A 3D Geometry Model of Vocal Tract Based on Smart Internet of Things

The Internet of Things(IoT)plays an essential role in the current and future generations of information,network,and communication development and applications.This research focuses on vocal tract visualization and modeling,which are critical issues in realizing inner vocal tract animation.That is applied in many fields,such as speech training,speech therapy,speech analysis and other speech production-related applications.This work constructed a geometric model by observation of Magnetic Resonance Imaging data,providing a new method to annotate and construct 3D vocal tract organs.The proposed method has two advantages compared with previous methods.Firstly it has a uniform construction protocol for all speech organs.Secondly,this method can build correspondent feature points between different speech organs.There are less than three control parameters can be used to describe every speech organ accurately,for which the accumulated contribution rate is more than 88%.By means of the reconfiguration,the model error is less than 1.0 mm.Regarding to the data from Chinese Magnetic resonance imaging(MRI),this is the first work of 3D vocal tract model.It will promote the theoretical research and development of the intelligent Internet of Things facing speech generation-related issues.

Long-term outcomes after hepatectomy of huge hepatocellular carcinoma: A single-center experience in China

Background: Currently, hepatectomy remains the first-line therapy for hepatocellular carcinoma(HCC). However, surgery for patients with huge( > 10 cm) HCCs is controversial. This retrospective study aimed to explore long-term survival after hepatectomy for patients with huge HCC. Methods: The records of 188 patients with pathologically confirmed HCC who underwent curative hepatectomy between 2007 and 2017 were reviewed;patients were divided into three groups according to tumor size: huge( > 10 cm;n = 84), large(5–10 cm;n = 51) and small( < 5 cm;n = 53) HCC. Kaplan-Meier analysis was used to assess overall survival(OS) and disease-free survival(DFS), and log-rank analysis was performed for pairwise comparisons among the three groups. Risk factors for survival and recurrence were analyzed using the Cox proportional hazard model. Results: The median follow-up period was 20 months. Although the prognosis of small HCC was better than that of huge and large HCC, OS and DFS were not significantly different between huge and large HCC( P = 0.099 and P = 0.831, respectively). A family history of HCC, poor Child-Pugh class, vascular invasion, diolame, pathologically positive margins, and operative time ≥240 min were identified as independent risk factors for OS and DFS in a multivariate model. Tumor size( > 10 cm) had significant effect on OS, and postoperative antiviral therapy and postoperative complications also had significant effects on DFS. Conclusions: Huge HCC is not a contraindication of hepatectomy. Although most of these patients experienced recurrence after surgery, OS and DFS were not significantly different from those of patients with large HCC after resection.

Multiple linear equation of pore structure and coal–oxygen diffusion on low temperature oxidation process of lignite

This work aimed at studying the feasibility of calculating the coal–oxygen diffusion properties during the low temperature oxidation process of lignite so as to predict its spontaneous combustion process. Coal samples were oxidized in air ambient under different temperatures. Scanning Electron Microscope was used to indicate the surface morphology changes of oxidization. Then, based on fractal theory and flow characteristics, the fractal dimension of gas diffusion in the pore ways was calculated under different temperature. Considering pore size distribution, connectivity distribution and Fick diffusion mechanisms, the relationship between the gas diffusivity change with pore area fractal dimension and porosity was investigated, and multiple linear equation of the coal–oxygen diffusion coefficients and pore parameters was obtained. Comparison between the experimental data and model prediction verifies the validity of the model. The research provides a theoretical basis for the prediction model of coal–oxygen diffusion law.

Passive leg raising as an indicator of fluid responsiveness in patients with severe sepsis

