Impact of Airflow Disturbance from Human Motion on Contaminant Control in Cleanroom Environments: A CFD-Based Analysis by Abiyeva Guldana, Sayat Niyetbay, Arman Zhanguzhinov, Gulbanu Kassabekova, Dilyara Jartayeva, Kulyash Alimova, Gulnaz Zhakapbayeva, Khalkhabay Bostandyk

“…The proposed system was evaluated for energy and cost efficiency compared to conventional setups. …”
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Live Effects of Anodal and Cathodal Transcranial Direct Current Stimulation on Brain Metabolism in a Patient with Typical Hemorrhagic Stroke: A Case Study by Giuseppe Reale, Augusto Fusco, Fabrizio Cocciolillo, Vincenza Amoruso, Davide Glorioso, Maria Caputo, Maria Lucia Calcagni, Luca Padua

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The Role of Neck Imaging Reporting and Data System (NI-RADS) in the Management of Head and Neck Cancers by Daniele Vertulli, Marco Parillo, Carlo Augusto Mallio

“…This review evaluates the current evidence on the use of the Neck Imaging Reporting and Data System (NI-RADS) for the surveillance and early detection of recurrent head and neck cancers. …”
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Development of Low-Cost CNC-Milled PMMA Microfluidic Chips as a Prototype for Organ-on-a-Chip and Neurospheroid Applications by Sushmita Mishra, Ginia Mondal, Murali Kumarasamy

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Valdidization of the Russian version of the questionnaire «Internet gaming disorder scale — short-form» by A. A. Petrov, N. B. Сhernyak

“…The aim of this study was to validate the Russian version of the questionnaire on the dependence on computer games «Internet gaming disorder scale–short-form». …”
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Promising systems for controlling prosthetics: a review by A. M. Samandari

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Strawberry Disease Detection Using Multispectral UAV Imagery by A. F. Cheshkova, V. S. Riksen

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Ephemeral Node Identifiers for Enhanced Flow Privacy by Gregor Tamati Haywood, Saleem Noel Bhatti

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A Comprehensive Review on Unsupervised Domain Adaptation for 3D Segmentation and Reconstruction in CT Urography Imaging by Shreya, Sushanth, Dasharathraj K. Shetty, Shreepathy Ranga Bhatta, Nikita Panwar

“…This comprehensive article looks at how computed tomography urography (CTU) is used and how it can be changed to evaluate the urinary system, especially the kidneys, bladder, and ureters. …”
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Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm rupture by Vanessa M. Swiatek, Samuel Voss, Florian Sprenger, Igor Fischer, Hafez Kader, Klaus-Peter Stein, Roland Schwab, Sylvia Saalfeld, Ali Rashidi, Daniel Behme, Philipp Berg, I. Erol Sandalcioglu, Belal Neyazi

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Optimizing Radiation Dose in High-Resolution Chest CT: The Impact of Patient-Specific Factors and Size-Specific Dose Estimates by Mohamed Abuzaid

“…<b>Background/Objectives:</b> High-resolution chest computed tomography (HRCT) is a critical diagnostic tool, but radiation dose optimization remains a significant concern. …”
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СOMPARISON OF LOW- AND HIGH-CONCENTRATION (270 AND 320 MG I/ML) ISO-OSMOLAR IODINATED CONTRAST MEDIA IN CORONARY CT ANGIOGRAPHY: A RANDOMIZED PROSPECTIVE SINGLE-CENTER BLINDED STUD... by V. E. Sinitsyn, M. A. Komarova, E. A. Mershina

“…Objective: to compare the image quality at coronary multidetector computed tomography (MDCT) using low-dose and lowiodine protocol study in comparison with the standard protocol.Material and methods. …”
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Which AI Sees Like Us? Investigating the Cognitive Plausibility of Language and Vision Models via Eye-Tracking in Human-Robot Interaction by Khashayar Ghamati, Maryam Banitalebi Dehkordi, Abolfazl Zaraki

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Deep Learning-Based Metal Artifact Reduction With Masked Mean Squared Error Loss Function in Simulation CT for Radiation Therapy for Head and Neck Cancer by Juhyeong Ki, Wonjin Lee, Bitbyeol Kim, Dukju Kim, Seongmoon Jung, Jimin Lee

“…Deep learning-based approaches to metal artifact reduction have recently been proposed, yet these methods still struggle to effectively remove metal artifacts in head and neck computed tomography (CT) images, which have a complex structure and can contain strong artifacts due to the insertion of dental fillings and implants. …”
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Analysis of the State and Characteristics of the Development Potential of Strategic Planning Tools in the Digital Transformation Conditions of the Economy and Management by O. M. Pisareva

“…Purpose: the purpose of the study is to determine the main directions and conceptual approaches to modernizing analytical and computer support for the planning of strategic development of socio-economic systems on a national scale in the framework of improving the methodology of strategic planning in a digital transformation of the economy and management.Methods: the issues of improving the tools of strategic planning of socio-economic development are studied in the framework of a system approach to analyzing the construction and functioning of the state management mechanism in the context of active formation of the information society infrastructure and to evaluating of the impact of digital technologies on the content of management tasks in the process of co-evolution of objects and subjects of management in large-scale organizational systems.Results: the article deals with current problems and key tasks of modernization of scientific and methodological, informational and analytical support of state strategic management of socio-economic development. …”
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Comparison of Dentoalveolar Changes with Miniscrew-Assisted Versus Conventional Rapid Palatal Expansion in Growing Patients: A Systematic Review and Meta-Analysis by Hwang bin Lee, Jong-Moon Chae, Jae Hyun Park, Na Jin Kim, Sung-Hoon Han

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Why not both? Complementing explanations with uncertainty, and self-confidence in human-AI collaboration by Ioannis Papantonis, Vaishak Belle, Vaishak Belle

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Transparent memory tests with even repeating addresses for storage devices by V. N. Yarmolik, I. M. Mrozek, V. A. Levantsevich, D. V. Demenkovets

“…The urgency of the problem of memory testing of modern computing systems is shown. Mathematical models describing the faulty states of storage devices and the methods used for their detection are investigated. …”
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Papillary thyroid carcinoma whole-slide images as a basis for deep learning by M. V. Fridman, A. A. Kosareva, E. V. Snezhko, P. V. Kamlach, V. A. Kovalev

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Research on Design and Energy-Saving Performance of Gate Rudder by Chunhui Wang, Qian Gao, Lin Li, Feng Gao, Zhiyuan Wang, Chao Wang

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