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| 1 | Special Section:SARS-CoV-2 Preliminary evidence from a multicenter prospective observational study of the safety and efficacy of chloroquine for the treatment of COVID-19显示文摘Effective therapies are urgently needed for the SARS-CoV-2 pandemic.Chloroquine has been proved to have antiviral effect against coronavirus in vitro.In this study,we aimed to assess the efficacy and safety of chloroquine with different doses in COVID-19.In this multicenter prospective observational study,we enrolled patients older than 18 years old with confirmed SARS-CoV-2 infection excluding critical cases from 12 hospitals in Guangdong and Hubei Provinces.Eligible patients received chloroquinephosphate s00 mg,orally,once(half dose)or twice(full dose)daily.Patients treated with non-chloroquine therapy were included as historical controls.The primary endpoint is the time to undetectable viral RNA.Secondary outcomes include the proportion of patients with undetectable viral RNA by day 10 and 14,hospitalization time,duration of fever,and adverse events.A total of 197 patients completed chloroquine treatment,and 176patients were included as historical controls.The median time to achieve an undetectable viral RNA was shorter in chloroquine than in non-chloroquine(absolute difference in medians-6.0 days;95%CI-6.0 to—4.0).The duration of fever is shorter in chloroquine(geometric mean ratio 0.6;95%CIO.5 to 0.8).No serious adverse events were observed in the chloroquine group.Patients treated with half dose experienced lower rate of adverse events than with full dose.Although randomized trials are needed for further evaluation,this study provides evidence for safety and efficacy of chloroquine in COVID-19 and suggests that chloroquine can be a cost-effective therapy for combating the COVID-19 pandemic. | Mingxing Huang Man Li Fei Xiao Pengfei Pang Jiabi Liang Tiantian Tang Shaoxuan Liu Binghui Chen Jingxian Shu Yingying You Yang Li Meiwen Tang Jianhui Zhou Guanmin Jiang Jingfen Xiang Wenxin Hong Songmei He Zhaoqin Wang Jianhua Feng Changqing Lin Yinong Ye Zhilong Wu Yaocai Li Bei Zhong Ruilin Sun Zhongsi Hong Jing Liu Huili Chen Xiaohua Wang Zhonghe Li Duanqing Pei Lin Tian Jinyu Xia Shanping Jiang Nanshan Zhong Hong Shan | 2020 | National Science Review2020，7，9： | 20 |
| 2 | Recognition of cotton growth period for precise spraying based on convolution neural network显示文摘Dynamic acquisition of crop morphology is beneficial to real-time variable decision of precise spraying operations in fields.However,the existing spraying quantity regulation has high tolerance on the statistical characteristics of regional morphology,so expensive LiDAR and ultrasonic radar can’t make full use of their high accuracy,and can reduce decision speed because of too much detail of branches and leaves.Therefore,designing a novel recognition system embedded machine learning with low-cost monocular vision is more feasible,especially in China,where the agricultural implements are medium sizes and cost-sensitive.In addition,we found that the growth period of crops is an important reference index for guiding spraying.So,taking cotton as a case study,a cotton morphology acquisition by a single camera is established,and a cotton growth period recognition algorithm based on Convolution Neural Network(CNN)is proposed in this paper.Through the optimization process based on confusion matrix and recognition efficiency,an optimized CNN model structure is determined from 9 different model structures,and its reliability was verified by changing training sets and test sets many times based on the idea of kfold test.The accuracy,precision,recall,F1-score and recognition speed of this CNN model are 93.27%,95.39%,94.31%,94.76%and 71.46 ms per image,respectively.In addition,compared with the performance of VGG16 and AlexNet,the convolution neural network model proposed in this paper has better performance.Finally,in order to verify the reliability of the designed recognition system and the feasibility of the spray decision-making algorithm based on CNN,spraying deposition experiments were carried out with 3 different growthperiods of cotton.The experiments’results validate that after the optimal spray parameters were applied at different growth periods respectively,the average optimum index in 3 growth periods was 42.29%,which was increased up to 62.24%than the operations without distinguishing growth periods. | Shanping Wang Yang Li Jin Yuan Laiqi Song Xinghua Liu Xuemei Liu | 2021 | Information Processing in Agriculture2021，8，2： | 2 |
