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Diagnosis,treatment and prevention of severe acute respiratory syndrome coronavirus 2 infection in children:experts'consensus statement updatedforthe Omicron variant

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World Journal of Pediatrics 2024年第3期20卷 272-286页

作者： Rong-Meng Jiang Zheng-De Xie Yi Jiang Xiao-Xia Lu Run-Ming Jin Yue-Jie Zheng Yun-Xiao Shang Bao-Ping Xu Zhi-Sheng Liu Gen Lu Ji-Kui Deng Guang-Hua Liu Xiao-Chuan Wang Jian-She Wang Lu-Zhao Feng Wei Liu Yi Zheng Sai-Nan Shu Min Lu Wan-Jun Luo Miao Liu Yu-Xia Cui Le-Ping Ye A-Dong Shen Gang Liu Li-Wei Gao Li-Juan Xiong Yan Bai Li-Kai Lin Zhuang Wei Feng-Xia Xue Tian-You Wang Dong-Chi Zhao Jian-Bo Shao Daniel Kwok-keung Ng gary wing-kin wong Zheng-Yan Zhao Xing-Wang Li Yong-Hong Yang Kun-Ling Shen Diagnosis and Treatment Center of Infectious Diseases Beijing Ditan HospitalCapital Medical UniversityBeijing 100015China Beijing Key Laboratory of Pediatric Respiratory Infection Diseases Key Laboratory of Major Diseases in ChildrenMinistry of EducationNational Clinical Research Center for Respiratory DiseasesResearch Unit of Critical Infection in ChildrenChinese Academy of Medical Sciences2019RU016Laboratory of Infection and VirologyBeijing Pediatric Research InstituteBeijing Children's HospitalCapital Medical UniversityNational Center for Children's HealthBeijing 100045China Department of Pediatrics Renmin Hospital of Wuhan UniversityWuhan 430060China Department of Respiratory Wuhan Children's HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430016China Department of Pediatrics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Department of Respiratory Shenzhen Children's HospitalShenzhen 518038China Department of Pediatric Respiratory Shengjing Hospital Affiliated to China Medical UniversityShenyang 110004China Department of Respiratory Beijing Children's HospitalCapital Medical UniversityNational Clinical Research Center for Respiratory DiseasesNational Center for Children's HealthBeijing 100045China Department of Neurology Wuhan Children's HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430016China Department of Respiratory Guangzhou Women and Children's Medical CenterGuangzhou 510623China Department of Infectious Diseases Shenzhen Children's HospitalShenzhen 518038China Department of Pediatrics Fujian Branch of Shanghai Children's Medical CenterFujian Children's HospitalFuzhou350005China Department of Clinical Immunology and Allergy Children's Hospital of Fudan UniversityNational Center for Children's HealthShanghai 201102China Department of Infectious Diseases Children's Hospital of Fudan UniversityNational Center for Children's Health.Shanghai

It has been more than 3 years since the novel coronavirus(SARS-CoV-2)pandemic raged *** coronavirus disease 2019(COVID-19)has greatly influenced human *** to data from the World Health Organization(WHO),there were ove... 详细信息

关键词： prevention infection statement

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Meteorin-β/Meteorin like/IL-41 attenuates airway inflammation in house dust mite-induced allergic asthma

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Cellular & Molecular Immunology 2022年第2期19卷 245-259页

作者： Xun Gao Ting-Fan Leung gary wing-kin wong wing-Hung Ko Mengyun Cai Ellie Jiayi He Ida Miu-Ting Chu Miranda Sin-Man Tsang Ben Chung-Lap Chan Jiawei Ling Xiao Fan Liwei Lu Christopher Wai-Kei Lam Chun-Kwok wong Department of Chemical Pathology The Chinese University of Hong KongHong KongChina Department of Paediatrics The Chinese University of Hong KongHong KongChina School of Biomedical Sciences The Chinese University of Hong KongHong KongChina Emory College of Arts and Sciences Emory UniversityAtlantaGAUSA Institute of Chinese Medicine and State Key Laboratory of Research on Bioactivities and Clinical Applications of Medicinal Plants The Chinese University of Hong KongHong KongChina Department of Pathology and Shenzhen Institute of Research and Innovation The University of Hong KongHong KongChina Faculty of Medicine and State Key Laboratory of Quality Research in Chinese Medicines Macao University of Science and TechnologyMacaoChina Li Dak Sum Yip Yio Chin R&D Centre for Chinese Medicine The Chinese University of Hong KongHong KongChina

