• Title/Summary/Keyword: BIG4

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Effect of belimumab in patients with systemic lupus erythematosus treated with low dose or no corticosteroids

  • Yeo-Jin Lee;Soo Min Ahn;Seokchan Hong;Ji-Seon Oh;Chang-Keun Lee;Bin Yoo;Yong-Gil Kim
    • The Korean journal of internal medicine
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    • v.39 no.2
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    • pp.338-346
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    • 2024
  • Background/Aims: Systemic lupus erythematosus (SLE) responder index (SRI)-4 response has been achieved with belimumab treatment in patients with moderate disease activity in cornerstone clinical trials and following studies. However, most studies involved patients treated with a mean prednisolone-equivalent dose of approximately 10 mg/d and focused on the steroid-sparing effect of belimumab. We aimed to identify the effect of belimumab in patients with mild-to-moderate SLE who were treated with low-dose or no corticosteroids. Methods: We retrospectively reviewed the electronic medical records of patients treated with belimumab for at least 6 months between May 2021 and June 2022. The primary endpoint was SRI-4 response at 6 months. Results: Thirty-one patients were included (13 low dose- and 18 steroid non-users). The mean age was 39.2 ± 11.4 years, and 90.3% of patients were female. The baseline Safety of Estrogens in Lupus Erythematosus National Assessment-Systemic Lupus Erythematosus Disease Activity Index (SELENA-SLEDAI) score was 6.0 (4.0-9.0). The primary endpoint was achieved in 32.3% (10/31) of patients. Significant improvements in anemia, C4 levels, and SELENA-SLEDAI score were observed during treatment. Univariate analysis showed that the baseline SELENA-SLEDAI and arthritis were significantly associated with SRI-4 response at 6 months, and only the SELENA-SLEDAI remained significant (p = 0.014) in multivariate analysis. Conclusions: This cohort study is the first to report the efficacy of belimumab after minimizing the effect of corticosteroids. Belimumab showed efficacy in improving the SELENA-SLEDAI score, anemia, and low C4 in patients who did not receive corticosteroids or received only low doses.

Research on art contents based on 4th industrial technology -Focusing on artificial intelligence painting and NFT art- (4차 산업 기술 기반의 예술 콘텐츠 연구 -인공지능 회화와 NFT 미술을 중심으로-)

  • Bang Jinwon
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.613-625
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    • 2024
  • This study analyzed the convergence case of AI painting and NFT art, art content created based on digital technology, an innovative technology of the 4th industrial technology, and explored its characteristics. Digital technology that innovates the paradigm of life in the 21st century is being used in creative art, and AI painting and NFT art that use it as an expression tool are changing the way they perceive and accept art. AI painting using big data and artificial intelligence technology is evolving into interactive daily art, and NFT art using blockchain and NFT technology is becoming the art of the metaverse with economic and cultural values. Therefore, this study attempted to explore various aspects and values of these digital convergence arts. For the study, representative examples of AI painting and NFT art were classified into cognitive creative AI painting and language generative AI, art economic NFTs, and art and cultural NFTs, and their characteristics, contents, and meanings were analyzed. It is hoped that the results of this study will contribute to the development of AI painting and NFT art, which are digital convergence arts.

Age Determination by Tooth Wear and Histological Analysis of Seasonal Variation of Breeding in the Big White-Toothed Shrew, Crocidura lasiura (우수리땃쥐 Crocidura lasiura의 치아 마모에 의한 연령결정과 번식의 계절적 변이의 조직학적 분석)

  • Jeong, Soon-Jeong;Yoon, Myung-Hee;Choi, Jung-Mi;Kim, Hyun-Dae;Lim, Do-Seon;Park, Jin-Ju;Choi, Baik-Dong;Jeong, Moon-Jin
    • Applied Microscopy
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    • v.40 no.1
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    • pp.37-45
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    • 2010
  • Captured wild specimens of the big white-toothed shrew, Crocidura lasiura were classified into three age classes by tooth wear and height of molars, and seasonal variations of breeding and reproductive organs were examined. Juveniles had not tooth wear in molars and height of the third molars were lower than the first and second molars, and had only non-breeding condition. Young adults had little tooth wear and the third molars reached to the first and second molars, and old adults had heavy tooth wear in molars, young adults and old adults had breeding or non-breeding condition according to the season. On the basis of histological examination, seasonal variations of breeding were confirmed that breeding condition of young and old adult males were continued from early February to early October although the breeding activity was the highest in April, that of females were continued from the end of March to October, males reached sexual maturity earlier than females. Whereas the breeding condition seems to cease for non-breeding season because of the deficiency of food resources, soil invertebrates. Young and old adult males of the breeding season had large testes with enlarged seminiferous tubules that were filled with numerous germ cells, and expanded caudal epididymides with a vast number of spermatozoa, and were more than 10.0 g in the body weight and 0.03 g in the testis and epididymis weight. The females of the breeding season were pregnant condition with 4~6 litters or had the Graafian follicles and the corpus lutea in the ovary, and were more than 9.6 g in the body weight.

