Chronic illnesses, such as epilepsy, have been shown to have detrimental effects on both psychological adjustment and coping behaviour. Using the process model of coping, these effects were investigated in a patient group of 36, 16-21 year olds with epilepsy and a control group of 31 of their peers. Participants completed a postal questionnaire containing measures of psychological adjustment (self-esteem, affect, self-efficacy) and an adolescent coping questionnaire. Comparison of the two groups showed that the patient group exhibited significantly more non-productive coping than the control group. The control group exhibited significantly more problem solving coping and displayed significantly more problem solving bias than the patient group. No significant differences were found between the patient and control group on measures of psychological adjustment. However, psychological adjustment was found to be associated with coping response in the patient but not the control group.

Purpose: The purpose of this study was to determine how the readiness of infrastructure at tourist destinations in achieving sustainable tourism development in Bangka Belitung Islands, Indonesia. Research methods: The method used in this study is the IPA (Importance Performance Analysis) which is used to measure a person's level of satisfaction with the performance of others. The sample used in this study were 400 samples. Results and discussions: The results showed that the development of infrastructure at tourist destinations in the province of Bangka Belitung the main concern is the health facilities, security facilities, educational facilities and playing, the information center or the sale and handling of waste or garbage while the infrastructure is perceived less important and the level of satisfaction is at lower level, namely the availability of public transportation, bus stops, hotel/resort, souvenir shop/souvenirs, minimart, ATM/money changer as well as cultural and arts facilities, sports facilities, disable facilities, and lockers. Conclusion: That the development of infrastructure at district/ town is located on the main priorities and strengthening the necessary infrastructure and development in order to satisfy the future be tourist infrastructure.

With student and staff wellbeing a growing concern, several authors have asked whether existing data might help institutions provide better support. By analogy with the established field of Learning Analytics, this might involve identifying causes of stress, improving access to information for those who need it, suggesting options, providing rapid feedback, even early warning of problems. But just investigating the possibility of such uses can create significant risks for individuals: feelings of creepiness or surveillance making wellbeing worse, inappropriate data visibility destroying trust, assessments or interventions becoming self-fulfilling prophecies. To help institutions decide whether and how to explore this area, and to reassure individuals that this is being done safely, we propose a Wellbeing Analytics Code of Practice. This starts from an existing Learning Analytics Code, confirms that its concerns and mitigations remain relevant, and adds additional safeguards and tools for the wellbeing context. These are derived from a detailed analysis of European and UK data protection law, extracting all rules and safeguards mentioned in relation to health data. We also develop context-specific tools for managing risk and evaluating data sources. Early feedback suggests that these documents will indeed increase confidence that this important area can be safely explored.

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