Objectives : The aim of this study was to draw attention toward so called 'behavioral variant frontotemporal dementia(bvFTD) phenocopy syndrome', which is difficult to discriminate with the primary psychiatric disorders, showing poor response to conventional therapeutic drugs, leading to higher risk to misdiagnoses and legal problems. Furthermore, the author insisted that our interest and study on them must be continued. Methods : English articles published during 2000 thru 2016 had been searched by internet with the combination of words such as 'frontotemporal', 'phenocopy' and 'behavioral', and reviewed. Besides, two clinical vignettes were described. Results : Precise diagnosis is important because patients' behavioral symptoms can influence on their families and community. However, disease-modifying treatment for bvFTD are not developed until now, and recent therapeutic drugs are only good for specific symptoms, while deterioration progresses in spite of proper psychiatric management. The possible bvFTD patients are not progressed into probable bvFTD clinically, showing no decline of cogntive and social function, no decrease of activity function, longer survival time, and normal neuroimaging for several years. Conclusions : Rather than expected, there are much more patients having clinical symptoms, course and diagnostic findings including neuroimaging, which are atypical to classical frontotemporal dementia and primary psychiatric disorders. If our knowledge and discriminating ability is improved, discovery rate of that cases will be increased. However, the identity of these atypical features are not clarified until now, it must be further actively investigated.
Business value of information technology has been the biggest interest of all such as practitioners and scholars for decades. Information technology is considered as the driving force or success factor of firm agility. The general assumption is that organizations making considerable efforts in IT investment are more agile than the organizations that are not. However, IT that should help the strategies of the firm that can hinder business or impede agility of the firm occasionally. In other words, it is still unknown if IT helps the agility of the firm or bothers it. Therefore, we note that contrary aspects of IT such as promotion and hindrance of firm agility have been observed frequently and theorize the relationships between them. In other words, we propose a rationale that firms should need to develop superior firm-wide IT capability to manage IT resources successfully in order to realize agility. Thus, this paper theorizes two IT capabilities, including technical IT capability and managerial IT capability as key factors impacting firm agility and firm performance. Further, we operationalize firm agility into two sub-types, including operational adjustment agility and market capitalizing agility. The data from 171 firms was analyzed using PLS approach. The results showed that technical IT capability has positive impact on firm agility and managerial IT capability had positive moderating effects between technical IT capability and firm agility. In addition, it was identified that top management championship positively moderates between agility and firm performance. Finally, it was indicated that firm agility was a very important causal variable of firm performance. Our study provides more exquisite and practical empirical evidences in the relationship between IT capability and firm agility by proposing applicable solution although IT has some contradicting effects on firm agility. Our findings suggest many useful implications to agility related researches in relatively primitive stage and working level officers in organizations.
Currently, the rise of social tagging has changing taxonomy to folksonomy. Tag represents a new approach to organizing information. Nonhierarchical classification allows data to be freely gathered, allows easy access, and has the ability to move directly to other content topics. Tag is expected to play a key role in clustering various types of contents, it is expand to network in the common interests among users. First, this paper determine the relationships among user, tags and resources in social tagging system and examine the circumstances of what aspects to users when creating a tag related to features of websites. Therefore, this study uses tags from the social bookmarking service 'del.icio.us' to analyze the features of tag words when adding a new web page to a list. To do this, websites features classified into 7 items, it is known as tag classification related to resources. Experiments were conducted to test the proposed classify method in the area of music, photography and games. This paper attempts to investigate the perspective in which users apply a tag to a webpage and establish the capacity of expanding a social service that offers the opportunity to create a new business model.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
/
v.10
no.6
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pp.215-223
/
2015
Recently, in OECD countries, youth unemployment has become one of the most serious problems in society. Entrepreneurship creates innovative new companies that create more jobs than big traditional companies. In addition, entrepreneurship develops creative human resources leading to fertile ground for new technology and business innovation. Recently, regulatory theory has drawn a lot of attention and interest in the literature of psychology and marketing management. However, the theory has not been applied to the study of entrepreneurship. In this article, we try to examine the relationship among regulatory focus, entrepreneurial orientation, and entrepreneurial intentions of korean college students who show their interests in entrepreneurship. From our empirical study, we find the followings. First, promotion focus thriving on optimism, taking risks, and trying new actively affect positively on entrepreneurial orientation and entrepreneurial intention. Second, prevention focus concentrating on security, fulfilling responsibilities and maintaining efficiency does not always affect negatively on entrepreneurial orientation and entrepreneurial intention. In other words, prevention-focused students do not always have bad impression on entrepreneurship and may consider entrepreneurship as viable career path similar to average college students. Third, our empirical findings are consistent with previous studies that entrepreneurial intention is positively affected by entrepreneurial orientation.
