Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Ashok Kumar Dwivedi"'
1
Soil–skin adherence measures from hand press trials in a Gulf study of exposures
Autor: Hanna R Perone, Alesia Ferguson, Kyra Rattler, Kristina D. Mena, Helena M. Solo-Gabriele, Ashok Kumar Dwivedi, Emmanuel Obeng-Gyasi
Publikováno v: Journal of Exposure Science & Environmental Epidemiology. 31:158-169
Marine oil spills and the resulting environmental contamination is common along coastal areas; however, information is lacking about the safety of impacted beaches for public use, especially for the most vulnerable population: children. One route of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b334ef217246192e5625ff4fc643d33f
https://doi.org/10.1038/s41370-020-00269-2
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2
Quantified Activity Patterns for Young Children in Beach Environments Relevant for Exposure to Contaminants
Autor: Kristina D. Mena, Ashok Kumar Dwivedi, Foluke Adelabu, Emmanuel Obeng-Gyasi, Alesia Ferguson, Mehdi Lamssali, Esther Ehindero, Helena M. Solo-Gabriele
Publikováno v: International Journal of Environmental Research and Public Health, Vol 18, Iss 3274, p 3274 (2021)
International Journal of Environmental Research and Public Health
Volume 18
Issue 6
In a study to evaluate beach play activities, 120 children were videotaped to observe and quantify factors that could influence their exposure to contaminants in the beach environment. Children aged 1 to 6 years were followed by researchers with vide
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::424cec04953530fc2ff1de141b54b148
https://www.mdpi.com/1660-4601/18/6/3274
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3
Soil, Hand, and Body Adherence Measures across Four Beach Areas: Potential Influence on Exposure to Oil Spill Chemicals
Autor: Foluke Adelabu, Ashok Kumar Dwivedi, Larissa Montas, Hanna R Perone, Kyra Rattler, Kristina D. Mena, Alesia Ferguson, Helena M. Solo-Gabriele, Esther Ehindero
Publikováno v: International Journal of Environmental Research and Public Health, Vol 17, Iss 4196, p 4196 (2020)
International Journal of Environmental Research and Public Health
Volume 17
Issue 12
Skin adherence (SA) of soil affects exposure from soil contaminants through dermal routes via loading on the skin and through ingestion routes through hand to mouth activities. The objectives of this study were to evaluate the relationships between a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6bbdeeedd9000da6cfa03476f704d16
https://www.mdpi.com/1660-4601/17/12/4196
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4
Soil-skin adherence measures from hand press trials in a Gulf study of exposures
Autor: Alesia, Ferguson, Kyra, Rattler, Hanna, Perone, Ashok Kumar, Dwivedi, Emmanuel, Obeng-Gyasi, Kristina D, Mena, Helena, Solo-Gabriele
Publikováno v: Journal of exposure scienceenvironmental epidemiology. 31(1)
Marine oil spills and the resulting environmental contamination is common along coastal areas; however, information is lacking about the safety of impacted beaches for public use, especially for the most vulnerable population: children. One route of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d333259a6ff1e355ee82e776c629723a
https://pubmed.ncbi.nlm.nih.gov/32994540
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5
Analysis of computational intelligence techniques for diabetes mellitus prediction
Autor: Ashok Kumar Dwivedi
Publikováno v: Neural Computing and Applications. 30:3837-3845
Diabetes as a chronic disease is becoming a foremost community health concern worldwide. In developing countries, the diabetic patients are increasing rapidly due to lack of sentience and bad eating habits. So, there is a need of a framework that can
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::997b5aee6c774657f39e395f4bb38ed1
https://doi.org/10.1007/s00521-017-2969-9
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6
Artificial neural network model for effective cancer classification using microarray gene expression data
Autor: Ashok Kumar Dwivedi
Publikováno v: Neural Computing and Applications. 29:1545-1554
Microarray gene expression profile shall be exploited for the efficient and effective classification of cancers. This is a computationally challenging task because of large quantity of genes and relatively small amount of experiments in gene expressi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ccee51679b98b9666af54b8a22343cb
https://doi.org/10.1007/s00521-016-2701-1
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7
Performance evaluation of different machine learning techniques for prediction of heart disease
Autor: Ashok Kumar Dwivedi
Publikováno v: Neural Computing and Applications. 29:685-693
Heart diseases are of notable public health disquiet worldwide. Heart patients are growing speedily owing to deficient health awareness and bad consumption lifestyles. Therefore, it is essential to have a framework that can effectually recognize the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d84495fe7226f342b88d2d2a9af8f1d4
https://doi.org/10.1007/s00521-016-2604-1
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8
Comparative study of artificial neural network for classification of hot and cold recombination regions in Saccharomyces cerevisiae
Autor: Usha Chouhan, Ashok Kumar Dwivedi
Publikováno v: Neural Computing and Applications. 29:529-535
At the chromosomal level of evolution, recombination is a major factor for genetic variations. However, recombination does not occur with equal frequency at various regions of genome. The recombination has the tendency to occur at specific region wit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d91510a63605e7a2fa52f1c8d898425
https://doi.org/10.1007/s00521-016-2466-6
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10
On Support Vector Machine Ensembles for Classification of Recombination Breakpoint Regions in Saccharomyces Cerevisiae
Autor: Ashok Kumar Dwivedi, Usha Chouhan
Publikováno v: International Journal of Computer Applications. 108:44-48
Recombination has major influence on evolution. Recombination occurs at specific region on chromosomes more frequently than other regions. Chromosomal region where recombination occurs more frequently is hot recombination region, whereas, the region
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33f9063a970b937b47af71856bc5f4d2
https://doi.org/10.5120/18975-0475
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