BACKGROUND:In the management of critically ill patients,the assessment of volume responsiveness and the decision to administer a fluid bolus constitute a common dilemma for physicians.Static indices of cardiac preload are poor predictors of volume responsiveness.Passive leg raising(PLR) mimics an endogenous volume expansion(VE) that can be used to predict fluid responsiveness.This study was to assess the changes in stroke volume index(SVI) induced by PLR as an indicator of fluid responsiveness in mechanically ventilated patients with severe sepsis.METHODS:This was a prospective study.Thirty-two mechanically ventilated patients with severe sepsis were admitted for VE in ICU of the First Affiliated Hospital,Zhejiang University School of Medicine and Ningbo Medical Treatment Center Lihuili Hospital from May 2010 to December 2011.Patients with non-sinus rhythm or arrhythmia,parturients,and amputation of the lower limbs were excluded.Measurements of SVI were obtained in a semi-recumbent position(baseline) and during PLR by the technique of pulse indicator continuous cardiac output(PiCCO) system prior to VE.Measurements were repeated after VE(500 mL 6%hydroxyethyl starch infusion within 30 minutes)to classify patients as either volume responders or non-responders based on their changes in stroke volume index(ASVI) over 15%.Heart rate(HR),systolic artery blood pressure(ABPs),diastolic artery blood pressure(ABPd),mean arterial blood pressure(ABPm),mean central venous pressure(CVPm)and cardiac index(CI) were compared between the two groups.The changes of ABPs,ABPm,CVPm,and SVI after PLR and VE were compared with the indices at the baseline.The ROC curve was drawn to evaluate the value of ASVI and the change of CVPm(ACVPm) in predicting volume responsiveness.SPSS 17.0 software was used for statistical analysis.RESULTS:Among the 32 patients,22 were responders and 10 were non-responders.After PLR among the responders,some hemodynamic variables(including ABPs,ABPd,ABPm and CVPm)were significantly elevated(101.2±17.6 vs.118.6±23.7,P=0.03;52.8±10.7 vs.64.8±10.7,P=0.006;68.3+11.7 vs.81.9±14.4,P=0.008;6.8±3.2 vs.11.9±4.0,P=0.001).After PLR,the area under curve(AUC) and the ROC curve of △SV1 and ACVPm for predicting the responsiveness after VE were0.882±0.061(95%CI 0.759-1.000) and 0.805±0.079(95%CI 0.650-0.959) when the cut-off levels of ASVI and ACVPm were 8.8%and 12.7%,the sensitivities were 72.7%and 72.7%,and the specificities were 80%and 80%.CONCLUSION:Changes in ASVI and ACVPm induced by PLR are accurate indices for predicting fluid responsiveness in mechanically ventilated patients with severe sepsis.

Oral acyclovir induced acute renal failure

BACKGROUND： The study aimed to investigate the clinical characteristics of acute renal failure（ARF） caused by oral acyclovir.METHODS： A 45-year-old Chinese male patient with acyclovir-induced ARF suffered fromabdominal pain for one day. The pain was extended to the epigastric area from the right lowerquadrant. Transient oliguria was seen in addition to microscopic hematuria and proteinuria. Theserum creatinine concentration was 304 !mol/L. Eight days before the occurrence of ARF, the patienttook oral acyclovir for facial neuritis.RESULTS： His renal function was restored completely following the discontinuation of acyclovir,with continuous renal replacement therapy for 54 hours and some symptomatic treatment.CONCLUSION： The presentation of acute renal failure caused by acyclovir can be diverse, butthe prognosis is good after active treatment.

Target-driven visual navigation in indoor scenes using reinforcement learning and imitation learning

Here,the challenges of sample efficiency and navigation performance in deep rein-forcement learning for visual navigation are focused and a deep imitation reinforcement learning approach is proposed.Our contributions are mainly three folds:first,a frame-work combining imitation learning with deep reinforcement learning is presented,which enables a robot to learn a stable navigation policy faster in the target-driven navigation task.Second,the surrounding images is taken as the observation instead of sequential images,which can improve the navigation performance for more information.Moreover,a simple yet efficient template matching method is adopted to determine the stop action,making the system more practical.Simulation experiments in the AI-THOR environment show that the proposed approach outperforms previous end-to-end deep reinforcement learning approaches,which demonstrate the effectiveness and efficiency of our approach.

Deep imitation reinforcement learning for self-driving by vision

Deep reinforcement learning has achieved some remarkable results in self-driving.There is quite a lot of work to do in the area of autonomous driving with high real-time requirements because of the inefficiency of reinforcement learning in exploring large continuous motion spaces.A deep imitation reinforcement learning(DIRL)framework is presented to leam control policies of self-driving vehicles,which is based on a deep deterministic policy gradient algorithm(DDPG)by vision.The DIRL framework comprises two components,the perception module and the conttol module,using imitation learning(IL)and DDPG,respectively;The perception module employs the IL network as an encoder which processes an image into a low-dimensional feature vector.This vector is then delivered to the control module which outputs control commands.Meanwhile,the actor network of the DDPG is initialized with the trained IL network to improve exploration efficiency.In addition,a reward function for reinforcement learning is defined to improve the stability of self-driving vehicles,especially on curves.DIRL is verified by the open racing car simulator(TORCS),and the results show that the correct control strategy is learned successfully and has less training time.

