Employing large language models for emotion detection in psychotherapy transcripts by Christopher Lalk, Kim Targan, Tobias Steinbrenner, Jana Schaffrath, Steffen Eberhardt, Brian Schwartz, Antonia Vehlen, Wolfgang Lutz, Julian Rubel

“…Additionally, other modalities and Natural Language Processsing (NLP)-based alliance assessment could be integrated.…”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…Statistically significant metrics were selected as features, and machine learning models were used to distinguish between patients and controls. …”
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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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Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials by Ali Ezzati, Christos Davatzikos, David A. Wolk, Charles B. Hall, Christian Habeck, Richard B. Lipton

“…We used baseline data for EXPEDITION to train regression‐based classifiers and machine learning classifiers to estimate probability of cognitive decline. …”
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Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector by Zhuofu Wang, Boning Li, Li Wang, Zhen Cao, Xi Zhang

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Hierarchical Sampling Representation Detector for Ship Detection in SAR Images by Ming Tong, Shenghua Fan, Jiu Jiang, Chu He

“…A detection framework based on hierarchical sampling representation is introduced to alleviate the phenomenon in this article. …”
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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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Machine Vision-Assisted Design of End Effector Pose in Robotic Mixed Depalletizing of Heterogeneous Cargo by Sebastián Valero, Juan Camilo Martinez, Ana María Montes, Cesar Marín, Rubén Bolaños, David Álvarez

“…To accomplish this, we propose an algorithm that leverages deep learning-based machine vision to determine the size, position, and orientation of boxes relative to the horizontal plane of a robot arm from sparse depth data. …”
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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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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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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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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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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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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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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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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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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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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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