• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1745-1748
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• 2005

Near-infrared spectroscopy (NIRS) can be used to monitor brain activation by measuring changes in the concentration of oxy- and deoxy-hemoglobin (Hb) by their different spectra in the near-infrared range. Because NIRS is a noninvasive, highly flexible and portable device, it is very suitable to study brain activation when a human repeatedly performs a manipulative task, and possibly provides useful information to construct human adaptive mechatronics (HAM). There is some evidence that the dorsolateral prefrontal cortex (DLPFC) plays a major role in working memory and it is proposed that the use of working memory decreases as a human develops manipulative skills. In the present study, we investigated the activation of the dorsolateral prefrontal cortex (DLPFC) of the brain in Brodmann's areas 9 and 46 in drawing tasks to examine whether NIRS can measure the changes of DLPFC activation as a human develops manipulative skills. Subjects performed a mirror image drawing task and a square drawing task by ones' left hands. In the mirror image task the subject drew following a star shape based on a mirror image of it, but square drawing did not involve mirror image and was estimated to be simpler. The changes of the concentration of oxy-Hb was higher in the mirror image drawing than the square drawing in most subjects. The changes of oxy-Hb decreased as the subject repeated the drawing task in most subjects. In conclusion, The activation of DLPFC measured by NIRS can reflect the brain activity in the development of manipulative skills.

• 컴퓨터교육학회논문지
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• 제22권3호
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• pp.67-78
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• 2019

본 연구의 목적은 Web of Science(WoS)에서 제공하는 학술 빅데이터를 활용하여 정보윤리 이슈를 탐색하고 향후 정보과 정보윤리 교육을 위한 시사점을 제공하는 것에 있다. 이를 위해 WoS에서 제공하는 학술논문 중 정보윤리와 관련해 출판된 318편의 논문을 텍스트 마이닝 하였다. 구체적으로는 R을 활용해 주요키워드에 대한 빈도 분석(TF, DF, TF-IDF), 토픽 모델링 기반의 정보윤리 이슈 분석, 그리고 각 이슈에 대한 연도별 출연 빈도를 분석하여 정보윤리 연구의 경향성을 탐색하였다. 주요 결과를 살펴보면 다음과 같다. 첫째, TF-IDF를 통해 'digital', 'student', 'software', 'privacy' 등의 단어가 주요 키워드임을 확인하였다. 둘째, 토픽 모델링 분석 결과, 'Professional value', 'Cyber-bullying', 'AI and Social Impact' 등을 포함한 총 8개 이슈로 분석되었고, 그 중, 'Professional value'와 'Cyber-bullying' 이슈가 상대적으로 높은 비율을 차지하고 있었다. 본 연구는 이러한 분석 결과를 기초로 우리나라 정보윤리 교육을 시사점을 논의하였다.

• 한국임상약학회지
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• 제31권2호
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• pp.115-124
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• 2021

Background: With an increase in the number of breast cancer survivors, greater importance is attached to health-related quality of life, particularly pain and symptom control. This study aimed to identify the factors that are associated with pain in cancer patients based on the patterns of prescribing opioid, non-opioid, and adjuvant analgesics. Methods: This analysis included new patients who had developed breast cancer between 2003 and 2012. The degree of pain was analyzed based on the socio-demographic (age, income quintile, number of hospitalizations, and duration of disease), indicator (Body Mass Index; BMI, Charlson Comorbidity Index; CCI, Cumulative Analgesic Consumption Score; CACS), operation (mastectomy, lymph node dissection), and therapy (chemotherapy, radiation therapy), as well as complication-related variable (lymphedema). Results: As for the patterns of prescribing analgesics by stages, non-opioid and opioid analgesics constituted 30.7 and 69.3%, respectively. The mean value and variance of CACS were 5.596 and 12.567, respectively. The factors that significantly affected the degree of pain were age (≥50; IRR: 1.848, 95% CI 1.564-2.184, p=0.000), income quintile (IRR: 0.964, 95% CI 0.938-0.991, p=0.008), BMI (≥ 25; IRR: 1.479, 95% CI 1.222-1.795, p=0.000), CCI (≥ 4; IRR: 1.649, 95% CI 1.344-2.036, p=0.000), and lymphedema (yes; IRR: 1.267, 95% CI 1.006-1.610, p=0.047). Conclusions: It is necessary to develop systematic and comprehensive pain control measures to improve the quality of life for breast cancer survivors, especially for those who are 50 years or older, lie in the lower-income quintile, have BMI of ≥25 and CCI score ≥ 4, or have lymphedema.

• Journal of Multimedia Information System
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• 제1권1호
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• pp.55-67
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• 2014

Image topic and emotion analysis is an important component of online image retrieval, which nowadays has become very popular in the widely growing social media community. However, due to the gaps between images and texts, there is very limited work in literature to detect one image's Topics and Emotions in a unified framework, although topics and emotions are two levels of semantics that often work together to comprehensively describe one image. In this work, a unified model, Joint Topic/Emotion Multi-Modal Hierarchical Latent Dirichlet Allocation (JTE-MMHLDA) model, which extends previous LDA, mmLDA, and JST model to capture topic and emotion information at the same time from heterogeneous data, is proposed. Specifically, a two level graphical structured model is built to realize sharing topics and emotions among the whole document collection. The experimental results on a Flickr dataset indicate that the proposed model efficiently discovers images' topics and emotions, and significantly outperform the text-only system by 4.4%, vision-only system by 18.1% in topic detection, and outperforms the text-only system by 7.1%, vision-only system by 39.7% in emotion detection.

