Numerical Investigation on the Cavitating Flow and the Cavitation-induced Noise in the Pump-jet Propeller by P. Zhang, J. Yuan, Y. Fu, X. Hou, J. Hao

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Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study by Gabriel Alain, James Crick, Ella Snead, Catherine C Quatman-Yates, Carmen E Quatman

“…Understanding these organic usage patterns is key for assessing GenAI’s impact on health care delivery and patient-provider dynamics. …”
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Amplitude of Intracranial Induced Electric Fields Does Not Linearly Decrease with Age: A Computational Study of Anatomical Effects in Adults by Jianxu Zhang, Zilong Yan, Anshun Kang, Jian Ouyang, Lihua Ma, Xinyue Wang, Jinglong Wu, Dingjie Suo, Shintaro Funahashi, Wei Meng, Li Wang, Jian Zhang

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New approaches to quantifying early disorders and perfusion inhomogeneity of the myocardium according to the data of single-photon emission computed tomography by A. A. Ansheles, L. A. Martirosyan, I. V. Sergienko, V. B. Sergienko

“…None of patients had current cardiac symptoms, positive stress-test results and/or single-photon emission computed tomography (SPECT) signs of stress-induced ischemia, so only rest images were analyzed. …”
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Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks by Diego Frazatto Pedroso, Luis Almeida, Lucas Eduardo Gulka Pulcinelli, William Akihiro Alves Aisawa, Ines Dutra, Sarita Mazzini Bruschi

“…Cloud computing technologies offer significant advantages in scalability and performance, enabling rapid deployment of applications. …”
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Attention Lempel-Ziv complexity: an improved Lempel-Ziv complexity with high computational efficiency for bearing early fault detection by Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng

“…Lempel-Ziv complexity assesses time series anomalies by quantifying the amount of novel patterns within the time series. It has been effectively utilized in assessing bearing fault severity and classification. …”
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Computational Thinking and Academic Performance Across Different Instructional Modalities in Pre‐University Courses: A Data‐Driven Study by Jorge Parraga‐Alava, Jorge Rodas‐Silva

“…ABSTRACT In preuniversity education, educators and decision‐makers need to understand how teaching methods affect student learning in computational thinking (CT). This helps identify factors influencing student outcomes and inform the development of personalized learning programs. …”
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Computational inference of co-regulatory modules from transcription factors, MicroRNAs, and their targets using CanMod2 by Ziynet Nesibe Kesimoglu, Jubair Ibn Malik Rifat, Serdar Bozdag

“…Here, we propose a computational pipeline, CanMod2, which infers modules of TFs, miRNAs, and their co-regulatory targets that are involved in a common biological process. …”
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Association between Maxillary Sinus Diseases and Periapical Endodontic Infections: A Retrospective Cone-beam Computed Tomography Study by Mahmod Alkayyal, Hadeel Edrees, Mohammed Barayan, Hanadi Sabban

“…Materials and Methods: A retrospective review of 400 cone-beam computed tomography (CBCT) scans of patients referred to the Radiology Department at College of Dentistry, King Abdulaziz University was carried out. …”
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Improved aerosol deposition predictions in human upper respiratory tract using coupled mesh phantom-based computational model by Riya Dey, Hemant K. Patni, S. Anand

“…This study integrates Mesh-type Reference Computational Phantoms (MRCPs) with computational fluid-particle dynamics (CFPD) to address these limitations. …”
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Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations by Borut Kirn

“…Each pair generated a simulated strain pattern, and by scanning the grid, we identified cohorts of similar strain patterns for each simulation. …”
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Material philology and Syriac excerpting practices: A computational-quantitative study of the digitized catalog of the Syriac manuscripts in the British Library. by Noam Maeir

“…This study explores the literary practice of excerpting in Syriac manuscripts through a computational-quantitative analysis, contributing to the emerging field of Syriac material philology. …”
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Radiomics Analysis on Computed Tomography Images for Prediction of Chemoradiation-induced Heart Failure in Breast Cancer by Machine Learning Models by Farzaneh Ansari, Ali Neshasteh-Riz, Reza Paydar, Fathollah Mohagheghi, Sahar Felegari, Manijeh Beigi, Susan Cheraghi

“…We compared echocardiographic patterns and ejection fraction (EF) measurements before and 3 years after radiotherapy for each patient. …”
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Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis by Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang

“…Therefore, this study proposes a computer-assisted method for the refined assessment of imitation ability in children with ASD. …”
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Computational Fluid Dynamics and Experimental Studies of a New Mixing Element in a Static Mixer as a Heat Exchanger by Konopacki Maciej, Kordas Marian, Fijałkowski Karol, Rakoczy Rafał

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Visual Discomfort in the Built Environment: Leveraging Generative AI and Computational Analysis to Evaluate Predicted Visual Stress in Architectural Façades by Cleo Valentine, Arnold J. Wilkins, Heather Mitcheltree, Olivier Penacchio, Bruce Beckles, Ian Hosking

“…Previous studies show that specific visual patterns can elicit cortical hyperexcitation and visual discomfort, particularly in individuals with a predisposition to cortical hyperexcitability. …”
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Molecular Insights into the Interaction of Orexin 1 Receptor Antagonists: A Comprehensive Study Using Classical and Quantum Computational Methods by Caio Sena, Pedro Albuquerque, Jonas Oliveira, Davi Vieira

“…By elucidating drug–receptor interactions at the atomic level, this research underscores the impact of integrated computational approaches in drug discovery. It supports the development of precise targeted therapies for sleep disorders.…”
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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…Abstract Mobile Edge Computing (MEC) systems face critical challenges in optimizing computation offloading decisions while maintaining quality of experience (QoE) and energy efficiency, particularly in dynamic multi-user environments. …”
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Learning computer-aided manufacturing from demonstration: a case study with probabilistic movement primitives in robot wood carving by Daniel Schäle, Martin F. Stoelen, Erik Kyrkjebø

“…Computer-Aided Manufacturing (CAM) tools are a key component in many digital fabrication workflows, translating digital designs into machine instructions to manufacture physical objects. …”
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Assessment of biomechanical properties in pulmonary arterial hypertension: a computational fluid dynamics study of the extensive pulmonary arterial tree by Jian Shi, Jianwen Liang, Jieting Wang, Hui Wang, Zhenyu Wang, Xiaocong Zhang, Guifu Wu, Shuai Tian, Wenbin Wei

“…This study employs computational fluid dynamics (CFD) to evaluate the biomechanical properties of the extensive pulmonary artery tree (segmented up to 6 th-generation branches) in PAH. …”
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