bluuebunny/crossref_metadata_2025_split huggingface dataset:
Atypical Polycystic Kidney Disease by Imaging
Authors: Pei York , Iliuta Ioan-Andrei , Win Aung Zaw , Lanktree Matthew B. , Lee Seung Heyck , Pourafkari Marina , Nasri Fatemeh , Guiard Elsa , Haghighi Amirreza , He Ning , Ingram Alistair , Quist Crystal , Hillier David , Khalili Korosh 
Published: April 2022

Abstract
Using age- and height-adjusted total kidney volume, the Mayo Clinic Imaging Classification provides a validated approach to assess the risk of chronic kidney disease (CKD) progression in autosomal dominant polycystic kidney disease (ADPKD), but requires excluding patients with atypical imaging patterns, whose clinical characteristics have been poorly defined. We report an analysis of the prevalence, clinical and genetic characteristics of patients with atypical polycystic kidney disease by imaging. Patients from the extended Toronto Genetic Epidemiology Study of Polycystic Kidney Disease recruited between 2016 and 2018 completed a standardized clinical questionnaire, kidney function assessment, genetic testing, and kidney imaging by magnetic resonance or computed tomography. We compared the prevalence, clinical features, genetics, and renal prognosis of atypical versus typical polycystic kidney disease by imaging. Forty-six of the 523 (8.8%) patients displayed atypical polycystic kidney disease by imaging; they were older (55 vs. 43 years; P < 0.001), and less likely to have a family history of ADPKD (26.1% vs. 74.6%; P < 0.001), a detectable PKD1 or PKD2 mutation (9.2% vs. 80.4%; P < 0.001), or progression to CKD stage 3 or stage 5 (P < 0.001). Patients with atypical polycystic kidney disease by imaging represent a distinct prognostic group with a low likelihood of progression to CKD.
The Differences between normal and obese patient handling: Re- structural analysis of two questionnaires
Authors: Heidarimoghadam Rashid , Mosaferchi Saeedeh , Ray Pradip Kumar , Saednia Hamid , Najafi-Ghobadi Khadijeh , Mortezapour Alireza 
Published: April 2022

Abstract
Background
Precise causes of musculoskeletal complaints among nurses are not known well, but many studies have pointed to manual patient handling tasks. Subjective judgment and decision-making process for patient lifting is crucial for gathering data regards patient handling. The aim of this study was to consider reliability and validity and re-structure of two special tools for patient handling’s tasks.
Methods
In this cross- sectional study 249 nurses were fully participated. As recommended by literature for cultural adaptation of instruments, forward/backward translation method was applied. Reliability of the translated version was assessed by Cronbach's alpha coefficient. Validity testing for the two scales was based on content validity index/ratio analysis and also Exploratory Factor Analysis was run to extract latent factors.
Results
Reliability estimated by internal consistency reached a Cronbach's Alpha of above 0.7 for all subscales of two questionnaires. After testing the validity, the final version of questionnaires was remained by 14 and 15 questions respectively.
Conclusions
These instruments evaluated for manual handling of normal and obese patients had acceptable validity and reliability in Iranian Nursing context. So these tools can be used in further studies with the same cultures.
Melatonin improves endometrial receptivity of adenomyosis mice via the NF-κB signaling pathway
Authors: Li Kun-Ming , Guan Xiao-Hong , Liu Dan , Zhou Hong , Dai Chao-Qun , Wang Tao , Fang Yuan , Jia Yan-Ping 
Published: April 2022

Abstract
Background: Adenomyosis is a benign gynecological disorder but has detrimental effect on female fertility of childbearing age. Melatonin is a classic antioxidant and free radical scavenger to protect against tissue damage, and exerts important roles in reproductive systems. The effects of melatonin on endometrial development in adenomyosis remain unclear. This study aimed to explore the function of melatonin on endometrial development in adenomyosis mice and its possible mechanisms. Methods: Inducing an adenomyosis mouse model by oral administration of tamoxifen. 0, 10, 20, 30, 50 mg/kg body weight melatonin were then respectively injected to investigate the effect of melatonin on implantation rates. Quantitative real time polymerase chain reaction (qRT-PCR), western blotting and immunohistochemistry were used to determine the expression of endometrial receptivity markers in endometrium during implantation window. Endometrial mRNA expressions of implantation-associated，oxidative stress-correlated and apoptosis-related genes were analyzed by qRT-PCR. Western blotting was used to explore the mechanism of protective effect of melatonin on endometrial development. Results: 30mg/kg melatonin injection significantly improved the number of implantation sites in an adenomyosis model mice. Adenomyosis adversely effected the development of mouse uterine development and impaired endometrial receptivity. Melatonin administration ameliorated hyper-inflammation state of the endometrium, improved antioxidant capacity and depressed apoptosis of endometrial cells induced by adenomyosis to reduce reproductive damage by suppressing the NF-κB signaling pathway. Conclusion: Melatonin treatment ameliorates impaired endometrial development and endometrial receptivity of adenomyosis mice by improving the microenvironment of endometrium via NF-κB signaling pathway. The current study suggests the potential efficacy of melatonin based adenomyosis therapy.
Advanced Rival Combatant Identification with Hybrid Machine Learning Techniques in war field
Authors: Gundu Srinivasa Rao , Panem Charan arur , J Vijay Laxmi , Surthanis Satheesh 
Published: April 2022

