Ultrawideband Non-Line-of-Sight Classification Using Transformer-Convolutional Neural Networks by Hae-Ji Hwang, Seon-Geun Jeong, Won-Joo Hwang

“…Experimental results on a public dataset show that the proposed model outperforms benchmark methods in widely used evaluation metrics, highlighting its effectiveness in improving non-line-of-sight detection for ultrawideband-based indoor positioning.…”
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An Efficient Model for Real-Time Traffic Density Analysis and Management Using Visual Graph Networks by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…The paper describes a method for improving urban traffic studies using Real-time Dense Analysis and Management using Visual Graph Networks (RDAMVGN) that utilizes deep learning techniques along with Visual Graph Networks based on visualizations. …”
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Bridging foreign language classroom anxiety to Thai students' Chinese language success by Li Pan, Huiqin Luo, Xianyue He, Yan Ye

“…The results showed that FLCAS sub-constructs did not differ significantly between genders but did differ significantly with Chinese learning experience. HSK scores, however, differed significantly by both gender and Chinese learning experience. …”
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Efficacy of a Web-Based Integrated Growth Mindset Intervention on Reducing Anxiety Among Social Work and Counseling Practicum Trainees: Protocol for a 2-Arm Randomized Controlled T... by Yongyi Wang, An Xi, Stella S K Wong, Kong Yam, Janet Tsin Yee Leung, Shimin Zhu

“…Research stated that a positive mindset promotes better learning and mental status. …”
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EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module by Guangxin He, Wei Wu, Jing Han, Jingjia Luo, Lei Lei

“…Aiming to address the limitations of existing deep learning methods in radar echo extrapolation, this paper proposes a spatio-temporal long short-term memory (LSTM) network model that integrates an attention mechanism and the full-dimensional dynamic convolution technique. …”
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A Novel Lateral Control System for Autonomous Vehicles: A Look-Down Strategy by Farzad Nadiri, Ahmad B. Rad

“…A Proportional-Integral-Derivative (PID) controller is designed to maintain the vehicle’s position in the center of the road. We compare this system’s accuracy, lateral steadiness, and computational efficiency against (1) a conventional bird’s-eye view lane detection method and (2) a popular deep learning-based lane detection framework. …”
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Technology for the development and use of electronic educational resources in the educational process of a university by M. V. Makhmutova, E. I. Senicheva, O. A. Akimova

“…The study was conducted in accordance with the pedagogical conditions of student learning and the methodological requirements for the educational product. …”
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A study on predicting the risk of coronary artery disease in OSAHS patients based on a four-variable screening tool potential predictive model and its correlation with the severity... by Yanli Yao, Yu Li, Yulan Chen, Xuan Qiu, Gulimire Aimaiti, Ayiguzaili Maimaitimin

“…A random forest machine learning algorithm was used to evaluate the importance of each risk factor. …”
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Non-cognitive factors influencing early stroke symptom recognition among Korean working-class males with hypertension and diabetes: an integrated multi-output gradient boosting and... by Haewon Byeon

“…Participants were divided into two groups based on their recognition of early stroke symptoms. …”
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Subjective cognitive decline predicts longitudinal neuropsychological test performance in an unsupervised online setting in the Brain Health Registry by Jae Myeong Kang, Manchumad Manjavong, Chengshi Jin, Adam Diaz, Miriam T. Ashford, Joseph Eichenbaum, Emily Thorp, Elizabeth Wragg, Kenton H. Zavitz, Francesca Cormack, Anna Aaronson, R. Scott Mackin, Rachana Tank, Bernard Landavazo, Erika Cavallone, Diana Truran, Sarah Tomaszewski Farias, Michael W. Weiner, Rachel L. Nosheny

“…We hypothesized that the Everyday Cognition Scale (ECog), a subjective change measure, predicts longitudinal change in cognition in the Brain Health Registry (BHR), an online registry for neuroscience research. Methods This study included BHR participants aged 55 + who completed both the baseline ECog and repeated administrations of the CANTAB® Paired Associates Learning (PAL) visual learning and memory test. …”
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A Competency-Based Ultrasound-Guided Breast Biopsy Training Program for Radiologists From Low-and-Middle-Income Countries that Leverages Mobile Health Technology (NCT04501419): A S... by Adeleye Dorcas Omisore MBBS, Adedeji Ayoola Egberongbe MBBS, Lydia Eleanor Pace MD, Sughra Raza MD, Rachael Adeyanju Akinola MBChB, Millicent Olubunmi Obajimi MD, Varadan Sevilimedu DrPH, Yolanda Bryce MD, Victoria Lee Mango MD, Olusegun Isaac Alatise MBChB, T. Peter Kingham MD, Elizabeth Anne Morris MD, Elizabeth Jane Sutton MD

“…The competency-based curriculum incorporates blended learning (e-learning and trainer-led), simulation (supervised and unsupervised), and patient biopsy (supervised and unsupervised) components. …”
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Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization by Martina Cotena, Angela Ayobi, Colin Zuchowski, Jacqueline C. Junn, Brent D. Weinberg, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun, Mar Roca-Sogorb, Yasmina Chaibi, Sarah Quenet

“…This study evaluates the clinical benefits of integrating a deep learning (DL)-based application for the automated detection and prioritization of AD on chest CT angiographies (CTAs) with a focus on the reduction in the scan-to-assessment time (STAT) and interpretation time (IT). …”
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Aprender a manejar los conflictos en las clases de educación física a partir del juego deportivo: un modelo de enseñanza para la comprensión (Learning to manage conflicts in physi... by Robert Cebolla-Baldoví, Laura García-Raga

“…In the PE context, it is concluded that the tactical-sports method could be an alternative to educate positive conflict management, enabling students to face communication barriers and learn to counteract their destructive stereotypes. …”
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XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance by Yunus Emre Esen, Berk Kaan Cetincan, Kubra Yayan, Huseyin Guray Gurlek, Ugur Yayan

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AI-Driven Background Segmentation for High-Throughput 3D Plant Scans by Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models by Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin

“…We introduce a novel anchor-based resampling method as an augmentation technique. …”
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Estimating a 3D Human Skeleton from a Single RGB Image by Fusing Predicted Depths from Multiple Virtual Viewpoints by Wen-Nung Lie, Veasna Vann

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OSAD: Open-Set Aircraft Detection in SAR Images by Xiayang Xiao, Zhuoxuan Li, Xiaolin Mi, Dandan Gu, Haipeng Wang

“…To address these challenges, a novel open-set aircraft detector for SAR images is proposed, named open-set aircraft detection, which is equipped with three dedicated components: global context modeling (GCM), location quality-driven pseudolabeling generation (LPG), and prototype contrastive learning (PCL). GCM effectively enhances the network's representation of objects by attention maps that are formed by capturing long sequential positional relationships. …”
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PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

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Indoor Air Wellness: A Predictive Model for Pollution Control Using Advanced AI Techniques by Kalyan Chatterjee, Muntha Raju, Bhoomeshwar Bala, U. Nikitha, Gampala Prabhas, Naim Ahmad, Ayman Qahmash, Wade Ghribi, Bernardo Lemos, Saurav Mallik

“…The Analysis phase implements control measures based on these predictions, leading to a 60% improvement in energy utilization in green buildings compared to traditional methods. …”
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