• 대한한의정보학회지
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• 제21권2호
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• pp.25-33
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• 2015

Purpose: The purpose of this study was to examine hospital nurses' nursing activities changes after DNR(do-not-resuscitate) decision. Methods: The subjects were 120 registered nurses working in two university hospitals. The data were collected from September 1 to September 15, 2015 using self-report questionnaires. The data were analyzed using SPSS 20.0 program. Results: DNR awareness of the educational needs was very high(91.7%). But DNR educational experience was low(59.2%). Nursing activity change was classified as the physical, emotional, spiritual, and social areas. There were significant difference among religion(F=3.459, p=.010), working unit(F=3.410, p=.036), DNR awareness of the educational needs(t=5.048, p=.027), DNR educational experience(t=-2.816, p=.006) and nursing activities changes. Conclusion: Nurses are needed DNR educational programs to take care of DNR patients. And the criteria for nursing activities related to DNR is required.

• 대한한의정보학회지
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• 제21권2호
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• pp.1-9
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• 2015

Purpose: This study was conducted to investigate the perceived image of nurses on major and non-major students. Methods: The subjects were 120 nursing school students and 120 other university students in J province. The data was collected by using structured questionnaire. T-test, ANOVA were performed by SPSS/PC 20.0. Results: The score for image of nurses was as follows. special image($3.86{\pm}0.51$), traditional image($3.71{\pm}0.53$), individual image($3.53{\pm}0.85$), social image($3.43{\pm}0.58$), and grand mean($3.66{\pm}0.48$). Perceived image of nurses was significant difference between students of a major and non-major(t=6.390, p<.001). Conclusion: It is needed to monitoring of media for the improvement the perceived image of nurses and also nurses have to try to make an individual role model.

• Journal of Preventive Medicine and Public Health
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• 제45권1호
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• pp.8-13
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• 2012

Objectives: Recently injury has become a major world-wide health problem. But studies in Korea about injuries were very few. Thus, this study was conducted to analyze the trend of major injuries from 1991 to 2006 and to provide basic data for preventing injuries. Methods: This study was based on the National Statistical Office data from 1991 to 2006 and calculated to estimate the burden of major injuries by using the standard expected years of life lost (SEYLL) and total lost earnings equation. Results: For transport accidents, mortality, SEYLL and total lost earnings were increased from 1991 to 1996 and decreased from 2000 to 2006. On the other hand, for suicides, these were increased gradually. Since 2003, falls were included in ten leading causes of death. This study showed that injury causes major social and economical losses. Conclusions: We could reduce injury related premature death through active interest in injury prevention program.

• Journal of health informatics and statistics
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• 제43권4호
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• pp.318-328
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• 2018

Objectives: People are living longer, but often with diseases or chronic conditions. As a consequence, interest in resolving insurance blind spots is growing. This study provides substandard risk-relevant statistics to help substandard risks who are likely to fall in insurance blind spots obtain insurance coverage, such as the reimbursement of medical costs, as well as to stimulate insurance product development. Methods: This study uses National Health Insurance Service (NHIS) cohort data to determine the relevant statistics. The incidence rates of severe diseases are derived and compared against standard risks to establish a set of relative risk factors. These incidence rates of standard and substandard risks are then compared. Results: Currently, an individual's cancer history is used in the underwriting process for simplified issue insurance. However, underwriting focusing on hospitalization and procedures related to serious illnesses could lower premiums for substandard risks. Moreover, the statistical results could be used to expand the coverage of health insurance products. Conclusions: This study's relative risk factors can be used to derive simplified issue premium rates for substandard risks. They can also be used to implement discount and loading schemes for medical reimbursement insurance and help insurance companies implement proactive risk management.

• Asia pacific journal of information systems
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• 제32권4호
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• pp.750-769
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• 2022

Indonesia has the largest potential mobile payment (m-payment) market in Southeast Asia. The government has realised this through Government's National Non-Cash Movement to increase its adoption. This is then followed up by advocating its adoption massively. However, for this movement to be a success, ensuring its continued use is critical. Various studies have attempted to contribute to this issue. Incorporating game elements into the application that brings benefits and satisfaction to its user is envisaged as one of the most feasible ways. This study, therefore, sets out to investigate the effects of gamification on the m-payment application, which drive the intention to continued use by employing the Uses dan Gratification Theory (UGT). A total of 826 m-payment users were gathered to be analysed using Structural Equation Modelling. The results show that utilitarian, hedonic and social gratifications have significant effects on the continuance usage intention of m-payment. Theoretically, this study contributes to the literature by showing that gamification applied in the payment significantly affects the m-payment continuance usage intention. Practically, this research informs the m-payment providers to maintain the gamification elements in their applications to ensure their sustainable use. Limitations and future research directions are also discussed.

• Journal of Information Science Theory and Practice
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• 제12권2호
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• pp.79-95
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• 2024

The new AI based conversational chatbot, ChatGPT, launched in November 2022, is causing a stir. There are many opinions about this being a 'threat or a promise,' and thus it is important to understand what has been said about this tool and, based on the growing literature that has emerged on the subject, demystify its effective impact on society. To analyse this impact, a systematic literature review with the support of the preferred reporting items for systematic reviews and meta-analysis protocol was used. The data, scientific documents, were collected using the main scientific databases - SCOPUS and Web of Science - and the results were presented based on a bibliometric and thematic exploration of content. The main findings indicate that people are increasingly using this chatbot in more diverse areas. Therefore, this study contributes at the practical level, aiming to enlighten people in general - both in professional and personal life - about this tool and its impacts. Also, it contributes at the theoretical level, which involves expanding understanding and elucidation of the impacts of ChatGPT in different areas of study.