Abstract
This research shows how Hybrid Machine Learning (HML) techniques may be used in real time to identify an Army personal fighting zone or any other specified location in order to reduce safety risks via the detection of an invasion or enemies. Deep Learning (DL) techniques, such as Faster R-CNN, YOLO, and DenseNet, were used to find employees, categorize objects, and detect subtle characteristics in a variety of datasets. Testing showed that a 95% recall rate and a 90% precision rate were possible. This indicates high detection. A cleanness of 85 percent and a correctness of 80 percent were achieved in a real-world construction site application. To some things up: The recommended approach may enhance current safety management methods in conflict zones, borders, and beyond.
Dilute lattice doping of Cu-64 into 2D-nanoplate; its impact on radio-labeling efficiency and stability for target selective PET imaging
Authors: Eom Sairan , Kim Min Hwan , Yoo Ranji , Choi Goeun , Kang Joo Hyun , Lee Yong Jin , Choy Jin-Ho 
Published: April 2022

Abstract
Backgound:
Positron emission tomography (PET) in nuclear medicine provides useful information for tumor diagnosis due to its high sensitivity and quantitativeness on biochemical and physiological changes in in-vivo system. Radioisotope-labeled materials develped for PET imaging still have decisive weekness, since they are low in labeling efficiency and labeling stability.
Results
Quintinite nanoplate (64Cu-QT-NP) isomorphically substituted with 64Cu, as the positron emission tomography (PET) imaging material, was prepared via two-step processes. The 64Cu labeling efficiency of 99% was realized, for the first time, by immobilizing the 64Cu radioisotope directly in the octahedral site of 2 dimensional (2D) quintinite lattice. Furthermore, the 64Cu labeling stability of 64Cu-QT-NPs was also achieved more than ~ 99% in various solutions such as saline, phosphate-buffered saline (PBS), and other biological media (mouse and human serums). In in-vivo xenograft mice model, the passive targeting behavior of 64Cu-QT-NPs into tumor tissue based on enhanced permeability and retention (EPR) effect was also demonstrated by parenteral administration, and successfully visualized using positron emission tomography (PET) scanner. For enhancing the tumor tissue selectivity, the bovine serum albumin (BSA) was coated on 64Cu-QT-NPs to form 64Cu-QT-NPs/BSA, resulting in better colloidal stability and longer blood circulation time, which was eventually evidenced by the 2-fold higher tumor uptake rate when intravenousely injected in an animal model.
Conclusions
The present 64Cu-QT-NPs/BSA with tumor tissue selectivity could be an advanced nano-device for radio-imaging and diagnosis as well.
Ab initio studies on complexes of ozone with diatomic molecules
Authors: Grein Friedrich 
Published: April 2022

Abstract
Møller-Plesset MP2 and coupled cluster CCSD(T) calculations using the aug-cc-pVQZ basis set were performed on structures, energies and harmonic vibrational frequencies of the complexes O3-HF, O3-HCl, O3-OH, O3-H2, O3-N2, O3-CO, O3-O2, O3-F2, O3-Cl2 and O3-FCl. Most complexes have Cs symmetry, with the symmetry plane being the plane of ozone (for the hydrogen bonded O3-HF to O3-OH complexes) or the plane perpendicular to ozone (for most others). Dissociation energies De range from 718 cm-1 to 1137 cm-1 for the hydrogen bonded complexes O3-HCl to O3-HF, and from 200 cm-1 to 477 cm-1 for non-hydrogen bonded complexes from O3-H2 to O3-Cl2. Due to complex formation harmonic vibrational frequencies of the diatomic molecules are red shifted in the hydrogen bonded complexes, from 39 cm-1 for O3-OH to 156 cm-1 for O3-HF. Corresponding infrared intensities increase by a factor of about five.
The clinical efficacy of periodontally accelerated osteogenic orthodontics in patients with bone fenestration and dehiscence: a retrospective study
Authors: Chen Ziling , Zhou Huan , Zhang Kaili , Wang Xu , Zhong Liangqiuyue , Hou Yuxia , Chen Yue 
Published: April 2022

