Dose Optimization with mAs Reduction of 15% using Computed Radiography on Radiographic Examinations Pelvic Ap Projection by Intan Cahya, Muhammad Irsal, Nursama Heru A., Shinta Gunawati S., Mahfud Edy Widiatmoko

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Integrated Electrochemical and Computational Elucidation of Nitro Blue Tetrazolium Chloride as an Efficient Leveler for Copper Microvia Superfilling by Dong Xing, Xiangfu Wei, Jinge Ye, Mingsong Lin, Shengchang Tang, Hui You

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Computer Vision Syndrome among Undergraduate Medical Students in King Abdulaziz University, Jeddah, Saudi Arabia by Ghufran A. Abudawood, Heba M. Ashi, Nawaf K. Almarzouki

“…It is one of the rising health concerns related to technology (cell phones and tablets) due to continuous use of computers among students. The aim of this study was to determine the prevalence of CVS, associated risk factors, and commonly associated symptoms and to assess the awareness and proper practice of using computers for studying. …”
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Measuring varve thickness using micro-computed tomography (µCT): a comparison with thin section by M.-E. M. P. Jamba, M.-E. M. P. Jamba, P. Francus, P. Francus, A. Gagnon-Poiré, A. Gagnon-Poiré, A. Gagnon-Poiré, G. St-Onge, G. St-Onge

“…<p>X-ray micro-computed tomography (<span class="inline-formula">µ</span>CT) scans were performed on four varved sediment cores collected in Grand Lake (Labrador) and previously studied with thin sections. …”
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Comparison of treatments for equine laryngeal hemiplegia using computational fluid dynamic analysis in an equine head model by Michelle L. Tucker, David G. Wilson, Donald J. Bergstrom, James L. Carmalt

“…IntroductionComputational fluid dynamics (CFD) is gaining momentum as a useful mechanism for analyzing obstructive disorders and surgeries in humans and warrants further development for application in equine surgery. …”
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Diagnosis of Coronary Heart Disease Through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography by Bo Zhao, Jianjun Peng, Ce Chen, Yongyan Fan, Kai Zhang, Yang Zhang

“…Vision transformers, with their self-attention mechanisms, offer a global perspective, yet demand extensive data and computational resources, making them less adaptable for the often limited medical imaging datasets. …”
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Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning by Yuhua Wu, Yuchao Huang, Ziyou Wang, Changming Xu

“…Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC), which deploys computing and storage resources at the network edge, offers a promising solution. …”
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Regional variation in COVID-19 vaccine uptake and intention in Nigeria: A computer assisted telephone survey. by Eniola Adetola Bamgboye, Rawlance Ndejjo, Nuole Chen, Rotimi Felix Afolabi, Steven N Kabwama, Mobolaji M Salawu, Segun Bello, Ayo Stephen Adebowale, Magbagbeola David Dairo, Lily L Tsai, Rhoda K Wanyenze, Olufunmilayo Ibitola Fawole

“…Descriptive statistics were provided as means for continuous variables, while categorical variables were expressed as frequencies and percentages. …”
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A Model for Diagnosing the Cognitive Activity of Students of Secondary Vocational Education System in Teaching Computer Science by K. Timofeeva

“…The developed model of cognitive activity diagnostics allows us to obtain pedagogically significant information that characterizes the dynamics of changes in the level of cognitive activity when performing special psychological and pedagogical tests, as well as educational tasks, and to compile a reliable picture of the effectiveness of the educational   process in the studied groups of students of secondary vocational education, taking into account cognitive, pedagogical, social criteria, and also the level of basic computer science training. The model for diagnosing the level of learning in computer science and cognitive activity includes the assessment of the acquired knowledge, the development of professional skills and encouraging students to continuously improve and apply professional skills on a regular basis. …”
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Angiogenesis Dynamics: A Computational Model of Intravascular Flow Within a Structural Adaptive Vascular Network by Sahar Jafari Nivlouei, Ana Guerra, Jorge Belinha, Naside Mangir, Sheila MacNeil, Christiane Salgado, Fernando Jorge Monteiro, Renato Natal Jorge

