Results 1 to 10 of about 7,875,864 (298)

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, Sun Jian, Shen Xueshun, Su Yong, Ma Zhanshan, Jing Hao, Liu Qijun, Zhang Hongliang, Jiang Qingu, Chen Fengfeng, Li Zhe, Jin Zhiyan, Wu Xiangjun, Liang Miaoling, Liu Kun   +14 more
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, Deng Liantang, Wang Ruichun, Zhuang Zhaorong, Jiang Yuan, Xu Zhifang, Zhu Lijuan, Zhang Jin, Wang Lili, Yu Fei, Sun Qin, Wang Dan, Wang Hao, Zhou Feifei, Xu Guoqiang   +14 more
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Nuclear quantum effects on zeolite proton hopping kinetics explored with machine learning potentials and path integral molecular dynamics

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, Ruben Goeminne, Aran Lamaire, Maarten Cools-Ceuppens, Toon Verstraelen, Veronique Van Speybroeck   +5 more
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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, Maarten Cools-Ceuppens, Simon DeKeyser, Toon Verstraelen, Veronique Van Speybroeck   +4 more
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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, Zhihua Zhang, M. James C. Crabbe, Lipon Chandra Das   +3 more
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One size does not fit all: an application of stochastic modeling to estimating primary healthcare needs in Ethiopia at the sub-national level

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, Rui Han, Kevin A. McCarthy   +2 more
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A research agenda for malaria eradication: modeling.

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
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The risk of type 2 oral polio vaccine use in post-cessation outbreak response

BMC Medicine, 2017
Background Wild type 2 poliovirus was last observed in 1999. The Sabin-strain oral polio vaccine type 2 (OPV2) was critical to eradication, but it is known to revert to a neurovirulent phenotype, causing vaccine-associated paralytic poliomyelitis.
Kevin A. McCarthy, Guillaume Chabot-Couture, Michael Famulare, Hil M. Lyons, Laina D. Mercer   +4 more
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Network meta-analysis of eribulin versus other chemotherapies used as second- or later-line treatment in locally advanced or metastatic breast cancer

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, Rachel Hughes, Binod Neupane, Kristin Mickle, Yun Su, Isabelle Chabot, Marissa Betts, Ananth Kadambi   +7 more
doaj   +1 more source

Reducing malaria burden and accelerating elimination with long-lasting systemic insecticides: a modelling study of three potential use cases

Malaria Journal, 2019
Background While bed nets and insecticide spraying have had significant impact on malaria burden in many endemic regions, outdoor vector feeding and insecticide resistance may ultimately limit their contribution to elimination and control campaigns ...
Prashanth Selvaraj, Joshua Suresh, Edward A. Wenger, Caitlin A. Bever, Jaline Gerardin   +4 more
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