An Evaluation of the COVID-19 Pandemic and Perceived Social Distancing Policies in Relation to Planning, Selecting, and Preparing Healthy Meals: An Observational Study in 38 Countries Worldwide

Objectives: To examine changes in planning, selecting, and preparing healthy foods in relation to personal factors (time, money, stress) and social distancing policies during the COVID-19 crisis. Methods: Using cross-sectional online surveys collected in 38 countries worldwide in April-June 2020 (N = 37,207, Mage 36.7 SD 14.8, 77% women), we compared changes in food literacy behaviors to changes in personal factors and social distancing policies, using hierarchical multiple regression analyses controlling for sociodemographic variables. Results: Increases in planning (4.7 SD 1.3, 4.9 SD 1.3), selecting (3.6 SD 1.7, 3.7 SD 1.7), and preparing (4.6 SD 1.2, 4.7 SD 1.3) healthy foods were found for women and men, and positively related to perceived time availability and stay-at-home policies. Psychological distress was a barrier for women, and an enabler for men. Financial stress was a barrier and enabler depending on various sociodemographic variables (all p < 0.01). Conclusion: Stay-at-home policies and feelings of having more time during COVID-19 seem to have improved food literacy. Stress and other social distancing policies relate to food literacy in more complex ways, highlighting the necessity of a health equity lens. Copyright 2021 De Backer, Teunissen, Cuykx, Decorte, Pabian, Gerritsen, Matthys, Al Sabbah, Van Royen and the Corona Cooking Survey Study Group.This research was funded by the Research Foundation Flanders (G047518N) and Flanders Innovation and Entrepreneurship (HBC.2018.0397). These funding sources had no role in the design of the study, the analysis and interpretation of the data or the writing of, nor the decision to publish the manuscript.Scopu

Data for: Using Multi-Target Feature Evaluation to Discover Factors that Affect Business Process Behavior

The event Log of [B. Van Dongen, Real-life event logs - hospital log, 2011], available at: http://data.4tu.nl/repository/uuid:d9769f3d-0ab0-4fb8-803b-0d1120ffcf54 has been pre-processed (as it is described in §4.1 of the manuscript), and transformed into a case Log

SIRPSS : sustainable industrial site redevelopment planning support system

Abandoned industrial sites should be redeveloped in a sustainable way to reduce waste land. Planning support systems (PSSs) can help in the early planning phase by presenting possible outcomes of various redevelopment scenarios to the planners. This paper presents a PSS to support sustainable industrial site redevelopment decision based on past experiences. Past experiences are recorded as cases in the system. Case-based reasoning (CBR) is applied. For sites needed to be redeveloped, similar redeveloped cases are retrieved from the case library. Strategies that the previous cases have applied are reviewed and the new site is designed based on the comparison study of new case and past experiences, together with the input from planners. Sustainability is dynamically evaluated on site and regional level. A showcase is presented for the system illustration

Interpreting overlaps in business process mapping via organisational soft knowledge flows

Knowledge Management (KM) as the term implies, is broadly about improving knowledge use within an organisation. At a lower level, Business Process Management (BPM) is the set of management activities related to business processes that can ideally be arranged in a life cycle. Social Network Analysis (SNA) is a technique enabling the researcher to better understand interactions between people. Relatively little research has been conducted with regard to the crossover of social networks and workflows, with the aim of examining workflows as management views them, as opposed to the actual social interactions of staff. Improvements in the overlay of management interpretations of work and real social networks could potentially lead to improvements in business process efficacy. In this study SNA diagrams are examined in order to implement executable models and potentially enable automated analysis of workflows. A means of converting SNA data to Business Process workflows is presented and an example provided.14 page(s

Synthetic event logs for multi-perspective trace clustering

The data set contains a set of event logs for evaluating multi-perspective trace clustering approaches in process mining. Event logs were randomly generated from 5 different process models of different complexity levels. The attribute "cluster" refers to the ground truth label. Clusters can only be correctly identified when considering both, the data and the control flow perspective (attributes and trace)