dataset and the Major Depressive Disorder (MDD) dataset. The experimental result shows that the proposed method outperforms many state-of-the-art methods in node classification performance. An extensive group of experiments on two disease prediction tasks demonstrates that the performance of the proposed MAMF-GCN on MDD/ABIDE dataset is improved by 3.37%-39.83% and 12.59%-32.92%, respectively. Moreover, our proposed method has also shown very effective performance in real-life clinical diagnosis. The comprehensive experiments demonstrate that our method is effective for node classification with brain disorders diagnosis. The proposed MAMF-GCN method simultaneously extracts specific and common embeddings from the topology composed of multi-scale imaging features, phenotypic information, and their combinations, then learning adaptive embedding weights by attention mechanism, which can capture and fuse the multi-scale essential embeddings to improve the classification performance of brain disorder diagnosis.

Effects of licorice on sex hormones and the reproductive system. The potential clinical effects of licorice (Glycyrrhiza spp.) and its extracts have been investigated since ancient times. Whether pseudohyperaldosteronism, with consequent arterial hypertension, is the only endocrine effect produced by licorice is uncertain, and a role in the reproductive system has been proposed. This review aimed to summarize the current knowledge on the pharmacologic effects of licorice on male and female reproductive systems. Overall, 1462 records were extracted from electronic databases and systematically examined. A total of 28 studies were included in the final analysis. Preclinical and clinical studies revealed estrogen-like activity of licorice components, especially flavonoids, isoflavonoids, and chalcones, showing a potential role of licorice in ameliorating symptoms associated with estrogen insufficiency. Preclinical studies also showed weak antiandrogen properties and beneficial effects of licorice on gonadal function in both sexes, but clinical studies yield to poor and conflicting results depending on the type and dose of licorice. Licorice consumption can affect the reproductive system. However, its role needs to be further explored, especially due to the great variability of bioactive compounds used in existing studies.

Is the standardized phase angle a predictor of short- and long-term adverse cardiovascular events in patients with acute myocardial infarction? A cohort study. Acute myocardial infarction (AMI) is myocardial necrosis resulting from myocardial ischemia, and its risk factors are usually a combination of the consumption of tobacco, inadequate diet, obesity, and a sedentary lifestyle, in addition to preexisting comorbidities. These risk factors may compromise cellular integrity, affecting physiologic and nutritional components. The phase angle (PhA) has been measured by bioelectrical impedance analysis (BIA) to identify the quality of the cell membrane and the distribution of body fluids. The aim of this study was to verify if the standardized PhA (SPhA) is a predictor of short- and long-term adverse cardiovascular events in patients after AMI. This was a prospective cohort study including hospitalized adult patients with a diagnosis of AMI. Demographic, clinical, and nutritional data were collected. The PhA was calculated through the measuring of the resistance (R) and reactance (Xc) from BIA, and it was adjusted based on reference values for sex and age, presenting, therefore, the SPhA. Low SPhA was defined as that &lt;10th percentile of distribution. Hospital length of stay (LOS) and major adverse cardiac events (MACE), such as new hospital admission for unstable angina, new MI, and cardiovascular mortality, were observed. The sample comprised 153 patients, with a mean age of 61.2 ± 12.6 y, with 57.5% being older adults. Fifteen patients with low SPhA (values &lt;-3.10) had a longer LOS compared with those with normal SPhA (median 14 versus 8 d, P = 0.007), and shorter time for the occurrence of death (320 versus 354 d, P = 0.024). In the multivariate analysis, an association was observed between SPhA and longer LOS (hazard ratio, 9.25; P = 0.005), but not with mortality and MACE (P &gt; 0.05 for all). SPhA was a predictor of longer LOS, but not of long-term adverse cardiac events in patients following AMI.

Quantification of mitral regurgitation after transcatheter edge-to-edge repair: Comparison of echocardiography and patient-specific in silico models. Doppler echocardiographic (echo) assessment of residual mitral regurgitation (MR) after transcatheter edge-to-edge repair (TEER) is challenging and often subjective. This study aimed to evaluate the accuracy and feasibility of standardized quantitative echo methods for assessment of MR severity after MitraClip repair by comparing measurements against a reference MR severity obtained from patient-specific in silico models. Post-procedure hemodynamics were simulated under five different MitraClip configurations in previously validated patient-specific in silico models for the treatment of functional MR. The residual regurgitant volume was calculated as in clinical practice using four quantitative virtual echo methods: pulsed Doppler, volumetric, proximal isovelocity surface area (PISA) and vena contracta area (VCA). Multiple permutations were performed for each method. Virtual echo MR results were evaluated against reference MR values directly extracted from the 5 patient-specific in silico models. The echo methods with the greatest accuracy were the three-dimensional (3D) volumetric method (r = 0.957, bias -0.8 ± 1.2 ml, p = 0.01), the 3D VCA method wherein velocity time integrals were evaluated for each jet assessed (r = 0.919, bias -1.5 ± 1.7 ml, p = 0.03), and the 3D PISA method integrating surface areas throughout systole (r = 0.98, bias -2.0 ± 0.9 ml, p = 0.003). The pulsed Doppler and 2D volumetric methods had technical limitations that may result in a high underestimation or overestimation of the MR severity after TEER. In the case of multiple regurgitant jets, a more accurate MR assessment was obtained when all significant jets were evaluated. Clinically, the 3D volumetric, 3D VCA and 3D PISA methods gave the most accurate MR quantification after TEER. Three-dimensional echo technologies harbor the potential of becoming the non-invasive imaging tool of choice for MR quantification after complex transcatheter mitral interventions.

REGLIV: Molecular regulation data of diverse living systems facilitating current multiomics research. Multiomics is a powerful technique in molecular biology that facilitates the identification of new associations among different molecules (genes, proteins & metabolites). It has attracted tremendous research interest from the scientists worldwide and has led to an explosive number of published studies. Most of these studies are based on the regulation data provided in available databases. Therefore, it is essential to have molecular regulation data that are strictly validated in the living systems of various cell lines and in vivo models. However, no database has been developed yet to provide comprehensive molecular regulation information validated by living systems. Herein, a new database, Molecular Regulation Data of Living System Facilitating Multiomics Study (REGLIV) is introduced to describe various types of molecular regulation tested by the living systems. (1) A total of 2996 regulations describe the changes in 1109 metabolites triggered by alterations in 284 genes or proteins, and (2) 1179 regulations describe the variations in 926 proteins induced by 125 endogenous metabolites. Overall, REGLIV is unique in (a) providing the molecular regulation of a clearly defined regulatory direction other than simple correlation, (b) focusing on molecular regulations that are validated in a living system not simply in an in vitro test, and (c) describing the disease/tissue/species specific property underlying each regulation. Therefore, REGLIV has important implications for the future practice of not only multiomics, but also other fields relevant to molecular regulation. REGLIV is freely accessible at: https://idrblab.org/regliv/.

Classification of overlapping spikes using convolutional neural networks and long short term memory. Spike sorting is one of the key techniques to understand brain activity. In this paper, we propose a novel deep learning approach based on convolutional neural networks (CNN) and long short term memory (LSTM) to implement overlapping spike sorting. The results of the simulated data demonstrated that the clustering accuracy was greater than 99.9% and 99.0% for non-overlapping spikes and overlapping spikes, respectively. Moreover, the proposed method performed better than our previous deep learning approach named "1D-CNN". In addition, the experimental data recorded from the primary visual cortex of a macaque monkey were used to evaluate the proposed method in a practical application. It was shown that the method could successfully isolate most overlapping spikes of different neurons (ranging from two to five). In summary, the CNN + LSTM method proposed in this paper is of great advantage for overlapping spike sorting with high accuracy. It lays the foundation for application in more challenging works, such as distinguishing the simultaneous recordings of multichannel neuronal activities.

Covalent immobilization of beta2 adrenergic receptor through trans-methylation reaction by SNAP-tag and its application in anti-asthmatic compound screening from Raphani Semen. Beta2-adrenergic receptor (β2-AR) is believed as an attractive target for anti-asthmatic drugs. Its crystal structure and pharmacological activity have been clearly investigated. Yet the number of the approved anti-asthmatic drugs has declined in recent years. This work reports on the preparation of an immobilized β2-AR column through the specific trans-methylation reaction between SNAP tag and the benzyl-guanine derivative and application in anti-asthmatic compound screening from Raphani Semen. The characterization of the immobilized β2-AR was performed by scanning electron microscopy (SEM) and receptor-ligand interaction analysis by chromatographic methods. SEM analysis showed that the receptor has been successfully coated on the surface of PEGA amino microspheres. Binding constants of salbutamol and terbutaline calculated from frontal analysis within the temperature range of 10-30 ℃ confirmed the feasibility of the method in a thermodynamic viewpoint. Hydrogen bond was verified as the main driving force for drug-receptor interaction analysis. Sinapine was identified as the potential bioactive compound in Raphani Semen that specifically bind with β2-AR with a specific binding site of Ser 207. Taking together, the immobilized β2-AR column is promising in exploring drug-protein interaction analysis and anti-asthmatic drug screening.

