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Sarcopenia and Smoking: Systematic Review and Meta-analysis (근감소증과 흡연: 체계적 문헌고찰 및 메타분석)

  • Kim, Su Kyung;Shin, Yeong Hee;Kim, Gaeun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.8
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    • pp.273-284
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    • 2017
  • This study performed meta-analysis of published articles to examine the relationship between sarcopenia and smoking. We searched the PubMed, EMBASE, Cochrane library, and RISS database sup to January 2017 using search terms such as sarcopenia AND (smoking OR tobacco OR cigarette). A total of 25 articles were included in the analysis (seven cohort studies and 18 cross-sectional studies). Incidence of sarcopenia in smokers and non-smokers was analyzed by the random effects model. Incidence of sarcopenia was OR 1.49 (95% CI 1.21, 1.84, p<.001, I2 = 88.20%), Asian (OR 1.28, 95% CI 0.91, 1.78, p=0.150, I2=85.32%), and Western (OR 1.65, 95% CI 1.25, 2.17, p<.001, I2=91.08%), Western smokers showed a significantly higher incidence of sarcopenia:males and females with OR 1.25(95% CI 1.11, 1.40, p<.001, 12=87.4%) and 1.80(95% CI 0.98, 3.30, p=.057, 12=89.1 %) respectively. Male smokers showed significantly higher incidence of sarcopenia. Based on the results of the study, smoking in Western males is related to sarcopenia. However, since the criteria for the diagnosis of sarcopenia and the criteria for smoking were different, cumulative individual clinical studies applying uniform assessment for the evaluation of sarcopenia and smoking status are needed in the future.

An Analysis of High School Korean Language Instruction Regarding Universal Design for Learning: Social Big Data Analysis and Survey Analysis (보편적 학습설계 측면에서의 고등학교 국어과 교수 실태: 소셜 빅데이터 및 설문조사 분석)

  • Shin, Mikyung;Lee, Okin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.326-337
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    • 2020
  • This study examined the public interest in high school Korean language instruction and the universal design for learning (UDL) using the social big data analysis method. The observations from 10,339 search results led to the conclusion that public interest in UDL was significantly lower than that of high school Korean language instruction. The results of the Big Data Association analysis showed that 17.22% of the terms were found to be related to "curriculum." In addition, a survey was conducted on a total of 330 high school students to examine how their teachers apply UDL in the classroom. High school students perceived computers as the most frequently used technology tool in daily classes (38.79%). Teacher-led lectures (52.12%) were the most frequently observed method of instruction. Compared to the second-year and third-year students, the first-year students appreciated the usage of technology tools and various instruction mediums more frequently (ps<.05). Students were relatively more positive in their response to the query on the provision of multiple means of representation. Consequently, the lesson contents became easier to understand for students with the availability of various study methods and materials. The first-year students were generally more positive towards teachers' incorporation of UDL.

An Index Structure for Substructure Searching In Chemical Databases (화학 데이타베이스에서 부분구조 검색을 위한 인덱스 구조)

  • Lee Hwangu;Cha Jaehyuk
    • Journal of KIISE:Databases
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    • v.31 no.6
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    • pp.641-649
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    • 2004
  • The relationship between chemical structures and biological activities is researched briskly in the area of 'Medicinal Chemistry' At the base of these structure-based drug design tries, medicinal chemists search the existing drugs of similar chemical structure to target drug for the development of a new drug. Therefore, it is such necessary that an automatic system selects drug files that have a set of chemical moieties matching a user-defined query moiety. Substructure searching is the process of identifying a set of chemical moieties that match a specific query moiety. Testing for substructure searching was developed in the late 1950s. In graph theoretical terms, this problem corresponds to determining which graphs in a set are subgraph isomorphic to a specified query moiety. Testing for subgraph isomorphism has been proved, in the general case, to be an NP- complete problem. For the purpose of overcoming this difficulty, there were computational approaches. On the 1990s, a US patent has been granted on an atom-centered indexing scheme, used by the RS3 system; this has the virtue that the indexes generated can be searched by direct text comparison. This system is commercially used(http://www.acelrys.com/rs3). We define the RS3 system's drawback and present a new indexing scheme. The RS3 system treats substructure searching with substring matching by means of expressing chemical structure aspredefined strings. However, it has insufficient 'rerall' and 'precision‘ because it is impossible to index structures uniquely for same atom and same bond. To resolve this problem, we make the minimum-cost- spanning tree for one centered atom and describe a structure with paths per levels. Expressing 2D chemical structure into 1D a string has limit. Therefore, we break 2D chemical structure into 1D structure fragments. We present in this paper a new index technique to improve recall and precision surprisingly.

