bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation of the Ductile Machining Mode of Silicon
Authors: Klippel Hagen , Süssmaier Stefan , Röthlin Matthias , Afrasiabi Mohamadreza , Pala Uygar , Wegener Konrad 
Published: March 2021

Abstract
Diamond wire sawing has been developed to reduce the cutting loss when cutting silicon wafers from ingots. The surface of silicon solar cells must be flawless in order to achieve the highest possible efficiency. However, thesurface is damaged during sawing. The extent of the damage depends primarily on the material removal mode. Undercertain conditions the generally brittle material can be machined in ductile mode, whereby considerably fewer cracksoccur in the surface than with brittle material removal. In the presented paper a numerical model is developed in orderto support the optimization of the machining process regarding the transition between ductile and brittle materialremoval. The simulations are performed with an GPUaccelerated in–house developed code using mesh-free methodswhich easily handle large deformations while classic methods like FEM would require intensive remeshing. Thesimulation results are compared with results obtained from single grain scratch experiments.
Effect of peer-assisted learning on enhancing clinical research skills among medical students: students’ and tutors’ perceptions
Authors: Jawhari Abdulkarim A. , Safhi Maha A. , Magadmi Mawadah M. , Alobaidi Rajwa H. , Alghamdi Khaled M. , Basyouni Reem N. , Saggaf Omar M. , Yasawy Murad A. , Magadmi Rania M. 
Published: March 2021

Abstract
Background

Research methodology is an essential part of evidence-based medicine. Many educational programs include clinical research methodology within their curriculum. Moreover, students’ preferences for learning methods are different to before, as they now prefer alternative methods, such as peer teaching. Peer-assisted learning enhances students’ tutoring skills. Thus, the current study aimed to evaluate the effect of peer teaching on enhancing clinical research skills.
Methods

Peer-assisted learning was evaluated during a four-week online research methodology course designed for medical students at King Abdulaziz University. A total of 121 students’ and 38 tutors’ attitudes and perceptions of peer teaching were evaluated using a self-administered questionnaire. The effectiveness of peer teaching was assessed using pre- and post-course knowledge tests. Chi-square used to assess the association of qualitative data and Mann-Whitney U test and Wilcoxon rank test are used as nonparametric test for the variables that are not normally distributed.
Results

The post-course knowledge score was significantly higher than the pre-test score. Students had a positive perception of peer-assisted learning. Over 90% of the students preferred peer-assisted learning to traditional teaching. Similarly, the tutors had significantly positive perceptions of peer-assisted teaching. Younger students who had higher post-test mean knowledge scores had a good perception of peer teaching.
Conclusions

The current study demonstrates students' and tutors' positive perceptions of peer-assisted learning as well as the effectiveness of peer learning. Medical schools should pay more attention to students and prepare them for peer-teacher roles.
Educational Behaviors of Pregnant Women in the Bronx During Zika’s International Emerging Epidemic: “First Mom … and then I’d Google. And then my Doctor”
Authors: Rodriguez Miguel , Danvers Antoinette A. , Sanabia Carolina , Dolan Siobhan M. 
Published: March 2021

Abstract
BackgroundThe objective of the study was to understand how pregnant women learned about Zika infection and to identify what sources of information were likely to influence them during their pregnancy.MethodsWe conducted 13 semi-structed interviews in English and Spanish with women receiving prenatal care who were tested for Zika virus infection. We analyzed the qualitative data using grounded theory.ResultsPregnant women in the Bronx learned about Zika from family, television, the internet and their doctor. Informational sources played different roles. Television, specifically Spanish language networks, was often the initial source of information. Women searched the internet for additional information about Zika. Later, they engaged in further discussions with their healthcare providers.ConclusionsTelevision played an important role in providing awareness about Zika to pregnant women in the Bronx, but that information was incomplete. The internet and healthcare providers were sources of more complete information and are likely the most influential. Efforts to educate pregnant women about emerging infectious diseases will benefit from using a variety of approaches including television messages that promote public awareness followed up by reliable information via the internet and healthcare providers.
Comparison of translabial three-dimensional ultrasonography and magnetic resonance imaging for the grading of levator ani defects
Authors: Luo Yijia , Yang Linxin , Lin Ning , Fan Zhihua , Dong Chenshan 
Published: March 2021

