• Title/Summary/Keyword: Presence-Only Data

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Comparison of Species Distribution Models According to Location Data (위치자료의 종류에 따른 생물종 분포모형 비교 연구)

  • Seo, Chang-Wan;Park, Yu-Ri;Choi, Yun-Soo
    • Journal of Korean Society for Geospatial Information Science
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    • v.16 no.4
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    • pp.59-64
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    • 2008
  • We need to use the strength of each Species Distribution Model(SDM) because presence location data were only collected due to time and economic limitations in Korea. This study investigated and compared GAM(Generalized Additive Model) which is one of presence-absence models with Maxent(Maximum Entropy Model) which is one of presence only models according to location data(presence/absence data). The target species was Fisher(Martes pennanti) which is an endangered species in California, USA. We implemented environmental data such as topography, climate and vegetation, and applied models to sub-regions and study area. The results of this study were as follows. Firstly, GAM which used real presence and absence data was better than GAM which used pseudo-absence data and Maxent which used presence-only data. Secondly, Maxent was better than GAM when presence-only data were used. Lastly, each model which applied to different regions didn't predict other area well due to the difference of habitat environment and over-predicted outside of study area. We need to select an optimal model to predict a suitable habitat according to the type and distribution of location data.

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Estimating the AUC of the MROC curve in the presence of measurement errors

  • G, Siva;R, Vishnu Vardhan;Kamath, Asha
    • Communications for Statistical Applications and Methods
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    • v.29 no.5
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    • pp.533-545
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    • 2022
  • Collection of data on several variables, especially in the field of medicine, results in the problem of measurement errors. The presence of such measurement errors may influence the outcomes or estimates of the parameter in the model. In classification scenario, the presence of measurement errors will affect the intrinsic cum summary measures of Receiver Operating Characteristic (ROC) curve. In the context of ROC curve, only a few researchers have attempted to study the problem of measurement errors in estimating the area under their respective ROC curves in the framework of univariate setup. In this paper, we work on the estimation of area under the multivariate ROC curve in the presence of measurement errors. The proposed work is supported with a real dataset and simulation studies. Results show that the proposed bias-corrected estimator helps in correcting the AUC with minimum bias and minimum mean square error.

BLE Signals-based Machine Learning for Determining Indoor Presence (BLE 신호 기반 기계학습을 이용한 재실 여부 결정 방법)

  • Kim, Seong-Chang;Kim, Jin-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.12
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    • pp.1855-1862
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    • 2022
  • Various indoor location-based services can be provided through indoor presence determination and indoor positioning technology using Beacon. However, since the BLE signal advertised by the beacon has an unstable RSSI due to problems such as multi-path fading, it is difficult to guarantee the accuracy of indoor presence determination. In this paper, data were collected while the classroom door was open to ensure accuracy in various situations. Based on the collected data, we propose an indoor presence determination method considering the characteristics of the signal. The proposed method uses support vector machine, showed about 10% accuracy improvement compared to the results using raw RSSI only. This method has the advantage of being able to accurately determine indoor presence with only one receiver. It is expected that the proposed method can implement a low-cost system for determining indoor presence with high accuracy.

The Release of Hepatic triglyceride Lipase from Rat Monolayered Hepatocytes in Primary Culture (일차배양 쥐간세포로부터 간트리글리세리드 Lipase의 유리)

  • ;Yam
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.20 no.1
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    • pp.40-45
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    • 1991
  • The release of hepatic triglyceride lipase from cultured rat hepatocytes and its hormonal regulation were studied. The activity of lipase released into the medium in the presence of heparin was increasing during 24 hours on the 2nd of culture while this was 10% in the absence of heparin as compared with the lipase activity in the presense of heparin. When hepatocytes were cultured with anti-hepatic triglyceride lipase lgG the lipase activity was supp-ressed by 92% The results suggest that the enzyme relaeased into culture medium is identical to hepatic triglyceride lipase which can be released only in the presence of heparin the model of release being similar to that of lipoprotein lipase from adipocytes. The addition of monensin to the medium resulted in The inhibition of lipase secretion by 61% Insulin enhanced lipase activity only 20% whereas dexamethasone suppressed the activity by 44% These data inidica-ted that hepatic triglyceride lipase is secreted and released from hepatocytes in the presence of heparin and its secretion is regulated by hormones.

