Institution
Wuhan University
Education•Wuhan, China•
About: Wuhan University is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Computer science & Population. The organization has 92849 authors who have published 92882 publications receiving 1691049 citations. The organization is also known as: WHU & Wuhan College.
Topics: Computer science, Population, Catalysis, Feature extraction, Apoptosis
Papers published on a yearly basis
Papers
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TL;DR: Por-sp2 c-COF, a novel two-dimensional porphyrin-based sp2 carbon-conjugated COF, which adopts an eclipsed AA stacking structure with a Brunauer-Emmett-Teller surface area shows a high chemical stability under various conditions and can be used as a metal-free heterogeneous photocatalyst for the visible-light-induced aerobic oxidation of amines to imines.
Abstract: The construction of stable covalent organic frameworks (COFs) for various applications is highly desirable. Herein, we report the synthesis of a novel two-dimensional (2D) porphyrin-based sp2 carbon-conjugated COF (Por-sp2 c-COF), which adopts an eclipsed AA stacking structure with a Brunauer-Emmett-Teller surface area of 689 m2 g-1 . Owing to the C=C linkages, Por-sp2 c-COF shows a high chemical stability under various conditions, even under harsh conditions such as 9 m HCl and 9 m NaOH solutions. Interestingly, Por-sp2 c-COF can be used as a metal-free heterogeneous photocatalyst for the visible-light-induced aerobic oxidation of amines to imines. More importantly, in comparison to imine-linked Por-COF, the inherent structure of Por-sp2 c-COF equips it with several advantages as a photocatalyst, including reusability and high photocatalytic performance. This clearly demonstrates that sp2 carbon-linked 2D COFs can provide an interesting platform for heterogeneous photocatalysis.
407 citations
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Southwest University1, University of Utah2, Université de Montréal3, University of Wisconsin-Madison4, New Jersey Institute of Technology5, Ludwig Maximilian University of Munich6, McGill University7, Harvard University8, The Mind Research Network9, Nathan Kline Institute for Psychiatric Research10, New York University11, Hangzhou Normal University12, MIND Institute13, Chinese Academy of Sciences14, Sichuan University15, Max Planck Society16, Capital Medical University17, Beijing Normal University18, Yale University19, Dartmouth College20, Virginia Tech21, Nanjing University22, University of Pittsburgh23, Capital Normal University24, Fudan University25, Wuhan University26
TL;DR: The Consortium for Reliability and Reproducibility (CoRR) has aggregated 1,629 typical individuals’ resting state fMRI data from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI).
Abstract: Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.
406 citations
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TL;DR: This review summarizes the metallurgical properties of next-generation NiTi instruments, the impact of thermomechanical treatment on instrument flexibility, and the resistance to cyclic fatigue and torsion.
406 citations
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TL;DR: Comparison of the ABO blood group distribution with COVID-19 confirmed by SARS-CoV-2 test from three hospitals in Wuhan and Shenzhen, China with that in normal people from the corresponding regions showed that blood group A was associated with a higher risk for acquiring CO VID-19 compared with non-A blood groups, whereas blood group O wasassociated with a lower risk for the infection compared withNon-O blood groups.
Abstract: The novel coronavirus disease-2019 (COVID-19) has been spreading around the world rapidly and declared as a pandemic by WHO. Here, we compared the ABO blood group distribution in 2,173 patients with COVID-19 confirmed by SARS-CoV-2 test from three hospitals in Wuhan and Shenzhen, China with that in normal people from the corresponding regions. The results showed that blood group A was associated with a higher risk for acquiring COVID-19 compared with non-A blood groups, whereas blood group O was associated with a lower risk for the infection compared with non-O blood groups. This is the first observation of an association between the ABO blood type and COVID-19. It should be emphasized, however, that this is an early study with limitations. It would be premature to use this study to guide clinical practice at this time, but it should encourage further investigation of the relationship between the ABO blood group and the COVID-19 susceptibility.
405 citations
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TL;DR: It was proved that the fluorescence quenching of HSA by berberine is a result of the formation of berberin-HSA complex and the results of thermodynamic parameters DeltaG, DeltaH, and DeltaS at different temperatures indicate that the electrostatic interactions play a major role for berberines- HSA association.
404 citations
Authors
Showing all 93441 results
Name | H-index | Papers | Citations |
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Jing Wang | 184 | 4046 | 202769 |
Jiaguo Yu | 178 | 730 | 113300 |
Lei Jiang | 170 | 2244 | 135205 |
Gang Chen | 167 | 3372 | 149819 |
Omar M. Yaghi | 165 | 459 | 163918 |
Xiang Zhang | 154 | 1733 | 117576 |
Yi Yang | 143 | 2456 | 92268 |
Thomas P. Russell | 141 | 1012 | 80055 |
Jun Chen | 136 | 1856 | 77368 |
Lei Zhang | 135 | 2240 | 99365 |
Chuan He | 130 | 584 | 66438 |
Han Zhang | 130 | 970 | 58863 |
Lei Zhang | 130 | 2312 | 86950 |
Zhen Li | 127 | 1712 | 71351 |
Chao Zhang | 127 | 3119 | 84711 |