Search Results (17,138)

The scourge of food waste (FW) is a significant global challenge, impacting climate change, food security, and the sustainability of agrifood systems. The objective of this paper is to identify, analyze, and understand the factors influencing household consumer behaviors in Romania regarding the reduction of FW. Three primary research objectives were established to assess food consumption behaviors within households, to explore attitudes toward FW, and to understand the motivations for reducing FW along with the measures implemented by households to address this issue. Methodology: Data were collected through an online self-administered questionnaire, designed to investigate consumer behaviors related to the avoidance of FW. A descriptive statistical analysis was performed, and a linear regression model was developed to evaluate a composite index measuring Romanian consumers’ behavior towards FW reduction. Results: The resulting model identifies key predictors that drive concrete actions to minimize FW, including the desire to mitigate the environmental impact, household conversations about FW and strategies to reduce it, established food routines, the influence of one’s social circle, individual ecological and social responsibility, and the effectiveness of awareness campaigns addressing the consequences of FW. Practical and social implications: The findings highlight the necessity of education and awareness initiatives to shift attitudes and behaviors concerning FW. Future research is warranted to deepen understanding and enhance interventions. Originality: This study represents a pioneering and innovative inquiry into FW behavior in Romania, filling a gap in the existing literature and contributing to the broader discourse on this pressing environmental issue. Full article

The main objective of this study is to investigate a solution for the current lack of skilled workers in Europe and to optimize the utilization of expertise. For this qualitative study, 36 semi-structured interviews were conducted (with a purposive sample of financially independent (soon-to-be) retirees and employers). The thematic analysis revealed (1) on both the employer’s and recruiter’s side, there are many stereotypes and prejudices, as well as a lack of creativity about how to integrate these highly motivated specialists into the organization’s workforce; (2) as regards senior experts, there is a worry that their competences and commitment will be judged based on how they have been treated in recent years of employment. The results also indicate that searching for intellectual challenges and solving them with a team of co-workers is one of the main attractions for senior experts. We identified six main patterns for unretirement choices: learning and intellectual challenges, applying expertise, public perception of retirees, belonging and social connections, compensating for loss of status, and feeling appreciated. Appreciating, valuing, and channeling this drive to solve present-day problems independent of a person’s chronological age should be self-evident for organizations and societies. Full article

This article concerns the management of the Polish mining company Lubelski Węgiel (LW) Bogdanka S.A. The main aim of this paper was to describe the whole process of implementing a process approach to management in one of the most important mining companies in Poland. The objective of the research presented was the incorporation of the process approach in LW Bogdanka S.A. to enhance its management and to improve the effectiveness of its mining process. This paper uses a case study method and presents a practical incorporation of the process approach and its results. The first phase of the proposed solution included building a map of business processes. Then, the research consisted of an analysis of existing processes; the introduction of new solutions, mainly in the field of infrastructure and IT systems; and changing the awareness of key process owners. The motivation for applying this approach was to achieve greater efficiency and continuous improvement in LW Bogdanka S.A. The main results and achievements were not merely limited to the development of a map of processes and subprocesses, but also led to an improvement in organizational structure, changes in approach to company management, a diagnosis of problems in the most important company departments, and the proposal of solutions to them. Full article

The competitiveness of tourist destinations is influenced by their relative attractiveness, which will play an essential role in their global success; gastronomy is one of the main motivations that lead tourists to visit a given destination. This research aims to investigate gastronomy’s role in the destination’s competitiveness and image through the analysis of online reputation, both in terms of ratings and sentiments provided by the experience, through the creation of an index of the online reputation of gastronomic image. Online restaurant reviews retrieved from TripAdvisor, from restaurants belonging to eight tourism destination regions, considered the competitive set to the Algarve, are analysed by applying sentiment analysis algorithms. With regard to the Algarve region, it was concluded that the Costa del Sol and the Tropical coast were the most competitive regions in terms of gastronomic image, where the inclusion of seafood products in meals was one of the strategic aspects used to increase the competitiveness of this region. These results can help restaurant managers and destination management organisations to better understand the different customer needs and how to increase their competitiveness. Full article