An Improvement in K-NN Graph Construction using re-grouping with Locality Sensitive Hashing on MapReduce (MapReduce 환경에서 재그룹핑을 이용한 Locality Sensitive Hashing 기반의 K-Nearest Neighbor 그래프 생성 알고리즘의 개선)

  • Lee, Inhoe;Oh, Hyesung;Kim, Hyoung-Joo
    • KIISE Transactions on Computing Practices
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    • v.21 no.11
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    • pp.681-688
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    • 2015
  • The k nearest neighbor (k-NN) graph construction is an important operation with many web-related applications, including collaborative filtering, similarity search, and many others in data mining and machine learning. Despite its many elegant properties, the brute force k-NN graph construction method has a computational complexity of $O(n^2)$, which is prohibitive for large scale data sets. Thus, (Key, Value)-based distributed framework, MapReduce, is gaining increasingly widespread use in Locality Sensitive Hashing which is efficient for high-dimension and sparse data. Based on the two-stage strategy, we engage the locality sensitive hashing technique to divide users into small subsets, and then calculate similarity between pairs in the small subsets using a brute force method on MapReduce. Specifically, generating a candidate group stage is important since brute-force calculation is performed in the following step. However, existing methods do not prevent large candidate groups. In this paper, we proposed an efficient algorithm for approximate k-NN graph construction by regrouping candidate groups. Experimental results show that our approach is more effective than existing methods in terms of graph accuracy and scan rate.

An Efficient Clustering Algorithm based on Heuristic Evolution (휴리스틱 진화에 기반한 효율적 클러스터링 알고리즘)

  • Ryu, Joung-Woo;Kang, Myung-Ku;Kim, Myung-Won
    • Journal of KIISE:Software and Applications
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    • v.29 no.1_2
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    • pp.80-90
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    • 2002
  • Clustering is a useful technique for grouping data points such that points within a single group/cluster have similar characteristics. Many clustering algorithms have been developed and used in engineering applications including pattern recognition and image processing etc. Recently, it has drawn increasing attention as one of important techniques in data mining. However, clustering algorithms such as K-means and Fuzzy C-means suffer from difficulties. Those are the needs to determine the number of clusters apriori and the clustering results depending on the initial set of clusters which fails to gain desirable results. In this paper, we propose a new clustering algorithm, which solves mentioned problems. In our method we use evolutionary algorithm to solve the local optima problem that clustering converges to an undesirable state starting with an inappropriate set of clusters. We also adopt a new measure that represents how well data are clustered. The measure is determined in terms of both intra-cluster dispersion and inter-cluster separability. Using the measure, in our method the number of clusters is automatically determined as the result of optimization process. And also, we combine heuristic that is problem-specific knowledge with a evolutionary algorithm to speed evolutionary algorithm search. We have experimented our algorithm with several sets of multi-dimensional data and it has been shown that one algorithm outperforms the existing algorithms.

