Search Results (5,315)

To maintain relevance, youth tobacco control programs must leverage popular social media platforms and address evolving behaviors. Recognizing this, the South Carolina Department of Public Health and Rescue Agency implemented culturally tailored social media campaigns (Down and Dirty, Fresh Empire), a broad vaping social media campaign (Behind the Haze), and an Instagram-based vaping cessation program (Quit the Hit, QTH). This study examines program impact. The social media campaigns were evaluated via online cross-sectional surveys in 2019–2023. Analyses examined awareness and reception overall and among target audiences and compared knowledge, attitudes, and beliefs between campaign-aware and unaware participants. The impact of QTH was assessed via online baseline and follow-up surveys in 2021–2023. Analyses examined program feedback and changes in cessation confidence and tobacco use from baseline to follow-up. Over one-third of participants recalled the social media campaigns, and recall of featured facts was higher among the campaign-aware participants than the unaware participants. QTH participants’ confidence in quitting increased from baseline to follow-up, while any 30-day vaping and average number of days of vaping decreased. This innovative social media program reached high-risk youth with educational content and empowered teens to quit vaping, providing a model for comprehensive youth tobacco control programs. Full article

The anthropology of food is a sub-field of cultural anthropology interested in studying food and foodways. This article provides a concise overview of the anthropology of food, tracing its development from the early twentieth century to contemporary debates and emerging research trajectories. Drawing on foundational work by figures such as Boas and Malinowski, it shows how early anthropologists approached food as integral to understanding social organization, kinship, and cultural meaning. As the field evolved, structuralist, materialist, feminist, and political-economic perspectives broadened its scope, highlighting the symbolic significance of cuisine, the interplay between environment and subsistence, and the pivotal role of gender and class in shaping food practices. In recent decades, the anthropology of food has engaged intensively with globalization, investigating how transnational flows reshape culinary identities, local economies, and cultural heritage, as well as other significant topics. At the same time, emerging themes—such as multispecies perspectives, sensory studies, and the application of innovative methodologies—offer new lenses for understanding how food mediates relationships between humans, non-human beings, and environments. By examining case studies spanning regions from Africa and Asia to Europe and the Americas, this article illustrates how contemporary anthropologists use food as a prism to investigate cultural identity, social change, ethical relations, and the complex entanglements of local and global food systems. Full article

Rapid urbanization in Saudi Arabia, fueled by economic growth and population expansion, has created substantial challenges for urban planning, infrastructure, and environmental sustainability. In response, smart cities have emerged as a transformative solution, integrating technological innovation with sustainable urban development. While the concept of smart cities has gained global traction, its practical application in Saudi Arabia remains in its early stages. This study investigates the potential of smart cities to tackle Saudi Arabia’s urban challenges, aligning with the objectives of Vision 2030. Employing a mixed-methods approach, the research combines a theoretical analysis of global smart city frameworks with applied research, including field observations and policy analysis of Saudi initiatives. It explores the dynamic relationship between technology, governance, and sustainability, providing a comparative perspective that benchmarks Saudi efforts against international best practices. A central contribution of the study is the development of a multi-dimensional framework designed to advance sustainable smart cities in Saudi Arabia. This framework highlights key pillars such as data-driven governance, environmental resilience, social inclusivity, and economic innovation. By contributing to the broader discourse on sustainable urban development, this research positions Saudi Arabia as a potential regional leader in smart city implementation. Ultimately, the study highlights the transformative potential of smart cities to address global urbanization challenges, fostering resilient, equitable, and sustainable urban environments for future generations. Full article

This research investigates the optimization potential of Renewable Energy Communities (RECs) through advanced demand-side management strategies. The study simulates a real distribution network and analyzes load profile optimization in a residential REC configuration, comparing two distinct approaches: Demand-Side Engagement (DSE) and Optimized Demand-Side Management (Opt-DSM). The methodology encompasses load-shifting strategies at the appliance level, progressing from spontaneous behavior patterns to algorithmic optimization. Starting from a baseline scenario of conventional consumption patterns, the research evaluates the effectiveness of both user-driven load shifting (DSE) and automated redistribution through genetic algorithms (Opt-DSM). The analysis framework addresses three key dimensions: economic efficiency through incentive optimization, social cohesion via collaborative engagement, and environmental sustainability through the optimal utilization of locally generated energy. Results demonstrate that enhanced generation-consumption synchronization through Opt-DSM yields superior outcomes for both distribution network performance and participant economics compared to DSE. However, successful implementation requires substantial technological infrastructure investment at individual and community levels, alongside significant modifications to established consumption patterns. This research contributes to the understanding of RECs as innovative socio-technical systems and provides figures to support the analysis related to the balance between technological optimization and user engagement in maximizing shared energy potential. Full article

