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| 1 | Comparison of nonhuman primates identified the suitable model for COVID-19显示文摘Identification of a suitable nonhuman primate(NHP)model of COVID-19 remains challenging.Here,we characterized severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection in three NHP species:Old World monkeys Macaca mulatta(M.mulatta)and Macaca fascicularis(M.fascicularis)and New World monkey Callithrix jacchus(C.jacchus).Infected M.mulatta and M.fascicularis showed abnormal chest radiographs,an increased body temperature and a decreased body weight.Viral genomes were detected in swab and blood samples from all animals.Viral load was detected in the pulmonary tissues of M.mulatta and M.fascicularis but not C.jacchus.Furthermore,among the three animal species,M.mulatta showed the strongest response to SARS-CoV-2,including increased inflammatory cytokine expression and pathological changes in the pulmonary tissues.Collectively,these data revealed the different susceptibilities of Old World and New World monkeys to SARS-CoV-2 and identified M.mulatta as the most suitable for modeling COVID-19. | Shuaiyao Lu Yuan Zhao Wenhai Yu Yun Yang Jiahong Gao Junbin Wang Dexuan Kuang Mengli Yang Jing Yang Chunxia Ma Jingwen Xu Xingli Qian Haiyan Li Siwen Zhao Jingmei Li Haixuan Wang Haiting Long Jingxian Zhou Fangyu Luo Kaiyun Ding Daoju Wu Yong Zhang Yinliang Dong Yuqin Liu Yinqiu Zheng Xiaochen Lin Li Jiao Huanying Zheng Qing Dai Qiangming Sun Yunzhang Hu Changwen Ke Hongqi Liu Xiaozhong Peng | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 5 |
| 2 | Near-infrared luminescent Nd^(3+)/Yb^(3+)-codoped metal-organic framework for ratiometric temperature sensing in physiological range显示文摘Self-calibrating luminescent thermometry employing luminescence within the optical transparency windows provides a promising prospect for temperature measurement in the biological fields.In this work,a new Nd^(3+)/Yb^(3+)-codoped metal-organic framework Nd_(0.95)Yb_(0.05)BPTC showing threedimensional anionic network,obtained by reacting ligand[1,1’-biphenyl]-3,3’,5,5’-tetracarboxylic acid(H4BPTC)with Nd^(3+)and Yb^(3+)ions under solvothermal conditions,is reported.Upon 808 nm photoexcitation,Nd_(0.95)Yb_(0.05)BPTC simultaneously emits the characteristic near-infrared luminescence of Nd^(3+)and Yb^(3+)ions based on the efficient energy transfer from Nd^(3+)to Yb^(3+)ions.In addition,the emission intensity ratio of Yb^(3+)and Nd^(3+)shows good exponential-like response to temperature in the physiological range of 293-323 K.The feature properties of Nd_(0.95)Yb_(0.05)BPTC include near-infrared absorption and emission,favorable temperature sensitivity and accurate temperature uncertainty,as well as good chemical stability,making such system useful in biomedical applications. | Chao Gu Yanyun Ding Xinghua Quan Mengyao Gong Jiulong Yu Dian Zhao Chunxia Li | 2021 | Journal of Rare Earths2021，39，9： | 4 |
| 3 | Effect of exogenous sper- midine on polyamine metabolism in water hyacinth leaves under mercury stress 显示文摘 | Chunxia Ding Guoxin Shi | 2010 | Plant Growth Regul2010，60，： | 1 |
| 4 | Effect of exogenous spermidine on polyamine metabolism in water hy- acinth leaves under mercury stress 显示文摘 | Ding Chunxia Shi Guoxin XU xiaoying | 2010 | Plant Growth Regul2010，，60： | 1 |
| 5 | Improving the electrocatalytic activity of Fe,N co-doped biochar for polysulfide by regulation of N-C and Fe-N-C electronic configurations显示文摘The conversion of agricultural residual biomass into biochar as a sulfur host material for Li-S batteries is a promising approach to alleviate the greenhouse effect and realize waste resource reutilization.However,the large-scale application of pristine biochar is hindered by its low electrical conductivity and limited electrocatalytic sites.This paper addressed these challenges via the construction of Fe-N co-doped biochar(Fe-NOPC)through the copyrolysis of sesame seeds shell and ferric sodium ethylenediaminetetraacetic acid(NaFeEDTA).During the synthesis process,NaFeEDTA was used as an extra carbon resource to regulate the chemical environment of N doping,which resulted in the production of high contents of graphitic,pyridinic,and pyrrolic N and Fe-Nx bonds.When the