Institution
Xinjiang Normal University
Education•Ürümqi, China•
About: Xinjiang Normal University is a education organization based out in Ürümqi, China. It is known for research contribution in the topics: Population & Catalysis. The organization has 1547 authors who have published 1354 publications receiving 11258 citations.
Topics: Population, Catalysis, Water resources, Artificial neural network, China
Papers published on a yearly basis
Papers
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TL;DR: Two 24-nuclear lanthanide clusters, and were obtained and structurally characterized, and magnetic investigations reveal that exhibits the largest entropy change (-ΔS(m)) of 46.12 J kg (-1) K(-1) for ΔH = 7 T in all reported molecular clusters.
253 citations
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TL;DR: By noncompact measure method, some sufficient conditions are obtained to ensure the existence of mild solution of evolution equation with Hilfer fractional derivative which generalized the famous Riemann-Liouville fractional derivatives.
248 citations
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TL;DR: In this article, an extended STIRPAT model based on the classical IPAT identity was used to determine the main driving factors for energy related carbon emissions in Xinjiang, and the results showed that the impacts and influences of various factors on carbon emissions are different in the three different development stages.
Abstract: Analysis of driving factors of energy related carbon emissions from the regional perspective is necessary and helpful for China to achieve its reduction targets. An extended STIRPAT model based on the classical IPAT identity was used to determine the main driving factors for energy related carbon emissions in Xinjiang. In order to get the best understanding of driving factors on carbon emissions during 1952–2012, we divided the process into 3 stages, such as “Before Reform and Opening up” (1952–1978), “After Reform and Opening up” (1978–2000), and “Western Development” (2000–2012). Research results show that the impacts and influences of various factors on carbon emissions are different in the three different development stages. Before the Reform and Opening up (1952–1977), carbon intensity and population size are the two dominant contributors to the carbon emissions increments, while energy consumption structure is the important influencing factor in curbing carbon emissions. After the Reform and Opening up (1978–2000), economic growth and population size are the two dominant contributors to the carbon emissions increments, while carbon intensity plays the important negative effect on carbon emissions. During the Western Development (2001–2012), fixed assets investment and economic growth are the two dominant contributors to the carbon emissions increments, while carbon intensity plays the important negative effect on carbon emissions. Solving these problems effectively will be of great help for Xinjiang to harmonize economic growth and carbon emissions reduction, even environmental damage reduction.
247 citations
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TL;DR: The results provide more solid evidence for the associations between ACE II genotype and endurance events and between ACTN3 R allele and power events and suggest that the genetic profiles might influence human physical performance.
Abstract: Background
Genetic polymorphism is suggested to be associated with human physical performance. The angiotensin I-converting enzyme insertion/deletion (ACE I/D) polymorphism and the α-actinin-3 gene (ACTN3) R577X polymorphism have been most widely studied for such association analysis. However, the findings are frequently heterogeneous. We aim to summarize the associations of ACE I/D and ACTN3 R577X with sport performance by means of meta-analysis.
236 citations
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TL;DR: In this article, a model describing dynamics of bidirectional associative memory (BAM) neural networks with distributed delays is considered, and sufficient criteria of global asymptotic stability and uniform stability of an equilibrium point are given.
221 citations
Authors
Showing all 1554 results
Name | H-index | Papers | Citations |
---|---|---|---|
Qian Wang | 108 | 2148 | 65557 |
Wei Wu | 58 | 727 | 16590 |
Shilie Pan | 57 | 609 | 14327 |
Hao Zheng | 40 | 145 | 11558 |
Hongdeng Qiu | 37 | 182 | 4278 |
Yinnian He | 34 | 235 | 4693 |
Peng Wang | 26 | 186 | 2589 |
Song-Hai Wu | 25 | 68 | 1784 |
Fu Wang | 25 | 84 | 3751 |
Hiroo Sekiya | 23 | 273 | 2115 |
Ziwei Gao | 22 | 124 | 1743 |
Nai’ang Wang | 19 | 57 | 978 |
Hang Zheng | 17 | 80 | 983 |
Xueling Lei | 16 | 53 | 708 |
Kien Nguyen | 14 | 129 | 1050 |