Results 31 to 40 of about 2,401,738 (170)
Evaluation of CMIP6 HighResMIP models in Simulating Precipitation over Tibetan Plateau
High Resolution Model Intercomparison Project (HighResMIP) from the Coupled Model Intercomparison Project 6 (CMIP6), for the first time, provides global high-resolution (25—50 km) multi-model ensemble simulations.
Yujia XIAO, Jian LI, Nina LI
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Evaluating Automatic Model Selection [PDF]
We outline a range of criteria for evaluating model selection approaches that have been used in the literature. Focusing on three key criteria, we evaluate automatically selecting the relevant variables in an econometric model from a large candidate set.
Jennifer Castle +2 more
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Immune inflammation is one of the main factors in the pathogenesis of depression. It is an effective and active way to find more safe and effective anti-inflammatory depressant drugs from plant drugs. The purpose of this study is to explore the potential
Dan Su +10 more
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In this article an evaluation of two semi-analytical techniques is carried out, considering the quality and accuracy of these techniques in reproducing the ground-level concentration values of passive pollutant released from low and high sources.
Jonas C. Carvalho, Davidson M. Moreira
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One of the weaknesses of current line-source models for predicting downwind concentrations from mobile sources is accounting for the dispersion of effluents.
Saisantosh Vamshi Harsha Madiraju +1 more
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Evaluation of Models of Parkinson's Disease [PDF]
Parkinson's disease is one of the most common neurodegenerative diseases. Animal models have contributed a large part to our understanding and therapeutics developed for treatment of PD. There are several more exhaustive reviews of literature that provide the initiated insights into the specific models; however a novel synthesis of the basic advantages
Jagmag, Shail A. +4 more
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Ensemble forecasting systems provide useful insight into the uncertainty in the prediction of the atmosphere. However, most analysis considers ensembles in latitude, longitude, and time.
David L. A. Flack
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Evaluation of Linear Kernel-Driven BRDF Models over Snow-Free Rugged Terrain
Semi-empirical kernel-driven models have been widely used to characterize anisotropic reflectance due to their simple form and physically meaningful approximation.
Wenzhe Zhu +5 more
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Background The precise insertion of large DNA fragments (>3–5 kb) remains one of the key obstacles in establishment of genetically modified murine models.
Susu Liu +12 more
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On evaluating multi-level modeling [PDF]
Multi-Level Modeling is receiving increasing levels of interest and its active research community is continuing to make progress. However, to advance the discipline effectively it is necessary to increase industry adoption and achieve better community cohesion.
Atkinson, Colin, Kühne, Thomas
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