Search Results (82)

Plant-based meat alternatives (PBMAs) are gaining increasing attention due to their potential role as substitutes for traditional meat products, driven by sustainability and health concerns related to animal production and consumption. Therefore, investigating and understanding consumer acceptance of less common PBMAs remains crucial. In this context, this research explored sensory expectations and actual experiences of a plant-based hotdog compared to a pork hotdog in a US sample. Using a within-subject design, participants (n = 88) evaluated both products before and after tasting, assessing overall liking, willingness to buy (WTB), and key sensory attributes. Furthermore, Check-All-That-Apply (CATA) batteries were used to explore product descriptors and situational appropriateness for consumption, while open-ended questions were employed to examine what consumers liked and disliked the most about the products in more detail. Results revealed no significant differences in expected liking between the two products before tasting. However, after tasting, the pork hotdog received significantly higher scores for both overall liking and WTB compared to the plant-based hotdog. Despite the plant-based product being associated with situations related to health and sustainability, it did not lead to the same appealing hedonic experience as the animal-based product. In addition, both penalty-lift analysis and text mining of the open-ended responses confirmed that consumers seek meaty characteristics in both animal- and plant-based hotdogs (e.g., “I don’t like how light the meat is” or “would like a more meat flavor”). This research provides valuable implications for policymakers and the food industry in terms of aligning strategies with consumers’ preferences and needs, supporting efforts to reduce red meat consumption and promote healthier, more sustainable dietary choices. Full article

Videogames (VGs) are highly attractive for children and young people. Although videogames were once viewed mainly as sources of distraction and leisure, they are now widely recognised as powerful tools for competence development across diverse domains. Designing and implementing a videogame is even more appealing for children and novice students than merely playing it, but developing programming competencies using a text-based language often constitutes a significant barrier to entry. This article presents the implementation and evaluation of a videogame development experience with university students using the Unity engine and its Visual Scripting block-based tool. Students worked in teams and successfully completed videogame projects, demonstrating substantial gains in programming and game construction skills. The adopted methodology facilitated learning, collaboration, and engagement. Building on a quasi-experimental design that compared a prior unit based on C# and MonoGame with a subsequent unit based on Unity Visual Scripting, the study analyses differences in performance, development effort, and motivational indicators. The results show statistically significant improvements in grades, reduced development time for core mechanics, and higher self-reported confidence when Visual Scripting is employed. The evidence supports the view of Visual Scripting as an effective educational strategy to introduce programming concepts without the syntactic and semantic barriers of traditional text-based languages. The findings further suggest that Unity Visual Scripting can act as a didactic bridge towards advanced programming, and that its adoption in secondary and primary education is promising both for reinforcing traditional subjects (history, language, mathematics) and for fostering foundational programming and videogame development skills in an inclusive manner. Full article

Enhancing blue infrastructure is a critical pathway to strengthening urban water resilience and improving living environments. However, divergent perceptions and demands among multiple stakeholders may lead to misalignment between governance priorities and implementation pathways, thereby limiting governance effectiveness. Recognizing and addressing these differences has become essential for enhancing the performance of blue infrastructure governance and public satisfaction. Taking Shaanxi Province as a case study, this research systematically identifies core issues and disparities in public demands regarding water governance of blue infrastructure by analyzing governmental documents and public demands. The study aims to support a shift in governance strategy from a “provision-driven” to a “demand-driven” approach. A “topic identification–demand extraction–problem diagnosis” framework is adopted: first, the LDA model is used to analyze government platform texts and derive a macro-level thematic framework; subsequently, the BERTopic model is applied to mine public comments and identify micro-level demands; finally, the Jaccard similarity algorithm is employed to compare the two sets of topics, revealing the gap between policy provisions and public demands. The findings indicate the following: first, government agendas are highly concentrated on macro-level strategies (the topic “Integrated Water Ecosystem Management and Strategic Planning” accounts for 72.91% of weighting), whereas public appeals focus on specific, micro-level daily concerns such as infrastructure quality, drinking water safety, and drainage blockages; second, the Jaccard semantic correlation between the two is generally low (ranging from 6.05% to 14.62%), confirming a significant “topic-term overlap”; third, spatial analysis further reveals a geographical mismatch, particularly in core urban areas, which exhibit a “system-lag” type of misalignment characterized by high public demand but insufficient governmental attention. The research aims to clarify governance discrepancies, providing a basis for optimizing policy priorities and enabling targeted governance, while also offering insights for establishing a sustainable water resource management system. Full article

