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The identified LCC features are those based on volume, transition, pattern, and (user-defined) surface features.
In that sense these models are of empirical type, aiming at describing the transition pattern and how it is shifted by the covariates, rather than pursuing (semi- mechanistic desemi- mechanisticality between covariates andescriptionn rates as is dofe in the more sophisticausalityel betweenDooren et al. [14].
To provide further insight in pain transition pattern and persistence, different approaches have been used.
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Transition patterns and frequencies were associated with healing time.
This visualization adds value by explicating the transition patterns and highlighting it to visual perception rather than a table matching operation.
Addressing above questions concerning transition patterns and their degree of sustainability, text mining was applied to municipal climate action plans (MCAPs), which are governance instruments in the context of the German Energy Transition.
Maps of transition patterns (and related variables including time, origin/destination attributes, transition volume, etc).
Purposeful examination of this aggregated data will facilitate identification of strengths and gaps in transition patterns and contribute to hypothesis generation concerning attributes of successful (or not) transitions.
This study addressed these two related questions: (1) whether there are differences in service use among groups of older adults defined by residential transition patterns; and (2) which HCBS are associated with which residential transition patterns.
Though, we have not found any study on if transition patterns and persistence of pain are different or similar in different locations, among men and women.
In this study, support rate and confidence rate were used to evaluate which were the relatively frequent transition patterns and which status increased most, respectively.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com