Computational thermal analysis of FeCrV15+TiB2 coatings on EN48 baseplate by using the COMSOL Multiphysics by Basiru Philip Aramide, Tamba Jamiru, Taoreed Adesola Adegbola, Abimbola Patricia Idowun Popoola, Mathew Olurotimi Adeoti, Rotimi Sadiku, Sisa Pityana

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Planificación y optimización asistida por computadora de secuencias de ensamble mecánico // Computer aided Planning and optimization for mechanical assembly. by L. L. Tomás-García

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Experimental and computational surface roughness analysis of aluminium silicon 12 (AlSi12) produced by powder bed fusion for transport applications by Bibili Nzengue Alliance Gracia, Mpofu Khumbulani, Mathe Ntombizodwa Ruth, Muvunzi Rumbidzai

“…Given that surface irregularities are difficult to control, post-processing is critical to improving the surface roughness. …”
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Investigation of CPD and HMDS Sample Preparation Techniques for Cervical Cells in Developing Computer-Aided Screening System Based on FE-SEM/EDX by Yessi Jusman, Siew Cheok Ng, Noor Azuan Abu Osman

“…The HMDS technique has shorter processing time than the CPD technique. The results indicate that FE-SEM imaging, elemental composition, and processing time for sample preparation with the HMDS technique were better than CPD technique for cervical cell preparation technique for developing computer-aided screening system.…”
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Efficacy of a Computer-Assisted Cognitive Rehabilitation Intervention in Relapsing-Remitting Multiple Sclerosis Patients: A Multicenter Randomized Controlled Trial by Lambros Messinis, Grigorios Nasios, Mary H. Kosmidis, Petros Zampakis, Sonia Malefaki, Katerina Ntoskou, Anastasia Nousia, Christos Bakirtzis, Nikolaos Grigoriadis, Philippos Gourzis, Panagiotis Papathanasopoulos

“…In the present multicenter randomized controlled trial, fifty-eight clinically stable RRMS patients with mild to moderate cognitive impairment and relatively low disability status were randomized to receive either computer-assisted (RehaCom) functional cognitive training with an emphasis on episodic memory, information processing speed/attention, and executive functions for 10 weeks (IG; n=32) or standard clinical care (CG; n=26). …”
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Phase field modeling for fracture prediction in goat tibia using an open-source quantitative computer tomography based finite element framework by Debangshu Paul, Zachariah Arwood, Pierre-Yves Mulon, Dayakar Penumadu, Timothy Truster

“…The framework involves constructing a mesh of the bone geometry from a 3D quantitative computed tomography (QCT) scan of the goat tibia. To make the process accessible and extensible, open-source software was utilized throughout the entire modeling process for the first time. …”
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Dataset of subjective human responses and objective metrics related to motion sickness collected and computed on a winter research voyageSUNScholarData by Nicole Catherine Taylor, Anriëtte Bekker, Karel Kruger

“…Ship responses were captured through a full-scale measurement system and processed in real time on board, computing motion sickness dose values for each 5-minute consecutive time series of acceleration measurements. …”
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Increasing the Level of Cognitive Activity of Students of the Secondary Vocational Education System in Computer Science Classes Based on a Collective Learning Method by K. E. Timofeeva

“…Dyachenko) to the tasks of the secondary vocational education system, the conditions for the formation of student groups and scenarios of their interaction in the process of teaching computer science were outlined. …”
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Reconstruction of Fan Beam X-Ray Fluorescence Computed Tomography Based on Parallel Hole Collimator via Total Variation and Ordered Subsets by Shanghai Jiang, Le Chen, Jie Zhong, Li Ai, Hua Yang, Hong Lu

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An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer by Lihuan Dai, Jinxue Yin, Xin Xin, Chun Yao, Yongfang Tang, Xiaohong Xia, Yuanlin Chen, Shuying Lai, Guoliang Lu, Jie Huang, Purong Zhang, Jiansheng Li, Xiangguang Chen, Xi Zhong

“…Here, we developed and validated an interpretable machine learning (ML) model based on contrast-enhanced computed tomography (CECT) radiomics for preoperatively predicting PD-L1 expression status in patients with gastric cancer (GC). …”
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Development of policy research-evidence organizer and public health-policy evaluation tool (prophet): a computing paradigm for promoting evidence-informed policymaking in Nigeria by Kingsley Otubo Igboji, Chigozie Jesse Uneke, Fergus U. Onu, Onyedikachi Chukwu

“…This study modeled a computing paradigm for brokering knowledge translation process and assisting health policymakers in promoting evidenced-informed policymaking. …”
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Validation of a hybrid solar-electrical dryer through computational fluid dynamics simulation and practical approach applied to the Kent mango variety by Maximiliano Martín del Campo, Hector Huerta Avila, Elda Mireya Rodríguez González, Luz Orieta Rodríguez González

“…This study evaluates a hybrid solar-electric dryer by comparing its performance in purely electric and combined solar-electric configurations using both Computational Fluid Dynamics simulations and experimental testing. …”
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Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. …”
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DEVELOPMENT OF A SOFTWARE PACKAGE FOR CONDUCTING COMPUTATIONAL EXPERIMENTS ON NUMERICAL MODELING OF THE "FLOW TUBE – LIQUID" SYSTEM OF A CORIOLIS FLOW METER by E.A. Gudkova

“…For the mathematical model, the finite element method and an iterative approach to solving systems of equations based on rigidly coupled coupling were used. A computational algorithm based on linear interpolation and an algorithm that automates the processing of data arrays and the calculation of average time and phase delays have been implemented. …”

Non-contrast photon counting computed tomography of the head: optimized modeling of off-focal radiation to reduce calvarium-related tissue inhomogeneity by Arwed Elias Michael, Martin Petersilka, Denise Schoenbeck, Matthias Michael Woeltjen, Julius Henning Niehoff, Christoph Moenninghoff, Tanja Kurzendorfer, Jan Borggrefe, Lukas Goertz, Jan Robert Kroeger

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Application of Adaptive Search Window-Based Nonlocal Total Variation Filter in Low-Dose Computed Tomography Images: A Phantom Study by Hajin Kim, Bo Kyung Cha, Kyuseok Kim, Youngjin Lee

“…Computed tomography (CT) imaging using low-dose radiation effectively reduces radiation exposure; however, it introduces noise amplification in the resulting image. …”
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M01 tool: an automated, comprehensive computational tool for generating small molecule-peptide hybrids and docking them into curated protein structures by Mahsa Sheikholeslami, Mohammad Hasan Nazari, Afshin Fassihi

“…Conclusions The M01 tool represents a significant advancement in computational drug design, streamlining the process of creating hybrid molecules and conducting docking studies. …”
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Stability analysis of surrounding rocks of deeply-buried underground chambers based on the improved block theory and simulation using unwedge computer program by Fugui Tao, Anyi Lan, Lei Han, Xudan Sun, Zhixi Liu

“…By comparing the refined block theory and computer program calculation results with the actual construction and excavation process of the underground cavern, we found that they are largely consistent. …”
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Evaluation of growth and development period according to spheno-occipital synchondrosis fusion stages in cone-beam computed tomography with ImageJ program by Cengiz Evli, Sultan Uzun, Güldane Mağat

“…The aim of this study is to evaluate the growth and development period of SOS on cone-beam computed tomography (CBCT) images with pseudo-color imaging depend on fusion stages. …”
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Identification and validation of hub m7G-related genes and infiltrating immune cells in osteoarthritis based on integrated computational and bioinformatics analysis by Zhenhui Huo, Chongyi Fan, Kehan Li, Chenyue Xu, Yingzhen Niu, Fei Wang

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