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Introduction to qualitative research and methods in the context of implementation science Program Overview This 2-day program* is for people interested in qualitative research and its application in ...
Data PoliciesData Descriptors, Scientific Data 's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the ...
Objectives To explore women’s experiences of breastfeeding beyond infancy (>1 year). Understanding these experiences, including the motivators, enablers and barriers faced, may help inform future ...
Thematic analysis (one of the most widely used qualitative approach) will be the preferred method for data analysis. This method allows identifying, analysing and reporting patterns within the data.
Localized data. PSA Northern Mindanao underscores the importance of the 2024 Functional Literacy, Education, and Mass Media Survey (FLEMMS) in guiding education and literacy planning across the region ...
In ACS’ Analytical Chemistry, researchers demonstrate a pen-like tool that can quickly and non-invasively collect molecules ...
Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam ...
We are experiencing a shift in how we think about ai data in the world of research and analytics. While automation and advanced instruments have long been available for quantitative data analysis, ...
The method employs a graph neural network to capture spatio-temporal relationships of the sensing data, facilitating accurate estimation of unsensed PoIs. Through extensive simulations, our approaches ...
Occupants' comfort perception about the indoor environment is closely linked to their health, wellbeing and productivity. Improvement of comfort level in office buildings has significant positive ...
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