Search Results (519)

The shift toward experience-oriented travel has positioned food as a central driver for attracting visitors to sustainable destinations, directly supporting United Nations Sustainable Development Goal (SDG)11 (resilient cities) and SDG 12 (responsible consumption). While prior research has predominantly emphasised marketing outcomes, the role of bodily experiences in shaping gastronomic tourism has received less attention. This study explores how sensory elements (sight, sound, smell, taste, and touch) and non-sensory elements (including cultural meaning and service quality) jointly influence food-related travel experiences. Twenty-five self-identified food travellers were interviewed in a United Nations Educational, Scientific and Cultural Organization (UNESCO) City of Gastronomy, and their narratives were analysed using a three-stage grounded theory approach in NVivo 12. The resulting model identifies four interrelated dimensions: (1) embodied experience, grounded in culinary memories and shared cultural narratives; (2) sensory stimulation arising from food and its surroundings; (3) situated embodiment, shaped by location, timing, and social interaction; and (4) environmental perception, encompassing food presentation, facility quality, cleanliness, and pricing fairness. These dimensions interact to enhance overall experience quality. By integrating an embodied perspective with a sustainability focus, this study advances tourism experience research and offers practical guidance for designing multisensory dining environments, fostering environmentally responsible visitor behaviour, and ensuring a balanced relationship between price and perceived value. Full article

This study examines the intersection of renewable energy and tourism by exploring why domestic tourists visit wind farm sites for recreation. Traditionally seen as industrial facilities, wind farms are now recognized as dual-purpose attractions that promote environmental awareness and local economic growth. Using the Value–Belief–Norm (VBN) theory, Theory of Planned Behavior (TPB), and New Environmental Paradigm (NEP) as theoretical lenses, we investigate the psychological, social, and cultural factors influencing wind farm tourism. The key determinants of tourist behavior include attitudes, subjective norms, perceived behavioral control, personal norms, and environmental beliefs. Structural equation modeling (SEM) indicates that personal norms have the strongest direct impact on tourists’ intentions (underscoring the importance of internalized moral obligations in this context), with additional indirect effects through environmental citizenship factors. The findings highlight wind farms’ potential to foster sustainability, community engagement, and rural development. Managerial recommendations include providing visitor amenities, targeted marketing, and community involvement to enhance wind farms’ appeal as tourism destinations. This study contributes to tourism theory by expanding the definition of attractions to include renewable energy sites. Future research should examine the moderating role of past behavior and incorporate additional environmental citizenship variables to deepen insights into wind farm tourism. Full article

This study intends to provide insights and challenges for the shape of the B movement, an emerging paradigm that fosters cross-sectoral partnerships and encourages ethical business practices through so-called purpose-driven businesses. Focusing on Italy, the first European country to adopt this managerial model, the research investigates Italian Benefit Corporations, known as Società Benefit (SB), and their most appealing sustainability claims from a consumer perspective. The analysis intends to inform theory development by assuming the cultural and creative industry (CCI) as a field of interest, utilizing a within-subjects experimental design to analyze data from a diverse consumer sample across various contexts. The results indicate that messaging centered on economic sustainability emerged as the most effective in generating positive consumer responses, highlighting a prevailing inclination toward pragmatic factors such as affordability, economic accessibility, and tangible benefits rather than social issues. While sustainable behaviors are not yet widespread, latent ethical sensitivity for authentic, value-driven businesses suggests that economic and ethical dimensions can be strategically synthesized to enhance consumer engagement. This insight highlights the role of BCs in catalyzing a shift in consumption patterns within ethical-based and creative-driven sectors. Full article