We sought to examine the regulatory effect of Meteorin-β(Metrnβ)/Meteorin like(Metrnl)/IL-41 on lung inflammation in allergic *** found that Metrnβwas elevated significantly in asthmatic patients and in mice with allergic asthma induced by house dust mite(HDM)*** exposure to HDM,Metrnβwas secreted predominantly by airway epithelial cells and inflammatory cells,including macrophages and *** increased Metrnβeffectively blocked the development of airway hyperreactivity(AHR)and decreased inflammatory cell airway infiltration and type 2 cytokine production,which was associated with downregulated DC-mediated adaptive immune ***,Metrnβimpaired the maturation and function of bone marrow-derived dendritic cells in *** mice adoptively transferred with dendritic cells isolated from Metrnβ-treated allergic mice displayed decreased AHR,airway inflammation,and lung ***βalso displayed anti-inflammatory properties in immunodeficient SCID mice with allergic asthma and in in vitro 3D ALI airway ***,blockade of Metrnβby anti-Metrnβantibody treatment promoted the development of allergic *** results revealed the unappreciated protective roles of Metrnβin alleviating DC-mediated Th2 inflammation in allergic asthma,providing the novel treatment strategy of therapeutic targeting of Metrnβin allergic asthma.

关键词： Metrnβ Eosinophils Dendritic cells Allergic asthma Air-liquid interface

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Machine learning discovery of distinguishing laboratory features for severity classification of COVID-19 patients

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IET Cyber-Systems and Robotics 2021年第1期3卷 31-43页

作者： Yang Xiao Li Yan Mingyang Zhang Kent E.Pinkerton Haosen Cao Ying Xiao Wei Li Shuai Li Yancheng Wang Shusheng Li Zhiguo Cao gary wing-kin wong Hui Xu Hai-Tao Zhang School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhanChina Department of Emergency Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina Department of Pediatrics School of MedicineDepartment of AnatomyPhysiology and Cell BiologySchool of MedicineSchool of Veterinary MedicineUniversity of CaliforniaDavisCAUSA Biomedical Engineering Institute School of Control Science and EngineeringShandong UniversityJinanChina Department of Paediatrics The Chinese University of Hong KongHong KongChina Department of Anesthesiology Tongji Hospital of Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina

The exponential spread of COVID-19 worldwide is evident,with devastating outbreaks primarily in the United States,Spain,Italy,the United kingdom,France,Germany,Turkey and *** of 1 May 2020,a total of 3,308,386 confirmed cases have been reported worldwide,with an accumulative mortality of 233,*** to the complexity and uncertainty of the pathology of COVID-19,it is not easy for front-line doctors to categorise severity levels of clinical COVID-19 that are general and severe/critical cases,with *** more than 300 laboratory features,coupled with underlying disease,all combine to complicate proper and rapid patient ***,such screening is necessary for early triage,diagnosis,assignment of appropriate level of care facility,and institution of timely intervention.A machine learning analysis was carried out with confirmed COVID-19 patient data from 10 January to 18 February 2020,who were admitted to Tongji Hospital,in Wuhan,China.A softmax neural network-based machine learning model was established to categorise patient severity *** to the analysis of 2662 cases using clinical and laboratory data,the present model can be used to reveal the top 30 of more than 300 laboratory features,yielding 86.30%blind test accuracy,0.8195 F1-score,and 100%consistency using a two-way patient classification of severe/critical to *** severe/critical cases,F1-score is 0.9081(*** is 0.9050,and precision is 0.9113).This model for classification can be accomplished at a mini-second-level computational cost(in contrast to minute-level manual).Based on available COVID-19 patient diagnosis and therapy,an artificial intelligence model paradigm can help doctors quickly classify patients with a high degree of accuracy and 100%consistency to significantly improve diagnostic and classification *** discovered top 30 laboratory features can be used for greater differentiation to serve as an essential supplement to current guidelines,

关键词： severity patients diagnosis

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Global Pediatric Pulmonology Alliance recommendation to strengthen prevention of pediatric seasonal influenza under COVID-19 pandemic

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World Journal of Pediatrics 2020年第5期16卷 433-437页

