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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Integrative computational approaches identify haptoglobin inhibitors to modulate erythrocyte sedimentation rate in trauma-linked inflammatory and haematological malignancies by Abdulaziz H. Al Khzem, Shaban Ahmad

“…The study also included Density Functional Theory computations and pharmacokinetic profiling to assess these compounds’ suitability further, revealing promising results. …”
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Long-Term Effects of COVID-19: Analysis of Imaging Findings in Patients Evaluated by Computed Tomography from 2020 to 2024 by Zeynep Keskin, Mihrican Yeşildağ, Ömer Özberk, Kemal Ödev, Fatih Ateş, Bengü Özkan Bakdık, Şehriban Çağlak Kardaş

“…<b>Background:</b> This study aims to systematically evaluate the findings from computed tomography (CT) examinations conducted at least three months post-diagnosis of COVID-19 in patients diagnosed between 2020 and 2024. …”
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Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8 by Claudia Giannone, Mohsen Sahraeibelverdy, Martina Lamanna, Damiano Cavallini, Andrea Formigoni, Patrizia Tassinari, Daniele Torreggiani, Marco Bovo

“…Sick cows often exhibit altered feeding patterns, such as reduced feeding time and frequency, making early detection crucial for effective farm management. …”
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Usefulness of 18F-fluorodeoxyglucose-positron emission tomography/computed tomography in primary cystadenocarcinoma of the mesentery: a case report by Yuto Hozaka, Yuko Mataki, Hiroshi Kurahara, Kiyonori Tanoue, Tetsuya Idichi, Yota Kawasaki, Satoshi Iino, Pramod Nepal, Takaaki Arigami, Kosei Maemura, Hirotsugu Noguchi, Hiroyuki Shinchi, Akihide Tanimoto, Shoji Natsugoe, Takao Ohtsuka

“…Pathological examination of the specimens revealed various histologic patterns of adenocarcinoma, including mucin production in the mural nodules. …”
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Computer-aided diagnosis of Haematologic disorders detection based on spatial feature learning networks using blood cell images by Jamal Alsamri, Hamed Alqahtani, Ali M. Al-Sharafi, Abdulbasit A. Darem, Khalid Nazim, Abdul Sattar, Menwa Alshammeri, Ahmad A. Alzahrani, Marwa Obayya

“…Machine learning (ML) and deep learning (DL) have aided the classification and collection of patterns in data, foremost in the growth of AI methods employed in numerous haematology fields. …”
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Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

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Energy Efficiency in Measurement and Image Reconstruction Processes in Electrical Impedance Tomography by Barbara Stefaniak, Tomasz Rymarczyk, Dariusz Wójcik, Marta Cholewa-Wiktor, Tomasz Cieplak, Zbigniew Orzeł, Janusz Gudowski, Ewa Golec, Michał Oleszek, Marcin Kowalski

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Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University by Dani Wilian, Sriyanto Sriyanto

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