Universities have become central arenas in which the terms of racial justice are negotiated, contested, and at times sanctioned. This article examines how decolonial discourse in Belgian higher education navigates the tension between dialogic and authoritative discourse. Decolonial discourse in Belgium tackles racial illiteracy or the lack of institutional capacity to engage with the histories and contemporary realities of race. The study draws on a qualitative analysis of thirteen publicly available documents, including open letters, manifestos, and institutional responses produced between 2017 and 2021, with a dialogic analysis of five key texts within the Ghent University Association. Using Bakhtin’s framework of dialogic and authoritative discourse, operationalised through Matusov and von Duyke’s concept of internally persuasive discourse (IPD), the analysis identifies three modes of responding to racial illiteracy: appeals to personal conviction (IPD1), the formulation of new institutional norms (IPD2), and dialogic inquiry that treats illiteracy as a shared pedagogical problem (IPD3). The findings show that while decolonial movements expose the structural and epistemic conditions that sustain racial illiteracy, institutional responses from students, staff, and governing bodies often address these critiques by enforcing ‘decolonial’ personal convictions and institutional norms, risking the reproduction of the very illiteracy they seek to remedy. The article concludes that decolonial transformation requires cultivating dialogic practices that position racial illiteracy as a collective site of learning within the university’s civic mission. Full article

This study proposes the Brand Identity–Image Convergence Model (BIICM) as an integrative framework for analyzing how animated cultural content contributes to nation branding within digital ecosystems. Focusing on the global reception of K-Pop Demon Hunters, the research examines 12,000 YouTube comments in six languages to assess the degree of alignment between Korea’s domestic brand identity aspirations and its international brand image perceptions. The BIICM operationalizes convergence through computational text analysis of user-generated content, enabling empirical measurement across six brand dimensions. Findings reveal substantial variation among these dimensions: while entertainment excellence demonstrated strong congruence between domestic and international perceptions, dimensions such as modern innovation and tourism appeal exhibited significant divergence. Complementary social network analysis identified distinct communicative structures across linguistic communities, with Korean networks displaying higher density and foreign networks greater modularity—indicating different modes of cultural diffusion and engagement. By bridging identity construction and audience perception within a unified analytical model, this study advances theoretical understanding of nation branding in interactive media environments. The results offer actionable insights for policymakers and cultural strategists, suggesting that animated cultural content attains the highest brand convergence through entertainment-oriented narratives, yet necessitates more deliberate strategies to strengthen innovation and tourism associations in Korea’s global brand architecture. Full article

Terror organizations increasingly utilize the media and especially digital platforms to disseminate strategic messages, particularly during conflicts. This study examines how Hamas employed hostage videos and other related publications as a form of strategic communication during the first 20 months of the 2023–2025 war with Israel. Drawing on qualitative content analysis of 166 media outputs published on Hamas’s official Telegram channel, including videos, infographics, and a few text-based posts, the study identifies five distinct genres: proof of life, revealing the hostages’ fate, rage or call for help, messages to hostage families or the Israeli public, and hostage release videos. Each genre reflects a specific communicative strategy, varying in tone, target audience, emotional appeal, and timing. The findings reveal that Hamas’s media operations are characterized by a high degree of intentionality, with different genres employed to advance political objectives, ranging from negotiation pressure and public mobilization to projecting legitimacy and resilience. The study contributes to the growing literature on terrorism and strategic communication, illustrating how non-state actors leverage visual media and emotional narratives to wage parallel battles over image, perception, and legitimacy. Full article

While the capability of generative AI to generate high-quality content is well-recognized, there is still a lack of in-depth research on its actual impact on marketing effectiveness within real-world marketing environments. This study addresses this gap by conducting experiments to examine the effects of AI-generated advertisement images, created using text-to-image diffusion models, on consumer responses and the boundary conditions of these effects. Study 1 (n = 130) found that for coffee ads, attitudes were descriptively higher toward AI-generated images (η_p² = 0.17), whereas for medical-aesthetics and public-service ads, evaluations favored human-made images; none of these differences reached significance. Study 2 (n = 79) revealed that when consumers were informed about the source of the image (AI or human), they showed significantly more positive attitudes toward human-made images than those generated by AI (d = 0.52). Study 3 (n = 209) demonstrated that in commercial advertising contexts where usage motivations were disclosed, consumers’ negative reactions to AI-generated images were moderated by the specific usage motivation (η² = 0.04). When the motivation was privacy protection, evaluations were comparable to human-made images. In contrast, visual appeal produced slightly lower but non-significant ratings, whereas cost efficiency led to significant declines in trust and purchase intention, with attitude showing only marginal decreases and preference no differences. This study aims to understand the innovative potential of generative AI and provides critical insights for businesses, consumers, and policymakers regarding its effective utilization. Full article

