检索结果-南通市图书馆

The association of physical activity duration and intensity on emotional intelligence in 10-13 year-old Children

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Sports Medicine and Health Science 2024年第4期6卷 331-337页

作者： Marie C.Gabour Tongjian You Richard Fleming Paul D.McNicholas Philimon N.Gona department of Health Sciences Regis College235 Wellesley StreetWestonMA02493USA department of Exercise and Health Sciences University of Massachusetts Boston100 Morrissey BlvdBostonMA02125USA department of Mathematics&statistics McMaster UniversityHamiltonOntarioCanada L8S 4L8

Previous studies have shown that Physical Activity(PA)has a positive association with emotional health and intelligence in adolescents but none have focused on the relationship of PA duration and intensity on Emotional Intelligence(EI).The purpose of this study was to cross-sectionally assess the association of PA measures on overall EI and its domains in a cohort of 2029 adolescents aged 10-13 years of age in the National Longitudinal Survey for Children and Youth(NLSCY)from *** linear regression analysis of EI was adjusted for age,sex,annual household income,and health ***-way analysis of variance(ANOVA)was used to relate PA duration measured in minutes,frequency,and intensity categories with continuous GEI scores and also the corresponding scores for domains of *** mean GEI scores were(28.3±6.6)for 0-30 minute(min)PA duration,(30.0±6.5)for 30 to<60 min,(30.8±6.7)for 60-120 min,and(30.1±6.5)for≥121 *** was a statistically significant linear trend across PA duration categories,p?***-hoc pairwise comparison revealed that compared to the referent category(<30 min PA category)was statistically significantly lower GEI than each of the other two PA categories(30-59 min;and 60-120 min),both p-values<*** World Health Organization(WHO)guidelines for duration and vigorous intensity were positively associated with the higher overall EI and its domains except for Stress Management.

关键词： Physical activity Duration Intensity Emotional Intelligence Adolescents

Rock Mass Quality Rating Based on the Multi-Criteria Grey Metric Space

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第9期140卷 2635-2664页

作者： Miloš Gligoric Zoran Gligoric Saša Jovanovic Suzana Lutovac Dragan Pamucar Ivan Jankovic Faculty of Mining and Geology University of BelgradeBelgrade11000Serbia Faculty of Technical Sciences University of PrištinaKosovska Mitrovica38220Serbia department of Operations Research and statistics Faculty of Organizational SciencesUniversity of BelgradeBelgrade11000Serbia college of Engineering Yuan Ze UniversityTaoyuan City320315TaiwanChina

Assessment of rock mass quality significantly impacts the design and construction of underground and open-pit mines from the point of stability and *** study develops the novel Gromov-Hausdorff distance for rock quality(GHDQR)methodology for rock mass quality rating based on multi-criteria grey metric *** usually presents the quality of surrounding rock by classes(metric spaces)with specified properties and adequate interval-grey *** the distance between surrounding rock sample characteristics and existing classes represents the core of this *** Gromov-Hausdorff distance is an especially useful discriminant function,i.e.,a classifier to calculate these distances,and assess the quality of the surrounding *** efficiency of the developed methodology is analyzed using the Mean Absolute Percentage Error(MAPE)*** existing methods,such as the Gaussian cloud method,Discriminant method,Mutation series method,Artificial neural network(ANN),Support vector machine(SVM),Grey wolf optimizer and Support vector classification method(GWO-SVC)and Rock mass rating method(RMR)are used for comparison with the proposed GHDQR *** share of the highly accurate category of 85.71%clearly indicates compliance with actual values obtained by the compared *** results of comparisons showed that the model enables objective,efficient,and reliable assessment of rock mass quality.

