Diabetes Education Program for Nursing Students: A Systematic Review and Meta‐Analysis by Jeong‐Ah Ahn, Eun‐Mi Kim, Jung Eun Lee, Kyoung‐A Kim

“…Regarding the evaluation of diabetes education program effectiveness, the majority of studies showed significant improvements in knowledge (n = 8, 61.5%), followed by satisfaction with learning (n = 4, 30.8%), nursing skill performance (n = 3, 23.1%), and self‐confidence (n = 3, 23.1%) in nursing students. …”
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SVFRH: A Growth Stage-Based Compartmental Model for Predicting the Disease Incident in Tomato (Solanum lycopersicum) by Athira P. Shaji, S. Hemalatha

“…Over decades, research has primarily focused on addressing these challenges through computer vision and deep learning techniques. In this work, we employ a comprehensive modelling approach that combines compartmental and logistic regression models to thoroughly address disease dynamics in tomato crops, with a particular focus on tomato early blight diseases. …”
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A Dual-Stage Processing Architecture for Unmanned Aerial Vehicle Object Detection and Tracking Using Lightweight Onboard and Ground Server Computations by Odysseas Ntousis, Evangelos Makris, Panayiotis Tsanakas, Christos Pavlatos

“…The UAV transmits selected frames to the ground server, which handles advanced tracking, trajectory prediction, and target repositioning using state-of-the-art deep learning models. Communication between the UAV and the server is maintained through a high-speed Wi-Fi link, with a fallback to a 4G connection when needed. …”
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Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

“…Next, a GNN‐based model is utilized to learn latent representations of the patient nodes and facilitate the propagation of information throughout the graph structure. …”
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The role of intraoperative monitoring in target selection in deep brain stimulation: A single centre study by Sandro Ibrulj, Dejan Georgiev, Žiga Samsa, Polona Mušič, Mitja Benedičič, Maja Trošt

“…Our findings show a learning curve in successful preoperative planning in our centre achieved through experience.…”
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Neural network quantification for solar radiation prediction: An approach for low power devices by Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante

“… Accurate solar radiation prediction leverages various machine learning techniques, with artificial neural networks (ANN) being the most common and precise due to their ability to detect and learn relationships between meteorological variables and solar radiation. …”
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Mapping the Landscape of AI-Driven Human Resource Management: A Social Network Analysis of Research Collaboration by Mehrdad Maghsoudi, Motahareh Kamrani Shahri, Mehrdad Agha Mohammad Ali Kermani, Rahim Khanizad

“…The findings identify four primary research themes: AI for System Identification and Control, focusing on workforce planning and adaptive management; HR Analytics and Performance Management, emphasizing data-driven decision making; Machine Learning for Classification and Prediction, addressing talent acquisition and retention; and AI-Driven HR Decision-Making, exploring strategic planning and unbiased evaluation systems. …”
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How to Coordinate Urban Ecological Networks and Street Green Space Construction? Insights from a Multi-Scale Perspective by Shujun Hou, Ying Yu, Taeyeol Jung, Xin Han

“…This study examines the area within Chengdu’s Third Ring Road, employing the following methodologies: (1) constructing the regional ecological network using Morphological Spatial Pattern Analysis (MSPA), the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, and circuit theory; (2) analyzing the street green view index (GVI) through machine learning semantic segmentation techniques; and (3) identifying key areas for the coordinated development of urban ecological networks and street green spaces using bivariate spatial correlation analysis. …”
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Determinants of burnout syndrome among undergraduate nursing students in Poland: a cross-sectional study by Katarzyna Szwamel, Wiesława Kowalska, Ewa Mazur, Anna Janus, Iwona Bonikowska, Justyna Jasik-Pyzdrowska

“…Burnout may affect the learning process, achieving professional skills, and future effectiveness while working with a patient and, eventually, might lead to the decision to quit the job. …”
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GS-DTA: integrating graph and sequence models for predicting drug-target binding affinity by Junwei Luo, Ziguang Zhu, Zhenhan Xu, Chuanle Xiao, Jingjing Wei, Jiquan Shen

