74 research outputs found
Exploring factors that affect the destination brand in tourism industry
Thesis(Master) --KDI School:Master of Public Policy,2016Around the world, tourism industry influenced the economic development greatly (Milne and Ateljevic, 2001). Tourism industry gained more attention by reasons of being most feasible and sustainable economic development advantage, and also earnings of foreign currency (UNWTO, 2016). ‘Destination brand’ as national identity has received attention with a strategy of building a unique identity of destination which makes differentiation (Morrison & Anderson, 2002). The purpose of study is to explore the effects of different perceptions, intention, satisfaction, loyalty, and brand equity in tourism industry. In particular, this study measures the relationships of i) functional, experiential, and symbolic perception on attitude, ii) travelers’ attitude on satisfaction and intention to visit, iii) satisfaction level of travelers’ on loyalty, iv) loyalty on destination brand equity, and v) intention to visit on destination brand equity. This collects data via online survey and in order to prove the hypotheses, this study applied statistical analysis such as factor analysis, Analysis of Variance (ANOVA) and regression analyses. This study provides both theoretical and managerial implication to the public policy.I. INTRODUCTION
II. Literature Review
III. Theoretical Background
IV. Hypothesis Development
V. Methodology
VI. Data Analysis
VII. ConclusionmasterpublishedYura CHOI
PCT-CycleGAN: Paired Complementary Temporal Cycle-Consistent Adversarial Networks for Radar-Based Precipitation Nowcasting
The precipitation nowcasting methods have been elaborated over the centuries
because rain has a crucial impact on human life. Not only quantitative
precipitation forecast (QPF) models and convolutional long short-term memory
(ConvLSTM), but also various sophisticated methods such as the latest MetNet-2
are emerging. In this paper, we propose a paired complementary temporal
cycle-consistent adversarial networks (PCT-CycleGAN) for radar-based
precipitation nowcasting, inspired by cycle-consistent adversarial networks
(CycleGAN), which shows strong performance in image-to-image translation.
PCT-CycleGAN generates temporal causality using two generator networks with
forward and backward temporal dynamics in paired complementary cycles. Each
generator network learns a huge number of one-to-one mappings about
time-dependent radar-based precipitation data to approximate a mapping function
representing the temporal dynamics in each direction. To create robust temporal
causality between paired complementary cycles, novel connection loss is
proposed. And torrential loss to cover exceptional heavy rain events is also
proposed. The generator network learning forward temporal dynamics in
PCT-CycleGAN generates radar-based precipitation data 10 minutes from the
current time. Also, it provides a reliable prediction of up to 2 hours with
iterative forecasting. The superiority of PCT-CycleGAN is demonstrated through
qualitative and quantitative comparisons with several previous methods.Comment: CIKM 202
Optical Air-Gap Attacks:Analysis and IoT Threat Implications
Since 2008, the Korean government has instituted network separation technology, which physically isolates external internet networks from internal networks, aiming to thwart cyber-attacks. Consequently, the domestic financial sector was largely unaffected during global crises (2017 WannaCry ransomware outbreak and the 2021 Log4j vulnerability incident). However, there exist certain vulnerabilities owing to the presumption of their relative safety against cyber intrusions and the integration of cloud and Internet of Things (IoT) technologies in the current smart revolution. The existing network separation measures only mitigate one facet of potential cyber threats, rendering a comprehensive defense elusive. The rise of “air-gap” attacks, which exploit the isolated space between closed and external networks to illicitly transfer data and the existing research primarily substantiating the potential for data breaches from closed networks to their external counterparts are problems yet to be addressed. Thus, our study proposed a tangible optical air-gap attack methodology, harnessing readily available optical mediums within closed networks. Intricate measurement metrics that consider vital factors of the transmission environment were proposed. Moreover, acknowledging the proliferating integration of IoT devices, such as smart bulbs, to facilitate automation within closed networks, this study demonstrated the viability of optical air-gap attacks using these devices
Investigating International Time Trends in the Incidence and Prevalence of Atopic Eczema 1990-2010: A Systematic Review of Epidemiological Studies
The prevalence of atopic eczema has been found to have increased greatly in some parts of the world. Building on a systematic review of global disease trends in asthma, our objective was to study trends in incidence and prevalence of atopic eczema. Disease trends are important for health service planning and for generating hypotheses regarding the aetiology of chronic disorders. We conducted a systematic search for high quality reports of cohort, repeated cross-sectional and routine healthcare database-based studies in seven electronic databases. Studies were required to report on at least two measures of the incidence and/or prevalence of atopic eczema between 1990 and 2010 and needed to use comparable methods at all assessment points. We retrieved 2,464 citations, from which we included 69 reports. Assessing global trends was complicated by the use of a range of outcome measures across studies and possible changes in diagnostic criteria over time. Notwithstanding these difficulties, there was evidence suggesting that the prevalence of atopic eczema was increasing in Africa, eastern Asia, western Europe and parts of northern Europe (i.e. the UK). No clear trends were identified in other regions. There was inadequate study coverage worldwide, particularly for repeated measures of atopic eczema incidence. Further epidemiological work is needed to investigate trends in what is now one of the most common long-term disorders globally. A range of relevant measures of incidence and prevalence, careful use of definitions and description of diagnostic criteria, improved study design, more comprehensive reporting and appropriate interpretation of these data are all essential to ensure that this important field of epidemiological enquiry progresses in a scientifically robust manner
