• 제목/요약/키워드: Presence-Only Data

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동기식 온라인창업교육의 학습자만족 모델 개발 (A Study on Developing the Model of Learner Satisfaction in Synchronous Online Entrepreneurship Education)

  • 변영조;이상한;김재영
    • 지식경영연구
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    • 제21권2호
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    • pp.119-135
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    • 2020
  • Owing to pandemic (COVID-19), the traditional face-to-face education method has been changed to the non-face-to-face real-time online education methods. Using a real time-based video conference system, synchronous education can be adopted by face-to-face class easily. Specially, it is very important to minimize the difference in learning effects between face-to-face and non-face-to-face in Entrepreneurship education. In this study, in order to derive the factors that affect the satisfaction of learners in synchronous online education, authors collected data from learners taking a synchronous entrepreneurship course. Through previous research, learned the reality of education and the composition of lessons. Spatiotemporal effectiveness, mentor ability, and educational environment influence learning satisfaction. PLS-SEM results revealed that it was confirmed that only spatiotemporal effects affect learner satisfaction. However, the education environment (fluent operation and convenience of function use of real-time based online conference system) effect teaching presence, class structure, and spatiotemporal effects. Through this research, we hope to provide theoretical and practical support for developing effective teacher activities, proper lesson structure, convenient function of the conference system, and learner-centered online learning environment when developing synchronous online classes.

A new function of glucocorticoid receptor: regulation of mRNA stability

  • Park, Ok Hyun;Do, Eunjin;Kim, Yoon Ki
    • BMB Reports
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    • 제48권7호
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    • pp.367-368
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    • 2015
  • It has long been thought that glucocorticoid receptor (GR) functions as a DNA-binding transcription factor in response to its ligand (a glucocorticoid) and thus regulates various cellular and physiological processes. It is also known that GR can bind not only to DNA but also to mRNA; this observation points to the possible role of GR in mRNA metabolism. Recent data revealed a molecular mechanism by which binding of GR to target mRNA elicits rapid mRNA degradation. GR binds to specific RNA sequences regardless of the presence of a ligand. In the presence of a ligand, however, the mRNA-associated GR can recruit PNRC2 and UPF1, both of which are specific factors involved in nonsense-mediated mRNA decay (NMD). PNRC2 then recruits the decapping complex, consequently promoting mRNA degradation. This mode of mRNA decay is termed "GR-mediated mRNA decay" (GMD). Further research demonstrated that GMD plays a critical role in chemotaxis of immune cells by targeting CCL2 mRNA. All these observations provide molecular insights into a previously unappreciated function of GR in posttranscriptional regulation of gene expression. [BMB Reports 2015; 48(7): 367-368]

Ditching the Party: Disaggregating Split Ticket Voting in Taiwan's 2016 Legislative Election

  • Rich, Timothy S.
    • 분석과 대안
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    • 제3권1호
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    • pp.63-92
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    • 2019
  • What motivates split-ticket voting in mixed electoral systems, where voters choose one party in district races and another party on the party list ballot? While much of the literature assumes strategic intent, three aspects commonly are overlooked: the competitiveness of district races, the presence of a district candidate from one's preferred party, and whether voters know the electoral threshold for party list seats. Furthermore, few studies disaggregate types of split-ticket voting (e.g. not voting for one's preferred party in a district vs. party list). Taiwan provides an intriguing case study for analysis, not only as a relatively new adopter of a mixed system, but also the presence of additional conditions that would encourage at least the consideration of a split ticket. Using survey data from the Taiwan's Election and Democratization Studies (TEDS) after the Taiwan's 2016 Legislative Yuan election, this analysis finds that knowing the threshold, the winner's margin, and the placement of a district candidate from one's preferred party all influence split-ticket voting among those with a partisan preference. However, closer inspection identifies a distinction between defecting from the district versus the party list. Evidence shows that district competitiveness and candidate placement influences defection from the district candidate, while the electoral threshold influences defection from the party list. The results add to our understanding of strategic and non-strategic incentives in mixed systems.

