bluuebunny/crossref_metadata_2025 huggingface dataset:
Proximal Molecular Probe Transfer (PROMPT), a new approach for identifying sites of protein/nucleic acid interaction in cells by correlated light and electron microscopy
Authors: Castillon Guillaume A. , Phan Sebastien , Hu Junru , Boassa Daniela , Adams Stephen R. , Ellisman Mark H.
Published: December 2023

The binding and interaction of proteins with nucleic acids such as DNA and RNA constitutes a fundamental biochemical and biophysical process in all living organisms. Identifying and visualizing such temporal interactions in cells is key to understanding their function. To image sites of these events in cells across scales, we developed a method, named PROMPT for PROximal Molecular Probe Transfer, which is applicable to both light and correlative electron microscopy. This method relies on the transfer of a bound photosensitizer from a protein known to associate with specific nucleic acid sequence, allowing the marking of the binding site on DNA or RNA in fixed cells. The method produces a fluorescent mark at the site of their interaction, that can be made electron dense and reimaged at high resolution in the electron microscope. As proof of principle, we labeled in situ the interaction sites between the histone H2B and nuclear DNA. As an example of application for specific RNA localizations we labeled different nuclear and nucleolar fractions of the protein Fibrillarin to mark and locate where it associates with RNAs, also using electron tomography. While the current PROMPT method is designed for microscopy, with minimal variations, it can be potentially expanded to analytical techniques.
IoT and ML approach for ornamental fish behaviour analysis
Authors: Patro K. Suresh Kumar , Yadav Vinod Kumar , Bharti Vidya S. , Sharma Arun , Sharma Arpita , Senthilkumar T.
Published: December 2023

Ornamental fish keeping is the second most preferred hobby in the world and it provides a great opportunity for entrepreneurship development and income generation. Controlling the environment in ornamental fish farm is a considerable challenge because it is affected by a variety of parameters like water temperature, dissolved oxygen, pH, and disease occurrences. One particular interesting ornamental fish species is goldfish (Carassius auratus). Machine learning (ML) and deep learning technique have significant potential in analysing voluminous data collected from fish farm. Through this technique, the fish farmers can get insight on feeding behaviour, fish growth patterns, predict diseases/stress, and environmental factors affecting fish health. The aim of the study is to analyze the behavioural changes in goldfish due to alterations in environmental parameters (water temperature and dissolved oxygen). Decision tree, Naïve Bayes classifier, K-nearest neighbour (KNN), and linear discriminant analysis (LDA) were used to analyse the behavioural change data. To compare the performance between all four classifiers, cross validation and confusion matrix used. The cross-validation error of LDA, Naïve Bayes classification, KNN and decision tree was 19.86, 28.08, 30.14 and 13.78 respectively. Decision tree was proved to be the most accurate and effective classifier. Different temperature and DO range were taken to predict fish behaviour. Some findings are, the behaviour of fish was rest between temperature 37.85 °C and 40.535 °C, erratic when temperature was greater than or equal to 40.535 °C, gasping when temperature was between 37.85 and 40.535 °C and when DO concentration was less than 6.58 mg/L. Blood parameter analysis has been done to validate the change in external behaviours with change in physiological parameters.
Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance
Authors: Ondrikova Nikola , Clough Helen , Douglas Amy , Vivancos Roberto , Itturiza-Gomara Miren , Cunliffe Nigel , Harris John P.
Published: December 2023

Social distancing interrupted transmission patterns of contact-driven infectious agents such as norovirus during the Covid-19 pandemic. Since routine surveillance of norovirus was additionally disrupted during the pandemic, traditional naïve forecasts that rely only on past public health surveillance data may not reliably represent norovirus activity. This study investigates the use of statistical modelling to predict the number of norovirus laboratory reports in England 4-weeks ahead of time before and during Covid-19 pandemic thus providing insights to inform existing practices in norovirus surveillance in England. We compare the predictive performance from three forecasting approaches that assume different underlying structure of the norovirus data and utilized various external data sources including mobility, air temperature and relative internet searches (Time Series and Regularized Generalized Linear Model, and Quantile Regression Forest). The performance of each approach was evaluated using multiple metrics, including a relative prediction error against the traditional naive forecast of a five-season mean. Our data suggest that all three forecasting approaches improve predictive performance over the naïve forecasts, especially in the 2020/21 season (30–45% relative improvement) when the number of norovirus reports reduced. The improvement ranged from 7 to 22% before the pandemic. However, performance varied: regularized regression incorporating internet searches showed the best forecasting score pre-pandemic and the time series approach achieved the best results post pandemic onset without external data. Overall, our results demonstrate that there is a significant value for public health in considering the adoption of more sophisticated forecasting tools, moving beyond traditional naïve methods, and utilizing available software to enhance the precision and timeliness of norovirus surveillance in England.
Porcine milk exosomes modulate the immune functions of CD14+ monocytes in vitro
Authors: Ávila Morales Gabriela , De Leonardis Daria , Filipe Joel , Furioso Ferreira Rafaela , Agazzi Alessandro , Sauerwein Helga , Comi Marcello , Mrljak Vladimir , Lecchi Cristina , Ceciliani Fabrizio
Published: December 2023

