• 제목/요약/키워드: data-intensive science

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중환자실 간호사의 환자안전간호활동 영향요인 (Factors Influencing Patient Safety Nursing Activities of Intensive Care Unit Nurses)

  • 김재은;송주은;안정아;부선주
    • 중환자간호학회지
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    • 제14권2호
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    • pp.12-23
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    • 2021
  • Purpose : The purposes of this study were to examine the levels of job stress, perceptions of the patient safety culture, and patient safety nursing activities, and to identify factors influencing patient safety nursing activities among intensive care unit (ICU) nurses. Methods : For this cross-sectional study, data were collected from 161 ICU nurses working in two university-affiliated hospitals in Gyeonggi-do between June 30 and July 30, 2020. The data were analyzed with descriptive statistics, an independent t-test, a one-way ANOVA, the Pearson correlation method, and multiple regression using the SPSS program. Results : The average levels of job stress, perception of patient safety culture, and patient safety nursing activities were 3.48, 3.44, and 4.45 out of 5, respectively. Multiple regression showed that perception of patient safety culture and career in current workplace were found to be statistically significant correlates of patient safety nursing activities. Conclusion : In order to promote patient safety nursing activities, patient safety culture needs to be incorporated into the education of ICU nurses. Perception of patient safety should be enhanced to improve patients safety nursing activity.

중환자실 간호사의 비판적 사고성향, 고위험약물 투약오류 위험수준 및 투약안전역량 (Critical Thinking Disposition, Medication Error Risk Level of High-alert Medication and Medication Safety Competency among Intensive Care Unit Nurses)

  • 이윤희;이영진;안정아;김희준
    • 중환자간호학회지
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    • 제15권2호
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    • pp.1-13
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    • 2022
  • Purpose : The study aimed to identify relationship among intensive care unit (ICU) nurses' critical thinking disposition, medication error risk level of high-alert medication, and medication safety competency, as well as the factors affecting medication safety competency. Methods : The participants were 266 ICU nurses of one higher-tier general hospital and one general hospital in Province. The data were collected using structured self-administered questionnaire from August 10 to August 31, 2021. Measurements included the critical thinking disposition questionnaire, nurses's knowledge of high-alert medication questionnaire, the medication safety competency scale. Data were analyzed using hierarchical multiple regressions using SPSS/WIN 28.0. Results : In the multiple regression analysis, the medication safety competence has a statistically significant correlation with the working department, the critical thinking disposition, and medication error risk level of high-alert medication. Conclusion : Based on the results of this study, it is suggested to develop and apply an educational strategy that can strengthen the knowledge and skills of critical thinking disposition and medication error risk level of high-alert medication to improve the ICU nurse's medication safety competency.

2011년 겨울철 서울시 대기 집중 관측 기간 동안 다파장 복사계로 분석된 에어러솔 연직분포와 시정 거리 (Visibility Estimated from the Multi-wavelength Sunphotometer during the Winter 2011 Intensive Observation Period at Seoul, Korea)

  • 이권호;김경원;김관철;정권;이순희
    • 한국대기환경학회지
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    • 제29권5호
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    • pp.682-691
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    • 2013
  • The aerosol extinction vertical profile and surface visibility have been derived from the Microtops-II sunphotometer observation during the winter 2011 intensive observation period (IOP) at Seoul, Korea. Using models of degradation of aerosol optical thickness (AOT) and aerosol scale height, we have performed extinction-visibility modulation to determine the height dependent aerosol extinction and visibility. It is shown that the aerosol loading is relatively low during IOP (mean $AOT_{550}=0.22{\pm}0.08$, ${\AA}$ngstr$\ddot{o}$m exponent=$1.14{\pm}0.26$). Modeled extinction by use of Microtops II sunphotometer data shows good agreement with measurements by the Multi-wavelenth Polarization Lidar (MPoLAR), and the derived surface visibility are consistent with data from the transmissometer. These results emphasize the use of a vertically resolved extinction from AOT to predict visibility conditions at ground level.

Understanding the Current State of Deep Learning Application to Water-related Disaster Management in Developing Countries

  • Yusuff, Kareem Kola;Shiksa, Bastola;Park, Kidoo;Jung, Younghun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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    • pp.145-145
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    • 2022
  • Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

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중환자실 환자의 물리적 억제대 적용 여부에 따른 신체손상, 정서반응, 우발적 치료기구 자가 제거 발생 비교 (Comparison of Physical Injury, Emotional Response and Unplanned Self-Removal of Medical Devices According to Use of Physical Restraint in Intensive Care Unit Patients)

  • 이미미;김금순
    • 임상간호연구
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    • 제18권2호
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    • pp.296-306
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    • 2012
  • Purpose: This study was done to compare the physical injury, emotional response and unplanned self-removal of medical devices in patients with physical restraints and patients not restrained. Methods: Eighty patients admitted to the intensive care unit (ICU) of a university hospital in Seoul participated in this study. Forty patients made up each group and the group not restrained was matched with the restraint group for age and history of smoking and alcohol consumption. Data on occurrence of physical injury, intensity of anxiety, stage of agitation and unplanned self-removal of medical devices were collected by observation and medical chart review using a structured instrument. Statistical processing of collected data was done with the SPSS WIN 17.0 program. Results: The physically restrained group experienced more physical injuries and recorded significantly higher levels of anxiety and agitation than the unrestrained group. However, there were no significant differences between the groups in occurrence of unplanned self-removal of medical devices. Conclusion: Results indicate a need for critical care nurses to carefully monitor physical injuries and emotional responses of physically restrained patients and to develop nursing interventions to prevent adverse effects associated with restraint use. There is also a need to develop patient safety guidelines when using physical restraints.