Is there a qualitative difference between apes’ and humans ‘ability to estimate others’ mental states’, a.k.a. ‘Theory-of-Mind’? After opting for the idea that expectations are empty profiles that recognize a particular content when it arrives, I apply the same description to ‘vicarious expectations’—very probably present in apes. Thus, (empty) vicarious expectations and one’s (full) contents are distinguished without needing meta-representation. Then, I propose: First, vicarious expectations are enough to support apes’ Theory-of-Mind (including ‘spontaneous altruism’). Second, since vicarious expectations require a profile previously built in the subject that activates them, this subject cannot activate any vicarious expectation of mental states that are intrinsically impossible for him. Third, your mental states that think of me as a distal individual are intrinsically impossible states for me, and therefore, to estimate them, I must estimate your mental contents. This ability (the original nucleus of the human Theory-of-Mind) is essential in the human lifestyle. It is involved in unpleasant and pleasant self-conscious emotions, which respectively contribute to ‘social order’ and to cultural innovations. More basically, it makes possible human (prelinguistic or linguistic) communication, since it originally made possible the understanding of others’ mental states as states that are addressed to me, and that are therefore impossible for me. Full article

In order to achieve the ‘dual carbon’ goal, based on the DEMATEL-ISM model, 19 main factors affecting the carbon emissions of prefabricated buildings were preliminarily identified from five dimensions, including government decision-making, technical environment, social economy, energy consumption, and market supply and demand. The logical relationship, hierarchical structure, and importance between the factors were clarified, and finally, the four influencing factors were determined. According to the causal feedback relationship between the above four factors in the system flow from 2010 to 2030, eight different control scenarios were proposed, and the impact and change trend of each control scenario on the reduction of carbon emissions of prefabricated buildings were analyzed. The research results show that the key factors for carbon emissions from prefabricated buildings include 14 outcome factors and 5 cause factors, and that the causal factors are key drivers. They are the standard specification system, the incremental cost of prefabricated buildings, investment in scientific and technological innovation, and the level of prefabricated integrated technology. The key factors were structurally stratified from the essential level to the superficial level in four tiers. The first tier of the standard specification system is the surface causal factor affecting carbon emissions from prefabricated buildings. Investment in scientific and technological innovation in the second and third tiers, and the level of prefabricated integrated technology are the causes of the transition. The incremental cost of prefabricated buildings at the fourth level is the essential causal factor. Finally, based on the data related to carbon emissions of prefabricated buildings in Yunnan, China, and verified in eight regulatory scenarios, the results of the study can effectively reveal the carbon emission reduction transmission path of prefabricated buildings, which can provide a reference for the development of prefabricated buildings and carbon emission reduction strategies. Full article

The plague of cyberbullying on social media exerts a dangerous influence on human lives. Due to the fact that online social networks continue to daily expand, the proliferation of hate speech is also growing. Consequentially, distressing content is often implicated in the onset of depression and suicide-related behaviors. In this paper, we propose an innovative framework, named as the trustable LSTM-autoencoder network (TLA NET), which is designed for the detection of cyberbullying on social media by employing synthetic data. We introduce a state-of-the-art method for the automatic production of translated data, which are aimed at tackling data availability issues. Several languages, including Hindi and Bangla, continue to face research limitations due to the absence of adequate datasets. Experimental identification of aggressive comments is carried out via datasets in Hindi, Bangla, and English. By employing TLA NET and traditional models, such as long short-term memory (LSTM), bidirectional long short-term memory (BiLSTM), the LSTM-autoencoder, Word2vec, bidirectional encoder representations from transformers (BERT), and the Generative Pre-trained Transformer 2 (GPT-2), we perform the experimental identification of aggressive comments in datasets in Hindi, Bangla, and English. In addition to this, we employ evaluation metrics that include the F1-score, accuracy, precision, and recall, to assess the performance of the models. Our model demonstrates outstanding performance across all the datasets by achieving a remarkable 99% accuracy and positioning itself as a frontrunner when compared to previous works that make use of the dataset featured in this research. Full article