Exosomes mediate near and long-distance intercellular communication by transferring their molecular cargo to recipient cells, altering their biological response. Milk exosomes (MEx) are internalized by immune cells and exert immunomodulatory functions in vitro. Porcine MEx can accumulate in the small intestine, rich in macrophages. No information is available on the immunomodulatory ability of porcine MEx on porcine monocytes, which are known precursors of gut macrophages. Therefore, this study aims at (1) assessing the in vitro uptake of porcine MEx by porcine monocytes (CD14+), and (2) evaluating the in vitro impact of porcine MEx on porcine monocytes immune functions. MEx were purified by ultracentrifugation and size exclusion chromatography. The monocytes’ internalization of PKH26-labeled MEx was examined using fluorescence microscopy. Monocytes were incubated with increasing exosome concentrations and their apoptosis and viability were measured. Lastly, the ability of MEx to modulate the cells’ immune activities was evaluated by measuring monocytes’ phagocytosis, the capacity of killing bacteria, chemotaxis, and reactive oxygen species (ROS) production. MEx were internalized by porcine monocytes in vitro. They also decreased their chemotaxis and phagocytosis, and increased ROS production. Altogether, this study provides insights into the role that MEx might play in pigs’ immunity by demonstrating that MEx are internalized by porcine monocytes in vitro and exert immunomodulatory effects on inflammatory functions.
Space, time, and dynamics of binocular interactions
Authors: Yassin Marzouk , Lev Maria , Polat Uri
Published: December 2023

Binocular summation (BS), defined as the superiority of binocular over monocular visual performance, shows that thresholds are about 40% (a factor of 1.4) better in binocular than in monocular viewing. However, it was reported that different amounts of BS exist in a range from 1.4 to 2 values because BS is affected by the spatiotemporal parameters of the stimulus. Lateral interactions can be defined as the neuron’s ability to affect the neighboring neurons by either inhibiting or exciting their activity. We investigated the effect of the spatial and temporal domains on binocular interactions and BS under the lateral masking paradigm and how BS would be affected by lateral interactions via a lateral masking experiment. The two temporal alternative forced-choice (2TAFC) method was used. The stimuli consisted of a central vertically oriented Gabor target and high-contrast Gabor flankers positioned in two configurations (orthogonal or collinear) with target-flanker separations of either 2 or 3 wavelengths (λ), presented at 4 different presentation times (40, 80, 120, and 200 ms) using a different order of measurements across the different experiments. Opaque lenses were used to control the monocular and binocular vision. BS is absent at close distances (2λ), depending on the presentation time’s order, for the collinear but not for the orthogonal configuration. However, BS exists at more distant flankers (collinear and orthogonal, 3λ). BS is not uniform (1.4); it depends on the stimulus condition, the presentation times, the order, and the method that was used to control the monocular and binocular vision.
Asthma control and sputum eosinophils in adult patients: a cross-sectional study in southern Brazil
Authors: Barcellos Vanessa Albano , dos Santos Vanessa Cristina Hartmann , Moreira Maria Ângela Fontoura , Dalcin Paulo de Tarso Roth
Published: December 2023

Asthma control and health related quality of life are an important goal of asthma management, but their association with sputum eosinophilic inflammation has been less firmly established. To investigate the relationship of asthma control and quality of life with sputum eosinophils in clinical practice. Cross-sectional study with a convenience sample, including patients with asthma, aged between 18 and 65 years, attending to outpatient clinic. Patients underwent sputum induction, pulmonary function tests, Juniper’s Asthma Quality of Life Questionnaire (AQLQ), Asthma Control Test (ACT), Global Initiative for Asthma (GINA) criteria for evaluation of asthma control and severity of the disease, blood count analysis, serum IgE and cutaneous prick test. Sputum sample was considered as eosinophilic if the percentage of eosinophils was ≥ 3%. A total of 45 individuals were enrolled, 15 with eosinophilic sputum (≥ 3% eosinophil cells) and 30 with non-eosinophilic sputum (< 3% eosinophil cells). There were no association of ACT an AQLQ scores with sputum eosinophilia (p > 0.05). This study suggested that the finding of sputum eosinophilia was not related to asthma control neither with health-related quality of life in patients with severe asthma.
Dysregulated wound healing in the pathogenesis of urogynecologic mesh complications
Authors: Artsen Amanda M. , Liang Rui , Meyn Leslie , Bradley Megan S. , Moalli Pamela A.
Published: December 2023

To test the hypothesis that dysregulated wound healing is associated with Urogynecologic mesh complications, we collected vaginal cell secretions using vaginal swabs after polypropylene mesh implantation in patients with (N = 39) and without (N = 40) complication. A customized multiplex immunoassay measured markers of inflammation (MCP-1, IGFBP-1, IL-2, IL-10, IL-17, PDGF-BB, bFGF, IL-1b, IL-6, IL-12p70, TNF-α), neuroinflammation (IL-1RA, TGF-β, IL-15, IL-18, IL-3, M-CSF), angiogenesis (VEGF), and matrix proteins (fibronectin, tenasin c, thrombospondin-2, lumican) between groups. Patients with complications were younger, heavier, implanted with mesh longer, and more likely to be ever smokers. A 5 kg/m2 BMI increase and ever-smoking were associated with a 2.4-fold and sixfold increased risk of complication, respectively. Patients with the highest tertile of bFGF, fibronectin, thrombospondin-2, TNF-β, or VEGF had an odds ratio (OR) of 11.8 for having a mesh complication while ≥ 3 elevated had an OR of 237 while controlling for age, BMI, and smoking. The highest tertile of bFGF, thrombospondin-2, and fibronectin together perfectly indicated a complication (P < 0.0001). A receiver-operator curve for high bFGF, thrombospondin-2, and fibronectin showed excellent discrimination between complications and controls (AUC 0.87). These data provide evidence of dysregulated wound healing in mesh complications. Modifiable factors provide potential targets for patient counseling and interventions.
Correlation between dynamic contrast-enhanced MRI characteristics and apparent diffusion coefficient with Ki-67-positive expression in non-mass enhancement of breast cancer
Authors: Nie Tingting , Feng Mengwei , Yang Kai , Guo Xiaofang , Yuan Zilong , Zhang Zhaoxi , Yan Gen
Published: December 2023