Introduction. Larvae of the insect Hermetia illucens can represent an alternative source for low-molecular-weight chitosan (CS) production compared with CS from crustaceans (CS_crustac), making it appealing in terms of pharmaceutical applications. Hence, the performances of CS_larvae and CS_crustac were compared herein by investigating the in vitro features of nanoparticles (NPs) made from each polysaccharide and administered with the antioxidant quercetin (QUE). Methods. X-ray diffraction and FT-IR spectroscopy enabled the identification of each type of CS. Following the ionic gelation technique and using sulfobutylether-β-cyclodextrin as a cross-linking agent, NPs were easily obtained. Results. Physicochemical data, release studies in PBS, and the evaluation of antioxidant effects via the 1,1-diphenyl-2-picrylhydrazyl (DPPH) test were studied for both CS_larvae and CS_crustac. QUE-loaded NP sizes ranged from 180 to 547 nm, and zeta potential values were between +7.5 and +39.3 mV. In vitro QUE release in PBS was faster from QUE-CS_larvae NPs than from CS_crustac, and high antioxidant activity—according to the DPPH test—was observed for all tested NP formulations. Discussion. The agar diffusion assay, referring to Escherichia coli and Micrococcus flavus, as well as the microdilution assay, showed the best performance as antimicrobial formulations in the case of QUE-CS_larvae NPs. QUE-CS_larvae NPs can represent a promising vehicle for QUE, releasing it in a sustained manner, and, relevantly, the synergism noticed between QUE and CS_larvae resulted in a final antimicrobial product. Conclusions. New perspectives for low-molecular-weight CS are disclosed by adopting renewable sources from insects instead of the commercial CS_crustac. Full article

As sustainable cultural heritage tourism increasingly demonstrates its unique value and appeal, effectively stimulating tourists’ emotional experiences and value co-creation behaviors has become a focal issue. This study investigates how multiple tourist motivations (self-enhancement, escapism, and social interaction) shape value co-creation through emotional mediators—namely aesthetic, nostalgic, and flow experiences. Data were collected from 470 valid responses from visitors to the UNESCO-listed Suzhou Classical Gardens in China and analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that these emotional experiences significantly drive value co-creation behavior: self-enhancement motivation enhances all three experiences, escapism mainly promotes nostalgic and flow experiences, and social interaction primarily affects aesthetic experience. These findings clarify the psychological mechanisms through which tourists’ motivations and emotional experiences influence value co-creation behavior in cultural heritage tourism. This research advances our understanding of the motivation–experience–behavior framework and emphasizes that enhancing emotional engagement is key to fostering sustainable cultural heritage tourism practices. The study provides practical implications for designing experiences and strategies that balance visitor satisfaction with the long-term vitality of cultural heritage sites and local communities, thereby contributing to broader sustainable development goals. Full article

Legumes are vital sources of protein, dietary fibre and nutrients, making them crucial for global food security and sustainable agriculture. However, their widespread acceptance and consumption are often limited by undesirable sensory characteristics, such as “a beany flavour”, bitterness or variable textures. Addressing these challenges requires a comprehensive understanding of the complex molecular mechanisms governing appearance, aroma, taste, flavour, texture and palatability in legumes, aiming to enhance their sensory appeal. This review highlights the transformative power of multi-omics approaches in dissecting these intricate biological pathways and facilitating the targeted enhancement of legume sensory qualities. By integrating data from genomics, transcriptomics, proteomics and metabolomics, the genetic and biochemical networks that directly dictate sensory perception can be comprehensively unveiled. The insights gained from these integrated multi-omics studies are proving instrumental in developing strategies for sensory enhancement. They enable the identification of key biomarkers for desirable traits, facilitating more efficient marker-assisted selection (MAS) and genomic selection (GS) in breeding programs. Furthermore, a molecular understanding of sensory pathways opens avenues for precise gene editing (e.g., using CRISPR-Cas9) to modify specific genes, reduce off-flavour compounds or optimise texture. Beyond genetic improvements, multi-omics data also inform the optimisation of post-harvest handling and processing methods (e.g., germination and fermentation) to enhance desirable sensory profiles and mitigate undesirable ones. This holistic approach, spanning from the genetic blueprint to the final sensory experience, will accelerate the development of new legume cultivars and products with enhanced palatability, thereby fostering increased consumption and ultimately contributing to healthier diets and more resilient food systems worldwide. Full article

Amid ongoing societal development, tourists’ travel behavior patterns have been undergoing substantial transformations, and understanding their evolution has emerged as a key area of scholarly interest. Taking Beijing as a case study, this research aims to uncover the spatiotemporal evolution patterns of tourist flows and their underlying driving mechanisms. Based on digital footprint relational data, a dual-perspective analytical framework—“tourist perception–tourist flow network”—is constructed. By integrating the center-of-gravity model, social network analysis, and regression models, the study systematically examines the dynamic spatial structure of tourist flows in Beijing from 2012 to 2024. The findings reveal that in the post-pandemic period, Beijing tourists place greater emphasis on the cultural connotation and experiential aspects of destinations. The gravitational center of tourist flows remains relatively stable, with core historical and cultural blocks retaining strong appeal, though a slight shift has occurred due to policy influences and emerging attractions. The evolution of the spatial network structure reveals that tourism flows have become more dispersed, while the influence of core scenic spots continues to intensify. Government policy orientation, tourism information retrieval, and the agglomeration of tourism resources significantly promote the structure of tourist flows, whereas the general level of tourism resources exerts no notable influence. These findings offer theoretical insights and practical guidance for the sustainable development and regional coordination of tourism in Beijing, and provide a valuable reference for the spatial restructuring of urban tourism in the post-COVID-19 era. Full article