University–industry (U–I) collaborations are widely recognized as key drivers of economic progress, innovation, and competitiveness, fostering significant scholarly interest. Concurrently, research findings on these interactions have contributed to the establishment of an interdisciplinary field marked by the inherent complexity of these relationships. This study aims to map the conceptual structure of university–industry knowledge transfer (UIKT) research from 1980 to 2023 by employing co-word analysis and social network analysis based on data retrieved from the Scopus database. The results reveal that 1577 documents were published during this period, incorporating 147 keywords, with the five most frequent being “innovation”, “higher education”, “university”, “technology transfer”, and “knowledge management”. The United Kingdom was identified as the most prolific country, contributing 366 documents, while Research Policy emerged as the most cited journal, with 3546 citations. This study offers a comprehensive overview of the current state of UIKT research, paving the way for future studies and providing valuable directions for further investigations. Full article

This research examines the proposition that enhancing sustainable innovation can be particularly effective when the focus is on strategy, machine learning, and digitalization. The study specifically targets the complex interactions among strategic alignment (SA), sustainability-oriented innovation (SOI), and digital transformation (DT) within small and medium-sized enterprises (SMEs) in Saudi Arabia, particularly within the service sector. A moderated mediation framework was constructed to analyze the influence of SA on SOI, the mediating role of DT, and the moderating effect of strategic orientation (SO). Data were collected through structured surveys from 339 SMEs using a quantitative research design and a cross-sectional methodology. The partial least squares structural equation modeling (PLS-SEM) technique was employed to validate the proposed framework and hypotheses. The results indicate that SA significantly boosts SOI, with DT acting as a strong mediator in this connection. Furthermore, SO moderates the relationships between SA and SOI, SA and DT, and DT and SOI, highlighting its essential role in shaping the dynamics of sustainable innovation. These findings emphasize the necessity of aligning strategic initiatives with digital advancements to foster innovation that achieves a balance among economic, social, and environmental objectives. This study contributes to existing literature by filling the research gap regarding SOI and DT in Saudi SMEs and offers practical insights for SMEs facing sustainability challenges. Future research should delve deeper into digital technology configurations, industry-specific contexts, and cross-national applications to improve the applicability of these findings. Full article

The European Union’s commitment to significantly reducing greenhouse gas emissions by promoting renewable energy necessitates a comprehensive understanding of the societal impacts of these initiatives to achieve sustainable development. A significant challenge lies in effectively assessing the social impacts of the wind and tidal energy sector. This paper addresses this issue by presenting an expanded methodology derived from the Sustainable Development Goals (SDG) Impact Assessment, specifically tailored to assess social impacts. The methodology focuses on social SDGs, particularly Good Health and Well-being (SDG 3), Gender Equality (SDG 5), Affordable and Clean Energy (SDG 7), Sustainable Cities and Communities (SDG 11), and Partnerships for the Goals (SDG 17). Irrelevant targets are excluded based on defined criteria, while the remaining targets are characterized according to their impact pathways, validated through peer review, and prioritized by experts. The results underscore the importance of strategic partnerships, innovative material development, and gender equality in achieving global sustainability objectives. This research offers valuable insights into integrating SDG-aligned indicators within project frameworks, providing a replicable model for similar initiatives. Full article

This study integrates Sustainable Energy Development (SED) with an Energy Ecosystems (EE) framework in Greece to reveal how macrolevel policies, mesolevel infrastructures, and microlevel behaviors shape energy transitions. Drawing on historical data primarily spanning 2010–2024, supplemented by 16 semi-structured expert interviews and a macro–meso–micro analytical approach, it examines SED dimensions—affordability, supply, consumption, and security—within the supplier–producer–distributor–consumer nexus. The findings show notable progress in solar and wind adoption but also underscore persistent challenges such as high import dependency, regulatory inefficiencies, and infrastructural gaps. By proposing targeted policy directions and suggesting a new modus operandi of local-level institutional coordination, the research illustrates how an SED–EE synergy can foster resilience, innovation, and social equity, thereby informing sustainable energy strategies not just for Greece but also for other regions facing similar structural hurdles. The novel integrative perspective of this paper, unlike prior approaches that address either macropolicy targets or microlevel entrepreneurial activity alone, clarifies how mesolevel dynamics facilitate or hamper SED goals. This theoretical and practical synthesis is expected to inform the design of more resilient, equitable, and innovation-driven energy policies. Full article

