聚乙二醇@聚乙烯醇同轴相变纤维的储热特性

以具有高相变焓的聚乙二醇(PEG 4000)为核层相变材料(PCM)、聚乙烯醇(PVA)为壳层支撑材料、绿色溶剂水为壳层和核层材料溶剂,通过同轴静电纺丝制备出不同核层纺丝液浓度、进液速度的核-壳相变纤维。扫描电镜和透射电镜照片显示,在PEG质量分数为45%、进液速度为0.06 mL/h时,PEG@PVA具有良好的形貌及较高含量的PEG,相变纤维核壳分界面明显。红外光谱分析显示,PEG与PVA化学相容性良好;差示扫描量热分析和热重分析表明,PEG@PVA熔融温度为62.8℃,熔融焓为86.40 J/g,封装效率为42.2%,并且相变纤维膜起始热分解温度较高,在经过500次热循环实验后,熔融焓约损失3.1%,仍能保持绝大部分相变能力;导热测试表明,PEG@PVA膜的热导率介于壳层PVA与核层PEG之间;模拟PEG@PVA膜在工作环境中的温度变化得到温度-时间曲线,结果表明,相变纤维膜可以有效地调节微环境的温度。

基于多尺度分段的长时间序列预测方法

针对目前长时间序列预测(long sequence time-series forecasting,LSTF)存在历史数据量大、计算复杂度高、预测精度要求高等问题,提出一种基于多尺度分段的Transformer模型.该模型基于Transformer架构进行改进和优化,使用多尺度分段将时间序列切片成多个时间段进行训练和预测,降低了长时间序列的复杂性,并实现了更高精度的预测.在电力变压器油温(electricity transformer temperature,ETT)数据集、用电负荷(electricity consumption load,ECL)数据集和天气(Weather)数据集中,分别采用传统Transfomer、Informer、门控循环单元(gated recurrent unit,GRU)、时序卷积网络(temporal convolutional network,TCN)和长短期记忆(long short-term memory,LSTM)5种基准模型与本研究提出的多尺度分段的Transformer模型,对长时间序列进行预测.结果表明,采用基于多尺度分段的Transformer模型在Weather数据集上对预测长度为192的时间序列预测的均方误差和平均绝对误差分别为0.367和0.407,均优于其他模型.基于多尺度分段的Transformer模型可以综合Transformer模型的优点,且计算速度更快,预测性能更高.

家具供应链碳减排的影响因素

【目的】家具作为木材供应链的终端产品积累了最主要的碳流,为减轻家具制造业高污染环节对环境造成的极大负担,分析家具供应链碳减排的关键影响因素,构建家具供应链碳减排影响因素结构层次模型,为推动家具产业降碳减排提供决策支持。【方法】运用文献研究法筛选家具供应链碳减排关键影响因素,运用决策实验室方法和解释结构模型组合方法开展影响因素分析,分析各影响因素之间关联,确定影响因素层级。【结果】1)低碳能源供给、低碳材料供给、低碳设备供给、低碳生产技术位于家具供应链碳减排影响因素结构层次模型第一层,为直接影响因素,对家具供应链碳减排产生直接影响。2)政府技术补贴、低碳运输位于家具供应链碳减排影响因素结构层次模型第二层,低碳产品设计、低碳产品促销、回收策略、低碳包装位于结构层次第三层,均为中间影响因素,通过影响直接因素间接对家具供应链碳减排产生影响。3)低碳产品宣传、低碳产品偏好、消费补贴、回收渠道建设位于家具供应链碳减排影响因素结构层次模型第四层,为深层影响因素,对家具供应链碳减排产生根本影响。【结论】家具供应链涉及众多行业,碳减排不止受到单一因素作用,需从供应链整体视角综合考虑供应链碳减排措施。建议从家具供应链碳减排影响因素深层因素入手,构建再制造闭环供应链运作模式,优化废弃家具回收渠道。同时推动家具供应链间协同减排,构建供应链降碳协调契约,引入区块链等降碳新技术,推动家具供应链绿色高效发展。