Filler dimensionality effect on the performance of paraffin-based phase change materials. Phase change materials have the potential for use in high-density thermal energy storage. However, their low thermal conductivity and the need for shape stabilization restrict their performances and implementation in various fields. The inclusion of thermally conductive nanomaterial as a single or hybrid filling is expected to form 3D network that enhances the thermal performances of phase change materials. The encapsulation of the colloidal composites in a polymer matrix stabilizes the phase change material. A paraffin matrix was loaded with carbon-based fillers of various dimensionalities, namely, 1D-carbon nanotubes, 2D-graphene nanoplatelets, and 3D-graphite flakes. The thermal conductivity of the colloidal composite was measured by transient plane source and the latent heat capacity by differential scanning calorimetry techniques. Modeling the thermal conductivity by the effective medium approach predicts the experimental results. The thermal conductivity of the phase change material loaded with fillers is enhanced from 0.2 to 11 W (m K)-1 (×55) compared with a filler-free paraffin matrix. We attribute this enhancement to the synergetic effect of the hybrid fillers (8 vol% graphite flakes and 12 vol% graphene nanoplatelets) and consequent compression (25 bar) of the colloidal composite. Moreover, the obtained phase change material is completely stable during charging and discharging cycles.

Facile preparation of indocyanine green and tiny gold nanoclusters co-loaded nanocapsules for targeted synergistic sono-/photo-therapy. Photothermal therapy (PTT) and sono-photodynamic therapy (SPDT) are fast growing local treatment modalities with minimal invasiveness and high safety. Gold nanoparticles and indocyanine green (ICG) have been used as sensitizers for PTT and SPDT. However, long resident time of gold nanoparticles in tissues and fast elimination of ICG hampered their further clinical applications. Herein, we developed nanocapsules formed by hyaluronic acid and chitosan loading with ICG and tiny gold nanoclusters (TAuNCs) to overcome the shortcomings of gold nanoparticles and ICG for combined PTT and SPDT. The nanocapsules exhibited good biological stability, favorable photothermal effects, and ultrasound/near-infrared light (NIR)-responsive release behaviors. The hyaluronic acid could mediate the specific delivery of cargos to CD44 protein over-expressing cancer cells. The in vitro and in vivo results showed that TAuNCs and ICG could act synergistically to obtain satisfactory anticancer effects under NIR laser and/or ultrasound exposure induced by thermal ablation and reactive oxygen species (ROS) generation. Biodistribution and excretion studies showed that the nanocapsules had longer ICG retention time in tumor and most of the TAuNCs could be effectively excreted from the body within one month. This study thus provides a facile strategy for the development of a safe and high-performance nanoplatform for synergistic PTT/SPDT.

Optical tweezer platform for the characterization of pH-triggered colloidal transformations in the oleic acid/water system. Soft colloidal particles that respond to their environment have innovative potential for many fields ranging from food and health to biotechnology and oil recovery. The in situ characterisation of colloidal transformations that triggers the functional response remain a challenge. This study demonstrates the combination of an optical micromanipulation platform, polarized optical video microscopy and microfluidics in a comprehensive approach for the analysis of pH-driven structural transformations in emulsions. The new platform, together with synchrotron small angle X-ray scattering, was then applied to research the food-relevant, pH-responsive, oleic acid in water system. The experiments demonstrate structural transformations in individual oleic acid particles from micron-sized onion-type multilamellar oleic acid vesicles at pH 8.6, to nanostructured emulsions at pH < 8.0, and eventually oil droplets at pH < 6.5. The smooth particle-water interface of the onion-type vesicles at pH 8.6 was transformed into a rough particle surface at pH below 7.5. The pH-triggered changes of the interfacial tension at the droplet-water interface together with mass transport owing to structural transformations induced a self-propelled motion of the particle. The results of this study contribute to the fundamental understanding of the structure-property relationship in pH-responsive emulsions for nutrient and drug delivery applications.

Cobalt phosphide nanoparticles encapsulated in manganese, nitrogen co-doped porous carbon nanosheets with rich nanoholes for high-efficiency oxygen reduction reaction. It is a challenging task to research oxygen reduction electrocatalysts with cost-effectiveness, high-performance and ultra-stability to replace traditional noble metal catalysts in renewable energy conversion/storage devices. Herein, cobalt phosphide (Co2P) nanoparticles encapsulated in Mn, N co-doped porous carbon nanosheets with abundant nanoholes (Co2P/Mn,N-PCNS) were prepared by a alizarin complexone coordination regulated pyrolysis at 800 °C. In the controlled experiments, the pyrolysis temperature and metal types were investigated in details. The resultant catalyst exhibited rapid mass/charge transfer and superior oxygen reduction reaction (ORR) performance (Eonset = 0.96 V; E1/2 = 0.86 V vs RHE), surpassing commercial Pt/C. This work presents some constructive guidelines for synthesis of appealing ORR electrocatalysts in renewable energy technology.

Ultra-dispersed copper nanoparticles constructing crystalline-amorphous interface sites for alkaline water splitting. In literature, the creation of an interface between a highly conductive crystalline phase and an amorphous phase with unsaturated sites has been proven to be an effective strategy in the design of electrocatalysts for oxygen evolution reaction (OER) and hydrogen evolution reaction (HER). However, the procedural complexity and limited formation of interfaces have compromised the envisioned effects. In this work, the dense crystalline Fe2O3/amorphous Cu interface was created simultaneously by the combination of solverthermal and annealing processes. The results showed that the ultra-dispersed Cu nanoparticles attributed to the formation of crystalline-amorphous (c-a) interface sites, which facilitated the electron transfer with the tuned electronic structures as well as the favorable adsorption of surface oxygen species. As a result, the developed Fe2O3/Cu-PNC catalyst outperformed most of the competing bifunctional catalysts reported for both OER and HER operations.

Synergetic effect of bismuth vanadate over copolymerized carbon nitride composites for highly efficient photocatalytic H2 and O2 generation. The development of copolymerized carbon nitride (CN)-based photocatalysts may support advances in photocatalytic overall water splitting. However, the recombination of charge carriers is the main bottleneck that reduces its overall photocatalytic activity. To overcome this problem, the construction of heterojunction technology has emerged as an effective approach to reduce the charge carrier recombination, thereby improving charge separation and transport efficiency. In this work, an innovative heterojunction was prepared between Quinolinic acid (QA) modified CN (CN-QAx) and novel nanorod-shaped bismuth vanadate (BiVO4) (BiVO4/CN-QAx) for overall water splitting through a simple in-situ solvent evaporation technique. The obtained results show that the synthesized samples have efficient and improved activities for releasing H2 (862.1 μmol/h) and O2 (31.58 μmol/h) under visible light irradiation. Furthermore, an exceptional apparent quantum yield (AQY) of 64.52 % has been recorded for BiVO4/CN-QA7.0 at 420 nm, which might be due to the substantial isolation of photoinducedcharge carriers. Therefore, this work opens up a new channel toward efficient CN-based photocatalysts in the sustainable energy production processes.

Molecular structure-tuned stability and switchability of CO2-responsive oil-in-water emulsions. Pseudo-Gemini surfactants (PGS) possessing switchable and recyclable features have drawn increasing attention on generating high-performance CO2-responsive emulsions for wide range and versatile applications. However, there is a lack of fundamental understanding on how the molecular structure of PGS affects the stability and switchability of emulsions. We hypothesize that the length and type of the spacer in PGS play a decisive role in controlling interfacial and switching properties. Two series of PGS with different spacers were prepared through electrostatic association between amines and oleic acid. The interfacial activity and CO2-responsive properties of corresponding emulsions were systematically investigated by well-designed experiments and molecular dynamics simulations. Increasing the spacer length to allow the bent configuration leads to more tight arrangement of oleic molecules, consequently improving the interfacial activity. In addition, the introduction of amino group into the spacer dramatically promotes CO2 response of resulting PGS due to ehanced migration of the spacer from the interface to the aqueous phase after CO2 addition. These results are inspiring in designing controllable CO2-responsive emulsions for a wide range of industrial applications (e.g., enhanced oil recovery and oil-contaminated soil remediation).

Exogenous uniconazole enhances tolerance to chilling stress in mung beans (Vigna radiata L.) through cross talk among photosynthesis, antioxidant system, sucrose metabolism, and hormones. To monitor the role of exogenous uniconazole in mitigating chilling stress, this study investigated the effect of foliar spraying of 50 mg L-1 uniconazole on the chilling (15 °C) tolerance of mung beans at the flowering stage. The results showed that uniconazole significantly enhanced the reactive oxygen species (ROS) scavenging ability of mung beans by increasing the superoxide dismutase (SOD), peroxidase (POD), ascorbate peroxidase (APX), glutathione reductase (GR) activities, the contents of ascorbic acid (AsA) and glutathione (GSH), and the transcription levels of SOD and POD under chilling stress. The uniconazole applications also drastically increased the net photosynthetic rate (Pn), maximum net photosynthetic rate (Pnmax), maximum quantum yield of PSII (Fv/Fm), and the expression levels of the corresponding photosynthetic genes PsbO, PsbP, PsbQ, PsbY, and Psb28. This, in turn, resulted in a higher sucrose content. Meanwhile, uniconazole increased the indole-3-acetic acid (IAA) content but reduced the gibberellin A3 (GA3) content under chilling stress. During the recovery period, the photosynthetic parameters and ROS of plants receiving uniconazole recovered faster, and the antioxidant activity and non-antioxidant contents were higher than in chilling-treated plants. Additionally, chilling stress markedly reduced the pod number per plant, grain number per plant, and 100-seed weight, whereas uniconazole significantly increased the grain weight per plant by 53.47% compared to the chilling treatment. These results strongly suggest that uniconazole can effectively protect mung beans from chilling stress damage by protecting the photosynthetic machinery and enhancing the antioxidant capacity to quench excessive ROS caused by chilling stress. These effects are closely relevant to chilling tolerance enhancement and yield improvement in mung beans.

