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- Volume 2, Issue 3, 2022
Current Chinese Science - Volume 2, Issue 3, 2022
Volume 2, Issue 3, 2022
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Attitude and Orbit Control of a Space Robot at Additional Launching and Approaching a Geostationary Satellite
Authors: Yevgeny Somov, Sergey Butyrin and Sergey SomovBackground: The problems of putting a space robot into a geostationary orbit using a combined scheme and its approach to a geostationary satellite are considered. The authors’ previous results on this topic are briefly analyzed. Objective: The paper deals with three problems: further development of a rational strategy for the robot’s add-launching on geostationary orbit and its approaching target using a plasma electr Read More
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The Intrinsically Disordered Protein: A Literature Landscape
Authors: Mouna Choura, Faiçal Brini and Ahmed RebaïBackground: Intrinsically disordered proteins (IDPs) are proteins that lack a predetermined 3D structure and play key cellular functions. IDPs are often involved in diseases and have been shown to be attractive targets for drug development. The IDPs have been intensively investigated, revealing important results. Objective: This study aimed to evaluate the latest research bibliography since 2010, including the latest findi Read More
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A Review of Nitro-Hydroxylation Transformation on Aromatic Ring
Authors: Jian Hang Bu, Qian-Hui Ding, Hui Zhong, Xu-Dong Zhou, Bin Li, Wei Wang and Wen-Bing ShengAromatic nitro compounds are widely used to synthesize medicine, dyes, spices, and other organic synthesis reagents for their wide sources and low cost. One of the most important uses is the synthesis of phenolic compounds. Moreover, the nitro group on the aromatic ring can be converted to hydroxyl after reduction, diazotization, and hydrolysis, which is a traditional method to get hydroxyl. This mini-review describes the m Read More
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Ice Coverage of the Laptev Sea and Air Temperature Variation during Recent Centuries: Observed Data and Reconstructions Using a Geochemical Proxy
Objective: The aim was to reconstruct the climatic parameters and ice of the Laptev Sea over the last centuries and identify the causes of their variability. Background: The ice-free water area of the Arctic Ocean has increased considerably during the summer-autumn period in recent decades, which may be attributed to several climatic and oceanographic factors. Methods: The ice-free period duration and mean annu Read More
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Construction of Artificial Cells Utilizing DNA Nanotechnology
Authors: Shuang Liu, Chunjuan Zhang, Fan Yang, Zhenzhen Guo and Qiaoling LiuProgrammable DNA nanostructures are excellent modules for preparing artificial cells with complex structures and functions. As a biocompatible building material, DNA nanostructures can mimic cell components on the nanoscale and serve as artificial cell structural units, such as membrane proteins, cytoskeleton, organelles, or even protocell models. The incorporation of DNA strand displacement reactions and functional nuc Read More
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In silico Investigation of Immunodominant Antigenic Regions, Helper T Lymphocyte, and Cytotoxic T Lymphocyte Epitopes Credentials for SARS-CoV-2 Vaccination
Background: Recently, COVID-19 cases have been increasing globally at an alarming rate due to the COVID-19 second wave despite the mass vaccination programs. Search for the potential vaccine for SARS-CoV-2 is still in progress. The epitope-based vaccine is effective and is a cornerstone in vaccine development. The quick prediction of epitopes could be a proficient way of monitoring vaccine development duri Read More
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High-Performance Fault Classification Based on Feature Importance Ranking-XgBoost Approach with Feature Selection of Redundant Sensor Data
Authors: Jilun Tian, Yuchen Jiang, Jiusi Zhang, Zhenhua Wang, Juan J. Rodríguez-Andina and Hao LuoBackground: Through the analysis of the relevant data of industrial equipment, faults diagnosis is helpful for system maintenance and reducing economic losses. Objective: This study aimed at reducing the influence of irrelevant features and efficiently training the FIR-XgBoost model. Methods: An Extreme Gradient Boosting (XgBoost) approach based on feature importance ranking (FIR) is proposed in this article for fau Read More
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