作者： Kun-Ling Shen Leyla Namazova-Baranova Yong-Hong Yang gary wing kin wong Lanny J.Rosenwasser Lance E.Rodewald Anne Eng Neo Goh Eitan Kerem Chris O'Callaghan T.Bernard kinane Basil Elnazir Rina Triasih Rosemary Horne Anne B Chang Jim Buttery Ruth A.Etzel Kazunobu Ouchi Hilary Hoey Varinder Singh Genesis C.Rivera Spencer SLi Yu Guan Ling Cao Yue-Jie Zheng Lu-Zhao Feng Wu Zhong Zheng-De Xie Bao-Ping Xu Rong-Jun Lin Gen Lu Qiang Qin Chun-Mei Zhu Su-Yun Qian Gang Liu Cheng-Song Zhao Zhuang Wei Yu-Hong Zhao Global Pediatric Pulmonology Alliance(GPPA)Expert Panel on Infectious Diseases&COVID-19 China National Clinical Research Center of Respiratory Diseases Department of Respiratory Medicine of Beijing Children's HospitalCapital Medical UniversityNational Center for Children's HealthBeijingChina Pediatrics and Child Health Research Institute Central Clinical HospitalRussian Academy of SciencesMoscowRussian Federation Department of Respiratory Shenzhen Children's HospitalShenzhenChina Chinese University of Hong Kong Hong Kong SARChina UMKC School of Medicine Kansas CityMOUSA National Immunization Program Chinese Center for Disease Control and PreventionBeijingChina K Women's and Children's Hospital SingaporeSingapore Department of Pediatrics Hadassah Hebrew University Medical CenterJerusalemIsrael UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital(GOSH)BRC University College LondonLondonUK Massachusetts General Hospital for Children BostonMAUSA Children's Health Ireland and Trinity College Dublin DublinIreland Department of Paediatric Faculty of MedicinePublic Health and NursingUniversitas Gadjah Mada/Dr.Sardjito HospitalYogyakartaIndonesia Monash University MelbourneAustralia Queensland Children's Hospital BrisbaneAustralia Monash Children's Hospital Menzies School of Health ResearchMelbourneAustralia George Washington University WashingtonDCUSA Department of Pediatrics Kawasaki Medical SchoolKurashiki-CityJapan Department of Pediatrics University of Dublin Trinity CollegeDublinIreland Lady Hardinge Medical College and Assoc Kalawati Saran Children's Hospital New DelhiIndia Center for Medical and Allied Health Sciences New Era UniversityQuezon Citythe Philippines Global Pediatric Pulmonology Alliance Hong Kong SARChina Department of Respiratory the Children's Hospital Affiliated to the Capital Institute of PediatricsBeijingChina School of Population Medicine and Public Health Chinese Academy of Medical Sciences/Peking Union Medical CollegeBeijingChina National Engineering Research Center for the Emergency Drug BeijingChina Nati

The World Health Organization(WHO)announced COVID-19 as a global pandemic in March of 2020[1].The COVID-19 pandemic may persist for a long period of *** prevention and control becomes a complex and challenging task,and such efforts should be *** general measures,such as social distancing,face masks,respiratory hygiene and hand sanitization,will bear fruits for decreasing spread of other respiratory illnesses including influenza,the specific prevention through vaccination is a key focus especially in the upcoming winter and spring seasons[2].

关键词： prevention influenza sustained

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Global Pediatric Pulmonology Alliance(GPPA)proposal for COVID-19 vaccination in children

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World Journal of Pediatrics 2021年第5期17卷 458-461页