Abstract
Purpose: The objective of the study was to explore the effect of periodontally accelerated osteogenic orthodontics (PAOO) in orthodontic patients with bone dehiscence and fenestration in the anterior alveolar region of the mandible.Methods: A retrospective study was performed in 42 patients with bone dehiscence and fenestrations in the anterior alveolar region of the mandible underwent the PAOO technique. Bleeding index (BI), probing depth (PD), keratinized gingiva width (KGW), gingival recession depth (GRD), and gingival phenotype were recorded and assessed at baseline, postoperative 6 and 12 months. Cone-beam computerized tomography was utilized for bone volume measurement in term of root length (RL), horizontal bone thickness at different levels and vertical bone height at baseline, 6 months and 12 months after the surgery. Results: The sample was composed of a total of 42 patients (22 males and 20 females; mean age, aged 25.6 ± 4.8 years) with 81 teeth showing dehiscence/fenestrations and 36 sites presenting with gingival recessions. There was no significant difference in BI, PD, and KGW (between baseline, postoperative 6 and 12 months) based on the clinical evaluations (P > 0.05). Gingival recession sites demonstrated a significant reduction in the GRD after surgery (P < 0.05). Besides, the proportion of teeth with thick gingival phenotype was increased from 33.61% at baseline to 53.13% at the end of the follow-up. In addition, the bone thickness at mid-root and crestal level was markedly increased compared with the baseline records (P < 0.05), although the increase in apical level was not statistically significant (P > 0.05). Moreover, alveolar bone height was also remarkably increased at postoperative 6 month compared with the baseline records (P < 0.05).Conclusions: Within the limitations of the study, the obtained results show that PAOO technique is beneficial to periodontal conditions in terms of soft and hard tissue augmentation. PAOO procedure may represent a safe and efficient treatment for orthodontic patients with bone dehiscence and fenestration.Trial registration: This study was approved by the ethics committee of stomatological hospital affiliated to Xi'an Jiaotong University (xjkqll[2019]NO.016) and registered in Chinese Clinical Trial Registry (ChiCTR2100053092).
APN deficiency accelerates brain aging via mitochondrial associated neuroinflammation
Authors: He Kaiwu , Nie Lulin , Ali Tahir , Liu Zizhen , Li Weifen , Gao Ruyan , Liu Jianjun , Dai Zhongliang , Xie Yongmei , Zhang Zaijun , Liu Gongping , Dong Ming , Yu Zhi-Jian , Li Shupeng , Yang Xifei 
Published: April 2022

Abstract
A wide spectrum of changes occur in the brain with age, from molecular to morphological aspects, and inflammation accompanied by mitochondria dysfunctions is one of the significant processes and factors associated with age. Adiponectin (APN), an adipokine important in glucose and lipid metabolism, is involved in the aging; however, their roles in brain aging have not been explored adequately. Here, we aimed to mechanistically illuminate the causal relation of brain aging with APN deficiency via multiple biochemical and pharmacology approaches while using APN KO mice, primary microglia, and BV2 cells. Initially, we found that declined APN levels in aged subjects correlated with dysregulated cytokine levels in human individuals. Interestingly, APN KO mice exhibited accelerated aging accompanied by learning and memory deficits, anxiety-like behaviors, neuroinflammation, and immunosenescence. APN deficient mice displayed aggravated mitochondrial dysfunction and HDAC1 upregulation. Accordingly, adiponectin receptor agonist AdipoRon could alleviate the mitochondrial deficits and aging markers induced by rotenone or antimycin A in BV2 cells. Further results indicated that HDAC1 antagonism by Cpd 60 reduced the mitochondrial dysfunction and improved aging-related inflammation, as validated in D-galactose treated APN KO mice. Altogether, these findings indicate that APN is a critical regulator of aging by preventing neuroinflammation associated with mitochondrial impairment of the brain via HDAC1 signaling.
MTGPVM: Adaptive Active Learning Assisted Virtual Metrology Modeling in Chemical Vapor Deposition Systems
Authors: Ji Shanling , Dai Min , Wen Haiying , Zhang Hui , Zhang Zhisheng , Xia Zhijie , Zhu Jianxiong 
Published: April 2022

