• Title/Summary/Keyword: Period of support

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Correlates of Social Support, Family Function, and Conditions of Home Care Nursing in Family Caregivers (가정간호대상자 가족의 사회적 지지와 가족기능, 가정간호 특성 간의 관계)

  • Seo, Jun-Young;Kim, Gwang-Suk;Lee, Hyeon-Kyeong;Kim, Hae-Young;Shin, Hye-Sun;Park, Jong-Mi
    • Journal of Home Health Care Nursing
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    • v.19 no.1
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    • pp.63-73
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    • 2012
  • Purpose: The purpose of this study was to determine the factors related to the social support, family and friend support as well as home care nurse support, in family caregivers of patients with home care service. Method: The participants were 111 family caregivers of patient, who were receiving home care services from home health care centers of 3 different general hospitals located in Seoul. The data was collected, using self-administered questionnaires. Result: The level of family and friend support varied significantly according to patients' mental status, period of home care nursing, frequency of home care service, caregiver's education level, family income, and family functioning level. On the other hand, home care nurse support varied significantly according to patients' mental status, caregiver's age, existence of interchangeable family caregivers, and family functioning level. There was a significantly positive correlation between the social support the family caregivers' perceived and family function while there was a negative correlation between family and friend support and the period of home care service. Conclusion: Thus, the establishment of nursing interventional program, with understanding of their social support, is needed for both patients and their caregivers.

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What's the Disaster Recovery? Types and Preimpact Plan of Recovery (재난복구의 유형과 사전 계획에 대한 이론적 고찰: 미국의 재난복구를 중심으로)

  • Lee, Jae-Eun
    • The Journal of the Korea Contents Association
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    • v.11 no.10
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    • pp.267-273
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    • 2011
  • The purpose of this paper is to suggest the types of recovery activities and the major contents of preimpact recovery plan through theoretical review. Disaster recovery is to provide immediate support during the early recovery period necessary to return vital life support systems to minimum operation levels, and continuing to provide support until the community returns to normal. Disaster researchers distinguished 4 types in recovering from disaster as follows; an emergency period, a restoration period, a reconstruction period, and a developmental reconstruction period. And recovery measures are both short-term and long-term. Short-term measures are relief and rehabilitation and long-term measures include reconstruction. Finally, to design a preimpact recovery plan, we should define a disaster recovery organization that includes major stakeholders, identify the location of temporary housing, determine how to perform essential tasks, address the licensing and monitoring of contractors and retail price controls to ensure victims are not exploited, determine how recovery tasks will be carried out at historical sites, and recognize the recovery period as a unique time to enact policies for hazard mitigation and incorporate this objecive into the recovery planning process.

Real-time seismic structural response prediction system based on support vector machine

  • Lin, Kuang Yi;Lin, Tzu Kang;Lin, Yo
    • Earthquakes and Structures
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    • v.18 no.2
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    • pp.163-170
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    • 2020
  • Floor acceleration plays a major role in the seismic design of nonstructural components and equipment supported by structures. Large floor acceleration may cause structural damage to or even collapse of buildings. For precision instruments in high-tech factories, even small floor accelerations can cause considerable damage in this study. Six P-wave parameters, namely the peak measurement of acceleration, peak measurement of velocity, peak measurement of displacement, effective predominant period, integral of squared velocity, and cumulative absolute velocity, were estimated from the first 3 s of a vertical ground acceleration time history. Subsequently, a new predictive algorithm was developed, which utilizes the aforementioned parameters with the floor height and fundamental period of the structure as the new inputs of a support vector regression model. Representative earthquakes, which were recorded by the Structure Strong Earthquake Monitoring System of the Central Weather Bureau in Taiwan from 1992 to 2016, were used to construct the support vector regression model for predicting the peak floor acceleration (PFA) of each floor. The results indicated that the accuracy of the predicted PFA, which was defined as a PFA within a one-level difference from the measured PFA on Taiwan's seismic intensity scale, was 96.96%. The proposed system can be integrated into the existing earthquake early warning system to provide complete protection to life and the economy.