Refeeding ewes ad libitum after a moderate energy restriction during mid gestation did not affect the onset of breeding and ovulating rate of female offspring. Sub-nutrition during pregnancy might affect the offspring´s reproductive performance through effects on the development and function of gonads. This study evaluated a maternal energy restriction in ewes from day 48-106 of gestation, on pre- and post-weaning female lambs` performance, onset of female lambs' breeding and ovulation rate during their first breeding season. Adult Polwarth ewes sired by Finnish rams bearing single or twin lambs were assigned to two dietary treatments from day 48 to day 106 of gestation: restricted (R; n = 60) at 60 % of their metabolizable energy (ME) requirements, or non-restricted (NR; n = 54) at 100 % of their ME requirements. After the restriction period, ewes grazed all together ad libitum until weaning. The ewe lambs were evaluated from birth to weaning, as well as during their first breeding season. Although NR ewes weighed 17.7 % more than R ewes (P < 0.05) at the end of the restriction period, the nutritional treatment of the dams had no effect on the weight of the ewe lambs at birth, weaning or final weight (P > 0.05). Fat depth, rib eye area, the percentage of ewe-lambs cycling and their ovulation rate during the first breeding season was not affected by the ewe´s dietary treatment. Ewes restricted at 60 % of their ME requirements in mid-gestation seemed to have the capacity to compensate any detrimental effects on growth and development as well as the reproductive potential of female lambs if adequate refeeding conditions are provided in late gestation, throughout lactation and post-weaning.

Foliar application of ethephon induces bud dormancy and affects gene expression of dormancy- and flowering-related genes in 'Mauritius' litchi (Litchi chinensis Sonn.). A previous study showed that foliar application of ethephon to litchi trees with mature shoots and dormant terminal buds during autumn successfully inhibited new vegetative shoot growth prior to floral induction thereby promoting carbohydrate accumulation and flowering. However, the functional mechanisms of ethylene, the breakdown product of ethephon, in the leaves and terminal buds of litchi and its involvement in the flowering process is largely unknown. Therefore, this study aimed to investigate the phenological, physiological and molecular changes underlying ethephon application and its associations with bud dormancy and flowering in litchi. Ethephon was applied as a single full canopy spray at a concentration of 1000 mg⋅L-1 to 'Mauritius' litchi trees with mature vegetative shoots and dormant terminal buds during late autumn of 2018 (mid-April; Southern Hemisphere). Untreated trees served as a control. Phenological characteristics, such as bud dormancy and panicle development, leaf chlorophyll (as an indicator of shoot maturity), ethylene evolution, gene expression levels of flowering- (LcFT2, LcFLC and LcAP1), dormancy- (LcSVP1 and LcSVP2) and ethylene pathway-related (LcEIN3) genes and non-structural carbohydrates were determined in terminal buds, leaves and/or shoots. Ethephon application induced bud dormancy, significantly delayed panicle emergence and promoted pure floral panicle development under more favorable inductive conditions. Ethylene evolution increased sharply 2 h after application in both leaves and terminal buds, but decreased rapidly thereafter in the leaves, while remaining high in terminal buds for seven days before gradually declining. Ethephon application significantly increased relative expression of LcEIN3 and LcFLC in terminal buds one day after application, while LcFT2 expression in leaves and LcAP1 expression in terminal buds were significantly increased at the bud break stage. Significant treatments differences were also observed for various carbohydrate metabolites in leaves and shoots at the bud break or floral initiation stage. Our study provided evidence that ethephon application plays an important role in the physiological and molecular regulation of bud dormancy of litchi. By influencing the time of bud break, ethephon application can be a useful tool to manage panicle emergence under less inductive conditions.

The sensitive detection and mechanism of Fe-3,5-dimethyl pyrazole fluorescent sensor to diethylenetriamine pentamethylene phosphonic acid: Experimental study and quantum chemical calculation. Diethylenetriamine pentamethylene phosphonic acid (DTPMP) is one of the most commonly used amino organic phosphonates. The existing methods for DTPMP detection are complicated, time-consuming, and cannot detect trace DTPMP in the natural environment. In the present work, the Fe-based 3,5-dimethyl pyrazole fluorescent sensor (Fe-DP) was constructed. The addition of Fe3+ to DP solution can greatly decrease the fluorescent intensity of DP, while the addition of different concentrations of DTPMP will restore the fluorescence intensity of DP to different degrees, to achieve quantitative detection of DTPMP, and the detection limit (LOD) of DTPMP was lower as 0.105 μΜ. The Fe-DP fluorescent sensor exhibited excellent anti-interference ability and good stability. Moreover, the fluorescence quenching mechanism of DP by Fe3+ was revealed by UV absorption spectrum and Multiwfn wavefunction analysis based on density function theory (DFT). The results revealed that the excitation of DP belonged to local excitation, in which the electrons were donated primarily by the N atom with double bond and redistributed within the pyrazole ring.The fluorescence quenching of adding Fe3+ was not caused by resonance energy transfer or charge transfer, which did not belong to dynamic quenching, but due to the ground state complex formed by the coordination of Fe3+ and the double bond N atom on the DP pyrazole ring.

Spectrofluorimetric and stability-indicating thin layer chromatographic methods for determination of cabergoline, a prolactin inhibitor in pharmaceuticals. Simple, Economic, and selective spectrofluorimetric and stability-indicating thin layer chromatographic (TLC) with fluorescence detection methods were developed for the determination of Cabergoline, a potent prolactin inhibitor, and long-acting dopamine receptor agonist, in bulk drug and pharmaceutical dosage forms based on its native fluorescence. Method A was based on measuring the fluorescence intensity at 338 nm after excitation at 280 nm. The measured fluorescence was directly proportional to the concentration of the drug over the range of 50.0-450.0 ng/mL with a limit of detection of 14.4 and a limit of quantification of 43.7 ng/mL. The TLC method (method B) was employed on TLC silica gel 60 F254 aluminum sheets previously exposed to concentrated (30-34 %) hydrochloric acid vapor. Ethyl acetate: n-hexane: diethylamine system with a ratio of (10: 3: 1, v/v/v) developing system was used. The retention factor (Rf) of Cabergoline was 0.58 ± 0.03. Linearity was found to be in the range of 100.0-1500.0 ng/band. The LOD and LOQ were 25.4 and 76.9 ng/band, respectively. The methods were validated successfully according to ICH guidelines.

Tracking HOCl by an incredibly simple fluorescent probe with AIE plus ESIPT in vitro and in vivo. Hypochlorous acid is an important active substance involved in a variety of physiological processes in living organisms, while abnormal concentrations of HOCl are strongly associated with a variety of diseases such as cancer, inflammation, atherosclerosis, and Alzheimer's disease. As a result, it's crucial to establish a reliable method for tracking HOCl in vivo in order to investigate its physiological consequences. In this work, we developed a fluorescent probe DFSN with both AIE and ESIPT for imaging HOCl in vivo. DFSN not only has a basic structure and is easy to synthesize, but also has superior performance. The probe responds to HOCl in less than 10 s and has good selectivity and sensitivity to HOCl (DL = 6.3 nM), with a 110-fold increase in fluorescence intensity following response. In addition, DFSN can realize the rapid detection of hypochlorous acid with naked eyes. Moreover, DFSN can be used for the detection of exogenous and endogenous HOCl in RAW264.7 cells, and additionally enables the tracking of HOCl in cancer cells (Hela cells and HepG2 cells). More notably, it has been utilized to image hypochlorous acid in zebrafish with great success. The probe DFSN will be useful in determining the physiological significance of HOCl.

Preparation of oxime compound lipid droplet-specifically labeled fluorescent probe and its application in cell imaging. Fluorescent probes can facilitate our further comprehension of the functional and physiological roles of LDs and thus promote the development of effective therapeutic approaches. Oxime compounds are widely used due to their good crystallinity and high reactivity. However, the majority oximes fluorescent probes are usually employed for the detection of HCIO, and the application of oximes in fluorescently labeled LDS is poorly reported. In this paper, three kinds of LDs fluorescent probes (NAP-a, NAP-b and NAP-c) with D-π-A structure were synthesized by simple synthesis method with 1,8-naphthalimide as fluorescent matrix and oxime group as electron donor. These probes were highly sensitive to polarity, and possessed good photostability and low cytotoxicity. Co-staining experiments showed that these probes could target LDs and the fluorescence image was green. These probes NAP-a, NAP-b and NAP-c possessed high Pearson coefficient (HeLa cells: 0.91, 0.95, 0.86) and Manders coefficient (HeLa cells: 0.91, 0.96, 0.86) with Nile Red. Interestingly, the dynamic variations in their size, shape and distribution could be clearly observed in the oleic acid-treated cell model of LDs. Imaging of zebrafish was performed and green fluorescence was collected in zebrafish. These excellent properties make oxime compound fluorescent probes a promising fluorescent probes for studying LDs and metabolic diseases. This study opens up a new way for the preparation of LDs fluorescent probe.

