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Sustainability usually refers to the ability to maintain a certain standard of human lifestyle without causing environmental damage or any other destruction to nature and biodiversity. It is beneficial for human health and well-being in addition to socio-economic benefits and contributes to environmental integrity. However, as Robert Swan (1956) once stated: “the greatest threat to our planet is the belief that someone else will save it”—this is true even today; namely, there are still serious threats to the planet and there is “a short time period” for action. We all have to be obliged to save the planet in which we live throughout our daily and local activities. In this study, the authors provide an overview of the meaning of sustainable tourism and its relationship to all global Sustainable Development Goals established by UN (2015) as one way to achieve a brighter sustainable future and society for everyone, leaving no one behind. More specifically, the case of Kosovo and its potential for the development of sustainable tourism is analyzed. In this case, the authors aim to present the potential to serve the local tradition, culture, diversity, and inclusiveness through sustainable actions in the tourism and hospitality sector.

Based on a targeted literature review, this vision paper emphasizes the importance of dementia-sensitive built space. The article specifically focuses on supporting spatial orientation and wayfinding for people living with dementia. First, we discuss types of wayfinding challenges, underlying processes, and consequences of spatial disorientation in the context of dementia of the Alzheimer’s type. Second, we focus on current efforts aimed at planning and evaluating dementia-sensitive built space, i.e., environmental design principles, interventions, evaluation tools, strategies, and planning processes. Third, we use our findings as a starting point for developing an interdisciplinary research vision aimed at encouraging further debates and research about: (1) the perspective of a person with dementia, specifically in the context of wayfinding and spatial orientation, and (2) how this perspective supplements planning and design processes of dementia-sensitive built space. We conclude that more closely considering the perspective of people with dementia supports the development of demographically sustainable future cities and care institutions.

Air pollution is a major issue all over the world because of its impacts on the environment and human beings. The present review discussed the sources and impacts of pollutants on environmental and human health and the current research status on environmental pollution forecasting techniques in detail; this study presents a detailed discussion of the Artificial Intelligence methodologies and Machine learning (ML) algorithms used in environmental pollution forecasting and early-warning systems; moreover, the present work emphasizes more on Artificial Intelligence techniques (particularly Hybrid models) used for forecasting various major pollutants (e.g., PM2.5, PM10, O3, CO, SO2, NO2, CO2) in detail; moreover, focus is given to AI and ML techniques in predicting chronic airway diseases and the prediction of climate changes and heat waves. The hybrid model has better performance than single AI models and it has greater accuracy in prediction and warning systems. The performance evaluation error indexes like R2, RMSE, MAE and MAPE were highlighted in this study based on the performance of various AI models.

The participation of citizens in scientific research has a long tradition, and in some disciplines, especially medical research, it is even common practice. In Technology Assessment (TA), Responsible Research and Innovation (RRI), and Sustainable Development (SD), the participation of citizens can be of considerable value. In this paper, we explore this value for three concepts, based on the researcher’s insights from three participatory research projects. The first project is the citizen science project TeQfor1, which was conducted with, for, and on the type 1 diabetes community, who do not feel adequately supported by the conventional health care system. In the second project, citizens with vision impairments participated in the technological development of an audio-tactile navigation tool in the TERRAIN project. The third project (Nachtlichter) dealt with light pollution. Based on the three projects presented, we show that citizen participation makes specific contributions to TA, RRI, and SD. We also investigate the specificity of citizen engagement and motivation by differentiating between existing and emerging involvement. In conclusion, we discuss the benefits that may be added by participatory approaches for the three concepts of TA, RRI, and SD.

