Preliminary validation of a web-based MRI scoring system for children with chronic nonbacterial osteomyelitis (ChRonic nonbacterial Osteomyelitis Magnetic Resonance Imaging Scoring... by Farzana Nuruzzaman, T. Shawn Sato, Jennifer Stimec, Ramesh S. Iyer, Andrew Carbert, Joel Paschke, Lauren Potts, Meinrad Beer, Ming Huang, Johanna Monsalve, Anh-Vu Ngo, Mahesh Thapa, Xiaoyue Zhang, Walter P. Maksymowych, Polly J. Ferguson, Yongdong Zhao, For the CARRA CRMO Workgroup

“…Conclusion The web-based CROMRIS portal developed was usable and showed substantial-moderate agreement in the total CROMRIS Activity Index total scores among experienced radiologists after self-guided learning of the atlas and video. …”
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Robotic Assistance Enables Inexperienced Surgeons to Perform Unicompartmental Knee Arthroplasties on Dry Bone Models with Accuracy Superior to Conventional Methods by Monil Karia, Milad Masjedi, Barry Andrews, Zahra Jaffry, Justin Cobb

“…Robotic systems have been shown to improve unicompartmental knee arthroplasty (UKA) component placement accuracy compared to conventional methods when used by experienced surgeons. We aimed to determine whether inexperienced UKA surgeons can position components accurately using robotic assistance when compared to conventional methods and to demonstrate the effect repetition has on accuracy. …”
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STUDENTS’ TEST CONTROL: ADVANTAGES AND ISADVANTAGES by I.A. Kolesnik

“… The transition of the educational activities of higher educational institutions to credit-transfer system provides for the continuous improvement of the quality of education to ensure a high level of graduates’ training that presupposes the development, implementation of the new or enhancement of existing methods of teaching material presentation, upgrading of methods of instruction and improving of the quality control of the students’ learning. …”
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

“…It is evident from the literature that electroencephalogram (EEG) signals provide valuable insights into brain activity, but their high dimensionality and complexity pose remain key challenges. …”
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Unlocking early academic skills: children’s cognitive processes, learning skills, and parental beliefs and behaviors predicting children’s language and math skills by Anne-Mai Meesak, Dmitri Rozgonjuk, Tiia Õun, Eve Kikas, Eve Kikas

“…While previous research has concentrated on a limited number of skill areas and aspects of the home environment, this study aimed to provide a more comprehensive understanding of children’s early learning by studying multiple skills and parental characteristics concurrently.MethodsData was collected through direct e-assessments of children’s skills alongside parental questionnaires (N = 279).ResultsWe found positive relationships between children’s cognitive processes, language, math, and learning skills, emphasizing the importance of considering multiple skills together. …”
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Guidance on the Utilization of Artificial Intelligence (AI) in the Development of Instructional Materials by Risma Firda Diana, Pratama Surya Bagus Kusuma, Husnu Athoilah, Choirun Nisa

“…This activity was conducted at Madrasah Ibtidaiyah Swasta Darul Ulum Lamongan due to its diverse student population, strong commitment to improving educational quality, and the pressing need to develop technological innovations in the teaching and learning process in the region. …”
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Klasifikasi Aktivitas Manusia Menggunakan Algoritme Computed Input Weight Extreme Learning Machine dengan Reduksi Dimensi Principal Component Analysis by M. Sofyan Irwanto, Fitra A. Bachtiar, Novanto Yudistira

“…Therefore, this study will use both methods to classify simple activities such as walking, walking upstairs, walking downstairs, sitting, standing, and laying. …”
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Toward Better Physical Education Outcomes Assessing the Effectiveness of Blended Learning in Middle School Physical Education using TreeSoft Set by Yuanyuan Qi

“…Physical education (PE) teaching methods have changed because of blended learning, which combines traditional in-person training with online learning resources. …”
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Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree by mozaffar faraji, Majid Rezaii Banafsheh Daragh, Behroz sarisarraf, Ali Mohammad Khorshid Dust

