Background: The aim of the study was to address the working population with an occupational stress prevention program using mHealth solution and encourage healthy lifestyle choices.Methods: 16 participants were randomized from the corporate setting. A 24alife app with a good compliance program was selected. Test battery has been designed to test the physical readiness, psychological state of stress and to assess biological blood markers for stress. Participants were followed up after 30, 60 and 90 days, respectively, within the intervention period. Blood pressure and weight were tracked 3 times per month. At least once a week, but on average 6 times per month, participants also led the food diary. Univariate analysis compared the continuous variables by Student's t-test for the data that were normally distributed, or Wilcoxon rank sum test for abnormal distribution of variables.Results: Participants used the app with a compliance rate of 100%. The psychological evaluation revealed higher motivation for work, lower burnout scores and participants gave subjective responses of better general wellbeing. Some of the participants lost up to 4 kg of body mass. Physical readiness has significantly improved.Conclusions: Results of mHealth projects on corporate could include primary health care institutions and health ministry to extend the existing system to patients’ pockets where they can monitor their disease and increase the ability of self-care.

Male Eurasian jays were previously reported to alter their food-sharing response in line with the specific satiety of their female partner. Here, we tested the flexibility of the same males’ food-sharing behavior by testing whether they can process information from contextual cues that predict the opposite pattern of food shared to that observed in previous studies. In Experiment 1, we manipulated the amount of food eaten by the females in a choice context before males shared with them. In Experiment 2, we manipulated the identity of the non-chosen food that was available in a choice context before males shared with the females. In both experiments, males showed flexibility in their sharing pattern in a comparison between the experimental and control conditions. In Experiment 1, this observed pattern appears to be based on the males’ response to the amount of food eaten by the female, and in Experiment 2, it appears to be based on the males’ response to the choice context in which the female’s eating took place. Although the experimental conditions in Experiments 1 and 2 were conceptual replications, the predicted pattern of food shared by the males was detected only in the latter. While replications are needed to test the generalizability and robustness of these results, the current study provides a first set of data in line with the hypothesis that the Eurasian jay males may be able to flexibly adjust their food-sharing behavior to contextual cues. Raw data are available at 10.5281/zenodo.3633986, and code and meta-data are available at https://osf.io/n9rcd/.

This paper explores ethno-villages in Bosnia and Herzegovina as an important element of rural and cultural tourism. The attractiveness of natural and cultural heritage is very important for sustainable rural tourism development. In order to improve the process of decision making to enable the sustainable development of ethno-villages, a multi-criteria assessment model has been developed. The methodology is based on qualitative modeling using a multi-criteria analysis via the DEXi software. The model is based on hierarchical relations consisting of three main criteria that are the basis of sustainable tourism development: economic, social, and environmental criteria. The ultimate goal of the model in this study was to evaluate ethno-villages, namely six ethno-villages in Bosnia and Herzegovina. The results of the study show how ethno-villages contribute to sustainable development.

BACKGROUND/AIMS With the growing popularity of water polo across the world, there has been rising awareness of the risks for orofacial injures in water polo. The aim of this study was to evaluate knowledge and attitudes of water polo coaches regarding dental trauma, dental emergency procedures and awareness about prevention of such injuries. MATERIALS AND METHODS A specific questionnaire comprising 25 questions regarding knowledge, experiences and behaviors following dental trauma was distributed to 62 water polo coaches during the license renewal seminar held by the Croatian Water Polo Federation, in February 2018 in Split, Croatia. Chi-square with Yates correction when necessary, and Fisher's exact tests were used in statistical analysis, and the results were considered statistically significant when P < 0.05. RESULTS There were 51 water polo coaches who participated in this study. Their ages ranged from 19 to 60 years. Most of the coaches (90.2%) have seen a dental injury in their players during their coaching careers. Concerning the procedure with handling an avulsed tooth, there were 68.6% coaches who would maintain the avulsed tooth in a handkerchief or gauze along with four coaches (7.8%) who would rinse the avulsed tooth under water and wrap it in a handkerchief or gauze afterwards. Only one participant (2%) would maintain the avulsed tooth in saline solution before its replantation. None of the coaches would use milk for maintaining the avulsed tooth. Only seven coaches (13.7%) have previously had education about sports-related dental injuries, dental emergency procedures and prevention of such injuries. CONCLUSIONS The results of this study demonstrated poor level of knowledge of water polo coaches about dental injuries and dental emergency procedures. Their knowledge and attitudes could be improved by educational programs on dental injuries and dental emergency procedures, as well as sports-related dental injuries management.