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상용치료원 보유와 건강정보 이해능력의 관계: 도시와 농촌 비교 (The Relationship between Access to Usual Source of Care and Health Literacy: A Comparison between Urban and Rural Areas)

  • 조승연
    • 농촌의학ㆍ지역보건
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    • 제49권3호
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    • pp.205-215
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    • 2024
  • Objective: This study aimed to estimate the impact of having and the type of usual source of care on the health literacy of rural residents. Methods: Using data from the 2021 Korea Health Panel Survey, the regression model was estimated, in which the presence and type of usual source of care, categorized as medical institutions and primary care physicians, were incorporated as explanatory variables. The level of health literacy was used as the dependent variable. Additionally, statistical analysis was conducted to compare how socio-demographic backgrounds and the presence and type of usual source of care are associated with health literacy between urban and rural residents. Results: The effect of usual source of care on the level of health literacy was significant only when the service provider was the public health institution. However, this effect was smaller for rural residents than for urban residents. When the usual source of care was an internal medicine or Korean traditional medicine doctor, the level of health literacy increased than the other types of doctor. Conclusion: To improve rural residents' health literacy, it is necessary to enhance access to public health care service and provide education programs.

Region and Global-Specific PatchCore based Anomaly Detection from Chest X-ray Images

  • Hyunbin Kim;Junchul Chun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권8호
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    • pp.2298-2315
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    • 2024
  • This paper introduces a method aimed at diagnosing the presence or absence of lesions by detecting anomalies in Chest X-ray images. The proposed approach is based on the PatchCore anomaly detection method, which extracts a feature vector containing location information of an image patch from normal image data and calculates the anomaly distance from the normal vector. However, applying PatchCore directly to medical image processing presents challenges due to the possibility of diseases occurring only in specific organs and the presence of image noise unrelated to lesions. In this study, we present an image alignment method that utilizes affine transformation parameter prediction to standardize already captured X-ray images into a specific composition. Additionally, we introduce a region-specific abnormality detection method that requires affine-transformed chest X-ray images. Furthermore, we propose a method to enhance application efficiency and performance through feature map hard masking. The experimental results demonstrate that our proposed approach achieved a maximum AUROC (Area Under the Receiver Operating Characteristic) of 0.774. Compared to a previous study conducted on the same dataset, our method shows a 6.9% higher performance and improved accuracy.

Epidemiological survey of Giardia spp. and Blastocystis hominis in an Argentinian rural community

  • Minvielle, Marta-Cecilia;Pezzani, Betina-Cecilia;Cordoba, Maria-Alejandra;De Luca, Maria-Marta;Apezteguia, Maria-Carmen;Basualdo, Juan-Angel
    • Parasites, Hosts and Diseases
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    • 제42권3호
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    • pp.121-127
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    • 2004
  • The aim of this study was to relate personal data, socio-cultural and environmental characteristics, and the presence of symptoms/signs with the frequencies of Giardia spp. and Blastocystis hominis among a rural population in Buenos Aires Province, Argentina. Of the surveyed population (350), 3.7% were infected with only Giardia spp. or 22.9% with B. hominis, and 2.3% were infected with both protozoa. The frequency of infection according to sex; 6.1% of males were infected and 1.6% of females by Giardia spp., 26.7% and 19.5% by B. hominis, and 2.4% and 2.2% by both parasites, respectively. Giardia spp. was detected in only three adults (over 14 years), but B. hominis was more frequent in adults than in children. The prevalences of these protozoa in this community are lower than those reported by other Argentinean studies, which is probably associated with the low density of the studied population ($5.95{\;}inhab/\textrm{km}^2$). Statistical analysis revealed that a male sex, flooding of the home, the use of a latrine, and an abdominal pain were correlated with the presence of these parasites, which indicate the importance of these factors in rural communities.

다단계 스택 지향 포인터가 있는 프로그램 테스트를 위한 테스트 데이터 자동 생성 (Automated Test Data Generation for Testing Programs with Multi-level Stack-directed Pointers)

  • 정인상
    • 정보처리학회논문지D
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    • 제17D권4호
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    • pp.297-310
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    • 2010
  • 최근에 콘콜릭 테스트이라 불리는 새로운 테스팅 방법이 많은 관심을 받고 있다. 콘콜릭 테스팅은 높은 테스트 커버리지를 달성하기 위해 실제 프로그램 수행과 심볼릭 수행을 결합하여 테스트 데이터를 생성한다. CREST는 콘콜릭 테스팅을 구현한 대표적인 open-source 테스트 도구이다. 그러나 현재 CREST는 입력으로 정수형만 다룬다. 이 논문은 포인터형인 입력이 존재하는 경우에 자동 테스트 데이터 생성을 위한 새로운 규칙을 제안한다. 이 규칙들은 C 프로그램에서 주로 사용되는 다단계 스택 지향 포인터를 효과적으로 처리한다. 또한, 이 논문에서는 제안 된 규칙을 구현한 vCREST라 불리는 도구에 대해 기술하고 C 프로그램에 적용한 결과도 함께 기술한다.

