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Institution

China Three Gorges University

EducationYichang, China
About: China Three Gorges University is a education organization based out in Yichang, China. It is known for research contribution in the topics: Catalysis & Landslide. The organization has 11161 authors who have published 8011 publications receiving 82224 citations. The organization is also known as: Sanxia Daxue.


Papers
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Journal ArticleDOI
TL;DR: In this article, the electrochemical activities of metal sulfides are classified and their applications in Li-S batteries are introduced to provide a fundamental understanding of the material interactions involved, and special attention is paid to the general design principles, future prospects, and challenges facing metal sulfide-based materials for high-energy-density Li−S batteries.
Abstract: Lithium–sulfur batteries have low material costs and high energy densities, which have attracted considerable research interest for application in next-generation energy-storage systems. However, the practical applications of Li–S batteries face challenges owing to their poor sulfur utilization, service lifetimes, and rate capability. Recently, great progress has been made in the design, synthesis, and application of micro/nanostructured metal sulfides to address obstacles facing Li–S batteries. This review aims to highlight valuable concepts from the latest reports. Major approaches to improve sulfur cathodes and strategies for preparing metal sulfide-based materials are first summarized with a particular focus on their main functions and useful properties. Then, the electrochemical activities of metal sulfides are classified and their applications in Li–S batteries are introduced to provide a fundamental understanding of the material interactions involved. In parallel, advancements in the use of interlayers, modification of separators, and protection of lithium anodes that involve metal sulfides are surveyed. Finally, special attention is paid to the general design principles, future prospects, and challenges facing metal sulfides for high-energy-density Li–S batteries.

73 citations

Journal ArticleDOI
TL;DR: In this article, the neighborhood rough set theory is used to identify the triggering factors responsible for landslide deformation, and the most important triggering factors vary between different sites, data types and the time interval used to define them.

73 citations

Journal ArticleDOI
15 Mar 2021
TL;DR: In this article, the structure of two-dimensional nanomaterials and their high-speed electron transport channels have been exploited for photocatalytic CO2 reduction reactions (CO2RR), hydrogen evolution reactions (HER), and degradation reactions.
Abstract: MXenes are two-dimensional nanomaterials, which can be constructed from different elements. The rich interlayer groups, surface groups, and the flexible layer spacing of MXenes make them ideal catalysts. Among these, Ti3C2Tx has gained particular attention as a photocatalyst for photocatalytic CO2 reduction reactions (CO2RR), hydrogen evolution reactions (HER), and photocatalytic degradation reactions. The structure of Ti3C2Tx, hydrophilic surface functional groups, and the Gibbs free energy for hydrogen adsorption lead to the excellent photocatalytic HER performance of this material. Numerous surface defects on Ti3C2Tx also provide plentiful CO2 adsorption sites for CO2RR. It is the structure of two-dimensional nanomaterials and their high-speed electron transport channels that enable their excellent catalytic oxidation activity. However, at present, there are still challenges that limit their further application, the most significant of which is the material stability. In order to overcome this, the synthetic routes to prepare these photocatalysts need to be adapted.

73 citations

Journal ArticleDOI
TL;DR: The findings highlight the critical roles of SIK1 and its targets in the regulation of HCC development and provides potential new candidates for HCC therapy.

73 citations

Journal ArticleDOI
01 Feb 2017
TL;DR: This work adopts the following four steps to analyze the event-driven warning message propagation process and suggest a suitable message lifetime for the Vehicle-to-Vehicle (V2V) network.
Abstract: In order to increase the probability of delivering warning messages to all vehicles (or nodes) in the Zone Of Relevance (ZOR), Vehicular Ad Hoc Networks (VANETs) adopt the periodical broadcast to disseminate warning messages. The broadcast way brings the problem of how to set the suitable message lifetime for the propagation of the warning message. To tackle the aforementioned problem, this work adopts the following four steps to analyze the event-driven warning message propagation process and suggest a suitable message lifetime for the Vehicle-to-Vehicle (V2V) network. At first, an analytical model was proposed to investigate the event-driven warning message propagation process in a connected network, and thus assure that it is difficult to guarantee all nodes in the ZOR being in the same partition. Next, an analytical model was proposed to investigate the event-driven warning message propagation process in a partitioned network, and then the probability of delivering warning messages to all nodes in the ZOR for different traffic conditions is derived. Furthermore, to reduce redundancy caused by multi-hop broadcast, an direction-aware broadcast protocol was proposed for the partitioned network according to the proposed analytical models. At last, the impact of traffic characteristics on the setting of the suitable message lifetime was evaluated through numerical and simulation results. The results shown that the warning message propagation process depends on the traffic characteristics, e.g., nodes' density, nodes' speed and the dangerous time. The results also shown that when the message lifetime increases to certain values for different traffic conditions, the delivery probability is not increased, but just consuming power and causing serious redundancy. As a result, the work shown that the suitable message lifetime should be set according to the traffic condition of involved nodes.

73 citations


Authors

Showing all 11222 results

NameH-indexPapersCitations
Shu Li136100178390
Yu Huang136149289209
Jian Zhang107306469715
Tao Li102248360947
Jian Chen96171852917
Jing Zhang95127142163
Qichun Zhang9454028367
Bin Li92175542835
Xianhui Bu8729020927
Dawei Wang8593441226
Guangshan Zhu7736921281
Fei Xu7174324009
Jian Zhang7031714802
Ying Wu7048922952
Chao Zhang6933123555
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202333
202285
2021997
2020900
2019754
2018571