Data Dashboard Acceptability, Use, and Perceived Effectiveness in Disseminating Local Overdose Data and Resources in a Rural New York State County: A Cross-Sectional Study by Zhongxuan He, Monika Salvage, Corinna A Noel

“…The 10-minute survey assessed usage patterns and motivations to access the dashboard as well as the dashboard’s ease of use, most valued design features, and overall perceived effectiveness in communicating information on overdoses and local resources. …”
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Unsupervised Binary Classifier-Based Object Detection Algorithm with Integrated Background Subtraction Suitable for Use with Aerial Imagery by Gabija Veličkaitė, Ignas Daugėla, Ivan Suzdalev

“…Unlike conventional supervised models, SARGAS is trained in a partially unsupervised manner, learning to recognize feature patterns without requiring labeled data. The algorithm achieved a recall of 93%, demonstrating strong detection capability even under challenging conditions. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Feature analysis revealed RHOB, DT, NPHI, and Vp as the most significant inputs for predicting HRQI. …”
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Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry by Linn B. Norbom, Bilal Syed, Rikka Kjelkenes, Jaroslav Rokicki, Antoine Beauchamp, Stener Nerland, Azadeh Kushki, Evdokia Anagnostou, Paul Arnold, Jennifer Crosbie, Elizabeth Kelley, Robert Nicolson, Russell Schachar, Margot J. Taylor, Lars T. Westlye, Christian K. Tamnes, Jason P. Lerch

“…T1w/T2w-ratio features were the most relevant for demarcation, followed by surface area. …”
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SYNOVIAL MEMBRANE CHANGES IN PATIENTS WITH RHEUMATOID ARTHRITIS REVEALED DURING ARTHROSCOPY by E. B. Komarova

“…Exudative or proliferative processes accompanied by joint destruction may predominate in the synovial membrane (SM) in different stages of rheumatoid arthritis (RA). The features of SM changes should be considered in the early diagnosis of RA and in the development of combination treatment for this disease.Objective: to study arthroscopic SM changes in patients with different RA durations and different blood anti-cyclic citrullinated peptide (anti-CCP) antibody levels.Subjects and methods. 37 patients with RA underwent arthroscopy with an arthroscope of a 2.4-mm diameter and 30° angle (Karl Storz GmbH, Germany). …”
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Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

“…The results demonstrate that selecting an optimal activation function substantially enhances convolutional neural network classification of complex batik patterns. The findings offer practical guidance for development of resource aware batik identification systems in support of cultural digitization and education initiatives.…”
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Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data by Kosaku Nakano, Sophia Vögler, Kenji Tanaka

“…While the study is constrained by a dataset featuring repetitive driving patterns, it highlights the significant potential of transformer for SOH estimation in EVs and offers valuable insights for future data collection and model development.…”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…In the modern era of computers, numerous disciplines are witnessing the development of massive data volumes. Statistics are important in healthcare engineering because they provide insights into various diseases and match patient data. …”
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TableBorderNet: A Table Border Extraction Network Considering Topological Regularity by Jing Yang, Shengqiang Zhou, Xialing Li, Yuchun Huang, Honglin Jiang

“…The framework captures structural context by guiding convolutional feature extraction along explicit row and column directions, enabling more accurate delineation of table borders. …”
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Personality typology, emotional needs, and romantic relationship stability in Chinese college students: A cultural perspective on MBTI dynamics by Jiaxin Li, Gu Fang, Yiyang Li

“…Structural equation modeling further indicated that gender and personality interactions influence emotional stability, with distinct patterns observed among NT, SJ, and SP types. A U-shaped pattern of emotional stability across academic years was identified, with freshmen showing the highest levels, declining in juniors, and slightly recovering in seniors. …”
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Emotional resonance and rational reflection in hybrid space: a cross-platform study of public opinion evolution in youth digital collective action by Jia Jia Hao, Xiaotong Dong, Yingyue Li, Shuang Li

“…Research conclusion/Results The study found Weibo exhibited “emotional resonance” with dominant positive emotions, effectively mobilizing offline action, while Zhihu featured diverse emotional profiles with rational debate emphasis. …”
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A Comprehensive Review of EEG-Based Seizure Detection Techniques by Goldwyn Sudhakar Jebaraj, Konguvel Elango

“…By discussing the pros and cons of different methods, current limitations, and ethical considerations, this review seeks to help new researchers develop better EEG-based seizure classification and prediction systems with real-world impact for patients.…”
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Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures by Weijie Zhang, Veronika Belcheva, Tatiana Ermakova

“…The models are assessed based on classification accuracy and interpretability, applying Grad-CAM and Attention-Rollout to analyze decision-making patterns. Results indicate that hybrid models outperform both standalone CNNs and ViTs, achieving a better balance between local feature extraction and global context awareness. …”
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Time-series and deep learning approaches for renewable energy forecasting in Dhaka: a comparative study of ARIMA, SARIMA, and LSTM models by Mohammad Liton Hossain, S. M. Nasif Shams, Saeed Mahmud Ullah

“…These findings underscore the transformative potential of deep learning in enhancing renewable energy forecasting accuracy in developing urban regions, providing critical insights for future energy policy and infrastructure development in Dhaka City.…”
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Synchronized Survey Scan Approach Allows for Efficient Discrimination of Isomeric and Isobaric Compounds during LC-MS/MS Analyses by Keabetswe Masike, Ntakadzeni Madala

“…Thus, the method was shown to distinguish (by differences in fragmentation patterns) between diCQA and their isobars, caffeoylquinic acid (CQA) glycosides. …”
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A Graph Representation Learning-Based Method for Event Prediction by Xi Zeng, Guangchun Luo, Ke Qin, Pengyi Zheng

“…Predicting events allows for the exploration of the developmental trajectories and summarization of patterns associated with these events. …”
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Deep Learning‐Based 3D Microseismic Event Direct Location Using Simultaneous Surface and Borehole Data by Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah

“…Abstract Microseismic monitoring is crucial for characterizing and assessing fracture systems developed during subsurface operations like geothermal reservoir development, CO2 sequestration, and hydraulic fracturing. …”
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Engineered wood products for circular construction: a multi-factor evaluation of lamination methods by Dan Bergsagel, Felix Heisel, Jasper Owen, Maxwell Rodencal

“…These results are considered appropriate for the future development of larger dimension and longer length multi-lamination structural bending elements.…”
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CircDock6 drives metabolic dysfunction–associated steatotic liver disease progression in mice and mouse hepatocytes via mmu-let-7g-5p/insulin-like growth factor 1 receptor regulati... by Hongpeng Lu, Xiaoyun Ding, Peifei Li

“…Objective Circular RNAs belong to a category of noncoding RNAs that feature a unique continuous, covalently bonded ring configuration. …”
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Meteorological Assessment of Vertical Axis Wind Turbine Energy Microgeneration Potentials Across Two Swiss Cities Located in Complex Terrain by Aldo Brandi, Gabriele Manoli

“…These results highlight the need for research on urban wind energy featuring detailed city‐scale assessments that account for urban heterogeneities and regional circulation patterns, to inform future planning investments and engineering development.…”
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