A quinoline-rhodamine hybrid probe for ratiometricly sensing of Hg2+ in water and cell imaging application. To develop efficient tools for monitoring toxicant Hg2+ in aqueous solution attracts great attention because the abnormal distribution of Hg2+ in environment poses great threat to human health. We here report the preparation of a novel quinoline-rhodamine hybrid fluorescent probe P7RHg for ratiometricly sensing of Hg2+ in water, with a spirolactam-thiosemicarbazide reaction group. Upon treatment by Hg2+, the ratio of fluorescence intensity (F600/F460) exhibits nearly 90-fold enhancement, presenting two well-resolved emission peaks (140 nm). Meanwhile, the specific Hg2+-induced desulfurization provides probe P7RHg an excellent selectivity to Hg2+, with a detection limit of 8.6 nM. Moreover, the low cytotoxicity allows P7RHg to be employed for tracing Hg2+ in living cells by confocal fluorescence imaging.

Binding parameters and molecular dynamics of Trypsin-Acid Yellow 17 complexation as a function of concentration. Acid Yellow 17 is a kind of azo dye used in food, textile, and cosmetics. Several studies explain the toxicity of azo dye for our body, but one could not find further information about the effects of these dyes on human macromolecules. In the current study, the interaction of AY17 with trypsin is investigated using several techniques. The UV analysis displayed that the absorption of trypsin could be decreased in the presence of this color. The fluorescence investigation indicated that a static form of quenching happens, and a 50% decrease in the fluorescence intensity, also showed the Vander Waals and hydrogen bond are the main forces in the interaction of this color and trypsin. Furthermore, we can observe that the Tm point of trypsin decreases from 46.5 to 42. On the other hand, the CD results were indicated that the interaction of this color with trypsin could decrease the percent of turn, coil and α-helix in trypsin structure. The computational study was undertaken to obtain more information about the interaction between trypsin and AY17. The results were in agreement with the experimental investigation and indicated that the interaction between this color and trypsin leads to less compactness in the trypsin structure.

High expression of serum GST-π/CypA aids the diagnosis of acute cerebral infarction and predicts short-term poor prognosis. The study examined the diagnostic and prognostic value of GST-π combined with CypA in acute cerebral infarction (ACI). The study included 115 ACI patients and 85 healthy people. Expression patterns of serum GST-π and CypA were detected using ELISA. The diagnostic efficiency of GST-π, CypA, and GST-π combined with CypA on ACI was assessed by ROC curves. Pathological parameters were further analyzed using the Fisher test, t test, and one-way ANOVA. ACI patients were subsequently assigned into severe, moderate, and mild groups under the National Institutes of Health Stroke Scale (NIHSS), followed by Pearson analysis of the correlation between GST-π and CypA and NIHSS scores. The prognosis was evaluated by follow-up using modified Rankin Scale. Correlation between GST-π/CypA expression and ACI prognosis was predicted using a survival curve, and the predictive value of GST-π/CypA on ACI prognosis was assessed with a ROC curve. Lastly, the independent correlation of GST-π and CypA with poor ACI prognosis was analyzed with Logistics multivariate regression analysis. GST-π and CypA were both highly-expressed in ACI patients. GST-π combined with CypA could better aid ACI diagnosis. Expressions of GST-π and CypA were positively correlated with NIHSS scores of ACI patients. High expressions of GST-π and CypA were correlated with poor short-term prognosis of ACI patients. Serum GST-π combined with CypA aids diagnosis and predicts poor short-term prognoses of ACI. The data that support the findings of this study are available from the corresponding author upon reasonable request.

Apparent diffusion coefficient histogram analysis to preoperative evaluate intracranial solitary fibrous tumor: Relationship to Ki-67 proliferation index. To explore the value of apparent diffusion coefficient (ADC) histogram analysis in preoperative evaluating intracranial solitary fibrous tumor (SFT) and further investigate the relationship between ADC histogram parameters and the Ki-67 proliferation index. From January 2014 to March 2022, 37 patients with intracranial SFT (grade 2, n = 20; grade 3, n = 17) who underwent preoperative diffusion-weighted imaging were enrolled in this study. For each tumor, nine histogram parameters were automatically extracted and selected using MaZda software based on the axial ADC maps of the whole tumor, including mean, variance, skewness, kurtosis, as well as the 1st, 10th, 50th, 90th, and 99th percentile ADC (Perc.01, Perc.10, Perc.50, Perc.90, Perc.99). Differences in ADC histogram parameters between grade 2 and 3 intracranial SFT were compared. Receiver operating characteristic (ROC) curves were drawn to determine the diagnostic performance, and Pearson's correlation coefficient was used to investigate the relationship between these parameters and the Ki-67 proliferation index. The mean, Perc.01, Perc.10, Perc.50, Perc.90, and Perc.99 were significantly lower in grade 3 than in grade 2 intracranial SFT (all P &lt; 0.05). ROC analysis showed that these parameters can effectively distinguish between the two groups, with Perc.01 generating the best differentiation performance. Significant negative correlations were also observed between these parameters and the Ki-67 proliferation index (r = -0.436 ~ -0.522, all P &lt; 0.05). However, there was no significant difference in variance, skewness, or kurtosis between the two groups (all P &gt; 0.05). ADC histogram analysis enables effective preoperative distinction of grade 2 and grade 3 intracranial SFT.

A review on synthesis, modification method, and challenges of light-driven H2 evolution using g-C3N4-based photocatalyst. The energy scarcity is exacerbating and needs an urgent solution. The most plausible solution to address the forthcoming energy scarcity is to diversify the energy sources. Developing the water-splitting process (WSP) efficiency depends on solar energy representing "21st-century dream technology". We present a comprehensive review of related papers employing graphitic carbon nitride (g-C3N4) as pure, doped, or composite nanostructure in the evolution of hydrogen from water dissociation under simulated sunlight irradiation, mainly in the last ten years. Herein, after a concise introduction to the main principle of the water-splitting process, the methods to synthesize, modify and upgrade the photocatalytic performance of g-C3N4 were reviewed in detail. Moreover, the main challenges of using g-C3N4-based photocatalytic material in WSP have been mentioned. The report mainly targets the g-C3N4 character, synthesis method, photocatalytic activity, and strategies toward enhancing photoreactivity under visible light, along with the reusability of the fabricated nanohybrid catalysts. Above and over, this review suggests the potential of g-C3N4 to produce green H2 from water at a competitive price, which can contribute to satisfying the global energy sector demand and suppressing global warming.

Perspectives in the stability of emulsion explosive. This review explores the stability of emulsion explosive, through summarizing its instability reason, stability mechanism, affecting factors, improvement ways and evaluation methods. The emulsion explosive can be recognized as highly concentrated emulsion due to the volume fraction of dispersed phase exceed 74%. The polydispersity, deformation of compassed droplets and the high content of AN in dispersed phase should be considered for the stability of emulsion explosive. The coalescence is one of the important factor for the instability of emulsion explosive as the droplets bound to each other tightly, together with that, the crystallization of AN in dispersed droplets will occur. This process will further decrease the stability of emulsion explosive. Interfacial tension, the strength of interfacial film and electrical properties of droplets are the important mechanism for preparation and stability of emulsion explosive, among the three, the effect of the strength of interfacial film is most important, and the greater the strength of the interfacial film, the more stable the emulsion explosive. The stability of emulsion explosive will be affected by the emulsifier's structure, the viscosity and polarity of oil, the crystallization point of AN and the nature of matrix, in which, it is important to pay attention to the influence of emulsifier structure because adjusting emulsifier structure is a key channel to improve the stability of emulsion explosive. Besides that, the targeted methods to improve the stability of different emulsion explosive, such as bulk emulsion explosive, packaged emulsion explosive and powdery emulsion explosive, were concluded and established. Finally, we proposed some effective methods for evaluating and predicting stability of emulsion explosive. These results will facilitate the further development of the researches in the mechanism and improvement approach of stability, as well as it will also provide effective technical support for exploring the stability of other similar highly concentrated emulsions.

Characterization of molecule clustering and liquid transport at nearly ideal solid surfaces. Vapor adsorption, mobility, two-dimensional (monolayer formation) and three-dimensional (multilayer formation) clustering is evaluated. Two-dimensional vapor diffusion is compared to results obtained from molecular kinetic (MK) model fits. Three-dimensional clustering results in condensation of multimolecular vapor layers to thin films. Thin films are characte-rized by line tension and liquid spreading by hydrodynamic (HD) models. Although it is experimentally shown that steady-state wetting ranges are intersected by a chaotic slip-stick range, MK and HD models are combined to molecular hydrodynamic (MH) models with the aim to cover this slip-stick range. The results of MK, HD and MH model fits are, however rather poor (unphysical results). Thin film (α-phase) models are compared to thick film (β-phase) models. In order to improve model designs, established phenomenological relation-ships known from irreversible thermodynamics are presented. Forced wetting, expressed as generalized fluxes can be made dependent on multiple generalized conjugate forces which enables identification of dominant interactions to be introduced in future improved transport models.