A Genetic Algorithm for Materialized View Selection in Data Warehouses (데이터웨어하우스에서 유전자 알고리즘을 이용한 구체화된 뷰 선택 기법)

  • Lee, Min-Soo
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.325-338
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    • 2004
  • A data warehouse stores information that is collected from multiple, heterogeneous information sources for the purpose of complex querying and analysis. Information in the warehouse is typically stored In the form of materialized views, which represent pre-computed portions of frequently asked queries. One of the most important tasks of designing a warehouse is the selection of materialized views to be maintained in the warehouse. The goal is to select a set of views so that the total query response time over all queries can be minimized while a limited amount of time for maintaining the views is given(maintenance-cost view selection problem). In this paper, we propose an efficient solution to the maintenance-cost view selection problem using a genetic algorithm for computing a near-optimal set of views. Specifically, we explore the maintenance-cost view selection problem in the context of OR view graphs. We show that our approach represents a dramatic improvement in terms of time complexity over existing search-based approaches that use heuristics. Our analysis shows that the algorithm consistently yields a solution that only has an additional 10% of query cost of over the optimal query cost while at the same time exhibits an impressive performance of only a linear increase in execution time. We have implemented a prototype version of our algorithm that is used to evaluate our approach.

A Survey of Korean Youths' Gender Equality consciousness and Its Relationship with General Value (한국청소년의 성평등의식 실태와 일반적 가치와의 관계에 관한 연구)

  • Park, Soo-Mi
    • Korea journal of population studies
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    • v.31 no.3
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    • pp.85-106
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    • 2008
  • This study explores Korean youths' gender equality consciousness in an attempt to search for a way to increase youth's gender equality consciousness. First, this study carries out a survey of youths' gender equality consciousness based on questionnaires collected from a nationwide sample. Second, this study attempts to identify key points needed to evaluate youths' gender equality consciousness in terms of youths' general values. The data used for this survey is from the survey on youths' values conducted by Korean Institute for Health and Social Affairs in 2006 with a sample of 11,240 students from 132 schools nationwide. As a result, youths in 2006 had higher gender equality consciousness than that of previous years(2002). Especially, the support for the fair share of domestic work in the house by youths was significantly increased than the past. However, the survey of youths' values showed clear gender gaps in general attitudes of youths including gender equality consciousness. Female students not only had higher gender equality consciousness than male students but also had higher levels of 'universal value' which would allow one to become sensitive to discrimination and 'self development and achievement value'. In contrast, male students scored high on 'power-oriented value' related to discriminatory attitudes. Therefore, the study recommends focusing on alleviating the gender gaps through school education and other various media education.

The Comparative Study on the Physiological Theory of Hyun-Gok (Yun Gil-Young) and the Hyunsang (形象) Theory of Ji-San (Park In-Kyu) (현곡(玄谷)의 생리학설와 지산(芝山)의 형상학설의 비교 연구)

  • Kim, Gyeong-Cheol;Lee, Hai-Woong
    • The Journal of Korean Medical History
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    • v.32 no.2
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    • pp.19-27
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    • 2019
  • For the purpose of searching examination in the connection with clinical medicine and the basic theory of Korean Medicine, we comparatively studied on the physiological system of Hyun-Gok (1912~1987) and the Hyunsang system of Ji-San (1927~2000). The results are as follows. The metabolism of Yin and Yang is connected 'Gallbladder (膽)'-'Bladder (膀胱)' and Man (男), Woman (女), Old aged (老), Young child (小) style. Man and Woman are divided in the body form chacteristic not by the sex. 'Gallbladder (膽)'-'Bladder (膀胱)' style are divided in the body form chacteristic by the terms of Yin (陰) and Yang (陽). 'Gallbladder (膽)' style represents excessive Yang and deficient Yin, 'Bladder (膀胱)' style represents excessive Yin and deficient Yang. The four composition factor of the body is connected Material basis (精) type, Vital energy (氣) type, Mental faculties (神) type and Blood (血) type. In the diagnosis of body form on the Hyungsang Medicine, there are several types of body shape and categories of people. The Material basis (精) type, Vital energy (氣) type, Mental faculties (神) type and Blood (血) type are classified by the four composition factor of the body. The structural-mechanics organization of five Internal Organs (臟) is connected five Internal Organs (臟) types and the running-animal (走), bird (鳥), fish (魚), turtle (甲) types in the Hyunsang system. The five Internal Organs (臟) types are percived on the ears, eyes, nose, mouth and facial complexion. And the running-animal, bird, fish, turtle types are accorded to the individual personalities and the most-developed part in the body trunk by the Organ picture (藏象) theory. The six atmospheric influences (六氣) is connected the six Kyung types (六經形). The six Kyung types are regulated by the shape of eyes and nose representing for the relation of Vital energy (氣) and Blood (血). By the comparative study on the physiological system of Hyun-Gok and the Hyunsang system of Ji-San, we can search the connection with clinical medicine and the basic theory of Korean Medicine.

