Observations of Score Changes Between USMLE Step 1 and Step 2 Among Students of Different Demographic Groups in a Longitudinal Clinical Curriculum by Kaitlyn Novotny, Daniel Levine, Dale Netski, Edward Simanton

“…METHOD Utilizing institutional data from KSOM, 145 students from 3 KSOM cohorts’ Step 1 and Step 2 3-digit scores and their self-identified demographic information prior to the change in Step 1 grading were categorized by admissions and initial performance factors. …”
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Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection by Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka

“…The EGAB framework provides enhanced flexibility for processing data with varying distributions, thanks to the tunable hyperparameters of the AB divergence. …”
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Knowing how, arguing why: nurse anaesthetists’ experiences of nursing when caring for the surgical patient by Aina L. Bjerkeli Lekens, Sigrunn Drageset, Britt Sætre Hansen

“…Semi-structured individual interviews were carried out. Data were analysed using qualitative content analysis. …”
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The impact of teachers’ caring behavior on EFL learners’ academic engagement: the chain mediating role of self-efficacy and peer support by Manli Wu, Jingyi Cai

“…The study utilized the Teachers’ Caring Behavior Scale, English Self-Efficacy Scale, Peer Support Scale, and Utrecht Work Engagement Scale for Students. Data analysis was performed using Partial Least Squares Structural Equation Modeling with SmartPLS 4.0 to examine the relationships among variables. …”
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Sustainability of Audit Profession in Digital Technology Era: The Role of Competencies and Digital Technology Capabilities to Detect Fraud Risk by Fazlida Mohd Razali, Norhayati Sulaiman, Dewi Izzwi Abdul Manan, Jamaliah Said

“…To prove this relationship, 455 questionnaires were distributed to members registered under the Malaysian Institute of Accountants working as external auditors. Based on the analysis of 150 responses through PLS-SEM, this study confirmed that external auditors’ effectiveness is enhanced if they are skillful in using audit software to plan and manage audit processes, organize and distribute audit information, analyze audit data, and run audit quality programs. …”
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Exploring ambulance clinicians’ clinical reasoning when training mass casualty incidents using virtual reality: a qualitative study by S. Heldring, V. Lindström, M. Jirwe, J. Wihlborg

“…Methods This study was conducted as an explorative interview study design using chart- stimulated recall technique for data collection. A qualitative content analysis was done, using the clinical reasoning cycle as a deductive matrix. …”
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A Systems Hypothesis of Lipopolysaccharide-Induced Vitamin Transport Suppression and Metabolic Reprogramming in Autism Spectrum Disorders: An Open Call for Validation and Therapeut... by Albion Dervishi

“…<b>Methods:</b> We developed Personalized Metabolic Margin Mapping (PM³), a computational systems biology framework, to analyze RNA-seq data from 12 ASD and 12 control postmortem brain samples. …”
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The role of social media on psychological wellbeing from the perspectives of young people with type 1 diabetes and their caregivers: a qualitative study by Emma Berry, Bryan Cleal, Eimear Morrissey, Ingrid Willaing, Caoimhe Shields, Matthew Thornton, Grace Duffy, Mark Davies

“…Young people aged 13–20 years (N = 19) with type 1 diabetes and caregivers (diabetes healthcare providers and parents) (N = 8) took part in an online focus group or interview. Thematic analysis was used to analyse the data. Participants reflected on social media’s capacity to facilitate accessible peer learning and emotional support. …”
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The Effectiveness of Implementing the Merdeka-Belajar Kampus-Merdeka (MBKM) Policy in Developing High-Quality Human Resources at Jenderal Soedirman University, Indonesia, Contribut... by Wahyuningrat, Tri Harsanto Bambang, Fitrah Elpeni, Yamin Muhammad, Mokhamad Luthfi Raden

“…The study employs a qualitative descriptive technique, utilising in-depth interviews, observations, focus group discussions, and document analysis. The data were analysed using the interactive methodology developed by Miles, Huberman, and Saldana. …”
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Concept of soil temperature coefficient for determining spatial distribution of soil temperature, using physiographic parameters of the basin and artificial neural network (ANN) by Edyta Kruk, Magdalena Malec, Sławomir Klatka, Andżelika Brodzińska-Cygan

