Search Results (1,009)

The article explores how the design of informational and promotional messages from financial institutions influences their reception by young people. The study combined eye tracking, individual in-depth interviews (IDIs), and text mining analysis to examine both visual attention and participants’ conscious reactions. The aim was to identify young users’ preferences, determine factors influencing content perception, and assess the effectiveness of visual and audiovisual communication strategies. The main hypothesis proposed that minimalistic and visually attractive messages, enhanced with dynamic graphics, more effectively shape attitudes and elicit positive emotions. Specific aspects examined included the role of infographics, color schemes, message dynamics, and references to financial institutions in attracting attention and engagement. The results indicate that young people operate primarily in virtual space and express limited interest in traditional media such as television or print. They favor short, clear, and visually structured messages. Excessive textual content and lack of clarity provoked negative reactions and discouraged further engagement. Elements like infographics, colors, and logos were found to be strongly associated with brand recognition and memorability. Full article

The Gravity Recovery and Climate Experiment (GRACE) mission, operational from 2002 to 2017, provided critical measurements of Earth’s gravity field anomalies which have been extensively used to study groundwater and terrestrial water storage (TWS) dynamics. In this research, we utilize GRACE data to identify, model, and analyze potential climate parameters contributing to the reconstruction of TWS variability in the Aral Sea Basin region (ASB). We assess the impact of climate change and anthropogenic nature management on TWS change using a quantitative method. Our analysis reveals a significant decline in the TWS at a rate of 0.44 cm year⁻¹ during the 2005–2009 period, primarily attributed to the prevailing drought conditions in the region. Notably, the estimated impact of anthropogenic influence on TWS during the same period of −1.39 cm year⁻¹ is higher than the influence of climatic variables, indicating that anthropogenic activity was the dominant factor in water resource depletion. In contrast, we observed an increase in TWS at a rate of 0.82 cm year⁻¹ during the 2013–2017 period, which can be attributed to the implementation of more effective water resource management practices in the ASB. Full article

Heatwaves are increasing in frequency and intensity owing to climate change, posing severe health risks to urban populations, particularly vulnerable groups. This study investigates public perceptions, adaptive behavior, and policy awareness regarding extreme heat in Gwangju Metropolitan City, South Korea, a heat-prone urban area. Using a mixed-methods approach, we analyzed primary survey data from 814 residents and secondary data from the 2020 Gwangju Citizen Heatwave Awareness Survey. Statistical analyses, including chi-squared and t-tests, examined differences across socioeconomic age groups. Results indicate that while general awareness of heatwave risks is high, low-income residents exhibit lower perceived severity, limited access to mechanical cooling, and greater reliance on passive avoidance behaviors. Awareness and use of municipal cooling shelters were low, with satisfaction hindered by concerns over accessibility, cleanliness, and operational hours. Television and emergency text alerts were the main information channels; however, trust and perceived usefulness were limited. Policy recommendations include spatially targeted shelter placement informed by vulnerability mapping, improved operational standards, diversified risk communication, and enhanced community engagement. This study underscores the importance of equity-driven adaptation strategies and provides practical insights for global municipalities facing similar climate-related heat risks. Full article

The narrative structure of animated films plays a critical role in shaping audience perception, yet quantitative investigations into how character interaction networks influence film ratings remain limited. To address this gap, we apply complex network theory to analyze 82 animated films, extracting character networks from narrative interactions and examining key topological features—including centrality heterogeneity, protagonist relative centrality, network density, clustering coefficient, average shortest path length, and semantic diversity of relationships. Our findings demonstrate that higher-rated films are characterized by greater disparities in character centrality, lower network density and efficiency, longer average shortest path lengths, and richer semantic diversity. These structural patterns suggest that loosely connected yet hierarchically organized character networks enhance narrative complexity and audience engagement. The proposed framework offers a quantitative, data-driven approach to narrative design and provides a theoretical foundation for analyzing storytelling structures across diverse media, including novels, television series, and comics. Full article