作者： Lance E.Rodewald Kun-Ling Shen Yong-Hong Yang gary wing-kin wong Leyla Namazova-Baranova Lanny J.Rosenwasser Adel S.Alharbi Anne B.Chang Jim Buttery Basil Elnazir Ruth A.Etzel Anne Goh Hilary Hoey Rosemary Home Eitan Kerem Antonella Muraro Chris O’Callaghan Kazunobu Ouchi Varinder Singh Jiu-Yao Wang Spencer Li Yu Guanon Yue-Jie Zheng Zhengde Xie Gen Lu Yi Jiang Xing-Wang Li Rong-Meng Jiang Xiao-Chuan Wang Ji-Kui Deng Xiao-Xia Lu Bao-Ping Xu Zhuang Wei Lu-Zhao Feng Zheng-Yan Zhao the Global Pediatric Pulmonology Alliance(GPPA)Counci Global Pediatric Pulmonology Alliance(GPPA)Expert Panel on Infectious Diseases and COVID-19 National Immunization Program Chinese Center for Disease Control and Prevention.BeijingChina China National Clinical Research Center of Respiratory Diseases Department of RespiratoryBeijing Children's hospital.Capital Medical UniversityNational Center for Children's HealthBeijingChina Beijing Children's Hospital Capital Medical UniversityNational Center for Children's HealthBeijingChina Chinese University of Hong Kong.Hong Kong SAR China Pediatrics and Child Health Research Institute Central Clinical HospitalRussian Academy of SciencesMoscowRussian Federation University of Missouri-Kansas City School of Medicine Kansas CityMOUSA Prince Sultan Military Medical City(PSMMC) Ministry of DefenseRiyadhSaudi Arabia Queensland Children's Hospital.Brisbane Australia and Menzies School of Health ResearchDarwinAustralia Monash Children's Hospital Monash UniversityMelbourneAustralia Children's Health Ireland and Trinity College Dublin DublinIreland George Washington University WashingtonDCUSA KK Women’s and Children’s Hospital SingaporeSingapore Department of Pediatrics University of Dublin Trinity CollegeDublinIreland Monash University MelbourneAustralia Department of Pediatrics Hadassah Hebrew University Medical CenterJerusalem.Israel Food Allergy Referral Centre Veneto Region Padua University Hospital PaduaItaly UCL Great Ormond Street Institute of Child Health Great Ormond Street Hospital(GOSH)BRCUniversity College LondonLondonUK Department of Pediatrics.Kawasaki Medical School Kurashiki-cityJapan Lady Hardinge Medical College and Assoc Kalawati Saran Children's Hospital Bangla Sahib MargNew DelhiIndia College of Medicine National Cheng Kung UniversityTainan CityTaiwanChina VITUP International Hospital DalianLiaoningChina China Medicine Education Association Pediatric Committee BeijingChina Department of Respiratory Disease Shenzhen Children's Hospital.ShenzhenChina Research Unit of Critical Infection in Children Chinese Academy of Medical Sciences2019RU016National Clinical Rese

Coronavirus disease 2019(COVID-19)remains a global *** of August 18,2021,the number of reported cases has exceeded 207 million globally,with more than 4.3 million ***-19 has brought devastating losses to human *** overall crude mortality rate is 1-3%.Although pediatric deaths from COVID-19 are rare,they do occur,as over 9,000 children have died from COVID-19 globally to date[1].With the gradual and broad application of COVID-19 vaccines around the world,the rising proportion of cases among children and unvaccinated young adults demands *** to World Health Organization surveillance data.

关键词： mortality globally Alliance

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Epidemiological characteristics and clinical manifestations of pediatric patients with COVID-19 in China: A multicenter retrospective study

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Pediatric Investigation 2021年第3期5卷 203-210页

作者： Yan Bai Liwei Gao Xianfeng Wang Lili Zhong Jingfeng Li Shenggang Ding Yuejie Zheng Jun Liu Yuxia Cui Lina Wang Mingfeng Han Jun Liu Xinping Jiang Min Jiang Junhua Li Ning Chen Yunxiao Shang Hourong Zhou Yi Xu Gen Lu Xing Chen Jizhi Xu Qihong Fan Yu Tang Jiang Wu Cen Li Xiaoxiang Yang Chunxi Chen Yonghong Yang gary wing-kin wong Adong Shen Tianyou Wang Runming Jin Baoping Xu Kunling Shen Pediatric Department Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyHubeiChina China National Clinical Research Center for Respiratory Diseases Department of Respiratory MedicineBeijing Children’s HospitalCapital Medical UniversityNational Center for Children’s HealthBeijingChina Department of Pediatrics Shenzhen Third People’s HospitalSecond Affiliated Hospital of Southern University of Science and TechnologyShenzhenChina Children’s medical center of Hunan Provincial People’s Hospital HunanChina Taihe Hospital ShiyanHubeiChina Department of Pediatrics the First Affiliated Hospital of Anhui Medical UniversityHefeiAnhuiChina Department of Respiratory Medicine Shenzhen Children’s HospitalShenzhenChina Department of Pediatrics Guizhou Provincial People’s HospitalGuizhouChina Department of Respiratory medicine The Second People’s Hospital of FuyangAnhuiChina Department of Pediatrics the People Hospital of BozhouAnhuiChina Loudi Central Hospital Loudi CityHunanChina Department of Pediatrics the First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina Department of Pediatrics Xiangyang Central HospitalXiangyangHubeiChina Department of Pediatric Shengjing Hospital of China Medical UniversityLiaoningChina Department of General Practice Guizhou Provincial People’s HospitalOffice of Academic ResearchJiangjunshan HospitalGuiyangGuizhouChina Department of Pediatric Guangzhou Women and Children’s Medical CenterGuangzhou Medical UniversityGuangzhouChina Department of Pediatrics Shangdong Provincial Hospital Affiliated to Shandong First Medical UniversityShangdongChina Changsha Maternal and Child Health Hospital ChangshaHunanChina Department of Pediatrics Jingzhou First People’s HospitalJingzhouHubeiChina Children’s Hospital Affiliated to Zhengzhou University ZhengzhouHenanChina Huangshi Maternity and Child Health Care Hospital HuangshiHubeiChina Guizhou Provincial People’s Hospital GuizhouChina Department of Pediatrics t