“…GATv2-GCN enhances the model’s ability to focus on important nodes by assigning dynamic attention scores, which improves the learning of the graph structure’s intricate patterns. …”
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Syngap1 promotes cognitive function through regulation of cortical sensorimotor dynamics by Thomas Vaissiere, Sheldon D. Michaelson, Thomas Creson, Jessie Goins, Daniel Fürth, Diana Balazsfi, Camilo Rojas, Randall Golovin, Konstantinos Meletis, Courtney A. Miller, Daniel O’Connor, Lorenzo Fontolan, Gavin Rumbaugh

“…Cortical Syngap1 expression was necessary and sufficient for setting tactile sensitivity, sustaining tactile object exploration, and promoting tactile learning. Mice with deficient Syngap1 expression exhibited impaired neural dynamics induced by exploratory touches within a cortical-thalamic network that promotes attention and perception. …”
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The Experiences of Syrian Female Students During the Distance Education and the Insights of Religious Culture and Ethics Teachers into the Process by İshak Tekin, Mustafa Fatih Ay

“…It was found that Syrian refugee girls struggled with limited financial resources, a lack of technological devices such as tablets and computers, inadequate internet access, and a shortage of appropriate learning environments. They also experienced psychological challenges, including isolation and a longing for social interaction, along with shifts in family dynamics. …”
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Viability of black currant pollen before and after cryopreservation in liquid nitrogen, and its morphological features by O. A. Tikhonova, O. A. Gavrilova, E. A. Radchenko, V. G. Verzhuk, A. V. Pavlov

“…Background. Learning about morphological and biological features of pollen is very important to make correct estimations of plant productivity and breeding efficiency.Materials and methods. …”
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An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification by Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, Abdulaziz Alhossan, Ziyad Alrabiah, Ajaz Ahmad, Hessa Alsuwailem, Gyu Sang Choi

“…To further prove that the proposed model outperforms other models, a comparative analysis has been done with some of the machine learning algorithms. The proposed model has outperformed all the models generally and specifically when the model testing was done using an independent testing set.…”
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Is it possible to talk about violence climate in grassroots sport? A study on the psychosocial adaptations of young athletes by Juan González-Hernández, Manuel Gómez-López, Gustavo Carlo, David Manzano-Sánchez

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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. …”
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5‐Hydroxymethylcytosine Profiles of cfDNA in Urine as Diagnostic, Differential Diagnosis and Prognostic Markers for Multiple Myeloma by Weiwei Xie, Xuehui Li, Hangyu Chen, Jinlin Chu, Lei Zhang, Bo Tang, Wenrong Huang, Linlin Li, Jian Lin, Yujun Dong

“…Then, we applied a machine learning algorithm to develop diagnostic and differential diagnosis model. …”
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Enhancing patient education on the role of tibial osteotomy in the management of knee osteoarthritis using a customized ChatGPT: a readability and quality assessment by Stephen Fahy, Stephan Oehme, Danko Dan Milinkovic, Benjamin Bartek

“…Two ChatGPT-4 models were compared: a native version and a fine-tuned model (“The Knee Guide”) optimized for readability and source citation through Instruction-Based Fine-Tuning (IBFT) and Reinforcement Learning from Human Feedback (RLHF). The responses were evaluated for quality using the DISCERN criteria and readability using the Flesch Reading Ease Score (FRES) and Flesch-Kincaid Grade Level (FKGL).ResultsThe native ChatGPT-4 model scored a mean DISCERN score of 38.41 (range 25–46), indicating poor quality, while “The Knee Guide” scored 45.9 (range 33–66), indicating moderate quality. …”
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أنماط الافادة من شبکات التواصل الاجتماعیة و المهنیة لدى عینة من أعضاء هیئة التدریس بالجامعات المصریة... by د. اسماء محمد السید

“…The most positive forms of participation in the study community for the use ofsocial and professional networks varied between the access to news andinformation, learning new things through social networks, free expression ofopinion, enable overcoming the barrier of shyness between students andfaculty, and holding fruitful meetings and meetings With colleagues remotely,in addition to social networks as a means of communication and informationexchange, it is one of the most important educational tools to improve theeducational process.3. …”
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Deteksi Gulma Berdasarkan Warna HSV dan Fitur Bentuk Menggunakan Jaringan Syaraf Tiruan by Hurriyatul Fitriyah, Rizal Maulana

“…Those features were fed into a learning algorithm, Artificial Neural Network (ANN), to classify whether it is the plant or the weed. …”
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