转录因子NF-κB对鲤疱疹病毒Ⅱ型基因启动子的表达调控研究

为深入探究NF-κB信号通路对CyHV-2感染过程的影响,在CyHV-2感染的GiCF细胞中加入NF-κB激动剂,通过RT-qPCR和Western Blot分析在感染24、72、96 h后CyHV-2编码基因在转录和翻译水平的表达情况。结果显示,在加入NF-κB激动剂后的72、96 h,CyHV-2编码基因转录和翻译水平均明显高于对照组,提示NF-κB促进CyHV-2编码基因的转录及翻译。为进一步阐明NF-κB如何影响CyHV-2的转录和翻译,利用生物信息学软件预测CyHV-2部分编码基因的启动子序列中和NF-κB的结合位点,采用双荧光素酶报告基因实验分析NF-κB对启动子活性的影响。结果表明,NF-κB过表达提高了病毒基因启动子活性,提示NF-κB可以通过促进CyHV-2基因的启动子活性来增强病毒复制水平。研究结果有助深入探究CyHV-2基因的表达翻译机制,也为开发基于NF-κB信号通路靶点的新的抗病毒抑制剂提供理论支撑。

Sustainable Mining in the Era of Artificial Intelligence

The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are revolutionizing mining through robotic and data-driven innovations[4]-[7].While AI offers mining industry advantages,it is crucial to acknowledge the potential risks associated with its widespread use.Over-reliance on AI may lead to a loss of human control over mining operations in the future,resulting in unpredictable consequences.

麻栎在郴州石漠化地区的栽培试验

研究了不同造林树种在石漠化地区的生长情况和不同海拔高度及土壤母质类型下麻栎的生长情况,结果表明:在郴州石漠化地区,麻栎-柏木混交林中麻栎的树高生长量(210.87~216.87 cm)及地径生长量(22.57~28.80 mm)大于柏木的树高生长量(148.60~188.60 cm)及地径生长量(20.00~22.24 mm);同样,麻栎-光皮树混交林中麻栎的树高生长量(244.83~250.47 cm)及地径生长量(30.34~34.40 mm)也大于光皮树的树高生长量(180.80~235.60 cm)及地径生长量(20.49~29.10 mm),从总体上看麻栎的生长情况表现显著优于柏木及光皮树,而后二者是郴州石漠化地区复绿造林的常用树种,这也表明麻栎适合于郴州石漠化地区的造林推广。另外,栎的树高和地径生长量受到海拔高度和土壤母质类型等立地条件的显著影响,表现为海拔高度越高生长量越小、石灰岩优于砂砾岩优于花岗岩,而对地径生长量的影响会弱于对树高生长量的影响。

Stratigraphic framework and sedimentary evolution during the Cryogenian-Ediacaran transition in northeastern Sichuan Basin,South China

The northeastern Sichuan area in the northern Yangtze margin has unique Ediacaran geological records,especially the Doushantuo Formation(DST),and become a hot research area in recent years.However,the Cryogenian-Ediacaran(C-E)boundary has not been precisely identified,which restricts the in-depth study of geological information during this crucial transitional period and is unfavorable for a systematic and complete understanding of the Yangtze Block and even the global paleogeographic pattern.This study conducted stratigraphy,sedimentology,and chronostratigraphy to establish the stratigraphic framework and sedimentary evolution of the C-E transition strata in northeastern Sichuan.The results showed that the Ediacaran sediments,without the cap dolomite,unconformably overlaid the Cryogenian sediments in the studied area.The Member II of the DST,characterized by 50-160 m of red-green sandstone(approximately equivalent to the original Chengkou“Guanyinya Formation”),directly overlaid the Cryogenian sediments and displayed a 623±2.3 Ma maximum depositional age from the detrital zircon U-Pb dating.Regional stratigraphic correlations indicate that the C-E transition strata in northeastern Sichuan had a consistent lithological association and sedimentary sequence characteristics but differed from the Three Gorges.Typically,the upper Nantuo massive glacial diamictites transition to the icebergs rafted lonestone-bearing mudstones at the top,then change upward to DST barrier coast sandstones.The proposed DST of the northeastern Sichuan Basin was divided into three lithostratigraphic members without the regional Member I cap dolomite:(i)Member II purple-red,gray-green sandstone strata,(ii)MemberⅢblack mudstone strata,and(iii)Member IV P-Mn bearing strata.During the C-E transition,the study area experienced(i)the global deglaciation stage in the terminal Marinoan glaciation and(ii)the filling-leveling up stage with clastic rocks in the early Ediacaran.Overall,the early Ediacaran of northeastern Sichuan succeeded the paleogeographic features of the late Cryogenian.