Cloning identification and functional analysis of human IL-17A promoter

Objective: To conduct the cloning identification and characterization of the sequence of human IL-17 A promoter so as to analyze the regulatory mechanism of the gene expression of IL-17. Methods: First of all, the potential promoter region of IL-17 A was found by means of the bioinformatics methods. Then, it was cloned into the reporter vector with PCR technique. Finally, the activity of the test promoter was determined by dual luciferase reporter system. Results: Two transcriptional start points of the upper region, 600 bp and 1000 bp, of IL-17 A were obtained by PCR clone and proved to have certain activities by dual luciferase reporter system. Also, they could be activated by IL-17 A activator STAT3, which could start the expression of the reported gene. Conclusions: Clone established the regulatory region of human IL-17 A promoter, which provided bases to the subsequent function research.

Anion-cation dual doping: An effective electronic modulation strategy of Ni2P for high-performance oxygen evolution

Developing of high-performance and low-cost electrocatalysts is of great significance to reduce the overpotential and accelerated the reaction rate of oxygen evolution in water splitting and related energy conversion applications.Herein,Fe,O-dual doped Ni2P(Fe,O-Ni2P)nanoarray is successfully synthesized on carbon cloth demonstrating enhanced electrocatalytic activity and stability for oxygen evolution reaction(OER)under alkaline media.The as-synthesized Fe,O-Ni2P nanoarray exhibits obviously improved OER performance with a low overpotential of 210 mV at 10 mA cm^-2 current density and a Tafel slope of48 mV dec^-1,as well as long-term durability.The strong coupling interaction induced changes in electronic structure lead to relatively higher oxidation state and stronger oxidation ability of the Fe,O-Ni2P nanoarray,together with the high electrochemical surface area and good conductivity contribute to the superior OER performance.This work highlights the anion-cation dual doping strategy may be an effective method for fabrication of catalysts relating to energy conversion applications.

张力性管状胃剪裁技术——管状胃制作改进及优化

目的:管状胃的制作方法在食管切除术中具有重要意义,探讨一种新的改良技术方法,张力性管状胃剪裁技术(tension gastroplasty approach,TGA)的安全性和可行性。方法:回顾性分析2021年7月四川省肿瘤医院胸外科可手术切除食管癌患者资料,展现张力性管状胃剪裁技术及要点。同时,对管状胃非张力性和张力性剪裁的切缘钉合完整性、黏膜面钉合程度以及有无金属钉外露等方面进行技术优势评价。结果:手术过程顺利,通过临床实践发现,TGA技术实现了切缘钉合完整、黏膜面钉合完全且无金属钉外露的更佳效果。结论:TGA技术能够使胃黏膜面的钉合更为完整,从而实现管状胃浆膜面和黏膜面更好的"双面"成型效果。其有潜力为食管癌患者管状胃制作和手术相关治疗提供更安全、可靠的技术,同时也为进一步改进和优化TGA临床研究打下技术基础。

Recent Advance in Low-Dielectric-Constant Organosilicon Polymers

Comprehensive Summary,Low dielectric(low-k)organosilicon polymers have received extensive interests from industry and academia due to good electrical insulation,high temperature resistance,flame retardancy and hydrophobicity.These attractive properties enable them to be utilized as low-k materials in fabrication of electronic devices in high-frequency communication technology.This review summarizes recent progress in developing low-k organosilicon polymers,including the synthetic methods and properties of different organosilicon polymers classified according to the chemical structures.It may provide some inspiration to design new low-k organosilicon polymers for application in the.

