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BERTopic: Neural topic modeling with a class-based TF-IDF procedure [PDF]
Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task.
M. Grootendorst
semanticscholar +1 more source
Key Model Technologies of CMA-GFS V4.0 and Application to Operational Forecast
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
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Key Technologies of CMA-MESO and Application to Operational Forecast
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
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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
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Machine learning potentials for metal-organic frameworks using an incremental learning approach
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
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Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
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
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fairseq: A Fast, Extensible Toolkit for Sequence Modeling [PDF]
fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. The toolkit is based on PyTorch and supports distributed
Myle Ott+7 more
semanticscholar +1 more source
A research agenda for malaria eradication: modeling.
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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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
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The risk of type 2 oral polio vaccine use in post-cessation outbreak response
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+4 more
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