The Change in Entrance Exam Requirements for Medical School: Impact on Prior Performance, Entrance Exam Success, and Study Achievement by Minna Hallia, Petri Kulmala, Jouni Pursiainen, Pentti Nieminen

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From innovativeness to insecurity: unveiling the facets of translation technology use behavior among EFL learners using TRI 2.0 by Junfeng Zhao, Xiang Li, Zhaoyang Gao

“…A structured questionnaire was administered to 554 junior and senior EFL students across six Chinese universities. Data were analyzed utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate the measurement and structural models and a multigroup analysis (MGA) to examine potential differences based on socioeconomic background. …”
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Decoding the Narcissistic Brain by Zhiwei Zhou, Chengli Huang, Esther M. Robins, Douglas J. Angus, Constantine Sedikides, Nicholas J. Kelley

“…We attempted to do so by applying a machine learning approach (multivariate pattern analysis) to the resting-state EEG data of 162 participants who also completed a comprehensive battery of narcissism scales assessing agentic, admirative, rivalrous, communal, and vulnerable forms. …”
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Development of Heyzine-assisted handout on human respiratory system material in the eighth grades of junior high school by Tiara Marantika Natalia, Eko Sri Wahyuni, T. Titin

“…The research method used is Research and Development with the Analysis, Design, Develop, Implement, and Evaluate (ADDIE) model. …”
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A Review on Integrating IoT, IIoT, and Industry 4.0: A Pathway to Smart Manufacturing and Digital Transformation by Fujun Qiu, Ashwini Kumar, Jiang Hu, Poorva Sharma, Yu Bing Tang, Yang Xu Xiang, Jie Hong

“…This review presents a comprehensive analysis of IIoT’s applications, highlighting its ability to optimize industrial operations through advanced connectivity, real-time data exchange, automation, and its importance in the context of Industry 4.0. …”
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An innovative hybrid model combining informer and K‐Means clustering methods for invisible multisite solar power estimation by Quoc‐Thang Phan, Yuan‐Kang Wu, Quoc‐Dung Phan

“…The proposed framework integrates Missforest, that is, a robust tool for missing data imputation, with a hybrid application of K‐Means, Pearson Correlation Coefficient, and Principal Component Analysis, for the precise selection of representative PV sites. …”
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Advancing civil engineering: The transformative impact of neuromorphic computing on infrastructure resilience and sustainability by Ali Akbar Firoozi, Ali Asghar Firoozi, Yasser Alashker, Safeer Ahmad

“…Drawing inspiration from the human brain's processing capabilities, neuromorphic computing has been demonstrated to significantly enhance the efficiency of real-time data analysis, learning, and prediction of structural integrity. …”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. …”
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Crowdsourced Indoor Positioning: Integrating 5G NR and WiFi Technologies by P. Ye, L. Chen

“…WiFi SSID and 5G NR SSB data collected along trajectories are used as features for clustering analysis. …”
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Effectiveness of a Modified Phantom-based Mannequin in Improving Vaginal Toucher Examination Skills of Midwifery Students by Rosmaria Rosmaria, Fitriani Fitriani, Lia Artika Sari, Dian Diniyati, Neti Herawati

“…The instrument used for assessing performance was a validated 10-item scale. Data analysis was done using paired t-test, Kolmogorov-Smirnov test, and ANCOVA. …”
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Understanding pre-service teachers' intention to adopt and use artificial intelligence in Nigerian inclusive classrooms by Olufemi Timothy Adigun, Olufemi Timothy Adigun, Faisat Adeniran Tijani, Cynthy K. Haihambo, Simasiku Limbo Enock

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Singletrome enhances detection of long noncoding RNAs in single cell transcriptomes by Raza Ur Rahman, Iftikhar Ahmad, Zixiu Li, Robert P Sparks, Amel Ben Saad, Alan C Mullen