“…Methods: To address this limitation, the current study develops a novel two-dimensional mathematical model of angiogenesis, integrating discrete and continuous modelling approaches to capture intricate cellular interactions and provide detailed information about the capillary network’s structure. …”
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Ethical governance of clinical research on the brain–computer interface for mental disorders: a modified Delphi study by Qing Zhang, Zhen Wang, Jing Chen, Chen Zhang, Tianhong Zhang, Yifeng Xu, Haiqing Ji, Xingchao Wang, Pinan Liu

“…It requires scientifically grounded approaches, continuous monitoring and interdisciplinary collaboration to ensure evidence-based policies, comprehensive risk assessments and transparency, thereby promoting responsible innovations and protecting patient rights and well-being.…”
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A clinical trial evaluating feasibility and acceptability of a brain-computer interface for telerehabilitation in patients with stroke by Salem Mansour, Joshua Giles, Krishnan P. S. Nair, Rebecca Marshall, Ali Ali, Mahnaz Arvaneh

“…This innovative system merges brain-computer interface (BCI) and functional electrical stimulation (FES) technologies to rehabilitate upper limb function following a stroke. …”
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Characterisation of Adrenal Masses with Contrast Enhanced Computed TomographyAdrenal Protocol: A Cross-sectional Study by Hrishikesh Choudhury, Rishabh, Sushant Agarwal, BK Duara, Mousumi Gogoi, Baloy Jyoti Talukdar, Bhaskar Das, Subhosree Dey

“…Aim: To assess the accuracy of the Contrast Enhanced Computed Tomography (CECT) washout study in characterising adrenal masses as benign or malignant. …”
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Stabilization of Doxorubicin Drug on Graphene Oxide Nanosystem and Computer simulation Study (In-Silico) on Topoisomerase II Enzyme by Sedigheh Pargaleh boroujeni, Nooreddin Goodarzian, Neda Hasanzadeh, Mohammad Kazem Mohammadi

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Vectorized Highly Parallel Density-Based Clustering for Applications With Noise by Joseph Arnold Xavier, Juan Pedro Gutierrez Hermosillo Muriedas, Stepan Nassyr, Rocco Sedona, Markus Gotz, Achim Streit, Morris Riedel, Gabriele Cavallaro

“…As the volume of data continues to grow and advancements in high-performance computing evolve, a critical need has emerged for algorithms that can efficiently process these computations and exploit the various levels of parallelism offered by modern supercomputing systems. …”
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Structural Stability of Pseudo-Parabolic Equations for Basic Data by Yanping Wang, Yuanfei Li

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Determining the Lyapunov Spectrum of Continuous-Time 1D and 2D Multiscroll Chaotic Oscillators via the Solution of m-PWL Variational Equations by Jesus Manuel Munoz-Pacheco, Luz del Carmen Gómez-Pavón, Olga Guadalupe Félix-Beltrán, Arnulfo Luis-Ramos

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A continuous responder algorithm to optimize clinical management of small-cell lung cancer with progastrin-releasing peptide as a simple blood test by Thomas Muley, Xiaotong Zhang, Stefan Holdenrieder, Catharina M Korse, Xiu-yi Zhi, Rafael Molina, Zhongjuan Liu, Gunther Hartmann, Michel M van den Heuvel, Kun Qian, Ramon Marrades, Christine Engel, Ying He, Birgit Wehnl, Farshid Dayyani, Felix Herth

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High-power, high-wall-plug-efficiency quantum cascade lasers with high-brightness in continuous wave operation at 3–300μm by Manijeh Razeghi, Yanbo Bai, Feihu Wang

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Determination of mode shapes of a multiple cracked beam element and its application for free vibration analysis of a multi-span continuous beam by Tran Van Lien, Trinh Anh Hao

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