Exploring Genomic Differences between a Pair of <i>Vitis vinifera</i> Clones Using WGS Data: A Preliminary Study by Daniela Araya-Ortega, Felipe Gainza-Cortés, Gonzalo Riadi

“…Despite the presence of these variations within genes, none was found to have a disruptive effect on protein function. By comparing our results with those of previous studies, we discuss issues pertaining to clone differentiation. …”
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Exploring the association between consumption of different types of beverages and erectile dysfunction in US men: evidence from NHANES 2003–2004 data by Liwei Wu, Bing Li, Hang Zhou, Xiaoqiang Liu

“…Background The aim of this study was to examine the relationship between the type/frequency of consuming beverages and ED among men in America.Methods We used data on erectile function and the frequency of beverage consumption from the National Health and Nutrition Examination Survey (NHANES) 2003–2004. …”
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<i>Z</i>–<i>R</i> Relationships for Different Precipitation Types and Events from Parsivel Disdrometer Data in Warsaw, Poland by Mariusz Paweł Barszcz, Ewa Kaznowska

“…In this study, the relationship between radar reflectivity and rain rate (<i>Z–R</i>) was investigated. The analysis was conducted using data collected by the OTT Parsivel¹ disdrometer during the periods 2012–2014 and 2019–2025 in Warsaw, Poland. …”
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PRIORITIES IN CONCEPT OF CARDIOVASCULAR RISK FACTORS IN IRRADIATED PATIENTS AT DISTANT PERIOD AFTER CHERNOBYL NUCLEAR DISASTER BASED ON PROSPECTIVE COHORT DATA by R. G. Oganov, V. S. Sherashov, N. V. Sherashova, M. V. Sherashova, S. K. Kukushkin, O. G. Rudakova, E. A. Zhavoronkova

“…Totally 267 variables were included in the analysis.Results. Spectrum of active cardiovascular risk factors in cohort of irradiated patients was entirely different from this in control patients. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The biological functions of these genes were investigated through Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), the Human Protein Atlas (HPA), and Gene Set Enrichment Analysis (GSEA). …”
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“It's very important that you measure throughout that journey…”: patient perspectives towards quality-of-life data collection following haematopoietic cell transplant by Gemma Pugh, Lauren Young, Christina Yiallouridou, Dawn Hart, Karen Dean, Robert Danby

“…The purpose of this qualitative study was to explore patients’ opinions on what QoL data should be collected post-transplant, when this data should be collected, the use of this data beyond research, and how this data should be captured. …”
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Effects of azithromycin in young adults with cystic fibrosis: a protocol for emulating a published randomised controlled trial using registry data by Bin Huang, Rhonda Szczesniak, Lutz Naehrlich, Freddy Frost, Gwyneth Davies, Sanja Stanojevic, Susan Charman, Nicole Mayer-Hamblett, Emily Granger, Alex Gifford, Josh Ostrenga, Jonathan Todd, Susan Christine Charman, Elizabeth Cromwell, Nicole Mayer Hamblett, Ruth Keogh, Josh Osttrenga

“…We aim to emulate an existing trial in CF and assess to what extent the results from the trial can be replicated using registry data.Methods and analysis The target trial is a published randomised controlled trial which found evidence for beneficial effects of azithromycin use on lung function in young adults with CF. …”
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Cradle-to-gate life cycle assessment of hemp utilization for biocomposite pellet production: A case study with data quality assurance process by Niloofar Akbarian-Saravi, Taraneh Sowlati, Abbas S. Milani

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The Requirements and Development Potential of Interdisciplinary Digital Health Data Exchange in Mobile Nursing and Care Settings in German-Speaking Countries: Delphi Study by Verena Kollmann, Nathalie Traugott, Susanne Hensely-Schinkinger, Doris Zeidler, Elisabeth Haslinger-Baumann

“…ConclusionsExperts in the DACHL region broadly agreed on the functional and structural key requirements for effective digital data exchange in mobile care. …”
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Validation of type 2 diabetes subgroups by simple clinical parameters: a retrospective cohort study of NHANES data from 1999 to 2014 by Jing Xie, Yong Li, Yun Liu, Junjie Wang, Jie Hu, Hua Shao, Tao Shan, Shenqi Jing, Yaxiang Shi, Ruochen Huang, Naifeng Liu

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Incorporating Non-Coding Annotations into Rare Variant Analysis. by Tom G Richardson, Colin Campbell, Nicholas J Timpson, Tom R Gaunt

