VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target by Xin Shi, Wenjie Xing, Huitao Liu, Yanxue Wang, Mengdao Xing

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Creation of a cell culture bank: experience of the Pokrovsky Cell Technology Center by E. M. Prikhodko, O. V. Supilnikova, I. V. Maslennikova, N. I. Yenukashvili, A. V. Kotova, V. V. Bagaeva, T. L. Zolina, A. I. Konkina, G. S. atsemirsky

“…The developed approaches and work algorithms made it possible to create a collection of early passage cultures consisting of certified samples that meet the requirements for cell cultures for the manufacture of high-tech drugs and biomedical cell products, as well as for research.…”
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Online learning: Attitudes of Russian students by D. V. Rudenkin

“…At the same time, it remains difficult to say, whether this process meets the real needs of students or not.The aim of the article is to identify and describe the main sentiments that arise in the environment of Russian students in connection with the growing role of the Internet in the learning process.Methodology and research methods. …”
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Species delimitation and microalgal cryptic diversity analysis of the genus Micractinium (Chlorophyta) by E. S. Krivina, A. D. Temraleeva, Yu. S. Bukin

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La Teoría del andamiaje como herramienta de construcción del pensamiento matemático by Cesar Orlando Vargas Mantilla, Sonia Maritza Mendoza Lizcano, Wlamyr Palacios Alvarado

“…Considering as the main objective of the research to promote the formulation of a pedagogical strategy based on scaffolding as a tool for the construction of mathematical knowledge in higher education in differential calculus students at the Francisco de Paula Santander University in Cúcuta; For this achievement, the theoretical proximities that are implemented in university training spaces must be recognized and established, likewise, the dimensions addressed by the informant teachers must be identified and based on these inputs, a pedagogical strategy must be proposed within the framework of scaffolding theory. …”
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A case study on thermal conductivity characteristics and prediction of rock and soil mass at a proposed ground source heat pump (GSHP) site by Yongjie Ma, Jingyong Wang, Fuhang Hu, Echuan Yan, Yu Zhang, Hao Deng, Xuefeng Gao, Jianguo Kang, Haoxin Shi, Xin Zhang, Jianqiao Zheng, Jixiang Guo

“…Therefore, this study conducted field in-situ thermal response test (TRT) and laboratory sample test based on distributed optical fiber temperature sensor (DOFTS) in LY research area of Changchun, Northeast China. After comparing the differences and analyzing the reasons, an in-situ thermal conductivity prediction model was established based on artificial neural network (ANN) algorithm to predict in-situ thermal conductivity based on basic physical property parameters of laboratory tests. …”
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A Bibliometric Review of Type-3 Fuzzy Logic Applications by Fevrier Valdez, Oscar Castillo, Patricia Melin

“…This program is used for the creation of maps of papers, authors, etc., and the development of maps for keywords, countries, research groups, and more.…”
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Topography Effects on Microwave Emission Transmission of Snowpack and Snow Depth Retrieval by L. Dai, T. Che, Z. Hu

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Digital literacy curriculum transformation to overcome filter bubble in Pancasila character understanding by A. Achdyat, Dasim Budimansyah, Encep Syarif Nurdin, Mupid Hidayat

“…The results show that the bubble filter phenomenon on social media affects the way individuals access and understand information, mainly because algorithms tend to present content that matches personal preferences, thus limiting exposure to alternative perspectives. …”
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Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L. by Izreen Izzati Razalli, Muhammad-Redha Abdullah-Zawawi, Rabiatul Adawiah Zainal Abidin, Sarahani Harun, Muhamad Hafiz Che Othman, Ismanizan Ismail, Zamri Zainal

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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…The results showed that HLT, designed in stages, improved the four main components of CT: decomposition, abstraction, pattern recognition, and algorithmic thinking. …”
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Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