The need for heating and cooling in traditional housing is becoming increasingly disadvantageous regarding high energy costs. But what is more concerning is the impact on our environment. The main goal of this paper is studying the prospects of using renewable energy for heating and cooling houses through an integrated bio-solar system in order to solve the energy scarcity problem. For this purpose, a simulation model for a bio-solar house made from different materials (walls made of bricks with straw bales and a roof made of concrete with straw bales) was developed successively in accordance with the energy balance and renewable energies such as biogas and solar energy were applied. This approach enabled an enhancement of the main factors affecting the performance of a building in terms of saving energy. The model was able to predict the energy requirements for heating and cooling of houses, the energy gained by a solar collector and by a biogas digester as well as the energy requirement for heating the biogas digester. Also, the purpose of this paper is to validate this developed simulation model by measuring energy requirements for heating of houses and solar radiation for solar collectors. The model is a simulation model for the bio-solar house with its three main parts—a straw house, a solar collector and a biogas digester. This paper demonstrates the values of the performed measurements and compares them to the theoretical, predicted values. The comparison indicates that the predicted energy requirements for the heating of buildings were a close approximation to the measured values. Another relevant deduction of the validation was the fact that the solar collector delivered the highest heat gain on 21st of June.

Instead of the commonly used chemical doping, it can be more favorable to consider transforming graphene through proximity effects by carefully choosing its adjacent regions. While gate-tunable room-temperature spin-dependent properties could be induced in graphene by magnetic proximity effects from common metallic ferromagnets, this approach is complicated by chemical bonding between a metal and graphene suggesting the need for an intervening buffer layer. However, even with a buffer layer there is still a large energy shift of the Dirac cone in graphene away from the Fermi level. Compared to such a large negative shift and its resulting $n$-doping when graphene is separated from cobalt by a monolayer h-BN or another layer of graphene, we show that it can be favorable to instead separate graphene by a monolayer of gold or platinum. The resulting proximity induced magnetization is larger, energy shift is somewhat reduced and changes its sign, offering a path for proximity-induced spin polarization in graphene which can be tuned at smaller gate-controlled electric field than for the h-BN buffer layer.

The application of different evaluation approaches in logistics requires considering many factors with different significance for making the final decision. Multi-criteria decision-making (MCDM) methods are often applied in logistics to create different strategies and evaluations. In this paper, research has been carried out in a transport system of an international transport company. An MCDM model has been created for the purpose of human resource evaluation, on which the overall efficiency of the company depends. A total of 23 drivers were evaluated on the basis of five crucial criteria in order to increase employees’ motivation through their periodic remuneration. The Full Consistency Method (FUCOM) was applied to determine the significance of the criteria, while the evaluation of potential solutions was performed using Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). After the results had been obtained, the created model was validated throughout comparisons with seven other MCDM methods.

Inherited retinal diseases cause severe visual deficits in children. They are classified in outer and inner retina diseases, and often cause blindness in childhood. The diagnosis for this type of illness is challenging, given the wide range of clinical and genetic causes (with over 200 causative genes). It is routinely based on a complex pattern of clinical tests, including invasive ones, not always appropriate for infants or young children. A different approach is thus needed, that exploits Chromatic Pupillometry, a technique increasingly used to assess outer and inner retina functions. This paper presents a novel Clinical Decision Support System (CDSS), based on Machine Learning using Chromatic Pupillometry in order to support diagnosis of Inherited retinal diseases in pediatric subjects. An approach that combines hardware and software is proposed: a dedicated medical equipment (pupillometer) is used with a purposely designed custom machine learning decision support system. Two distinct Support Vector Machines (SVMs), one for each eye, classify the features extracted from the pupillometric data. The designed CDSS has been used for diagnosis of Retinitis Pigmentosa in pediatric subjects. The results, obtained by combining the two SVMs in an ensemble model, show satisfactory performance of the system, that achieved 0.846 accuracy, 0.937 sensitivity and 0.786 specificity. This is the first study that applies machine learning to pupillometric data in order to diagnose a genetic disease in pediatric age.

Purpose We examined ideas about how youth would mitigate non-medical use of prescription medications among their peers. Design/methodology/approach The National Monitoring of Adolescent Prescription Stimulants Study (N-MAPSS) interviewed 11,048 youth10-18 years of age between 2008 and 2011 from entertainment venues of 10 US urban, suburban, and rural areas. Using a mixed-methods approach, participants completed a survey culminating in open ended questions asking: 1) How should kids your age be told about prescription drugs and their effects?; 2) If you ran the world, how would you stop kids from taking other people's prescription medicines?; 3)Why do people use prescription stimulants without a prescription? Responses from a random sample of 900 children were analyzed using qualitative thematic analyses. Findings The random sample of 900 youth (52% female, 40% white, with a mean age was 15.1 years) believed they should be educated about prescription drugs and their negative effects at schools, at home by parents, through the media, and health professionals. Youth would stop kids from using other people's prescription drugs through more stringent laws that restricted use, and education about negative consequences of use. Peer pressure was the most common reason youth gave for using other's pills, though some reported using for curiosity. Originality/value This analysis shows the importance of considering youth's opinions on non-medical use of prescription medications, which are often overlooked. Studies should disseminate this data from youth to stop the illicit use of prescription drugs among teens and youth.