A comprehensive construction of the domain ontology for stratigraphy

Stratigraphic knowledge,the cornerstone of geoscience,needs to be represented by the Knowledge Graph based upon ontology,in order to apply the state-of-the-art big-data techniques.This study aims to comprehensively construct the ontologies for the stratigraphic domain.This has been achieved by a federated,crowd intelligence-based collaboration among domain experts of major stratigraphic subdisciplines.The initial step is to enumerate key terms from authoritative references and incorporate them into the Geoscience Professional Knowledge Graphs(GPKGs)of Deep-time Digital Earth Project.During this process,semantic heterogeneities were meticulously addressed by professional judgement aided by an automatic detection of Homonyms at the GPKGs platform.Afterwards,these terms were further differentiated as either classes or properties and arranged in a hierarchical framework in a top-down process.Consequently,seven ontologies are constructed for major stratigraphic branches,i.e.,Lithostratigraphy,Biostratigraphy,Chronostratigraphy,Chemostratigraphy,Magnetostratigraphy,Cyclostratigraphy and Sequence Stratigraphy.The ontology of Biostratigraphy,among them,is elaborated here,as no biostratigraphic ontology has been attempted before to our knowledge.The constructed biostratigraphic ontology comprises following major root classes:Fossil,Biostratigraphic unit,Biostratigraphic horizon.Altogether,they contribute to the eventual dating and correlating of strata in another root class:Biostratigraphic correlation.In summary,the achievements of this study are probably heretofore the most comprehensive ontologies for the stratigraphic domain.Moreover,a proto model of semantic search engine was conceived to discuss potential application of our work for better querying stratigraphic references,utilizing the semantic liaison of the classes in the constructed ontologies.

亚高山草甸植物种间花粉传播网络相对于植物-传粉者互作网络年际间更为稳定

现有研究表明植物-传粉者互作网络结构有较高的年际动态变化。由于传粉者经常在多种植物之间访问,植物-植物的种间花粉传播也可能有较高的动态变化,这对花部特征演化和群落构建有重要的意义。我们连续3年调查了中国西南部一个亚高山草甸群落的植物-传粉者互作网络和植物-植物种间花粉传播网络的年际动态结构。我们发现两种网络的连接都有较高的年际动态,但是植物落置异种花粉构成的年际变化,低于传粉者访问构成的变化,这说明同一对花粉供体和受体植物之间,在年际间可能由不同的共享传粉者传播异种花粉。植物在种间花粉传播网络中的位置,相对植物-传粉者网络中更为稳定。泛化传粉的植物能够输出更多的异种花粉,在种间花粉传播网络中也更重要。我们评估了植物-传粉者互作网络和种间花粉传播网络的年际动态结构,是整合植物-传粉者与植物-植物互作过程的重要一步。

Deep reinforcement learning using least-squares truncated temporal-difference

Policy evaluation(PE)is a critical sub-problem in reinforcement learning,which estimates the value function for a given policy and can be used for policy improvement.However,there still exist some limitations in current PE methods,such as low sample efficiency and local convergence,especially on complex tasks.In this study,a novel PE algorithm called Least-Squares Truncated Temporal-Difference learning(LST2D)is proposed.In LST2D,an adaptive truncation mechanism is designed,which effectively takes advantage of the fast convergence property of Least-Squares Temporal Difference learning and the asymptotic convergence property of Temporal Difference learning(TD).Then,two feature pre-training methods are utilised to improve the approximation ability of LST2D.Furthermore,an Actor-Critic algorithm based on LST2D and pre-trained feature representations(ACLPF)is proposed,where LST2D is integrated into the critic network to improve learning-prediction efficiency.Comprehensive simulation studies were conducted on four robotic tasks,and the corresponding results illustrate the effectiveness of LST2D.The proposed ACLPF algorithm outperformed DQN,ACER and PPO in terms of sample efficiency and stability,which demonstrated that LST2D can be applied to online learning control problems by incorporating it into the actor-critic architecture.

相变气凝胶的设计合成及其微环境调控性能研究

人体微环境调控可以通过材料本身性能的调控实现穿着凉爽舒适,对提高生活品质、减少碳排放具有重要价值.然而传统材料仅能单向地实现致冷或保温,同一材料实现致冷、保温双向功能,依然是本领域重要挑战和值得及时探索的方向.本文采用冷冻-解冻制备水凝胶与冷冻干燥技术,设计合成系列以聚乙烯醇和相变微胶囊为骨架的相变气凝胶.此类相变气凝胶同时具有优异的压缩和拉伸性能,能够压缩55%以上或拉伸达25%,突破了气凝胶不可拉伸、相变材料硬脆不可拉伸的特征.比表面积最高达14.4 m2/g,密度和热导率分别低至0.11 g/cm3和0.040 W/(m·K),相变焓可进行调控,最高达到46.1 J/g.进一步的实验证明,相变气凝胶较于热导率更佳的聚乙烯醇气凝胶具有更加优异的温度调控能力,温度维持能力最高可达纯气凝胶的2.6倍.因此相变气凝胶同时具有优异的绝热和调温性能,在微环境调控领域具有重要应用价值.