Molecular diversity and assemblages of coral symbionts (Symbiodiniaceae) in diverse scleractinian coral species. The scleractinian coral-associated symbiotic algae Symbiodiniaceae plays an important role in bleaching tolerance and coral resilience. In this study, coral-associated Symbiodiniaceae communities of 14 reef sites of Perhentian and Redang Islands Marine Parks (Malaysia, South China Sea) were characterized using the high-throughput next-generation amplicon sequencing on the ITS2 rDNA marker to inventory the Symbiodiniaceae diversity from a healthy tropical reef system and to generate a baseline for future studies. A total of 64 coral-Symbiodiniaceae associations were characterized in 18 genera (10 families) of scleractinian corals using the SymPortal analytical framework. The results revealed the predominance of Symbiodiniaceae genera Cladocopium (average 82%) and Durusdinium (18%), while Symbiodinium, Breviolum, Fugacium, and Gerakladium were found as minor groups (<0.01%). Of the 39 Cladocopium and Durusdinium major ITS2 sequences, 14 were considered dominant/sub-dominant, with C3u as the predominant type (63.3%), followed by D1 (15%), C27 (10.1%), and C15 (6.9%). A total of 19 and 13 Cladocopium and Durusdinium ITS2-type profiles were detected across the coral species, respectively. Symbiodiniaceae diversity and richness recorded in this study were higher when compared to other reefs in the proximity. With the increasing coral-Symbiodiniaceae associations archived, the database would provide a baseline to assess the changes of Symbiodiniaceae communities in the coral hosts and to explore the potential adaptive roles of this coral-algal association.

Simulated megaherbivore grazing as a driver of seagrass flowering. Seagrass meadows are an important habitat for Testudines (sea turtles) and Sirenia (dugong and manatee) megaherbivores. Megaherbivores can influence the structuring of seagrass meadows; for example, foraging patterns have been found to relate to seagrass phenological strategy. However, as these observations are derived from uncontrolled field studies, it is unclear whether grazing drives such changes or if the changes are related to other factors (e.g., temperature, tidal depth, light). In the present study, a mesocosm experiment was designed to test the impacts of grazing on metrics of flowering of Zostera muelleri over two consecutive flowering seasons. Prior to each flowering season, plants were cropped to 3 cm and 1 cm lengths to represent turtle and dugong grazing, respectively. This study measured the timing of flowering, the number of flowering shoots, the height of the flowering shoot, and the number of spathes (sheathing bracts containing seeds) per flowering shoot in each replicate (n = 5) weekly. Cropping had no significant influence on the timing of flowering (i.e., number of days to first and peak flowering) indicating that it is not a trigger for flowering. However, cropping significantly reduced the maximum density of flowering shoots and spathes, which was proposed to be due to resource allocation differences between clonal growth and flower production. A reduction in the flowering ratio was observed in both cropped plant groups and the relatively high density and the ratio of flowering observed in the 1 cm group indicate that the plant was adapting to cope with stress. Morphology of flowering (i.e., the maximum height of flowering shoot and the maximum number of spathes per flowering shoot) was not significantly affected by cropping and these two variables were strongly correlated. The results suggest that cropping can influence the overall flowering densities in a season but not the timing of flowering. This study demonstrated that cropping prior to the flowering season can reduce the expected production of spathes in seed nurseries and suggests it may be beneficial to consider megaherbivores in seed-based restoration activities.

Impact of NAFLD and its pharmacotherapy on lipid profile and CVD. Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death worldwide. Increasing evidence suggests that, in addition to traditional metabolic risk factors such as obesity, hypercholesterolemia, hypertension, diabetes mellitus, and insulin resistance (IR), nonalcoholic fatty liver disease (NAFLD) is an emerging driver of ASCVD via multiple mechanisms, mainly by disrupting lipid metabolism. The lack of pharmaceutical treatment has spurred substantial investment in the research and development of NAFLD drugs. However, many reagents with promising therapeutic potential for NAFLD also have considerable impacts on the circulating lipid profile. In this review, we first summarize the mechanisms linking lipid dysregulation in NAFLD to the progression of ASCVD. Importantly, we highlight the potential risks of/benefits to ASCVD conferred by NAFLD pharmaceutical treatments and discuss potential strategies and next-generation drugs for treating NAFLD without the unwanted side effects.

Anti-atopic dermatitis effect of a modified Huang-Lian-Jie-Du decoction and its active fraction on 2,4-dinitrobenzene and MC903-induced mouse models. Huang-Lian-Jie-Du Decoction is a traditional Chinese medicine formula which has long been used to treat inflammatory skin disease including AD. However, Gardeniae Fructus, a component herb of HLJDD, has noticeable toxicity in liver and kidney. We therefore replaced Gardeniae Fructus with Dictamni Cortex with a hope to derive at a modified HLJDD (MHLJDD) with better safety profile. The present study aimed to develop MHLJDD and identify its active fraction as innovative therapeutic agents for AD using 2,4-dinitrobenzene (DNCB) and calcipotriol (MC903)-sensitized mouse models of AD. MHLJDD and the combination of the 1-butanol-soluble-fraction and the water-soluble-fraction (MHLJDD-F) were given intragastrically to the DNCB-induced mice and MC903-induced mice for two weeks. The body weight, dorsal skin/ear thickness and severity of AD symptoms of the mice were measured throughout the study. Scratching behaviors were observed after drug treatment. The blood and dorsal skin/ear tissues of mice were harvested for histopathological examination and biochemical analyses. The results revealed that DNCB- and MC903-induced AD symptoms, including skin thickening, dryness, erythema and excoriations, in the dorsal skin and ears were significantly alleviated in the MHLJDD and MHLJDD-F-treated mice. Ceramides content and protein expressions of filaggrin and loricrin were also up-regulated after treatment with MHLJDD and MHLJDD-F. In addition, skin inflammation induced by DNCB and MC903 were markedly suppressed in the MHLJDD and MHLJDD-F-treated mice, and the action mechanisms involve suppression of the release of inflammatory cytokines, as well as downregulation of the activation of NF-κB and MAPKs pathways. Besides, MHLJDD and MHLJDD-F could reverse the abundance of gut microbiota induced by DNCB in mice. MHLJDD and MHLJDD-F could markedly relieve AD-like symptoms induced by DNCB and MC903 in mice through, at least in part, improving the epidermal barrier function and inhibiting skin inflammation via suppressing the activation of NF-κB and MAPKs pathways and regulation of the gut microflora dysbiosis. This study reported for the first time that MHLJDD and its active fraction could be used as innovative therapeutic agents for AD.

Combined sediment grain size and silici-clastic element ratios represent the provenance signal - A reply to the comment of T. Matys Grygar (2022) on Ballasus et al. (2022). In our original study, we used sediment element contents, a standardized mesoscale grid approach and a geochemical-statistical fingerprinting mixing model to reconstruct Holocene hydrosedimentary processes in the catchment of the Weiße Elster River in Central Germany. Tomas Matys Grygar pointed out in his constructive comment on our study that sediment element contents result from the interplay of sediment provenance, weathering processes and grain-size effects. We should note that we did not use the geochemical-statistical fingerprinting mixing model as a black box, choosing to rely instead on extensive geomorphological, lithological and geochemical preliminary work and findings, which we would like to take up again in this correspondence. For further validation of our original findings, we have carried out new grain-size-specific analyses of element ratios from Weiße Elster overbank silt-clay deposition (German: Auelehm) and new grain-size analyses of floodplain deposits from Weiße Elster tributaries. These new data are discussed and are made available in the supplementary online material.

The impact of hormonal dynamics and serum sodium fluctuations on symptomatic vasospasm after subarachnoid hemorrhage. Symptomatic vasospasm (SVS) is a major cause of morbidity and mortality in aneurysmal subarachnoid hemorrhage (SAH), and serum sodium frequently decreases before SVS. Serum sodium changes might be regulated by sodium metabolism-related hormones. This multi-institutional prospective cohort study therefore investigated the measurement of sodium metabolism-related hormones to elucidate the pathophysiology of serum sodium changes in SAH. SAH patients were treated with clipping or coiling from September 2017 to August 2020 at five hospitals. The laboratory data of 133 SAH patients were collected over 14 days and correlations between changes in serum sodium, sodium metabolism-related hormones (plasma adrenocorticotropic hormone (ACTH), serum cortisol, plasma arginine vasopressin (AVP)), and SVS were determined. Serum sodium concentrations were measured every day and serum sodium levels >135 mEq/L were maintained until day 14. Of the 133 patients, 18 developed SVS within 14 days of subarachnoid hemorrhage onset (SVS group) and 115 did not suffer from SVS (non-SVS group). Circulating AVP, ACTH, and cortisol concentrations were significantly higher on day 1 in the SVS group compared with the non-SVS group. Fluctuations in serum sodium in the SVS group were significantly higher than those in the non-SVS group. There were antiparallel fluctuations in serum sodium and potassium from days 2 to 14. Elevated levels of ACTH/cortisol and AVP on day 1 may be predictive markers for the occurrence of SVS. Multiple logistic regression analysis showed that serum sodium fluctuations were associated with SVS occurrence. Serum sodium fluctuations were associated with stress-related hormonal dynamics. (249 words).

Effect of transcranial direct-current stimulation on executive function and resting EEG after stroke: A pilot randomized controlled study. The effects of transcranial direct current stimulation (tDCS) on post-stroke executive impairment (PSEI) remain controversial. Resting stateelectroencephalogram (EEG) can assist in the diagnosis and assessment of executive dysfunction. We aimed to use EEG to explore the effect of tDCS on executive function among stroke patients. Twenty-four patients with PSEI were randomly divided into experimental and control groups, which received real and sham stimulation, respectively. Anodal electrical stimulation was applied to the left dorsolateral prefrontal lobe (F3). The stimulation intensity was 2 mA for 20 min once daily for 7 days. Executive function was monitored using neuropsychological scales. The experimental group outperformed the control group in clinical scale results, with significant differences in the following scores: symbol digital modalities test, TMT-A, TMT-B, and digital span test. In the left central zone, theta band power was significantly higher after anodal electrical stimulation than before. Analysis of the correlation between EEG power and psychometric scores revealed that the power change was positively correlated with the scores on the symbol digital modality test (r = 0.435, p < 0.05). Anodal tDCS can enhance executive function in patients with PSEI, and tDCS-related improvements are related to the enhancement of theta power in the affected region.

