International journal of applied science and technology最新文献_第4页

Dynamics of non-dimensional Richardson, Wedderburn and lake Numbers applied to the neotropical reservoirs Barra Bonita and Carlos Botelho (Broa) –São Paulo- Brazil 非量纲Richardson, Wedderburn和lake数的动力学应用于新热带储层Barra Bonita和Carlos Botelho (Broa) - s<s:1>圣保罗-巴西

International journal of applied science and technology Pub Date : 2019-01-01 DOI: 10.30845/IJAST.V9N2P7

N. Sebastien, J. Tundisi, Lais Cristina Batista, D. Nogueira

{"title":"Dynamics of non-dimensional Richardson, Wedderburn and lake Numbers applied to the neotropical reservoirs Barra Bonita and Carlos Botelho (Broa) –São Paulo- Brazil","authors":"N. Sebastien, J. Tundisi, Lais Cristina Batista, D. Nogueira","doi":"10.30845/IJAST.V9N2P7","DOIUrl":"https://doi.org/10.30845/IJAST.V9N2P7","url":null,"abstract":"The dynamics of reservoirs biodiversity can be explained by changes in the forces of functions such as climatologic and hydrologic. The aim of the present study was to determine the non-dimensional Wedderburn (W), Richardson (Ri) and Lake Numbers (LN) and their effects on the chemical and biological components of the reservoirs of Barra Bonita and Carlos Botelho (Broa). Previous data were used to show relationships between densimetric parameters biological and chemical data from the two reservoirs. Result showed occurrences of Dinophyceaean Bacillariophycea in summer, Chlorophyceae in winter, Cyanophyceae in autumn and spring, and Euglenophyceae, Cryptophyceae and Phytoflagellates the whole year. Concerning zooplankton, Thermocyclops and Mesocyclops exhibited occurrence in winter and spring. There was a positive correlation between Ri and W numbers and the nutrients. The stratified structure over the year has an influence on the development of some group of phytoplankton and chemical components, consequence of effect of non-dimensional numbers.","PeriodicalId":89777,"journal":{"name":"International journal of applied science and technology","volume":"101 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79395772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cyber security for Medical Devices Using Block chain 使用区块链的医疗设备网络安全

International journal of applied science and technology Pub Date : 2019-01-01 DOI: 10.30845/ijast.v9n4p2

Karen Benson, Lorraine Jonassen, Binh Tran

引用次数: 1

Maternal - Child Health Needs Assessment in Haiti. 海地妇幼保健需求评估。

International journal of applied science and technology Pub Date : 2014-10-01

Rosina Cianelli, Emma Mitchell, Laura Albuja, Carole Wilkinson, Debbie Anglade, Marie Chery, Nilda Peragallo

{"title":"Maternal - Child Health Needs Assessment in Haiti.","authors":"Rosina Cianelli, Emma Mitchell, Laura Albuja, Carole Wilkinson, Debbie Anglade, Marie Chery, Nilda Peragallo","doi":"","DOIUrl":"","url":null,"abstract":"Maternal and neonatal mortality in Haiti are among the highest in the world. This study investigated maternal-child health needs in Haiti, using a mixed method approach including qualitative and quantitative data collection. Participants (n=119) comprised of 39 healthcare workers and 80 Haitian women. The focus group centered around three major themes: difficult access to healthcare; health issues affecting mothers-child; and healthcare workers training. The interviews revealed that 60% of the deliveries happened at home, 52.5% of them were assisted by a lay birth attendant, 42% of the women gave their newborn a drink other than breast milk within the first week of birth, 70% of the women had not been, or did not know, if they had been tested for HIV, 92% did not use condoms during sexual encounters, and 47.5% justified violence against themselves from their partner. Considering the dearth of research concerning maternal-child health in Haiti that incorporates the opinions of healthcare workers and Haitian women, identifying their needs is essential to developing programs, such as the following that contribute to improving their health: nurse-midwife programs, training for lay birth attendants, obstetric-pediatric training, breastfeeding training, and programs to prevent intimate partner violence and HIV.","PeriodicalId":89777,"journal":{"name":"International journal of applied science and technology","volume":"4 5","pages":"30-38"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469393/pdf/nihms660264.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33409448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Study of Effects of MultiCollinearity in the Multivariable Analysis. 多重共线性在多变量分析中的作用研究。

International journal of applied science and technology Pub Date : 2014-10-01

Wonsuk Yoo, Robert Mayberry, Sejong Bae, Karan Singh, Qinghua Peter He, James W Lillard

{"title":"A Study of Effects of MultiCollinearity in the Multivariable Analysis.","authors":"Wonsuk Yoo, Robert Mayberry, Sejong Bae, Karan Singh, Qinghua Peter He, James W Lillard","doi":"","DOIUrl":"","url":null,"abstract":"A multivariable analysis is the most popular approach when investigating associations between risk factors and disease. However, efficiency of multivariable analysis highly depends on correlation structure among predictive variables. When the covariates in the model are not independent one another, collinearity/multicollinearity problems arise in the analysis, which leads to biased estimation. This work aims to perform a simulation study with various scenarios of different collinearity structures to investigate the effects of collinearity under various correlation structures amongst predictive and explanatory variables and to compare these results with existing guidelines to decide harmful collinearity. Three correlation scenarios among predictor variables are considered: (1) bivariate collinear structure as the most simple collinearity case, (2) multivariate collinear structure where an explanatory variable is correlated with two other covariates, (3) a more realistic scenario when an independent variable can be expressed by various functions including the other variables.","PeriodicalId":89777,"journal":{"name":"International journal of applied science and technology","volume":"4 5","pages":"9-19"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318006/pdf/nihms653352.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33040208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comparison of Logistic Regression, Logic Regression, Classification Tree, and Random Forests to Identify Effective Gene-Gene and Gene-Environmental Interactions. 比较逻辑回归、逻辑回归、分类树和随机森林来识别有效的基因-基因和基因-环境相互作用。

International journal of applied science and technology Pub Date : 2012-08-01

Wonsuk Yoo, Brian A Ference, Michele L Cote, Ann Schwartz

{"title":"A Comparison of Logistic Regression, Logic Regression, Classification Tree, and Random Forests to Identify Effective Gene-Gene and Gene-Environmental Interactions.","authors":"Wonsuk Yoo, Brian A Ference, Michele L Cote, Ann Schwartz","doi":"","DOIUrl":"","url":null,"abstract":"Genome wide association studies (GWAS) have identified numerous single nucleotide polymorphisms (SNPs) that are associated with a variety of common human diseases. Due to the weak marginal effect of most disease-associated SNPs, attention has recently turned to evaluating the combined effect of multiple disease-associated SNPs on the risk of disease. Several recent multigenic studies show potential evidence of applying multigenic approaches in association studies of various diseases including lung cancer. But the question remains as to the best methodology to analyze single nucleotide polymorphisms in multiple genes. In this work, we consider four methods-logistic regression, logic regression, classification tree, and random forests-to compare results for identifying important genes or gene-gene and gene-environmental interactions. To evaluate the performance of four methods, the cross-validation misclassification error and areas under the curves are provided. We performed a simulation study and applied them to the data from a large-scale, population-based, case-control study.","PeriodicalId":89777,"journal":{"name":"International journal of applied science and technology","volume":"2 7","pages":"268"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686280/pdf/nihms458280.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31529061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0