Europe PMC (https://europepmc.org) is a database of research articles, including peer reviewed full text articles and abstracts, and preprints - all freely available for use via website, APIs and bulk download. This article outlines new developments since 2017 where work has focussed on three key areas: (i) Europe PMC has added to its core content to include life science preprint abstracts and a special collection of full text of COVID-19-related preprints. Europe PMC is unique as an aggregator of biomedical preprints alongside peer-reviewed articles, with over 180 000 preprints available to search. (ii) Europe PMC has significantly expanded its links to content related to the publications, such as links to Unpaywall, providing wider access to full text, preprint peer-review platforms, all major curated data resources in the life sciences, and experimental protocols. The redesigned Europe PMC website features the PubMed abstract and corresponding PMC full text merged into one article page; there is more evident and user-friendly navigation within articles and to related content, plus a figure browse feature. (iii) The expanded annotations platform offers ∼1.3 billion text mined biological terms and concepts sourced from 10 providers and over 40 global data resources.

No abstract

This research was conducted at PT. Honda Power Products Indonesia, with the aim to determine the effect of distribution channels on sales volume at PT. Honda Power Products Indonesia. This research approach is a quantitative approach with correlational research type. Data were collected by distributing questionnaires to 80 samples. From the calculation and data analysis, the linear regression equation is Y = 13.134 + 0.195 X1 + e. The correlation coefficient obtained is 0.694, which means that the Distribution Channel variable has a strong influence on the Sales Volume variable. While the coefficient of determination obtained is 0.489, or 48.9%. This shows that the distribution channel has an influence of 48.9% on volume, while the remaining 51.1% is influenced by other variables not included in the model or not examined by the author. The results of the t hypothesis test show that the Distribution Channel variable has a positive and significant effect on the Sales Volume variable.

No abstract