Abstract
Purpose: Levator ani defect (LAD) closely correlates with pelvic organ prolapse. This study aimed to compare the LAD grading between 3-dimensional ultrasonography (3D-US) and magnetic resonance imaging (MRI) and investigate the reasons for the difference using 3-dimensional pelvic models. Methods: Seventy-two Chinese women who were to undergo repair surgery were assessed by the prolapse staging, 3D-US and MRI. LAD was graded according to the grading systems described with regard to 3D-US (Dietz et al.) and MRI (Delancey et al.) The puborectalis attachment width and the puborectalis thickness were measured on the reconstructed pelvic models offline within the software. The results were analyzed using the weighted kappa and the ANOVA test. Results: The grading systems used for 3D-US and MRI showed the good agreement (k=0.75), whereas the consensus of the extent (ie, partial or complete) of tears showed the moderate agreement (k=0.56). Additionally, iliococcygeus tears detected by MRI (n=3) accompanied with complete puborectalis tears on the same side. The averaged width of intact puborectalis attachment was 13.75±3.43mm. The width of intact puborectalis attachment was remarkably higher than that of the injured attachment (P=.005). The averaged puborectalis thickness was 9.85±2.13mm. Conclusions: Comparison of 3D-US and MRI showed the good agreement on LAD grading. The moderate agreement in assessing partial or complete tears resulted from the grading criteria of 3D-US. The morphological characteristics of puborectalis assisted in identifying complete tears.
Exploring competencies of military nurses in general hospitals in China: A qualitative content analysis
Authors: Ma Huijuan , Lin Li , Zhang Suofei , Lei Lei , Huang Jinyu , Lu Fang , Luo Yu 
Published: March 2021

Abstract
Background: Military nurses should possess the competency to provide quality care in both clinical and military nursing contexts. This study aimed to identify the competencies of military nurses in general hospitals. Methods: A qualitative design based on the content analysis approach was employed. We purposefully sampled and interviewed 21 nurses in general hospitals in China.Results: The data analysis revealed 40 competencies, which were categorised into four main categories according to the onion model. These categories were motive (mission commitment), traits (perseverance, flexibility, etc.), self-identity of dual roles (obedience, empathy, etc.), as well as knowledge, skills and abilities (clinical and military nursing knowledge and skills, basic nursing ability, professional development ability, leadership and management ability).Conclusion: Existing knowledge of competencies of military nurses in general hospitals is limited. A detailed exploration of this topic can provide guidance for recruitment, competency assessment, and competency building.
Sound Trapping in an Open Resonator
Authors: Huang Lujun , Chiang Yan Kei , Huang Sibo , Shen Chen , Deng Fu , Cheng Yi , Jia Bin , Li Yong , Powell David , Miroshnichenko Andrey 
Published: March 2021

Abstract
The ability of extreme sound energy confinement with high-quality factor (Q-factor) resonance is of vital importance for acoustic devices requiring high intensity and hypersensitivity in biological ultrasonics, enhanced collimated sound emission (i.e. sound laser) and high-resolution sensing. However, structures reported so far demonstrated a limited quality factor (Q-factor) of acoustic resonances, up to several tens in an open resonator. The emergence of bound states in the continuum (BIC) makes it possible to realize high-Q factor acoustic modes. Here, we report the theoretical design and experimental demonstration of acoustic BICs supported by a single open resonator. We predicted that such an open acoustic resonator could simultaneously support three types of BICs, including symmetry protected BIC, Friedrich-Wintgen BIC induced by mode interference, as well as a new kind of BIC: mirror-symmetry induced BIC. We also experimentally demonstrated the existence of all three types of BIC with Q-factor up to one order of magnitude greater than the highest Q-factor reported in an open resonator.
Prediction of Chemoresistance Trait of Cancer Cell Lines using Machine Learning Algorithms and Systems Biology Analysis
Authors: Ataei Atousa , Majidi Niloufar Seyed , Zahiri Javad , Rostami Mehrdad , Arab Seyed Shahriar , Rizvanov Albert A. 
Published: March 2021

