Miracle-dz/UniFAR-FTUs huggingface dataset:
Who are the sedentary people in Israel? A public health indicator.

BACKGROUND Increasing physical activity and thereby reducing a sedentary lifestyle can lower the risk of chronic diseases. Raising the population's involvement in physical activity is a major challenge for public health and healthcare services. OBJECTIVES To identify subpopulations with a sedentary lifestyle and low levels of adherence to physical activity recommendations. METHODS The Israel Center for Disease Control performed two national surveys during 2002-2003, interviewing 7,307 Jewish Israelis and 1,826 Arab Israelis over age 21. Respondents were asked if they engaged in physical activity lasting at least 20 consecutive minutes, and if so how frequently: less than once a week, once or twice a week, nearly every day or every day. RESULTS Arab respondents were less physically active than Jewish respondents after adjusting for gender, age, level of religiosity, marital status, education, self-reported health, smoking, body mass index, and type of survey. Multiple logistic regression analysis run separately for Jews and Arabs found a more sedentary lifestyle, in both groups, among women, the less educated, those who were married and those with poor subjective health. Among Jews, younger age, increased religiosity, smoking and high BMI were associated with a sedentary lifestyle. CONCLUSIONS The Jewish population is in need of more targeted and specific interventions for lower adhering subpopulations, such as women, the less educated and those with other risk factors. In the Arab population a more thorough understanding of the benefits of physical activity is needed; however, it seems that a general intervention is required to decrease the prevalence of a sedentary lifestyle all round.
Semantic Zooming for Ontology Graph Visualizations

Visualizations of ontologies, in particular graph visualizations in the form of node-link diagrams, are often used to support ontology development, exploration, verification, and sensemaking. With growing size and complexity of ontology graph visualizations, their represented information tend to become hard to comprehend due to visual clutter and information overload. We present a new approach of semantic zooming for ontology graph visualizations that abstracts and simplifies the underlying graph structure. It separates the comprised information into three layers with discrete levels of detail. The approach is applied to a force-directed graph layout using the VOWL notation. The mental map is preserved by using smart expanding and ordering of elements in the layout. Navigation and sensemaking are supported by local and global exploration methods, halo visualization, and smooth zooming. The results of a user study confirm an increase in readability, visual clarity, and information clarity of ontology graph visualizations enhanced with our semantic zooming approach.