A Study on the Value-Relevance of Intangible Expenditure: compare high-technology firms to low-technology firms (첨단산업과 비첨단산업의 무형자산성 지출의 가치관련성에 대한 비교연구)

  • Lee, Chae Ri
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.1
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    • pp.153-164
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    • 2014
  • This study is to investigate the effects of intangible assets such as research & development, education & training and advertisement on firm values of high-technology firms and low-technology firms listed in the KOSDAQ market, and to analyze the value-relativeness between the audit quality of companies and the expenditure of intangible assets. The substitute measurement of firm values is Tobin's Q model. The sample period for positive analysis is from 2003 to 2008, and the samples, excepting for financial business, are manufacturing companies of closing accounts corporate on December, based on companies of KOSDAQ that are listed in security. Finally, data from about 305 companies are used in this analysis. Followings are the results of the analysis. First, research & development, education & training of high-technology firms have an effect on firm values, and education & training of low-technology have an effect on firm values. Second, we find that audit quality(BIG4) increases the value relevance of R&D expenditures of high-technology firms and audit quality(BIG4) increases the value relevance of education & training expenditures of low-technology firms. This paper is meaningful in that it verified the value-relativeness of cost of intangible assets compared with high-technology firms to low-technology firms.

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Analysis of the Relationship between a Batter's Performance and Discomfort Index using Big Data: focusing on the Number of Pitches and On Base Percentage (빅데이터를 활용한 타자의 출루 관련 경기력과 불쾌지수의 관계 분석 : 투구 수 유도와 출루율을 중심으로)

  • Kim, Semin;You, Kangsoo
    • Journal of Industrial Convergence
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    • v.18 no.4
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    • pp.61-66
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    • 2020
  • Recently, attempts have been made to use data to operate games, seasons, and teams in professional baseball. Therefore, in this study, we collected baseball game records and analyzed the relationship between on-base rate and pitching count induction, and this was defined as the third record for non-game factors such as discomfort index, which includes the weather application data. When the discomfort index was over 75, the pitcher's induction of pitching was high, and when the discomfort index was less than 69.9, the on-base rate was high, but when the discomfort index was 70 or more and less than 75, the batter's on-base performance was the lowest. Through the results of the study, it could be inferred that the discomfort index, the batter's on-base rate, and the number of induction pitches are related, and that it is highly likely to be related to the pitcher's performance. Through this study, we could see the possibility of defining a cumulative/ratio record defined as the primary record and a saver metric defined as the secondary record, and a third, tertiary record linking data outside the game.

Analysis of Wartime Personal Mobilization Using Big-data (빅데이터를 활용한 전시 병력동원 응소율 분석)

  • Kim, Se-Yong;Koo, Hoon Young
    • Journal of the Korea Society for Simulation
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    • v.28 no.4
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    • pp.57-65
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    • 2019
  • Recently, the Korean military has been drastically reducing its active-duty troops due to rapid demographic changes and the reconciliatory mode between the two Koreas. Under these circumstances, the wartime reserve forces play an important role. In times of war, a successful personal mobilization is critical especially in early combat stage. Previous research has been carried out using insufficient data collected only within the military and there have been limitations on empirical analysis due to changes in the designation methods for personal mobilization. This study analyzes how much of the reserve forces can be filled at the prescribed time by analyzing the transportation route of the reserve forces in wartime by utilizing military-related data and credit card usage data of the reserve forces residing in Yong-in city. The analysis showed that all reserve forces could not be called up within the prescribed time. In particular, Gangwon Province has shown results of less than 70 percent call-ups, and could cause serious weakening of combat capabilities in the early stages of the war. The main reasons could be the difference between the actual residence and the residence address and the excessive time caused by the traffic congestion.

The big data method for flash flood warning (돌발홍수 예보를 위한 빅데이터 분석방법)

  • Park, Dain;Yoon, Sanghoo
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.245-250
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    • 2017
  • Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.

