检索结果-南通市图书馆

A biosensing system employing nanowell microelectrode arrays to record the intracellular potential of a single cardiomyocyte

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Microsystems & Nanoengineering 2022年第3期8卷 185-198页

作者： Yuting Xiang Haitao Liu Wenjian Yang Zhongyuan xu Yue Wu Zhajian Tang Zhjing Zhu Zhiyong Zeng Depeng Wang Tianxing Wang Ning Hu Diming Zhang Department of Obstetrics and Gynecology Affiliated Dongguan People's HospitalSouthern Medical UniversityDongguan 523058China Research Center for Inelligent Sensing Systems Zhejiang LaboratoryHangzhou 311100China Research Center for Humanoid Sensing Zhejiang LaboratoryHangzhou 311100China Key Laboratory of Novel Target and Drug Study for Neural Repair of Zhejiang Province School of MedicineSchool of Computer&Computing ScienceZhejiang University City CollegeHangzhou 310015China School of Brain Science and Brain Medicine Zhejiang UniversityHangzhou 310058China School of Automation Nanjing University of Science and TechnologyNanjing 210094China College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China E-Link Care Meditech Co. LtdHangzhou 310011China ZJU-Hangzhou Global Scientific and Technological Innovation Center Department of ChemitryZhejiang UniversityHangzhou 310058China

Electrophysiological recording is a widely used method to investigate cardiovascular pathology,pharmacology and developmental biology.Microelectrode arrays record the electrical potential of cells in a minimally invasive and highthroughput way.However,commonly used microelectrode arays primarily employ planar microelectrodes and cannot work in applications that require a recording of the intracellular action potential of a single cell.In this study,we proposed a novel measuring method that is able to record the intracellular action potential of a single cardiomyocyte by using a nanowell patterned microelectrode array(NWMEA).The NWMEA consists of five nanoscale wells at the center of each circular planar microelectrode.Biphasic pulse electroporation was applied to the NWMEA to penetrate the cardiomyocyte membrane,and the intracellular action potential was continuously recorded.The intracellular potential recording of cardiomyocytes by the NWMEA measured a potential signal with a higher quality(213.76±25.85%),reduced noise root-mean-square(~33%),and higher signal-to-noise ratio(254.36±12.61%)when compared to those of the extracellular recording.Compared to previously reported nanopillar microelectrodes,the NWMEA could ensure single cell electroporation and acquire high-quality action potential of cardiomyocytes with reduced fabrication processes.This NWMEA-based biosensing system is a promising tool to record the intracellular action potential of a single cell to broaden the usage of microelectrode arrays in electrophysiological investigation.

关键词： arrays potential record

3D-assembled microneedle ion sensor-based wearable system for the transdermal monitoring of physiological ion fluctuations

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Microsystems & Nanoengineering 2023年第2期9卷 127-142页

作者： Xinshuo Huang Shantao Zheng Baoming Liang Mengyi He Feifei Wu Jingbo Yang Hui-jiuan Chen Xi Xie State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologyGuangdong Province Key Laboratory of Display Material and TechnologySun Yat-Sen UniversityGuangzhouChina Pazhou Lab 510330 GuangzhouChina School of Biomedical Engineering Sun Yat-Sen UniversityGuangzhouChina

Monitoring human health is of considerable significance in biomedicine.In particular,the ion concentrations in blood are important reference indicators related to many diseases.Microneedle array-based sensors have enabled promising breakthroughs in continuous health monitoring due to their minimally invasive nature.In this study,we developed a microneedle sensing-array integrated system to continuously detect subcutaneous ions to monitor human health status in real time based on a fabrication strategy for assembling planar microneedle sheets to form 3D microneedle arrays.The limitations of preparing 3D microneedle structures with multiple electrode channels were addressed by assembling planar microneedle sheets fabricated via laser micromachining;the challenges of modifying closely spaced microneedle tips into different functionalized types of electrodes were avoided.The microneedle sensing system was sufficiently sensitive for detecting real-time changes in Ca^(2+),K^(+),and Na^(+) concentrations,and it exhibited good detection performance.The in vivo results showed that the ion-sensing microneedle array successfully monitored the fluctuations in Ca^(2+),k^(+),and Na^(+) in the interstitial fluids of rats in real time.By using an integrated circuit design,we constructed the proposed microneedle sensor into a wearable integrated monitoring system.The integrated system could potentially provide information feedback for diseases related to physiological ion changes.

