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The goal is to provide a sufficiently nuanced categorization scheme to allow researchers to accurately describe the evolution of a research program.
Mapping the evolution of a research community, including the most frequently addressed problems, the strategies selected to propose solution for them, the venues on which results observed from applying these strategies are published, and the collaboration among distinct groups may provide lessons on actions that can positively influence the growth of research in a given field.
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This, inter alia, will allow them to better present their own achievements, as well as to better understand the state and the evolution of a certain research field.
Health monitoring using biomedical sensors has witnessed significant attention in recent past due to the evolution of a new research area in sensor network known as Wireless Body Area Networks (WBANs).
The SARM approach and its extensions are presented here in context to introduce different types of applications and provide an example for the evolution of a computational methodology in pharmaceutical research.
ANCOVA: Analysis of covariance; ANOVA: Analysis of variance; CCM: Chronic care model; CD: Chronic diseases; CDPM: Chronic diseases prevention and management; COPD: Chronic obstructive pulmonary disease; CVD: Cardiovascular disease; FG: Focus groups; II: Individual interviews; PRECISE: Program of research on the evolution of a cohort investigating health system effects.
The evolution of the research program seems to reflect an evolving understanding of the problem, a greater appreciation for nuances and context, and the consolidation of the numerous relationships that must be in place for the purposes of credibility.
By considering the evolution of domotic research and projects, we advocate a role for Web services in the domestic network.
From the perspective of dynamic co-words network, for the first time this paper provide a unique flavored critical review on the evolution of the research topic system (RTS) of soil heavy metal pollution bioremediation (SHMPB).
The results presented in a set of tables and graphs illustrate the evolution of micromorphological research during the 20th century.
The results of this first-ever such study of its kind show that the scientometric analysis has a great potential to gain valuable insights into the evolution of the research on the production of bioenergy from biomass.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com