Importance:The Coronavirus disease 2019(COVID-19)global pandemic poses a considerable challenge for ***:This study aimed to identify the epidemiological characteristics and clinical features of pediatric patients with COVID-19 in ***:This multicenter retrospective study included pediatric patients from 46 hospitals in China,covering 12 provinces and two ***,demographic,clinical,laboratory,treatment,and outcome data were ***:In total,211 pediatric patients with COVID-19 were included in this *** median age was 7.0 years(range:22 days to 18 years).Approximately 16.3%of the patients exhibited asymptomatic infections,23.0%had upper respiratory tract infections,and 60.7%had pneumonia,including two with severe pneumonia and one with critical *** 78.7%of the pediatric patients occurred in familial *** most three common symptoms or signs at onset in children with COVID-19 were fever(54.5%),cough(49.3%),and pharyngeal congestion(20.8%).Only 17.6%of the patients presented with decreased lymphocyte count,whereas 13.6%had increased lymphocyte *** the patients with pneumonia who exhibited abnormal chest computed tomography findings,18.2%(23/127)of the patients had no other ***,the chest radiographs showed abnormalities that affected both lungs(49.6%);ground-glass opacity(47.2%)was the most common *** cure and improvement rates were 86.7%(183/211)and 13.3%(28/211),*** one patient with an underlying condition received invasive mechanical ventilation;none of the patients ***:Similar to adults,children of all age groups are susceptible to ***,most pediatric patients have mild symptoms or remain asymptomatic,despite the high incidence of *** proportions of white blood cells and lymphocytes are less frequent in children than in adults.

关键词： COVID-19 SARS-CoV-2 Children

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Design, Synthesis, Photophysical Studies and Electrochemistry of Carbazole-, Oxadiazole-, and Oxadiazole-Triarylamine-Containing Rhenium(Ⅰ) Diimine Alkynyl Complexes

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Chinese Journal of Chemistry 2014年第10期32卷 1015-1021页

作者： Wai-kin Chung Keith Man-Chung wong Vivian wing-Wah Yam and Department of ChemistryThe University of Hong KongPokfulam RoadHong KongChina

A series of rhenium(I)diimine alkynyl complexes with various electron-and hole-transporting moieties has been synthesized and *** electronic absorption,emission and electrochemical properties have also been studied.

关键词： electrochemistry luminescence metal alkynyl rhenium(Ⅰ)diimine,UV/Vis spectroscopy

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Chronic ulcerative gastroduodenitis as a first gastrointestinal manifestation of Hermansky-Pudlak syndrome in a 10-year-old child

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World Journal of Gastroenterology 2008年第18期14卷 2939-2941页

作者： Anselm Chi-Wai Lee kin-Hung Poon wing-Hong Lo Lap-Gate wong Department of Pediatrics & Adolescent Medicine Tuen Mun Hospital New Territories Hong Kong 999077 China Department of Clinical Pathology Tuen Mun Hospital New Territories Hong Kong 999077 China

A 10-year-old Chinese boy who had a history of congenital thrombocytopathy presented with severe iron deficiency anemia secondary to chronic gastric inflammation and duodenal ulcerations. Subtle oculocutaneous albinism led to the finding of diminished dense bodies in the platelets under electron microscopy, hence the diagnosis of Hermansky-Pudlak syndrome (HPS). Biopsies from the stomach and duodenum revealed a lymphocytic infiltration in the submucosa, but H pylori infection was absent. The gastroduodenitis responded to the treatment with omeprazole while iron deficiency anemia was corrected by oral iron therapy. HPS is a rare cause of congenital bleeding disorder with multisystemic manifestations. Upper gastrointestinal involvement is rare and should be distinguished from a mere manifestation of the bleeding diathesis.