关键词： needle system breakthrough

Energy-efficient receding horizon trajectory planning of high-speed trains using real-time traffic information

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Control Theory and Technology 2020年第2期18卷 204-216页

作者： Defeng HE Long ZHOU Zhe SUN College of Information Engineering Zhejiang University of TechnologyHangzhou Zhejiang 310023China

Optimal trajectory planning of high-speed trains(HSTs)aims to obtain such speed curves that guarantee safety,punctuality,comfort and energy-saving of the train.In this paper,a new shrinking horizon model predictive control(MPC)algorithm is proposed to plan the optimal trajectories of HSTs using real-time traffic information.The nonlinear longitudinal dynamics of HSTs are used to predict the future behaviors of the train and describe variable slopes and variable speed limitations based on real-time traffic information.Then optimal trajectory planning of HSTs is formulated as the shrinking horizon optimal control problem with the consideration of safety,punctuality,comfort and energy consumption.According to the real-time position and running time of the train,the shrinking horizon is updated to ensure the recursive feasibility of the optimization problem.The optimal speed curve of the train is computed by online solving the optimization problem with the Radau Pseudo-spectral method(RPM).Simulation results demonstrate that the proposed method can satisfy the requirements of energy efficiency and punctuality of the train.

关键词： High-speed trains model predictive control optimal trajectory planning Radau Pseudo-spectral method

An unusual cause of cyanosis after intra-extra cardiac Fontan procedure: anastomotic leakage between conduit and inferior vena cava

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Pediatric Surgery 2023年第4期6卷 282-284页

作者： Jiajun Xu Weize Xu Jin Yu Shanshan Shi Qiang Shu Zhuo Shi Department of Cardiac Intensive Care Unit(CICU) Children’s HospitalZhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhouZhejiangChina Department of Cardiac Surgery Children’s HospitalZhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhouZhejiangChina Department of Ultrasound Diagnosis Children’s HospitalZhejiang University School of MedicineNational Clinical Research Center for Child HealthHangzhouZhejiangChina

A child aged 7 years was admitted to our hospital nearly 5 years after an intra-extra cardiac Fontan operation due to aggravated cyanosis.He was diagnosed with pulmonary atresia(PA),atrial septal defect,patent ductus arteriosus(PDA)and thickened tricuspid valve with severe regurgitation 1 month after being born,which was considered PA with intact ventricular septum(IVS)with severely hypoplastic right ventricle and was similar to functional single ventricle.

关键词： admitted cardiac septal

Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2020年第4期63卷 537-551页

作者： Xiangao Jiang Megan Coffee Anasse Bari Junzhang Wang Xinyue Jiang Jianping Huang Jichan Shi Jianyi Dai Jing Cai Tianxiao Zhang Zhengxing Wu Guiqing He Yitong Huang Department of Infectious Diseases Wenzhou Central HospitalWenzhou325000China Division of Infectious Diseases and Immunology Department of MedicineNew York UniversityNew YorkUSA Department of Population and Family Health Mailman School of Public HealthColumbia UniversityNew YorkUSA Courant Institute of Mathematical Sciences Computer Science DepartmentNew York UniversityNew YorkUSA Columbia College Columbia UniversityNew YorkUSA Departments of Infectious Diseases Cangnan People’s HospitalWenzhou325800China Department of Gynaecology Wenzhou Central HospitalWenzhou325000China