Cognitive Behavioral Therapy for Primary Insomnia: A Meta-analysis (만성 일차성 불면증 환자에게 적용한 인지행동중재의 효과: 메타분석)

  • Kim, Ji-Hyun;Oh, Pok-Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.407-421
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    • 2016
  • This paper reports a meta-analysis of sixteen studies that evaluated the efficacy of cognitive behavioral therapy (CBT) for persistent primary insomnia. PubMed, Cochrane Library, EMBASE, CINAHL and several Korean databases were searched between January 2015 and June 2015. The main search strategy involved the terms that indicate CBT-I (Cognitive Behavioral Therapy-Insomnia) and presence of insomnia. Methodological quality was assessed using Cochrane's Risk of Bias. Data were analyzed by the RevMan 5.3 program of Cochrane Library. Sixteen clinical trials met the inclusion criteria, resulting in a total of 1503 participants. Stimulus control, sleep restriction, sleep hygiene education, and cognitive restructuring were the main treatment components. CBT-I was conducted for a mean of 5.4 weeks, 5.5 sessions, and an average of 90 minutes per session. The effects of CBT-i on total sleep time (d=-0.31), sleep onset latency (d=-0.29), awakening time after sleep onset (d=-0.55), sleep efficiency (d=-0.70), insomnia severity (d=-0.77) and sleep belief (d=-0.64) were significant. Overall, we found a range from small to moderate effect size. CBT-I also was effective for anxiety (d=-0.30) and depression (d=-0.35). The findings demonstrate that CBT-I interventions will lead to the improvement of both sleep quality and quantity in patients with insomnia.

Technical Trend on the Recycling Technologies for Stripping Process Waste Solution by the Patent and Paper Analysis (특허(特許)와 논문(論文)으로 본 스트리핑 공정폐액(工程廢液) 재활용(再活用) 기술(技術) 동향(動向))

  • Lee, Ho-Kyung;Lee, In-Gyoo;Park, Myung-Jun;Koo, Kee-Kahb;Cho, Young-Ju;Cho, Bong-Gyoo
    • Resources Recycling
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    • v.22 no.4
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    • pp.81-90
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    • 2013
  • Since the 1990s, the rapid development of information and communication industry, the demand for semiconductor and LCD continues to increase. Therefore in the formation of fine circuit patterns, which are the cores of sensitizer and the most expensive thinner and stripper liquor used to remove photoresist and its dilution, the amount in demand are dramatically increasing, emerging need for recycling of waste thinner and stripper liquor. Recently, recycling technologies of stripping process waste solution has been widely studied by economic aspects and environmental aspects, in terms of efficiency of the stripping process. In this study, analyzed paper and patent for recycling technologies of waste solution from stripping process. The range of search was limited in the open patents of USA (US), European Union (EP), Japan (JP), Korea (KR) and SCI journals from 1981 to 2010. Patents and journals were collected using key-words searching and filtered by filtering criteria. The trends of the patents and journals was analyzed by the years, countries, companies, and technologies.