关键词： Albinism Duodenal ulceration Hermansky-Pudlak syndrome Inflammatory bowel disease Thrombocytopathy

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Verification of tropical cyclones(TC)wind structure forecasts from global NWP models and ensemble prediction systems(EPSs)

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Tropical Cyclone Research and Review 2022年第2期11卷 88-102页

作者： Xiaoqin Lu Wai kin wong kin Chung Au-Yeung Chun wing Choy Hui Yu Shanghai Typhoon Institute and Laboratory of Typhoon Forecast Technique China Meteorological AdministrationShanghaiChina Hong Kong Observatory Hong KongChina

Forecasting wind structure of tropical cyclone(TC)is vital in assessment of impact due to high winds using Numerical Weather Prediction(NWP)*** usual verification technique on TC wind structure forecasts are based on grid-to-grid comparisons between forecast field and the actual ***,precision of traditional verification measures is easily affected by small scale errors and thus cannot well discriminate the accuracy or effectiveness of NWP model *** this study,the Method for Object-Based Diagnostic Evaluation(MODE),which has been widely adopted in verifying precipitation fields,is utilized in TC’s wind field verification for the first *** TC wind field forecast of deterministic NWP model and Ensemble Prediction System(EPS)of the European Centre for Medium-Range Weather Forecasts(ECMWF)over the western North Pacific and the South China Sea in 2020 were evaluated.A MODE score of 0.5 is used as a threshold value to represent a skillful(or good)*** is found that the R34(radius of 34 knots)wind field structure forecasts within 72 h are good regardless of DET or *** performance of R50 and R64 is slightly worse but the R50 forecasts within 48 h remain good,with MODE exceeded *** R64forecast within 48 h are worth for reference as well with MODE of around *** study states that the TC wind field structure forecast by ECMWF is skillful for TCs over the western North Pacific and the South China Sea.

关键词： Verification Tropical cyclones wind structure forecasts Numerical weather prediction models Ensemble prediction system

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Impact of IPMOE on nursing tasks in the medical ward: A time-motion study

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International Journal of Nursing Sciences 2018年第1期5卷 50-56页

作者： Ming Leung Kenny kin Chung Chan wing Leung wong Alexander Chun Bon Law Princess Margaret Hospital Hong KongChina Tuen Mun Hospital Hong KongChina Hong Kong Baptist University Hong KongChina

Introduction:The In-patient Medication Order Entry System (IPMOE) was first implemented in the medical ward of Princess Margaret Hospital,Hong *** was a local developed close-loop system including prescription,dispensing and administration *** on its impact on nursing tasks would be important for practice improvement and subsequent system ***:The study was conducted to quantify the nursing times across medication-associated tasks for paper-based MAR and computer-based IPMOE,including change in the tasks and time patterns before and after IPMOE ***:This was a prospective observation study in medical wards before (Jan 2014-Jun 2014) and after (Mar 2015-Jun 2015) the implementation of *** conducted 8-hr observation studies of individual nurses with a customized application to time various pre-categorized nursing *** inferences and interrupted time series analysis was performed to identify the change in the intercept and trends over time after ***:The average number of medication-related tasks was significantly reduced from 61.07 to 29.81,a reduction of 31.26 episodes per duty (P < 0.001,95% CI 22.9-39.63).The time for the medication-related tasks was reduced from 32 min (SD =21.57) to 26.57 min (SD =11.35) and the medication administration time increased from 37.93 min (SD-14.78) to 44.37 min (SD 19.45),but there was no overall significant difference in the time spent on each duty (P =0.315) between the two *** improving trend in the delayed effect was observed (P =0.03),which indicated a run-in period for new application was needed in clinical ***:Our study had shown the time motion observation could be applied to measure the impact of the IPMOE in a busy clinical *** classification of activities,validation,objective measurement and longitudinal evaluation,the method could be applied in various systems as well as different clinical settings in

关键词： In-patient medication order entry system Medication systems Nursing Time and motion studies

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