关键词： Rock mass rating multi-criteria class metric space interval-grey numbers

Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Infectious Disease Modelling 2024年第2期9卷 299-313页

作者： Ruth McCabe Gabriel Danelian Jasmina Panovska-Griffiths Christl A.Donnelly department of statistics University of OxfordUK National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections UK United Kingdom Health Security Agency UK The Queen's college University of OxfordUK The Pandemic Sciences Institute University of OxfordUK MRC Centre for Global Infectious Disease Analysis Imperial College LondonUK

Key epidemiological parameters,including the effective reproduction number,,and the instantaneous growth rate,,generated from an ensemble of models,have been informing public health policy throughout the COVID-19 pandemic in the four nations of the United Kingdom of Great Britain and Northern Ireland(UK).However,estimation of these quantities became challenging with the scaling down of surveillance systems as part of the transition from the“emergency”to“endemic”phase of the *** Office for National statistics(ONS)COVID-19 Infection Survey(CIS)provided an opportunity to continue estimating these parameters in the absence of other data *** used a penalised spline model fitted to the publicly-available ONS CIS test positivity estimates to produce a smoothed estimate of the prevalence of SARS-CoV-2 positivity over *** resulting fitted curve was used to estimate the“ONS-based”and across the four nations of the *** produced under this model are compared to government-published estimates with particular consideration given to the contribution that this single data stream can offer in the estimation of these *** on the nation and parameter,we found that up to 77%of the variance in the government-published estimates can be explained by the ONS-based estimates,demonstrating the value of this singular data stream to track the epidemic in each of the four *** additionally find that the ONS-based estimates uncover epidemic trends earlier than the corresponding government-published *** work shows that the ONS CIS can be used to generate key COVID-19 epidemiological parameters across the four UK nations,further underlining the enormous value of such population-level studies of *** is not intended as an alternative to ensemble modelling,rather it is intended as a potential solution to the aforementioned challenge faced by public health officials in the UK in early 2022.

关键词： Effective reproduction number Instantaneous growth rate SARS-CoV-2 COVID-19 ONS COVID-19 Infection Survey Surveillance

Predicting influenza-like illness trends based on sentinel surveillance data in China from 2011 to 2019:A modelling and comparative study

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Infectious Disease Modelling 2024年第3期9卷 816-827页

作者： Xingxing Zhang Liuyang Yang Teng Chen Qing Wang Jin Yang Ting Zhang Jiao Yang Hongqing Zhao Shengjie Lai Luzhao Feng Weizhong Yang School of Population Medicine and Public Health Chinese Academy of Medical Sciences&Peking Union Medical CollegeBeijing100073China State Key Laboratory of Respiratory Health and Multimorbidity China Key Laboratory of Pathogen Infection Prevention and Control(Peking Union medical college) Ministry of EducationChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Communicable Disease Control and PreventionChinese Center for Disease Control and PreventionChina department of Management Science and Information System Faculty of Management and EconomicsKunming University of Science and TechnologyKunming650506China department of Applied Mathematics&statistics Stony Brook UniversityStony BrookNY11794-3600USA WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonSO171BJUK

Background Influenza is an acute respiratory infectious disease with a significant global disease ***,the coronavirus disease 2019 pandemic and its related non-pharmaceutical interventions(NPIs)have introduced uncertainty to the spread of ***,comparative studies on the performance of innovative models and approaches used for influenza prediction are ***,this study aimed to predict the trend of influenza-like illness(ILI)in settings with diverse climate characteristics in China based on sentinel surveillance data using three approaches and evaluate and compare their predictive *** The generalized additive model(GAM),deep learning hybrid model based on Gate Recurrent Unit(GRU),and autoregressive moving average-generalized autoregressive conditional heteroscedasticity(ARMA—GARCH)model were established to predict the trends of ILI 1-,2-,3-,and 4-week-ahead in Beijing,Tianjin,Shanxi,Hubei,Chongqing,Guangdong,hainan,and the Hong Kong Special Administrative Region in China,based on sentinel surveillance data from 2011 to *** relevant metrics,namely,Mean Absolute Percentage Error(MAPE),Root Mean Squared Error(RMSE),and R squared,were calculated to evaluate and compare the goodness of fit and robustness of the three *** Considering the MAPE,RMSE,and R squared values,the ARMA—GARCH model performed best,while the GRU-based deep learning hybrid model exhibited moderate performance and GAM made predictions with the least accuracy in the eight settings in ***,the models’predictive performance declined as the weeks ahead ***,blocked cross-validation indicated that all models were robust to changes in data and had low risks of *** Our study suggested that the ARMA—GARCH model exhibited the best accuracy in predicting ILI trends in China compared to the GAM and GRU-based deep learning hybrid ***,in the future,the ARMA—GARCH model may be used

