Applying Q Methodology in Developing Destination Images from the Traveller Generated Photographs

This paper investigates the perceived destination image of Sun Moon Lake (SML) and develops the projected destination brand image for SML Tourism Circle (SMLTC). This paper uses traveller-generated image (TGI) to conduct Q methodology approach. Q methodology is a combination of a quantitative approach with the interpretation of qualitative research. 20 stakeholders of SML-TC are asked to Q sort using a photograph from score +4 to -4, and then why they choose are asked. Next, PQ method software is applied for Q method analysis and three distinct factors have resulted - three types of attributes are identified as SML perceived image: (1) - mountain climbing and hiking, (2) - local landscape and culture, (3) - participating in sport events plus high-end accommodation. A projected image and brand are developed based on these attributes

Understanding Children’s Travel Experiences via the Drawings

Previous studies primarily focused on the perspective of parents, giving little attention to the viewpoint of children. Exploring children\u27s travel experiences can be challenging both ethically and in terms of data collection. This study overcomes these difficulties by using children\u27s paintings as the method of data collection, which provides objective and measurable data. This study applied means-end chain (MEC) and content analysis to analyze the pictures. A total of 309 pictures were collected, and 13 Attributes(A), 11 Consequences(C), and 7 values(V) of children\u27s travel experience were identified through MEC. Results revealed that children place great value on participating in activities with their families, particularly those that provide joy, happiness, and hedonic value, such as theme parks, natural scenery, and cultural experiences. Therefore, future travel itineraries should include a variety of fun activities for kids to enhance the family travel experience

National scale-up of tuberculosis-human immunodeficiency virus collaborative activities in Myanmar from 2005 to 2016 and tuberculosis treatment outcomes for patients with human immunodeficiency virus-positive tuberculosis in the Mandalay Region in 2015.

Background: HIV-associated TB is a serious public health problem in Myanmar. Study objectives were to describe national scale-up of collaborative activities to reduce the double burden of TB and HIV from 2005 to 2016 and to describe TB treatment outcomes of individuals registered with HIV-associated TB in 2015 in the Mandalay Region. Methods: Secondary analysis of national aggregate data and, for treatment outcomes, a cohort study of patients with HIV-associated TB in the Mandalay Region. Results: The number of townships implementing collaborative activities increased from 7 to 330 by 2016. The number of registered TB patients increased from 1577 to 139 625 in 2016, with the number of individuals tested for HIV increasing from 432 to 114 180 (82%) in 2016: 10 971 (10%) were diagnosed as HIV positive. Uptake of co-trimoxazole preventive therapy (CPT) and antiretroviral therapy (ART) nationally in 2016 was 77% and 52%, respectively. In the Mandalay Region, treatment success was 77% and mortality was 18% in 815 HIV-associated TB patients. Risk factors for unfavourable outcomes and death were older age (≥45 years) and not taking CPT and/or ART. Conclusion: Myanmar is making good progress with reducing the HIV burden in TB patients, but better implementation is needed to reach 100% HIV testing and 100% CPT and ART uptake in TB-HIV co-infected patients

Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security

ATM Service on MPU System using Mobile Agent Based Windows Communication Foundation

Mobile agent can provide a convenient,efficient, and robust framework and WCF(Windows Communication Foundation)technology is used to manage the communicationbetween the agents. In this system, we willdemonstrate MPU (Myanmar Payment Union)banking service using WCF framework withmobile agent. WCF is used between ATM(Automated Teller Machine) and banking servers.Firstly, we have implemented ATM client and itwas carried out to bank server by TransactionAgent, WCF agent and Dataflow Agent. As thissystem is intended to show mobile agent basedtransactions, we considered two paradigms ofbanking services using MPU which are OnUs andOffUs transactions. These services can beaccepted from anywhere the ATM machines exist.At last we implement OnUs transactions directlywith specific Bank Database through Transactionand Dataflow agents. OffUs Transactions goeswith Transaction Agent, WCF Agent and DataflowAgent. The demonstration of this system isimplemented by using C#.NET and InternetInformation Service (IIS) 6 for setting up WCFAgent Service

Voltage stability studies of wind turbine

The voltage stability and ride-through capability of wind turbines is determined by the corresponding parameters and control policy of the wind turbines. The short-circuit failures in the transmission system can result in the acceleration of the wind turbines, which will absorb a significant amount of the reactive power from the power grid. In this case, voltage stability may not be maintained and the wind turbines will be disconnected from the grid by the protective devices. However the system operator requires that the system voltage can be maintained after a short circuit failure without the disconnection of the wind turbines with the transmission system. Therefore some reactive power compensation devices such as Statcom and synchronous compensators are used to supply reactive power in the contingency states when the grid voltage drops. The capability of maintaining the voltage stability can also be improved by carefully selecting generator parameters and control policies. In this project, the voltage stability of wind power system and redundancy of the reactive power compensation devices will be studied.Bachelor of Engineerin

Muslim consumers’ online purchase intention towards Islamic fashion products: A clothing market case

Online shopping has grown exponentially due to the technological growth. This development can be seen in all the developed and developing economies irrespective of the demographic features. This paper seeks to explore the influencing factors of Muslim consumers’ online purchase intention towards Islamic fashion products such as apparel, accssories and hijabs. The study highlights on the better understanding of Muslim consumers’ online shopping intention by focusing on the trend of Islamic fashion products. It also presents the conceptual study of Muslim consumers’ online purchase intention as the main construct based on the past studies and literature findings. Islamic fashion products’ market has a significant growth with its high demand by Muslim consumers from different parts of the world, and thus, fashion designers, manufacturers, retailers and fashion online stores preferably have more opportunities in the emerging fashion market. A conceptual model is proposed to explain online purchase intention and thus, it assists in the understanding of the underlying concept of online shopping and purchase intention. Recommendations and suggestions for further research are also provided to embark on empirical investigation of the present conceptual model

Sentiment Analysis of Hotel Reviews

Mining opinions and sentiments fromnatural language is challenging, because itrequires a deep understanding of the explicit andimplicit, regular and irregular, and syntacticaland semantic language rules. Sentiment analysisactually focuses on polarity detection and emotionrecognition, respectively. Sentiment keywords arebest determined automatically which SentiWordNet for the most part does. SinceSentiWordNetoutputs sentiment value, it is easy to classify thedegree of sentiment. This paper proposes opinionmining applied on hotel reviews data usingSentiWordNet. In this system, users can search theopinions for each hotel according to positive andnegative senses with respect to SentimentAnalysis. Then, these analyzed results aresummarized by using keywords