Abstract

Abstract
Healthcare centers are ideal settings to identify and motivate parents to adhere to healthier lifestyles in order to reverse their child's excessive weight. However, such promotions are time- and resource-consuming, and primary health care needs new approaches to engage parents. In this article, we present an app for that purpose, with tailored recommendations for parents regarding young children's lifestyles (eating, drinking, moving, and sleeping habits) with gamification mechanics for parents, and a serious game for their children, aged 3-6 years. Healthcare center based questionnaires were used to assess parent's acceptance of the app. We also determined their enrollment and retention rates with a pilot study, in order to test the implementation of a randomized controlled trial (RCT) in the future (pilot trial registration: ClinicalTrials.gov NCT03881280). In the pilot study, we tested their engagement with the app during a four-week period through a monitoring website. In the acceptance test (n = 13), parents rated the app a median score of seven on a ten-point scale. In the pilot study (n = 21), all parents in the intervention group used the app. The retention rate was 71.4%. This study indicated some areas of improvement related to gaming mechanics in order to increase participation. Healthcare center's professionals and parents of children with overweight/obesity accepted this innovative approach. In addition, it is feasible to test its impact on children's lifestyle by conducting an RCT in the future.

Abstract
Senior entrepreneurship is getting increasing prominence in research, academia, and business. Given the demographic shifts occurring in Western Europe, it is also becoming a nuclear topic of interest for policymakers. Still, existing literature overlooked the emergent trend encompassing older individuals which, with different leitmotifs, starting-up new enterprises after decades as employees. In doing so, they convey formal and informal knowledge, networks, experience, savoir faire, and financial endowments, nurtured along the years, which is an evident advantage compared to the younger counterparts. Due to the raising number of negative experiences in the job market, either in getting or maintaining a position, senior workers look up for alternatives. Sometimes being pushed by necessity, other times pulled by opportunity identification and independence, seniors are increasingly making their best to overcome unsatisfying or insufficient conditions as employees. Enhancing entrepreneurial initiative across older individuals is urgent for policy makers due to the need to find occupation for an aging population and their contribution to income generation, at the same time, social and human capital will be leveraged, multiplying the effects of other policy actions such as education. Using the GEM database, this article aims to offer an overview on the role of age in entrepreneurial intention and its nature, addressing the nonlinearities of the effect. This new methodological framework can be used as a basis for future empirical research on the topic of senior entrepreneurship; additionally, it aims contributing to a better understanding of the role of age in shifting the individual reasons for starting a business, controlling for other individual characteristics. The identification of the particular features of the different age cohorts along with gender, education, social context or macro-economic contexts will shed some light on the specific policy packages needed to reinforce the entrepreneurial initiative as a vehicle to promote sustainable and inclusive growth along the European Countries.

Abstract

Abstract
This paper presents a study on the impact of adjacent markets on the electricity market, realizing the advantages of acting in several different markets. The increased use of renewable primary sources to generate electricity and new usages of electricity such as electric mobility are contributing to a better and more rational way of living. The investment in renewable technologies for the distributed generation has been creating new opportunities for owners of such technologies. Besides the selling of electricity and related services (ancillary services) in energy markets, players can participate and negotiate in other markets, such as the carbon/CO2 market, the guarantees of origin market, or provide district heating services selling of steam and hot water among others. These market mechanisms are related to the energy market, originating a wide market strategy improving the benefits of using distributed generators. This paper describes several adjacent markets and how do they complement the electricity market. The paper also shows how the simulation of electricity and adjacent markets can be performed, using an electricity market simulator, and demonstrates, based on market simulations using real data from the Iberian market, that the participation in various complementary markets can enable power producers to obtain extra profits that are essential to cover the production costs and facilities maintenance. The findings of this paper enhance the advantages for investment on energy production based renewable sources and more efficient technologies of energy conversion.

Abstract
Hybrid micro-grid systems (HMGS) are gaining increasing attention worldwide. The balance between electricity load and generation based on fluctuating renewable energy sources is a main challenge in the operation and design of HMGS. Battery energy storage systems are considered essential components for integrating high shares of renewable energy into a HMGS. Currently, there are very few studies in the field of mathematical optimisation and multi-criteria decision analysis that focus on the evaluation of different battery technologies and their impact on the HMGS design. The model proposed in this paper aims at optimising three different criteria: minimising electricity costs, reducing the loss of load probability, and maximising the use of locally available renewable energy. The model is applied in a case study in southern Germany. The optimisation is carried out using the C-DEEPSO algorithm. Its results are used as input for an AHP-TOPSIS model to identify the most suitable alternative out of five different battery technologies using expert weights. Lithium batteries are considered the best solution with regard to the given group preferences and the optimisation results.