关键词： Influenza-like illness Influenza Sentinel surveillance China Predicting Modeling

Large Deviations for a Critical Galton-Watson Branching Process

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Mathematicae Applicatae Sinica 2024年

作者： Dou-dou LI Wan-lin SHI Mei ZHANG college of statistics and Data Science Faculty of Science Beijing University of Technology Laboratory of Mathematics and Complex Systems (Ministry of Education) School of Mathematical SciencesBeijing Normal University department of Mathematics and Physics North China Electric Power University

In this paper, a critical Galton-Watson branching process{Zn}is considered. Large deviation rates of SZn:=∑i=1ZnXiare obtained, where{Xi, i≥1}is a sequence of independent and identically distributed random variables and X1is in the domain of attraction of an α-stable law with α∈(0, 2). One shall see that the convergence rate is determined by the tail index of X1and the variance of Z1. Our results can be compared with those ones of the supercritical case.

关键词：

Critical behavior and Joule-Thomson expansion of charged AdS black holes surrounded by exotic fluid with modified Chaplygin equation of state

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics C 2024年第6期48卷 179-190页

作者：张梦瑶陈浩 Hassan Hassanabad 隆正文杨辉 School of Mathematics and statistics Guizhou UniversityGuiyang 550025China School of Physics and Electronic Science Zunyi Normal UniversityZunyi 563006China Faculty of Physics Shahrood University of TechnologyShahroodIran department of Physics University of Hradec KrálovéRokitanského 6250003 Hradec KrálovéCzechia college of Physics Guizhou UniversityGuiyang 550025China

By considering the concept of a unified single fluid model,referred to as modified Chaplygin gas(MCG),which amalgamates dark energy and dark matter,we explore the thermodynamic characteristics of charged anti-de Sitter(AdS)black holes existing in an unconventional fluid accompanied by *** accomplish this objective,we derive the equations of state by regarding the charge Q^(2) as a thermodynamic *** effects of MCG parameters on the critical thermodynamic quantities(ψ_(c),T_(c),Q_(c)^(2))are examined,followed by a detailed analysis of the Q^(2)-ψ *** provide a clearer explanation of the phase transition,we present an analysis of the Gibbs free *** is important to note that if the Hawking temperature exceeds the critical temperature,a distinct pattern is observed known as swallowtail *** indicates that the system undergoes a first-order phase transition from a smaller black hole to a larger *** critical exponent of the system is found to be in complete agreement with that of the van der Waals fluid ***,we investigate the impact of MCG parameters and black hole charge on Joule-Thomson(J-T)expansion in the extended phase *** J-T coefficient is examined to pinpoint the exact region experiencing cooling or heating,and the observation reveals that the presence of negative heat capacity results in the occurrence of a cooling *** impact of MCG on the inversion curve of charged black holes exhibits a striking resemblance to that observed in most multi-dimensional black hole *** addition,it is worth noting that certain parameters exert a significant influence on the ratio T_(min)/*** specific values of the MCG parameters,the ratio is consistent with the charged AdS black *** parametersγandβhave a non-negligible effect on the isenthalpic curve.

关键词： black hole dark matter dark energy phase transition Joule-Thomson expansion

维普期刊数据库

Modifiable risk factors for esophageal cancer in endoscopic screening population:A modeling study

在线全文

学校读者我要写书评

暂无评论

Chinese medical Journal 2024年第3期137卷 350-352页

作者： Qian Zhang Fan Wang Hao Feng Jie Xing Shengtao Zhu Hao Zhang Yang Li Wenqiang Wei Shutian Zhang department of Gastroenterology Beijing Friendship HospitalCapital Medical UniversityNational Clinical Research Center for Digestive DiseaseBeijing Digestive Disease CenterBeijing Key Laboratory for Precancerous Lesion of Digestive DiseaseBeijing 100050China Center for Applied statistics and School of statistics Renmin University of ChinaBeijing 100872China Statistical Consulting Center Renmin University of ChinaBeijing 100872China National Cancer Center National Clinical Research Center for CancerCancer InstituteChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Peking Union medical college Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China department of Gastroenterology Jizhong Energy Fengfeng Group HospitalHandanHebei 056000China RSS and China-Re Life Joint Lab on Public Health and Risk Management Renmin University of ChinaBeijing 100872China

