全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Alsiddig Osama , Sufyan Awadelkarim , Amna Ali
来源:[J].BMC Complementary and Alternative Medicine(IF 2.082), 2017, Vol.17 (1)Springer
摘要:Sarcocephalus latifolius is used as a traditional medicine for curing many diseases in Sudan. The main objective of the current study was to determine the antioxidant activity and acetylcholinesterase inhibition (AChEI) of S. latifolius , and to estimate its total phenolic and fl...
作者:Tayyaba Afsar , Suhail Razak , Muhammad Rashid Khan ...
来源:[J].BMC Complementary and Alternative Medicine(IF 2.082), 2017, Vol.17 (1)Springer
摘要:Oxidative stress may link to psychiatric disorders, and is being regarded as a plausible mechanism that can affect the regulation of these illnesses. The present study was undertaken to investigate the antidepressant and anxiolytic potential of A. hydaspica R. parkers. Brain oxid...
作者:Rihab Ben Abdallah Kolsi , Bochra Gargouri , Sameh Sassi ...
来源:[J].Lipids in Health and Disease(IF 2.015), 2017, Vol.16 (1)Springer
摘要:During the last few decades, there has been a growing interest in the search for novel bioactive compounds from marine origins.
作者:Eldiiar Duulatov , Xi Chen , Amobichukwu C. Amanambu ...
来源:[J].Water(IF 0.973), 2019, Vol.11 (5)DOAJ
摘要:... In this paper, four global climate models (GCMs) were used to characterize the spatiotemporal prediction of rainfall erosivity and assess the effect of variations of rainfall erosivity in Central Asia. The GCMs (BCCCSM1-1, IPSLCM5BLR, MIROC5, and MPIESMLR) were statistically...
作者:Muhammad Azmat , Muhammad Uzair Qamar , Shakil Ahmed ...
来源:[J].Water Resources Management(IF 2.259), 2018, Vol.32 (9), pp.3155-3174Springer
摘要:... Major uncertainty sources are General Circulation models (GCMs), post-processing and climate heterogeneity based on catchment characteristics (e.g. scares data and high-altitude). Here we presents the comparisons between different GCMs, statistical downscaling and bias corre...
作者:Rashid Mahmood , Shaofeng JIA
来源:[J].Theoretical and Applied Climatology(IF 1.759), 2017, Vol.130 (3-4), pp.725-734Springer
摘要:... The proposed method was evaluated in the Jhelum River basin for the period 1986–2000, using the observed maximum temperature (Tmax) and minimum temperature (Tmin) of 18 climate stations and the simulated Tmax and Tmin of five global climate models (GCMs) (GFDL-ESM2G, NorES...
作者:Moetasim Ashfaq , Deeksha Rastogi , Rui Mei ...
来源:[J].Climate Dynamics(IF 4.231), 2017, Vol.49 (1-2), pp.193-223Springer
摘要:... There has not been a benchmark effort to decipher the origin of undesired yet virtually invariable unsuccessfulness of general circulation models (GCMs) over this region. This study analyzes a large ensemble of CMIP5 GCMs to show that most of the simulation errors in the...
作者:Fatemeh Karandish , Seyed Saeed Mousavi , Hossein Tabari
来源:[J].Stochastic Environmental Research and Risk Assessment(IF 1.961), 2017, Vol.31 (8), pp.2121-2146Springer
摘要:... Using the outputs of 15 general circulation models (GCMs) under three SRES scenarios of A1B, A2 and B1, the projected annual and seasonal precipitation (P) and cardinal temperatures (T) were analyzed for five climatic zones in Iran. In addition, the probable effects of c...
作者:Ali Ahmadalipour , Arun Rana , Hamid Moradkhani ...
来源:[J].Theoretical and Applied Climatology(IF 1.759), 2017, Vol.128 (1-2), pp.71-87Springer
摘要:... In the present work, we have analyzed performance of 20 different global climate models (GCMs) from Climate Model Intercomparison Project Phase 5 (CMIP5) dataset over the Columbia River Basin (CRB) in the Pacific Northwest USA. We demonstrate a statistical multicriteria appro...
作者:Weidong Xuan , Chong Ma , Lili Kang ...
来源:[J].Theoretical and Applied Climatology(IF 1.759), 2017, Vol.128 (1-2), pp.207-222Springer
摘要:... In this paper, 18 global climate models (GCMs) from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) are evaluated for their ability to simulate regional climate change in Zhejiang Province, Southeast China. Simple graphical approaches and three indices ar...

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