Road traffic crashes represent a substantial global public health issue. In Saudi Arabia, which is the focus area of this research, road traffic crashes kill over 130,000 people annually, accounting for almost 5% of deaths in that country. A cross-sectional study with 316 participants holding a valid Saudi driver’s license was conducted via the internet from December 2019 to March 2020 to collect information about the prevalence of risky driving habits among Saudi drivers. The sample was predominantly men and aged between 20 and 39, which is representative of the population of drivers in Saudi Arabia. Drivers generally reported engaging in safe behaviors, although they did state that they drove above the legal speed limit, drove aggressively around slow drivers, and became distracted while driving with some frequency. Multivariate analyses suggested men took more risks than women and younger drivers took more risks than older ones. We conclude that the behavior among drivers in Saudi Arabia generally matches those in other cultures and countries, with men and young adults taking the most risks while driving. Preventative strategies should be developed and implemented in Saudi Arabia.

LCAs of electric cars and electrolytic hydrogen production are governed by the consumption of electricity. Therefore, LCA benchmarking is prone to choices on electricity data. There are four issues: (1) leading Life Cycle Impact (LCI) databases suffer from inconvenient uncertainties and inaccuracies, (2) electricity mix in countries is rapidly changing, year after year, (3) the electricity mix is strongly fluctuating on an hourly and daily basis, which requires time-based allocation approaches, and (4) how to deal with nuclear power in benchmarking. This analysis shows that: (a) the differences of the GHG emissions of the country production mix in leading databases are rather high (30%), (b) in LCA, a distinction must be made between bundled and unbundled registered electricity certificates (RECs) and guarantees of origin (GOs); the residual mix should not be applied in LCA because of its huge inaccuracy, (c) time-based allocation rules for renewables are required to cope with periods of overproduction, (d) benchmarking of electricity is highly affected by the choice of midpoints and/or endpoint systems, and (e) there is an urgent need for a new LCI database, based on measured emission data, continuously kept up-to-date, transparent, and open access.

(1) Background: the purpose of this study was a preliminary analysis of current methods of online teaching at the Faculty of Medical Sciences, University of Kragujevac, Republic of Serbia, in order to define the attitudes of biomedical students about education during the COVID-19 pandemic and to validate of the education medical questionnaire (eMedQ), a new tool for the assessment of the students’ perceptions about digital education. (2) Methods: this was a qualitative cross-sectional observational study that used the originally developed 45-item questionnaire (eMedQ) as an assessment instrument conducted on biomedical students (n = 209) of all study years at the Faculty of Medical Sciences, University of Kragujevac (Republic of Serbia), during winter semester or between September 2021 and January 2022. (3) Results: In this study, a Cronbach’s alpha value of 0.904 was obtained, which indicated good internal consistency; the correlation matrix revealed many coefficients greater than 0.3, denoting high correlations between the items. The Kaiser–Meyer–Olkin measure of sampling adequacy was 0.866 and Bartlett’s test of sphericity was significant (p < 0.001). The PCA revealed the presence of seven components with characteristic values over one, while three factors explained the highest percentage of variance. (4) Conclusions: this research developed and validated a new tool for evaluation of biomedical student perceptions about digital education.

Fruits are commonly used, fresh or processed, to prepare different industrial products with superior nutritional and health-promoting properties. Currently, the demand for processed fruit products has motivated the rapid growth of the fruit processing industries, persuading them to produce an enormous amount of by-products with less utilization. Furthermore, people's shifting dietary habits and lack of awareness of nutritional properties result in an avoidable load of fruit by-products. The knowledge of the value of by-products urges exploration with proper documentation, emphasizing the health benefits of some such products. Hence, this review is prepared by carefully analyzing the recent literature on industrial applications of fruit by-products and their nutritional and health-promoting properties. The use of fruit by-products in food industries for various purposes has been reported in the past and has been reviewed and described here. Fruit by-products are a good source of nutrients and bioactive components, including polyphenols, dietary fibers, and vitamins, implying that they could have an important role for novel, value-added functional food properties. Furthermore, fruit by-products are used as the substrate for the production of organic acids, essential oils, enzymes, fuel, biodegradable packaging materials, and preservatives.