Aerodynamic Phenomena of Controlling Passive Flow of a Time‐Independent Ground Vehicle Under the Scope of Optimally Slanted Rear Wing‐Spoiler Combination by Abyaz Abid

“…A simplified Nissan Skyline GT34R CAD model is taken as the base ground vehicle for the computational study while the slant angles of both the rear wing and rear spoiler are changed within the range of 10° to 45°. …”
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Elimination of the Impact Produced by DG Units on the Voltage Profile of Distribution Networks by Saad Ouali, Abdeljabbar Cherkaoui

“…The criteria of the allocation of the var devices and the required network reinforcement are developed in this paper, considering all possible topology structures, and an innovative codification method is introduced to reduce the needed computation time and communication data to actualize the sensitivity coefficients and get the proposed control approach flexible with network topology reconfiguration. …”
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Ventilación natural: estudio aerodinámico mediante CFD de extractores pasivos y captadores de viento Natural ventilation: CFD aerodynamic study about passive extractor and windcatc... by José Sanchez, José Manuel Salmerón, Francisco José Sanchez, Servando Alvarez, José Luis Molina

“…The purpose of the article is to analyze the aerodynamics of windcatchers and wind-extractors by means of computational fluid mechanics, optimizing the geometries of these elements, and giving a simplified model as a result of the work, so as to include it in the aeraulic calculation of the buildings' air conditioning systems. …”
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Continuous professional development and instructors’ beliefs about and practice of active learning method in Bahir Dar university by Mulugeta Teka Kahsay

“…The study first employed one sample t-tests which showed that, though these instructors held significantly stronger beliefs about active learning methods than the expected level, they reportedly implemented active learning methods slightly less frequently than the expected level. Then, after computing means and standard deviations for each of the two groups of respondents (31 HDP participants and 27 non-participants), multivariate analysis of variance (MANOVA) was applied to compare the difference between HDP participants and non-participants in their beliefs and practice of active learning methods (when both dependent variables considered together). …”
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Possibilities of using of hardware accelerators for intrusion detection and prevention systems by Artem Tetskyi, Artem Perepelitsyn

“…The scientific novelty of the obtained results is in the fact that the analysis of the specifics of cyberthreats of datacenters and capabilities of FPGA accelerator cards with support of high-speed network interfaces allows to propose the set of recommendations for the creation of intrusion detection systems and intrusion prevention systems with the transfer of work to hardware implementation, which will make it possible to offload the computing resources of server and thereby increase its performance. …”
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Statistical monitoring of dust phenomenon in Khuzestan province with hourly approach by Parisa Ahadi, Shahriar Khaledi, Mahmoud Ahmadi

“…The method in this study is based on statistical computation of dust parameters and also the trend analysis of data based on Mann-Kendall test and spatial distribution maps of dust phenomena. …”
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Multiobjective Optimization Design and Performance Prediction of Centrifugal Pump Based on Orthogonal Test by Yuqin Wang, Xinwang Huo

“…Based on the L1644 orthogonal table, 16 sets of orthogonal test schemes were made by selecting the four parameters impeller outlet width, blade inlet angle, blade outlet angle, and cape angle; the flow field numerical simulation was carried out by computational fluid dynamics technique; and the influence order of geometric parameters on optimization indexes was obtained by range analysis. …”
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An artificial transcription factor that activates potent interferon-γ expression in human Jurkat T Cells by Ashley King, Davis Noblitt, Olivia Sherron, Olivia Sherron, Clara Kjerfve, Lydia Pless, Nicholas L. Truex

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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…With the rapid development of technologies such as big data, intelligent data analysis and cloud computing, the application of Internet financial technology has become more and more extensive, and with the advent of the era of large asset management in the domestic wealth management industry, in order to improve the efficiency of financial services, traditional finance is needed. …”
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Impact of image size reducing for image quality assesment by Yu. I. Golub, F. V. Starovoitov, V. V. Starovoitov

“…At the same time, the computation time of estimates is reduced on average by 4 times while reducing images by 2 times. …”
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Optimizing design and stability of open pit slopes in Tolay coal mine, Ethiopia by Eyerusalem Alemayehu, Endalu Tadele Chala, Nagessa Zerihun Jilo, Tiyasha Tiyasha, Belachew Moges

