The application of Large Language Models to the phenotype-based prioritization of causative genes in rare disease patients by Şenay Kafkas, Marwa Abdelhakim, Azza Althagafi, Sumyyah Toonsi, Malak Alghamdi, Paul N. Schofield, Robert Hoehndorf

“…Here, we evaluate the effectiveness of LLMs in prioritizing disease-associated genes compared to existing bioinformatics methods. …”
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Development of public exposure scenarios for land sites with residual radioactive contamination by I. L. Abalkina, A. A. Arakelyan, E. V. Mulenkova, A. A. Samoylov, S. V. Panchenko, M. Yu. Shirnin

“…Estimates of annual effective doses for the population are needed for decommissioning and remediation planning and determination of the values of radiation factors in the relevant projects.…”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…Unlike existing methods, SensorDBSCAN eliminates the need for manual labeling large amounts of data, cluster analysis, and pre-defining cluster numbers, providing greater usability in real-world cases. We validate the effectiveness of our method on the Tennessee Eastman Process (TEP) and its advanced simulations (TEP Rieth and TEP Rieker). …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…Visual-based deep learning detection methods, such as Transformer and Convolutional Neural Network (CNN) models, provide a cost-effective and adaptable solution. Although the Transformer-based detectors outperform CNN-based ones in detection tasks, their complicated model structures also lead to great computational cost and latency, limiting their application in resource-constrained environments or time-sensitive tasks. …”
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Experimental evaluation of thermal performance of innovative cement blocks made from construction waste in hot climate scenarios by Hatem Mahmoud, Ewald Kuoribo, Nourhan M. Waly

“…This could also inform future building codes and standards, encouraging the adoption of eco-friendly building materials.…”
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Deep learning model for grading carcinoma with Gini-based feature selection and linear production-inspired feature fusion by Shreyan Kundu, Souradeep Mukhopadhyay, Rahul Talukdar, Dmitrii Kaplun, Alexander Voznesensky, Ram Sarkar

“…This underscores the method’s robustness and effectiveness in accurately grading these types of cancers. …”
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Semantic enhancement and change consistency network for semantic change detection in remote sensing images by Zhenghao Jiang, Biao Wang, Peng Zhang, Yanlan Wu, Zhiyuan Ye, Hui Yang

“…Segment Anything Model 2 (SAM2) has proven effective in extracting global features. However, when processing remote sensing images, SAM2's performance declines. …”
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Digital Sexual Health Education for Young Adults (18–35 Years): A Scoping Review Protocol by Sanam Borji‐Navan, Shahrbanoo Salehin, Tahereh Naseri‐BooriAbadi, Shahrbanoo Goli, Mojgan Mirghafourvand

“…The findings are intended to inform the development and implementation of effective DSHE programs by researchers, educators, policymakers, and healthcare providers. …”
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Cybersecurity and Major Cyber Threats of Smart Meters: A Systematic Mapping Review by Jones Márcio Nambundo, Otávio de Souza Martins Gomes, Adler Diniz de Souza, Raphael Carlos Santos Machado

“…Despite advances in technology, there is still a lack of content and limited understanding of the specific cybersecurity threats facing these devices, as well as the effectiveness of existing mitigation strategies. This study analyzed 41 articles sourced from three academic databases (Scopus, Web of Science, and IEEE Xplore). …”
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Early-stage investigators’ experiences with an National Institutes of Health Pilot Award Program by Cyleste C. Collins, Jacqueline Dolata, Elodie Nonguierma, Mona Shediac-Rizkallah, Ashwini R. Sehgal, J. Daryl Thornton

“…Two reviewers independently identified significant quotes and created codes. Thematic analysis was used to develop relevant themes. …”
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JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation by Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain

“…Synthetic toxic prompts are generated using a fine-tuned GPT model, achieving an attack success rate of 95.1%, effectively addressing the class imbalance. Using transformer-based architectures, we train classifiers that achieved 97.25% accuracy in detecting jailbreak prompts and 100% accuracy in categorizing forbidden questions. …”
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Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data by Zhi He, Chengle Zhou, Liwei Zou, Suhong Zhou, Xueqiang Zhao

