Results 1 to 10 of about 12,063,985 (329)
Key Model Technologies of CMA-GFS V4.0 and Application to Operational Forecast
应用气象学报, 2023 To address problems including underestimation of heavy precipitation, rapid decay of synoptic systems and low computational efficiency in operational forecast of CMA-GFS V3.3, some key technologies related to physics and dynamics of the model are ...
Zhang Jin +14 more
doaj +1 more source
A research agenda for malaria eradication: modeling. [PDF]
PLoS Medicine, 2011 Malaria modeling can inform policy and guide research for malaria elimination and eradication from local implementation to global policy. A research and development agenda for malaria modeling is proposed, to support operations and to enhance the broader
malERA Consultative Group on Modeling
doaj +1 more source
Key Technologies of CMA-MESO and Application to Operational Forecast
应用气象学报, 2022 To meet the requirement of numerical weather prediction for local severe convective weather, especially disastrous weather and extreme weather events, based on GRAPES-MESO 10 km system, many works have been completed, which include improving the ...
Huang Liping +14 more
doaj +1 more source
Modeling modeling modeling [PDF]
Software & Systems Modeling, 2010 Model-driven engineering and model-based approaches have permeated all branches of software engineering to the point that it seems that we are using models, as Molière's Monsieur Jourdain was using prose, without knowing it. At the heart of modeling, there is a relation that we establish to represent something by something else. In this paper we review
Muller, Pierre-Alain +3 more
openaire +5 more sources
Nature Communications, 2023 The quantum properties of hydrogen atoms in zeolite-catalyzed reactions are generally neglected due to high computational costs. Here, the authors leverage machine learning to derive accurate quantum kinetics for proton transfer reactions in ...
Massimo Bocus +5 more
doaj +1 more source
Machine learning potentials for metal-organic frameworks using an incremental learning approach
npj Computational Materials, 2023 Computational modeling of physical processes in metal-organic frameworks (MOFs) is highly challenging due to the presence of spatial heterogeneities and complex operating conditions which affect their behavior.
Sander Vandenhaute +4 more
doaj +1 more source
Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
Advances in Meteorology, 2022 The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu +3 more
doaj +1 more source
Modeling Model Uncertainty [PDF]
Journal of the European Economic Association, 2002 Recently there has been a great deal of interest in studying monetary policy under model uncertainty. We develop new methods to analyze different sources of uncertainty in one coherent structure, which is useful for policy decisions. We show how to estimate the size of the uncertainty based on time series data, and how to incorporate this uncertainty ...
Onatski, Alexei, Williams, Noah
openaire +6 more sources
BMC Health Services Research, 2023 Background Primary healthcare systems require adequate staffing to meet the needs of their local population. Guidelines typically use population ratio targets for healthcare workers, such as Ethiopia’s goal of two health extension workers for every five ...
Brittany L. Hagedorn +2 more
doaj +1 more source
BMC Cancer, 2021 Background Eribulin mesylate (ERI; Halaven®) is a microtubule inhibitor approved in the United States for metastatic breast cancer patients with at least two prior chemotherapy regimens for metastatic breast cancer, and in the European Union in locally ...
Qi Zhao +7 more
doaj +1 more source