As a remarkably specific characteristic of breast cancer observed on magnetic resonance imaging (MRI), the association between the NME type breast cancer and prognosis, including Ki-67, necessitates comprehensive exploration. To investigate the correlation between dynamic contrast-enhanced MRI (DCE-MRI) characteristics and apparent diffusion coefficient (ADC) values with Ki-67-positive expression in NME type breast cancer. A total of 63 NME type breast cancer patients were retrospectively reviewed. Malignancies were confirmed by surgical pathology. All patients underwent DCE and diffusion-weighted imaging (DWI) before surgery. DCE-MRI characteristics, including tumor distribution, internal enhancement pattern, axillary adenopathy, and time-intensity curve types were observed. ADC values and lesion sizes were also measured. The correlation between these features and Ki-67 expression were assessed using Chi-square test, Fisher’s exact test, and Spearman rank analysis. The receiver operating characteristic curve and area under the curve (AUC) was used to evaluate the diagnostic performance of Ki-67-positive expression. Regional distribution, TIC type, and ipsilateral axillary lymph node enlargement were correlated with Ki-67-positive expression (χ2 = 0.397, 0.357, and 0.357, respectively; P < 0.01). ADC value and lesion size were positively correlated with Ki-67-positive expression (rs = 0.295, 0.392; P < 0.05). The optimal threshold values for lesion size and ADC value to assess Ki-67 expression were determined to be 5.05 (AUC = 0.759) cm and 0.403 × 10–3 s/mm2 (AUC = 0.695), respectively. The best diagnosis performance was the ADC combined with lesion size (AUC = 0.791). The ADC value, lesion size, regional distribution, and TIC type in NME type breast cancer were correlated with Ki-67-positive expression. These features will aid diagnosis and treatment of NME type breast cancer.
Modulation recognition method of mixed signals based on cyclic spectrum projection
Authors: Yang Weichao , Ren Ke , Du Yu , Zheng Jia , Ping Yifan , Wang Sujun , Yang Xinquan , Li Li
Published: December 2023

The signal in the receiver is mainly a combination of different modulation types due to the complex electromagnetic environment, which makes the modulation recognition of the mixed signal a hot topic in recent years. In response to the poor adaptability of existing mixed signals recognition methods, this paper proposes a new recognition method for mixed signals based on cyclic spectrum projection and deep neural network. Firstly, through theoretical derivation, we prove the feasibility of using cyclic spectrum for mixed communication signal identification. Then, we adopt grayscale projections on the two-dimensional cyclic spectrum as identifying representation. And a new nonlinear piecewise mapping and directed pseudo-clustering method are used to enhance the above-mentioned grayscale images, which reduces the impact of energy ratios and symbol rates on signal identification. Finally, we use deep neural networks to extract deep abstract modulation information to achieve effective recognition of mixed signals. Simulation results show that the proposed method is robust against noise. When signal-to-noise ratio is not less than 0 dB, the average recognition rate is greater than 95%. Furthermore, this method exhibits good robustness towards the changes in signal symbol rates and energy ratios between mixed signals.
CT perfusion stroke lesion threshold calibration between deconvolution algorithms
Authors: Chung Kevin J. , De Sarno Danny , Lee Ting-Yim
Published: December 2023

CTP is an important diagnostic tool in managing patients with acute ischemic stroke, but challenges persist in the agreement of stroke lesion volumes and ischemic core-penumbra mismatch profiles determined with different CTP post-processing software. We investigated a systematic method of calibrating CTP stroke lesion thresholds between deconvolution algorithms using a digital perfusion phantom to improve inter-software agreement of mismatch profiles. Deconvolution-estimated cerebral blood flow (CBF) and Tmax was compared to the phantom ground truth via linear regression for one model-independent and two model-based deconvolution algorithms. Using the clinical standard of model-independent CBF < 30% and Tmax > 6 s as reference thresholds for ischemic core and penumbra, respectively, we determined that model-based CBF < 15% and Tmax > 6 s were the corresponding calibrated thresholds after accounting for quantitative differences revealed at linear regression. Calibrated thresholds were then validated in 63 patients with large vessel stroke by evaluating agreement (concordance and Cohen’s kappa, κ) between the two model-based and model-independent deconvolution methods in determining mismatch profiles used for clinical decision-making. Both model-based deconvolution methods achieved 95% concordance with model-independent assessment and Cohen’s kappa was excellent (κ = 0.87; 95% confidence interval [CI] 0.72–1.00 and κ = 0.86; 95% CI 0.70–1.00). Our systematic method of calibrating CTP stroke lesion thresholds may help harmonize mismatch profiles determined by different software.
Changes in physical performance, body composition and physical training during military operations: systematic review and meta-analysis
Authors: Pihlainen K. , Santtila M. , Nindl B. C. , Raitanen J. , Ojanen T. , Vaara J. P. , Helén J. , Nykänen T. , Kyröläinen H.
Published: December 2023