Visible LED photocatalysis combined with ultrafiltration driven by metal-free oxygen-doped graphitic carbon nitride for sulfamethazine degradation. A novel visible light emitting diode (LED) photocatalysis combined ultrafiltration (UF) system driven by metal-free O-doped C3N4 was established for sulfamethazine (SMZ) removal in environmental remediation. Among different O-doping ratios, 8%O-C3N4 exhibited the optimal SMZ degradation efficiency (89.36%) and the flux of 8%O-C3N4/LED/UF system could reach up to 38.92 L/m2/h. Benefitting from the O-doping, the synergetic effect of the expansion of visible-light absorption, enhancement of electron redox capacity, and improvement of e--h+ separation efficiency could produce the intensified photoactivity. Superoxide radical (O2•-) and single oxygen (1O2) were proved to be the primary active species by EPR and quenching tests. Moreover, the influence of several parameters such as photocatalyst dosage, SMZ concentration, raw turbidity and humic acid concentration in 8%O-C3N4/LED/UF system on SMZ removal were systematically studied. Under simulated surface water matrix, 8%O-C3N4/LED/UF system could also remove 96.88% SMZ and stable membrane flux stabilized as high as 33.36 L/m2/h. This study makes a demonstration for applying highly-effective powdery photocatalysts in the actual wastewater treatment and designing future photocatalytic reactors.

The characterization and influence factors of semi-volatile compounds from mechanically recycled polyethylene terephthalate (rPET) by combining GC×GC-TOFMS and chemometrics. A non-targeted method was developed for screening the semi-volatile compounds of different mechanically recycled PET intended for food contact materials. The data was further analyzed by multiple chemometrics methods to obtain the difference level, and the potential influence factors were investigated. The results showed that total dissolution with comprehensive two-dimensional gas chromatography coupled with time-of-flight mass spectrometry was more effective than other reported methods. Based on the difference level, 97 compounds were characterized into 4 levels. 1-Methyl-2-pyrrolidinone originating from organic solvent was recognized as level IV and could be determined as the primary difference indicator. The contaminant is mainly attributed to the residuum derived from non-food consumer products. The specific types of contaminants and process parameters of the recycling, such as moisture content, properties of rPET, and temperature, were the potential key factors affecting the presence of semi-volatile compounds of mechanically recycled rPET.

Split aptamer remodeling-initiated target-self-service 3D-DNA walker for ultrasensitive detection of 17β-estradiol. DNA walker machines, as one of the dynamic DNA nanodevices, have attracted extensive interest in the field of analysis due to their inherent superiority. Herein, we reported a split aptamer remodeling-initiated target-self-service 3D-DNA walker for ultrasensitive, specific, and high-signal-background ratio determination of 17β-estradiol (E2) in food samples. Two split probes (STWS-a and STWS-b) were rationally designed that can undergo structural reassembled to serve as walking strands (STWS) under the induction of the target. Meanwhile, an intact E6-DNAzyme region was formed and activated at the tail of STWS. The activated E6-DNAzyme then continuously drives the 3D-DNA walker for signal amplification and specific detection of E2. Under optimal conditions, the proposed DNA walker-based biosensor exhibited excellent linearity in the range of 1 pM to 50 nM with a low limit of detection (LOD) of 0.28 pM, and good precision (2.7%) for 11 replicate determinations of 1 nM of E2. Furthermore, the developed DNA walker-based biosensor achieved excellent sensitive analysis of E2 in the complex food matrix with recoveries of 95.6-106.5%. This newly proposed split aptamer-based strategy has the advantages of ultrasensitive, high signal-to-background ratio, and high stability. Noteworthy, the successful operation of the DNA walker initiated by the split aptamer expands the principles of DNA walker design and provides a universal signal amplification platform for trace analysis.

Effect of calcium peroxide dosage on organic matter degradation, humification during sewage sludge composting and application as amendment for Cu (II)-polluted soils. In this research, it was the first time to investigate the effect of two dosages (5% (T1) and 10% (T2), w/w) of calcium peroxide (CP) on organic matter degradation, humification during sewage sludge composting. Additionally, the complexation of Cu to humic substance (HS) derived from CP-compost compared to no CP addition-compost (CK) was also studied. Results showed that compared to CK, T1 and T2 significantly enhanced organic matter degradation and promoted the formation of HS. Two-dimensional correlation Fourier transform infrared spectroscopy (2D-FTIR-COS) and Parallel factor (PARAFAC) analysis revealed that the addition of CP accelerated the synthesis of HS with high aromatization degree and molecular weight than those in CK, owing to the oxidation of small molecules to form carboxyl. The stability constant (log KM) of Cu with CP-derived HS (log KM = 4.22-5.13) indicated a greater complexation ability than CK-derived HS (log KM = 4.05-4.45), due to the faster response of polysaccharides binding to Cu (II) and the higher humification degree of CP-derived HS. This study revealed the potential mechanisms of CP addition on the synthesis of HS and utilization of CP-compost product might provide an effective way to remedy Cu (II)-contaminated soils.

Flexible and easy-handling pristine polypyrrole membranes with bayberry-like vesicle structure for enhanced Cr(VI) removal from aqueous solution. Polypyrrole has been extensively explored for Cr(VI) removal from wastewater towing to the advantages of superior performance, low cost, facile synthesis, and high environmental stability. However, the unsatisfactory adsorption capacity and complicated process of adsorbent separation from aqueous solutions remain a huge challenge, limiting its practical application. Herein, a flexible PPy membrane with bayberry-like vesicle structures (PPy-B) was prepared via template-assisted interfacial polymerization. It was found that sodium sulfosalicylate not only improved the flexibility and strength of the PPy-B membrane for easy-handling but also participated in the polymerization of PPy as a dopant to improve the specific surface area and doping level for increasing adsorption sites. Benefiting from these, the easy-handling PPy-B membrane exhibited a high adsorption capacity (586.90-682.50 mg/g at 298-318 K), a high reusability (five adsorption-desorption cycles), and a high ultimate adsorption capacity after adsorption-desorption cycles until membrane failure (1174.86 mg/g at 298 K). The proposed mechanisms of the enhanced Cr(VI) removal involve electrostatic adsorption, reduction, and ion exchange. This flexible PPy membrane therefore shows attractive advantages in wastewater treatment.

Cerium-terephthalic acid metal-organic frameworks for ratiometric fluorescence detecting and scavenging·OH from fuel combustion gas. Hydroxyl radical (•OH) in fuel combustion gas seriously damages human health. The techniques for simultaneously detecting and scavenging •OH in these gases are limited by poor thermal resistance. To meet this challenge, herein, metal organic frameworks (MOFs) with high thermal stability (80-400 °C) and dual function (•OH detection and elimination) are developed by coordinating Ce ions with terephthalic acid (TA) (Ce-BDC). Due to the reversible conversion between Ce3+ and Ce4+, and the high concentration of Ce3+ on the surface of Ce-BDC MOFs (89.6%), an •OH scavenging efficiency over 90% is realized. Ratiometric fluorescence (I440 nm/I355 nm) detection of •OH with a low detection limit of ∼4 μM is established by adopting Ce ions as an internal standard and TA as an •OH-responsive fluorophore. For real applications, the Ce-BDC MOFs demonstrate excellent •OH detection sensitivity and high •OH scavenging efficiency in gas produced from cigarettes, wood fiber and machine oil. Mouse model results show that the damage caused by •OH in cigarette smoke can be greatly reduced by Ce-BDC MOFs. This work provides a promising strategy for sensitively detecting and efficiently eliminating •OH in fuel combustion gas.

Boosting catalytic stability for VOCs removal by constructing PtCu alloy structure with superior oxygen activation behavior. The elimination of volatile organic compounds (VOCs) emitted from the process of industry production is of great significance to improve the atmospheric environment. Herein the catalytic oxidation of the toluene and iso-hexane mixture, as the typical components from furniture paint industry, and the enhancement in the catalytic stability for toluene oxidation were investigated in detail. The formation rate of active oxygen species was very important for the development of the catalyst with high catalytic stability. Compared with the Pt/M catalyst, the Pt-Cu/M catalyst owned stronger ability of VOCs adsorption and gaseous oxygen activation by introducing additional sites for activating O2. The Langmuir-Hinshelwood (adsorbed oxygen) and Mars-van Krevelen (lattice oxygen) mechanism existed in toluene oxidation over the present Pt/M and Pt-Cu/M catalysts, respectively. The change in the involved active oxygen species during toluene oxidation was resulted from the Pt-Cu alloy structure. In addition to the adsorption of O2, a part of active lattice oxygen species can also be replenished by the migration of bulk lattice oxygen over Pt-Cu/M. With a rise in the reaction temperature, weakly adsorbed iso-hexane could be timely reacted with the more active lattice oxygen species to keep the catalytic stability over the Pt/M and Pt-Cu/M catalysts. Generally, we not only prepared a promising material for the catalytic removal of VOCs from the furniture paint industry, but also provided a new strategy for the generation of active oxygen species, making the catalyst exhibit high catalytic oxidation stability.