Abstract
Most of the current cancer treatment approaches are invasive along with a broad spectrum of side effects. Furthermore, cancer drug resistance known as chemoresistance is a huge obstacle during treatment. This study aims to predict the resistance of several cancer cell-lines to a drug known as Cisplatin. In this papers the NCBI GEO database was used to obtain data and then the harvested data was normalized and its batch effects were corrected by the Combat software. In order to select the appropriate features for machine learning, the feature selection/reduction was performed based on the Fisher Score method. Six different algorithms were then used as machine learning algorithms to detect Cisplatin resistant and sensitive samples in cancer cell lines. Moreover, Differentially Expressed Genes (DEGs) between all the sensitive and resistance samples were harvested. The selected genes were enriched in biological pathways by the enrichr database. Topological analysis was then performed on the constructed networks using Cytoscape software. Finally, the biological description of the output genes from the performed analyses was investigated through literature review. Among the six classifiers which were trained to distinguish between cisplatin resistance samples and the sensitive ones, the KNN and the Naïve Bayes algorithms were proposed as the most convenient machines according to some calculated measures. Furthermore, the results of the systems biology analysis determined several potential chemoresistance genes among which PTGER3, YWHAH, CTNNB1, ANKRD50, EDNRB, ACSL6, IFNG and, CTNNB1 are topologically more important than others. These predictions pave the way for further experimental researches.
De novo Biosynthesis of Tyrosol Acetate and Hydroxytyrosol Acetate from Glucose in Engineered Escherichia Coli
Authors: Guo Daoyi , Fu Xiao , Sun Yue , Li Xun , Pan Hong 
Published: March 2021

Abstract
Background: Tyrosol and hydroxytyrosol derived from virgin olive oil and olives extract, have wide applications both as functional food components and as nutraceuticals. However, they have low bioavailability due to their low absorption and high metabolism in human liver and small intestine. Acetylation of tyrosol and hydroxytyrosol can effectively improve their bioavailability and thus increase their potential use in the food and cosmeceutical industries. There is no report on the bioproductin of tyrosol acetate and hydroxytyrosol acetate so far. Thus, it is of great significance to develop microbial cell factories for achieving tyrosol acetate or hydroxytyrosol acetate biosynthesis.Results: In this study, two de novo biosynthetic pathways for the production of tyrosol acetate and hydroxytyrosol acetate were constructed in Escherichia coli. First, an engineered E. coli that allows production of tyrosol from simple carbon sources was established. Four aldehyde reductases were compared, and it was found that yeaE is the best aldehyde reductase for tyrosol accumulation. Subsequently, the pathway was extended for tyrosol acetate production by further overexpression of alcohol acetyltransferase ATF1 for the conversion of tyrosol to tyrosol acetate. Finally, the pathway was further extended for hydroxytyrosol acetate production by overexpression of 4-hydroxyphenylacetate 3-hydroxylase HpaBC.Conclusion: We have successfully established the artificial biosynthetic pathway of tyrosol acetate and hydroxytyrosol acetate from fermentable sugars and demonstrated for the first time the direct fermentative production of tyrosol acetate and hydroxytyrosol acetate from glucose in engineered E. coli
Age-stratified Analysis of Associations Between Participant’s Characteristics and NAFLD
Authors: Naqvi Syed H. , Nunes Anthony P. 
Published: March 2021

Abstract
Background: Nonalcoholic fatty liver disease (NAFLD) is highly prevalent and a leading cause of liver transplantation. In clinical settings, diagnosis is often inferred based on patient attributes and generalized algorithms that haven’t been tailored to patients’ age. This study aims to understand age-dependent associations between NAFLD and patient characteristics. Methods: Subjects were identified from the National Health and Nutrition Examination Survey (NHANES) 2007-2016. NAFLD status was established through the U.S. Fatty Liver Index in the absence of excessive alcohol consumption and viral etiology. Descriptive patient attributes' distributions are reported relying on the mean and standard deviation for continuous variables and proportions for categorical variables. Prevalence estimates and prevalence ratios for NAFLD are provided in the following age stratifications: 18 and younger, 19-49, 50-64, 65-74, and 75+. Results: A total of 4,560 NHANES participants from 2007-2016 were included, with a mean age of 42.9. Prevalence ratios of NAFLD in the context of clinical/demographic characteristics varied between age groups. The NAFLD prevalence ratio for Mexican Americans compared to Non-Hispanic White was 3.44 in respondents 18 years old or younger (95%CI: 2.48-4.77) and 1.60 in respondents 75 or older (95%CI: 1.30-1.97). The magnitude of the association between albumin and NAFLD was negative. It ranged from a prevalence ratio of 0.32 (0.20 – 0.51) for respondents under 19 years of age to 1.15 (0.86-1.53) over the age of 74. Conclusion: The significant differences between participant characteristics and NAFLD within different age groups suggest that age plays an essential role in the magnitude of the association between risk factors and NAFLD. This study highlights that the accuracy of a NAFLD diagnosis in the absence of imaging and histological conformation may depend on the patients' age. Additional work should evaluate the need for diagnostic and management guidelines formally tailored to patients’ age.
Research on Dual-Channel and Dual-core Plasmonic&nbsp;Sensor Based Photonic Crystal Fiber for Refractive Index Sensing
Authors: Jiao Shenxi , Ren Xiaolei , Yang Hanrui , Xu Shibo 
Published: March 2021