In recent decades, meat consumption has faced growing scrutiny from an environmental, health, and animal welfare perspective. As a result, reducing meat consumption has emerged as an important strategy to mitigate its negative effects. Flexitarians, a growing group of meat reducers, have attracted attention for potentially shaping future dietary trends. This study uses a qualitative approach and draws on 15 in-depth interviews with young flexitarians in Slovenia (YFS) to identify the main facilitators and barriers to meat reduction by exploring their motivations, capabilities, and opportunities as described in the COM-B behavioral model. This study fills the gap in studies on flexitarians using the COM-B model by looking at capabilities and opportunities, not solely motives. In addition, it fills the gap in qualitative in-depth studies on all three COM-B categories, as well as a gap in studies conducted outside northwest Europe and other primarily western geographical contexts. This study highlights important findings for the central and eastern European context that industry and governments should consider when developing behavior change strategies for healthy, sustainable diets. This study shows that strong rural family ties and limited access to meat alternatives are the major barriers to meat reduction in Slovenia. The YFS preferred whole, unprocessed foods (legumes, vegetables, grains) over processed meat alternatives and reduced their meat consumption primarily for health and environmental reasons, relying on social support from peers and information from popular documentaries and social media influencers. Full article

Regulations for building materials in Greece do not allow for the use of recycled aggregates in concrete. The HERACLES Group, aiming to motivate the adoption of provisions in the national regulation, launched a project to evaluate the safe use of recycled aggregates in ready-mix concrete units. In this report, updated results are presented comparing the technical properties of concrete mixes containing only crushed limestone aggregates (reference mixes) and mixes containing partially replaced crushed limestone aggregates with recycled aggregates (control mixes). The current results indicate equivalence between the reference and control compositions in terms of both physicomechanical and durability properties. These experimental results and the practices of other European countries indicate that in Greece, based on EN 12620 and EN 206 standards, it is at least safe to use recycled coarse aggregates (≥4 mm) of classes Rc90 and Rcu95 with production and quality certification and a substitution rate up to 20% of crushed limestone aggregates. In addition, the application concerns non-prestressed concrete with a strength class up to C30/37 and an exposure class up to XS1. Full article

Background/Objectives: Sport persistence is the embodiment of sports performance and mental toughness. It refers to our attempts concerning the performance plateau, failures, injuries, or even the resolution and processing of stressful situations associated with success and positive events. In our research, we used qualitative methods based on Bronfenbrenner’s socio-ecological model to investigate the factors influencing sport persistence among high school and university athletes. Methods: The research was based on semi-structured interviews with 133 athletes. ATLAS.ti software and the grounded theory methodology were applied for data analysis. Our analysis grouped the responses according to Bronfenbrenner’s categorisation system, highlighting motivational factors at the microsystem level. Our research question was as follows: What kind of factors dominate the development of sport persistence among adolescent (high school) and young adult (university) athletes along Bronfenbrenner’s dimension of the microsystem? Results: Regarding the microsystem, family, peers, and coaches were mentioned as influential factors. Concerning the family, general, person-specific, family value-related, future-oriented, introjected, and disadvantage-compensating motivational components were identified. General, individual, community and relational factors were identified concerning peers. Concerning the coach, general, individual, community, and coach personality-driven motivational segments were detected. Conclusions: By recognising the complex interplay of systemic factors, we can design interventions targeting these factors at various socio-ecological levels, promoting youth sports and increasing physical activity among young people. These findings instil hope and motivation for the future of sports and physical activity. Full article

Background: Mental health disease constitutes 25% of the total burden of disease in Denmark. In the last few years, an increasing tendency for seeking the ocean has arisen, and winter bathing is one of the outdoor activities with a large rise in popularity. Objectives: The purpose of this study was to explore if and how regular winter bathing in blue spaces can affect people’s mental health. Methods: This study employed a qualitative design using fieldwork with semi-structured interviews with four members from three different winter bathing clubs. The empirical data were thematically analyzed followed by theoretical analysis. Results: The results revealed five themes: Social Connectedness; Blue Nature as a Free Space; The Motivation Behind Winter Bathing; It is More Than an Ice-Cold Shock; and Finding Mental Peace in Winter Bathing. The results suggest that winter bathing in blue spaces contributed to improved mental health for the informants. Conclusions: In conclusion, regular winter bathing enhanced the participants’ mental health. A relatively short time in the ice-cold water provided mental peace which transferred to the rest of daily life in general, which emphasizes the mental health-promoting potential of winter bathing. Positive emotions were cultivated through exposure to blue spaces, including inner calm and a sense of safety. Winter bathing also served as a space for social connectedness and community building, facilitated by the club environment in which meaningful social interactions occurred. Full article