This study aims to bridge the research gap emerging from the relationships between Visual electronic Word-of-Mouth (VeWOM) and brand factors, and their impact on consumers’ behavior by exploring the causal effects of eWOM attributes on hotel brand factor spreading through Brand Awareness (BA) and Brand Perceived Value (BV) and its consequences on Purchase Decisions (PD) in the hospitality context. Attribution Theory was extended to incorporate brand-mediated effects and crisis-specific factors. The study investigates the impact of VeWOM on consumer Purchase Decisions (PD) in terms of hotel room bookings in the British hospitality market, emphasizing the mediating role of brand-related constructs. Drawing on Attribution Theory, the research proposes a structural model to assess both direct and indirect pathways through which VeWOM influences behavioral outcomes. A stratified, non-probability sampling approach yielded 443 valid responses from hotel bookers who engaged with user-generated visual content prior to booking. The Partial Least Squares Structural Equation Model (PLS-SEM) was employed to test the hypothesized relationships. The findings reveal that VeWOM significantly influences Brand Value (BV), eWOM Credibility, and Information Quality, which in turn shape consumer purchase behavior. Crucially, Brand Value emerges as a key mediating variable, bridging VeWOM and Purchase Decisions, while VeWOM alone does not directly affect booking behavior. Moreover, Brand Awareness showed no significant mediating effect. The study underscores the indirect attribution process in visual review contexts, demonstrating that the influence of VeWOM is channeled primarily through brand perception mechanisms rather than direct persuasion. These insights extend Attribution Theory by highlighting the distinct cognitive pathways activated by visual content compared to text-based reviews. Practically, the research suggests that hoteliers should focus on enhancing Brand Value via bundled offerings and relationship-based marketing rather than relying solely on visual appeal or awareness to drive bookings. The study contributes to the growing body of VeWOM literature by clarifying its nuanced effects on decision-making in digital hospitality environments. Full article

Urban green spaces (UGSs) and forests play a vital role in shaping sustainable and livable cities, offering not only ecological benefits but also spaces that are essential for human well-being, social interactions, and everyday life. Understanding the landscape features that resonate most with public preferences is essential for enhancing the appeal, accessibility, and functionality of these environments. However, traditional approaches—such as surveys or single-data analyses—often lack the nuance needed to capture the complex and multisensory nature of human responses to green spaces. This study explores a cross-modal methodology that integrates natural language processing (NLP) and deep learning techniques to analyze text and image data collected from public reviews of 19 urban parks in Nanjing. By capturing both subjective emotional expressions and objective visual impressions, this study reveals a consistent public preference for natural landscapes, particularly those featuring evergreen trees, shrubs, and floral elements. Text-based data reflect users’ lived experiences and nuanced perceptions, while image data offers insights into visual appeal and spatial composition. By bridging human-centered insights with data-driven analysis, this research provides a robust framework for evaluating landscape preferences. It also underscores the importance of designing green spaces that are not only ecologically sound but also emotionally resonant and socially inclusive. The findings offer valuable guidance for the planning, design, and adaptive management of urban green infrastructure in ways that support healthier, more responsive, and smarter urban environments. Full article

This study investigates the influences of the packaging design of not from concentrate (NFC) orange juice on consumer sensory preferences and purchase intention. We conducted a laboratory experiment with eighty-one individuals, combining physiological measurements (eye-tracking to assess attention levels) and sensory evaluation (tasting and rating their overall satisfaction with the taste). Participants evaluated different bottles featuring three design elements (transparency, color, label) but with the same juice inside. In line with the literature on the design of packaging, we show that the position of the transparency, color, and text label consistently alters consumer attention levels and sensory preferences for NFC orange juice. We believe that such findings may guide brand managers and product designers to create more appealing beverage packaging to optimize potential market success. Full article

The current methods for removing thick clouds from remote-sensing images face significant limitations, including the integration of thick cloud images with synthetic aperture radar (SAR) ground information, the provision of meaningful guidance for SAR ground data, and the accurate reconstruction of textures in cloud-covered regions. To overcome these challenges, we introduce SAR-DeCR, a novel method for thick cloud removal in satellite remote-sensing images. SAR-DeCR utilizes a diffusion model combined with the transformer architecture to synthesize accurate texture details guided by SAR ground information. The method is structured into three distinct phases: coarse cloud removal (CCR), SAR-Fusion (SAR-F) and cloud-free diffusion (CF-D), aimed at enhancing the effectiveness of the thick cloud removal. In CCR, we significantly employ the transformer’s capability for long-range information interaction, which significantly strengthens the cloud removal process. In order to overcome the problem of missing ground information after cloud removal and ensure that the ground information produced is consistent with SAR data, we introduced SAR-F, a module designed to incorporate the rich ground information in synthetic aperture radar (SAR) into the output of CCR. Additionally, to achieve superior texture reconstruction, we introduce prior supervision based on the output of the coarse cloud removal, using a pre-trained visual-text diffusion model named cloud-free diffusion (CF-D). This diffusion model is encouraged to follow the visual prompts, thus producing a visually appealing, high-quality result. The effectiveness and superiority of SAR-DeCR are demonstrated through qualitative and quantitative experiments, comparing it with other state-of-the-art (SOTA) thick cloud removal methods on the large-scale SEN12MS-CR dataset. Full article

