Genetic diversity insights from population genomics and machine learning tools for Nordic Arctic charr (Salvelinus alpinus) populations by Christos Palaiokostas, Khrystyna Kurta, Fotis Pappas, Henrik Jeuthe, Ørjan Hagen, José Beirão, Matti Janhunen, Antti Kause

“…Furthermore, in the case of the Finnish population, the sampled animals originated from the only active conservation program for Arctic charr in the country with a potential interest in farming. …”
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The effect of synergistic leadership behaviors on the knowledge hiding of kashan teachers: the mediating role of professional learning community and organizational voice by Razieh Aghababaei

“…Therefore, it is necessary to examine the effective constructs for reducing knowledge hiding; thus, the study aimed to investigate the mediating role of the learning community and organizational voice in the relationship between synergistic leadership behaviors and teachers' knowledge-hiding behaviors.Methodology: The study type was descriptive-correlational, and the statistical population included 3244 teachers in Kashan, with a sample size of 358 people using the Cochran formula. …”
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The potential role of biomarkers CD28 and PF4 in the pathogenesis of idiopathic pulmonary fibrosis and their impact on the prognosis: an immune microenvironment analysis by Li Yan, Jiang-Han Li, Ai-Li Zhang, He Li, Bo Pang, De-Yang Meng, Qian Fu, Li-Juan Du, Yan Su

“…Abstract Background This study aims to identify and investigate biomarkers associated with mitochondrial-related genes (MRGs) and programmed cell death-related genes (PCDRGs) that concurrently influence the progression of idiopathic pulmonary fibrosis (IPF) and to explore the underlying biological mechanisms involved. …”
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A randomized trial of adapted versus standard versions of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction implemented via facilitation and delivered by communi... by Allison G. Harvey, Emma R. Agnew, Rafael Esteva Hache, Julia M. Spencer, Marlen Diaz, Estephania Ovalle Patino, Anne Milner, Lu Dong, Amy M. Kilbourne, Daniel J. Buysse, Catherine A. Callaway, Laurel D. Sarfan

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Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…An integrative machine learning program, comprising 111 algorithms, was developed to construct a Scissor+ proliferating cell risk score (SPRS). …”
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Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study by Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, Seil Oh

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Barriers and facilitators to high-volume evidence-based innovation and implementation in a large, community-based learning health system by Cimone Durojaiye, Stephanie Prausnitz, Jennifer L. Schneider, Tracy A. Lieu, Julie A. Schmittdiel, Smita Rouillard, Yi-Fen Chen, Kristine Lee, Douglas A. Corley

“…The most commonly cited barriers were inadequate resource commitment for next-step implementation (n = 15), insufficient learning/implementation culture (n = 5), and insufficient individual-level willingness/ability for change (n = 5). …”
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Disulfidptosis-related gene in acute myocardial infarction and its diagnostic value and functions based on bioinformatics analysis and machine learning by Liwen Chen, Jinru Wei, Jinru Wei, Guoxiong Deng, Guoxiong Deng, Guien Xu

“…Disulfidptosis, a novel form of programmed cell death, has been largely unexplored in AMI. …”
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Faculty development for undergraduate student programmatic assessment: a Brazilian multi-centered longitudinal study by Rodrigo Humberto Flauzino, Maria Paula Panúncio-Pinto, Valdes Roberto Bollela, Luiz Ernesto de Almeida Troncon

“…Local leaders took an initial workshops cycle (20 h), which was followed by 10 similar activities at the various institutions. The program design covered topics on assessment practices and systems using active teaching–learning strategies. …”
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Developing an Instrument of Performance Assessment to Measure Problem-Solving Skills of Senior High School Students in Physics Inquiry-Based Learning by Alda Novita Sari, Undang Rosidin, Abdurrahman Abdurrahman

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Software Support for the Higher Mathematics Course at the Technical University by Oleksii Viktorovych Bogdanov, Yurii Pavlovych Butsenko, Olena Ivanivna Balina, Iryna Srhiivna Bezklubenko

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From Observation to Ethical Inquiry: Course Redesign in Middle Level Educator Preparation by Sarah Straub, Elizabeth Gound

“…This manuscript explores the transformative impact of ethical engagement in the course MLGE 3301: Adolescent Learning, designed for pre-field students in an educator preparation program. …”
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Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning by Lanlan Wang, Yong Lin, Tingting Song, Yuchun Chen, Kai Li, Junchao Ran

“…A variety of model configurations were constructed using actual data from a coastal province in southern China, and the computational results show that the integrated prediction model exhibits excellent stability and accuracy.…”
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FOUR DOMINANT FACTORS INFLUENCING STUDENTS' MATHEMATICAL CURIOSITY by Dadang Juandi, Nurul Farida, Saddam Al Aziz, Welli Meinarni

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Integration of Google Earth Engine, Sentinel-2 images, and machine learning for temporal mapping of total dissolved solids in river systems by Eric Ariel L. Salas, Sakthi S. Kumaran, Robert Bennett, Eric B. Partee, Jason Brownknight, Kellsie Schrack, Bryant Willis

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Evaluation of pyroptosis-associated genes in endometrial cancer utilizing a 101-combination machine learning framework and multi-omics data by Li Juan Huang, Chen Liu, Lin Chen, Min Tang, Shi Tong Zhan, Feng Chen, An Yi Teng, Li Na Zhou, Wei Lin Sang, Ye Yang

“…Pyroptosis, a pro-inflammatory form of programmed cell death, plays dual roles in cancer but remains poorly understood in the context of EC and its immune microenvironment.MethodsWe identified pyroptosis-associated genes (PAGs) and applied a 101-combination machine learning framework to construct and validate a robust prognostic model using TCGA bulk RNA-seq and single-cell transcriptomic data. …”
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Machine learning enhanced expert system for detecting heart failure decompensation using patient reported vitals and electronic health records by Shumit Saha, Heather Ross, Pedro Elkind Velmovitsky, Chloe X. Wang, Julie K. K. Vishram-Nielsen, Cedric Manlhiot, Bo Wang, Joseph A. Cafazzo

“…This study aimed to enhance Medly’s performance with machine learning and include a richer set of data, including EHR, for predicting decompensated HF episodes. …”
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A Deep Learning Approach for Predicting Aerial Suppressant Drops in Wildland Firefighting Using Automatic Dependent Surveillance–Broadcast Data by Shayne Magstadt, Yu Wei, Bradley M. Pietruszka, David E. Calkin

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Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning appro... by Wang Liu, Liangjing Xia, Yuan peng, Qiang Cao, Ke Xu, Huiyan Luo, Yongjun Peng, Yanping Zhang

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Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model by Tiwonge E Mbeya-Munkhondya, Caroline J Meek, Mtisunge Mphande, Tapiwa A Tembo, Mike J Chitani, Milenka Jean-Baptiste, Caroline Kumbuyo, Dhrutika Vansia, Katherine R Simon, Sarah E Rutstein, Victor Mwapasa, Vivian Go, Maria H Kim, Nora E Rosenberg

“…Themes were grouped into factors affecting the 2 sets of TAM constructs: perceived usefulness and perceived ease of use. …”
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