Charge-balanced codoping enables exceeding doping limit and ultralow thermal conductivity

Materials with low thermal conductivity are applied extensively in energy management,and breaking the amorphous limits of thermal conductivity to solids has attracted widespread attention from scientists.Doping is a common strategy for achieving low thermal conductivity that can offer abundant scattering centers in which heavier dopants always result in lower phonon group velocities and lower thermal conductivities.However,the amount of equivalent heavyatom single dopant available is limited.Unfortunately,nonequivalent heavy dopants have finite solubility because of charge imbalance.Here,we propose a charge balance strategy for SnS by substituting Sn2+with Ag^(+)and heavy Bi^(3+),improving the doping limit of Ag from 2%to 3%.Ag and Bi codoping increases the point defect concentration and introduces abundant boundaries simultaneously,scattering the phonons at both the atomic scale and nanoscale.The thermal conductivity of Ag0.03Bi0.03Sn0.94S decreased to 0.535 W·m^(−1)·K^(−1)at room temperature and 0.388 W·m^(−1)·K^(−1)at 275°C,which is below the amorphous limit of 0.450 W·m^(−1)·K^(−1)for SnS.This strategy offers a simple way to enhance the doping limit and achieve ultralow thermal conductivity in solids below the amorphous limit without precise structural modification.

Isogeometric Analysis of Hyperelastic Material Characteristics for Calcified Aortic Valve

This study explores the implementation of computed tomography(CT)reconstruction and simulation techniques for patient-specific valves,aiming to dissect the mechanical attributes of calcified valves within transcatheter heart valve replacement(TAVR)procedures.In order to facilitate this exploration,it derives pertinent formulas for 3D multi-material isogeometric hyperelastic analysis based on Hounsfield unit(HU)values,thereby unlocking foundational capabilities for isogeometric analysis in calcified aortic valves.A series of uniaxial and biaxial tensile tests is executed to obtain an accurate constitutive model for calcified active valves.To mitigate discretization errors,methodologies for reconstructing volumetric parametric models,integrating both geometric and material attributes,are introduced.Applying these analytical formulas,constitutive models,and precise analytical models to isogeometric analyses of calcified valves,the research ascertains their close alignment with experimental results through the close fit in displacement-stress curves,compellingly validating the accuracy and reliability of the method.This study presents a step-by-step approach to analyzing themechanical characteristics of patient-specific valves obtained fromCT images,holding significant clinical implications and assisting in the selection of treatment strategies and surgical intervention approaches in TAVR procedures.

Growth mechanism and characteristics of electron drift instability in Hall thruster with different propellant types

The existence of a significant electron drift instability(EDI) in the Hall thruster is considered as one of the possible causes of the abnormal increase in axial electron mobility near the outlet of the channel. In recent years, extensive simulation research on the characteristics of EDI has been conducted, but the excitation mechanism and growth mechanism of EDI in linear stage and nonlinear stage remain unclear. In this work, a one-dimensional PIC model in the azimuthal direction of the thruster near-exit region is established to gain further insights into the mechanism of the EDI in detail, and the effects of different types of propellants on EDI characteristics are discussed. The changes in axial electron transport caused by EDI under different types of propellants and electromagnetic field strengths are also examined. The results indicate that EDI undergoes a short linear growth phase before transitioning to the nonlinear phase and finally reaching saturation through the ion Landau damping. The EDI drives a significant ion heating in the azimuthal direction through electron–ion friction before entering the quasi-steady state, which increases the axial mobility of the electrons. Using lighter atomic weight propellant can effectively suppress the oscillation amplitude of EDI, but it will increase the linear growth rate, frequency, and phase velocity of EDI. Compared with the classical mobility, the axial electron mobility under the EDI increases by three orders of magnitude, which is consistent with experimental phenomena. The change of propellant type is insufficient to significantly change the axial electron mobility. It is also found that the collisions between electrons and neutral gasescan significantly affect the axial electron mobility under the influence of EDI, and lead the strength of the electric field to increase and the strength of the magnetic field to decrease, thereby both effectively suppressing the axial transport of electrons.