In separate traditions in the HB, the Rephaim are presented either as a living group of gigantic warriors or as shadowy figures of the underworld of Sheol. They are referred to as the rp’um in earlier Amorite Ugaritic texts, in which their role and status are much debated. This paper offers a hypothesis that, first, tracks rp’um/Rephaim antecedent traditions from the Sumerian heroic and funerary practices adopted by the Amorites to the tradition of the rp’um of the Ugaritic literature, and then tracks them on to the HB, through the Amorite connection to Mlk/Molech, in two different regional traditions found in the HB. Literary analysis and cross-cultural evidence regarding the Amorites are used to demonstrate the plausibility of this hypothesis. This paper also puts forth that: the name Hammurapi is a reference to a funerary practice and is a titular name; rpi is employed in its more basic sense of meaning “to restore/mend”; rp’um, following Good, is the passive participle, “restored/healed ones”; and Deut 2:10–11 and the biblical King Og texts do not support the Israelites having encountered living Rephaim warriors. Tracking the heroic and death-culture traditions shows that the antecedents to the biblical Rephaim were likely originally heroic-age warriors who, upon death, were cared for and were appealed to through funerary rituals for some benefit. However, these Amorite traditions were not fully understood by the Israelites when they encountered them and appropriated aspects in their representation of the Rephaim. Full article

The Bīsotūn inscription of Darius I (DB) is a masterpiece of ancient literature containing descriptions of historical events, imperial propaganda, cultic statements, ethical instructions, wisdom insights, blessings and curses, and engagements with posterity. It was disseminated far and wide within the empire and left a lasting impression on the cultures with which it came into contact. However, a specific section of this royal inscription (DB 4:36–92), carefully crafted to address future audiences in the second person, stands out sharply from the rest of the text. This passage has made a striking, profound, and durable impression on future generations—which extended over the longue durée in both time and space. This article focuses on the decisive cultic theme undergirding DB in general and its fourth column in particular namely, the king’s profound sense of imitatio dei in the cosmic battle against “the Lie,” complemented by his appeal to an imitatio Darii by all future audiences of his words. The impact of this call can be traced in later literature: in a DB variant found at Elephantine and, most notably, a hitherto unknown exegetical legend found in Qumran, which seeks to explain this portion of DB through an Achaemenid court tale. Full article

Divine rebaptism occurs when a deity renames an entity with a proper name N*, which is pronounced differently or is orthographically distinct from the proper name N this entity previously had. Genesis 17:5 and 17:15 illustrate this phenomenon or alleged phenomenon while raising two questions not yet addressed. First, the identity question: Are those named “Abram” and “Sarai”, respectively, identical to those named “Abraham” and “Sarah” in Genesis? Second, the semantic question: What picture of the semantics of proper names best accounts for the divine rebaptisms portrayed in Genesis? This essay begins by motivating these questions; it indicates that they should—in an interdisciplinary fashion—appeal to Pentateuch specialists and philosophers interested in the semantics of proper names. Then, a case is made for the claim that though Genesis does not provide sufficient evidence to answer the identity question, it indicates a response to the semantic one: that especially in Genesis 17:5 and 17:15, this text points to gradation semantics. This is the view that proper names have the properties of being meaningful, indirect, flaccid, flexible, and lexically univocal in distinct degrees, depending on their context of use. Full article

The integration of generative artificial intelligence (GenAI) in higher education has opened new avenues for enhancing academic writing through student–chatbot interactions. While initial research has explored this potential, deeper insights into the nature of these interactions are needed. This study characterizes graduate students’ interactions with AI chatbots for academic writing, focusing on the types of assistance they sought and their communication style and tone patterns. To achieve this, individual online sessions were conducted with 43 graduate students, and their chatbot interactions were analyzed using qualitative and quantitative methods. The analysis identified seven distinct types of assistance sought by students. The most frequent requests involved content generation and expansion, followed by source integration and verification, and then concept clarification and definitions. Students also sought chatbot support for writing consultation, text refinement and formatting, and, less frequently, rephrasing and modifying content and translation assistance. The most frequent communication style was “requesting,” marked by direct appeals for assistance, followed by “questioning” and “declarative” styles. In terms of communication tone, “neutral” and “praising” appeals dominated the interactions, reflecting engagement and appreciation for chatbot responses, while “reprimanding” tones were relatively low. These findings highlight the need for tailored chatbot interventions that encourage students to seek AI assistance for a broader and more in-depth range of writing tasks. Full article