Systematic review and meta-analysis applying PRISMA guidelines with a PICOS format was constructed to provide an overview of changes in physical performance, body composition and physical training in soldiers during prolonged (≥ 3 months) military operations. Twenty-four studies out of the screened 4431 records filled the inclusion criteria. A small decrease in endurance performance was the most consistent finding (Hedge's g [g] − 0.21, 95% CI − 0.01 to − 0.41) while small overall increases in maximal strength of the lower (g 0.33, 95% CI 0.16–0.50) and upper body (g 0.33, 95% CI 0.19–0.46) were observed. In addition, small increases in strength endurance (push-up, g 0.34, 95% CI 0.15–0.52; sit-up g 0.26, 95% CI 0.07–0.44) were observed. The overall changes in body composition were trivial. Heterogeneity in the outcome variables varied mainly between low to moderate. Large inter-individual variations were observed in physical training volume, including decrements especially in endurance training frequency and volume. A reduction in total training load was often associated with negative changes in body composition and physical performance according to the principle of training specificity. Individuals with higher initial fitness level were more susceptible to decrements in their physical performance during operation.
Bortezomib-induced neuropathy is in part mediated by the sensitization of TRPV1 channels
Authors: Sprague Jared M. , Yekkirala Ajay S. , Singh Bhagat , Tochitsky Ivan , Stephens Michael , Viramontes Octavio , Ivanis Jelena , Biscola Natalia P. , Havton Leif A. , Woolf Clifford J. , Latremoliere Alban
Published: December 2023

TRPV1 is an ion channel that transduces noxious heat and chemical stimuli and is expressed in small fiber primary sensory neurons that represent almost half of skin nerve terminals. Tissue injury and inflammation result in the sensitization of TRPV1 and sustained activation of TRPV1 can lead to cellular toxicity though calcium influx. To identify signals that trigger TRPV1 sensitization after a 24-h exposure, we developed a phenotypic assay in mouse primary sensory neurons and performed an unbiased screen with a compound library of 480 diverse bioactive compounds. Chemotherapeutic agents, calcium ion deregulators and protein synthesis inhibitors were long-acting TRPV1 sensitizers. Amongst the strongest TRPV1 sensitizers were proteasome inhibitors, a class that includes bortezomib, a chemotherapeutic agent that causes small fiber neuropathy in 30–50% of patients. Prolonged exposure of bortezomib produced a TRPV1 sensitization that lasted several days and neurite retraction in vitro and histological and behavioral changes in male mice in vivo. TRPV1 knockout mice were protected from epidermal nerve fiber loss and a loss of sensory discrimination after bortezomib treatment. We conclude that long-term TRPV1 sensitization contributes to the development of bortezomib-induced neuropathy and the consequent loss of sensation, major deficits experienced by patients under this chemotherapeutic agent.
Microbial gene expression analysis of healthy and cancerous esophagus uncovers bacterial biomarkers of clinical outcomes
Authors: Schäffer Daniel E , Li Wenrui , Elbasir Abdurrahman , Altieri Dario C , Long Qi , Auslander Noam
Published: December 2023

Local microbiome shifts are implicated in the development and progression of gastrointestinal cancers, and in particular, esophageal carcinoma (ESCA), which is among the most aggressive malignancies. Short-read RNA sequencing (RNAseq) is currently the leading technology to study gene expression changes in cancer. However, using RNAseq to study microbial gene expression is challenging. Here, we establish a new tool to efficiently detect viral and bacterial expression in human tissues through RNAseq. This approach employs a neural network to predict reads of likely microbial origin, which are targeted for assembly into longer contigs, improving identification of microbial species and genes. This approach is applied to perform a systematic comparison of bacterial expression in ESCA and healthy esophagi. We uncover bacterial genera that are over or underabundant in ESCA vs healthy esophagi both before and after correction for possible covariates, including patient metadata. However, we find that bacterial taxonomies are not significantly associated with clinical outcomes. Strikingly, in contrast, dozens of microbial proteins were significantly associated with poor patient outcomes and in particular, proteins that perform mitochondrial functions and iron-sulfur coordination. We further demonstrate associations between these microbial proteins and dysregulated host pathways in ESCA patients. Overall, these results suggest possible influences of bacteria on the development of ESCA and uncover new prognostic biomarkers based on microbial genes. In addition, this study provides a framework for the analysis of other human malignancies whose development may be driven by pathogens.
Performance improvement of underwater LIBS qualitative and quantitative analysis by irradiating with long nanosecond pulses
Authors: Zheng Yongqiu , Ban Deyue , Li Nan , Song Jiaojian , Zhang Jiaxu , Luo Yifan , Guan Jinge , Zhang Chengfei , Xue Chenyang
Published: December 2023

By using long pulses with a pulse width of 120 ns, the quantitative performance of underwater LIBS is significantly improved with higher signal stability, higher detection sensitivity, lower prediction errors, making long-pulse LIBS more advantageous.
An HDBB-based fluorescent probe for the sensitive detection of human serum albumin
Authors: Wang Liwen , Wang Tengfei , Wu Guang , Tian Dating
Published: December 2023

HDBB is an AIE molecule with ESIPT properties that could be employed as a fluorescent probe for sensitively detecting HSA with a good linear relationship and a low LOD. Furthermore, the sensing mechanism was elucidated by theoretical calculation.
Preparation and performance study of rhodamine B naphthylamide, a fluorescent probe, for the detection of Fe3+
Authors: Wang Jialin , Lv Shenghua , Zuo Jingjing , Liang Shan , Yang Juhui , Liu Leipeng , Wei Dequan
Published: December 2023

Fe3+ is essential for humans, and its deficiency or excess can be harmful to human health; thus, it is crucial to detect Fe3+.
Wafer-scale synthesis of two-dimensional ultrathin films
Authors: Singh Amresh Kumar , Thakurta Baishali , Giri Anupam , Pal Monalisa
Published: December 2023

Two-dimensional (2D) materials, consisting of atomically thin layered crystals, have attracted tremendous interest due to their outstanding intrinsic properties and diverse applications in electronics, optoelectronics, and catalysis.
Thermodynamic stability relationship of ternary and binary cocrystals of isoniazid: why pH and coformer concentration matter
Authors: Machado Tatiane Cogo , Rosa Juliana , Caon Thiago
Published: December 2023