Metaverse is one of the most frequently used words recently, with digitalization accelerated by the COVID-19 pandemic that started in 2019 and the development of information and communication technology. It is expected to bring a new revolution in our life as a whole in user experience. In particular, as telecommuting was adopted in the business area, interest in virtual office services such as digital video conferencing and remote offices, which are similar to the metaverse, has also increased. In this study, a study on the intention to use the metaverse service used in the work environment was applied to the Unified Theory of Acceptance and Use of Technology 2(UTAUT2). External variables for metaverse characteristics, such as self-presentation, telepresence, and technostress, were analyzed and discussed. In this study, PC-based Gather.town and VR-based Facebook Horizon, currently the most well-known and considered usable in work environments, were introduced to potential users and conducted a survey. This study has academic implications in that the research has examined the factors that affect the technology acceptance intention of users who want to apply the metaverse as a work environment based on the UTAUT2 model, unlike previous studies that have been mainly researched on the general metaverse. In practice, it may be helpful to suggest factors that should be considered when firms adopt the metaverse for business purposes.
The international community has done a lot of effort to improve the aviation safety. The new high technologies, systems and development of navigation equipments considerably improved the level of aviation safety. However, the aviation accident rate has been showing unchanged status without the decline since 1980. It means it is difficult to secure enough safety by the existing efforts to improve the aviation safety, eventually needs new methods for the accident prevention. With this in mind, the nations interest new methods that can consider a countermeasure by realizing potential risk factors before fatal accidents. In other words, that is to analyze and share the safety information collected from accidents by establishing aviation safety information system. To establish international aviation safety information system, each country's aviation accident incident reporting systems are need to be established. Also aviation safety data taxonomy is need to be standardized. Then, aviation users will communicate the information efficiently. This study investigates and considers each country's aviation accident incident database taxonomy for the analysis of the aviation data and the necessary prevention activity. This will contribute to a better international aviation safety and strengthen the country's aviation diplomacy.
KIPS Transactions on Software and Data Engineering
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v.6
no.7
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pp.371-378
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2017
Recently, with the spread of smart device and the introduction of web services, the data is rapidly increasing online, and it is utilized in various fields. In particular, the emergence of social media in the big data field has led to a rapid increase in the amount of unstructured data. In order to extract meaningful information from such unstructured data, interest in big data technology has increased in various fields. Big data is becoming a key resource in many areas. Big data's prospects for the future are positive, but concerns about data breaches and privacy are constantly being addressed. On this subject of big data, where positive and negative views coexist, the research of analyzing people's opinions currently lack. In this study, we compared the changes in peoples perception on big data based on unstructured data collected from the social media using a text mining. As a results, yearly keywords for domestic big data, declining positive opinions, and increasing negative opinions were observed. Based on these results, we could predict the flow of domestic big data.
This study examines the Korean Education Longitudinal Study 2005 7th-9th year data to analyze the university life of transfer students prior to their transferring by comparing them to that of non-transfer students. This study used two types of comparison groups: The first comparison group encompasses all who did not transfer and the second group was 1:1 matched sample of students who were enrolled in the same universities in the 7th year and were of the same gender. The 7th and 8th year experiences were compared, respectively. According to the result, transfer students in their previous universities compared to non-transfer students demonstrated higher grade point average, active class participation, and more interaction with faculty outside the class. On the other hand, these students demonstrated relatively lower satisfaction in university life, lower sense of belonging, and lower participation in student unions, campus events, and other student activities. They also tended to have less interaction with their colleagues. In other words, transfer students showed high competency and interests in academic activities like managing good grades and interacting with faculty but showed less interest in social activities such as interacting with peers and engaging in various campus activities. It is necessary to develope programs to help transfer students to adapt to school efficiently by utilizing the results of this study.
Journal of the Korean Institute of Intelligent Systems
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v.20
no.3
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pp.348-355
/
2010
In spite of development in speech recognition technology, speech recognition under noisy environment is still a difficult task. To solve this problem, Researchers has been proposed different methods where they have been used visual information except audio information for visual speech recognition. However, visual information also has visual noises as well as the noises of audio information, and this visual noises cause degradation in visual speech recognition. Therefore, it is one the field of interest how to extract visual features parameter for enhancing visual speech recognition performance. In this paper, we propose a method for visual feature parameter extraction based on image-base approach for enhancing recognition performance of the HMM based visual speech recognizer. For experiments, we have constructed Audio-visual database which is consisted with 105 speackers and each speaker has uttered 62 words. We have applied histogram matching, lip folding, RASTA filtering, Liner Mask, DCT and PCA. The experimental results show that the recognition performance of our proposed method enhanced at about 21% than the baseline method.
Park, Jongmin;Ha, Hyunnam;Hong, Sangwoo;Chung, Kyungwon
Journal of the HCI Society of Korea
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v.9
no.2
/
pp.41-51
/
2014
In mobile content services like apps for smart mobile devices in specific, there has been a growing interest in evaluating UX quality to make sure that it provides better experience to users and consequently, secures competitiveness in a market. In that sense, usability testing has been considered as one method that enables designers and design managers to evaluate UI quality before they launch their service. However, those designers have been faced with a following fundamental question to be answere d : Is good UX design a good business? In other words, can well-designed service, which has good usability, actually satisfy target users and improve competitiveness in a market? There is no doubt that usability is one important factor perceived by users. However, it has a limit in terms of evaluating UX quality in macro level, as it mostly focuses on ease of use and efficiency of performing tasks, but does not cover other possible experiential factors, which also can be perceived by users, such as market situation and preexistence experience. Therefore, this research aims to identify key experiential factors in using mobile content services, and establish service UX index model that enables to measure perceived user satisfaction, and identify how UX design contributes to the satisfaction in quantitative way.
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