Iskanje po repozitoriju

Opis: Instagram is a key visual social media platform that enables tourism organisations to showcase destinations. Understanding how destination image is constructed on social media and how the destination’s identity and authenticity are promoted is crucial for effective destination marketing strategies. However, promotional practices might vary among tourism organisations, i.e. local, regional, and national, potentially creating different identities and authenticity. With Dubrovnik gaining worldwide attention through the popular TV series Game of Thrones, the study examines the strategies employed by national and local tourism organisations in the city’s social media promotion. Using a summative approach, we conducted a content analysis of 1,034 photographs posted between 2016 and 2020 on the official Instagram profiles of national and local tourism organisations. Findings reveal that Dubrovnik’s relationship with Game of Thrones is highly leveraged at the national level, constructing a fabricated sense of authenticity. However, the social media communication by the local tourism organisation emphasises heritage and nature, thereby safeguarding its authenticity. This discrepancy underscores distinct communication strategies and highlights the importance of understanding these differences for effective destination marketing.
Ključne besede: film tourism, social media, destination image, authenticity, Game of Thrones
Objavljeno v RUP: 21.07.2026; Ogledov: 489; Prenosov: 16
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Opis: Time spent in nature benefits human mental and physical well-being. However, much of the variance in out- comes of nature contact remains unexplained, suggesting that new mechanistic pathways need to be considered. Here, we tested a novel conceptual model linking nature contact with life satisfaction via pathways involving positive experiences of living in and experiencing the world through the physical self. Using data from the Body Image in Nature Survey (BINS; N = 50,363), representing respondents from 58 nations and speaking 36 different languages, we find that nature contact is associated with greater self-compassion and greater perceived resto- ration in nature, which in turn are associated with more positive body image. In addition, more positive body image is associated with greater life satisfaction. These associations were robust to sensitivity tests, generalised to all gender identities and age groups, and held individually in almost all national groups and languages. Although replications are needed, we propose that the materialities of natural environments help to link bodily experiences to the production and experience of well-being, a process that is largely stable across national groups.
Ključne besede: body image, connectedness to nature, perceived restoration, nature contact, life satisfaction, self-compassion
Objavljeno v RUP: 10.07.2026; Ogledov: 590; Prenosov: 68
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Opis: The study aims to address research gaps in Vietnam’s gastronomy tourism by developing and validating a new visit intention model based on the Theory of Planned Behaviour (TPB). The model incorporates the concepts of gastronomic destination image and novelty-seeking to gain a comprehensive understanding of domestic tourists’ intention to visit Ho Chi Minh City, a leading gastronomic destination in Vietnam. Primary data were collected from 417 domestic tourists through a questionnaire survey conducted in Ho Chi Minh City from April to August 2023. Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to test the proposed model and examine the relationships among novelty seeking, gastronomic image, attitudes, subjective norms, perceived behavioural control, and visit intention. The findings indicate that novelty-seeking, gastronomic image, and the core TPB constructs play a crucial role in explaining the intention to visit a gastronomic destination. The model explains 71.2% of the variance in visit intention, with domestic tourists’ visit intention being strongly influenced by the desire for novel culinary experiences and the attractiveness of Ho Chi Minh City’s gastronomic image. This study reaffirms the applicability of the extended TPB framework in explaining visit intention toward gastronomy destinations. The significant findings provide empirical evidence from Vietnam, clarifying how novelty-seeking and gastronomic image strengthen visit intention. The study also provides practical guidance for local authorities and tourism marketers to enhance Ho Chi Minh City’s competitiveness and support sustainable tourism development goals (SDG 11).
Ključne besede: gastronomic image, novelty seeking, TPB model, visit intention, Sustainable Development Goals (SDG 11), Ho Chi Minh City
Objavljeno v RUP: 06.03.2026; Ogledov: 759; Prenosov: 35
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Opis: Brain MRI segmentation plays a crucial role in neuroimaging studies and clinical trials by enabling the precise localization and quantification of brain tissues and structures. The advent of deep learning has transformed the field, offering accurate and fast tools for MRI segmentation. Nevertheless, several challenges limit the widespread applicability of these methods in practice. In this systematic review, we provide a comprehensive analysis of developments in deep learning-based segmentation of brain MRI in adults, segmenting the brain into tissues, structures, and regions of interest. We explore the key model factors influencing segmentation performance, including architectural design, choice of input size and model dimensionality, and generalization strategies. Furthermore, we address validation practices, which are particularly important given the scarcity of manual annotations, and identify the limitations of current methodologies. We present an extensive compilation of existing segmentation works and highlight the emerging trends and key results. Finally, we discuss the challenges and potential future directions in the field.
Ključne besede: magnetic resonance imaging, brain, image segmentation, deep learning
Objavljeno v RUP: 10.10.2025; Ogledov: 1719; Prenosov: 25
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Ključne besede: YOLOv8, image segmentation, region-based convolutional neural network
Objavljeno v RUP: 26.08.2024; Ogledov: 2857; Prenosov: 35
Celotno besedilo (16,54 MB)