Abstract
A dual-core photonic crystal fiber (PCF) with dual-channel based surface plasmon resonance (SPR) sensor is designed. The silver and gold films are severally coated in the inner walls of two large ring detection channels to excite the plasmon modes, which can make the designed sensor achieve the dual-channel sensing. The effect of structure parameters on the sensing properties and loss spectrum is numerically analyzed by finite element method (FEM). When the analyte refractive index (RI) changes from 1.340 to 1.360, the average spectral sensitivities of 4280 and 3940 nm/RIU are obtained for the left and right channels, corresponding to the RI resolutions of 2.34×10-5 and 2.54×10-5 RIU, respectively. The simulation results suggest that the designed dual-channel sensor can realize highly sensitive detection of two analytes simultaneously, which has a wide application in the fields of biomedical analysis and environmental monitoring.
The Intervening Domain Is Required For DNA-binding and Functional Identity of Plant MADS Transcription Factors
Authors: Lai Xuelei , Vega-Leon Rosario , Hugouvieux Veronique , Blanc-Mathieu Romain , Wal Froukje van der , Lucas Jeremy , Silva Catarina , Jourdain Agnes , Muino Jose , Nanao Max , Immink Richard , Kaufmann Kerstin , Parcy Francois , Smaczniak Cezary , Zubieta Chloe 
Published: March 2021

Abstract
The MADS transcription factors (TF) are an ancient protein family with a high degree of sequence identity that bind almost identical DNA sequences across all eukaryotic kingdoms of life, yet fulfill dramatically different physiological roles. In plants, the family is divided into two main lineages, type I and II, based on sequence conservation of the DNA-binding MADS-box domain (M domain) with yeast and animal M domains. Here, we demonstrate that DNA binding in both lineages absolutely requires a short amino acid sequence C-terminal to the M domain called the Intervening domain (I domain) in type II MADS. Structural elucidation of the MI domains from the floral regulator, SEPALLATA3 (SEP3), shows a highly conserved MADS-box fold with the I domain forming an alpha helix and acting to stabilize the M domain. Based on secondary structure prediction, sequences fulfilling the same function as the SEP3 I domain can be found in both lineages of plant MADS TFs, suggesting the I domain is a conserved and required part of the DNA-binding domain. Using the floral organ identity MADS TFs, SEP3, APETALA1 (AP1) and AGAMOUS (AG), domain swapping demonstrate that the I domain alters DNA-binding specificity based on seq-DAP-seq experiments. Yeast 2-hybrid experiments further revealed the role of the I domain in dimerization specificity. Surprisingly, introducing AG carrying the I domain of AP1 in the Arabidopsis ap1 mutant, resulted in a high degree of complementation and restoration of first and second whorl organs. Taken together, these data demonstrate that the I domain acts both as an integral part of the DNA-binding domain and strongly contributes to the functional identity of the MADS TF.
AI-based prediction model for the risk of diabetic kidney disease in patients with type 2 diabetes mellitus
Authors: Zhang Ning , Fan Rui , Ke Jing , Cui Qinghua , ZHAO Dong 
Published: March 2021