Exploring Factors that Affect Destination Brand in the Tourism Industry
The tourism industry has gained attention by being the most feasible and sustainable area of economic development and also earnings of foreign currency (http://www2.unwto.org). Destination brand as a feature of national identity has received attention with a strategy of building a unique and differentiated identity for a given destination (Morrison & Anderson, 2002). The purpose of this study is to explore the effects of different perceptions, intentions, satisfaction, loyalty, and brand equity in the tourism industry. In particular, this study measures the relationships of i) functional,
experiential, and symbolic perception to attitude, ii) travelers’ attitude to satisfaction and intention to visit, iii) satisfaction level of travelers’ to loyalty, iv) loyalty to destination brand equity, and v) intention to visit to destination brand equity. This study was performed with an online survey and applied statistical analysis methods such as factor analysis, Analysis of Variance (ANOVA) and regression analyses. This study provides both theoretical and managerial implication for the tourism industry.2
Additional file 1: of Large-Area Growth of Uniform Single-Layer MoS2 Thin Films by Chemical Vapor Deposition
Formation of nonuniform MoS 2 clusters. (DOCX 379 kb
An Exploration of Robot-Mediated Tai Chi Exercise for Older Adults
In this fast-aging society, many older adults fail to meet the required level of exercise due to trainer shortages. Therefore, we developed a robot tutor to investigate the feasibility of robot-mediated exercise for older adults. Twenty older adults participated in an experimental study. A pre-exercise survey was used to assess their background. Each participant experienced a 30-min robot-led Tai Chi exercise followed by a post-exercise survey to evaluate the easiness of following the robot and expectations for future robot design. Participants’ Tai Chi performances were evaluated in terms of completion and accuracy. Associations between the surveys and the performance were also analyzed. All participants completed the study. Fifteen out of the twenty subjects had at least one chronic condition, and most practiced Tai Chi before the study but had never interacted with a robot. On average, the participants scored 93.09 and 85.21 out of 100 for movement completion and accuracy, respectively. Their initial movement accuracy was correlated with their attitude towards exercise. Most subjects reported that they could follow the robot’s movements and speeches well and were interested in using a robot tutor in the community. The study demonstrated the initial feasibility of robot-led Tai Chi exercise for older adults
RNA-dependent proteome solubility maintenance in Escherichia coli lysates analysed by quantitative mass spectrometry: Proteomic characterization in terms of isoelectric point, structural disorder, functional hub, and chaperone network
ABSTRACTProtein aggregation, a consequence of misfolding and impaired proteostasis, can lead to cellular malfunctions such as various proteinopathies. The mechanisms protecting proteins from aggregation in complex cellular environments have long been investigated, often from a protein-centric viewpoint. However, our study provides insights into a crucial, yet overlooked actor: RNA. We found that depleting RNAs from Escherichia coli lysates induces global protein aggregation. Our quantitative mass spectrometry analysis identified over 900 statistically significant proteins from the Escherichia coli proteome whose solubility depends on RNAs. Proteome-wide characterization showed that the RNA dependency is particularly enriched among acidic proteins, intrinsically disordered proteins, and structural hub proteins. Moreover, we observed distinct differences in RNA-binding mode and Gene Ontology categories between RNA-dependent acidic and basic proteins. Notably, the solubility of key molecular chaperones [Trigger factor, DnaJ, and GroES] is largely dependent on RNAs, suggesting a yet-to-be-explored hierarchical relationship between RNA-based chaperone (termed as chaperna) and protein-based chaperones, both of which constitute the whole chaperone network. These findings provide new insights into the RNA-centric role in maintaining healthy proteome solubility in vivo, where proteins associate with a variety of RNAs, either stably or transiently
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Context Dependent Memory in the Wilds
Memory retrieval is influenced by both prior and current experiences. The various factors (e.g., frequency, recency, or similarity) may interfere during retrieval due to prior experiences, while the context-dependent memory effect may enhance based on present experiences. Most memory research has been limited to controlled laboratory settings, but this study aims to examine memory retrieval in a more natural setting by using a GPS application (e.g., Traccar Client) to track participants’ daily GPS locations every 60 seconds for 5 weeks. Participants were then asked to recall their locations at a specific time, choosing from all locations visited in the previous 4 weeks. Results demonstrated the existence of the context-dependent memory effect in real-world settings, with more frequent or recent visits leading to increased correct responses. This study is the first to use the current methodology to study the context-dependent memory effect and to measure an individual’s genuine memories in a more ecologically valid way
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