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Physical Activity and Quality of Life of Cancer Survivors: A Lack of Focus for Lifestyle Redesign

  • Lee, Jia Ern;Loh, Siew Yim
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.4
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    • pp.2551-2555
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    • 2013
  • Background: Physical activity is a component of lifestyle activity and one that has been increasingly seen as 'the medicine' to cure chronic diseases, including certain types of cancer. Physical activity has potent impact on mortality but only if it is well incorporated as lifestyle activity may it allow a better outcome of the quality of life of cancer survivors. This paper presents a review on the evidence of physical activity being actively promoted as lifestyle activity amongst cancer survivors, for the last five years. Materials and Methods: Electronic databases were systematically searched for randomized controlled trials incorporated as lifestyle activity through MEDLINE with the associated terms "physical activity or exercise", "quality of life" and "cancer survivor or people with cancer", 'lifestyle' and 'randomised controlled trial'. The period of search was confined to publication within January 2008 till December 2012 and further limits were to full text, peer reviewed, abstract available and English language. Results: Based on inclusion criteria, 45 articles were retrieved. Of these, 41 were excluded after examining the full paper. Four final articles on randomized controlled trials were studied to determine the effectiveness of PA to improve the quality of life in post treatment cancer survivors and positive associations were found. Conclusions: Physical activity is related to better quality of life of cancer survivors. Only one paper had characteristics of lifestyle incorporation for a lifestyle redesign, but none overtly or actively promoting exercise interventions as an essential lifestyle activity. With increasing survivorship, the benefits of physical activity must be aggressively and overtly promoted to optimize its positive impact.

A Study of Perception of Golfwear Using Big Data Analysis (빅데이터를 활용한 골프웨어에 관한 인식 연구)

  • Lee, Areum;Lee, Jin Hwa
    • Fashion & Textile Research Journal
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    • v.20 no.5
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    • pp.533-547
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    • 2018
  • The objective of this study is to examine the perception of golfwear and related trends based on major keywords and associated words related to golfwear utilizing big data. For this study, the data was collected from blogs, Jisikin and Tips, news articles, and web $caf{\acute{e}}$ from two of the most commonly used search engines (Naver & Daum) containing the keywords, 'Golfwear' and 'Golf clothes'. For data collection, frequency and matrix data were extracted through Textom, from January 1, 2016 to December 31, 2017. From the matrix created by Textom, Degree centrality, Closeness centrality, Betweenness centrality, and Eigenvector centrality were calculated and analyzed by utilizing Netminer 4.0. As a result of analysis, it was found that the keyword 'brand' showed the highest rank in web visibility followed by 'woman', 'size', 'man', 'fashion', 'sports', 'price', 'store', 'discount', 'equipment' in the top 10 frequency rankings. For centrality calculations, only the top 30 keywords were included because the density was extremely high due to high frequency of the co-occurring keywords. The results of centrality calculations showed that the keywords on top of the rankings were similar to the frequency of the raw data. When the frequency was adjusted by subtracting 100 and 500 words, it showed different results as the low-ranking keywords such as J. Lindberg in the frequency analysis ranked high along with changes in the rankings of all centrality calculations. Such findings of this study will provide basis for marketing strategies and ways to increase awareness and web visibility for Golfwear brands.

A Multimedia Bulletin Board System Providing Semantic-based Searching (의미 기반 정보 검색을 제공하는 멀티미디어 게시판 시스템)

  • Jung Eui-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.6 s.38
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    • pp.75-84
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    • 2005
  • Bulletin board systems have evolved to support diverse multimedia data as well as text. However, current board systems have an weakness : it takes much time and efforts for users to figure out contents of articles. Most board systems provide a searching function with lexical level data access for solving that problem, however it fails to serve users' intented searching results. Moreover, it is nearly impossible to search proper articles if they contain multimedia data. This paper proposed a bulletin board system adopting the Semantic Web to solve this issue. The proposed system provides users with new ontology which is used for describing articles' domain knowledge and multimedia features. Users can describe their own board ontology using the proposed ontology. To support semantic-based searching for diverse domain knowledge without modification of the system, the system dynamically generated input/query interface and RDF data access module according to the board ontology written by administrators. The proposed board system shows that semantic-based searching is feasible and effective for users to find their intended articles.

