Model of recreational and training sessions based on the use of funds aqua professionally applied in the preparation of students of economics by N. V. Petrenko, T. A. Loza

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WF-SwinUnet: A Window Fusion-based RFI Segmentation Model and Its Application in FAST by QingYun Li, MingHui Li, Dongjun Yu, Jie He

“…However, the traditional thresholding method cannot adapt to the complex baseline noise because it relies on manual parameter adjustment and assumes a constant threshold value, it also faces bottlenecks such as the failure to detect weak interferences and the ambiguous positioning of the boundary. …”
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An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization by Shehu Lukman Ayinla, Azrina Abd Aziz, Micheal Drieberg, Misfa Susanto, Afidalina Tumian, Mazlaini Yahya

“…However, achieving the necessary precision for most smart applications has proven difficult due to various challenges, including the time-varying characteristics of indoor RSSI, device heterogeneity, and ambiguity in the positional fingerprints. To address these concerns, Artificial Intelligence (AI) techniques such as Machine Learning (ML) and Deep Learning (DL) have been used to classify and predict indoor locations. …”
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The impact of Ethno-Realistic Mathematics Education-based e-module in strengthening students’ problem-solving abilities by Eka Kevin Alghiffari, Rully Charitas Indra Prahmana, Brian Evans

“…The outcome is an Ethno-RME-based e-module focused on number patterns, validated through expert reviews and positively evaluated for practicality by students. …”
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Prediction of Social Anxiety Based on Distress Tolerance and Emotional Self-Regulation among Adolescents with Divorced Parents by Fatemeh Foroozan, Kiumars Farahbaksh

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RPM-ETC: A Risk Prediction Model for Elevators Based on Transformer and Self-Temporal Compression Mechanism by Haoxiang Yu, Libin Wang, Weiquan Xu, Siya Mi, Yu Zhang

“…Leveraging deep learning technologies, this study proposes a Risk Prediction Model based on Elevator Transformer and Self-temporal Compression Mechanism (RPM-ETC). …”
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Evaluation of Flavor Type of Tobacco Blending Module: A Prediction Model Based on Near-Infrared Spectrum by Lin Wang, Yuhan Guan, Yaohua Zhang

“…Therefore, the proposed method of predicting flavor types based on near-infrared spectral features plays a valuable role in facilitating rapid positioning, scientific evaluation, and cigarette formulation design for tobacco blending modules, thereby assisting decision-making processes in the tobacco industry.…”
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Climate change, migration, and health: Development of a case-based workshop for immigrant and refugee health professionals by Eleanor H. Emery, Tess Wiskel, Kimberly Humphrey, Gaurab Basu

“…Conclusion: This workshop offers one model for how a brief educational intervention using case-based learning and the tenets of community organizing can be used to introduce a new community of providers to climate change work.…”
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Pre-Service Teachers’ Perspectives on the Implementation of Song-Based Instruction in Teaching English to Early Childhood Learners by Danti Pudjiati, Andi Musda Mappapoleonro, Hisham Abd. Malik, Tira Nur Fitria

“…They agree that songs make learning enjoyable and improve auditory skills, aligning with existing literature on the benefits of song-based education. …”
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Enhanced fire hazard detection in solar power plants: an integrated UAV, AI, and SCADA-based approach by Andrii Lysyi, Anatoliy Sachenko, Pavlo Radiuk, Mykola Lysyi, Oleksandr Melnychenko, Oleksii Ishchuk, Oleg Savenko

“…A custom-trained YOLOv8 deep learning model performs automated defect detection from the captured imagery. …”
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Investigating the Relationship between Images and Text in First Grade Arabic Textbooks Based on the "Warsh and Mite" Classification by Amin Nazari Terizi, Fazllolah Mirghaderi

“…Many researchers in the field of education pay close attention to the coherence between the images and the texts of the book because the more the relationship and coherence between images and text increase, the better the level of teaching and learning process will be. Therefore, the aim of the present study is to investigate the relationship between images and text of first grade Arabic textbooks based on three levels of "Warsh and Mite" classification. …”
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Evaluating the operational and financial performance of Community-Based visiting nursing center for elderly with the balanced scorecard model by Ji Young Lim, Seong Kwang Kim

“…Methods A secondary data analysis was conducted using simulation data from the 3 S Business Intelligence System (3 S-BIS) program, reflecting operational data from a home-based long-term care facility in Seoul (January–December 2021). …”
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’[We] learned how to speak with love’: a qualitative exploration of accredited social health activist (ASHA) community health worker experiences of the Mobile Academy refresher tra... by Amnesty Elizabeth LeFevre, Kerry Scott, Sara Chamberlain, Osama Ummer, Manjula Sharma, Dipanwita Gharai, Bibha Mishra, Namrata Choudhury

“…Introduction Mobile Academy is a mobile-based training course for India’s accredited social health activist (ASHA) community health workers (CHW). …”
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Resource-Exploration-Oriented Lunar Rocks Monocular Detection and 3D Pose Estimation by Jiayu Suo, Hongfeng Long, Yuebo Ma, Yuhao Zhang, Zhen Liang, Chuan Yan, Rujin Zhao

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Evaluation of a Curriculum-Based Nutrition Education Intervention Protocol in Elementary Schools: Nonrandomized Feasibility Study by Jacqueline Marie Brown, Nicholas Rita, Beatriz Franco-Arellano, Ann LeSage, Joanne Arcand

“…After the intervention, participants reported a positive affective experience (26/41, 63%) and learning something new about healthy eating (31/41, 76%). …”
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A Real-Time Cotton Boll Disease Detection Model Based on Enhanced YOLOv11n by Lei Yang, Wenhao Cui, Jingqian Li, Guotao Han, Qi Zhou, Yubin Lan, Jing Zhao, Yongliang Qiao

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Prediction of the Trimer Protein Interface Residue Pair by CNN-GRU Model Based on Multi-Feature Map by Yanfen Lyu, Ting Xiong, Shuaibo Shi, Dong Wang, Xueqing Yang, Qihuan Liu, Zhengtan Li, Zhixin Li, Chunxia Wang, Ruiai Chen

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A Convolutional Neural Network–Based Approach for Detecting Solar System Objects in Wide-field Imaging by Aram Lee, J. J. Kavelaars, Hossen Teimoorinia, Wesley Fraser, Edward Ashton

“…We present a deep learning method that utilizes convolutional neural networks (CNNs) to discover trans-Neptunian objects (TNOs) in wide-field survey imaging data. …”
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Elevator fault precursor prediction based on improved LSTM-AE algorithm and TSO-VMD denoising technique. by Hao Cao, Xiaoyan Du

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MSTT: A Multi-Spatio-Temporal Graph Attention Model for Pedestrian Trajectory Prediction by Qingrui Zhang, Xuxiu Zhang, Zilang Ye, Jing Mi

“…Additionally, an attention-based MSTT model has been developed, which utilizes an end-to-end approach for learning the structure of the MSTG. …”
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