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| 1 | Long Distance Transmission of SARS-CoV-2 from Contaminated Cold Chain Products to Humans——Qingdao City,Shandong Province,China,September 2020显示文摘Summary What is already known about this topic?Though coronavirus disease 2019(COVID-19)has largely been controlled in China,several outbreaks of COVID-19 have occurred from importation of cases or of suspected virus-contaminated products.Though several outbreaks have been traced to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)isolated on the outer packaging of cold chain products,live virus has not been obtained. | Huilai Ma Zhaoguo Wang Xiang Zhao Jun Han Yong Zhang Hong Wang Cao Chen Ji Wang Fachun Jiang Jie Lei Jingdong Song Shaofeng Jiang Shuangli Zhu Huihui Liu Dongyan Wang Yao Meng Naiying Mao Yanhai Wang Zhen Zhu Zhixiao Chen Bingling Wang Qinqin Song Haijun Du Qun Yuan Dong Xia Zhiqiang Xia Peipei Liu Yuchao Wu Zijian Feng Ruqin Gao George F.Gao Wenbo Xu | 2021 | China CDC weekly2021，3，30： | 13 |
| 2 | Boosting multi-hole water oxidation catalysis on hematite photoanodes under low bias显示文摘The accumulation of multiple surface holes is considered to be the key to efficient photoelectrochemical(PEC)water oxidation.Previous PEC water oxidation studies commonly apply high potentials(>1.2 VRHE)to achieve this key.But how to complete multi-hole transfer under low bias(<1.2 VRHE)remains unknown.Herein,we find that,on a typical visible-light photoanode,hematite(α-Fe_(2)O_(3)),UV excitation plays a indispensable role in driving multi-hole water oxidation under low bias.Compared with the visible-light excitation,the UV excitation promotes the formation of adjacent surface-trapped holes onα-Fe_(2)O_(3) at 0.9VRHE,thereby increasing the reaction order of surface holes from~1 to~2 and improving the PEC water oxidation activity by one order of magnitude.The UV irradiation reduces the formation probability of self-trapped excitons and results in~3 to 5-fold increase of surface holes.These advantages enable the UV excitation to contribute about 40%to the total photocurrent under 1 solar illumination,even though its energy only occupies 6%of the incident light.This mechanism is also applicable to boost selective two-hole oxidation of thioether at 0.1 VFc/Fc+and nitrite at 0.9 VRHE. | Lei Wu Daojian Tang Jing Xue Shuobo Wang Hongwei Ji Chuncheng Chen Yuchao Zhang Jincai Zhao | 2023 | Science China Chemistry2023，66，3： | 2 |
| 3 | Surveillance and Analysis of SARS-CoV-2 Variant Importation—China,January–June 2022显示文摘Introduction:The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron variant is the dominant circulating strain worldwide.To assess the importation of SARS-CoV-2 variants in the mainland of China during the Omicron epidemic,the genomic surveillance data of SARS-CoV-2 from imported coronavirus disease 2019(COVID-19)cases in the mainland of China during the first half of 2022 were analyzed.Methods:Sequences submitted from January to July 2022,with a collection date before June 30,2022,were incorporated.The proportions of SARS-CoV-2 variants as well as the relationships between the origin and destination of each Omicron imported case were analyzed.Results:4,946 sequences of imported cases were submitted from 27 provincial-level administrative divisions(PLADs),and the median submission interval was within 1 month after collection.In 3,851 Omicron sequences with good quality,1 recombinant(XU)and 4 subvariants under monitoring(BA.4,BA.5,BA.2.12.1,and BA.2.13)were recorded,and 3 of them(BA.4,BA.5,and BA.2.12.1)caused local transmissions in the mainland of China later than that recorded in the surveillance.Omicron subvariants dominated in the first half of 2022 and shifted from BA.1 to BA.2 then to BA.4 and BA.5.The percentage of BA.2 in the imported SARS-CoV-2 surveillance data was far higher than that in the Global Initiative on Sharing All Influenza Data(GISAID).The imported cases from Hong Kong Special Administrative Region,China,accounted for 32.30%of Omicron cases sampled,and 98.71%of them were BA.2.Conclusions:The Omicron variant showed the intra-Omicron evolution in the first half of 2022,and all of the Omicron subvariants were introduced into the mainland of China multiple times from multiple different locations. | Yenan Feng Xiang Zhao Zeyuan Yin Changcheng Wu Zhixiao Chen Kai Nie Ruhan A Lili Li Peihua Niu Ji Wang Yuchao Wu Shiwen Wang Dayan Wang Wenjie Tan Huanyu Wang Xuejun Ma George FGao Cao Chen Wenbo Xu | 2022 | China CDC weekly2022，4，50： | 1 |