The Relationship between Family Support and Activities of Daily Living Abilities for the Hemiplegic Patients(after stroke) (뇌졸중 후 편마비 환자의 가족지지와 일상생활동작 수행과의 관계분석)

  • Kang, Bok-Hee
    • The Korean Journal of Rehabilitation Nursing
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    • v.3 no.1
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    • pp.5-14
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    • 2000
  • Stroke patients have increased with the overall aging of our population, 60 years and older. Recently the number of stroke patients has been on the increase even among younger people in their thirties. The family support is frequently mentioned as a major variable which plays an important role in helping the patients adapt themselves to their hemiplegic situations. The purpose of the study was to examine between family support and activities of daily living(ADLs)abilities for the hemiplegic patients, and to provide the basic data to help the patients carry out their ADLs on their own. The sample for the study included 106 hemiplegic patients and their family members. The data were collected using a focused, structured interviews. The major findings of the study were as follows: 1. The hemiplegic patients perceived that their family supports were very high(Mean, 49.00). 2. The degree of family support was significantly higher in female. high economic status, and non-use of brace patients than in male, poor economic status, use of brace patients. 3. The ADL abilities of the hemiplegic patients were significantly higher in ambulatory, younger, and longer-period-of-illness patients and patients who used a cane as a assistive device. 4. The family support for the hemiplegic patients showed a statistically significant Cor relationship with their performance of ADL(r=.30809. p=0.0013). 5. The performance of ADL for the ambulatory patients were mainly affected by the degree of family support, the period of the hemiplegic illness, the use of brace, informal care giving, and the age. These variables explained 50% of variance. 6. The length of illness was a statistically significant affecting variable for ADL performance in OPD and assistive device in IPD. In conclusion, the higher the hemiplegic patients perceived the degree of family support, the better they performed ADL. We should develop nursing methods which enhance the family support for the hemiplegic patients in order to increase their performance of ADL.

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Analysis of Healthcare Quality Indicators using Data Mining and Development of a Decision Support System (데이터마이닝을 이용한 의료의 질 측정지표 분석 및 의사결정지원시스템 개발)

  • Kim, Hye Sook;Chae, Young-Moon;Tark, Kwan-Chul;Park, Hyun-Ju;Ho, Seung-Hee
    • Quality Improvement in Health Care
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    • v.8 no.2
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    • pp.186-207
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    • 2001
  • Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

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Development of Marital Education Program for Multi-cultural Family in a Formative Period of Family Relations (가족관계 형성기의 다문화가족을 위한 부부교육 프로그램 개발)

  • Jang, Heun-Sung
    • Journal of Family Resource Management and Policy Review
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    • v.17 no.3
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    • pp.81-103
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    • 2013
  • Under the influence of globalization, South Korea has seen a sharp rise in interracial families. South Korean society faces various difficulties since it has not prepared for the stable settlement of families. Therefore, it is necessary to initiate marital education for the settlement of multi-cultural families in a healthy and democratic way. This researcher has developed a marital education program for multi-cultural families. To reflect the special characteristics, this work required the investigation of multi-cultural families in Gyeongsangbuk-do. The purpose of this work is to improve conjugal relations among multi-cultural families in a formative period of family relations to help those families to settle down early. The program consisted of four steps and 12 sessions. It featured an increase in application flexibility to an actual site by session, and includes a worksheet applicable to an actual site to understand the absence of communication and cultural differences in multi-cultural families during a formative period of family relations. In so doing, it was designed to easily perform nonverbal education. This work is expected to contribute to an improvement in conjugal relations of multi-cultural families in a formative period of family relations and help those families to settle down in a stable way.

