Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yu-Yu Ren"'
Autor:
Yun-Jian Zhan, Guo-Yu Ren, Arun Bhaka Shrestha, Rupak Rajbhandari, Yu-Yu Ren, Jayanarayanan Sanjay, Yan Xu, Xiu-Bao Sun, Qing-Long You, Shu Wang
Publikováno v:
Advances in Climate Change Research, Vol 8, Iss 3, Pp 166-175 (2017)
Based on a new multi-source dataset (GLDP-V1.0) recently developed in China Meteorological Administration, we employed precipitation indices including percentile-based indices of light (below the 50th percentile), moderate (between the 50th and 90th
Externí odkaz:
https://doaj.org/article/7059c92e81504bfb927209756624e2ac
Autor:
Yu-Yu Ren, Guo-Yu Ren, Xiu-Bao Sun, Arun Bhakta Shrestha, Qing-Long You, Yun-Jian Zhan, Rupak Rajbhandari, Pan-Feng Zhang, Kang-Min Wen
Publikováno v:
Advances in Climate Change Research, Vol 8, Iss 3, Pp 148-156 (2017)
In this paper, we analyzed the long-term changes in temperature and precipitation in the Hindu Kush Himalayan (HKH) region based on climate datasets LSAT-V1.1 and CGP1.0 recently developed by the China Meteorological Administration. The analysis resu
Externí odkaz:
https://doaj.org/article/e0c58ecc9e004484ab5f033f1f2eec97
Autor:
Qing-Long You, Guo-Yu Ren, Yu-Qing Zhang, Yu-Yu Ren, Xiu-Bao Sun, Yun-Jian Zhan, Arun Bhakta Shrestha, Raghavan Krishnan
Publikováno v:
Advances in Climate Change Research, Vol 8, Iss 3, Pp 141-147 (2017)
The Hindu Kush Himalayan (HKH hereafter) region is characterized by mountainous environments and a variety of regional climatic conditions. High-altitude regions in the HKH have the recent warming amplifications, especially during the global warming
Externí odkaz:
https://doaj.org/article/caeec30ddb2146d296950fec154dea17
Autor:
Xiu-Bao Sun, Guo-Yu Ren, Arun Bhaka Shrestha, Yu-Yu Ren, Qing-Long You, Yun-Jian Zhan, Yan Xu, Rupak Rajbhandari
Publikováno v:
Advances in Climate Change Research, Vol 8, Iss 3, Pp 157-165 (2017)
This study uses the CMA (China Meteorological Administration) global land-surface daily air temperature dataset V1.0 (GLSATD V1.0) to analyze long-term changes in extreme temperature events over the Hindu Kush Himalaya (HKH) during 1961–2015. Resul
Externí odkaz:
https://doaj.org/article/a290b1c26b074476b115815c00aca852
Autor:
Yu-Yu Ren, Katherine A Overmyer, Nathan R Qi, Mary K Treutelaar, Lori Heckenkamp, Molly Kalahar, Lauren G Koch, Steven L Britton, Charles F Burant, Jun Z Li
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e77588 (2013)
Aerobic capacity is a strong predictor of all-cause mortality and can influence many complex traits. To explore the biological basis underlying this connection, we developed via artificial selection two rat lines that diverge for intrinsic (i.e. inbo
Externí odkaz:
https://doaj.org/article/7b2375c877494977b4e0e82e43c45cef
Publikováno v:
Journal of Plant Growth Regulation. 31:509-518
Previous research shows that gravity-sensing in flax (Linum usitatissimum) root is initiated during seed imbibition and precedes root emergence. In this study we investigated the developmental attenuation of flax root gravitropism post-germination an
Publikováno v:
Journal of Interdisciplinary Mathematics. 13:1-15
Gravitropism is the bending growth of plant organs in response to the gravity stimulus. It is essential in the deployment of an underground root system for water and nutrient acquisition, and an aboveground shoot system for photosynthesis. Quantifyin
Autor:
S. L. Britton, Jun Li, Lauren G. Koch, Yu yu Ren, Mary K. Treutelaar, Charles F. Burant, Nathan Qi
We have previously established two lines of rat for studying the functional basis of aerobic exercise capacity (AEC) and its impact on metabolic health. The two lines, high capacity runners (HCR) and low capacity runners (LCR), have been selectively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67fe893ca0b60933f50272059739115a
https://doi.org/10.1101/032441
https://doi.org/10.1101/032441
Autor:
Mary K. Treutelaar, Jun Li, Steven L. Britton, Yu yu Ren, Nathan Qi, Lauren G. Koch, Charles F. Burant
Intrinsic aerobic exercise capacity can influence many complex traits including obesity and aging. To study this connection we established two rat lines by divergent selection of untrained aerobic capacity. After 32 generations the high capacity runn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69472f349799ca8d808ea0efc9871943
https://doi.org/10.1101/013706
https://doi.org/10.1101/013706
Autor:
Jun Li, Mary K. Treutelaar, Charles F. Burant, Molly Kalahar, Nathan Qi, Katherine A. Overmyer, Steven L. Britton, Lori Heckenkamp, Lauren G. Koch, Yu yu Ren
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e77588 (2013)
PLoS ONE
PLoS ONE
Aerobic capacity is a strong predictor of all-cause mortality and can influence many complex traits. To explore the biological basis underlying this connection, we developed via artificial selection two rat lines that diverge for intrinsic (i.e. inbo