Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Binod Manandhar"'
Autor:
Daya Ram Pokharel, Abhishek Maskey, Ramchandra Kafle, Ashim Batajoo, Prajwal Dahal, Roji Raut, Shailesh Adhikari, Binod Manandhar, Krishna Das Manandhar
Publikováno v:
Non-coding RNA Research, Vol 9, Iss 4, Pp 1324-1332 (2024)
Circulating plasma miRNAs have emerged as potential early predictors of glucometabolic disorders. However, their biomarker potential remains unvalidated in populations with diverse genetic backgrounds, races, and ethnicities. This study aims to valid
Externí odkaz:
https://doaj.org/article/c43c23deb06846f5b3d4bcc9c20236ee
Autor:
Ramanuj Rauniyar, Sabita Prajapati, Binod Manandhar, Anup Bastola, Bimal Sharma Chalise, Srijan Shrestha, Chetana Khanal, Machchhendra Thapa, Rajindra Napit, Anup Muni Bajracharya, Shova Shrestha, Anurag Adhikari, Krishna Das Manandhar
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Nepal is an endemic country for dengue infection with rolling of every 3 year’s clear cyclic outbreaks with exponential growth since 2019 outbreak and the virus gearing towards the non-foci temperate hill regions. However, the information
Externí odkaz:
https://doaj.org/article/af6058f30f204d64a22d1fea617ac826
Autor:
Binod Manandhar
Publikováno v:
Open Journal of Social Sciences. 11:222-231
Autor:
Binod Manandhar, Hongbin Zhang
Publikováno v:
Proceedings of the 3rd International Conference on Statistics: Theory and Applications.
Autor:
Binod Manandhar, Balgobin Nandram
Publikováno v:
Communications in Statistics - Theory and Methods. 50:944-962
There are numerous types of continuous and positively skewed data. We develop a hierarchical Bayesian generalized gamma regression model for continuous and positively skewed data. For skewed data, ...
Publikováno v:
Forum for Interdisciplinary Mathematics ISBN: 9789811514753
We present a robust Bayesian method to analyze forestry data when samples are selected with probability proportional to length from a finite population of unknown size. Specifically, by using Bayesian predictive inference, we estimate the finite popu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::868f7c2f8db9d38ebe6238ae9f172854
https://doi.org/10.1007/978-981-15-1476-0_6
https://doi.org/10.1007/978-981-15-1476-0_6
Publikováno v:
Journal of Physics: Conference Series. 425:142001
IRENI (InfraRed ENvironmental Imaging) is a recently commissioned FTIR chemical imaging beamline at the Synchrotron Radiation Center in Madison, WI. This novel beamline extracts 320 mrads of radiation, horizontally, from one bending magnet. The optic