To the Editor:Esophageal cancer,one of the most common cancer types in China,with an estimated 346,633 new cases and 323,600 deaths in 2022,is becoming an increasingly serious clinical and public health problem.^([1])The successful promotion of the self-management strategy has indicated that lifestyle modifications can be valuable in the primary prevention of cancer *** a healthy lifestyle has become a novel strategy for primary prevention and risk reduction in high-risk *** epidemiological studies have identified several lifestyle-related risk factors for esophageal cancer,including smoking and diet.^([2])Each factor can typically explain a modest proportion of cancer ***,when combined,these known risk factors may substantially affect the risk of esophageal ***,some risk factors for esophageal cancer are non-modifiable,including age,low socioeconomic status,and family *** and how these non-modifiable risk factors affect primary cancer prevention by intervening with modifiable risk factors remain unclear.

关键词： esophageal prevention promotion

维普期刊数据库

Epidemic intelligence trinity:Detection,risk assessment,and early warning

在线全文

学校读者我要写书评

暂无评论

Chinese medical Journal 2024年第11期137卷 1313-1315页

作者： Ting Zhang Luzhao Feng Shengjie Lai Zhihang Peng Yajia Lan Weizhong Yang department of Infectious Diseases School of Population Medicine and Public HealthChinese Academy of Medical Science&Peking Union Medical CollegeBeijing 100730China WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonSO171BJUK department of Epidemiology and Health statistics School of Public HealthNanjing Medical UniversityNanjingJiangsu 211166China department of Occupational Health and Environmental Health West China School of Public HealthSichuan UniversityChengduSichuan 610041China

Emerging infectious diseases have been frequently *** occurrence of infectious diseases is highly uncertain because of the unpredictability of pathogen,the complexity of occurrence time and site,and the characteristics of *** detection and immediate implementation of effective interventions within a reasonable time are the keys to preventing pandemics.[1]However,due to the insufficiency of the traditional surveillance and early warning,which relied heavily on passive reporting by healthcare institutions,[2]the early warning time lags behind the risk factor identification,syndrome differentiation(pneumonia of unknown cause),and suspected case confirmation of the infectious disease at the gateway of clustered *** paper aimed to face the challenges mentioned above and propose a universal epidemic intelligence model to establish a novel infectious disease surveillance and early warning system based on the trinity of surveillance and detection,risk assessment,and early warning.

关键词： mentioned warning intelligence

维普期刊数据库

Automated Algorithms for Detecting and Classifying X-Ray Images of Spine Fractures

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第4期79卷 1539-1560页

作者： Fayez Alfayez department of Computer Science and Information College of ScienceMajmaah UniversityAL-Majmaah11952Saudi Arabia

This paper emphasizes a faster digital processing time while presenting an accurate method for identifying spinefractures in X-ray pictures. The study focuses on efficiency by utilizing many methods that include picturesegmentation, feature reduction, and image classification. Two important elements are investigated to reducethe classification time: Using feature reduction software and leveraging the capabilities of sophisticated digitalprocessing hardware. The researchers use different algorithms for picture enhancement, including theWiener andKalman filters, and they look into two background correction techniques. The article presents a technique forextracting textural features and evaluates three picture segmentation algorithms and three fractured spine detectionalgorithms using transformdomain, PowerDensity Spectrum(PDS), andHigher-Order statistics (HOS) for *** an emphasis on reducing digital processing time, this all-encompassing method helps to create asimplified system for classifying fractured spine fractures. A feature reduction program code has been built toimprove the processing speed for picture classification. Overall, the proposed approach shows great potential forsignificantly reducing classification time in clinical settings where time is critical. In comparison to other transformdomains, the texture features’ discrete cosine transform (DCT) yielded an exceptional classification rate, and theprocess of extracting features from the transform domain took less time. More capable hardware can also result inquicker execution times for the feature extraction algorithms.

关键词： Feature reduction image classification X-ray images