The virus SARS-CoV2,which causes the Coronavirus disease COVID-19 has become a pandemic and has spread to every inhabited continent.Given the increasing caseload,there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness.We present a first step towards building an artificial intelligence(AI)framework,with predictive analytics(PA)capabilities applied to real patient data,to provide rapid clinical decision-making support.COVID-19 has presented a pressing need as a)clinicians are still developing clinical acumen given the disease’s novelty,and b)resource limitations in a rapidly expanding pandemic require difficult decisions relating to resource allocation.The objectives of this research are:(1)to algorithmically identify the combinations of clinical characteristics of COVID-19 that predict outcomes,and(2)to develop a tool with AI capabilities that will predict patients at risk for more severe illness on initial presentation.The predictive models learn from historical data to help predict specifically who will develop acute respiratory distress syndrome(ARDS),a severe outcome in COVID-19.Our experimental results based on two hospitals in Wenzhou,zhejang,China identify features most predictive of ARDS in COVID-19 initial presentation which would not have stood out to clinicians.A mild increase in elevated alanine aminotransferase(ALT)(a liver enzyme)),a presence of myalgias(body aches),and an increase in hemoglobin,in this order,are the clinical features,on presentation,that are the most predictive.Those two centers’COVID-19 case series symptoms on initial presentation can help predict severe outcomes.Predictive models that learned from historical data of patients from two Chinese hospitals achieved 70%to 80%accuracy in predicting severe cases.

关键词： SARS-CoV2 COVID-19 coronavirus infectious diseases artificial intelligence predictive analytics

Wavelet-based classification and influence matrix analysis method for the fast discrimination of Chinese herbal medicines according to the geographical origins with near infrared spectroscopy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Innovative Optical Health Sciences 2014年第4期7卷 21-31页

作者： Wenlong Li Haibin Qu Pharmaceutical Informatics Institute Zhejiang university No.866 Yuhangtang Road Hangzhou310058P.R.China

A discriminant analysis technique using wavelet transformation(WT)and influence matrixanalysis(CAIMAN)method is proposed for the near infrared(NIR)spectroscopy classifi-cation.In the proposed methodology,NIR spectra are decomposed by WT for data com-pression and a forward feature selection is further employed to extract the relevant informationfrom the wavelet coefficients,reducing both classification errors and model complexity.Adiscriminant-CAIMAN(D-CAIMAN)method is utilized to build the classification model inwavelet domain on the basis of reduced wavelet coefficients of spectral variables.NIR spectradata set of 265 salviae miltiorrhizae radia samples from 9 different geographical origins is usedas an example to test the classification performance of the algorithm.For a comparison,k-nearest neighbor(KNN),linear discriminant analysis(LDA)and quadratic discriminant analysis(QDA)methods are also employed.D-CAIMAN with wavelet-based feature selection(WD-CAIMAN)method shows the best performance,achieving the total classification rate of ioo%in both cross-validation set and prediction set.It is worth noting that the WD-CAIMANclassifier also shows improved sensitivity,selectivity and model interpretability in thecla.ssifications.

关键词： Discriminant analysis near infrared spectroscopy Chinese herbal medicines variable selection wavelet analysis

THE UNEVEN DEVELOPMENT AND SPATIAL DIFFUSION OF CHINESE CENTRAL CITIES

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Geographical Science 1994年第2期4卷 119-128页

作者：宁越敏严重敏 The Institute of Geography of West Europe and North America East China Normal University Shanghai PRC

ＴＨＥＵＮＥＶＥＮＤＥＶＥＬＯＰＭＥＮＴＡＮＤＳＰＡＴＩＡＬＤＩＦＦＵＳＩＯＮＯＦＣＨＩＮＥＳＥＣＥＮＴＲＡＬＣＩＴＩＥＳＮｉｎｇＹｕｅＡｎｎ（宁越敏）；ＹａｎＺｈｏｎｇｍｉｎ（严重敏）（ＴｈｅＩ... 详细信息

ＴＨＥＵＮＥＶＥＮＤＥＶＥＬＯＰＭＥＮＴＡＮＤＳＰＡＴＩＡＬＤＩＦＦＵＳＩＯＮＯＦＣＨＩＮＥＳＥＣＥＮＴＲＡＬＣＩＴＩＥＳＮｉｎｇＹｕｅＡｎｎ（宁越敏）；ＹａｎＺｈｏｎｇｍｉｎ（严重敏）（ＴｈｅＩｎｓｔｉｔｕｔｅｏｆＧｅｏｇｒａｐ...

