Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…Masking autoencoding is a promising self-supervised learning approach that greatly advances computer vision and natural language processing. …”
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Anxiety as a prevailing factor of performance of university mathematics students during the COVID-19 pandemic by D. Mendoza, M. Cejas, G. Rivas, C. Varguillas

“…The current studies of virtual mathematical anxiety are important because they allow the detection and analysis of possible educational failures in online learning. The failures of online education have a direct impact not only on performance and learning, but on an emotional state of students.…”
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Challenges of healthcare financing in the world’s largest refugee camp: a mixed-method study among healthcare stakeholders for Rohingya refugees in Bangladesh by Isabel Smith, Imdadul Haque Talukdar, Sayeeda Tarannum, M A Rifat, Priyanka Boga, Jubayer Mumin, Pablo André Veronés, Ziba Mahdi, Syeda Saima Alam, Arif Faysal Khan

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Assessment of students’ ability to represent determinants of health and health systems science content on concept maps in a pre-clerkship curriculum by Tovah Tripp, Miriam Hoffman, Mitchell Miller, Joshua S. Josephs

“…The school has an active learning curriculum partially conducted through a small group modified problem-based-learning entitled Patient Presentation Problem-based-learning Curriculum (PPPC). …”
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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…By focusing on studies that integrate EEG with machine learning (ML) and deep learning (DL) techniques, we systematically analyze methods utilizing EEG signals to identify depression biomarkers. …”
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BDMANGO: An image dataset for identifying the variety of mango based on the mango leavesMendeley Data by Mohammad Manzurul Islam, Md. Jubayer Ahmed, Mahmud Bin Shafi, Aritra Das, Md. Rakibul Hasan, Abdullah Al Rafi, Mohammad Rifat Ahmmad Rashid, Nishat Tasnim Niloy, Md. Sawkat Ali, Abdullahi Chowdhury, Ahmed Abdal Shafi Rasel

“…In the field of agriculture, particularly within the context of machine learning applications, quality datasets are essential for advancing research and development. …”
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Modality-Focused L2-Instruction in Swedish Sign Language by Ingela Holmström

“…Abstract (English) Most second language (L2) learning happens in the same modality, i.e., a learner who has a spoken language as the first language most commonly learns additional spoken languages as L2. …”
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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

“…Results Clinical diagnosis was accurately confirmed using machine learning models with only small differences when using imaging and clinical signs versus imaging variables only (expected multiclass AUC of 0.95 vs. 0.92). …”
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Nurturing care during COVID-19: a rapid review of early evidence by Bernadette Daelmans, Tarun Dua, Vanessa Cavallera, Kristy Hackett, Kerrie Proulx, Rachel Lenzi-Weisbecker, Rachel Hatch, Carina Omoeva

“…A rapid review of evidence was conducted to examine emerging evidence on the effects of the pandemic on three components of nurturing care, including responsive caregiving, early learning, and safety and security.Design Two academic databases, organisational websites and reference lists were searched for original studies published between 1 January and 25 October 2020. …”
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Digital Education for Students of LBBP D’King Study, Kramat Jati, East Jakarta by Lydia Kurniawan, Henni Handari, Tikkos Sitanggang, Malik Hidayat, Yopie Yulius, Aang Syahdina, Swesti Mahardini

“…The implementation methods included lectures, discussions, Q&A sessions, and training on the use of digital technology in learning activities as an effort to transform education and realize "Merdeka Belajar" (Freedom to Learn). …”
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SiC MOSFET with Integrated SBD Device Performance Prediction Method Based on Neural Network by Xiping Niu, Ling Sang, Xiaoling Duan, Shijie Gu, Peng Zhao, Tao Zhu, Kaixuan Xu, Yawei He, Zheyang Li, Jincheng Zhang, Rui Jin

“…Meanwhile, in the comparison of convolutional neural networks and machine learning, the CNN accuracy is much higher than the machine learning methods. …”
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Neuropsychological morbidity in the First Seizure Clinic: Prominent mood symptoms and memory issues in epilepsy by Remy Pugh, David N. Vaughan, Graeme D. Jackson, Jennie Ponsford, Chris Tailby

“…Results People with epilepsy were most likely to show cognitive impairments, particularly in learning and memory, with performances worse than all other FSC groups (F [3127] = 2.44, p = 0.03). …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…Methods: We pretrained an LSTM-based model with attention using the TR approach, focusing on learning the direction of time in fMRI data, achieving over 98 % accuracy on HCP and UK Biobank datasets. …”
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DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts by Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha

“…Earth observation datasets comprehensively monitor ecosystem dynamics and responses to climatic extremes, yet the data complexity can challenge the effectiveness of machine learning models. Despite recent progress in deep learning to ecosystem monitoring, there is a need for datasets specifically designed to analyse compound heatwave and drought extreme impact. …”
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Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI–Based Mixed Methods Study by Tyler Bland

“…Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts. …”
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Effects of empathy mapping and mini-simulation on second-year nursing students’ empathy and communication self-confidence: a quasi-experimental study by Hsiang-Ping Huang, Yun Tien, Yung-Chang Lin, I-Chen Yu, Nai-Hui Chien

“…The aim of the study was to use empathy mapping and mini-simulation in learning to enhance nursing students’ empathy and self-confidence in communication. …”
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Elucidation of α-glucosidase inhibitory activity and UHPLC-ESI-QTOF-MS based metabolic profiling of endophytic fungi Alternaria alternata BRN05 isolated from seeds of Swietenia mac... by Piyush Kumar, Sai Anand Kannakazhi Kantari, Ranendra Pratap Biswal, Prasanth Ghanta, Malleswara Dharanikota

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Integrated information theory reveals the potential role of the posterior parietal cortex in sustaining conditioning responses in classical conditioning tasks by Tien Cuong Phi, Shin Ishii, Shin Ishii, Shin Ishii, Masashi Kondo, Masanori Matsuzaki, Masanori Matsuzaki, Masanori Matsuzaki, Masanori Matsuzaki, Ken Nakae

“…Classical conditioning is a fundamental associative learning process in which repeated pairings of a conditioned stimulus (CS) with an unconditioned stimulus (US) lead to the CS eliciting a conditioned response (CR). …”
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PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF DENGAN MENGGUNAKAN ADOBE CAPTIVATE PADA MATERI GERAK HARMONIK SEDERHANA by Ramadhanty Mashama Putri, Eko Risdianto, Nyoman Rohadi

“…Kata Kunci: Penelitian Pengembangan, Media, Adobe Captivate, Gerak Harmonik Sederhana This study aims to develop an interactive learning media by using Adobe Captivate on simple harmonic motion. …”
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Comparison of Medical Students’ Peer Evaluation and Teaching Staff Evaluation of Community Health Projects: Perceptions and Experiences by Mahmoud MA, Almutairi ZS, Mahmoud AM, Alanazi HB, Abdulrahman SM, Bin Abdulrahman KA

“…Consequently, allocating resources toward enhancing peer students’ learning and evaluation capabilities is justifiable.Keywords: student peer evaluation, medical students, community health, student projects, Saudi Arabia…”
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