Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mukesh Khadka"'
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32610- (2024)
This study analyzed the aspirin molecule (C9H8O4) using Density Functional Theory (DFT) on Gaussian 09W software. First, the structure of aspirin was optimized using the DFT method with the B3LYP functional and the 6-311+G (d,p) basis set. A global r
Externí odkaz:
https://doaj.org/article/b9324f24e8e54eb4abf4e85c03d75db7
Autor:
Manju Adhikari, Sabitra Kaphle, Yamuna Dhakal, Sabina Duwadi, Rajan Subedi, Sonu Shakya, Sunil Tamang, Mukesh Khadka
Publikováno v:
BMC Public Health, Vol 21, Iss 1, Pp 1-11 (2021)
Abstract Background Migrants settling in a new country experience multiple complexities in navigating health care systems and adapting to a new way of life in the host country. In South Asia, migrating to another country for better life opportunities
Externí odkaz:
https://doaj.org/article/2bea6ae9fed9431abebc2be6bb75c705
Autor:
Yamuna Dhakal, Manju Adhikari, Mukesh Khadka, Sonu Shakya, Sabitra Kaphle, Rajan Subedi, Sunil Tamang, Sabina Duwadi
Publikováno v:
BMC Public Health, Vol 21, Iss 1, Pp 1-11 (2021)
BMC Public Health
BMC Public Health
Background Migrants settling in a new country experience multiple complexities in navigating health care systems and adapting to a new way of life in the host country. In South Asia, migrating to another country for better life opportunities has been
Autor:
Rajan Subedi, Sabitra Kaphle, Manju Adhikari, Yamuna Dhakal, Mukesh Khadka, Sabina Duwadi, Sunil Tamang, Sonu Shakya
Publikováno v:
Australian journal of primary health. 28(1)
The socio-cultural context of populations has a significant effect on health outcomes across every stage of life. In Australia, South Asian migrants have a comparatively higher incidence of chronic disease and less use of health services. Often overl
Autor:
Manju Adhikari, Sabitra Kaphle, Yamuna Dhakal, Sabina Duwadi, Rajan Subedi, Sonu Shakya, Sunil Tamang, Mukesh Khadka
Background: Migrants settling in a new country experience multiple complexity to navigate health systems and ways of living. In South Asia, migrating to developed countries for better life opportunities has been the ongoing trend and migration to Aus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9ae32a92ffd553e46bd0f495355fc68
https://doi.org/10.21203/rs.3.rs-234694/v1
https://doi.org/10.21203/rs.3.rs-234694/v1
Publikováno v:
Mathematical Problems in Engineering, Vol 2018 (2018)
With regard to developing pavement performance models (PPMs), the existing state-of-the-art proposes Clusterwise Linear Regression (CLR) to determine the pavement clusters and associated PPMs simultaneously. However, the approach does not determine o
Publikováno v:
International Journal of Pavement Engineering. 21:1122-1134
This paper focuses on clusterwise regression (CR) approach for modelling of pavement performance. CR simultaneously clusters the data and estimates the associated models. Previous studies using CR ...
Autor:
Mukesh Khadka, Alexander Paz
Publikováno v:
Pavement and Asset Management ISBN: 9780429264702
The state of the art currently for addressing pavement deterioration proposes the development of Pavement Deterioration Models, using a clusterwise approach that requires a priori knowledge of the optimal number of clusters as well as significant exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58427745984d0e217aee6a66d1d4ccf3
https://doi.org/10.1201/9780429264702-23
https://doi.org/10.1201/9780429264702-23
Autor:
Mukesh Khadka, Alexander Paz
Publikováno v:
Journal of Transportation Engineering, Part B: Pavements. 143
A comprehensive mathematical program was formulated to determine simultaneously (1) an optimum number of pavement clusters, (2) cluster memberships of pavement samples, (3) cluster-specific significant explanatory variables, and (4) estimated regress
Autor:
Alexander Paz, Mukesh Khadka
Publikováno v:
Bearing Capacity of Roads, Railways and Airfields ISBN: 9781315100333
A mathematical program is proposed to determine an optimum number of pavement clusters, memberships of the pavement samples to clusters, and associated significant explanatory variables. Simulated annealing and all subsets regression was used to solv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a3c727224f613beced725977487ce4c
https://doi.org/10.1201/9781315100333-197
https://doi.org/10.1201/9781315100333-197