(Main Section: Urban-Rural Regeneration and Cultural Sustainability)

Recently, self-wedding photographs have become popular among soon-to-be married couples, affecting tourism and industry in Jeju Island. From the research on three sites, St. Isidore Farm, Camellia Hill and Saryeoni Forest Trail, this article argues that photographers and self-wedding photographing tourists\u27 role can be important in attracting new visitors by sharing photos through social networking sites. Using a mixed-methods approach - including analysing Instagram photo postings, on-site interviews with managers of the destinations and self-wedding photographers, and questionnaires with self wedding photographing tourists - this study examines the process of discovering new sightseeing places by tourists through self-wedding photographs. The paper also identifies the characteristics of the photogenic spots and records the changes in places caused by these tourists. This paper challenges the understanding of existing tourism resources by asserting that self-wedding photographs and places in Jeju can be utilized as one of the tourism resources through discussion of wedding photographs and tourism

Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation

This paper investigates Cross-Domain Sequential Recommendation (CDSR), a promising method that uses information from multiple domains (more than three) to generate accurate and diverse recommendations, and takes into account the sequential nature of user interactions. The effectiveness of these systems often depends on the complex interplay among the multiple domains. In this dynamic landscape, the problem of negative transfer arises, where heterogeneous knowledge between dissimilar domains leads to performance degradation due to differences in user preferences across these domains. As a remedy, we propose a new CDSR framework that addresses the problem of negative transfer by assessing the extent of negative transfer from one domain to another and adaptively assigning low weight values to the corresponding prediction losses. To this end, the amount of negative transfer is estimated by measuring the marginal contribution of each domain to model performance based on a cooperative game theory. In addition, a hierarchical contrastive learning approach that incorporates information from the sequence of coarse-level categories into that of fine-level categories (e.g., item level) when implementing contrastive learning was developed to mitigate negative transfer. Despite the potentially low relevance between domains at the fine-level, there may be higher relevance at the category level due to its generalised and broader preferences. We show that our model is superior to prior works in terms of model performance on two real-world datasets across ten different domains.Comment: Accepted at 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023

Red de apoyo local

Las redes sociales suelen estar constituidas por los miembros de la familia nuclear, amigos y amigas, vecinos y vecinas, compañeros y compañeras de trabajo y personas conocidas en la comunidad. Estos vínculos se convierten en sistemas de apoyo social, los cuales constituyen un elemento indispensable para la salud, ajuste y bienestar del individuo. El aspecto importante de las redes de apoyo es que son personas emocionalmente significativas para la persona en el caso que nos concierne y son quienes potencialmente brindan el apoyo social. Es decir estas redes sociales cumplen la función de proveer apoyo social, el cual genera herramientas necesarias para la persona dentro de su contexto cotidiano. Teniendo en cuenta esto, las nuevas tecnologías nos brindan una buena herramienta para facilitar a personas con este deseo de buscar compañía de otra persona en situaciones de temor o ansiedad la posibilidad de establecer un proceso de comparación social, a través del cual se puede obtener información acerca de la situación estresante (lo que permite reducir la incertidumbre) y validar las propias reacciones (comparando sentimientos y conductas). En esta memoria, detallaremos las herramientas que se van a poner a disposición de las usuarias de nuestra red de apoyo local

Time-restricted feeding reduces monocyte production by controlling hematopoietic stem and progenitor cells in the bone marrow during obesity

Time-restricted feeding (TRF) has emerged as a promising dietary approach in improving metabolic parameters associated with obesity, but its effect on immune cells under obesogenic condition is poorly understood. We conducted this study to determine whether TRF exerts its therapeutic benefit over obesity-induced myeloid cell production by analyzing hematopoietic stem and progenitor cells in bone marrow (BM) and immune cell profile in circulation. Male C57BL/6 mice were fed a low-fat diet (LFD) or high-fat diet (HFD) ad libitum for 6 weeks and later a subgroup of HFD mice was switched to a daily 10 h-TRF schedule for another 6 weeks. Mice on HFD ad libitum for 12 weeks had prominent monocytosis and neutrophilia, associated with expansion of BM myeloid progenitors, such as multipotent progenitors, pre-granulocyte/macrophage progenitors, and granulocyte/macrophage progenitors. TRF intervention in overweight and obese mice diminished these changes to a level similar to those seen in mice fed LFD. While having no effect on BM progenitor cell proliferation, TRF reduced expression of Cebpa, a transcription factor required for myeloid differentiation. These results indicate that TRF intervention may help maintain immune cell homeostasis in BM and circulation during obesity, which may in part contribute to health benefits associated with TRF

MOOC as a Shared Learning Space: The Evaluation of a Google Certification Program Course and Recommendations for Better Learning Experiences

