Research on Comprehensive Improvement Measures for Rural Water System in Henghe Town by LIAO Wei, MING Youyan

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Research on Detection of Sterol Doping in Sports by Electrochemical Sensors: A Review by Yunyan Sun

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Introduction to Social Network Research: Application of Social Network Analysis in Extension by Anil Kumar Chaudhary, Laura A. Warner

“…AEC534/WC196: Introduction to Social Network Research: Application of Social Network Analysis in Extension (ufl.edu) …”
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The Role of the Learner in Task-Based Language Teaching: Theory and Research Methods by Mohamed Salah

“…The volume stems from two colloquia––The Biennial Conference on Task-Based Language Teaching in 2015 at the University of Leuven, Belgium, and The Second Language Research Forum in 2016 at Columbia University, United States––focused on contemporary viewpoints and practices regarding the role of the learner in L2 task performance. …”
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Investigating the research landscape of chlorinated paraffins over the past ten decades by Chinemerem Ruth Ohoro, Chijioke Olisah, Victor Wepener

“…Due to their associated environmental and health impacts, these groups of chemicals have been a subject of interest among researchers in the past decades. Here we used a scientometric approach to understand the research landscape of CPs using literature published in the Web of Science and Scopus database. …”
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Analysing Corporate Governance Research in the Pharmaceutical Industry: A Bibliometric Study by Sangeetha Narayanan, Subhendu Kumar Pradhan

“…The study offers a crucial understanding of the current state of research and suggests avenues for future research to fill this research gap. …”
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Research on improved scheme of resource public key infrastructure data synchronization by Feng LENG, Qi ZHAO, Zhiwei YAN, Yu ZENG

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MY FIRST PREPRINT ONLINE: DEVELOPING AN ONLINE MODULE IN RESEARCH WRITING by Evgeniy V. Bakin, Natalia V. Smirnova

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Nonlinear Numerical Simulation for Oscillating Pressure in Cavity and Passive Control Research by Binqi Chen, Yiding Wang

“…Prediction of oscillating pressure is a key technology for cavity research. Nonlinear Acoustic Solver (NLAS) is applied to analyze aeroacoustics recently. …”
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An In-depth Analysis of Rendered Models using Blender : A Research Result by Oluwafunmilayo Raheem, Bourdillon Omijeh, Chinagorom Ibeachu

“… The research investigated the efficiency of a novel virtual reality (VR) method for anatomy education utilizing a web application designed for virtual dissection. …”
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Research on Information Propagation Model in Social Network Based on BlockChain by Yan Zhao, Sheng Bin, Gengxin Sun

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Research and implementation of reconfigurable SM4 cryptographic algorithm based on HRCA by Xiao ZHANG, Qinglei ZHOU, Bin LI

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Designing for impact: a case study of UTHSC’s research impact challenge by Jess Newman McDonald, Annabelle L. Holt

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Development and Research of Ion Optics Digital Simulation System for EI Source by Li-na YANG, Xing-chuang XIONG, Zi-long LIU, Xiang FANG

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Formulation of Scientific Concepts as a Component of the Research Competence of Future Teachers by T. F. Orekhova, T. G. Neretina, E. N. Kondrashova

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Research on DNA Nanostructures Based on the Hybrid Chain Reaction for the Assignment Problem by Risheng Wang, Zhixiang Yin, Jing Yang, Xinmu Yang, Zhen Tang

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Research Topics in Gastrointestinal Disease: A Report on the 11th Symposium by Nicola Jones, Ken Croitoru, André Buret, Paul Bélangér, Kevin Glasgow, Louise Hope

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Exploration of intelligent education method:mobile game assisted research teaching by Hao SHENG, Li RUAN, Ke XU, Jun HAN, Zhang XIONG, Xiaopeng GAO, Weifeng LYU

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Runoff Forecasting Research Coupling Quadratic Factor Screening and Deep Learning by CHENG Liwen, HUANG Shengzhi, LI Pei, LI Ziyan, JIA Songtao, HUANG Qiang

“…The effective screening of factors influencing runoff is a key aspect of runoff forecasting research.However,there are many factors affecting runoff,and these factors have complex interactions.Most of the existing studies use numerically driven models with primary factor screening,and the results show that the input factors are spatially redundant,leading to poor forecasting results.In view of this,the support vector regression (SVR) and the long-short memory network model (LSTM) are compared with Weihe River Basin as an example,and the LSTM model is selected as the optimal forecasting model.Principal component analysis and gray correlation analysis are used for secondary screening of the input terms to form a model coupling principal component analysis,gray correlation analysis,and LSTM.The results show that:①the fitting accuracy of LSTM is higher than that of SVR;②the secondary screening of the input terms improves the forecast accuracy,and the forecast accuracy of the coupled model is better than that of the single model,specifically,the model accuracy evaluation indexes of the coupled model are substantially improved compared with those of the single model;③the Nash efficiency coefficient and deterministic coefficient of the coupled model of gray system correlation analysis are improved by 0.13% and 0.03%,respectively,compared with those of the coupled model of principal component analysis,and the standard deviation ratio of observed values is improved by 42.9%.The study shows that the secondary factor screening by using gray correlation can effectively improve forecast accuracy.…”
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Retracted: Research on Dual Mode Target Detection Algorithm for Embedded Platform by null Complexity

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