“…Global sensitivity analysis facilitated the assessment of percentage shares, contributing to the soil temperature ratio. …”
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Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models by Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao

“…Convolutional neural networks (CNN) were the most frequently used models (four studies), followed by support vector machines (three studies). Comparative analysis revealed that CNN-based approaches showed consistently high performance in ossification of the posterior longitudinal ligament detection, while traditional machine learning methods demonstrated varying effectiveness in cervical spondylotic myelopathy classification. …”
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Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptiv... by S. Venkatesh, S. Gopal, K. Kannan

“…Partial discharge (PD) is a major cause of failure of power apparatus and hence its measurement and analysis have emerged as a vital field in assessing the condition of the insulation system. …”
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Exploring Novice and Experienced Iranian EFL Teachers’ Beliefs and Practices regarding Classroom Interactional Competence and Uncovering Reasons behind Their Belief-Practice Misali... by Majid Nemati, Seyed Reza Dashtestani, Ahmad Izadi

“…The results of the quantitative data analysis showed that novice and experienced teachers had significantly different beliefs with regard to maximizing interactional space, effective use of gestures, and increased awareness of unwillingness to participate (UTP). …”
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Effect Evaluation of Staged Fracturing and Productivity Prediction of Horizontal Wells in Tight Reservoirs by Yuan Zhang, Jianyang Chen, Zhongbao Wu, Yuxiang Xiao, Ziyi Xu, Hanlie Cheng, Bin Zhang

“…Firstly, the basic characteristics and value of horizontal wells in tight reservoirs are introduced, their geological characteristics, flow mechanism and permeability model are analyzed and the application of grey theory in effect analysis is discussed. Considering the problems of staged fracturing effect evaluation and the production prediction of horizontal wells in tight reservoirs, a BP neural network model based on deep learning is proposed. …”
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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…The meta-heuristic optimization algorithms for the feature selection process followed by machine learning classification methods yielded a prediction accuracy between 93.57 and 95.55%. …”
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Redefining Leadership: The Role of Spirituality and Motherhood in Muslim Women’s Educational Leadership by Fella Lahmar

“…Analysis reveals that these headteachers conceptualise leadership through the Islamic principles of <i>imāmah</i> (spiritual leadership), <i>qiwāmah</i> (guardianship), and <i>amānah</i> (trusteeship), emphasising ethical responsibility, continuous learning, and service-oriented leadership. …”
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Teachers and Learners’ Emotional Intelligence and their Corrective Feedback Practices and Preferences by Ehsan Narimani Vahedi, Mahnaz Saeidi, Nasrin Hadidi Tamjid

“…Third, utilizing an observation checklist, teachers’ CF practices and learners’ modified outputs in summery telling activity were examined to find the associations among EI components and modified output in teacher-learner matched/mismatched conditions. The quantitative analysis using a number of Chi-square tests and the complementary qualitative data analyses revealed that the high/low EI learners preferred the different CF types. …”
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Regular Breakfast Consumption and its Predictors Based on the Social Cognitive Theory in Female Students of Hamadan University of Medical Sciences by Nooshin Salimi, Akram Karimi-Shahanjarini*, Ghodratollah Roshanaei

“…Data were analyzed in SPSS-16 using the chi-square test, the correlation test and the linear regression analysis. …”
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CHARACTERISTIC OF A STUDENT IN EXPERIMENTAL PEDAGOGY BY O. NECHAEV AND G. ROSSOLIMO by Mikhno Oleksandr

“…These typologies are a significant help to the teacher in the process of learning the pupil and compilation of his profile. …”

Constraining f(R) gravity model through Hubble Parametrization by Kshetrimayum Govind Singh, Kangujam Priyokumar Singh, Asem Jotin Meitei

“…The study also develops a neural network-based machine learning model to predict the Hubble parameter H(z) across various redshifts, facilitating data-driven insights into cosmic expansion.…”
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