Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Deepak Upreti"'
Autor:
Kevin Brown, Sheila Singh, Hong Han, Mathieu Seyfrid, William Thomas Maich, Vaseem Muhammad Shaikh, Nazanin Tatari, Deepak Upreti, Deween Piyasena, Minomi Subapanditha, Neil Savage, Dillon McKenna, Nicholas Mikolajewicz, Chirayu Chokshi, Laura Kuhlmann, Amanda Khoo, Sabra Khalid Salim, Blessing Archibong-Bassey, William Gwynne, Nadeem Murtaza, David Bakhshinyan, Parvez Vora, Chitra Venugopal, Jason Moffat, Thomas Kislinger
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 10, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/58fa9edb89474cc79d6aba282cfc533f
Publikováno v:
Agronomy, Vol 12, Iss 11, p 2900 (2022)
Globally, croplands represent a significant contributor to climate change, through both greenhouse gas emissions and land use changes associated with cropland expansion. They also represent locations with significant potential to contribute to mitiga
Externí odkaz:
https://doaj.org/article/d8e9e655cbfe4e3d9d9f62c6b5686e50
Autor:
Deepak Upreti, David Bakhshinyan, Darin Bloemberg, Parvez Vora, Chitra Venugopal, Sheila K. Singh
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
Mortality rates in patients diagnosed with central nervous system (CNS) tumors, originating in the brain or spinal cord, continue to remain high despite the advances in multimodal treatment regimens, including surgery, radiation, and chemotherapy. Re
Externí odkaz:
https://doaj.org/article/998c6060224d48a096f7d3f043267a18
Autor:
Stefano Pignatti, Raffaele Casa, Giovanni Laneve, Zhenhai Li, Linyi Liu, Pablo Marzialetti, Nada Mzid, Simone Pascucci, Paolo Cosmo Silvestro, Massimo Tolomio, Deepak Upreti, Hao Yang, Guijun Yang, Wenjiang Huang
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2889 (2021)
Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential to develop more sustainable management practices in agricultural systems. Within this context, this paper presents the results of
Externí odkaz:
https://doaj.org/article/4b8734d90d294cb9b9a65eb26068c2ef
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 3, p 1118 (2021)
Dendritic cells (DC) connect the innate and adaptive arms of the immune system and carry out numerous roles that are significant in the context of viral disease. Their functions include the control of inflammatory responses, the promotion of toleranc
Externí odkaz:
https://doaj.org/article/6327c7b66d5e4f5383d7b6880ad24bf6
Publikováno v:
Nepal Journal of Biotechnology, Vol 3, Iss 1, Pp 2-5 (2015)
In this study, the effect of applying nutrient limitation on the production of Poly-hydro-oxy-butyric acid (PHB) from soil bacteria was examined. PHB is a biodegradable polymer which provides a reserve of carbon and energy. PHB was extracted by chlor
Externí odkaz:
https://doaj.org/article/3086a3f2a21e45c08771f4f0faae65a5
Autor:
Deepak Upreti, Stefano Pignatti, Simone Pascucci, Massimo Tolomio, Wenjiang Huang, Raffaele Casa
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2666 (2020)
Crop growth models play an important role in agriculture management, allowing, for example, the spatialized estimation of crop yield information. However, crop model parameter calibration is a mandatory step for their application. The present work fo
Externí odkaz:
https://doaj.org/article/0bbdef987a974437b87004af707c27dd
Autor:
Deepak Upreti, Stefano Pignatti, Simone Pascucci, Massimo Tolomio, Zhenhai Li, Wenjiang Huang, Raffaele Casa
Publikováno v:
Agronomy, Vol 10, Iss 4, p 607 (2020)
The present work reports the global sensitivity analysis of the Aquacrop Open Source (AOS) model, which is the open-source version of the original Aquacrop model developed by the Food and Agriculture Organization (FAO). Analysis for identifying the m
Externí odkaz:
https://doaj.org/article/5e47b81e3b494d1f95060d53b1f070c0
Autor:
Deepak Upreti, Wenjiang Huang, Weiping Kong, Simone Pascucci, Stefano Pignatti, Xianfeng Zhou, Huichun Ye, Raffaele Casa
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 481 (2019)
This study focuses on the comparison of hybrid methods of estimation of biophysical variables such as leaf area index (LAI), leaf chlorophyll content (LCC), fraction of absorbed photosynthetically active radiation (FAPAR), fraction of vegetation cove
Externí odkaz:
https://doaj.org/article/d29152a67dc94c6aafaca1d56423ad5b
Publikováno v:
Nepal Journal of Biotechnology, Vol 3, Iss 1 (2015)
Externí odkaz:
https://doaj.org/article/019d3e1c4eb042c69a0fc36bc470be66