The rise of streaming services and online story-sharing has led to a vast amount of cinema and television content being viewed and reviewed daily by a worldwide audience. It is a unique challenge to grasp the nuanced insights of these reviews, particularly as context, emotion, and specific components like acting, direction, and storyline intertwine extensively. The aim of this study is to address said complexity with a new hybrid Multi Criteria Decision-Making MCDM model that combines the Deck of Cards Method (DoCM) with the Circular Pythagorean Fuzzy Set (CPFS) framework, retaining the symmetry of information. The study is conducted on a simulated dataset to demonstrate the framework and outline the plan for approaching real-world press reviews. We postulate a more informed mechanism of assessing and choosing the most appropriate deep learning assembler, such as the transformer version, the hybrid Convolutional Neural Network CNN-RNN, and the attention-based framework of aspect-based sentiment mapping in film and television reviews. The model leverages both the cognitive ease of the DoCM and the expressive ability of the Pythagorean fuzzy set (PFS) in a circular relationship setting possessing symmetry, and can be applied to various decision-making situations other than the interpretation of media sentiments. This enables decision-makers to intuitively and flexibly compare alternatives based on many sentiment-relevant aspects, including classification accuracy, interpretability, computational efficiency, and generalization. The experiments are based on a hypothetical representation of media review datasets and test whether the model can combine human insight with algorithmic precision. Ultimately, this study presents a sound, structurally clear, and expandable framework of decision support to academicians and industry professionals involved in converging deep learning and opinion mining in entertainment analytics. Full article

Educators in America should be concerned about the failure of dialogue evident in television, newspapers, journals, and social media. Not only are people unable to talk and listen to each other, but some types of research are forbidden, stories are retracted in journals or newspapers because of a backlash, speakers are silenced on college campuses, and sometimes unfruitful conversations lead to violence. One is reminded of Raskolnikov’s dream in Dostoevsky’s Crime and Punishment, where the protagonist dreams of a plague that infects people with the idea that they alone have the truth, have the inability to understand each other, and end up destroying each other. The so-called “cancel culture” that we are suffering today is the fulfillment of this prophetic dream. It is rooted, not in modern technologies, but in the modern understanding of the person as an abstract, disengaged self that inevitably leads to empty conversations. What educators need today is to offer a richer metaphysics of the human person and an environment where students can learn what it means to grow in the truth together. In this paper, I will argue that (1) the failure of modern conversations is rooted in the flawed anthropology of modernity, (2) offer a richer metaphysics of the human person that can enable true dialogue, and (3) propose that Luigi Giussani’s Christian educational method can offer educators in the classroom a way to respond to cancel culture in a fruitful way. Full article

This study developed a deep learning–based water level recognition model using Closed-Circuit Television (CCTV) footage. The model focuses on real-time water level recognition in agricultural reservoirs that lack automated water level gauges, with the potential for future extension to flood forecasting applications. Video data collected over approximately two years at the Myeonggyeong Reservoir in Chungcheongbuk-do, South Korea, were utilized. A semantic segmentation approach using the U-Net model was employed to extract water surface areas, followed by the classification of water levels using Convolutional Neural Network (CNN), ResNet, and EfficientNet models. To improve learning efficiency, water level intervals were defined using both equal spacing and the Jenks natural breaks classification method. Among the models, EfficientNet achieved the highest performance with an accuracy of approximately 99%, while ResNet also demonstrated stable learning outcomes. In contrast, CNN showed faster initial convergence but lower accuracy in classifying complex intervals. This study confirms the feasibility of applying vision-based water level prediction technology to flood-prone agricultural reservoirs. Future work will focus on enhancing system performance through low-light video correction, multi-sensor integration, and model optimization using AutoML, thereby contributing to the development of an intelligent, flood-resilient water resource management system. Full article

Sports teams increasingly use nostalgia-based marketing to spark fan engagement and boost merchandise sales. Yet these efforts can also provoke backlash, especially when they resurrect contested imagery. This article examines how one such campaign—the New York Islanders’ 2015 revival of their controversial fisherman logo—was framed across team broadcasts and interpreted by fans on social media. Drawing on a qualitative textual analysis of television and radio coverage alongside a quantitative content analysis of 563 tweets, the study reveals a divide between institutional messaging and grassroots reaction. While team broadcasts emphasized charity and sentimental appeal, fan discourse was notably more critical, mocking the jersey’s design and recalling past failures. By positioning nostalgia not only as a branding asset but as a reputational risk, the article contributes a novel perspective to debates about commercialization, mediatization, and fan co-production in sports. It also demonstrates the value of mixed methods for analyzing how branding narratives are negotiated in real time. Full article