Abstract
Virtual metrology estimates the quality using processing variables collected from the multi-sensor system and enhances the detection efficiency compared with manual real metrology. However, the multitask learning problem and few labeled sets from available real metrology are challenges for virtual metrology modeling. Accordingly, this paper presents the improved method to combine multi-task Gaussian process and adaptive active learning for the application of virtual metrology in intelligent manufacturing. Initially, a multitask Gaussian processes-based virtual metrology (MTGPVM) model is built by combining the coregionalization matrix and two basic kernel functions and sharing latent correlation characteristics among tasks. Furthermore, three query functions utilizing uncertain sampling and diversity sampling are proposed for the active learning of multitask virtual metrology. Additionally, the adaptive active learning algorithm is proposed for virtual metrology model training with the few labeled data of real metrology. Finally, the case study on the proposed methods is carried out based on the coating processing of solar silicon wafers with the technology of plasma-enhanced chemical vapor deposition (PECVD). The experimental results indicate that the MTGPVM model is based on the combination of outperformed Martern kernel and linear kernel other multitask regression models, the proposed adaptive active learning algorithm prompted the learning accuracy of MTGPVM model with a small amount of labeled training data.
Acute effect of bronchodilator on intrathoracic airway wall compliance in COPD patients
Authors: Pini Laura , Ziletti Giulia Claudia , Ciarfaglia Manuela , Giordani Jordan , Tantucci Claudio 
Published: April 2022

Abstract
Purpose
In patients with chronic obstructive pulmonary disorder (COPD), the bronchial responsiveness after acute administration of short-acting bronchodilators is conventionally assessed by measuring the improvement of forced expiratory volume in the first second (FEV1) during a maximal forced expiratory maneuver. The study aimed to measure the variation of intrathoracic airway wall compliance (AWC) after acute administration of beta-2 agonist with rapid onset of action in COPD patients since this might influence the final modification of airway caliber during maximal expiratory effort and the resulting bronchodilation as inferred by FEV1 changes.
Methods
In a group of 10 patients suffering from COPD, intrathoracic AWC was measured at middle (50% of Forced Vital Capacity (FVC) and low (75% of FVC) lung volumes using the interrupter method during forced expiratory maneuver in basal conditions and after acute inhalation of salbutamol (400 mcg by MDI). Ten healthy subjects were examined similarly as a control group.
Results
Lower values of baseline intrathoracic AWC at both lung volumes were found in COPD patients (1.72 ± 0.20 ml/cmH2O and 1.08 ± 0.20 ml/cmH2O, respectively) as compared to controls (2.28 ± 0.27 ml/cmH2O and 1.44 ± 0.22 ml/cmH2O, respectively) (p < 0.001). In COPD patients, AWC increased significantly at both lung volumes after salbutamol, amounting to 1.81 ± 0.38 ml/cmH2O and 1.31 ± 0.39 ml/cmH2O, respectively (p < 0.01), but the relative change was not different from that observed in controls.
Conclusions
In COPD patients, AWC is reduced compared to controls, but after bronchodilator, the intrathoracic airways become more compliant. The consequent increase of their collapsibility under high positive pleural pressure could limit the airway caliber improvement seen after bronchodilator, as assessed by the FEV1 changes during the forced expiratory maneuver, underestimating the effective bronchodilation achieved in these patients.
Optical and fractal properties of sputter deposited TiO2 films
Authors: Shakoury Reza , Nahvifard Elaheh , Arman Ali , Astinchap Bandar , Jurečka Stanislav , Mardani Mohsen , Rad Ghasem Amraee , Mirzaei Saeed 
Published: April 2022

Abstract
In this study, TiO2 films were deposited on the glass and silicon substrates at different pressures using a DC magnetron sputtering system. Surface topography, fractality, particle size, transparency spectra, and roughness of the deposited films were analyzed through atomic force microscopy (AFM) in non-contact mode and spectrophotometer (UV-visible) analysis. The surface morphology, absorption spectra, transparency, and conductivity of the films were studied through analytical and mathematical relations, including fractal and multifractal dimensions of the films. The pressure influenced the particle size leading to the changes in the surface roughness and fractality of the films. When the working pressure increased above 8×10− 3 Torr, the nonuniformity in the distribution of surface properties and multifractality increased. Additionally, using optical data and the Tauc ́s method, their energy gap was calculated. It was revealed that the TiO2 coatings have a relatively large energy gap of ~ 4eV, probably due to their small grain size.
Investigating Energy Consumption in Social Aware Opportunistic Networks with High Data Traffic
Authors: Soares Diogo , Santos Gilmara , Carvalho Celso , Mota Edjair 
Published: April 2022