DEA모형을 이용한 전력회사의 효율성 분석에 관한 연구 (Measuring Efficiency of Global Electricity Companies Using Data Envelopment Analysis Model)

  • 김태웅;조성한
    • 자원ㆍ환경경제연구
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    • 제9권2호
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    • pp.349-371
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    • 2000
  • Data Envelopment Analysis model is a linear programming based technique for measuring the relative performance of organizational units where the presence of multiple inputs and outputs makes comparison difficult. A common measure for relative efficiency is weighted sum of outputs divided by weighted sum of inputs. DEA model allows each unit to adopt a set of weight that shows it in the most favorable light in comparison to the other unit. In this paper, we present the mathematical background and characteristics of DEA model, and give a short case study where we apply the DEA model to evaluate the relative efficiencies of 51 global electricity companies. The technical efficiency and scale efficiency are also to be investigated. Generating capacity and the number of employees are used for input data, and revenue, net profit and electricity sales are used for output data. We find that the companies with 100% relative efficiency are only 9 among 51 electricity companies. And the technical and scale efficiency of KEPCO is 98.7% and 78.89%, respectively. This means that the inefficiency of KEPCO is caused by the scale inefficiency. The analysis shows that the employees should be decreased by 15% at minimum to get the 100% efficiency. The result suggests that KEPCO needs the structural reform to improve the efficiency.

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DNA Barcode Examination of Bryozoa (Class: Gymnolaemata) in Korean Seawater

  • Lee, Hyun-Jung;Kwan, Ye-Seul;Kong, So-Ra;Min, Bum-Sik;Seo, Ji-Eun;Won, Yong-Jin
    • Animal Systematics, Evolution and Diversity
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    • 제27권2호
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    • pp.159-163
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    • 2011
  • DNA barcoding of Bryozoa or "moss animals" has hardly advanced and lacks reference sequences for correct species identification. To date only a small number of cytochrome c oxidase subunit I (COI) sequences from 82 bryozoan species have been deposited in the National Center for Biotechnology Information (NCBI) GenBank and Barcode of Life Data Systems (BOLD). We here report COI data from 53 individual samples of 29 bryozoan species collected from Korean seawater. To our knowledge this is the single largest gathering of COI barcode data of bryozoans to date. The average genetic divergence was estimated as 23.3% among species of the same genus, 25% among genera of the same family, and 1.7% at intraspecific level with a few rare exceptions having a large difference, indicating a possibility of presence of cryptic species. Our data show that COI is a very appropriate marker for species identification of bryozoans, but does not provide enough phylogenetic information at higher taxonomic ranks. Greater effort involving larger taxon sampling for the barcode analyses is needed for bryozoan taxonomy.

Spatio-temporal potential future drought prediction using machine learning for time series data forecast in Abomey-calavi (South of Benin)

  • Agossou, Amos;Kim, Do Yeon;Yang, Jeong-Seok
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.268-268
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    • 2021
  • Groundwater resource is mostly used in Abomey-calavi (southern region of Benin) as main source of water for domestic, industrial, and agricultural activities. Groundwater intake across the region is not perfectly controlled by a network due to the presence of many private boreholes and traditional wells used by the population. After some decades, this important resource is becoming more and more vulnerable and needs more attention. For a better groundwater management in the region of Abomey-calavi, the present study attempts to predict a future probable groundwater drought using Recurrent Neural Network (RNN) for future groundwater level prediction. The RNN model was created in python using jupyter library. Six years monthly groundwater level data was used for the model calibration, two years data for the model test and the model was finaly used to predict two years future groundwater level (years 2020 and 2021). GRI was calculated for 9 wells across the area from 2012 to 2021. The GRI value in dry season (by the end of March) showed groundwater drought for the first time during the study period in 2014 as severe and moderate; from 2015 to 2021 it shows only moderate drought. The rainy season in years 2020 and 2021 is relatively wet and near normal. GRI showed no drought in rainy season during the study period but an important diminution of groundwater level between 2012 and 2021. The Pearson's correlation coefficient calculated between GRI and rainfall from 2005 to 2020 (using only three wells with times series long period data) proved that the groundwater drought mostly observed in dry season is not mainly caused by rainfall scarcity (correlation values between -0.113 and -0.083), but this could be the consequence of an overexploitation of the resource which caused the important spatial and temporal diminution observed from 2012 to 2021.

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