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Speciation of heavy metals in coastal water of Qeshm Island in the Persian Gulf by A.R. Karbassi, S. Tajziehchi, H. Khoshgalb

“…Oil type, climatic condition and characteristics of oil tanks are among the main variables in computing evaporative losses. The present study brings out the results of a project that was carried out to investigate the adverse effects of oil terminal on coastal waters of Qeshm Island and aims to elaborate on speciation of metals in coastal waters. …”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…Three AI systems were tested on different datasets to forecast plant stress by analyzing leaves due to technical constraints. CNN’s accuracy and computing speed make it ideal for precision farming. …”
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Impact of Extracellular Matrix-Related Genes on the Tumor Microenvironment and Prognostic Indicators in Esophageal Cancer: A Comprehensive Analytical Study by Yinghong Wu, Wenjie Hu, Zhihong Jia, Qiying Zhu, Jinghui Xu, Liang Peng, Renjie Wang

“…Our study utilized next-generation sequencing and clinical data from esophageal cancer patients provided by The Cancer Genome Atlas, employing the R package in RStudio for computational analysis. This analysis identified significant associations between patient survival and various ECM-related genes, including IBSP, LINGO4, COL26A1, MMP12, KLK4, RTBDN, TENM1, GDF15, and RUNX1. …”
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Modelling and Experimental Investigation of an Active Damper by Rafael Luís Teixeira, Francisco Paulo Lépore Neto, José Francisco Ribeiro

“…However, for the proper control design and system operation, the direct use of the finite element model becomes unviable due to its high computational time. Then, a reduced second order discrete dynamic model for the damper was developed. …”
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Migration Law and Influence of Proppant in Segmented Multicluster Fracturing Wellbore of Deep Shale Horizontal Well by Tingxue Jiang, Haitao Wang, Juanming Wei, Guanyu Zhong, Yucheng Zhao, Yushi Zou

“…In order to deeply analyze the influence mechanism and law of proppant flow in the wellbore on multiple fractures and propagation, Firstly, based on the theoretical knowledge of computational fluid dynamics (CFD), a numerical model of solid-liquid two-phase flow of proppant migration in horizontal wellbore is established, which is calculated and solved by using the Euler-Euler multiphase-flow mixture model, and the effects of different influencing factors on the migration and distribution of proppant in wellbore are studied. …”
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Assessment of Polypharmacy, Drug Use Patterns, and Associated Factors at the Edna Adan University Hospital, Hargeisa, Somaliland by Temesgen Sidamo, Alemu Deboch, Mohamed Abdi, Fikru Debebe, Khalid Dayib, Tamrat Balcha Balla

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TDOA-based WSN localization with hybrid covariance matrix adaptive evolutionary strategy and gradient descent distance techniques by V.G. Saranya, S. Karthik

“…The TDOA-CMAES with GDD strategy demonstrated a maximum enhancement of 24.8 % in localization accuracy, a 36 % decrease in mean localization error (MLE), and an 18 % reduction in computation time relative to traditional approaches such as JAYA and Particle Swarm Optimization (PSO) and other current techniques. …”
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Effective Marine Monitoring with Multimodal Sensing and Improved Underwater Robotic Perception towards Environmental Protection and Smart Energy Transition by Hamidreza FARHADI TOLIE, REN Jinchang, Md Junayed HASAN, MA Ping, Somasundar KANNAN, LI Yinhe

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Does disability modify the association between poor mental health and violence victimisation over adolescence? Evidence from the CoVAC cohort study in Uganda. by Daniel J Carter, Charlie F M Pitcairn, Emily Eldred, Louise Knight, Janet Nakuti, Angel Mirembe, Lydia Atuhaire, Elizabeth Allen, Amiya Bhatia, Dipak Naker, Jenny Parkes, Karen Devries

“…Data from two waves of a longitudinal cohort study of 2773 Ugandan adolescents were used to assess the impact of mental health difficulties in early adolescence (aged 11-14) on presence of subsequent mental health difficulties, depression and past year violence victimisation in later adolescence (aged 15-18). We used g-computation to examine how these outcomes changed dependent on levels of poor mental health in early adolescence and explored functional difficulties as an effect modifier. …”
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