Abstract
In Opportunistic Networks (OppNets), mobility of and contact between nodes are explored to create communication opportunities, exchange messages, and information. In the era of data sharing, the data traffic from messages may be higher with nodes exchanging text messages, media or streaming. The use of social aspects to find better relay nodes has become popular in forwarding strategies to increase network performance. However, due to resource constraints such as energy level and buffer space, social aspects applied to forwarding strategies may lead to unexpected behaviors or even harvest more energy from the chosen relay nodes. This work designed a set of experiments to investigate the relationship between energy consumption and social aspects. It is evaluated three trace-based mobility models with increasing contact densities. In addition, it is implemented and collected some social aspects from the investigated scenarios: centrality, betweenness, and local clustering coefficient (LCC). The results presented that the mean contact time of node has more correlation to energy consumption than social aspects (Pearson correlation= 0.99792) for the mobility traces evaluated. Further, when the mean contact time is extensive, the energy consumption increases from 210% to the more sparse to the denser scenario. We also verified that when the conditions for message exchanges are better, i.e., when contact time is enough to exchange all messages, the correlation between centrality and energy consumption is higher. Finally, with the extensive contact time, the energy of popular nodes was entirely harvested in our densest scenario.
Transgenic TDP-43 and endogenous TDP-1 Caenorhabditis elegans ALS models show motor deficits and age-dependent neurodegeneration
Authors: Parker J. Alex , Duhaime Sarah , Bretonneau Constantin 
Published: April 2022

Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by a progressive and selective loss of motor neurons. ALS is incurable and there are no effective treatments available for people living with the disease. About 90% of the cases are sporadic whereas 10% are familial, and patients usually die two to five years after symptom onset. Many genes are associated with ALS, including mutations in the gene encoding TDP-43. We developed a transgenic Caenorhabditis elegans model expressing human mutant TDP-43(Q331K) in GABAergic motor neurons. We also obtained by mutagenesis and CRISPR-Cas9 gene-editing physiologically accurate models based on mutations in tdp-1, the C. elegans orthologue of TARDBP. Our results show that both transgenic TDP-43 and endogenous TDP-1 models recapitulate key aspects of ALS such as motor deficits and age-dependent neurodegeneration causing paralysis. However, only the TDP-43 mutation had a negative effect on lifespan. These models provide different physiological expression of mutant proteins and thus phenotypes of varying intensity levels. They will be useful tools to elucidate new pathogenic mechanisms of ALS as well as being suitable for drug discovery and therapeutic development.
Optimization, kinetic and phenomenological modeling of ultrasound- assisted extraction process of bioactive compounds from raspberries (Rubus idaeus L.)
Authors: Teixeira Bárbara Avancini , Stringheta Paulo César , Vidigal Márcia Cristina Teixeira Ribeiro , Júnior Bruno de Castro Leite , Vieira Érica Nascif Rufino , Martins Eliane Maurício Furtado 
Published: April 2022

Abstract
Bioactive compounds are of considerable interest due to their antioxidant properties and potential beneficial health effects. Thus, this study aimed to optimize and model the ultrasound-assisted extraction process (UAE) of response variables total anthocyanins (TA) and total phenolic content (TPC) from raspberries, and to compare the optimized extraction process with the conventional one. The variables used were time (5 to 75 min), temperature (30 to 70°C), and solid: liquid ratio (1:5 to 1:15 m/v), applied to the Box-Behnken Design (BBD). The optimal condition of the UAE process occurs at a temperature of 70°C and a solid: liquid ratio of 1:12.5 m/v, for both response variables. The optimal time for extraction of TA occurs in 22.5 min predicting the content of 23.181 mg/100 g of the fruit and for TPC occurs in 57.5 min predicting the content of 156.30 mg GAE/100 g of the fruit. On validation of the optimized conditions, less than a 5% difference ware found between the predicted and experimental values (24,131 mg/100 g of fruit for TA, and 149.226 mg GAE/100 g of fruit for TPC). When comparing the optimized UAE with the conventional extraction, it wares observed that UAE increased (p < 0.05) the extraction of TA content by 18.28% and TPC by 28.88%. The process time reduction from 24h in conventional extraction to less than 1h in optimized UAE stands out. Thus, the study indicates that the UAE process is an efficient methodology for recovering bioactive compounds from raspberries.