Study on Service Internship Participation Determinant Contents of Undergraduate Students to Influence Their Career (대학생 진로에 영향을 미치는 서비스 인턴십 참여결정 콘텐츠 요인 분석)

  • Park, Hye-Young;Hur, Sun-Joo
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.595-604
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    • 2015
  • This study aimed to analyze service internship participation determinant contents of undergraduate students who major in airline service to influence their career. To accomplish this purpose, data collected from 211 students were analysed using logistic regression analysis. Personal characteristic, big 5character factors, social support were analysed as service internship determinant contents. The research results showed grade, GPA, broad experience, flight experience among personal characteristics and extraversion among big 5factors personality as significant service internship determinant contents of students. Also, the research results showed career preparation, career decision making self-efficacy and social support as non-significant service internship determinants of students. It was concluded that active participation with service internship is imperative for undergraduate students in airline service major to enhance career competence upon graduation.

Case Analysis on High Concentration of SO2 and Review on Its Reduction Policy in the Ulsan Metropolitan Area since 2001 (울산 지역에서 2001년 이후 이산화황(SO2)의 고농도 사례 분석과 저감 정책 방안의 검토)

  • Moon, Yun-Seob
    • Journal of Environmental Science International
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    • v.17 no.4
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    • pp.423-437
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    • 2008
  • Until comparatively lately, the annual time series of the $SO_2$ concentration had been shown in a decreasing trend in Ulsan as well as other Korean cities. However, the high concentration of $SO_2$ was frequently found in the specific countermeasure region including the national industrial complex such as Mipo and Onsan in the Ulsan city for the period of $2001{\sim}2004$. There are many conditions that can influence the high concentration of $SO_2$ at monitoring sites in Ulsan, such as: First, annual usage of the fuel including sulfur increased in comparison with the year before in spite of the fuel conversion policy which wants to use low sulfur oil less than 3% and LNG. Second, point source, such as the power plants and the petroleum and chemistry stacks, was the biggest contributor in $SO_2$ emission, as a analyzed result of both the air quality modeling and the stack tole-monitoring system (TMS) data. And third, the air pollutants that occurred in processes of homing and manufacturing of the fuel including sulfur were transported slow into a special monitoring site by accumulating along the frontal area of see-breeze. It was concluded that Ulsan's current environmental policy together with control methods should be changed into the regulation on total amount of emission, including a market-based emission trading with calculating of atmospheric environmental critical loads, for the $SO_2$ reduction like the specific countermeasure for the $O_3$ and PM10 reduction in the Seoul metropolitan area. And this change should be started in the big point sources of $1{\sim}3$ species because they are big contributors of Ulsan's $SO_2$ pollution. Especially it is necessary to revitalize of the self-regulation environmental management. Other control methods for sustaining the $SO_2$ reduction are as follows: maintenance of the fuel conversion policy, reinforcement of the regional stationary source emission standard, and enlargement of the stack TMS.

An Analysis of the Result of National Assessment of Educational Achievement in Science at Grade 9 (국가수준 학업성취도 평가에 나타난 중학교 3학년 학생들의 과학 성취도 분석)

  • Kim, Hyun-Kyung;Jeong, Jin-Su
    • Journal of Science Education
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    • v.36 no.2
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    • pp.394-407
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    • 2012
  • This study analyzed the result of the National Assessment of Educational Achievement (NAEA) in a Grade 9 Science class. The study first found that the ratio of below basic achievement was 8.1 percent. This means that a large number of middle school students have not reached basic scientific literacy. Second, the ratio of male students in the below basic level was 10.4 percent, which was double the ratio of female students at 5.5 percent. Third, according to the analysis of achievement by gender, female students outperformed male students. In addition, the female students' standard deviation was smaller than that of the male students, and their scaled scores were distributed nearer the average than that of the male students. Furthermore, analysis of achievement by content domains indicated that females outperformed in all content domains including motion and energy, materials, life, and earth sciences. Showing a similar tendency in the behavior domains, females outperformed males in all behavior domains except the understanding domain. Last, for achievement by living area, students living in the middle and small cities showed the highest scaled score, 196.81. Whereas the average scaled score of the students living in the big cities was 196.15; that of the students living in rural areas was 194.86. With respect to the standard deviation, big cities had the largest, 33.73. That of middle and small cities was 33.70, and of rural areas was 32.92. Although students in cities showed higher achievement in science compared to students in rural areas, they had a bigger gap in academic achievement.

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