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The Effect of Media Richness, Social Presence, and Life Satisfaction on Continuance Usage Intention or Withdrawal Intention of SNS Users via Relative Deprivation (매체 풍요도, 사회적 존재감 및 생활 만족도가 상대적 박탈감을 통해 SNS 이용자의 이용 지속 의도 또는 이탈 의도에 미치는 영향)

  • Lee, Un-Kon
    • Journal of Distribution Science
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    • v.14 no.10
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    • pp.165-178
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    • 2016
  • Purpose - This study aims to empirically verify the impact of media richness, social presence, and prior life satisfaction on various continual usage or withdrawal behaviors of SNS users via both a positive path of satisfaction and a negative path of relative deprivation. By identifying these causal paths, we observe dynamic interactions of SNS user psychology in a balanced view, and provide some implications about design principles for SNS providers. Research design, data, and methodology - We developed 16 hypothesis based on media richness theory, social presence theory, social comparison theory, the literature about relative deprivation, and the literature about the various reactions of IS users. The rich SNS media, social presence recognition among peer SNS users, and prior life satisfaction could generate positive experience, attitude, and virtuous behavioral intentions among SNS users. At the same time, rich media, low social presence, and low prior life satisfaction could generate relative deprivation and could increase withdrawal behavioral intentions such as refusal to provide information, misrepresentation of information, and removal of uploaded information in SNS. Scenario surveys were conducted to collect data from potential SNS users. Data from 357 surveys were collected and analyzed through a PLS algorithm to test the hypotheses. Results - Media richness, social presence, and prior life satisfaction could significantly increase perceived enjoyment, satisfaction, and behavioral intention of continual usage and knowledge sharing. They also could significantly decrease refusal and misrepresentation intention. Relative deprivation is significantly decreased only by prior life satisfaction. Relative deprivation could not significantly decrease satisfaction, but it could significantly increase misrepresentation and removal intention, which could be regarded as information distortion intention. Conclusions - SNS providers should focus on developing rich media and social presence support because these two variables could impact the positive experiences of SNS users. Moreover, the positive experiences could heavily influence SNS user behavior. Some management is needed to prevent relative deprivation and its consequences of misrepresentation and removal intention. SNS providers should prevent SNS users from excessive image misrepresentation and removal as this information distortion could be the source of relative deprivation.

The Effect of Live Commerce Characteristics on Consumption Behavior Mediated by Presence -Focusing on Interaction and Streamer Attributes- (라이브 커머스 특성이 실재감을 매개로 소비행동에 미치는 영향 -상호작용성과 스트리머 속성을 중심으로-)

  • Kwon, Ki Yong;Kim, Woo Bin
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.5
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    • pp.741-759
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    • 2022
  • This study examines the effect of live commerce characteristics on consumption behavior mediated by presence. As contactless shopping has become the new normal, live commerce is emerging as an innovative communication service between consumers and sellers. We examine the role of interaction and streamers' attributes on sharing and purchase intention by mediating social presence and telepresence. A web-based experiment was conducted to test our hypotheses. The data of 267 participants were analyzed using SPSS 23.0 and AMOS 21.0. The results showed that the Streamer-Consumer interaction had a positive effect on social presence and telepresence. By contrast, the Consumer-Consumer interaction had no significant effect on social presence and telepresence. We further found that streamer trustworthiness had a positive effect on both social presence and telepresence, while streamer attractiveness had a positive effect only on telepresence. Thus, social presence and telepresence positively influenced sharing and purchase intention. Overall, these findings illustrate that the Streamer-Consumer interaction and streamer trustworthiness are vital characteristics that lead to higher levels of presence using live commerce. Several academic and managerial implications are suggested based on these results.