| 4 | Genomic Surveillance for SARS-CoV-2—China,September 26,2022 to January 29,2023显示文摘Introduction:The severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has generated 2,431 variants over the course of its global transmission over the past 3 years.To better evaluate the genomic variation of SARS-CoV-2 before and after the optimization of coronavirus disease 2019(COVID-19)prevention and control strategies,we analyzed the genetic evolution branch composition and genomic variation of SARS-CoV-2 in both domestic and imported cases in China(the data from Hong Kong and Macao Special Administrative Regions and Taiwan,China were not included)from September 26,2022 to January 29,2023.Methods:Analysis of the number of genome sequences,sampling time,dynamic changes of evolutionary branches,origin,and clinical typing of SARS-CoV-2 variants submitted by 31 provincial-level administrative divisions(PLADs)and Xinjiang Production and Construction Corps(XPCC)was conducted to assess the accuracy and timeliness of SARS-CoV-2 variant surveillance.Results:From September 26,2022 to January 29,2023,20,013 valid genome sequences of domestic cases were reported in China,with 72 evolutionary branches.Additionally,1,978 valid genome sequences of imported cases were reported,with 169 evolutionary branches.The prevalence of the Omicron variants of SARS-CoV-2 in both domestic and imported cases was consistent with that of international epidemic variants.Conclusions:This study provides an overview of the prevalence of Omicron variants of SARS-CoV-2 in China.After optimizing COVID-19 prevention and control strategies,no novel Omicron variants of SARSCoV-2 with altered biological characteristics or public health significance have been identified since December 1,2022. | Shiwen Wang Peihua Niu Qiudong Su Xiaozhou He Jing Tang Ji Wang Yenan Feng Cao Chen Xiang Zhao Zhixiao Chen Wenling Wang Zeyuan Yin Yuchao Wu Changcheng Wu Lili Li Aili Cui Yan Zhang Caiyun Long Xiaoyu Yang Zhongxian Zhang Hong Bo Wenbo Xu SARS-CoV-Genome Working Group | 2023 | China CDC weekly2023，5，7： | 1 |
| 5 | An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations显示文摘Physics-Informed Neural Network(PINN)represents a new approach to solve Partial Differential Equations(PDEs).PINNs aim to solve PDEs by integrating governing equations and the initial/boundary conditions(I/BCs)into a loss function.However,the imbalance of the loss function caused by parameter settings usually makes it difficult for PINNs to converge,e.g.because they fall into local optima.In other words,the presence of balanced PDE loss,initial loss and boundary loss may be critical for the convergence.In addition,existing PINNs are not able to reveal the hidden errors caused by non-convergent boundaries and conduction errors caused by the PDE near the boundaries.Overall,these problems have made PINN-based methods of limited use on practical situations.In this paper,we propose a novel physics-informed neural network,i.e.an adaptive physics-informed neural network with a two-stage training process.Our algorithm adds spatio-temporal coefficient and PDE balance parameter to the loss function,and solve PDEs using a two-stage training process:pre-training and formal training.The pre-training step ensures the convergence of boundary loss,whereas the formal training process completes the solution of PDE by balancing various loss functions.In order to verify the performance of our method,we consider the imbalanced heat conduction and Helmholtz equations often appearing in practical situations.The Klein-Gordon equation,which is widely used to compare performance,reveals that our method is able to reduce the hidden errors.Experimental results confirm that our algorithm can effectively and accurately solve models with unbalanced loss function,hidden errors and conduction errors.The codes developed in this manuscript are publicy available at http://gffzz188fe103f8f1460asv0v9kc9b9ufq6uu6.ffgz.tsg.suse.edu.cn/callmedrcom/ATPINN. | Shuyan Shi Ding Liu Ruirui Ji Yuchao Han | 2023 | Numerical Mathematics(Theory,Methods and Applications)2023，16，2： | 0 |
| 6 | Opportunities of CO_(2)-based biorefineries for production of fuels and chemicals显示文摘Biorefinery production of fuels and chemicals represents an attractive route for solving current energy crisis,as well as reducing green-house gas(GHG)emissions from ships,planes,and long-haul trucks.The current biorefinery industry is under transition from the use of food(1G,1st generation),to the use of biomass(2G,2nd generation).Moreover,the use of atmospheric CO_(2)(3G,3rd generation)has caught increased attention as the possible next-generation biorefinery.Here we discuss how microorganisms can be engineered for CO_(2)-based biorefineries to produce fuels and chemicals.We start through reviewing different metabolic pathways that can be recruited for CO_(2)fixation,followed by different opportunities for CO_(2)fixation,either through co-consumption with sugars or used as the sole carbon source.Key challenges and future research directions for advancing 3rd-generation biorefineries are also be discussed. | Zihe Liu Shuobo Shi Yuchao Ji Kai Wang Tianwei Tan Jens Nielsen | 2023 | Green Carbon2023，1，1： | 0 |
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