With the rapid advancement of drone technology, the efficient distribution of drones has garnered significant attention. Central to this discourse is the energy consumption of drones, a critical metric for assessing energy-efficient distribution strategies. Accordingly, this study delves into the energy consumption factors affecting drone distribution. A primary challenge in drone distribution lies in devising optimal, energy-efficient routes for drones. However, traditional routing algorithms, predominantly heuristic-based, exhibit certain limitations. These algorithms often rely on heuristic rules and expert knowledge, which can constrain their ability to escape local optima. Motivated by these shortcomings, we propose a novel multi-agent deep reinforcement learning algorithm that integrates a drone energy consumption model, namely EMADRL. The EMADRL algorithm first formulates the drone routing problem within a multi-agent reinforcement learning framework. It subsequently designs a strategy network model comprising multiple agent networks, tailored to address the node adjacency and masking complexities typical of multi-depot vehicle routing problem. Training utilizes strategy gradient algorithms and attention mechanisms. Furthermore, local and sampling search strategies are introduced to enhance solution quality. Extensive experimentation demonstrates that EMADRL consistently achieves high-quality solutions swiftly. A comparative analysis against contemporary algorithms reveals EMADRL’s superior energy efficiency, with average energy savings of 5.96% and maximum savings reaching 12.45%. Thus, this approach offers a promising new avenue for optimizing energy consumption in last-mile distribution scenarios. Full article

New-generation disposable e-cigarettes have become increasingly popular among young adults in the USA since the FDA’s partial flavor ban. This study aims to examine longitudinal changes in health risks among young adults who adopted these novel products, as well as the health effects of device types beyond the effects of other important e-cigarette characteristics. This study recruited e-cigarette users via voluntary response sampling from three college campuses in the USA to respond to four-wave online surveys conducted in four consecutive semesters. Among the participants who adopted disposables during the study, their health risks (dependence symptoms, respiratory symptoms, combustible tobacco use) and e-cigarette consumption characteristics (use frequency, nicotine concentration and flavors) before and after the adoption were compared using paired-sample t- or McNemar’s tests. Generalized linear mixed models with a random intercept were conducted on data from the entire sample to investigate the effects of device type (tank, cartridge/pod, disposable) on health risks, controlling for other e-cigarette consumption characteristics. The study sample of 650 e-cigarette users were, on average, 20 years old, with 49% being male, 70% being White, and 13% being Hispanic. Adopting disposables may increase secondary dependence motives (t = 2.42, p < 0.05) and the use of higher levels of nicotine concentration (t = 2.09, p < 0.05) and sweet flavors (x² = 22.53, p < 0.05) but decrease the number of times of vaping per day (t = −2.18, p < 0.05) and the use of menthol flavors (x² = 4.57, p < 0.05). Tank use is associated with a higher level of primary dependence motives (b = 0.1998, p < 0.05) and a greater odds of using combustible tobacco (b = 0.4772, p < 0.05). Although disposable use is not associated with the likelihood of using combustible tobacco, it is associated with higher levels of both primary (b = 0.2158, p < 0.05) and secondary (b = 0.2533, p < 0.05) dependence motives. It is not the device type, but rather the frequency of vaping, that affects respiratory symptoms (b = 0.0602, p < 0.05). The findings indicate that when young adults switch to disposables, their e-cigarette dependence and use of sweet-flavored e-liquids increase. Even after controlling for use frequency, nicotine concentration and flavors, using disposables is related to not only instrumental motives that are influenced by psychological and environmental contexts but also heavy, automatic use that can operate without environmental cues. Given the health risks associated with disposable e-cigarettes, more comprehensive tobacco product regulations that consider the impact of device types may be needed. Full article

This study aimed to explore students’ perspectives on integrating artificial intelligence (AI) into scientific collaboration, specifically on writing academic articles and creating scientific posters. The research employed open-ended interviews conducted among 61 civil and military students. Opinions were labelled, coded, and gathered into the following categories: positive impact on collaboration, challenges faced, and educational impact. Among the positives were improving efficiency, enhancing the quality of work, and generating new ideas. The challenges concerned experiencing technical difficulties with AI tools, inconsistency in AI outputs, and AI dependence, which may lead to behaviours on the verge of addiction. Regarding educational impact, students noticed that AI helps improve learning new skills, increases engagement in the task, and enhances critical thinking. As one researcher performed the thematic analyses, Cohen’s Kappa statistic was used to ensure intra-coder reliability. This study highlights the need for further research to optimize the use of AI in scientific collaboration while addressing ethical concerns related to students’ motivations for using AI tools, promoting responsible use, and researching students’ emotions, cognitive processes, and behaviours resulting from their interactions with AI tools. The research provides valuable insights for educators and policymakers to integrate AI effectively into academic practice. Full article