The paper evaluates an online course on Coursera, called Foundations of User Experience (UX) Design, provided by Google Career Certificates, then shares recommendations that can be made based on the results drawn from the evaluation, survey, and usability test. Throughout the process, two questions - 1) How the shared space provided by the Google UX certification course is evaluated in terms of features of social media and 2) What recommendations can be provided to the course to be improved as a better learning environment - are answered. The paper focuses on the integration of a MOOC (Massive Open Online Course) with features of social media to be developed as a shared learning space for better learning experiences based on the pedagogical approach

Designers characterize naturalness in voice user interfaces : their goals, practices, and challenges

With substantial industrial interests, conversational voice user interfaces (VUIs) are becoming ubiquitous through devices that feature voice assistants such as Apple’s Siri and Amazon Alexa. Naturalness is often considered to be central to conversational VUI designs as it is associated with numerous benefits such as reducing cognitive load and increasing accessibility. The literature offers several definitions for naturalness, and existing conversational VUI design guidelines provide different suggestions for delivering a natural experience to users. However, these suggestions are hardly comprehensive and often fragmented. A precise characterization of naturalness is necessary for identifying VUI designers’ needs and supporting their design practices. To this end, we interviewed 20 VUI designers, asking what naturalness means to them, how they incorporate the concept in their design practice, and what challenges they face in doing so. Through inductive and deductive thematic analysis, we identify 12 characteristics describing naturalness in VUIs and classify these characteristics into three groups, which are ‘Fundamental’, ‘Transactional’ and ‘Social’ depending on the purpose each characteristic serves. Then we describe how designers pursue these characteristics under different categories in their practices depending on the contexts of their VUIs (e.g., target users, application purpose). We identify 10 challenges that designers are currently encountering in designing natural VUIs. Our designers reported experiencing the most challenges when creating naturally sounding dialogues, and they required better tools and guidelines. We conclude with implications for developing better tools and guidelines for designing natural VUIs.Science, Faculty ofComputer Science, Department ofGraduat

A Rule-of-thumb Condition to Avoid Large HRS Current in ReRAM Crossbar Array Design

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Emissions of Volatile Organic Compounds (VOCs) from an Open-Circuit Dry Cleaning Machine Using a Petroleum-Based Organic Solvent: Implications for Impacts on Air Quality

Volatile organic compounds (VOCs) are known to play an important role in tropospheric chemistry, contributing to ozone and secondary organic aerosol (SOA) generation. Laundry facilities, using petroleum-based organic solvents, are one of the sources of VOCs emissions. However, little is known about the significance of VOCs, emitted from laundry facilities, in the ozone and SOA generation. In this study, we characterized VOCs emission from a dry-cleaning process using petroleum-based organic solvents. We also assessed the impact of the VOCs on air quality by using photochemical ozone creation potential and secondary organic aerosol potential. Among 94 targeted compounds including toxic organic air pollutants and ozone precursors, 36 compounds were identified in the exhaust gas from a drying machine. The mass emitted from one cycle of drying operation (40 min) was the highest in decane (2.04 g/dry cleaning). Decane, nonane, and n-undecane were the three main contributors to ozone generation (more than 70% of the total generation). N-undecane, decane, and n-dodecane were the three main contributors to the SOA generation (more than 80% of the total generation). These results help to understand VOCs emission from laundry facilities and impacts on air quality

Dopant-Free and Multifunctional Hole Transport Polymers in Perovskite Solar Cells with Nonaromatic Solvent Processing

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Determination of the Optimum Removal Efficiency of Fine Particulate Matter Using Activated Carbon Fiber (ACF)

In Korea, concentrations of particulate matter (PM10) are significantly higher in urban railway tunnels (178.1 μg/m3) than in metropolitan areas (49 μg/m3). In railway tunnels in Korea, it was maintained at 3–4 times higher concentration than general atmosphere and platform. Dust generated by trains is scattered at high speed in these tunnels, making filtration difficult; therefore, the development of filters that can be maintained in tunnels is required. In the present study, we examined PM adsorption in the laboratory scale using activated carbon fiber (ACF), which has high adsorption and capacity. The ACF depth, velocity of flow, and fine PM concentration in the tunnel were the experimental variables. We compared PM concentrations before and after the filter experiments, and calculated removal efficiency to determine the optimal conditions. Comprehensive examination of the experimental variables and differential pressure showed that the optimal conditions for an ACF specimen were a wind speed of 3.0 m/s and the ACF depth of 400 mm. The average removal efficiency of PM10 was 55.5%, and that of PM2.5 was 36.6%. The reproducibility tests showed that the ACF filter could be washed and reused and is suitable for various places because it is easily maintained