The near-infrared dye IR-61 restores erectile function in a streptozotocin-induced diabetes model via mitochondrial protection

This study aimed to evaluate the therapeutic effect of IR-61,a novel mitochondrial heptamethine cyanine dye with antioxidant effects,on diabetes mellitus-induced erectile dysfunction(DMED).Eight-week-old male Sprague-Dawley rats were intraperitoneally injected with streptozotocin(STZ)to induce type 1 diabetes.Eight weeks after STZ injection,all rats were divided into three groups:the control group,DM group,and DM+IR-61 group.In the DM+IR-61 group,the rats were administered IR-61(1.6 mg kg-1)twice a week by intravenous injection.At week 13,erectile function was evaluated by determining the ratio of the maximal intracavernous pressure to mean arterial pressure,and the penises were then harvested for fluorescent imaging,transmission electron microscopy,histological examinations,and Western blot analysis.Whole-body imaging suggested that IR-61 was highly accumulated in the penis after intravenous injection.IR-61 treatment significantly improved the maximal ICP of diabetic rats.Additionally,IR-61 ameliorated diabetes-induced inflammation,apoptosis,and phenotypic transition of corpus cavernosum smooth muscle cells(CCSMCs)in penile tissue.IR-61 also attenuated mitochondrial damage,reduced reactive oxygen species production in the corpus cavernosum and upregulated sirtuinl(SIRT1),sirtuin3(SIRT3),nuclear factor(erythroid-derived 2)-like 2(Nrf2),and heme oxygenase expression in penile tissue.In conclusion,IR-61 represents a potential therapeutic option for DMED by protecting the mitochondria of CCSMCs,which may be mediated by activation of the SIRT1,SIRT3,and Nrf2 pathways.

中国杭州市重症监护室34例COVID-19患者临床特点的分析

目的:本研究拟总结2020年1月22日至3月5日在中国杭州浙江大学医学院附属第一医院重症监护病房(ICU)收治的34例2019冠状病毒病(COVID-19)患者的临床和实验室特征。创新点:本研究比较了COVID-19患者有创机械通气组(IMV)与无创氧疗组(NIV)的临床和化验室特征,并探讨了两组患者间化验室指标的动态变化的差异。方法:纳入研究期间入住我院ICU的新冠肺炎重症患者,收集所有患者临床资料和化验室资料。根据是否接受有创机械通气将患者分为IMV组和NIV组。比较两组的临床特征参数,并动态观察两组化验室指标的变化。结论:NIV组患者急性肝、心、肾并发症发生率较高。两组患者在入院时均出现淋巴细胞减少,但随着病情进展IMV组出现更严重的淋巴细胞减少症。与B淋巴细胞相比,两组T淋巴细胞计数均更明显低于正常值下限。入院时,两组患者的血浆白介素-6(IL-6)水平均高于正常值上限。随着时间的推移,NIV组患者的IL-6水平下降更多。住院期间IMV组患者的血小板、血红蛋白、血尿素氮、凝血酶原时间、D-二聚体、乳酸脱氢酶和IL-6水平均高于NIV患者。

Whole-Chip ESD Protection Design for RF and AMS ICs

As integrated circuits （IC） technologies advance into very-deep-sub-micron （VDSM）, electrostatic discharge （ESD） failure becomes one of the most devastating IC reliability problems and on-chip ESD protection design emerges as a major challenge to radio frequency （RF）, analog, and mixed-signal （AMS） IC designs. This paper reviews key design aspects and recent advances in whole-chip ESD protection designs for RF/AMS IC applications in CMOS technologies.

