NAct: The Nutrition & Activity Ontology for Healthy Living

This paper presents the NAct (Nutrition & Activity) Ontology, designed to drive personalised nutritional and physical activity recommendations and effectively support healthy living, through a reasoning-based AI decision support system. NAct coalesces nutritional, medical, behavioural and lifestyle indicators with potential dietary and physical activity directives. The paper presents the first version of the ontology, including its co-design and engineering methodology, along with usage examples in supporting healthy nutritional and physical activity choices. Lastly, the plan for future improvements and extensions is discussed.

Using Probability Distributions for Projecting Changes in Travel Behavior

Mobility is a must for human life on this planet, because important activities like working or shopping cannot be done from home for everyone. Present modes of transports contributes significantly to green house gas emissions while the efforts to reduce these emissions can be improved in many countries. Pathways to a more sustainable form of mobility can be modelled using travel demand models to aid decision makers. However, to project human behavior into the future one should analyze the changes in the past to understand the drivers in mobility change. Mobility surveys provide sets of activity diaries, which show changes in travel behavior over time. Those activity diaries are one of the inputs in activity-based demand generation models like travel activity pattern simulation (TAPAS). This paper shows a method of using probability distributions between person and diary groups. It offers an opportunity for an increased heterogeneity in travel behavior without sacrificing too much accuracy. Additionally it will present the use case of temporal back- and forecasting of changes in activity choices of existing mobility survey data. The results show the possibilities within this approach together with its limits and pitfalls.

Modeling Activity-Time to Build Realistic Plannings in Population Synthesis in a Suburban Area

In their daily activity planning, travelers always considers time and space constraints such as working or education hours and distances to facilities that can restrict the location and time-of-day choices of other activities. In the field of population synthesis, current demand models lack dynamic consistency and often fail to capture the angle of activity choices at different times of the day. This article presents a method for synthetic population generation with a focus on activity-time choice. Activity-time choice consists mainly in the activity’s starting time and its duration, and we consider daily planning with some mandatory home-based activity: the chain of other subsequent activities a traveler can participate in depends on their possible end-time and duration as well as the travel distance from one another and opening hours of commodities. We are interested in a suburban area with sparse data available on population, where a discrete choice model based on utilities cannot be implemented due to the lack of microeconomic data. Our method applies activity-hours distributions extracted from the public census, with a limited corpus, to draw the time of a potential next activity based on the end-time of the previous one, predicted travel times, and the successor activities the agent wants to participate in during the day. We show that our method is able to construct plannings for 126k agents over five municipalities, with chains of activity made of work, education, shopping, leisure, restaurant and kindergarten, which fit adequately real-world time distributions.

Pregnancy and Multiple Sclerosis: An Update on the Disease Modifying Treatment Strategy and a Review of Pregnancy’s Impact on Disease Activity

Pregnancy rates are rapidly increasing among women of reproductive age diagnosed with multiple sclerosis (MS). Through pre-conception, pregnancy and post-partum periods, there is a need for disease control management, to decrease chances of MS relapses while avoiding potential risks to the mother and the fetus. However, pregnancy is not always compatible with the available highly effective MS treatments. This narrative review provides the aspects of pregnancy’s outcomes and the impact on disease activity, choices of anesthesia and the management of relapses during the pregnancy and breastfeeding period. Available disease modifying treatment is discussed in the article with new data supporting the strategy of continuing natalizumab after conception, as it is related to a decreased risk of MS relapses during the pregnancy and postpartum period.

“It Fits My Business”

For many years, companies have tried to keep the public as close partners. In this bilateral relationship, financial gains of the companies have raised public views on the distribution of these gains. Likewise, regulations and standards determined by supranational institutions such as the United Nations forced companies to give higher priority on CSR activities. The primary purpose of this research is to explain the relation between CSR activities and the preferability of these activities among companies. Summative content analysis is conducted on data collected from the websites of the top 100 companies in the Turkish BIST 100 Stock Index. Findings show that CSR activity choices differ among industries, and these choices unveil related and unrelated differentiation in CSR activities.

Empowering Teachers With Low-Intensity Strategies to Support Instruction: Implementing Across-Activity Choices During Third-Grade Reading Instruction

Students with and at-risk for academic and behavioral challenges often have low levels of academic engagement. Providing instructional choice is one way to increase engagement in the classroom. In this study, we replicated and extended previous inquiry by investigating the effects of across-activity choices offered by third-grade teachers during reading instruction to participating students with behavioral (one with internalizing and two with internalizing and externalizing patterns) and academic needs. Using a standardized professional development module, teachers learned to implement instructional choice during reading instruction while collecting direct observation data on a student’s academic engagement. Teachers implemented practices with integrity and collected momentary time sampling data for one student in their classroom with high levels of reliability. Results of a withdrawal design indicated a functional relation between the introduction of instructional choice and increases in the academic engagement for the three students. Teachers and students rated the intervention goals, procedures, and outcomes as acceptable. Limitations and future directions are presented.

A Systematic Review of Data Collection Techniques Used to Measure Preschool Children’s Knowledge of and Preference for Physical Activity

Background: Early childhood has been identified as a crucial period in which children develop physical activity preferences and behaviors. Both the knowledge of and preferences for physical activity are key proximal indicators of activity choices in children. Thus, accurate data collection tools are required to measure these variables. This review evaluates the data collection techniques that have been utilised to assess preschool children’s knowledge of and preference for physical activity, and examines the validity and reliability of existing techniques. Methods: A systematic search for relevant studies published from 1980 through to December 2017 was conducted via ProQuest, CINAHL, Embase, Scopus, ERIC, PubMed, MEDLINE, and ScienceDirect. Results: Fourteen studies were eligible for inclusion in the review. The identified studies employed a limited but disparate range of techniques to assess children’s physical activity knowledge and preferences. Findings reveal that four techniques were consistently used across the reviewed studies, including: interviews, structured play-based activities, questionnaires, and observations. Only four out of 14 included studies reported the assessment of the validity of the data collection tool used, and six reported testing the measures for at least one type of reliability. Conclusion: There is a need for validated and reliable measures to assess children’s knowledge of and preference for physical activity. Greater consideration is required to align data collection techniques with the characteristics, needs and abilities of this study population.

Influences on diet and physical activity choices of 11–13-year-olds in a school setting

Objective: This paper uses a qualitative approach to explore the factors that influence diet and physical activity choices of 11–13-year-olds with a particular focus on the impact of the school environment. Design: Qualitative focus groups. Setting: Three purposively sampled secondary schools in Devon, UK. Method: A total of 53 students, aged 11–13, took part in six focus groups. Thematic, framework analysis was used to analyse the data. Result: Four overarching themes emerged: (1) health now and in the future; (2) the role of others; (3) provision, temptation and addiction; and (4) boundaries, strategies and support. Participants demonstrated good knowledge of what constitutes a healthy lifestyle and its importance for future health, although it was not necessarily seen as a priority at this stage of life. Key influences on their choices were their peers and family, although participants also identified that the school environment influences the food choices they make while there. Conclusion: In this study, 11–13-year-olds identified that schools could do more to support them to make healthier food choices. However, future research needs to understand the constraints schools face in terms of food provision in order to highlight possible opportunities for intervention.