We explained the thermodynamic behavior of ternary and binary cocrystals of isoniazid, identifying conditions where solution-mediated transformations may take place.
Polymer mechanochemistry: from single molecule to bulk material
Authors: Mu Qifeng , Hu Jian
Published: December 2023

Polymer mechanochemistry has experienced a renaissance over the past decades, primarily propelled by the rapid development of mechanophores and principles governing the mechanochemical transduction or material strengthening.
A highly efficient Li–Cu/MoOx catalyst constructed by a precursor dispersion and alkali metal-promotion stepwise regulation strategy for the CO2 hydrogenation to methanol reaction
Authors: Kang Bin , Zhang Yichi , Sun Jian , Yang Hui , Su Yue , Su Haiquan
Published: December 2023

The hydrogenation of CO2 enables the production of high-value fuels and chemicals, contributing to a sustainable and environment-friendly energy transition.
Formate dehydrogenase activity by a Cu(ii)-based molecular catalyst and deciphering the mechanism using DFT studies
Authors: Mishra Aman , Srivastava Diship , Raj Dev , Patra Niladri , Padhi Sumanta Kumar
Published: December 2023

A copper catalyst [Cu(N3Q3)Cl]Cl (N3Q3 = N,N-bis(quinolin-8-ylmethyl)quinolin-8-amine) has been employed for the dehydrogenation of formic acid. The thermodynamics and the kinetics have been depicted, and a mechanism deduced using DFT studies.
Mechanism of photocatalytic CO2 reduction to HCO2H by a robust multifunctional iridium complex
Authors: Zhang Ya-Qiong , Zhang Yu , Zeng Guoping , Liao Rong-Zhen , Li Man
Published: December 2023

DFT study on the reaction mechanism and origin of selectivity of the photocatalytic CO2 reduction catalyzed by a function-integrated PNNP-type IrIII complex.
Highly dispersed Ir/Fe nanoparticles anchored at nitrogen-doped activated pyrolytic carbon black as a high-performance OER catalyst for lead recovery
Authors: Jiang Guosai , Chen Meiling , Sun Yanzhi , Wu Yufeng , Pan Junqing
Published: December 2023

IrFe/NCBp catalyst was prepared by solvothermal way with high OER activity due to enhanced specific surface area and N doping of substrate, which realize energy-saving electrolysis for lead recovery due to the high selectivity for H2O oxidation.
An iron-containing POM-based hybrid compound as a heterogeneous catalyst for one-step hydroxylation of benzene to phenol
Authors: Li Si-Man , Wang Ji-Lei , Zhou Jiu-Lin , Xiang Xin-Ying , Yu Ya-Ting , Chen Qun , Mei Hua , Xu Yan
Published: December 2023

A POM-based hybrid compound {[FeII(pyim)2(CH5O)]2[HPMoV2MoVI9VIV3O42]}·H2O (Fe-PMo11V3) was synthesized via hydrothermal synthesis. Fe-PMo11V3 was used as a heterogeneous catalyst to achieve the selective conversion of benzene to phenol.
Selective interactions of Co2+–Ca2+–concanavalin A with high mannose N-glycans
Authors: Hwang Yunha , Jeong Jae-hee , Lee Dong-Heon , Lee Seung Jae
Published: December 2023

A structural study proved that Co2+–Ca2+–concanavalin A (ConA) conserves its carbohydrate binding affinity like native ConA (Mn2+–Ca2+–ConA).
An artificial bridge between the anode and the anolyte enabled by an organic ligand for sustainable zinc-based flow batteries
Authors: Zhi Liping , Liao Chenyi , Xu Pengcheng , Sun Fusai , Yuan Chenguang , Fan Fengtao , Li Guohui , Yuan Zhizhang , Li Xianfeng
Published: December 2023

The reliability of zinc-based flow batteries is normally limited by dendritic zinc in anode. In this work, we engineer an artificial bridge between anode and anolyte enabled by organic ligands to realize a highly uniform and dense zinc morphology.
Food waste: environmental impact and possible solutions
Authors: Kohli Kirtika , Prajapati Ravindra , Shah Raj , Das Mrinaleni , Sharma Brajendra K.
Published: December 2023

Food waste-induced environmental damage has been a primary concern for environmentalists for decades.
A synbiotic formulation of Lactobacillus reuteri and inulin alleviates ASD-like behaviors in a mouse model: the mediating role of the gut–brain axis
Authors: Wang Chuanchuan , Chen Weixuan , Jiang Yishan , Xiao Xiao , Zou Qianhui , Liang Jiarui , Zhao Yu , Wang Qianxu , Yuan Tian , Guo Rui , Liu Xuebo , Liu Zhigang
Published: December 2023

Autism Spectrum Disorder (ASD), a complex neurodevelopmental disorder marked by social communication deficits and repetitive behaviors, may see symptom amelioration through gut microbiota modulation.
Immunoregulation of bovine lactoferrin together with osteopontin promotes immune system development and maturation
Authors: Li Chuangang , Lu Yao , Wang Jian , Liu Biao , Szeto Ignatius Man-Yau , Zhang Wen , Bi Ran , Duan Sufang , Quan Rui , Wang Xuemin , Li Yixuan , Xiong Wei , Sun Jiazeng , Sun Yanan
Published: December 2023

The mixture of lactoferrin and osteopontin promotes the development of the immune system in early life and protects intestinal barrier from infection.
Effects of (−)-epicatechin on hepatic triglyceride metabolism
Authors: Mostofinejad Zahra , Cremonini Eleonora , Kang Jiye , Oteiza Patricia I.
Published: December 2023