| 3 | Accelerated prediction of atomically precise cluster structures using on-the-fly machine learning显示文摘The chemical and structural properties of atomically precise nanoclusters are of great interest in numerous applications,but predicting the stable structures of clusters can be computationally expensive.In this work,we present a procedure for rapidly predicting low-energy structures of nanoclusters by combining a genetic algorithm with interatomic potentials actively learned on-the-fly.Applying this approach to aluminum clusters with 21 to 55 atoms,we have identified structures with lower energy than any reported in the literature for 25 out of the 35 sizes.Our benchmarks indicate that the active learning procedure accelerated the average search speed by about an order of magnitude relative to genetic algorithm searches using only density functional calculations.This work demonstrates a feasible way to systematically discover stable structures for large nanoclusters and provides insights into the transferability of machine-learned interatomic potentials for nanoclusters. | Yunzhe Wang Shanping Liu Peter Lile Sam Norwood Alberto Hernandez Sukriti Manna Tim Mueller | 2022 | npj Computational Materials2022，，1： | 0 |
| 4 | Schisandrin B protects PC12 cells by decreasing the expression of amyloid precursor protein and vacuolar protein sorting 35显示文摘PC12 cell injury was induced using 20 μM amyloid β-protein 25-35 to establish a model of Alzheimer's disease. The cells were then treated with 5, 10, and 25 μM Schisandrin B. Methylthiazolyldiphenyl-tetrazolium bromide assays and Hoechst 33342 staining results showed that with increasing Schisandrin B concentration, the survival rate of PC12 cells injured by amyloid β-protein 25-35 gradually increased and the rate of apoptosis gradually decreased. Reverse transcription-PCR, immunocytochemical staining and western blot results showed that with increasing Schisandrin B concentration, the mRNA and protein expression of vacuolar protein sorting 35 and amyloid precursor protein were gradually decreased. Vacuolar protein sorting 35 and amyloid precursor protein showed a consistent trend for change. These findings suggest that 5, 10, and 25 μM Schisandrin B antagonizes the cellular injury induced by amyloid β-protein 25-35 in a dose-dependent manner. This may be caused by decreasing the expression of vacuolar protein sorting 35 and amyloid precursor protein. | Mingmin Yan Shanping Mao Huimin Dong Baohui Liu Qian Zhang Gaofeng Pan Zhiping Fu | 2012 | Neural Regeneration Research2012，7，9： | 0 |
| 5 | FAST discovery of an extremely radio-faint millisecond pulsar from the Fermi-LAT unassociated source 3FGL J0318.1+0252显示文摘High sensitivity radio searches of unassociated γ-ray sources have proven to be an effective way of finding new pulsars. Using the Five-hundred-meter Aperture Spherical radio Telescope(FAST) during its commissioning phase, we have carried out a number of targeted deep searches of Fermi Large Area Telescope(LAT) γ-ray sources. On February 27, 2018 we discovered an isolated millisecond pulsar(MSP), PSR J0318+0253, coincident with the unassociated γ-ray source 3 FGL J0318.1+0252. PSR J0318+0253 has a spin period of 5.19 ms, a dispersion measure(DM) of 26 pc cm-3 corresponding to a DM distance of about 1.3 kpc, and a period-averaged flux density of(~11±2) μJy at L-band(1.05-1.45 GHz). Among all high energy MSPs, PSR J0318+0253 is the faintest ever detected in radio bands, by a factor of at least ~4 in terms of L-band fluxes. With the aid of the radio ephemeris, an analysis of 9.6 years of Fermi-LAT data revealed that PSR J0318+0253 also displays strong γ-ray pulsations. Follow-up observations carried out by both Arecibo and FAST suggest a