Digitalization has significantly reshaped human and social life worldwide, serving as a powerful enabler of a sustainable economy, while being directly aligned with Sustainable Development Goal 9, among others. The literature on digitalization and sustainability boosted since 2017, confirming its importance. Unlike most previous studies, this paper extracted articles from both the Scopus and Web of Science platforms, and the bibliometric analysis was conducted using the new Python library, pyBibX, for the cleaned concatenated dataset, as well as Bibliometrix in R for the parallel analysis on the two platforms. We conducted both a performance analysis to measure scientific impact and citations in the quest to better understand the research field and also a science mapping to visually represent the scientific research and its development. Our findings suggest that Sustainability is the main journal with published articles on digitalization and sustainability, whereas China has the largest number of papers in the field and collaborations between countries. Finally, by applying Natural Language Processing, we identified as best topics: digital, sustainable, development, sustainability, digitalization, study, research, transformation, innovation, and model. Moreover, we dug deeper into policy implications to show how these findings could serve policymakers and stakeholders in academia and industry. Full article

Intelligent safety and security is significant for preventing risks, ensuring information security and promoting sustainable social development, making it an indispensable part of modern society. Current research primarily focuses on the knowledge base and research hotspots in the field of intelligent safety and security. However, a comprehensive mapping of its overall knowledge structure remains lacking. A total of 1400 publications from the Web of Science Core Collection (2013–2023) are analyzed using VOSviewer and CiteSpace, through which co-occurrence analysis, keyword burst detection, and co-citation analysis are conducted. Through this approach, this analysis systematically uncovers the core themes, evolutionary trajectories, and emerging trends in intelligent safety and security research. Unlike previous bibliometric studies, this study is the first to integrate multiple visualization techniques to construct a holistic framework of the intelligent safety and security knowledge system. Additionally, it offers an in-depth analysis of key topics such as IoT security, intelligent transportation systems, smart cities, and smart grids, providing quantitative insights to guide future research directions. The results show that the most significant number of publications are from China; the top position on the list of papers published by related institutions is occupied by King Saud University from Saudi Arabia. Renewable and Sustainable Energy Reviews, Sustainable Cities and Society, and IEEE Transactions on Intelligent Transportation Systems are identified as the leading publications in this field. The decentralization of blockchain technology, the security and challenges of the Internet of Things (IoT), and research on intelligent cities and smart homes have formed the knowledge base for innovative security research. The four key directions of intelligent safety and security research mainly comprise IoT security, intelligent transportation systems, traffic safety and its far-reaching impact, and the utilization of smart grids and renewable energy. Research on IoT technology, security, and limitations is at the forefront of interest in this area. Full article

This study investigates the transformative capacity of artificial intelligence (AI) in improving financial accountability and governance in the public sector. The study aims to explore the strategic potential and constraints of AI integration, especially as fiscal systems become more complex and public expectations for transparency increase. This study employs a qualitative case study methodology to analyze three countries, which are Estonia, Singapore, and Finland. These countries are renowned for their innovative use of AI in public administration. The data collection tools included an extensive review of the literature, governmental publications, case studies, and public feedback. The study reveals that AI-driven solutions such as predictive analytics, fraud detection systems, and automated reporting significantly improve operational efficiency, transparency, and decision making. However, challenges such as algorithmic bias, data privacy issues, and the need for strong ethical guidelines still exist, and these could hinder the equitable use of AI. The study emphasizes the importance of aligning technological progress with democratic values and ethical governance by addressing these problems. The study also enhances the dialog around AI’s role in public administration. It provides practical recommendations for policymakers who seek to use AI wisely to promote public trust, improve efficiency, and ensure accountability in governance. Future research should focus on enhancing ethical frameworks and investigating scalable solutions to overcome the social and technical challenges of AI integration. Full article

Sustainability involves continuously enhancing processes to yield long-term environmental, economic, and social benefits. The construction industry necessitates innovative and practical approaches in both education and construction practice to foster sustainable development. This study contributes to the discourse on sustainability in engineering education and construction practice by presenting the outcomes of the European-funded project “CLOEMC VI—Common Learning Outcomes for European Managers in Construction”. The main aim of this study is to investigate construction practices and civil engineering education from the perspective of sustainability considering the impact of earthquakes on the construction sector. This study incorporates insights from interviews conducted with construction professionals in the region affected by the February 2023 Kahramanmaras earthquakes in Turkey. The interviews examine reflections on building sustainable cities through earthquake-resilient practices. This study also conducts a questionnaire survey targeting academics in civil engineering departments in Turkey. The questionnaire survey evaluated the integration of sustainability and resilience into civil engineering curricula. The key contribution of this research lies in demonstrating how the manuals developed under the EU-funded project can be effectively integrated into engineering education and how insights from disaster-affected communities can inform a more robust framework for sustainability. This study provides valuable guidance for policymakers and researchers in developing strategies for implementing sustainability in engineering education and the construction industry, ultimately contributing to the advancement of sustainable development practices. Full article