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High Intensity Laser for Laser Acupuncture Application (침구치료에 사용되는 고출력 레이저에 대한 고찰)

  • Yang, Chang-Sop;Sun, Seung-Ho;Jang, In-Soo
    • Korean Journal of Acupuncture
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    • v.28 no.3
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    • pp.1-12
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    • 2011
  • Objectives : The purpose of this study is to review laser acupuncture studies to find possibility for applying high intensity laser to acupuncture and moxibustion treatment. Methods : Searching papers was performed using search engines of five electronic databases, including Pubmed, Thomson ISI, EMBASE, Sciencedirect, and EBSCO, from inception to May 2011 without language limitation. Inclusion criteria were clinical studies with human, randomized controlled trials (RCTs), case-control studies, and case reports. Selecting papers was performed with titles and abstracts in first step, scrutinize full text in second step, and then the extrated data was analyzed by two authors independently. The methodological quality for RCTs was evaluated using Jadad's scale. Results : Total 8 papers, (3 RCTs, 5 controlld studies, and 1 case reports), were finally selected. The study dealt with surgical laser, argon and $CO_2$ laser was one for each, with GaAs laser was two, and with new semiconductor laser, GaN, were four. The output range was from 110 mW to 15 W. The study diseases were alcohol addiction, knee osteoarthritis, bronchopneumonia and asthma for children, and circulation. All studies reported positive effect. The methodological quality in all RCTs was low because of below 3 points and all studies had few subject numbers. Conclusions : We suggest that high intensity laser can be applied to acupuncture and moxibustion. Further rigorous and well-designed study will be needed for various disease. The oriental medical society needs to take active measures to study and clinical application of acupuncture and moxibustion treatment with high intensity laser.

Self Introduction Essay Classification Using Doc2Vec for Efficient Job Matching (Doc2Vec 모형에 기반한 자기소개서 분류 모형 구축 및 실험)

  • Kim, Young Soo;Moon, Hyun Sil;Kim, Jae Kyeong
    • Journal of Information Technology Services
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    • v.19 no.1
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    • pp.103-112
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    • 2020
  • Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

A Study on the Development and Application of Cryptography Teaching Program for Vocational High School Mathematics (상업 정보 계열 고등학교 암호 교육 프로그램 개발 및 적용에 관한 연구)

  • Park, Joong-Soo;Chung, Sang-Cho
    • Journal of the Korean School Mathematics Society
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    • v.12 no.3
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    • pp.231-245
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    • 2009
  • The purpose of this study is to develop a contents when we are going to introduce cryptography and information security for vocational high school students. For this we do a survey of the students' level for understanding of information security and the 7th curriculum for school mathematics, 2007 revised curriculum for school mathematics, the curriculum for vocational high school, and we search for the material that connects between mathematics subjects and vocational subjects. We develop a text book that introduces information security and cryptography. After we teach vocational high school students by using this developed book, we get the result that learning cryptography with computer programming makes a good motivation of learning mathematics and roles a parameter between mathematics curriculum and vocational curriculum. As a result we propose that the developed contents can be used in 'Practical Mathematics' in the 7th curriculum for school mathematics or 'Application of Mathematics' in 2007 revised curriculum for school mathematics.

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Long-Term Efficacy of Anti-Tumor Necrosis Factor Agents in Pediatric Luminal Crohn's Disease: A Systematic Review of Real-World Evidence Studies