With the increasing frequency of digital economic activities on a global scale, internet governance has become a pressing issue. Traditional multilateral approaches to formulating internet governance rules have struggled to address critical challenges such as privacy leakage and low global internet defense capabilities. To tackle these issues, this study integrates SAR data processing and interpretation using AI techniques with the development of governance rules through international agreements and multi-stakeholder mechanisms. This approach aims to strengthen privacy protection and enhance the overall effectiveness of internet governance. This study incorporates differential privacy protection laws and cert-free cryptography algorithms, combined with SAR data analysis powered by AI techniques, to address privacy protection and security challenges in internet governance. SAR data provides a unique layer of spatial and environmental context, which, when analyzed using advanced AI models, offers valuable insights into network patterns and potential vulnerabilities. By applying these techniques, internet governance can more effectively monitor and secure global data flows, ensuring a more robust defense against cyber threats. Experimental results demonstrate that the proposed approach significantly outperforms traditional methods. When processing 20 GB of data, the encryption time was reduced by approximately 1.2 times compared to other methods. Furthermore, satisfaction with the newly developed internet governance rules increased by 13.3%. By integrating SAR data processing and AI, the model enhances the precision and scalability of governance mechanisms, enabling real-time responses to privacy and security concerns. In the context of the Global Digital Compact, this research effectively improves the standards, rules, and practical pathways for internet governance. It not only enhances the security and privacy of global data networks but also promotes economic development, social progress, and national security. The integration of SAR data analysis and AI techniques provides a powerful toolset for addressing the complexities of internet governance in a digitally connected world. Full article

Television formats are undergoing a redefinition of the audiovisual panorama marked by digitisation and the decrease in audiences. In this context, news coverage at times of special interest is an opportunity to regain relevance, and for this reason the morning magazine programmes are taking on the broadcasting of currently prevalent news, intervening in subjects traditionally reserved for news programmes. This paper analyses the news content of TV magazines in a context of hybridisation of genres that has blurred the acknowledged boundaries between the definitions of television programmes. To achieve this, we study the topics on the agenda and how the news is dealt with that is included in the two leading formats among the private and public channels with the biggest audiences in Spain: Espejo Público on Antena 3 and Mañaneros on Televisión Española. The results show that there is a process we call “news osmosis”, whereby the news is treated in a spectacular way, yet incorporating the language and aesthetics typical of the formality of news programmes. In this adaptation, the magazines impose themselves on the narration of the news scoop while restricting the thematic agenda, leaning towards a kind of reductionism in which the private channels choose to prioritise political conflict while the public channels concentrate on current incidents, understood here as newsworthy events of public interest (crimes or accidents). Full article

Crack initiation, propagation, and slippage serve as the key mesoscopic mechanisms contributing to the deterioration of deep tunnel surrounding rocks. In this study, a secondary anisotropy of deep tunnels surrounding rocks was proposed: The axial-displacement constraint of deep tunnels forces cracks in the surrounding rock to initiate, propagate, and slip in planes parallel to the tunnel axial direction. These cracks have no significant effect on the axial strength of the surrounding rock but significantly reduce the tangential strength, resulting in the secondary anisotropy. First, the secondary anisotropy was verified by a hybrid stress–strain controlled true triaxial test of sandstone specimens, a CT 3D (computed tomography three-dimensional) reconstruction of a fractured sandstone specimen, a numerical simulation of heterogeneous rock specimens, and field borehole TV (television) images. Subsequently, a novel SSA (strain-softening and secondary anisotropy) constitutive model was developed to characterise the secondary anisotropy of the surrounding rock and developed using C++ into a numerical form that can be called by FLAC^3D (Fast Lagrangian Analysis of Continua in 3 Dimensions). Finally, effects of secondary anisotropy on a deep tunnel surrounding rock were analysed by comparing the results calculated by the SSA model and a uniform strain-softening model. The results show that considering the secondary anisotropy, the extent of strain-softening of the surrounding rock was mitigated, particularly the axial strain-softening. Moreover, it reduced the surface displacement, plastic zone, and dissipated plastic strain energy of the surrounding rock. The proposed SSA model can precisely characterise the objectively existent secondary anisotropy, enhancing the accuracy of numerical simulations for tunnels, particularly for deep tunnels. Full article