乳腺癌骨转移的蛋白质组学特性及代谢途径活化研究

目的:探究乳腺癌骨转移细胞的蛋白表达特征及调控骨转移的分子机制。方法:制备过表达萤火虫荧光素酶的人乳腺癌细胞系MCF-7-luc和骨转细胞亚系MCF-7-BOM-luc;左心室注射细胞建立乳腺癌骨转移裸鼠模型;应用小动物活性成像仪、微计算机断层扫描技术(micro-computed tomography,Micro-CT)检测骨转移及骨小梁变化;采用Transwell小室法评估细胞增殖、迁移和侵袭能力。通过蛋白质组学、蛋白质印迹(Western blot)和实时荧光定量PCR(qPCR)技术分析差异蛋白表达、上皮细胞-间充质转化(epithelial-mesenchymal transition,EMT)指标和信号通路活化情况;使用2-NBDG、ELISA法和Seahorse能量代谢仪分别检测葡萄糖摄取、L-乳酸含量和细胞能量代谢参数。结果:MCF-7-BOM-luc细胞迁移、侵袭、EMT特性以及骨骼转移能力方面优于MCF-7-luc。蛋白质组学发现MCF-7-BOM-luc中S100钙结合蛋白A4(S100 calcium-binding protein A,S100A4)表达增加,且差异蛋白主要集中在代谢途径。MCF-7-BOM-luc表现出E盒结合锌指蛋白1/2(zinc finger E-box binding homeobox 1/2,ZEB1/2)和波形蛋白(Vimentin)表达上升,E-钙黏蛋白(E-cadherin)下降,葡萄糖摄取、L-乳酸生成和糖酵解速率增强,及细胞外调节蛋白激酶1/2(extracellular signal-regulated kinases1/2,ERK1/2)和信号转导和转录激活因子3(signal transducer and activator of transcription 3,STAT3)的磷酸化水平提升。结论:MCF-7-BOM-luc通过激活ERK1/2和STAT3信号通路促进S100A4表达,从而增强EMT进程和糖酵解速率,具备骨转移恶性。通过蛋白质组学解析乳腺癌骨转移细胞的蛋白特征将为乳腺癌骨转移的诊断、预防和治疗提供潜力靶点。

Boost the Utilization of Dense FeN_(4) Sites for High-Performance Proton Exchange Membrane Fuel Cells

Iron-nitrogen-carbon(Fe-N-C)catalysts for the oxygen reduction reaction(ORR)in proton exchange membrane fuel cells(PEMFCs)have seriously been hindered by their poor ORR performance of Fe-N-C due to the low active site density(SD)and site utilization.Herein,we reported a melamine-assisted vapor deposition approach to overcome these hindrances.The melamine not only compensates for the loss of nitrogen caused by high-temperature pyrolysis but also effectively etches the carbon substrate,increasing the external surface area and mesoporous porosity of the carbon substrate.These can provide more useful area for subsequent vapor deposition on active sites.The prepared 0.20Mela-FeNC catalyst shows a fourfold higher SD value and site utilization than the FeNC without the treatment of melamine.As a result,0.20Mela-FeNC catalyst exhibits a high ORR activity with a half-wave potential(E_(1/2))of 0.861 V and 12-fold higher ORR mass activity than the FeNC in acidic media.As the cathode in a H_(2)-O_(2)PEMFCs,0.20Mela-FeNC catalyst demonstrates a high peak power density of 1.30 W cm^(-2),outstripping most of the reported Fe-N-C catalysts.The developed melamine-assisted vapor deposition approach for boosting the SD and utilization of Fe-N-C catalysts offers a new insight into high-performance ORR electrocatalysts.

Influence of acceleration stage electrode voltage on the performance of double-stage Hall effect thruster with adjustable zero magnetic point

The configuration of electrode voltage and zero magnetic point position has a significant impact on the performance of the double-stage Hall effect thruster. A 2D-3V model is established based on the two-magnetic peak type double-stage Hall thruster configuration, and a particle-in-cell simulation is carried out to investigate the influences of both acceleration electrode voltage value and zero magnetic point position on the thruster discharge characteristics and performances.The results indicate that increasing the acceleration voltage leads to a larger potential drop in the acceleration stage, allowing ions to gain higher energy, while electrons are easily absorbed by the intermediate electrode, resulting in a decrease in the anode current and ionization rate. When the acceleration voltage reaches 500 V, the thrust and efficiency are maximized, resulting in a 15%increase in efficiency. After the acceleration voltage exceeds 500 V, a potential barrier forms within the channel, leading to a decrease in thruster efficiency. Further study shows that as the second zero magnetic point moves towards the outlet of the channel, more electrons easily traverse the zero magnetic field region, participating in the ionization. The increase in the ionization rate leads to a gradual enhancement in both thrust and efficiency.