“…<h4>Methods & results</h4>We conducted a candidate gene analysis using the UK10K sequence and lipids data, filtering according to functional annotations using the resource CADD (Combined Annotation-Dependent Depletion) and contrasting results with 'nonsynonymous' and 'loss of function' consequence analyses. …”
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Health status and risk profiles for brain aging of rural‐dwelling older adults: Data from the interdisciplinary baseline assessments in MIND‐China by Yongxiang Wang, Xiaolei Han, Xianda Zhang, Zhonglin Zhang, Lin Cong, Shi Tang, Tingting Hou, Cuicui Liu, Xiaojuan Han, Qinghua Zhang, Jianli Feng, Ling Yin, Lin Song, Yi Dong, Rui Liu, Yuanjing Li, Tiia Ngandu, Miia Kivipelto, Heather Snyder, Maria Carrillo, Jonas Persson, Laura Fratiglioni, Lenore J Launer, Jianping Jia, Yifeng Du, Chengxuan Qiu

“…Discussion Comprehensive baseline assessments of participants in MIND‐China provide extremely valuable data sources for interdisciplinary research into the complex relationships of aging, health, brain aging, and functional consequences among older adults living in the rural communities. …”
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Automated recognition and sorting of recycled textiles for sustainable fashion by Zlatin Zlatev, Julieta Ilieva

“…It has been shown that the accuracy of textile fiber classification does not depend on the type of separation function of the classifier used. This accuracy depends on the spectral characteristics used, the method for reducing the volume of data, and the type of classifier. …”
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Simulation and Quantitative Analysis of Spatial Centromere Distribution Patterns by Adib Keikhosravi, Krishnendu Guin, Gianluca Pegoraro, Tom Misteli

“…We found that Ripley’s K function has the highest accuracy with minimal sensitivity to variations in the number of centromeres, making it the most suitable metric for measuring centromere distributions. …”
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Transposon-directed insertion-site sequencing (TraDIS) analysis of Enterococcus faecium using nanopore sequencing and a WebAssembly analysis platform by Alexandra L. Krause, Wytamma Wirth, Adrianna M. Turner, Louise Judd, Lucy Li, Willem van Schaik, Benjamin P. Howden, Glen P. Carter, Torsten Seemann, Ryan Wick, Timothy P. Stinear, Andrew H. Buultjens, Ian R. Monk

“…We have also customized a bioinformatic analysis suite that includes a WebAssembly powered visualization tool called Diana, for TraDIS data exploration and analysis (https://diana.cpg.org.au/). …”
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Topic modeling analysis of the Allen Human Brain Atlas by Letizia Pizzini, Filippo Valle, Matteo Osella, Michele Caselle

“…We show that the proposed method is indeed able to identify universal patterns much better than more traditional algorithms such as Latent Dirichlet Allocation or Weighted Correlation Network Analysis. The probabilistic association between genes and samples that we find well represents the known anatomical and functional brain organization. …”
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Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…In this paper, the sensitivity logging parameters of median rock grain size are optimized for low permeability sandstone reservoirs using principal component analysis obtained the grain size direction correlation curves (DEN, CNL,GR, and RD) in the study area, and the corresponding loss and activation functions are selected based on the learning characteristics of the nonlinear mapping of the logging data and the BP neural network to ensure that overfitting occurs. …”
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Nonlinear Dynamics of MEG and EMG: Stability and Similarity Analysis by Armin Hakkak Moghadam Torbati, Christian Georgiev, Daria Digileva, Nicolas Yanguma Muñoz, Pierre Cabaraux, Narges Davoudi, Harri Piitulainen, Veikko Jousmäki, Mathieu Bourguignon

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Meta-analysis of prognostic factors in patients with knee arthroplasty by Fengying Guo, Xiaoxia Shi, Honghui Song, Shendong Wang

“…ObjectiveTo identify specific factors predicting functional outcomes, pain reduction, and patient satisfaction following knee arthroplasty through systematic review and meta-analysis.MethodsA comprehensive search of multiple databases (Pubmed, Embase, OVID, Medline, Cochrane Library, CNKI, Wanfang, VIP) was conducted for studies published from database inception to December 2024. …”
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A Comparison Between Italian Division I and College American Football Players in the NFL Combine Test Battery by Federico Nigro, Sandro Bartolomei, Alessio D’Amico, Simone Ciacci, Rocco Di Michele, Vittorio Coloretti, Matteo Cortesi

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