Plant-pollinator interactions in a biodiverse meadow are rather stable and tight for 3 consecutive years

Plant-pollinator interactions can be highly variable across years in natural communities.Although variation in the species composition and its basic structure has been investigated to understand the dynamic nature of polli­nation networks,little is known about the temporal dynamic of interaction strength between the same plant and pollinator species in any natural community.Pollinator-mediated selection on the evolution of floral traits could be diminished if plant-pollinator interactions vary temporally.To quantify the temporal variation in plant-pol­linator interactions and the interaction strength(observed visits),we compared weighted networks between plants and pollinators in a biodiverse alpine meadow in Shangri-La,southwest China for 3 consecutive years.Although plant-pollinator interactions were highly dynamic such that identical interactions only accounted for 10.7%of the total between pair years,the diversity of interactions was stable.These identical interactions con­tributed 41.2%of total visits and were similar in strength and weighted nestedness.For plant species,72.6%of species were visited by identical pollinator species between pair years,accounting for over half of the total vis­its and three-quarters at the functional group level.More generalized pollinators contributed more connective­ness and were more central in networks across years.However,there was no similar or even opposite trend for plant species,which suggested that specialized plant species may also be central in pollinator networks.The variation in pollinator composition decreased as pollinator species numbers increased,suggesting that general­ized plants experienced stable pollinator partition.The stable,tight interactions between generalized pollinators and specialized plants represent cornerstones of the studied community.

Translation:Management of Coronavirus Disease 2019(COVID-19):Experience in Zhejiang Province,China

The current epidemic situation of coronavirus disease 2019(COVID-19)still remains severe.As the National Clinical Research Center for Infectious Diseases,The First Affiliated Hospital of the Zhejiang University School of Medicine is the primary medical care center for COVID-19 in Zhejiang Province.Based on the present expert consensus carried out by the National Health Commission and National Administration of Traditional Chinese Medicine,our team summarized and established an effective treatment strategy centered on“Four-Anti and Two-Balance”for clinical practice.The“Four-Anti and Two-Balance”strategy includes antivirus,anti-shock,antihypoxemia,and anti-secondary infection,and maintaining of water,electrolyte and acid/base balance and microecological balance.Simultaneously,an integrated multidisciplinary personalized treatment is recommended to improve therapeutic effects.The importance of early viral detection,dynamic monitoring of inflammatory indexes,and chest radiographs has been emphasized in clinical decision-making.Sputum was observed with the highest positive rate by reverse transcription-polymerase chain reaction(RTPRC).Viral nucleic acids could be detected in 10%of the patients’blood samples at the acute phase and 50%of patients had positive RT-PCR results in their feces.We also isolated live viral strains from feces,indicating potential infectiousness of feces.Dynamic cytokine detection was necessary to timely identify cytokine storms and for the application of the artificial liver blood purification system.The“Four-Anti and Two-Balance”strategy effectively increased cure rates and reduced mortality.Early antiviral treatment alleviated disease severity and prevented illness progression.We found that lopinavir/ritonavir combined with abidol showed antiviral effects against COVID-19.Shock and hypoxemia were usually caused by cytokine storms.The artificial liver blood purification system was able to rapidly remove inflammatory mediators and block the cytokine storm.Moreover,it also contributed to the balance of fluids,electrolytes,and acids/bases and thus improved treatment efficacy during critical illness.For cases of severe illness,early and also short periods of moderate glucocorticoid administration was supported.Patients with an oxygenation index below 200mmHg were transferred to the intensive care unit.Conservative oxygen therapy was preferred and noninvasive ventilation(NIV)was not recommended.Patients with mechanical ventilation were strictly supervised with cluster ventilator-associated pneumonia prevention strategies.Antimicrobial prophylaxis was prescribed rationally and was not recommended,except for patients with a long course of disease,repeated fever,and elevated procalcitonin,similarly secondary fungal infections were of concern.Some patients with COVID-19 showed intestinal microbial dysbiosis with decreased genus such as Lactobacillus and Bifidobacterium.Nutritional and gastrointestinal function should;therefore,be assessed for all patients.Nutritional support and application of prebiotics or probiotics were suggested to regulate the balance of intestinal microbiota and reduce the risk of secondary infections due to bacterial translocation.Anxiety and fear were common in patients with COVID-19.Therefore,we established a dynamic assessment and warning for psychological crises.We also integrated Chinese medicine in the treatment to promote rehabilitation.We optimized nursing processes for severe patients to promote their rehabilitation.Since viral clearance patterns after severe acute respiratory syndrome coronavirus 2 infections remained unclear,2 weeks quarantine for discharged patients was required,and a regular following-up was also needed.These Zhejiang experiences and suggestions have been implemented in our center and achieved good results.However,since COVID-19 was a newly emerging disease,more work is warranted to further improve strategies of prevention,diagnosis,and treatment for COVID-19.