resulting Fe-NOPC was used as a sulfur host,the pyridinic and pyrrolic N would adjust the surface electron structure of biochar to accelerate the electron/ion transport,and the electropositive graphitic N could be combined with sulfur-related species via electrostatic attraction.Fe-Nx could also promote the redox reaction of lithium polysulfides due to the strong Li-N and S-Fe bonds.Benefiting from these advantages,the resultant Fe-NOPC/S cathode with a sulfur loading of 3.8 mg·cm^(-2)delivered an areal capacity of 4.45 mAh·cm^(-2)at 0.1C and retained a capacity of 3.45 mAh·cm^(-2)at 1C.Thus,this cathode material holds enormous potential for achieving energy-dense Li-S batteries. | Jingchun Sun Jindiao Guan Suqing Zhou Jiewei Ouyang Nan Zhou Chunxia Ding Mei’e Zhong | 2023 | International Journal of Minerals,Metallurgy and Materials2023，30，12： | 0 |
| 6 | The olfactory route is a potential way for SARS-CoV-2 to invade the central nervous system of rhesus monkeys显示文摘Neurological manifestations are frequently reported in the COVID-19 patients.Neuromechanism of SARS-CoV-2 remains to be elucidated.In this study,we explored the mechanisms of SARS-CoV-2 neurotropism via our established non-human primate model of COVID-19.In rhesus monkey,SARS-CoV-2 invades the CNS primarily via the olfactory bulb.Thereafter,viruses rapidly spread to functional areas of the central nervous system,such as hippocampus,thalamus,and medulla oblongata.The infection of SARS-CoV-2 induces the inflammation possibly by targeting neurons,microglia,and astrocytes in the CNS.Consistently,SARS-CoV-2 infects neuro-derived SK-N-SH,glial-derived U251,and brain microvascular endothelial cells in vitro.To our knowledge,this is the first experimental evidence of SARS-CoV-2 neuroinvasion in the NHP model,which provides important insights into the CNS-related pathogenesis of SARS-CoV-2. | Li Jiao Yun Yang Wenhai Yu Yuan Zhao Haiting Long Jiahong Gao Kaiyun Ding Chunxia Ma Jingmei Li Siwen Zhao Haixuan Wang Haiyan Li Mengli Yang Jingwen Xu Junbin Wang Jing Yang Dexuan Kuang Fangyu Luo Xingli Qian Longjiang Xu Bin Yin Wei Liu Hongqi Liu Shuaiyao Lu Xiaozhong Peng | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 0 |
| 7 | Estimating the air exchange rates in naturally ventilated cattle houses using Bayesian-optimized GBDT显示文摘It is challenging to estimate the air exchange rate(AER)dynamically in naturally ventilated livestock buildings such as dairy houses due to the influence of complex and variable outdoor environmental factors,large opening ratios,and the confusion of inflow and outflow at openings.This makes it difficult to efficiently regulate the opening ratio to meet the ventilation requirements in naturally ventilated livestock buildings.In this study,the air exchange rates of naturally ventilated cattle houses(NVCHs)in different seasons and opening ratios were obtained through field measurements and computational fluid dynamics(CFD)simulations.A fast and efficient machine learning framework was proposed and examined to predict AER based on the gradient boosting decision tree(GBDT)combined with Bayesian optimization.Compared with commonly used machine learning models such as multilayer perceptrons(MLPs)and support vector machines(SVMs),the proposed GBDT model has higher prediction accuracy and can avoid falling easily into local optima.Compared with the existing mechanical model based on the Bernoulli equation,the proposed GBDT model showed a slightly higher prediction than the mechanistic model and was much easier to use in AER estimation when inputting easily collected environmental factors in practical applications.Using Bayesian optimization could dramatically reduce the computing time when determining the optimal hyperparameter for establishing the GBDT model,dramatically saving on computing resources.Based on the Bayesian optimized GBDT model,the desirable opening ratio of the side curtain can be determined for automatically regulating the AER of cattle houses in future applications. | Luyu Ding Lei E Yang Lyu Chunxia Yao Qifeng Li Shiwei Huang Weihong Ma Ligen Yu Ronghua Gao | 2023 | International Journal of Agricultural and Biological Engineering2023，16，1： | 0 |
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