(−)-Epicatechin (EC) consumption promotes changes in liver lipid homeostasis by increasing hepatic TG levels and DGAT2 and PPARα expression in mice. In human HepG2 cells, EC and its metabolites did not replicate these effects on TG accumulation.
Exploration of grape pomace peels and amaranth flours as functional ingredients in the elaboration of breads: phenolic composition, bioaccessibility, and antioxidant activity
Authors: Rodríguez Mariela , Bianchi Federico , Simonato Barbara , Rizzi Corrado , Fontana Ariel , Tironi Valeria A.
Published: December 2023

This study evaluated the incorporation of amaranth flour (AF) and grape pomace peel flour (GP) to improve the nutritional qualities and functional properties of a wheat bread, emphasising the revalorisation of agricultural residues from grape winemaking as a viable source of bioactive compounds.
Eco-friendly conversion between n- and p-type carbon nanotubes based on rationally functionalized lignin biopolymers
Authors: Choi Yoohyeon , Tran Ngoc Tuan , Jang Doojoon , Park Minju , Yoo Chun-Jae , Kim Jin Young , Lee Hyunjoo , Kim Heesuk
Published: December 2023

We strategically modify lignin as effective p- and n-dopants for nanocarbon materials, offering promising alternatives to chemical dopants from fossil-fuels.
Multiplexed immunosensing of cancer biomarkers on a split-float-gate graphene transistor microfluidic biochip
Authors: Wang Cheng , Wang Tao , Gao Yujing , Tao Qiya , Ye Weixiang , Jia Yuan , Zhao Xiaonan , Zhang Bo , Zhang Zhixing
Published: December 2023

FET-biosensors have been limited to single-target detections, due to the challenge of assembling multiple receptors within the confined gate area. using a split-float-gate structure, this work realizes the simultaneous detection of multiple analytes.
All slot-die coated organic solar cells using an amine processed cathode interlayer based upon an amino acid functionalised perylene bisimide
Authors: Ginesi Rebecca E. , Niazi Muhammad R. , Welch Gregory C. , Draper Emily R.
Published: December 2023

Large area inverted type organic solar cells based upon a dye modified tin oxide electron transport layer are reported.
Ionic liquid-coated lipid nanoparticles increase siRNA uptake into CNS targets
Authors: Khare Purva , Edgecomb Sara X. , Hamadani Christine M. , Conway James F. , Tanner Eden E. L. , S Manickam Devika
Published: December 2023

Ionic liquid (IL)-coated LNPs increase siRNA uptake into brain endothelial cells and motor neurons and lesser plasma proteins compared to standard LNPs.
Optical and thermoelectric properties of new Janus ZnMN2 (M = Ge, Sn, Si and N = S, Se, Te) monolayers: a first-principles study
Authors: Ali Basit , Idrees Muhammad , Alrebdi Tahani A. , Amin Bin , Alam Qaisar
Published: December 2023

In this work, we investigated the electronic, optical and thermoelectric properties of novel ZnMN2 (M = Ge, Sn, Si and N = S, Se, Te) monolayers by performing density functional theory calculations..
Photo-electro concerted catalysis of a highly active Pt/CoP/C nanocomposite for the hydrogen evolution reaction
Authors: Ye Yanzhu , Ye Yixiang , Cai Jiannan , Li Zhongshui , Lin Shen
Published: December 2023

A facile phosphorus doping method was used to synthesize Pt/CoP/C exhibiting superior photo electro-catalytic activity toward HER, and H2 amount reaches 5384.18 mmol h−1 g−1 under irradiation, displaying a cost-effective catalytic capacity of Pt.
Heterogeneous electrocatalysts of MoS2/NiCoP for highly stable hydrogen evolution
Authors: Wang Minmin , Xu Hao , Zhou Li , Sun Tongming , Tang Yanfeng
Published: December 2023

A 1D MoS2/NiCoP heterogeneous junction showing a highly efficient hydrogen evolution performance was developed. As expected, the optimized MoS2/NiCoP/NF material showed low overpotential of 148 mV for HER at a current density of 10 mA cm−2 in 1.0 M KOH and high stability.
Enhanced visible-light photocatalysis in three-dimensional rose-like ZnO with oxygen vacancies and Ag nanoparticles
Authors: Chen Shuoyu , Bi Tengfei , Du Zhenxi , Luo Shenghao , Fu Yuechun , He Huan , Shen Xiaoming
Published: December 2023

Ag/Ar-ZnO displays enhanced visible light photocatalytic performance due to a narrower bandgap of 2.79 eV, highly increased light absorption and improved charge separation and transfer efficiencies induced by oxygen vacancies and Ag nanoparticles.
Manipulation of electrochemical properties of MXene electrodes for supercapacitor applications by chemical and magnetic disorder
Authors: Das Mandira , Murari Himanshu , Ghosh Subhradip , Sanyal Biplab
Published: December 2023

The ferromagnetic configuration promotes a significantly high charge transfer and thus, a substantially large capacitance can be achieved by designing the system with both surfaces having ferromagnetic order.
Emergence of quasi-1D spin-polarized states in ultrathin Bi films on InAs(111)A for spintronics applications
Authors: Mihalyuk Alexey N. , Bondarenko Leonid V. , Tupchaya Alexandra Y. , Gruznev Dimitry V. , Solovova Nadezhda Yu. , Golyashov Vladimir A. , Tereshchenko Oleg E. , Okuda Taichi , Kimura Akio , Eremeev Sergey V. , Zotov Andrey V. , Saranin Alexander A.
Published: December 2023