Selective catalytic oxidation of formaldehyde on single V- and Cr-atom decorated magnetic C4N3 substrate: A first principles study. Formaldehyde (HCHO) is the most common indoor hazardous pollutant and has attracted great concern because its long-term exposure has adverse health effects on humans. Retention and catalytic oxidation of highly hazardous HCHO is an efficient and environmentally friendly method to use for air remediation, but a major obstacle to this procedure is the lack of an appropriate catalyst. Herein, two-dimensional magnetic C4N3 material with a 3d-transition metal as activate sites was systemically investigated in HCHO oxidation using density functional theory calculations. The results show that V-C4N3 and Cr-C4N3 have high structural stability and shallow activation barriers for O2 decomposition; these characteristics provide the necessary precursors for the subsequent oxidation reaction. Moreover, the V-C4N3 and Cr-C4N3 catalysts have unique selective adsorption and catalysis toward HCHO in a mixture of some typical in-door volatile organic compounds (VOCs) and air. The corresponding dynamic barrier for each reaction step was investigated and the mechanism involved in HCHO oxidation was revealed in detail. Aggregation of metal atoms in the V-C4N3 and Cr-C4N3 catalysts is prevented by enormous diffusion resistance, and this is further confirmed by AIMD simulations. These results provide insightful guidance for developing advanced magnetic catalysts for HCHO oxidation to improve the remediation of air contaminants.

Shrimp-waste based dispersant as oil spill treating agent: Biodegradation of dispersant and dispersed oil. The emerging demand for the enhancement of biodegradation of persistent organic pollutants from marine oil spills using oil-treating agents to minimize the environmental impacts promotes the development of green dispersants. Shrimp waste is a potential raw material to generate green dispersants. The biodegradability of dispersed oil and dispersants themselves are key factors for the national consideration of the approval, stockpile, and usage of dispersants. However, it is unknown whether shrimp-waste-based dispersant (SWD) has high bioavailability or facilitates the biodegradation of dispersed oil. In this study, we tackled the biodegradation of oil dispersed by a purified SWD. Furthermore, the SWD biodegradability was evaluated by exploring the degradation genes via metagenomic sequencing, analyzing the enzymatic activities for dispersant biodegradation by molecular docking, and discussing the SWD toxicity. We discovered that the SWD facilitated the biodegradation of two crude oils (Alaska North Slope and Marine Fuel-No.6). The metagenomic analysis with molecular docking showed that fresh seawater had feasible enzymes to degrade the SWD to safety components. Additionally, the SWD was low toxic and high bioactive. The findings helped confirm that the purified SWD is an effective and eco-sustainable marine oil spill treating agent and tracked the biodegradation of dispersed oil and the SWD.

Dissolved iron released from nanoscale zero-valent iron (nZVI) activates the defense system in bacterium Pseudomonas putida, leading to high tolerance to oxidative stress. Nanoscale zero-valent iron (nZVI) has increasingly been applied to remediate aquifers polluted by organochlorines or heavy metals. As a result, bacteria in the vicinity of remediate action can be stressed by surplus iron released from nZVI. However, the understanding of the iron stress defense pathways during this process is currently incomplete. Therefore, we aimed to elucidate the physiological and transcriptomic response of the bacterium, Pseudomonas putida NCTC 10936, to 100 mg/L of nZVI and 44.5 µg/L of dissolved iron obtained from nZVI suspension. Cell viability was neither affected by nZVI nor dissolved iron, although the dissolved iron caused stress that altered the cell physiology and caused the generation of smaller cells, whereas cells were elongated in the presence of nZVI. Transcriptomic analysis confirmed the observed stronger physiological effect caused by dissolved iron (in total 3839 differentially expressed genes [DEGs]) than by nZVI (945 DEGs). Dissolved iron (but not nZVI) activated genes involved in oxidative stress-related pathways, antioxidant activity, carbohydrate and energy metabolism, but downregulated genes associated with flagellar assembly proteins and two-component systems involved in sensing external stimuli. As a result, bacteria very effectively faced oxidative insults and cell viability was not affected.

Malate-mediated CqMADS68 enhances aluminum tolerance in quinoa seedlings through interaction with CqSTOP6, CqALMT6 and CqWRKY88. Aluminum (Al) stress in acidic soils has severe negative effects on crop productivity. In this study, the alleviating effect and related mechanism of malate on Al stress in quinoa (Chenopodium quinoa) seedlings were investigated. The findings indicated that malate alleviated the growth inhibition of quinoa seedlings under Al stress, maintained the enzymatic and nonenzymatic antioxidant systems, and aided resistance to the damage caused by excessive reactive oxygen species (ROS). Under Al stress, malate significantly increased the contents of chlorophyll and carotenoids in quinoa shoots by 103.8% and 240.7%, and significantly increased the ratios of glutathione (GSH)/oxidized glutathione (GSSG), and ascorbate (AsA)/dehydroascorbate (DHA) in roots by 59.9% and 699.2%, respectively. However, malate significantly decreased the superoxide radical (O2•-), hydrogen peroxide (H2O2), malondialdehyde (MDA) and Al contents in quinoa roots under Al stress by 32.7%, 60.9%, 63.1% and 49%, respectively. Moreover, the CqMADS family and the Al stress-responsive gene families (CqSTOP, CqALMT, and CqWRKY) were identified from the quinoa genome. Comprehensive expression profiling identified CqMADS68 as being involved in malate-mediated Al resistance. Transient overexpression of CqMADS68 increased Al tolerance in quinoa seedlings. More importantly, we found that CqMADS68 regulated the expression of CqSTOP6, CqALMT6 and CqWRKY88 and further demonstrated the interaction of CqMADS68 with CqSTOP6, CqALMT6 and CqWRKY88 by bimolecular fluorescence complementation (BIFC) experiments. Moreover, transient overexpression and physiological and biochemical analyses demonstrated that CqSTOP6, CqALMT6 and CqWRKY88 could also improve Al tolerance by maintaining the antioxidant capacity of quinoa seedlings. Taken together, these findings reveal that CqMADS68, CqSTOP6, CqALMT6 and CqWRKY88 may be important contributors to the Al tolerance regulatory network in quinoa, providing new insights into Al stress resistance.

Insights into the correlation between different adsorption/oxidation/catalytic performance and physiochemical characteristics of Fe-Mn oxide-based composites. Fe-Mn oxide-based composites have been widely used in the solidification of heavy metals or the removal of organic pollutants, which can not only show excellent adsorption/oxidation performance, but also show catalytic activity for common oxidants. At present, the correlation between adsorption/oxidation/catalytic performance and physicochemical characteristics of these composites, and the underlying mechanisms are still unclear. Therefore, the main purpose of this review is to disclose the internal relationship between the physicochemical properties of Fe-Mn oxide-based composites and the pollutant removal performance. From the perspective of crystal phase, the basic units of Fe-Mn oxide composites are divided into Fe-Mn binary oxide (FMBO) and spinel MnFe2O4, and the two species were discussed separately in most chapters. The selected physicochemical properties mainly include the type of Fe-Mn oxide composites, surface-to-volume ratio, pore volume, pHpzc, crystal type, surface functional groups. Because the physicochemical properties that determine how effective Fe-Mn oxide material is at removing contaminants may differ as it performs different functions, we discussed the above problems under different application scenarios (adsorption, oxidation, and advanced oxidation process). Additionally, internal factor (Fe/Mn mole ratio) and external factors (pHini, co-ions and ionic strength) were analyzed, and several common synthetic strategies of these composites were presented.

Biomimetic design of implants for long bone critical-sized defects. This computational study addresses new biomimetic load-bearing implants designed to treat long bone critical-sized defects in a proximal diaphysis region. The design encompasses two strategies: a Haversian bone-mimicking approach for cortical bone and lattices based on triply periodic minimal surfaces (TPMS) for trabecular bone. Compression tests are modeled computationally via a non-linear finite element analysis with Ti6Al4V alloy as a base material. Nine topologies resembling cortical bone are generated as hollow cylinders with different channel arrangements simulating Haversian (longitudinal) and Volkmann (transverse) canals to achieve properties like those of a human cortical bone (Strategy I). Then, the selected optimal structure from Strategy I is merged with the trabecular bone part represented by four types of TPMS-based lattices (Diamond, Primitive, Split-P, and Gyroid) with the same relative density to imitate the whole bone structure. The Strategy I resulted in finding a hollow cylinder including Haversian and Volkmann canals, optimized in canals number, shape, and orientation to achieve mechanical behavior close to human cortical bone. The surface area and volume created by such canals have the maximum values among all studied combinations of transverse and longitudinal channels. Strategy II reveals the effect of interior design on the load-bearing capacity of the whole component. Between four types of selected TPMS, Diamond-based lattice and Split-P have more uniform stress distribution, resulting in a superior load-bearing efficiency than Gyroid and Primitive-based design showing less uniformity. This work offers a new design of the bone-mimicking implant, with cortical and trabecular bone components, to repair long bone critical-sized defects.

