Precise application of water and fertilizer to crops: challenges and opportunities by Yingying Xing, Xiukang Wang

“…This review highlights the novel combination of advanced sensing technologies and data analytics in precision agriculture, enabling targeted interventions tailored to specific field conditions. …”
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Predictors of Academic and Fieldwork Performance in Occupational Therapy Students: A Systematic Review by Yun Wang, Lai-Ha Chung, Chao-Yi Cheng, Wei-Jiun Wang, Li-Chin Chang, Yu-Ming Huang, Sheng-Yuan Tso, Yu-Lin Chen, Ching-Yi Wu

“…Most were cross-sectional studies, followed by cohort, retrospective analysis of secondary data, and exploratory studies. …”
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A systematic review of UAV and AI integration for targeted disease detection, weed management, and pest control in precision agriculture by Iftekhar Anam, Naiem Arafat, Md Sadman Hafiz, Jamin Rahman Jim, Md Mohsin Kabir, M.F. Mridha

“…The focus of this study is on the incorporation of machine learning and deep learning algorithms into these UAV systems. …”
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The role of augmentative and alternative communication for children with autism: current status and future trends by Iacono T, Trembath D, Erickson S

“…Data pertaining to the quality indicators of included studies, effect sizes for intervention outcomes, and evidence for effectiveness were extracted for descriptive analysis.Results: The search yielded 17 systematic reviews. …”
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AuxTransUNet: Enhancing Remote Sensing Image Segmentation of Open-Pit Mining Areas in Qinghai–Tibet Plateau by Fangzhou Hong, Guojin He, Guizhou Wang, Zhaoming Zhang, Yan Peng

“…The results highlight its potential as a robust and scalable solution for large-area mining monitoring using remote sensing data.…”
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Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382 by Liqin Linghu, Yaxin Huang, Lixia Qiu, Xuchun Wang, Jia Zhang, Lin Ma, chenglian Li, Lijie Wang

“…Variables that showed statistical significance were included in the construction of the Bayesian model. Bayesian structure learning was achieved using the Max-Min Hill-Climbing algorithm, and parameter learning utilized maximum likelihood estimation. …”
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CSSA-YOLO: Cross-Scale Spatiotemporal Attention Network for Fine-Grained Behavior Recognition in Classroom Environments by Liuchen Zhou, Xiangpeng Liu, Xiqiang Guan, Yuhua Cheng

“…The increasing use of visual and multi-modal sensors in smart classrooms has made it possible to continuously capture rich behavioral data. However, challenges such as lighting variations, occlusions, and diverse behaviors complicate sensor-based behavior analysis. …”
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Australian Dentists' Knowledge of the Consequences of Interpretive Errors in Dental Radiographs and Potential Mitigation Measures by Shwetha Hegde, Shanika Nanayakkara, Stephen Cox, Rajesh Vasa, Jinlong Gao

“…Materials and Methods This online anonymized survey assessed Australian dental practitioners' perceptions of the consequences of these errors and potential mitigation measures using ranking, Likert scale, and open‐ended questions. The data were analyzed using descriptive statistics and bivariate analysis. …”
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MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction by Feng Gao, Jiaen Fei, Yuankang Ye, Chang Liu

“…With the rapid advancement of data-driven deep learning methods, deep learning-based spatiotemporal sequence forecasting models have seen widespread application in temperature spatiotemporal forecasting. …”
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AI-Driven Handover Management and Load Balancing Optimization in Ultra-Dense 5G/6G Cellular Networks by Chaima Chabira, Ibraheem Shayea, Gulsaya Nurzhaubayeva, Laura Aldasheva, Didar Yedilkhan, Saule Amanzholova

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An examination of online physical education participation and its effects on health promotion by Yu-Tai Wu, Yu-Feng Wu, Jian-Hong Ye, Weiguaju Nong, Jhen-Ni Ye

“…While emotional and cognitive engagements were also shown to positively influence perceived psychological health, behavioral engagement did not significantly impact psychological health promotion. In addition, the analysis of the quality of online PE courses identified five main influencing factors: (1) lack of learning based on real experiences, (2) insufficient peer interaction, (3) environmental interference, (4) poor internet connection, and (5) poor learning uptake.DiscussionThe findings showed how students’ physical and mental health is promoted through behavioral, emotional, and cognitive engagement in the context of online physical education courses. …”
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Physician Attitudes About Ultrasound‐Guided Procedures by Emma Barry, Sanyukta Deshmukh, Vivian Zhang, Antoan Koshar, Haider Butt, Kenneth Rowe, Siamak Moayedi

“…Methods A voluntary, cross‐sectional survey of physicians at a single site was conducted using a five‐point Likert scale. Data analysis included both descriptive and inferential statistical analyses and stratified by categorical descriptors, including variables of formal training, years of experience, and specialty of practice. …”
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Their voices matter: student and professional perspectives on overcoming school attendance problems in the context of social, emotional, and behavioral difficulties by Chiara Enderle, Chiara Enderle, Louisa Kotschy, Heinrich Ricking, Susanne Kreitz-Sandberg

“…The findings reveal that trust-based relationships, coordinated school-based care, flexible learning pathways, and clear communication were central strategies identified by both groups. …”
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Gender differences in the association between community care and quality of life among older adults in China by Ying Cui, Suyeon Kim, Selin Woo, Mankyu Choi

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Artificial intelligence-driven predictive framework for early detection of still birth by Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, Lucia Cascone, Nisreen Innab, Imran Ashraf

“…This research work adopts the Tabular Prior Data Fitted Network (TabPFN) model which was originally designed to solve small tabular classification. …”
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Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications by Gradimirka Popovic , Zaklina Spalevic , Luka Jovanovic , Miodrag Zivkovic , Lazar Stosic , Nebojsa Bacanin 

“…Therefore, the accurate prediction of solar power production is vital for efficient grid management and energy trading. Machine learning models have emerged as a prospective solution, as they are able to handle immense datasets and model complex patterns within the data. …”
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Development of Student Worksheets Based on Engineering Design Process to Enhancing Student’s Scientific Literacy in Middle School Students by Iwang Jouvanda Kasah, Pramudya Dwi Aristya Putra, Rusdianto Rusdianto

“…The validity analysis yielded a result of 90%, categorizing the EDP-based student worksheets as very valid. …”
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Extraction of the essential elements for urban systems modelling – A word-to-vector approach by Tatenda Hatidani Katsumbe, Arnesh Telukdarie, Megashnee Munsamy, Christian Tshukudu

“…Through word2vector analysis, machine learning techniques are utilised to perform the quantitative mapping of each urban system into corresponding system characteristics, and quantitatively illustrate them based on relative importance. …”
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Socioeconomic gradient in the developmental health of Canadian children with disabilities at school entry: a cross-sectional study by Martin Guhn, Marni Brownell, Eric Duku, Magdalena Janus, Teresa Bennett, Barry Forer

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Enhancing ovarian cancer prognosis with an artificial intelligence-derived model: Multi-omics integration and therapeutic implications by You Wu, Kunyu Wang, Yan Song, Bin Li

“…The AIDPI model was developed and refined using univariate Cox regression analysis and an ensemble of machine learning algorithms. …”
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