Despite their potential benefits, the integration of DNTs into care settings remains complex due to multiple factors influencing their implementation and adoption. Objective: We aimed to examine ...

ABSTRACT: With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two principal energy replenishment modes, and differences in consumer ...

"/home/anotario/anaconda2/envs/EI_python36/lib/python3.6/site-packages/gensim/models/phrases.py:598: UserWarning: For a faster implementation, use the gensim.models ...

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aCentre for Quality and Patient Safety Research, Institute for Health Transformation, Office of the Executive Dean Health, Faculty of Health, Deakin University, Victoria, Australia bInstitute for ...

We therefore argue for an expanded power lens in implementation science—one that brings into view the multiple and intersecting forms of power that shape what gets implemented, by whom, and for whose ...

LDA topic modeling was applied to identify latent topics within the text data, and topic evolution was examined during four peak months of the Search Index. Results: Four major Search Index peaks were ...

While this remains to be rigorously tested, the scikit-learn implementation of Latent Dirichlet Allocation is, in the unanimous experience of topic modelling scholars, outperformed by Gibbs-Sampling ...

Topic modelling refers to a popular set of techniques used to discover hidden topics that occur in a collection of documents. These topics can, for example, be used to categorize documents or label ...