Abstract
BackgroundMicroalbuminuria is the main characteristic of Diabetic kidney disease (DKD), but it fluctuates greatly under the influence of blood glucose. Our aim was to establish some common clinical variables which could be easily collected to predict the risk of DKD in patients with type 2 diabetes. Methods and resultsWe build an artificial intelligence (AI) model to quantitively predict the risk of DKD based on the biomedical parameters from 1239 patients. An information entropy-based feature selection method was applied to screen out the risk factors of DKD. The dataset was divided with 4/5 into the training set and 1/5 into the test set. By using the selected risk factors, 5-fold cross-validation is applied to train the prediction model and it finally got AUC of 0.72 and 0.71 in the training set and test set respectively. In addition, we provide a method of calculating risk factors’ contribution for individuals to provide personalized guidance for treatment. We set up web-based application available on http://www.cuilab.cn/dkd for self-check and early warning. ConclusionsWe establish a feasible prediction model for DKD and suggest the degree of risk contribution of each indicator for each individual, which has certain clinical significance for early intervention and prevention.
Preliminary results using PET/MR in glioblastoma patients treated with regorafenib: an 18F-FET and DWI-ADC comparison
Authors: Spimpolo Alessandro , Lombardi Giuseppe , Berti Sara , Campi Cristina , Anglani Maria Giulia , Simeone Rossella , Evangelista Laura , Causin Francesco , Zorzi Giovanni , Gorgoni Giancarlo , Caccese Mario , Padovan Marta , Zagonel Vittorina , Cecchin Diego 
Published: March 2021

Abstract
Introduction: The use of regorafenib in recurrent glioblastoma patients has been recently approved by the Italian Medicines Agency (AIFA) and added to the National Comprehensive Cancer Network (NCCN) 2020 guidelines as a preferred regimen. Given its complex effects at the molecular level, the most appropriate imaging tools to assess early response to treatment is still a matter of debate. DWI and 18F–FET PET are promising methodologies providing additional information to the currently used RANO criteria. The aim of this study was to evaluate the variations in DWI/ADC- and 18F-FET PET-derived parameters in patients who underwent PET/MR at both baseline and soon after starting regorafenib. Method: We retrospectively selected 16 consecutive GBM patients who underwent 18F–FET PET/MR before and after two cycles of regorafenib. Patients were sorted into stable (SD) or progressive disease (PD) categories in accordance with RANO criteria. We were also able to analyze 4 SD patients who underwent a third PET/MR after another 4 cycles of regorafenib. 18F–FET uptake greater than 1.6 times the mean background activity was used to define an area to be superimposed on an ADC map at baseline and soon after treatment. A number of metrics were then derived and compared. Result: The average increases in FET and ADC pathological volumes were higher in PD than in SD patients, although in neither case did the difference reach significance. However, when the percentage difference in FET volumes was plotted against the corresponding percentage difference in ADC, a correlation was observed (R = 0.54). Patients with a twofold increase in FET after regorafenib showed a significantly higher increase in ADC pathological volume than the remaining subjects (p = 0.0023). Conclusion: In recurrent glioblastoma patients treated with regorafenib, 18F-FET and ADC metrics, being obtained from completely different measures, could serve as semi-quantitative independent biomarkers of response to treatment. These promising parameters should be tested in a larger cohort of glioblastoma patients treated with regorafenib.
Up-regulation of miR-499a-5p decreases cerebral ischemia/reperfusion injury by targeting PDCD4
Authors: Shan Weifeng , Ge Huifeng , Chen Bingquan , Huang Linger , Zhu Shaojun , Zhou Yanfeng 
Published: March 2021

Abstract
MiR-499a-5p was significantly down-regulated in degenerative tissues and correlated with apoptosis. Nonetheless, the biological function of miR-499a-5p in acute ischemic stroke has been still unclear. In this study, we found the plasma levels of miR-499a-5p were significantly down-regulated in 64 ischemic stroke patients and negatively correlated with the National Institutes of Health Stroke Scale score. Then, we constructed cerebral ischemia/reperfusion (I/R) injury in rats after middle cerebral artery occlusion and subsequent reperfusion and oxygen-glucose deprivation and reoxygenation (OGD/R) treated SH-SY5Y cell model. Transfection with miR-499a-5p mimic was accomplished by intracerebroventricular injection in the in vivo I/R injury model. We further found miR-499a-5p overexpression decreased infarct volumes and cell apoptosis in the in vivo I/R stroke model using TTC and TUNEL staining. PDCD4 was a direct target of miR-499a-5p by luciferase report assay and western blotting. Knockdown of PDCD4 reduced the infarct damage and cortical neuron apoptosis caused by I/R injury. MiR-499a-5p exerted neuroprotective roles mainly through inhibiting PDCD4-mediated apoptosis by CCK-8 assay, LDH release assay and flow cytometry analysis. These findings suggest that miR-499a-5p might represent a novel target that regulates brain injury by inhibiting PDCD4-mediating apoptosis.