关键词： central cities centrality index uneven development spatial diffusion

Shipborne oceanic high-spectral-resolution lidar for accurate estimation of seawater depth-resolved optical properties

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Light(Science & Applications) 2022年第10期11卷 2345-2357页

作者： Yudi Zhou Yang Chen Hongkai Zhao Cedric Jamet Davide Dionisi Malik Chami Paolo Di Grolamo James H.Churnside Aleksey Malinka Huade Zhao Dajun Qiu Tingwei Cui Qun Liu Yatong Chen Sornsiri Phongphattarawat Nanchao Wang Sijie Chen Peng Chen Ziwei Yao Chengfeng Le Yuting Tao Peituo Xu Xiaobin Wang Binyu Wang Feitong Chen Chuang Ye Kai Zhang Chong Liu Dong Liu Ningbo Research Institute State Key Laboratory of Modern Optical InstrumentationCollege of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China Intelligent Optics&Photonics Research Center Jiaxing Key Laboratory of Photonic Sensing&Intelligent ImagingJiaxing Research InstituteZhejiang UniversityJiaxing 314000China Univ.Littoral C?te d'Opale CNRSUniv.LilleIRDUMR 8187-LOG-Laboratoire d'Océanologie et de GéosciencesF-62930 WimereuxFrance Institute of Marine Sciences(ISMAR) Italian National Research Council(CNR)Rome-Tor Vergata 00133Italy Sorbonne Université CNRSLATMOS96 Boulevard de l'Observatoire06304 Nice CedexFrance Scuola di Ingegneria Universitàdella BasilicataViale Ateneo Lucano 101-85100 PotenzaItaly Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder and NOAA Chemical Sciences Laboratory325 BroadwayBoulderCO 80305USA Institute of Physics National Academy of Sciences of BelarusPr.Nezavisimosti 68-2Minsk 220072Belarus Key Laboratory for Ecological Environment in Coastal Areas(State Oceanic Administration) National Marine Environmental Monitoring CenterDalian 116023China CAS Key Laboratory of Tropical Marine Bio-Resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies Sun Yat-sen UniversityZhuhai 519000China Faculty of Technology and Environment Prince of Songkla UniversityPhuket 83120Thailand Second Institute of Oceanography Ministry of Natural ResourcesHangzhou 310012China Ocean College Zhejiang UniversityZhoushan 316021China Donghai Laboratory Zhoushan 316021China

Lidar techniques present a distinctive ability to resolve vertical structure of optical properties within the upper water column at both day-and night-time.However,accuracy challenges remain for existing lidar instruments due to the ill-posed nature of elastic backscatter lidar retrievals and multiple scattering.Here we demonstrate the high performance of,to the best of our knowledge,the first shipborne oceanic high-spectral-resolution lidar(HSRL)and illustrate a multiple scattering correction algorithm to rigorously address the above challenges in estimating the depth-resolved diffuse attenuation coefficient Kd and the particulate backscattering coefficient bbp at 532 nm.HSRL data were collected during day-and night-time within the coastal areas of East China Sea and South China Sea,which are connected by the Taiwan Strait.Results include vertical profiles from open ocean waters to moderate turbid waters and first lidar continuous observation of diel vertical distribution of thin layers at a fixed station.The root-mean-square relative differences between the HSRL and coincident in situ measurements are 5.6%and 9.1%for Kd and bbp,respectively,corresponding to an improvement of 2.7-13.5 and 4.9-44.1 times,respectively,with respect to elastic backscatter lidar methods.Shipborne oceanic HSRLs with high performance are expected to be of paramount importance for the construction of 3D map of ocean ecosystem.

关键词： lidar oceanic ocean

Lyrical Reflections on Leifeng Pagoda

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Beijing Review 2023年第28期66卷 48-48页

作者： Callum Joseph Wilson East China Normal university in Shanghai

I am a lover of all things historical and ancient.Recently,I had the-opportunity to visit the Leifeng Pagoda in Hangzhou,capital of zhejang Province,with a history traversing thousands of years.Visitors can still see the original bricks laid down in 975 inside the tower.On September 5,1924,the octagonal,five-storied structure built of brick and wood collapsed,without warning.In 2002,the pagoda was rebuilt.

关键词： lover Hangzhou tower