Effect of Modified Livecommercescapes on Repurchase Intention: Mediating Roles of Perceived Usefulness and Flow (수정된 라이브커머스 스케이프가 재구매의도에 미치는 영향: 지각된 유용성과 플로우의 매개역할 )

  • Sang-Min KIM;Jae-Myung HWANG;Young-Won KIM
    • The Korean Journal of Franchise Management
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    • v.15 no.2
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    • pp.17-37
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    • 2024
  • Purpose: This study used the SOR model to analyze the impact of live commerce's modified livecommercescape factors (interactivity, presence, playfulness, convenience, and broadcaster characteristics) on repurchase intention through usefulness and flow. Research design, data, and methodology: 1,149 respondents with live commerce purchase experience were collected through an online survey, and the collected data was analyzed with SPSS 25.0 and SmartPLS 4.0 statistical package programs. Results: Presence and playfulness were found to have the highest influence on flow and usefulness. In particular, Presence and broadcaster characteristics were found to be the factors that had the greatest influence on flow. Playfulness was found to have the greatest impact on usefulness, and two-way communication was found to have the lowest influence among the five servicescape factors. Broadcaster characteristics also affect flow but not usefulness, and convenience only affects usefulness and does not affect flow. Flow shows results that affect usefulness and repurchase intention. Conclusion: Our findings provide a richer understanding of causal relationships within the SOR framework, demonstrating that broadcaster characteristics, two-way communication, presence, and playfulness can influence flow, perceived usefulness, and, consequently, consumer purchasing behavior.

Determinants of Quality of Life, Depending on the Presence or Absence of Asthma in Adults, Based on the 6th Korea National Health and Nutrition Examination Survey (제6기 국민건강영양조사 자료에 기초한 성인의 천식 유무에 따른 삶의 질 영향요인)

  • Jo, Eun-hee;Lee, Su-jin
    • The Korean Journal of Health Service Management
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    • v.13 no.3
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    • pp.127-136
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    • 2019
  • Objectives: This study examined the determinants of quality of life, depending on the presence or absence of asthma in adults, based on secondary wave data. Methods: Among the 21,724 people participating in the 6th Korea National Health and Nutrition Examination Survey as it was conducted from the first to third period, 495 participants who were aged 19 or older and responded to the question of the presence or absence of asthma were included in the final analysis. Demographic characteristics were examined using the SPSS/WIN 23.0 software tool for analysis of complex sample survey data. Health-related characteristics were presented using descriptive and multivariate analysis of data. Rao_Scott ${\chi}^2$ was used for the analysis of differences in quality of life, and multiple regression analysis of complex sample survey data was used to analyze factors affecting quality of life. Results: The variable factors negatively influencing quality of life were aging, cognition of their ill health, and limited activities. Conclusions: Based on the analysis, the study suggests that practical and ongoing nursing intervention proposals to improve the quality of life of asthmatic patients should be implemented not only for physical limitations and aging but also for psychological factors that reflect subjective health statuses.

The Effect of UV-A and Reactive Oxygen Species on Glycosylation and Fragmentation of Calf Skin Collagen

  • Wan Goo Cho;Sang Jin Kang;Seong Don Hong;Quse Chae
    • Bulletin of the Korean Chemical Society
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    • v.14 no.1
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    • pp.107-109
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    • 1993
  • Non-enzymatic glycosylation and fragmentation of collagen molecule were investigated by irradiating Ultraviolet A(UV-A) with or without scavengers of reactive oxygen species (ROS) in the presence of glucose. Non-enzymatic glycosylation was increased by UV-A at high concentration of glucose. It was reduced in the presence of the scavengers of superoxide radical and singlet oxygen, but not reduced in the presence of hydroxy radical scavenger. Fragmentation of collagen was increased by UV-A, but it was decreased in the presence of all ROS scavengers tested. Superoxide radical and singlet oxygen produced by autoxidation of glucose without UV-A may encounter the initial phase of glycosylation. Data presented here suggest that UV-A affects only on the fragmentation process, but all ROS except hydroxy radical act on both processes. It appears that hydroxy radical does not act on the glycosylation process.

Rank Tests for Multivariate Linear Models in the Presence of Missing Data

  • Lee, Jae-Won;David M. Reboussin
    • Journal of the Korean Statistical Society
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    • v.26 no.3
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    • pp.319-332
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    • 1997
  • The application of multivariate linear rank statistics to data with item nonresponse is considered. Only a modest extension of the complete data techniques is required when the missing data may be thought of as a random sample, and an appropriate modification of the covariances is derived. A proof of the asymptotic multivariate normality is given. A review of some related results in the literature is presented and applications including longitudinal and repeated measures designs are discussed.

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