This study introduces the Data-Driven Personalized Learning Model (DDPLM), a sophisticated framework designed to enhance foreign language acquisition through the integration of big data analytics. Implemented within the educational platforms Edmodo and Duolingo, DDPLM utilizes real-time data processing to tailor learning paths and content dynamically to individual learner needs. Our findings indicate significant improvements in language learning efficiency, engagement, and retention. The model’s adaptability across different digital environments showcases its potential scalability and effectiveness in various educational contexts. Additionally, the research addresses the critical role of personalized feedback and adaptive challenges in maintaining learner motivation and promoting deeper linguistic comprehension. The outcomes suggest that DDPLM significantly transforms traditional language education, making it more personalized, efficient, and aligned with individual learning preferences. Full article

Using drones to obtain vital signs during mass-casualty incidents can be extremely helpful for first responders. Thanks to technological advancements, vital parameters can now be remotely assessed rapidly and robustly. This motivates the development of an automated unmanned aerial system (UAS) for patient triage, combining methods for the automated detection of respiratory-related movements and automatic classification of body movements and body poses with an already published algorithm for drone-based heart rate estimation. A novel UAS-based triage algorithm using UAS-assessed vital parameters is proposed alongside a robust UAS-based respiratory rate assessment and pose classification algorithm. A pilot concept study involving 15 subjects and 30 vital sign measurements under outdoor conditions shows that with our approach, an overall triage classification accuracy of 89% and an $F_1$ score of 0.94 can be achieved, demonstrating its basic feasibility. Full article

Background: Exercise rehabilitation programmes are important for long-term health and wellbeing among people with cardiac and pulmonary diseases. Despite this, many people struggle to maintain their physical activity once rehabilitation ends. This repeated measures study tracked changes in physical activity behaviour and motivation during and after completing a community-based exercise rehabilitation programme. Methods: Cardiac and pulmonary exercise rehabilitation patients (N = 31) completed six once-monthly measures of physical activity (MET·min), self-determined motivation, intention, and habit strength for rehabilitation exercise (within rehabilitation sessions) and lifestyle physical activity (outside of rehabilitation sessions). Linear regression and random effects models with estimated marginal means were used to test for associations between physical activity motivation and behaviour and change during and post-rehabilitation. Results: Overall physical activity decreased after rehabilitation (823 MET·min) despite patients becoming more self-determined for lifestyle physical activity during rehabilitation. More self-determined motivation, stronger intentions, and stronger habits were associated with more lifestyle physical activity behaviour. However, none of these motivation variables were significantly associated with rehabilitation exercise behaviour. Conclusions: Among community-based cardiac and pulmonary rehabilitation patients, physical activity levels decreased following exercise rehabilitation programmes. The findings revealed clear distinctions in the motivation of rehabilitation exercise compared to lifestyle physical activity. Exercise rehabilitation programmes might improve the longevity of outcomes by integrating approaches to enhance lifestyle physical activity beyond the clinic. Full article

Follicular lymphoma (FL) is the most prevalent indolent B-cell lymphoma entity, often characterized by the t(14;18) BCL2-IGH translocation. The malignancy represents a clinically and biologically highly heterogeneous disease. Most patients have favorable prognoses; however, despite therapeutic advancements, the disease remains incurable, with recurrent relapses or early disease progression. Moreover, transformation to an aggressive histology, most often diffuse large-B-cell lymphoma, remains a critical event in the disease course, which is associated with poor outcomes. Understanding the individual patient’s risk of transformation remains challenging, which has motivated much research on novel biomarkers within the past four decades. This review systematically assessed the research on molecular biomarkers in FL transformation and outcome. Following the PRISMA guidelines for systemic reviews, the PubMed database was searched for English articles published from January 1984 through September 2024, yielding 6769 results. The identified publications were carefully screened and reviewed, of which 283 original papers met the inclusion criteria. The included studies focused on investigating molecular biomarkers as predictors of transformation or as prognostic markers of time-related endpoints (survival, progression, etc.). The effects of each biomarker were categorized based on their impact on prognosis or risk of transformation as none, favorable, or inferior. The biomarkers included genetic abnormalities, gene expression, microRNAs, markers of B cells/FL tumor cells, markers of the tumor microenvironment, and soluble biomarkers. This comprehensive review provides an overview of the research conducted in the past four decades, underscoring the persistent challenge in risk anticipation of FL patients. Full article