Submonolayer Bi film grown on the InAs(111)A surface demonstrates quasi-1D and Rashba spin-polarized states characterizing the system as an advanced spintronics material fabricated in the ultimate 2D limit.
Co3X8 (X = Cl and Br): multiple phases and magnetic properties of the Kagome lattice
Authors: Bai Haoyun , Yu Zhichao , Feng Jinxian , Liu Di , Li Weiqi , Pan Hui
Published: December 2023

We found a novel Kagome lattice, Co3X8, in which the spontaneous movement of Co or X leads to distinct phase and physical properties. The anisotropic transmission properties of 12-Co3X8 make it possible to apply this lattice in nanodevices.
Iron-incorporated metal–organic frameworks for oxidative cleavage of trans-anethole to p-anisaldehyde
Authors: Xiong Jun , Yuan Xin , Zong Min-Hua , Wu Xiaoling , Lou Wen-Yong
Published: December 2023

An efficient artificial enzyme Zn-bpydc·Fe with lipoxygenase-like catalytic activity was fabricated, which enabled the oxidative cleavage of trans-anethole to generate p-anisaldehyde under mild conditions.
Manipulating macrophage polarization with nanoparticles to control metastatic behavior in heterotypic breast cancer micro-tissues via exosome signaling
Authors: Sungu Mustafa , Isik Melis , Güler Ülkü , Eylem Cemil Can , Eskizengin Hakan , Nemutlu Emirhan , Salih Bekir , Derkus Burak
Published: December 2023

Palladium nanoparticles-induced M1-like macrophages release exosomes (PdNPs-Exo) with anti-tumorigenic bioactivity. PdNPs-Exo downregulates metastatic genes and increases drug sensitivity in heterotypic breast cancer models.
A shadow enabled non-invasive probe for multi-feature intelligent liquid surveillance system
Authors: Lian Lizhen , Zhang Qian , Li Wenbo , Wang Bin , Liang Qijie
Published: December 2023

A non-invasive shadow probe (SP) based on the shadow effect for a multi-feature intelligent liquid surveillance system (ILSS) was developed. Combined with deep learning, the ILSS realizes accurate multi-feature detection of different liquids (99.3%).
Tuning dipolar and multipolar resonances of chiral silicon nanostructures for control of near field superchirality
Authors: Koyroytsaltis-McQuire Dominic J. P. , Kumar Rahul , Javorfi Tamas , Siligardi Giuliano , Gadegaard Nikolaj , Kadodwala Malcolm
Published: December 2023

Superchiral resonances of silicon metasurfaces are controlled by manipulation of their excited electric and magnetic multipoles.
Microbial alcohol dehydrogenases: recent developments and applications in asymmetric synthesis
Authors: Chadha Anju , Padhi Santosh Kumar , Stella Selvaraj , Venkataraman Sowmyalakshmi , Saravanan Thangavelu
Published: December 2023

In this review article, recent developments and applications of microbial alcohol dehydrogenases are summarized by emphasizing notable examples.
Evaluation of blood pressure using a flexible and wearable capacitive pressure sensor
Authors: Bijender  , Kumar Shubham , Soni Amit , Kumar Ashok
Published: December 2023

Performance of developed flexible and wearable sensor in static pressure measurement and in monitoring of human blood pressure (BP).
Ceria nanomaterials containing ytterbium: low and high concentration – luminescence analyzed in the near infrared region
Authors: Chemura Sitshengisiwe , Schrumpf Tim , Günter Christina , Kumke Michael U.
Published: December 2023

CeO2:Yb nanoparticles were characterized for their NIR luminescence at RT and at T = 4 K. The PARAFAC analysis yielded luminescence decay kinetics as well as the associated luminescence spectra for Yb3+ species in different local environments.
Hollow anatase TiO2 tetrakaidecahedral crystals with an active {001}/{110} redox interface toward high-performance photocatalytic activity
Authors: Sun Liming , Yuan Yaya , He Xiaoxiao , Zhan Wenwen , Li Dong , Zhao Yanli , Wang Xiao-Jun , Han Xiguang
Published: December 2023

The enhanced performance of hollow TiO2 tetrakaidecahedral photocatalysts was achieved through an increase in the ratio of the dominant {001}/{110} interfaces and highly active {110} facets.
Soluble Gd6Cu24 clusters: effective molecular electrocatalysts for water oxidation
Authors: Chen Jia-Nan , Pan Zhong-Hua , Qiu Qi-Hao , Wang Cheng , Long La-Sheng , Zheng Lan-Sun , Kong Xiang-Jian
Published: December 2023

Two synthesized Gd6Cu24 clusters—Gd6Cu24-IM and Gd6Cu24-AC—exhibit excellent electrocatalytic water oxidation activity in an aqueous solution of a weak acid (pH = 6) and had turnover frequencies of 319 and 169 s−1 at 1.70 V, respectively.
The average magnetic anisotropy of polystyrene in polymersomes self-assembled from poly(ethylene glycol)-b-polystyrene
Authors: Rikken Roger S. M. , Kleuskens Sandra , Abdelmohsen Loai K. E. A. , Engelkamp Hans , Nolte Roeland J. M. , Maan Jan C. , van Hest Jan C. M. , Wilson Daniela A. , Christianen Peter C. M.
Published: December 2023

The magnetic response of polymer vesicles can be studied using magnetic birefringence, but its response is hampered by a large degree of disorder in the polymer membrane. Here we show that a universal effective anisotropy per monomer remains, which can be used to study different polymersome shapes.
Core–shell BaPP@BDO-Rh benzimidazole oligomer photocatalyst can effectively promote NADH regeneration and CO2 conversion to fumarate
Authors: Li Guohua , Lin Zhiwen , Li Xiaodi , Zhang Yahui , Zhu Wenlong , Shao Yusheng , Xue Qiang , Fan Qunfeng , Tan Tianwei , Cao Hui
Published: December 2023

