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Peripheral arterial disease (PAD) is an occlusive atherosclerotic disease that affects blood vessels and reduces blood flow in the lower limbs. It is estimated that around 200 million people worldwide suffered from it, with a significant number of older people affected. Walking is one of the first-line therapeutic measures for intermittent claudication (IC) in patients with PAD. Supervised Exercise Therapy (SET) programs effectively increase walking distances, however, remain an underutilized tool because they are not readily available in most clinical centres, are extremely expensive, and patient participation is low mainly due to socioeconomic constraints. Home-based Exercise Therapy (HBET) programs are an effective and low-cost alternative to improve both the functional capacity and quality of life (QoL) of patients with IC, as they are performed in the patient’s area of residence and not in the hospital. The WalkingPad program conciliated a smartphone app – the WalkingPad app – with behaviour change intervention to increase walking distances and decrease walking impairment as well to improve QoL at 6 months.

This chapter provides preliminary evidence to show that financial accounting students would use generative artificial intelligence (AI) tools to improve their learning if given the opportunity to do so by their instructors. Most students who completed the exercises we used in the study did so diligently and modified their answers after using a generative AI tool in a manner that suggests beneficial effects. It appears that the more prior knowledge a student had about the subject matter, the more beneficial was the experience. Pitfalls still exist, however. For example, students without knowledge of the subject matter struggled with crafting queries and judging the efficacy of their answers. Moreover, although a minority, some students tended to duplicate their original answers without utilizing the responses generated by the generative AI tool. Additionally, certain students merely copied the answers generated by the AI tool without providing any additional critique or analysis. Implications for teaching and learning and opportunities for future research are discussed.

Using an ecological model of child participation and drawing on newsletter data from schools across the United States of America (USA), this chapter statistically explores five state factors linked with school protests against gun violence: (1) children’s neighbourhood opportunity; (2) race/ethnicity; (3) voter preference for either a Republican or a Democratic president; (4) child participation policies; and (5) gun laws/violence/ownership. The chapter explores factors linked to both student participation in protests and student nonparticipation in protests that take place at their schools. Three factors were found to be associated with participation and nonparticipation: children’s neighbourhood opportunity, voters’ preference, and participation policies. Findings suggest that Democratic-voting states, mediated by education opportunity, predict the frequency of student protests against gun violence. In Republican-voting states, where education opportunity does not mediate the frequency of school protests, students still organised and participated in protests but to a lesser extent. In addition, states with high overall children’s neighbourhood opportunity and voting student education board members are highly likely to have non-protesting students in schools with protests. The chapter presents five conclusions from these results for the positive and negative exercise of child participation rights and considers what further multilevel explorations can be done to further test the framework employed for this analysis.

A growing body of research finds that gig economy platforms use gamification to enhance managerial control. Focusing on technologically mediated forms of gamification, this literature reveals how platforms mobilize gig workers’ work effort by making the labour process resemble a game. This chapter contends that this tech-centric scholarship fails to fully capture the historical continuities between contemporary and much older occurrences of game-playing at work. Informed by interviews and participatory observations at two food delivery platforms in Amsterdam, I document how these platforms’ piece wage system gives rise to a workplace dynamic in which severely underpaid delivery couriers continuously employ game strategies to maximize their gig income. Reminiscent of observations from the early shop floor ethnographies of the manufacturing industry, I show that the game of gig income maximization operates as an indirect modality of control by (re)aligning the interests of couriers with the interests of capital and by individualizing and depoliticizing couriers’ overall low wage level. I argue that the new, algorithmic technologies expand and intensify the much older forms of gamified control by infusing the organizational activities of shift and task allocation with the logic of the piece wage game and by increasing the possibilities for interaction, direct feedback and immersion. My study contributes to the literature on gamification in the gig economy by interweaving it with the classic observations derived from the manufacturing industry and by developing a conceptualization of gamification in which both capital and labour exercise agency.

Many in Generation Z are concerned about health, nutrition, and lifestyle. They are sensitive to the social determinants of health, represented through concerns about access to health care, viable and affordable housing, poverty, and unemployment. They are also concerned about food choices, their environmental footprint, and the way food is produced. There is similarly high awareness about the importance of nutrition for health. Despite engaging in physical exercise, Generation Z is also exposed to the risks associated with obesity and sedentary lifestyle.

Healthy and adaptive strategies for regulating emotions and coping with the demands of their jobs can help school-level leaders mitigate the factors and forces heightening the emotional aspects of their work, stave off the negative effects of work intensification and achieve wellness. As with most individuals in most professions, school-level leaders use several different strategies to manage their emotions and cope with the stresses associated with their work. Some of these coping strategies are associated with positive outcomes including situation selection and exercising autonomy over their workday, talking to colleagues, reappraisal, humour, controlled breathing, exercise and engaging in hobbies outside of work. However, even the most experienced and effective school-level leaders demonstrate a proclivity for engaging in coping strategies associated with maladaptive and negative outcomes. These maladaptive strategies include worrying about events over which they have little or no control, masking one's emotions using expressive suppression, using thought suppression to deal with symptoms of emotional exhaustion, distraction, manipulating the emotions of others as well as use of illegal or prescription drugs, alcohol and other forms of self-medication. This chapter concludes with a discussion of how there can be some overlap between these strategies in practice and how they are classified.