Parrotia subaequalis is a rare and endangered deciduous tree native to China, valued for its vibrant autumn foliage and ornamental appeal. Its leaves exhibit striking coloration, ranging from red to yellow and purple, yet the physiological and molecular mechanisms behind this variation remain poorly understood. Here, we combined transcriptomic, metabolomic, and physiological analyses to investigate pigment changes within the yellow leaf phenotype of P. subaequalis. Our findings revealed significant differences in gene expression and metabolic profiles between yellow and green leaves, particularly in starch and sucrose metabolism, photosynthesis, and carbon metabolism. Yellow leaves exhibited reduced photosynthetic capacity and carotenoid levels, alongside increased D-glucose concentration. These findings suggest that visible color transitions are likely driven by coordinated changes in carbohydrate metabolism, photosynthetic function, and organic compound accumulation. This study provides novel insights into the molecular and physiological mechanisms governing leaf pigmentation in an endangered tree, with useful information relevant to their conservation and sustainable utilization. Full article

Plant-derived vesicle-like nanoparticles (PDVLNs) are bioactive nanovesicles secreted by plant cells, emerging as a novel therapeutic tool for tissue repair and regeneration due to their low immunogenicity, intrinsic bioactivity, and potential as drug delivery carriers. This review examines PDVLNs’ biogenesis mechanisms, isolation techniques, and compositional diversity, emphasizing their roles in promoting essential regenerative processes—cell proliferation, differentiation, migration, immune modulation, and angiogenesis. We explore their therapeutic applications across multiple tissue types, including skin, bone, neural, liver, gastrointestinal, cardiovascular, and dental tissues, using both natural and engineered PDVLNs in various disease models. Compared to mammalian exosomes, PDVLNs offer advantages such as reduced immune rejection and ethical concerns, enhancing their sustainability and appeal for regenerative medicine. However, challenges in clinical translation, including scalability, standardization, and safety remain. This paper consolidates current knowledge on PDVLNs, highlighting their versatility and providing insights into engineering strategies to optimize efficacy, ultimately outlining future research directions to advance their clinical potential. Plant vesicle-like nanoparticles (PDVLNs) may become a new avenue for the treatment of tissue injury, promoting tissue repair and regeneration through their intrinsic bioactivity or as drug delivery carriers. In addition, PDVLNs can be engineered and modified to achieve better results. Full article

In sharp contrast to photocatalysis and other prevalent catalytic technologies, tribocatalysis has emerged as a promising technology to degrade high-concentration organic dyes in recent years. In this study, BaTiO₃ (BTO) nanoparticles were challenged to degrade methyl orange (MO) solutions with unprecedentedly high concentrations through magnetic stirring. With BTO nanoparticles and home-made PTFE magnetic rotary disks in 50 mg/L MO solutions, 10 h of magnetic stirring resulted in 91.4% and 98.1% degradations in an as-received glass beaker and in a beaker with a PTFE disk coated on its bottom, respectively. Even for 100 mg/L MO solutions, nearly complete degradation was achieved by magnetic-stirring-stimulated BTO nanoparticles in beakers with the following four kinds of bottom: 97.3% degradation in 30 h for a glass bottom, 97.4% degradation in 20 h for a PTFE coating, 97.9% degradation in 42 h for a Ti coating, and 97.4% degradation in 74 h for an Al₂O₃ coating. Electron paramagnetic resonance (EPR) analyses revealed that the generation of reactive oxygen species (ROS) by magnetic-stirring-stimulated BTO nanoparticles is dramatically affected by the bottom material of beakers. These findings suggest an appealing prospect for BTO nanoparticles to utilize mechanical energy for sustainable water remediation. 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