Benzimidazole oligomer was used for the first time in the field of photoenzymes, contributing to the early realization of carbon neutrality.
In situ formation of an inorganic lead oxysalt surface passivation layer for highly efficient and stable CsPbI3 perovskite solar cells
Authors: Fu Yao , Han Huifang , Liu Huijing , Xu Jia , Liu Yang , Shi Ruifeng , Yao Jianxi
Published: December 2023

We formed an inorganic lead oxysalt PbCrO4 passivate layer on CsPbI3 films by using ammonium chromate (AC) treatment. The passivation effectively reduces the defect density and improves the efficiency of PSCs from 17.96% to 19.09%.
Infiltration-assisted colloidal assembly of amorphous photonic crystal patterns with high color saturation and mechanical stability
Authors: Xu Mengwei , Lü Ting , Qi Dongming , Bai Ling , Pan Ying , Zhang Dong , Zhao Hongting
Published: December 2023

Fabrication of a steady APC pattern with high color saturation and mechanical stability via the IFAST Mayer rod coating method.
Self-Reported Stuttering Severity Is Accurate: Informing Methods for Large-Scale Data Collection in Stuttering
Authors: Horton Sarah , Jackson Victoria , Boyce Jessica , Franken Marie-Christine , Siemers Stephanie , John Miya St , Hearps Stephen , van Reyk Olivia , Braden Ruth , Parker Richard , Vogel Adam P. , Eising Else , Amor David J. , Irvine Janelle , Fisher Simon E. , Martin Nicholas G. , Reilly Sheena , Bahlo Melanie , Scheffer Ingrid , Morgan Angela
Published: December 2023

Purpose:

To our knowledge, there are no data examining the agreement between self-reported and clinician-rated stuttering severity. In the era of big data, self-reported ratings have great potential utility for large-scale data collection, where cost and time preclude in-depth assessment by a clinician. Equally, there is increasing emphasis on the need to recognize an individual's experience of their own condition. Here, we examined the agreement between self-reported stuttering severity compared to clinician ratings during a speech assessment. As a secondary objective, we determined whether self-reported stuttering severity correlated with an individual's subjective impact of stuttering.

Method:

Speech-language pathologists conducted face-to-face speech assessments with 195 participants (137 males) aged 5–84 years, recruited from a cohort of people with self-reported stuttering. Stuttering severity was rated on a 10-point scale by the participant and by two speech-language pathologists. Participants also completed the Overall Assessment of the Subjective Experience of Stuttering (OASES). Clinician and participant ratings were compared. The association between stuttering severity and the OASES scores was examined.

Results:

There was a strong positive correlation between speech-language pathologist and participant-reported ratings of stuttering severity. Participant-reported stuttering severity correlated weakly with the four OASES domains and with the OASES overall impact score.

Conclusions:

Participants were able to accurately rate their stuttering severity during a speech assessment using a simple one-item question. This finding indicates that self-report stuttering severity is a suitable method for large-scale data collection. Findings also support the collection of self-report subjective experience data using questionnaires, such as the OASES, which add vital information about the participants' experience of stuttering that is not captured by overt speech severity ratings alone.
Robust stabilization of interval fractional‐order plants with an interval time delay by fractional‐order proportional integral derivative controllers
Authors: Ghorbani Majid , Tepljakov Aleksei , Petlenkov Eduard
Published: December 2023

This paper concentrates on presenting a reliable procedure to compute the stabilizing region of fractional‐order proportional integral derivative (FOPID) controllers for interval fractional‐order plants having an interval time delay. An interval fractional‐order plant is defined as a fractional‐order transfer function whose denominator and numerator coefficients are all uncertain and lie in specified intervals. Also, an interval time delay points to a delay term whose value varies in a specific interval. The D‐decomposition technique and the value set concept are employed to determine the stabilizing region of FOPID controllers. In this study, first, a theorem is presented to compute the boundary of the value sets of systems having interval time day. Then, a lemma is provided for robust stability analysis of the given closed‐loop control system. For a convenient use of the paper results, an algorithm is proposed to solve the problem of robustly stabilizing interval fractional‐order plants with an interval time delay using FOPID controllers. Finally, four examples are provided to illustrate the proposed procedure.
Analysis of voltage control using V2G technology to support low voltage distribution networks
Authors: Mattos Marina Martins , Archetti João Antônio G. , Bitencourt Leonardo de A. , Wallberg Alexander , Castellucci Valeria , Dias Bruno Henriques , de Oliveira Janaína G.
Published: December 2023

The decarbonization of the power generation and transport sector encourage the analysis of connection of distributed energy resources (DER), such as electric vehicles (EVs), to the electrical system, as well as the evaluation of their impact on smart cities. A better understanding of the negative impacts on the power systems will lead to propose mitigation measures and eventually revolutionize the way distributed generation works. This paper aims at modelling and evaluating the impact of EVs on a real distribution network. The energy system chosen operates at 60 Hz, 34.5 kV (medium voltage) and 0.208 kV (low voltage) and it is simulated using PSCAD/EMTDC. To reproduce realistic user consumption profiles, dynamic load profiles based on EV owners behaviour have been simulated. The vehicle‐to‐grid (V2G) technology is modelled to mitigate the impacts of high penetration of EVs by supporting the network from undervoltage. The results show the importance of active management in modern power systems, especially considering the increase in DER penetration expected for the coming years. This work shows the benefits of implementing V2G technology while highlighting the challenges involved in a real case.