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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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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Development of a Guidance System for an Agricultural Wheeled Robotic Platform in Row Crop Fields by Hossein Behfar, Fahime Hashemi, Arezu Nobakht

“…The Hough transform method was used to determine the position of the crop rows. …”
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Human motor control during movements with high demands by Paul Kaufmann, Willi Koller, Elias Wallnöfer, Basilio Goncalves, Clara Scheer, Juliana Exel, Olivia Froschauer, Catherine Hlavac, Mathias Wiplinger, Lorenz Zweier, Arnold Baca, Hans Kainz

“…One common theory in the field of motor control posits the existence of muscle synergies (Turpin et al., 2021). …”
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Dental Student Perspectives of a Comprehensive-Based Teaching Methodology: A Confidence, Effectiveness, and Challenge Report by Susan Hattar, Abeer AlHadidi, Sandra Altarawneh, Suha Abu-Ghazaleh, Mohammad Hammad

“…Our department of conservative dentistry decided to reform the educational model of teaching from a traditional requirement-based model to a hybrid model incorporating comprehensive care treatment. …”
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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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Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion by Susana Dias, Pedro J. S. C. P. Sousa, João Nunes, Francisco Afonso, Nuno Viriato, Paulo J. Tavares, Pedro M. G. P. Moreira

“…This is a complex problem with multiple contributing factors, from environmental to psychological. While machine learning (ML) has proven effective in related applications, such as autonomous road-based driving, the railway sector faces unique challenges due to limited image data availability and difficult data acquisition, hindering the applicability of conventional ML methods. …”
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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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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…From this number of samples, 150 data were separated for training data and 48 data as model test based on a random function. In the last stage, i.e. modeling, the adaptive neural-fuzzy inference method was used for the model. …”
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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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«Flipped» class – innovative model of training by M. V. Voronina

“…The study showed that there is a lack of:– Qualitative research for a deeper understanding of the phenomenon of the “Inverted” training in specific contexts;– Scientifically based research that examines the various aspects of the tried and tested implementation of the “Inverted” training;– Working programs and training materials for implementing the “Inverted” training, based on the reasonable theoretical foundations and methods of evaluation;– Recommendations for researchers, practitioners and policy-makers of the “Inverted” training to develop action plans; Theoretical and practical contribution of the research:– The analysis of the existing studies on the “Flipped” class of domestic and foreign scientists is conducted;– The positive and negative aspects of the “Flipped” class model are revealed;– Based on the analysis of the students’ survey, the issues are considered, related to the segmentation of the field of education, namely, the effectiveness of the application of the “Inverted” learning.Conclusion. …”
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Application of Artificial Intelligence Technology for Prompt Diagnosis of Cast Iron Mechanical Properties by A. Yu. Kutsepau, A. P. Kren, A. V. Nikiforov, N. K. Tursunov

“…Feasibility of effective use of machine learning to evaluate hardness has been demonstrated by comparing of calculated hardness values with data obtained with standard testing methods. …”
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