Application of Isogeometric Analysis Method in Three-Dimensional Gear Contact Analysis

Gears are pivotal in mechanical drives,and gear contact analysis is a typically difficult problem to solve.Emerging isogeometric analysis(IGA)methods have developed new ideas to solve this problem.In this paper,a threedimensional body parametric gear model of IGA is established,and a theoretical formula is derived to realize single-tooth contact analysis.Results were benchmarked against those obtained from commercial software utilizing the finite element analysis(FEA)method to validate the accuracy of our approach.Our findings indicate that the IGA-based contact algorithmsuccessfullymet theHertz contact test.When juxtaposed with the FEA approach,the IGAmethod demonstrated fewer node degrees of freedomand reduced computational units,all whilemaintaining comparable accuracy.Notably,the IGA method appeared to exhibit consistency in analysis accuracy irrespective of computational unit density,and also significantlymitigated non-physical oscillations in contact stress across the tooth width.This underscores the prowess of IGA in contact analysis.In conclusion,IGA emerges as a potent tool for addressing contact analysis challenges and holds significant promise for 3D gear modeling,simulation,and optimization of various mechanical components.

Panoptic UAV:Panoptic Segmentation of UAV Images for Marine Environment Monitoring

UAV marine monitoring plays an essential role in marine environmental protection because of its flexibility and convenience,low cost and convenient maintenance.In marine environmental monitoring,the similarity between objects such as oil spill and sea surface,Spartina alterniflora and algae is high,and the effect of the general segmentation algorithm is poor,which brings new challenges to the segmentation of UAV marine images.Panoramic segmentation can do object detection and semantic segmentation at the same time,which can well solve the polymorphism problem of objects in UAV ocean images.Currently,there are few studies on UAV marine image recognition with panoptic segmentation.In addition,there are no publicly available panoptic segmentation datasets for UAV images.In this work,we collect and annotate UAV images to form a panoptic segmentation UAV dataset named UAV-OUC-SEG and propose a panoptic segmentation method named PanopticUAV.First,to deal with the large intraclass variability in scale,deformable convolution and CBAM attention mechanism are employed in the backbone to obtain more accurate features.Second,due to the complexity and diversity of marine images,boundary masks by the Laplacian operator equation from the ground truth are merged into feature maps to improve boundary segmentation precision.Experiments demonstrate the advantages of PanopticUAV beyond the most other advanced approaches on the UAV-OUC-SEG dataset.

Effect of ion stress on properties of magnetized plasma sheath

In the plasma sheath, there is a significant gradient in ion velocity, resulting in strong stress on ions treated as a fluid. This aspect has often been neglected in previous sheath studies. This study is based on the Braginskii plasma transport theory and establishes a 1D3V sheath fluid model that takes into account the ion stress effect. Under the assumption that ions undergo both electric and diamagnetic drift in the presheath region, self-consistent boundary conditions,including the ion Bohm velocity, are derived based on the property of the Sagdeev pseudopotential.Furthermore, assuming that the electron velocity at the wall follows a truncated Maxwell distribution, the wall floating potential is calculated, leading to a more accurate sheath thickness estimation. The results show that ion stress significantly reduces the sheath thickness, enhances ion Bohm velocity, wall floating potential, and ion flux at the wall. It hinders the acceleration of ions within the sheath, leading to notable alterations in the particle density profiles within the sheath. Further research indicates that in ion stress, bulk viscous stress has the greatest impact on sheath properties.