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Experience of Clinical Adaptation among Nurses in Intensive Care Unit (중환자실 간호사의 임상 적응 경험)

  • Hong, Jin Young;Sohn, Sue Kyung
    • Journal of Korean Critical Care Nursing
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    • v.17 no.1
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    • pp.1-16
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    • 2024
  • Purpose : This study aimed to explore and describe intensive care unit (ICU) nurses' experience of clinical adaptation. Methods : The participants were 14 ICU nurses with more than two years of working experience in the ICU. Data were collected through in-depth individual interviews conducted between July and October 2021. Theoretical sampling was used to the point of theoretical saturation. Data were analyzed using the Strauss and Corbin method. Results : A total of 79 concepts, 37 subcategories, and 16 categories were identified through open coding. Axial coding based on the paradigm model revealed that the central phenomenon was "The harsh adversity faced in the nursing field where life and death are determined" and the core category was "Enduring the adversity of caring for critically ill patients and achieving self-realization." ICU nurses' clinical adaptation process was explained in five phases: "confrontation period," "turbulent period," "seeking period," "struggling period," and "stabilized period." The five phases that affect interventional conditions were "Support from reliable people," "Recognition of administrative and financial support." Conclusion : This study provided novel insights for a comprehensive understanding of ICU nurses' clinical adaptation processes. Furthermore, the findings are expected to be used as basic data to develop multifaceted strategies to help ICU nurses' adaptation to critical care.

Prediction Model on Mother-infant Attachment during the Early Postpartum Period (산욕기 어머니의 모아애착 예측모형)

  • 신현정;박영주;강현철
    • Journal of Korean Academy of Nursing
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    • v.34 no.3
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    • pp.504-514
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    • 2004
  • Purpose: The purpose of this study is to identify the influencing factors of mother-infant attachment and construct a descriptive model that explains mother-infant attachment during the early postpartum period. Method: The hypothetical model of this study consisted of 8 variables with 23 constructed paths. The subjects of this study were 152 postpartum women. Data was analyzed to test the hypothetical model using covariance structure analysis. Result: The final model which is modified from the hypothetical model improved to Chi-Square 41.92, GFI .95, AGFI .89, RMSR .02, RMSEA .06, NFI .94, and NNFI .95. Mother-infant attachment during the early postpartum period was proven to be influenced directly by neonatal perception, maternal sensitivity, and maternal-fetal attachment and also indirectly by social support, maternal-fetal attachment and maternal identity. These variables accounted for 32% of the variance of the mother-infant attachment during the early postpartum period. Conclusion: It is necessary that the nurses provide postpartum women with an intervention using social support for improving maternal identity and alleviating maternal role strain. It can be helpful to improve maternal sensitivity and in the end it will facilitate the mother-infant attachment during postpartum period.

An Empirical Performance Analysis on Hadoop via Optimizing the Network Heartbeat Period

  • Lee, Jaehwan;Choi, June;Roh, Hongchan;Shin, Ji Sun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.11
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    • pp.5252-5268
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    • 2018
  • To support a large-scale Hadoop cluster, Hadoop heartbeat messages are designed to deliver the significant messages, including task scheduling and completion messages, via piggybacking to reduce the number of messages received by the NameNode. Although Hadoop is designed and optimized for high-throughput computing via batch processing, the real-time processing of large amounts of data in Hadoop is increasingly important. This paper evaluates Hadoop's performance and costs when the heartbeat period is controlled to support latency sensitive applications. Through an empirical study based on Hadoop 2.0 (YARN) architecture, we improve Hadoop's I/O performance as well as application performance by up to 13 percent compared to the default configuration. We offer a guideline that predicts the performance, costs and limitations of the total system by controlling the heartbeat period using simple equations. We show that Hive performance can be improved by tuning Hadoop's heartbeat periods through extensive experiments.

A Study on the Comparison of Electricity Forecasting Models: Korea and China

  • Zheng, Xueyan;Kim, Sahm
    • Communications for Statistical Applications and Methods
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    • v.22 no.6
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    • pp.675-683
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    • 2015
  • In the 21st century, we now face the serious problems of the enormous consumption of the energy resources. Depending on the power consumption increases, both China and South Korea face a reduction in available resources. This paper considers the regression models and time-series models to compare the performance of the forecasting accuracy based on Mean Absolute Percentage Error (MAPE) in order to forecast the electricity demand accurately on the short-term period (68 months) data in Northeast China and find the relationship with Korea. Among the models the support vector regression (SVR) model shows superior performance than time-series models for the short-term period data and the time-series models show similar results with the SVR model when we use long-term period data.