  • Rheenen, Hanna van;Rheenen, Patrick Ferry van
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.23 no.2
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    • pp.121-131
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    • 2020
  • Purpose: To determine the long-term efficacy of the anti-tumor necrosis factor (TNF) agents, infliximab (IFX) and adalimumab (ADA), in pediatric luminal Crohn's disease (CD) by performing a systematic literature review. Methods: An electronic search was performed in Medline, Embase, and the Cochrane Library from inception to September 26, 2019. Eligible studies were cohort studies with observation periods that exceeded 1 year. Studies that reported time-to-event analyses were included. Events were defined as discontinuation of anti-TNF therapy for secondary loss of response. We extracted the probabilities of continuing anti-TNF therapy 1, 2, and 3 years after initiation. Results: In total, 2,464 papers were screened, 94 were selected for full text review, and 13 studies (11 on IFX, 2 on ADA) met our eligibility criteria for inclusion. After 1 year, 83-97% of patients were still receiving IFX therapy. After 2 and 3 years the probability of continuing IFX therapy decreased to 67-91% and 61-85%, respectively. In total, 5 of the 11 studies subgrouped by concomitant medication consistently showed that the probabilities of continuing IFX therapy in patients with prolonged immunomodulator use were higher than those in patients on IFX monotherapy. Conclusion: This review of real-world evidence studies confirms the long-term therapeutic benefit of IFX therapy in diverse cohorts of children with luminal CD. Moreover, it supports the view that combination therapy with an immunomodulator prolongs the durability of IFX therapy in patients who previously failed to recover following first-line therapy. The limited number of time-to-event studies in patients on ADA prevented us from drawing definite conclusions about its long-term efficacy.

An Evaluation of Website Information Architecture for Old Adults: Focused on Organization and Labeling System (고령층을 위한 웹 사이트 정보 구조 평가: 조직화 체계와 레이블링 체계를 중심으로)

  • Seo, Jiwoong;Kim, Heesop
    • Journal of the Korean Society for information Management
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    • v.33 no.1
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    • pp.181-196
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    • 2016
  • The objective of this study is to evaluate the organization system and the labeling system of information architecture of a website for the elderly. To achieve this aims, we selected a representative website, i.e., Naver, and the participants were conducted given three types of search tasks using their own information literacy skills and they were answered to the questionnaire and an additional interview, if necessary. A total of 74 valid data were collected through the experiment, and we analyzed the data using SPSS Ver. 20. It revealed that Naver received a positive evaluation in the organization system aspect, particularly its systematic subject categorization and chronological browsing mechanisms. Old adults were preferred the icon-based labeling than the text-based labeling system, and showed a significant difference among their academic backgrounds.

KONG-DB: Korean Novel Geo-name DB & Search and Visualization System Using Dictionary from the Web (KONG-DB: 웹 상의 어휘 사전을 활용한 한국 소설 지명 DB, 검색 및 시각화 시스템)

  • Park, Sung Hee
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.321-343
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    • 2016
  • This study aimed to design a semi-automatic web-based pilot system 1) to build a Korean novel geo-name, 2) to update the database using automatic geo-name extraction for a scalable database, and 3) to retrieve/visualize the usage of an old geo-name on the map. In particular, the problem of extracting novel geo-names, which are currently obsolete, is difficult to solve because obtaining a corpus used for training dataset is burden. To build a corpus for training data, an admin tool, HTML crawler and parser in Python, crawled geo-names and usages from a vocabulary dictionary for Korean New Novel enough to train a named entity tagger for extracting even novel geo-names not shown up in a training corpus. By means of a training corpus and an automatic extraction tool, the geo-name database was made scalable. In addition, the system can visualize the geo-name on the map. The work of study also designed, implemented the prototype and empirically verified the validity of the pilot system. Lastly, items to be improved have also been addressed.

Email Extraction and Utilization for Author Disambiguation (저자 식별을 위한 전자메일의 추출 및 활용)

  • Kang, In-Su
    • The Journal of the Korea Contents Association
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    • v.8 no.6
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    • pp.261-268
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    • 2008
  • An author of a paper is represented as his/her personal name in a bibliographic record. However, the use of names to indicate authors may deteriorate recall and precision of paper and/or author search, since the same name can be shared by many different individuals and a person can write his/her name in different forms. To solve this problem, it is required to disambiguate same-name author names into different persons. As features for author resolution, previous studies have exploited bibliographic attributes such as co-authors, titles, publication information, etc. This study attempts to apply email addresses of authors to disambiguate author names. For this, we first handle the extraction of email addresses from full-text papers, and then evaluate and analyze the effect of email addresses on author resolution using a large-scale test set.