섬망이 중환자실 환자결과에 미치는 영향: 경로 분석 (Path Analysis for Delirium on Patient Prognosis in Intensive Care Units)

  • 이선희;이선미
    • 대한간호학회지
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    • 제49권6호
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    • pp.724-735
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    • 2019
  • Purpose: This study was conducted to investigate relationship between delirium, risk factors on delirium, and patient prognosis based on Donabedian's structure-process-outcome model. Methods: This study utilized a path analysis design. We extracted data from the electronic medical records containing delirium screening data. Each five hundred data in a delirium and a non-delirium group were randomly selected from electronic medical records of medical and surgical intensive care patients. Data were analyzed using SPSS 20 and AMOS 24. Results: In the final model, admission via emergency department (Β=.06, p=.019), age over 65 years (Β=.11, p=.001), unconsciousness (Β=.18, p=.001), dependent activities (Β=.12, p=.001), abnormal vital signs (Β=.12, p=.001), pressure ulcer risk (Β=.12, p=.001), enteral nutrition (Β=.12, p=.001), and use of restraint (Β=.30, p=.001) directly affecting delirium accounted for 56.0% of delirium cases. Delirium had a direct effect on hospital mortality (Β=.06, p=.038), hospital length of stay (Β=5.06, p=.010), and discharge to another facility (not home) (Β=.12, p=.001), also risk factors on delirium indirectly affected patient prognosis through delirium. Conclusion: The use of interventions to reduce delirium may improve patient prognosis. To improve the dependency activities and risk of pressure ulcers that directly affect delirium, early ambulation is encouraged, and treatment and nursing interventions to remove the ventilator and drainage tube quickly must be provided to minimize the application of restraint. Further, delirium can be prevented and patient prognosis improved through continuous intervention to stimulate cognitive awareness and monitoring of the onset of delirium. This study also discussed the effects of delirium intervention on the prognosis of patients with delirium and future research in this area.

Enhanced Regular Expression as a DGL for Generation of Synthetic Big Data

  • Kai, Cheng;Keisuke, Abe
    • Journal of Information Processing Systems
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    • 제19권1호
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    • pp.1-16
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    • 2023
  • Synthetic data generation is generally used in performance evaluation and function tests in data-intensive applications, as well as in various areas of data analytics, such as privacy-preserving data publishing (PPDP) and statistical disclosure limit/control. A significant amount of research has been conducted on tools and languages for data generation. However, existing tools and languages have been developed for specific purposes and are unsuitable for other domains. In this article, we propose a regular expression-based data generation language (DGL) for flexible big data generation. To achieve a general-purpose and powerful DGL, we enhanced the standard regular expressions to support the data domain, type/format inference, sequence and random generation, probability distributions, and resource reference. To efficiently implement the proposed language, we propose caching techniques for both the intermediate and database queries. We evaluated the proposed improvement experimentally.

시맨틱 웹과 웹 서비스 기반의 비즈니스운영체계 아키텍처 (A Business Operating System Architecture based on Semantic Web and Web Service)

  • 최미영;방찬석;권정민;최인준
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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    • pp.429-435
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    • 2005
  • True process collaboration can be accomplished through seamless integration of business processes and enterprise knowledge. Therefore, it is natural that the concept of Business Operating System (BOS), proposed by Delphi Group in 1994, is currently considered as a next evolutionary step for Business Process Management System (BPMS). Literature reports very little work, however, especially, on a comprehensive architecture of the system. This paper proposes an architecture of BOS with the following definition: ' BOS is an intelligent activity supporting system that provides a comprehensive and personalized work environment to each knowledge-intensive worker. ' To propose an architecture of BOS, the paper first identifies and classifies functional requirements for Business Operating System. Then, it proposes a data model and an architecture of the system to satisfy the functional requirements. The proposed architecture focuses on two essential technical requirements. First, the system should provide an effective means to integrate data and processes and to standardize distributed component systems. Secondly, the system should also be intelligent enough to assist workers to perform their knowledge-intensive work. The paper shows how these requirements can be achieved by using Semantic Web and Web Service.

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간호정보제공이 집중치료실 환자의 환경적 스트레스, 불안 및 안위에 미치는 영향 (Effect of Nursing Information on ICU Patient's Environmental Stress, Anxiety and Comfort)

  • 윤진영;이규은
    • Journal of Korean Biological Nursing Science
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    • 제13권2호
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    • pp.109-116
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    • 2011
  • Purpose: The purpose of this study was to exam the effects of nursing information about intensive care unit environment on ICU patient's environmental stress, anxiety and comfort. Methods: A non-equivalent control group with non-synchronized quasi-experimental research design was used. Participants were 60 (control 30, experimental 30) patients who admitted at ICU in one hospital in Gangneung. Experimental group was provided with nursing information about intensive care unit environment. To avoid contamination of the experiment, data for the control group were collected prior to the experimental group. Paired t-test, t-test, chi-square test were used to analyze the data using the SPSS WIN 19.0 Program. Results: ICU environmental stress (t=-.089, p=.045) and anxiety (t=-5.65, p<.001) were significantly more reduced than before intervention. Also, comfort (t=-2.98, p=.036) was significantly more improved than before intervention. Conclusion: It confirmed that nursing information on ICU environment is effective in reducing environmental stress, anxiety and improving comfort in ICU patients.