In the context of eco-friendly e-commerce, understanding the psychological and experiential mechanisms that drive consumers’ online purchasing behavior is essential for promoting sustainable platform development. This study aims to fill a critical gap in the literature by examining how social interaction, entertainment, and sales promotion influence consumers’ purchase intentions through the mediating roles of perceived value and immersive flow experience. Grounded in the Stimulus–Organism–Response (S-O-R) theoretical framework, we developed a structural model and conducted an empirical analysis using survey data collected from 438 online shoppers. Data analysis was conducted using SPSS and AMOS through SEM. The results show that social interaction and sales promotion significantly enhance both perceived value and flow experience, which in turn positively influence consumers’ purchase intentions. However, entertainment exhibits a negative and significant effect on perceived value and does not significantly affect flow experience, indicating that hedonic content may not always translate into perceived usefulness or deep engagement. Moreover, the influence of social interaction on flow experience was also found to be negative and significant, suggesting that not all forms of interaction necessarily lead to immersive experiences. These findings highlight the complex psychological dynamics in digital consumption. This study contributes original insights by integrating psychological engagement mechanisms with the goal of digital sustainability, offering practical implications for online retailers aiming to enhance user engagement and platform longevity through experience-driven strategies. Full article

This study examines food safety and waste behaviours depicted in the televised cooking competition MasterChef, a globally franchised series that showcases diverse culinary traditions and influences viewers’ practices. The research focuses on the MasterChef editions aired in Turkey and the United Kingdom, two countries with distinctly different social and cultural contexts. Video content analysis, based on predefined criteria, was employed to assess observable behaviours related to food safety and waste. Additionally, content analysis of episode transcripts identified verbal references to these themes. Principal Component Analysis was employed to categorise patterns in the observed behaviours. The findings revealed frequent lapses in food safety, with personal hygiene breaches more commonly observed in MasterChef UK, while cross-contamination issues were more prevalent in MasterChef Turkey. In both versions, the use of disposable materials and the discarding of edible food parts emerged as the most common waste-related practices. These behaviours appeared to be shaped by the cultural and culinary norms specific to each country. The study highlights the importance of cooking shows in promoting improved food safety and waste management practices. It recommends involving relevant experts during production and clearly communicating food safety and sustainability messages to increase viewer awareness and encourage positive behaviour change. Full article

This research was designed to explore science-fiction and fantasy (SFF) posters, specifically those related to films and television shows, from the perspective of their owners, examining their potential as sources of social and cultural significance and meaning. The research explored these in terms of the content of the poster, placement, media texts they reference, morals, behavior, identity, sense of self, well-being and self-expression. Data collection took place between 2020 and 2022 via an online survey (N = 273) and follow-up semi-structured interviews (N = 28) with adult science-fiction and fantasy film and television show poster owners. The significance and meaning of SFF posters were framed by two conceptual models: ‘The Three Significances’—esthetics, functionality, and significance (both spatial and personal)—and ‘The Big Three’—content, design, and color. Among these, content held the greatest significance for owners. Posters served as tools for self-expression, reflecting their owners’ identities, affinities, and convictions, while also reinforcing their connection to the media they reference. Posters helped to reinforce a sense of self and fan identity and evoke emotional responses, and the space in which they were displayed helped shape their meaning and significance. The paper sets out some suggestions for future research in this important topic. Full article

This study contributes to the broader sustainability discourse by evaluating public knowledge, awareness, and practices regarding air pollution among residents of Hanoi, Vietnam, focusing on its causes, health impacts, and mitigation strategies. A cross-sectional survey was conducted with 521 individuals in suburbs around Hanoi. A multistage sampling technique, combining cluster and simple random sampling, was used for participant recruitment. Three central and three suburban districts of Hanoi were randomly selected as clusters. One individual from each household was invited to participate and answer a structured survey, which assessed perceptions of air pollution, its human-induced causes, recognised health impacts, and individual and community-level mitigation behaviours. Nearly all participants (98.3%) were aware of air pollution, with 65.3% attributing it to human activities and 61.2% recognising specific air pollutants as primary contributors. The majority (93.9%) acknowledged health impacts, citing respiratory infections (55.1%) and sinus issues (51.2%) as prevalent concerns. Vulnerable groups, such as children under 5 (82.3%) and adults over 65 years old (77.4%), were identified as disproportionately affected. Social media (68.9%) and television (58.3%) were the dominant sources of information. Despite a recognition of air pollution’s importance (98.5%), there was limited engagement in systemic sustainability actions, such as supporting renewable energy initiatives. Most participants (84.3%) reported personal mitigation efforts, including energy-saving practices (35.5%) and walking instead of driving a car or bike (35.3%). While awareness of air pollution and its health impacts is high among Hanoi residents, proactive engagement in systemic solutions remains limited. Policymakers should prioritise community-based programs, public–private partnerships, sustainability education, and culturally tailored policy interventions to bridge gaps between awareness and action. Tailored interventions addressing demographic and cultural factors are essential to fostering socio-environmental sustainability in rapidly urbanising contexts. Full article