Analysis of entropy generation in tri-hybrid nanofluid flow towards a spinning disk under the influence of hall effect and variable viscosity by Moh Yaseen, Ritu Bartwal, Anum Shafiq, Sawan Kumar Rawat, Qasem M. Al-Mdallal, Umesh Khanduri, Tabassum Naz Sindhu

“…A validation of numerical code is done by a comparison with results from existing literature. …”
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GATOR1 gene variants in focal epilepsy by Kovačević Maša, Vojvodić Nikola, Novaković Ivana

“…The genes listed above code the three subunits that comprise the GTPase-activating protein (GAP) activity towards Rags 1 (GATOR1) complex, a negative regulator of the mechanistic target of rapamycin (mTOR) complex 1 (mTORC1). …”
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Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…Abstract Recent advances in Artificial Intelligence (AI), such as the development of large language models like ChatGPT, have blurred the boundaries between human and AI-generated text. …”
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DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images by Michael Fu, Chakkrit Tantithamthavorn, Trung Le

“…Despite progress, current methods face two key limitations: 1) reliance on CNNs that capture local but may overlook global features, and 2) the use of pre-trained models from natural image datasets like ImageNet, which lack the contextual relevance of medical imaging, leading to suboptimal performance. …”
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Elucidating cognitive processes in cardiac arrest team leaders: a virtual reality-based cued-recall study of experts and novices by Vitaliy Popov, Bryan Harmer, Sophie Raphael, Isabella Scott, Alanson P. Sample, James M. Cooke, Michael Cole

“…Background Team leadership during medical emergencies like cardiac arrest resuscitation is cognitively demanding, especially for trainees. …”
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Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery With Contextual Data by Hanlin Tian, Yuxiang Feng, Mohammed Quddus, Yiannis Demiris, Panagiotis Angeloudis

“…While traditional models use data sources like road traffic conditions, geometry, and signals, they often miss the spatial interactions between road networks and buildings. …”
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Infrared and visible image fusion network based on multistage progressive injection by Kaixuan Chang, Jianhua Huang, Xiyan Sun, Jian Luo, Shitao Bao, Huansheng Huang

“…Finally, we apply fusion methods to object detection scenarios, and the results show that MPIFusion exhibits significant superiority in such scenarios, providing more robust and reliable image support. The source code is available at https://github.com/Kaixuan-Chang/MPIFusion .…”
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TARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation by Yumei Zhang, Yulin Zhou, Xiaojiao Lv, Jinshan Li, Heng Lu, Yuping Su, Honghong Yang

“…Music generation by AI algorithms like Transformer is currently a research hotspot. …”
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CSSDet: small object detection via cross-scale feature enhancement on drone-view images by Gui Cheng, Qing Ding, Bowen Cai, Chaoya Dang, Yu Wang, Xiaolong Zuo, Zhenfeng Shao

“…Object detection on drone-view images is vital for applications like intelligent transportation, abnormal behavior detection, and urban surveillance. …”
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Large wetlands representation in SWAT+: the case of the Pantanal in the Paraguay River Basin by Osvaldo Luis Barresi Armoa, Jeffrey G. Arnold, Katrin Bieger, Sabine Sauvage, José Miguel Sánchez-Pérez

“…The main objective of this study is to use the concept of Landscape Units and connectivity to represent the water exchanges between uplands, floodplains and channels. We developed code routines to (1) temporally retain surface and subsurface water coming from the upland into the floodplain, by assuming a reservoir-like floodplain behavior, and (2) represent overbank flow, aiming to fully simulate the interactions between channels and floodplains. …”
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Fine-Tunned Segment Anything Model (SAM) for Reservoir Extractions Compared With Popular CNNs: An Experiment for Space-Borne Synthetic-Aperture Radar Images by Nguyen Hong Quang, Hanna Lee, Eui-Myoung Kim, Gihong Kim

“…The freshwater resource is invaluable and indispensable for any nation like the Republic of Korea. Recently, deep learning (DL), AI models have become more popular and applied frequently for surface water studies. …”
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UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines* by Qianrong Guo, Saiveth Hernandez-Hernandez, Pedro J. Ballester

“…Scientific contribution This work advances the field by introducing UMAP clustering as a robust splitting method for molecular datasets, improving over traditional methods like Butina clustering and especially scaffold splits. …”
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Applying authoritative knowledge to better understand preparation for breastfeeding by Margaret S. Butler, Margaret S. Butler, Sera L. Young, Sera L. Young, Lauren Keenan-Devlin, Lauren Keenan-Devlin

“…Audio recorded interviews were coded using a priori themes and iterative code development. …”
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Relationship Between the Dimensions of Quality of Work Life and General Health in Iranian Nurses by Khadijeh Asadi, Maryam Niknami, Masoumeh Jafari Asl, Ehsan Kazemnezhad Leyli

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The Impact of Wind Accretion in Evolving Symbiotic Systems by Raul F. Maldonado, Jesús A. Toalá, Janis B. Rodríguez-González, Emilio Tejeda

“…We model systems where 0.7 and 1 M _⊙ white dwarfs (WDs) accrete material from solar-like stars with initial masses of 1, 2, and 3 M _⊙ . …”
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Assessing the reliability of medical resource demand models in the context of COVID-19 by Kimberly Dautel, Ephraim Agyingi, Pras Pathmanathan

“…Abstract Background Numerous medical resource demand models have been created as tools for governments or hospitals, aiming to predict the need for crucial resources like ventilators, hospital beds, personal protective equipment (PPE), and diagnostic kits during crises such as the COVID-19 pandemic. …”
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ELTrack: Events-Language Description for Visual Object Tracking by Mohamad Alansari, Khaled Alnuaimi, Sara Alansari, Sajid Javed

“…The integration of Natural Language (NL) descriptions into Visual Object Tracking (VOT) has shown promise in enhancing the performance of RGB-based tracking by providing richer, contextually aware information that helps to address issues like appearance variations, model drift, and ambiguous target representation. …”
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Role of Chemiluminescence examination as non-invasive diagnostic tool in early detection of Leukoplakia by Nidhi Jain, Anil Kumar Nagarajappa, Meenakshi Bhasin, Divya Pandya, Kaushal Pati Tripathi

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A Comprehensive Polish Medical Speech Dataset for Enhancing Automatic Medical Dictation by Andrzej Czyżewski, Sebastian Cygert, Karolina Marciniuk, Maciej Szczodrak, Arkadiusz Harasimiuk, Piotr Odya, Marina Galanina, Piotr Szczuko, Bożena Kostek, Beata Graff, Dariusz Szplit, Mariusz Budzisz, Krzysztof Narkiewicz

“…However, specialized domains like medical speech recognition still benefit from tailored datasets. …”
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Design, Molecular Docking, Synthesis, Characterization and Preliminary Evaluation of Novel 1,3,4-Oxadiazole Derivatives as Cyclin-Dependent Kinase 2 Inhibitors by Yousef Sabah Ali, Monther Faisal Mahdi, Basma Monjid Abd Razik, Talal Aburjai

“…Furthermore, these compounds underwent physicochemical, drug-like, and toxicological predictions. The molecular docking investigation shows that 1,3,4-oxadiazole derivatives bind strongly to the CDK-2 protein's active binding site. …”
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