“…Accurately monitoring disaster effects is a crucial task in relief efforts (e.g. typhoon rescue). …”
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Simulation of stochastic transport and deposition of seed runaway electrons during disruption mitigation by Yuxiang Sun, Bo Li, Feng Wang, Di Hu, Yue Yuan, Long Cheng, Yuhao Li, the JOREK Team

“…To investigate such stochastic transport behavior as part of the ITER disruption mitigation scheme, we carry out guiding center simulations of the seed REs with conservative higher-order magnetic moments using the PTC code based on fluid fields produced by JOREK simulations. …”
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COVID-19 threatens the progress of humanised childbirth: a qualitative study of giving birth during the pandemic in Brazil by Tamia Ross, Conceição de Maria de Albuquerque, Jessica Chaves, Karla Maria Carneiro Rolim, Mirna Albuquerque Frota, Pamela J. Surkan

“…Women also experienced varying levels of effective communication, with some women citing they felt the staff were often fearful, and either avoidant or disrespectful. …”
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An SDR-Based GNSS-R CubeSat Payload: Hardware Development and Optimization of the Onboard Processing by Shah Zahid Khan, Yasir M. O. Abbas, Edwar Edwar, Abdul-Halim Jallad, Adriano Camps

“…This study presents the design and development of a cost-effective and compact 0.5U GNSS-R CubeSat payload that optimizes the GNSS-R data processing technique by using the auxiliary data from the reference signals, such as Pseudo-Random Noise (PRN) codes, and their Doppler frequencies in order to reduce the search space. …”
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DeLA: An extremely faster network with decoupled local aggregation for large scale point cloud learning by Weikang Yang, Xinghao Lu, Binjie Chen, Chenlu Lin, Xueye Bao, Weiquan Liu, Yu Zang, Junyu Xu, Cheng Wang

“…To address this, we theoretically demonstrate that if basic spatial information is encoded in point features, simple pooling operations can effectively aggregate features. This means the spatial relationships can be extracted and integrated with other features during aggregation. …”
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Burden in Colombia of COVID-19 in Adults and the Associated Clinical Characteristics: A Retrospective Database Analysis by Jair Arciniegas, Juan Manuel Reyes, Jhon Bolaños-López, Julia Regazzini Spinardi, Jingyan Yang, Farzaneh Maleki, Farley Johanna Gonzalez, Carlos Jose Bello, Ana Catalina Herrera-Díaz, Omar Escobar, Andrea Rubio, Monica Garcia, Luz Eugenia Pérez Jaramillo, Jorge La Rotta, Moe H. Kyaw, Carlos Fernando Mendoza

“…COVID-19 cases were identified with ICD-10 codes and confirmed by a laboratory test. The statistical analysis focused on descriptors of the frequency of events. …”
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Perceptions of first professional year medical undergraduates and biochemistry faculty on one minute paper: A feedback tool to interactive lectures by Smita Sonoli, Atteequeurrehman Harlapur, Vanishree Bubanale, Reshma Channashetti, Sangamma Sajjan, Sagar Nitturkar

“…Aim and Objectives: To evaluate the effectiveness and perceptions of the OMP as a feedback mechanism among first-year MBBS students and biochemistry faculty. …”
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Lung cancer survivorship research at the National Institutes of Health funded during Fiscal Years 2017–2024 by Michelle A. Mollica, Gina Tesauro, Lisa Gallicchio, Michelle Doose, Lindsey L. Page, Molly E. Maher, Emily Tonorezos

“…Survivorship research areas included care delivery (30.3%), late- or long-term effects (27.3%), and acute psychosocial or physiological toxicities (24.2%). …”
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Solar Radio Burst Detection Based on Deformable DETR by Mingming Wang, Guowu Yuan, Hao Zhou, Chengming Tan, Hao Wu

“…Moreover, existing detection models cannot effectively handle background noise interference in solar radio spectrograms and the significant scale variations among different burst types. …”
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