Children Who Experience Unintentional Injuries: Their Functional Profiles by Sara Rosenblum, Tal Nardi-Moses, Helly Goez, Naor Demeter

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Serum Leptin as a Marker for Severity of Endometriosis by Shatha Sami Hussein, Fatin Shallal Farhan, Alaa Ibrahim Ali

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A Comparative Genomic Study in Schizophrenic and in Bipolar Disorder Patients, Based on Microarray Expression Profiling Meta-Analysis by Marianthi Logotheti, Olga Papadodima, Nikolaos Venizelos, Aristotelis Chatziioannou, Fragiskos Kolisis

“…The data were downloaded from NCBI's GEO datasets.…”
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Association of FAS and FAS Ligand Genes Polymorphism and Risk of Systemic Lupus Erythematosus by Bita Moudi, Saeedeh Salimi, Farzaneh Farajian Mashhadi, Mahnaz Sandoughi, Zahra Zakeri

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Models of waveguides combining gradient and nonlinear optical layers by S. E. Savotchenko

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Prevalence and Risk Factors of Trypanosomosis in Dromedary Camels in the Pastoral Areas of the Guji Zone in Ethiopia by Gossa Alemu, Rahmeto Abebe

“…Further studies using more sensitive and specific diagnostic tests, such as miniature anion-exchange centrifugation technique, serology, or molecular tests, are needed to establish a true epidemiological dataset on the prevalence and seasonality of the disease and its vectors in the study area to recommend viable control measures.…”
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Ecological shifts in lagoon patch reefs: consequences of large-scale alterations to coastal systems by Kathleen Sullivan Sealey, Ellery Lennon, Amelia Grace Roskar, Jacob Patus

“…Long-term studies of lagoonal patch reefs in the central Bahamas were reviewed using a threat assessment matrix to understand spatial and temporal changes in patch reef diversity. A 13-year dataset that includes both epifaunal invertebrate and fish surveys was used to address two research questions: (1) Are there spatial patterns of diversity loss across the tropical lagoon linked to distance from potential land-based sources of pollution? …”
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Reduced Gain and Shortened Time Constant of Vestibular Velocity Storage as a Source of Balance and Movement Sensitivities in Gravitational Insecurity by Michael Potegal, Teresa A. May-Benson, Sara Oxborough, Amy Hall, Stefanie McKnight

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On the Adversarial Robustness of Decision Trees and a Symmetry Defense by Blerta Lindqvist

“…GBDTs are customarily used on non-image datasets that lack inherent symmetries, which might be why data symmetry in the context of GBDT classifiers has not received much attention. …”
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Trend of skin cancer mortality and years of life lost in China from 2013 to 2021 by Jingyi Li, Jiaqi Zeng, Yuanchao Yang, Biran Huang

“…This study aimed to estimate the mortality trends of skin cancer in China within 2013–2021.MethodsA retrospective analysis of skin cancer deaths within 2013–2021 was performed using the China death cause surveillance dataset compiled by the National Health Commission Statistics Information Center and the China Center for Disease Control and Prevention Chronic Non-Communicable Diseases Prevention and Control Center. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…By addressing issues related to mechanical property variation, dataset coverage, and model evaluation, the study achieved high prediction accuracy across all nine models. …”
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Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Brady Metherall, Anna K. Berryman, Georgia S. Brennan

“…We employ artificial neural networks (ANNs) and random forests (RFs) on a dataset of 400 patients with 25 input features, which we divide into three feature sets. …”
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QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks by Wenming Ma, Qian Zhang, Chunxiao Mu, Meng Zhang

“…We conduct our experiments on a large real-world dataset, the QoS values of which are obtained from 339 clients evaluating on the other 5825 clients. …”
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Learning to Listen to Non-spoken Voices. Including Young People With Intellectual Disabilities Who are Non-speaking as Primary Participants in Qualitative Research by Beverley Samways, Pauline Heslop

“…Through this adapted methodology, the participants were able to contribute significant insights into the research inquiry, resulting in a dataset which reflected the rich, nuanced and overlaid emotional experiences, including significant emotional overwhelm and distress which could be understood as a factor for their self-injury. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…The candidate service attribute extraction component of the proposed mechanism achieves an optimal average <italic>F</italic>1 score in few-shot experiments on the CoNLL-2003 dataset, surpassing the baseline model. This positions the mechanism as state-of-the-art. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“…The challenge lies not just in the selection of an ML algorithm but in identifying the most appropriate one for a specific task as well, given the vast array of options available. Each unique dataset requires a comparative analysis to determine the best-performing algorithm. …”
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The Diagnostic and Predictive Significance of Immune-Related Genes and Immune Characteristics in the Occurrence and Progression of IgA Nephropathy by Jian-Bo Qing, Wen-Zhu Song, Chang-Qun Li, Ya-Feng Li

“…Finally, ssGSEA analysis was performed on the GSE141295 dataset to discover the abnormal inflammation in IgAN. …”
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Unique Genotypic Differences Discovered among Indigenous Bangladeshi Rice Landraces by Nusrat Yesmin, Sabrina M. Elias, Md. Sazzadur Rahman, Taslima Haque, A. K. M. Mahbub Hasan, Zeba I. Seraj

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Regularised Model Identification Improves Accuracy of Multisensor Systems for Noninvasive Continuous Glucose Monitoring in Diabetes Management by Mattia Zanon, Giovanni Sparacino, Andrea Facchinetti, Mark S. Talary, Andreas Caduff, Claudio Cobelli

“…In this work, by exploiting a dataset of 45 experimental sessions acquired in diabetic subjects, we show that regularisation-based techniques for the identification of the model, such as the least absolute shrinkage and selection operator (better known as LASSO), Ridge regression, and Elastic-Net regression, improve the accuracy of glucose estimates with respect to techniques, such as partial least squares regression, previously used in the literature. …”
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Effect of Initial Cable Tension on Cable-Stayed Bridge Performance and a New Construction Method by Hamid Dehghani, Ehsan Dehghani, Mehdi Sharifi, Seyed Rohollah Hoseini Vaez

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