“…Here, we introduce Singletrome, a Singularity image that integrates protein-coding and lncRNA gene transfer format (GTF) annotations to generate enhanced annotations that take into account the sense and antisense overlap of annotated genes, maps scRNA-seq data, and produces files for downstream analysis and visualization. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…Considering that this work focuses on a single-class crop—corn—the proposals mainly focus on the deep learning model size and the completion of the overall shape of the corn. …”
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Mobile Banking and Financial Performance of Commercial Banks in Uganda: A Case Study of Stanbic Bank Rukungiri Branch. by Kinembabazi, Cynthia

“…A descriptive research design was used and data was collected using interview guides, questionnaires, and documentary analysis. …”
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Post Covid-19 Strategies and Pupils' Academic Performance in Rubuguri Town Council Kisoro District. by Twesigye, Posiano

“…Purposive sampling techniques were employed to select head teachers, recognizing their unique position as school administrators. Data collection methods included surveys, interviews, and document analysis, allowing for a comprehensive exploration of the research topic. …”
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A FastSurfer Database for Age‐Specific Brain Volumes in Healthy Children: A Tool for Quantifying Localized and Global Brain Volume Alterations in Pediatric Patients by Ibrahim Zughayyar, Martin Bauer, Christopher Güttler, Ana Luisa de Almeida Marcelino, Fabienne Kühne, Claudia Buss, Christine Heim, Annette Aigner, Anna Tietze, Andrea Dell'Orco

“…Conclusion To our knowledge, this is the first study investigating the use of FastSurfer in volumetric analysis of a pediatric population. Our findings suggest that FastSurfer is a reliable segmentation tool for pediatric data and is particularly promising for clinical practice due to its high accuracy despite rapid processing times. …”
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Longitudinal exploration of cancer-related cognitive impairment in patients with newly diagnosed aggressive lymphoma: protocol for a feasibility study by Vincent Dore, Christopher C Rowe, Meinir Krishnasamy, Haryana Dhillon, Adam K Walker, Karla Gough, Priscilla Gates, Carlene Wilson, Eliza Hawkes, Yuliya Perchyonok, Janette L Vardy, Michiel de Ruiter

“…The primary intent of analysis will be to assess the feasibility of collecting longitudinal data on cognition using subjective reports and objective tasks from patients during treatment and recovery for lymphoma. …”
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Bayesian Workflow for Generative Modeling in Computational Psychiatry by Alexander J. Hess, Sandra Iglesias, Laura Köchli, Stephanie Marino, Matthias Müller-Schrader, Lionel Rigoux, Christoph Mathys, Olivia K. Harrison, Jakob Heinzle, Stefan Frässle, Klaas Enno Stephan

“…Using both simulations and empirical data from a speed-incentivised associative reward learning (SPIRL) task, we show that models harnessing information from two different data streams (binary responses and continuous response times) ensure robust inference (specifically, identifiability of parameters and models). …”
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The novel diagnostic markers for systemic lupus erythematosus and periodontal disease by Xuedi Cheng, Jinfeng Zhang, Jiali Hou, Xiaocui Han, Bin Han, Jun Zhou, Zhongjun Wang, Junzheng Wang

“…Finally, hub genes were validated using additional datasets, single-cell RNA sequencing (scRNA-seq) data, and immunohistochemistry (IHC) experiments.ResultsUsing WGCNA, we identified significant correlation modules and overlapping module genes, which were subjected to differential expression analysis in different datasets. …”
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Adenosine Receptor 3 in Liver Cancer: Expression Variability, Epigenetic Modulation, and Enhanced Histone Deacetylase Inhibitor Effects by Louise Kaldjob-Heinrich, Sandro Nuciforo, Steffen Lemke, Aaron Stahl, Stefan Czemmel, Sepideh Babaei, Lauriane Blukacz, Marie-Anne Meier, Yizheng Zhang, Christian M. Schürch, Irene Gonzalez-Menendez, Pascal Woelffing, Nisar P. Malek, Veit Scheble, Sven Nahnsen, Manfred Claassen, Markus Templin, Hans Bösmüller, Markus H. Heim, Daniel Dauch, Michael Bitzer

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