likely spectral turn-over around 350 MHz. This is the first result from the collaboration between FAST and the Fermi-LAT teams as well as the first confirmed new MSP discovery by FAST, raising hopes for the detection of many more MSPs. Such discoveries will make a significant contribution to our understanding of the neutron star zoo while potentially contributing to the future detection of gravitational waves, via pulsar timing array(PTA) experiments. | Pei Wang Di Li Colin J.Clark Pablo M.Saz Parkinson Xian Hou Weiwei Zhu Lei Qian Youling Yue Zhichen Pan Zhijie Liu Xuhong Yu Shanping You Xiaoyao Xie Qijun Zhi Hui Zhang Jumei Yao Jun Yan Chengmin Zhang Kwok Lung Fan Paul S.Ray Matthew Kerr David A.Smith Peter F.Michelson Elizabeth C.Ferrara David J.Thompson Zhiqiang Shen Na Wang FAST&Fermi-LAT Collaboration | 2021 | Science China(Physics,Mechanics & Astronomy)2021，64，12： | 0 |
| 6 | Pulsar candidate selection using ensemble networks for FAST drift-scan survey显示文摘The Commensal Radio Astronomy Five-hundred-meter Aperture Spherical radio Telescope(FAST) Survey(CRAFTS) utilizes the novel drift-scan commensal survey mode of FAST and can generate billions of pulsar candidate signals. The human experts are not likely to thoroughly examine these signals, and various machine sorting methods are used to aid the classification of the FAST candidates. In this study, we propose a new ensemble classification system for pulsar candidates. This system denotes the further development of the pulsar image-based classification system(PICS), which was used in the Arecibo Telescope pulsar survey, and has been retrained and customized for the FAST drift-scan survey. In this study, we designed a residual network model comprising 15 layers to replace the convolutional neural networks(CNNs) in PICS. The results of this study demonstrate that the new model can sort >96% of real pulsars to belong the top 1% of all candidates and classify >1.6 million candidates per day using a dual-GPU and 24-core computer. This increased speed and efficiency can help to facilitate real-time or quasi-real-time processing of the pulsar-search data stream obtained from CRAFTS. In addition, we have published the labeled FAST data used in this study online, which can aid in the development of new deep learning techniques for performing pulsar searches. | HongFeng Wang WeiWei Zhu Ping Guo Di Li SiBo Feng Qian Yin ChenChen Miao ZhenZhao Tao ZhiChen Pan Pei Wang Xin Zheng XiaoDan Deng ZhiJie Liu XiaoYao Xie XuHong Yu ShanPing You Hui Zhang FAST Collaboration | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，5： | 0 |
| 7 | Active MoS_(2)-based electrode for green ammonia synthesis显示文摘Nitrogen electro-reduction under mild conditions is one promising alternative approach of the energyconsuming Haber-Bosch process for the artificial ammonia synthesis.One critical aspect to unlocking this technology is to discover the catalysts with high selectivity and efficiency.In this work,the N_(2)-to-NH_(3)conversion on the functional MoS_(2)is fully investigated by density functional theory calculations since the layered MoS_(2)provides the ideal platform for the elaborating copies of the nitrogenase found in nature,wherein the functionalization is achieved via basal-adsorption,basal-substitution or edge-substitution of transition metal elements.Our results reveal that the edge-functionalization is a feasible strategy for the activity promotion;however,the basal-adsorption and basal-substitution separately suffer from the electrochemical instability and the NRR inefficiency.Specifically,MoS_(2)functionalized via edge W-substitution exhibits an exceptional activity.The energetically favored reaction pathway is through the distal pathway and a limiting potential is less than 0.20 V.Overall,this work escalates the rational design of the high-effective catalysts for nitrogen fixation and provides the explanation why the predicated catalyst have a good performance,paving the guidance for the experiments. | Xin Liu Lei Yang Tao Wei Shanping Liu Beibei Xiao | 2024 | Chinese Journal of Chemical Engineering2024，65，1： | 0 |
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