Effect of pigmentation techniques on the fatigue mechanical behavior of a translucent zirconia for monolithic restorations. This study aims to characterize the effect of pre- and/or post-sintering pigmentation techniques on the fatigue behavior of a 4YSZ ceramic (4 mol% yttrium stabilized zirconia). First, 4YSZ ceramic discs (IPS e.max ZirCAD, 15 mm diameter, and 1.2 mm thickness) were obtained and allocated according to the 'pigmentation technique' factor into 5 groups: Ctrl - unshaded ceramic disc (IPS e.max ZirCAD BL); Manuf - ceramic discs shaded by the manufacturer at block formation (IPS e.max ZirCAD MT A2); Brush - unshaded ceramic disc pigmented in the pre-sintered stage using a brush; Stain - unshaded ceramic disc pigmented in the post-sintering stage using a stain glaze (shade A2); Brush + Stain - combination of Brush and Stain techniques. The specimens were sintered and analyzed by a spectrophotometer (VITA Easyshade) for color differences (ΔE00 calculated according to CIEDE, 2000) to ensure that they present the same perceived color (ΔE00 ≤ 1.77, acceptability threshold). The specimens (n = 15) were submitted to biaxial flexural fatigue testing using a cyclic fatigue method (frequency of 20 Hz; 10,000 cycles per step; initial stress of 200 MPa; and step-size of 25 MPa) until specimen fracture. Fatigue strength (FS) and number of cycles until failure (CFF) were recorded with statistical purposes. Fractographic, complementary topography, elemental and roughness analyses were performed. The Ctrl shown the highest FS, CFF, and survival rates compared to the other conditions (p < 0.05), being only statistically similar to Brush. Stain showed the lowest FS, CFF and survival rates (p < 0.05). The Manuf and Brush + Stain shown intermediary performance. In regards of Weibull moduli, Brush shown the lowest values (lowest structural reliability), for both FS and CFF, being only statistically similar to Manuf. Topography analysis shown a uniform size of zirconia crystals in Ctrl, Manuf and Brush. In addition, a smooth glassy surface with some spots of impregnated pigment was observed in the groups where glaze was applied (Stain and Brush + Stain). This finding was corroborated by elemental analysis. Despite that, Stain and Brush + Stain presented the roughest surface (p < 0.05). In summary, the pigmentation techniques used to provide a Vita classical A2 color shade have a detrimental effect on the mechanical fatigue properties of a 4YSZ ceramic, except for the technique performed with the brush in the block pre-sintering stage. Despite this, the brush technique presents great variability in mechanical performance, resulting in lower structural reliability.

Posttraumatic growth and rumination among parents of children with autism spectrum disorder: The mediating role of social support. Although rumination and social support are regarded as essential predictors of posttraumatic growth (PTG), few studies have explored the associations among PTG, rumination, and social support in parents of children with autism spectrum disorder (ASD). This study examined whether social support mediates the relationship between rumination and PTG. Cross-sectional questionnaire data were collected from 385 parents of children with ASD from September 2019 to November 2020 by convenience sampling. Participants completed the Posttraumatic Growth Inventory, Event Related Rumination Inventory, and Social Support Rating Scale. Path analyses showed that subjective support partially mediates the relationship between deliberate rumination and PTG (β = 0.073, P &lt; 0.001), and indirect effects account for 15.30% of the total effects. In addition, a negative direct path was found between intrusive and PTG because of the suppression effect of subjective support (β = -0.110, P &lt; 0.01), and indirect effects accounted for 80% of the direct effects. For future studies, it underscores the essential role of subjective support and rumination in promoting PTG in parents of children with ASD.

Quantum chemical hydrogenolysis strategy for elimination of heteroatoms in biomass homologous organic compounds based on oxolane and thiolane. Bio-oils obtained from biomass contain heteroatoms compounds, like oxolane and thiolane. It is quite difficult for industrialist to purify such refractory bio-oils. One of the efficient strategies for the elimination of heteroatoms is hydrogenolysis process, which results in the formation of H2O and H2S residues as by-products. In this work, quantum chemical studies have been used to analyse the reaction mechanism for the removal of hetero atoms (S and O) as H2O and H2S. We selected B3LYP functional of DFT with Pople's basis set 6-311G(d,p) for computing the hydrogenolysis steps without catalyst. LANL2DZ basis set, is used for studying hydrogenolysis steps involving AlCl3 and WS3H3+ as catalysts. All the reactions are analysed at the temperature of 600 K and pressure of 40 bars. Structural, thermodynamic, kinetic properties have been employed to study this process. The analysis of variations parameters during the hydrogenolysis process reveals that these two organic biomass compounds undergo sequential ring opening at C-X (X = O, S) bonds. Butanol and Butanethiol are obtained as a result of first hydrogenolysis process, and these compounds are converted to butane during second catalytic process while eliminating heteroatoms.

Top 100 cited Articles in Charcot Neuroarthropathy. An article's scientific impact has often been measured by the number of citations it receives, and a citation analysis can help determine impactful works in medical specialties. The objective of this study is to describe the metrics and levels of evidence of articles in Charcot neuroarthropathy. This study reviewed the top 100 most cited articles available when searching for articles in electronic database using the keywords "Charcot neuroarthropathy." Each article was examined for the number of citations, publication type, journal specialty, authorship, country of origin, year of publication, level of evidence, and total sample size. The number of citations ranged from 20 to 490. The 100 most cited articles were published in 48 journals, spanning from general to more specific subspecialty journals. 19% of articles were published by the Journal of Foot and Ankle Surgery. The most common level of evidence was V (42 out of 100 articles), and most articles were literature reviews (n = 42) and case series (n = 27). The median sample size in experimental studies was 29. Out of 100 articles, only 5 were randomized controlled trials. The median year of most cited publications, 2008, suggests a need for newer studies reviewing Charcot neuroarthropathy. The paucity of articles with an evidence level of 1 or 2 along with small median sample size suggests a lack of scientifically rigorous studies reviewing Charcot neuropathy. Identification of most cited papers about Charcot neuroarthropathy gives clinicians insight into the general scientific review of the disorder. N/A.

Seven decades of Ramadan intermittent fasting research: Bibliometrics analysis, global trends, and future directions. There is a large body of research focused on various aspects related to Ramadan intermittent fasting (RIF) and human health and disease. This study aimed to quantify the bibliometric data of RIF medical research over the past seven decades and explore these variables qualitatively via text mining analysis. We used the Scopus search engine to identify published articles related to RIF from inception to December 31, 2021. All types of research articles were included. Scientometric and bibliometric measures were determined using Excel, Biblioshiny, and VOSviewer. This study proposed a bibliometric and text mining method to qualitatively and quantitatively recognize the RIF research trend. The Scopus search returned 1915 relevant articles. Most citations pertained to publications from the last two decades, and most publications were original research articles. These publications had received around 27,000 citations, and the 20 most prolific publishing journals had an average h-index of 112.25. More than one-third of all medical publications were in open-access journals. There was a 13-fold increase in medical research on RIF over the past few decades. We identified the 10 most prolific publishing countries, institutes, journals, and authors. We also identified five scientific hotspots of RIF scientific literature, which were: diabetes, metabolic health, public health, physiology, and maternity. This is the first comprehensive bibliometric analysis of medical research related to RIF. The research gaps identified will shape future research directions and foster collaborative research activities toward enhanced medical nutrition research revolving around RIF.

Immature ALS-associated mutant superoxide dismutases form variable aggregate structures through distinct oligomerization processes. Protein misfolding and aggregation are hallmarks of many diseases, including amyotrophic lateral sclerosis (ALS). In familial ALS, aberrant self-association of mutant Cu,Zn-superoxide dismutase (SOD1) is implicated as a key contributor to disease. Mutations have the largest impacts on the stability of the most immature form of SOD1, the unmetallated, disulfide-reduced monomer (apoSH SOD1). Here we demonstrate that, despite the marginal stability of apoSH SOD1, aggregation is little correlated with the degree of protein unfolding, and multiple modes of aggregation occur, depending on the mutation and solution conditions. Light scattering and atomic force microscopy reveal two distinct mutant SOD1 behaviours: high aggregator mutants form abundant small assemblies, while low aggregator mutants form fewer, more fibre-like aggregates. Attenuated total reflectance-Fourier transform infrared spectroscopy and Thioflavin T binding show the aggregates maintain native-like anti-parallel beta structure. These results provide new evidence that ALS-associated mutations promote the aggregation of apoSH SOD1 through multiple pathways, with broad implications for understanding mechanisms of protein self-association in disease and biotechnology.

Modulation of global stability, ligand binding and catalytic properties of trypsin by anions. Specific salts effect is well-known on stability and solubility of proteins, however, relatively limited knowledge is known regarding the effect on catalytic properties of enzymes. Here, we examined the effect of four sodium anions on thermal stability and catalytic properties of trypsin and binding of the fluorescent probe, p-aminobenzamidine (PAB), to the enzyme. We show that the specific anions effect on trypsin properties agrees with the localization of the anions in the Hofmeister series. Thermal stability of trypsin, Tm, the affinity of the fluorescent probe to the binding site, Kd, and the rate constant, kcat, of trypsin-catalyzed hydrolysis of the substrate N-benzoyl-L-arginine ethyl ester (BAEE) increase with increasing kosmotropic character of anions in the order: perchlorate<bromide<chloride<sulfate, while the value of Michaelis constant, KM, decreases. Correlations between the values of Tm, Kd for PAB, kcat, and KM for BAEE in the presence of 1 M studied salts suggest interrelation among these parameters of the enzyme. Global stabilization as well as increased rigidity of trypsin is accompanied by strengthening of interaction with fluorescent probe PAB and in accordance with decreasing values of KM for the substrate BAEE. Strong correlations between parameters characterizing the trypsin properties with the charge densities of anions clearly indicate direct electrostatic interaction as a basis of the specific anion effect on the conformational and functional properties of the enzyme.