Greater amberjack (Seriola dumerili) shows potential for Mediterranean aquaculture due to its swift growth, consumer appeal, and commercial value. However, challenges in juvenile production, such as growth dispersion and unsynchronized development, impede further expansion. This study explores the impact of rearing temperature and live feed types on early white muscle development in greater amberjack larvae. Findings reveal substantial effects of temperature and diet on larval development, highlighting that the combination of 24 °C and a copepod + rotifer co-feeding scheme resulted in the highest axial growth rate, whereas rotifer-fed larvae at 20 °C exhibited a slower pace. Incorporating both histological and gene expression analyses, the study underscores temperature’s significant influence on white muscle development. Among larvae reared at 24 °C, the two live feed types led to phenotypic variations at metamorphosis, with rotifers supporting longer larvae featuring a smaller total cross-sectional area compared to copepods. Gene expression analysis indicates heightened mylpfb and myog expression at 24 °C during early larval stages, suggesting increased hyperplasia and myoblast differentiation. This study highlights the necessity of considering both temperature and feed type in larval rearing practices for optimal muscle development, and further research exploring combined diets during rearing could offer insights to enhance amberjack aquaculture sustainability. Full article

The use of AI-generated content in education is significantly increasing, but its reliability for teaching natural sciences and, more specifically, biodiversity-related contents still remains understudied. The need to address this question is substantial, considering the relevance that biodiversity conservation has on human sustainability, and the recurrent presence of these topics in the educational curriculum, at least in Spain. The present article tests the existence of biases in some of the most widely used AI tools (ChatGPT-4.5, DeepSeek-V3, Gemini) when asked a relevant and objective research question related to biodiversity. The results revealed both taxonomic and geographic biases in all the lists of endangered species provided by these tools when compared to IUCN Red List data. These imbalances may contribute to the perpetuation of plant blindness, zoocentrism, and Western centrism in classrooms, especially at levels where educators lack specialized training. In summary, the present study highlights the potential harmful impact that AI’s cultural and social biases may have on biodiversity education and Sustainable Development Goals-aligned learning and appeals to an urgent need for model refinement (using scientific datasets) and teacher AI literacy to mitigate misinformation. Full article

To date, there has been a noticeable lack of a systematic and structured approach to the development of forest therapy tourism. This study addresses this problem by introducing a forest tourism attractiveness model and an evidence-based framework for the conceptual development of Forest Climatic Spa Resorts. Based on an attributive theory approach, a comprehensive set of forest tourism attractiveness attributes is defined, a model of forest tourism attractiveness is developed, and theoretical and conceptual foundations to support the criteria for the development of Forest Climatic Spa Resorts are presented. This research contributes to the ongoing discourse on sustainable tourism practices and emphasises the role of forest environments in promoting health and well-being in therapeutic tourism activities. Ultimately, our findings offer valuable insights for policymakers, tourism developers, and practitioners in the field of forest therapy tourism, providing a foundation for future initiatives aimed at enhancing the appeal and sustainability of forest-based tourism experiences. Full article

The mechanism for the upscale deposition of energy into the atmosphere from molecules and photons up to organized wind systems is examined. This analysis rests on the statistical multifractal analysis of airborne observations. The results show that the persistence of molecular velocity after collision in breaking the continuous translational symmetry of an equilibrated gas is causative. The symmetry breaking may be caused by excited photofragments with the associated persistence of molecular velocity after collision, interaction with condensed phase surfaces (solid or liquid), or, in a scaling environment, an adjacent scale having a different velocity and temperature. The relationship of these factors for the solution to the Navier–Stokes equation in an atmospheric context is considered. The scale invariant version of Gibbs free energy, carried by the most energetic molecules, enables the acceleration of organized flow (winds) from the smallest planetary scales by virtue of the nonlinearity of the mechanism, subject to dissipation by the more numerous average molecules maintaining an operational temperature via infrared radiation to the cold sink of space. The fastest moving molecules also affect the transfer of infrared radiation because their higher kinetic energy and the associated more-energetic collisions contribute more to the far wings of the spectral lines, where the collisional displacement from the central energy level gap is greatest and the lines are less self-absorbed. The relationship of events at these scales to macroscopic variables such as the thermal wind equation and its components will be considered in the Discussion section. An attempt is made to synthesize the mechanisms by which winds are generated and sustained, on all scales, by appealing to published works since 2003. This synthesis produces a view of the general circulation that includes thermodynamics and the defining role of turbulence in driving it. Full article