Ultrafast dynamics of femtosecond laser-induced high spatial frequency periodic structures on silicon surfaces

Femtosecond laser-induced periodic surface structures(LIPSS)have been extensively studied over the past few decades.In particular,the period and groove width of high-spatial-frequency LIPSS(HSFL)is much smaller than the diffraction limit,making it a useful method for efficient nanomanufacturing.However,compared with the low-spatial-frequency LIPSS(LSFL),the structure size of the HSFL is smaller,and it is more easily submerged.Therefore,the formation mechanism of HSFL is complex and has always been a research hotspot in this field.In this study,regular LSFL with a period of 760 nm was fabricated in advance on a silicon surface with two-beam interference using an 800 nm,50 fs femtosecond laser.The ultrafast dynamics of HSFL formation on the silicon surface of prefabricated LSFL under single femtosecond laser pulse irradiation were observed and analyzed for the first time using collinear pump-probe imaging method.In general,the evolution of the surface structure undergoes five sequential stages:the LSFL begins to split,becomes uniform HSFL,degenerates into an irregular LSFL,undergoes secondary splitting into a weakly uniform HSFL,and evolves into an irregular LSFL or is submerged.The results indicate that the local enhancement of the submerged nanocavity,or the nanoplasma,in the prefabricated LSFL ridge led to the splitting of the LSFL,and the thermodynamic effect drove the homogenization of the splitting LSFL,which evolved into HSFL.

应急物资供应链协同平台构建研究——以湖南省为例

科学合理的应急物资供应链协同平台有助于保障应急物流高效开展,在灾害发生时确保应急物资及时准确送达,减轻灾害给人民群众带来的伤害。本文从技术层、信息层、业务层、管理层四个维度构建湖南省应急物资供应链协同平台,从战略、业务、物流、信息四个层次构建平台协同策略,最后提出湖南省应急物资供应链协同平台运行保障机制,为湖南省应急物流体系构建提供理论支持。

Path Planning for Robotic Arms Based on an Improved RRT Algorithm

The burgeoning robotics industry has catalyzed significant strides in the development and deployment of industrial and service robotic arms, positioning path planning as a pivotal facet for augmenting their operational safety and efficiency. Existing path planning algorithms, while capable of delineating feasible trajectories, often fall short of achieving optimality, particularly concerning path length, search duration, and success likelihood. This study introduces an enhanced Rapidly-Exploring Random Tree (RRT) algorithm, meticulously designed to rectify the issues of node redundancy and the compromised path quality endemic to conventional RRT approaches. Through the integration of an adaptive pruning mechanism and a dynamic elliptical search strategy within the Informed RRT* framework, our algorithm efficiently refines the search tree by discarding branches that surpass the cost of the optimal path, thereby refining the search space and significantly boosting efficiency. Extensive comparative analysis across both two-dimensional and three-dimensional simulation settings underscores the algorithm’s proficiency in markedly improving path precision and search velocity, signifying a breakthrough in the domain of robotic arm path planning.

Prolonged SARS-CoV-2 Viral Shedding in Patients with COVID-19 was Associated with Delayed Initiation of Arbidol Treatment and Consulting Doctor Later: A Retrospective Cohort Study

Objective:To study data about SARS-CoV-2 virus shedding and clarify the risk factors for prolonged virus shedding.Methods:Data were retrospectively collected from adults hospitalized with laboratory-confirmed coronavirus disease-19(COVID-19)in Wuhan Union Hospital.We compared clinical features among patients with prolonged(a positive SARS-CoV-2 RNA on day 23 after illness onset)and short virus shedding and evaluated risk factors associated with prolonged virus shedding by multivariate regression analysis.Results:Among 238 patients,the median age was 55.5 years,57.1%were female,92.9%(221/238)were administered with arbidol,58.4%(139/238)were given arbidol in combination with interferon.The median duration of SARS-CoV-2 virus shedding was 23 days(IQR,17.8-30 days)with a longest one of 51 days.The patients with prolonged virus shedding had higher value of D-dimer(P=0.002),IL-6(P<0.001),CRP(P=0.005)and more lobes lung lesion(P=0.014)on admission,as well as older age(P=0.017)and more patients with hypertension(P=0.044)than in those the virus shedding less than 23 days.Multivariate regression analysis revealed that prolonged viral shedding was significantly associated with initiation arbidol≥8 days after symptom onset[OR:2.447,95%CI(1.351-4.431)],≥3 days from onset of symptoms to first medical visitation[OR:1.880,95%CI(1.035-3.416)],illness onset before Jan.31,2020[OR:3.289,95%CI(1.474-7.337)].Arbidol in combination with interferon was also significantly associated with shorter virus shedding[OR:0.363,95%CI(0.191-0.690)].Conclusion:Duration of SARS-CoV-2 virus shedding was long.Early initiation of arbidol and arbidol in combination with interferon as well as consulting doctor timely after illness onset were helpful for SARS-CoV-2 clearance.