“…Two machine learning models including MLP with activation function σ and decision tree with entropy criterion were implemented. …”
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Mapping the distribution of pine wilt disease based on selected machine learning algorithms and high-resolution Gaofen-2/7 remote sensing by Yifan Wang, Xiaocheng Zhou, Chongcheng Chen, Xiaoqin Wang, Hao Wu, Fanglin Tan, Ruijiao Wu

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NeSyDPP-4: discovering DPP-4 inhibitors for diabetes treatment with a neuro-symbolic AI approach by Delower Hossain, Delower Hossain, Ehsan Saghapour, Ehsan Saghapour, Jake Y. Chen, Jake Y. Chen, Jake Y. Chen

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Understanding university students’ perceptions of the group work-based activity to enhance collaborative problem-solving skills and its impact on academic writing performance by Siti Anisah, Nunung Suryati

“…Group work-based activity is commonly used by teachers, primarily to improve students' learning achievement. …”
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Psychological and Linguistic Peculiarities of English Mastering by the Children of Young School Age in the Process of Associative Symbols Usage by Людмила Гусак, Ольга Шапран, Юрій Шапран

“…An important aspect and advantage of using the associative symbol method is lesser amount of tirelessness of elementary school pupils, which allows to effectively implement language learning through their personal activity. …”
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Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts by Renao Jiang, Longfei Dai, Xinjian Xu, Zhen Zhang

“…Identification of cell death genes may offer insights into diagnostic and therapeutic strategies for NASH. Methods Data from multiple NASH cohorts were integrated, and 12 machine learning algorithms were applied to identify key dysregulated cell death-related genes and develop a binary classification model for NASH. …”
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Long-term comparative analysis of machine learning models: A deep dive into applications of artificial intelligence for enhancing photovoltaic performance prediction by Ali Akbar Yaghoubi, Mahdi Gandomzadeh, Aslan Gholami, Roghayeh Gavagsaz-Ghoachani, Majid Zandi

“…Six supervised machine learning models were trained: K-Nearest Neighbors (KNN), Cross-Decomposition Regression, Decision Trees, Support Vector Regression (SVR), Multi-Layer Perceptron (MLP), and Ensemble Learning. …”
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How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis. by Jiamin Zhu, Ziyou Huang, Xiaoping Meng, Zhiyong Zhang, Xiaotong Yuan

“…Participants completed the Chinese versions of the Perceived Social Support Scale (PSSS), General Self-Efficacy Scale (GSES), Motivation for Physical Activity Measure-Revised (MPAM-R), and Autonomous Physical Learning Behavior Scale (APLBS). …”
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Indigenous wood species classification using a multi-stage deep learning with grad-CAM explainability and an ensemble technique for Northern Bangladesh. by Ashrafun Zannat, Md Saiful Islam, Md Shahriar Zaman, Sadman Saif

“…Early studies in this domain have offered various methods for classifying distinct wood species found worldwide using data collected from a particular region. …”
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Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data by Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan

“…Conventional techniques for forecasting pore pressure, such as the Eaton, Bower, or compressibility methods, have certain constraints. These methods depend on empirical relationships and constants that can differ between basins. …”
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Identification of a novel ferroptosis-induced immunogenic cell death related signature based on a machine learning framework in colorectal cancer by Feng Zhu, Xin Liu, Huiyuan Li, Jianfeng Li, Hongzhang Liu, Yusheng Wang

“…However, few studies have explored the combined regulatory effects of F-ICD in CRC. Methods In current study, we identified F-ICD related genes based on analysis of single-cell transcriptomics level and developed F-ICD related signature using 101 machine learning algorithms and WGCNA analysis. …”
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Single‐Cell Analysis Integrated With Machine Learning Elucidates the Mechanisms of Nucleus Pulposus Cells Apoptosis in Intervertebral Disc Degeneration and Therapeutic Intervention... by Chao Song, Xiaofei Wu, Chaoqi Chen, Baoxin Shen, Yongliang Mei, Qian Yan, Feng Jiang, Feng Chen, Fei Liu

“…To validate the molecular pathways by which Duhuo activity affects IVDD, network pharmacology and molecular docking were employed. …”
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