Institution
Guizhou Normal University
Education•Guiyang, China•
About: Guizhou Normal University is a education organization based out in Guiyang, China. It is known for research contribution in the topics: Karst & Finite element method. The organization has 3593 authors who have published 3312 publications receiving 27586 citations. The organization is also known as: National Guiyang Normal College & Guiyang Normal College.
Papers published on a yearly basis
Papers
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TL;DR: Understanding PCD and the complex interplay between apoptosis, autophagy and programmed necrosis pathways and apoptosis‐related microRNA regulation, in cancer may ultimately allow scientists and clinicians to harness the three types of PCD for discovery of further novel drug targets, in the future cancer treatment.
Abstract: Programmed cell death (PCD), referring to apoptosis, autophagy and programmed necrosis, is proposed to be death of a cell in any pathological format, when mediated by an intracellular program. These three forms of PCD may jointly decide the fate of cells of malignant neoplasms; apoptosis and programmed necrosis invariably contribute to cell death, whereas autophagy can play either pro-survival or pro-death roles. Recent bulk of accumulating evidence has contributed to a wealth of knowledge facilitating better understanding of cancer initiation and progression with the three distinctive types of cell death. To be able to decipher PCD signalling pathways may aid development of new targeted anti-cancer therapeutic strategies. Thus in this review, we present a brief outline of apoptosis, autophagy and programmed necrosis pathways and apoptosis-related microRNA regulation, in cancer. Taken together, understanding PCD and the complex interplay between apoptosis, autophagy and programmed necrosis may ultimately allow scientists and clinicians to harness the three types of PCD for discovery of further novel drug targets, in the future cancer treatment.
1,197 citations
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TL;DR: Overall, ecosystem services improved from 2000 to 2010, apart from habitat provision, and China’s national conservation policies contributed significantly to the increases in those ecosystem services.
Abstract: In response to ecosystem degradation from rapid economic development, China began investing heavily in protecting and restoring natural capital starting in 2000. We report on China's first national ecosystem assessment (2000-2010), designed to quantify and help manage change in ecosystem services, including food production, carbon sequestration, soil retention, sandstorm prevention, water retention, flood mitigation, and provision of habitat for biodiversity. Overall, ecosystem services improved from 2000 to 2010, apart from habitat provision. China's national conservation policies contributed significantly to the increases in those ecosystem services.
959 citations
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TL;DR: A freely available package for R designed to generate phylogenies for vascular plants, which includes an approach to attach genera or species to their close relatives in a phylogeny, that generates phylogenies at a fast speed, much faster than other phylogeny‐generating packages.
Abstract: We present V.PhyloMaker, a freely available package for R designed to generate phylogenies for vascular plants. The mega‐tree implemented in V.PhyloMaker (i.e. GBOTB.extended.tre), which was derived from two recently published mega‐trees and includes 74 533 species and all families of extant vascular plants, is the largest dated phylogeny for vascular plants. V.PhyloMaker can generate phylogenies for very large species lists (the largest species list that we tested included 314 686 species). V.PhyloMaker generates phylogenies at a fast speed, much faster than other phylogeny‐generating packages. Our tests of V.PhyloMaker show that generating a phylogeny for 60 000 species requires less than six hours. V.PhyloMaker includes an approach to attach genera or species to their close relatives in a phylogeny. We provide a simple example in this paper to show how to use V.PhyloMaker to generate phylogenies.
488 citations
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TL;DR: This paper describes the commonly employed and emerging techniques for mercury remediation, namely: stabilization/solidification (S/S), immobilization, vitrification, thermal desorption, nanotechnology, soil washing, electro-remediation, phytostabilization, phytoextraction and phytovolatilization.
473 citations
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TL;DR: In this paper, a low-cost, high-yield, and scalable two-step approach is reported to prepare a new type of hybrid material containing MoS2/graphene nanosheets prepared from ball-milling and exfoliation of commercial bulky MoS 2 and graphite.
Abstract: Tuning heterointerfaces between hybrid phases is a very promising strategy for designing advanced energy storage materials. Herein, a low-cost, high-yield, and scalable two-step approach is reported to prepare a new type of hybrid material containing MoS2/graphene nanosheets prepared from ball-milling and exfoliation of commercial bulky MoS2 and graphite. When tested as an anode material for a sodium-ion battery, the as-prepared MoS2/graphene nanosheets exhibit remarkably high rate capability (284 mA h g(-1) at 20 A g(-1) (approximate to 30C) and 201 mA h g(-1) at 50 A g(-1) (approximate to 75C)) and excellent cycling stability (capacity retention of 95% after 250 cycles at 0.3 A g(-1)). Detailed experimental measurements and density functional theory calculation reveal that the functional groups in 2D MoS2/graphene heterostructures can be well tuned. The impressive rate capacity of the as-prepared MoS2/graphene hybrids should be attributed to the heterostructures with a low degree of defects and residual oxygen containing groups in graphene, which subsequently improve the electronic conductivity of graphene and decrease the Na+ diffusion barrier at the MoS2/graphene interfaces in comparison with the acid treated one.
350 citations
Authors
Showing all 3615 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Jian Zhou | 128 | 3007 | 91402 |
Qiang Zhang | 71 | 1119 | 23394 |
Li Li | 67 | 855 | 22796 |
Dan Li | 58 | 264 | 9756 |
Zhong-Zhi Bai | 49 | 160 | 9600 |
Yimin Wei | 46 | 382 | 7753 |
Ji Chen | 41 | 127 | 5905 |
Fei Chen | 41 | 437 | 8014 |
Min Liu | 39 | 261 | 5439 |
Jinlong Zhang | 39 | 74 | 5828 |
Sheng-Bang Qian | 38 | 289 | 4994 |
Yuanxu Wang | 32 | 214 | 3814 |
David D. Zhang | 31 | 90 | 3034 |
Bing Lv | 30 | 153 | 4398 |