“…Despite a long history of research and achievements in designing sorting routines, new hardware features and application requirements pose advanced challenges that computer scientists are recently tackling through novel data-aware (learned) algorithms. …”
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A Review of Reinforcement Learning for Fixed-Wing Aircraft Control Tasks by David J. Richter, Ricardo A. Calix, Kyungbaek Kim

“…Reinforcement learning (RL) has seen an uptick in research interest in recent years, with many papers published in a plethora of different fields, topics and applications. …”
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Use of Levosimendan in Cardiac Anesthesiology by L. A. Krichevsky, V. Yu. Rybakov, O. G. Guseva, I. E. Kharlamova, A. Yu. Lyamin

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Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…This paper reviews the main approaches for estimating anthropogenic heat emissions. …”
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COMPARISON OF THE METHOD OF ELECTROMETRIC DETERMINATION OF ROOT CANAL PARAMETERS AND THE METHOD OF THRESHOLD SEGMENTATION OF RADIOGRAPHS by Oleksii Perepelytsia, Oleg Avrunin

“…Radiological is the most promising for research because of its painlessness to the patient, low radiation dose during intraoral radiography and the possibility of using image processing algorithms to refine the measurement results. …”
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Investigation and Application of Water-Saving Monitoring Technology in Public Institutions by WANG Kang, ZHENG Yongjie, ZHANG Zhen, TANG Yanping, SONG Wenhao, GUO Xiaoming

“…Considering the characteristics of water use and the current situation of water facilities in public institutions,this study comprehensively employs the Internet of Things (IoT),cloud deployment,databases,three-dimensional (3D) visualization,and other advanced techniques to create a water-saving reconstruction scheme with integrated software and hardware for public institutions.Therefore,a smart water management platform for public institutions is built to implement advanced water-saving concepts and improve the water management level.The main research results are as follows:① By intelligent remote monitoring equipment,the multiclass water measurement network is designed to realize the fine collection of zonal water use data;② this study designs a reconstruction scheme of water facilities and explores the utilization mode of unconventional water sources to improve the utilization efficiency of water resources;③ multiple algorithms and statistical methods are used to analyze the time series of water use data,and thus this study realizes the analysis of pipeline network leakage and damage,identification of water use anomalies,and water-saving statistical analysis,and the investigation of water use laws;④ the platform with functions of monitoring and early warning is established to achieve real-time remote monitoring of water use,statistical analysis of historical water use,and identification and warning of pipe network leakage,so as to detect water anomalies in time and save water.The research results are first applied to the construction of the water-saving institution of the Pearl River Water Resources Commission to build a benchmark for the construction of water-saving institutions in the southern region.On the basis of application experience,the comprehensively integrated monitoring technology for water-saving in public institutions is developed,which provides a new idea for public institutions to save water.…”
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Responsible artificial intelligence in Africa: towards policy learning by Paul Plantinga, Kristophina Shilongo, Oarabile Mudongo, Angelique Umubyeyi, Michael Gastrow, Gabriella Razzano

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Epidemiological Features of Chronic Lung Infection in Patients with Cystic Fibrosis by I. A. Shaginyan, M. Yu. Chernukha, L. R. Avetisyan, E. A. Siyanova, D. G. Kulyastova, O. S. Medvedeva, T. B. Priputnevich, D. Yu. Trofimov, A. V. Gordeev, E. I. Kondratieva, E. L. Amelina, S. A. Krasovskiy

“…To define epidemiologic characteristics of chronic lung infection caused by the most common agents (S. aureus, P. aeruginosa, B. cepacia-like bacteria (Bcc) and Achromobacter spp.) using a novel chronic lung infection in cystic fibrosis patients microbiological diagnosis algorithm. Materials and methods. Over a period of 7 years (2008-2016) 300 children with cystic fibrosis living in Moscow, Moscow region and several other regions of Russian Federation have been checked-up. 260 sputum samples from 100 adult patients, who were under care at the Pulmonology Research Institute, were studied. …”
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