• 제목/요약/키워드: Long-term issue

검색결과 438건 처리시간 0.023초

장기요양보호 정책에서 물리치료사의 역할 (A Role of Physical Therapist for Long-Term Care Policy)

  • 박돈목;서연순
    • 대한물리치료과학회지
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    • 제7권2호
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    • pp.397-405
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    • 2000
  • Recently, the problem of the elderly has become national and social issue throughout the world. And the ratio of elderly increase is expected to get accelerated more and more year after year. But the long-term care policy for the elderly in korea has not developed systematically yet. Therefore, in this study aims at searching the method for developing the long-term care policy of korea and the role of physical therapist for long-term care.

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한국·일본·독일의 공적 장기요양보험제도 재정부담 완화 과정 비교 (A Study on the Mitigation Methods of Financial Burden in Public Long-term Care Insurance System: Comparison of South Korea, Japan, and Germany)

  • 윤나영;이동현
    • 보건행정학회지
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    • 제32권3호
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    • pp.258-271
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    • 2022
  • The rapidly aging trend of Korea is a major factor that threatens the sustainability of the long-term care insurance system. Therefore, looking at how Japan and Germany mitigated the financial burden when they managed similar long-term care insurance systems will provide important implications for improving the Korean system in the future. The study was conducted using the literature review method, and the "country" was set as a unit for the case analysis. The three countries selected are Korea, Japan, and Germany. Recently in Korea, the insurance premium rates of all subjects have been rapidly rising, which can exacerbate the issue of intergenerational equity. On the other hand, Japan has responded to the aggravating finances for long-term care insurance due to aging by raising coinsurance for selected groups like the wealthy elderly. Germany is selectively raising the insurance premium rates by additionally increasing the premium rate for childless recipients. A more preventive and quality-oriented care service plan can be promoted by referring to the recent changes in Japan and Germany. In addition, a more effective and selective increase in payment burden in Japan and Germany could be considered in response to a recent equity issue in Korea.

시트 착좌감 정량화 평가법 개발 롱텀 컴포트 (Quantification of Seat Comfort Feeling Long-term Comfort)

  • 박현규;김영식;이재원
    • 한국자동차공학회논문집
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    • 제22권5호
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    • pp.1-4
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    • 2014
  • In recent years, requests for automotive seat comfort are increasing. An important issue of them is long-term seat comfort. Until now, the study for long-term seat comfort has been studied mainly using driver's questionnaire, changing adrenalin and electromyography. Actually the results and methodologies of them are difficult to apply to seat development and design because of money and time required. In this study, we developed Seating Feel Curve for seat comfort evaluation and a long-term seat comfort evaluation which can be applied to the development of seat comfort using seat support.

Error Analysis of Measure-Correlate-Predict Methods for Long-Term Correction of Wind Data

  • ;김현구;서현수
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 추계학술대회 논문집
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    • pp.278-281
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    • 2008
  • In these days the installation of wind turbines or wind parks includes a high financial risk. So for the planning and the constructing of wind farms, long-term data of wind speed and wind direction is required. However, in most cases only few data are available at the designated places. Traditional Measure-Correlate-Predict (MCP) can extend this data by using data of nearby meteorological stations. But also Neural Networks can create such long-term predictions. The key issue of this paper is to demonstrate the possibility and the quality of predictions using Neural Networks. Thereto this paper compares the results of different MCP Models and Neural Networks for creating long-term data with various indexes.

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Pediatric heart transplantation: how to manage problems affecting long-term outcomes?

  • Kim, Young Hwue
    • Clinical and Experimental Pediatrics
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    • 제64권2호
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    • pp.49-59
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    • 2021
  • Since the initial International Society of Heart Lung Transplantation registry was published in 1982, the number of pediatric heart transplantations has increased markedly, reaching a steady state of 500-550 transplantation annually and occupying up to 10% of total heart transplantations. Heart transplantation is considered an established therapeutic option for patients with end-stage heart disease. The long-term outcomes of pediatric heart transplantations were comparable to those of adults. Issues affecting long-term outcomes include acute cellular rejection, antibody-mediated rejection, cardiac allograft vasculopathy, infection, prolonged renal dysfunction, and malignancies such as posttransplant lymphoproliferative disorder. This article focuses on medical issues before pediatric heart transplantation, according to the Korean Network of Organ Sharing registry and as well as major problems such as graft rejection and cardiac allograft vasculopathy. To reduce graft failure rate and improve long-term outcomes, meticulous monitoring for rejection and medication compliance are also important, especially in adolescents.

두 가지 부품으로 구성된 조립시스템에서 부품 아웃소싱 계약에 대한 고찰 (Component Outsourcing Contracts in a Two-Component Assembly System)

  • 김은갑
    • 산업공학
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    • 제22권2호
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    • pp.165-173
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    • 2009
  • This paper considers a two-component assembly system that makes different types of purchasing contracts by component type and studies the issue of coordinating those contracts. Acquisition of type 1 component is based on the long-term contract. In contrast, type 2 component is intermittently purchased under the sort-term contract. We identify the structural properties of the optimal short-term contract and investigate how the changes in system parameters affect the optimal performance. To provide managerial insights, we compare the short-term and long-term contracts for type 2 component and discuss the conditions that make the short-term contract preferable to the long-term contract. We also present a result which shows that coordinating the contracts of type 1 and type 2 components can be significantly profitable over uncoordinating them.

Influencing factors on Moral Distress in Long-term Care Hospital and Facility Nurses

  • Kim, Hyun Sook;Yu, Sujeong;Lim, Kyung Choon
    • 한국컴퓨터정보학회논문지
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    • 제24권5호
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    • pp.121-130
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    • 2019
  • The purpose of this study was to explore the level of the moral distress for nurses working in long-term care hospitals or nursing homes, and identify factors that influence the moral distress. Data were collected through self-reported questionnaires including the Korean version of Moral Distress Scale-Revised (KMDS-R), Jefferson Empathy Scale for Health professionals (K-JSE-HP), Moral Sensitivity Questionnaire (K-MSQ), and the Hospital Ethical Climate Survey (HECS). A total of 194 nurses from 11 long-term care hospitals or 27 nursing homes completed the structured questionnaires. Data were analyzed using IBM SPSS Statistics version 25. As results, the mean score for moral distress was $73.81{\pm}51.29$ in this study. The moral distress of nurses working at nursing homes was higher than that of nurses working in long-term care hospitals. Among the sub-factors of moral distress, the 'futile care' was the highest score and the 'limit to claim the ethical issue' was the lowest. The main factor affecting moral distress among nurses in this study was the ethical climate of organization. In this paper, we propose that in order to effectively reduce the moral distress of nurses working in a long-term care hospital or a nursing home, it is more impactful to address structural issues related to the caregiver workplace than to adjust individual factors.

장기간 양성자펌프억제제의 사용과 위암 (Long Term Proton Pump Inhibitor Use and Gastric Cancer)

  • 서승인
    • Journal of Digestive Cancer Research
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    • 제10권1호
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    • pp.9-15
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    • 2022
  • Proton pump inhibitors (PPIs), a potent gastric acid inhibitor, are widely used in gastric acid-related diseases such as gastroesophageal reflux disease and peptic ulcer, and are known as the most frequently used drugs worldwide. However, as the frequency of use increases, the number of cases of long-term PPI therapy without clear indications is increasing. Recently, there have been concerns about the risk of gastric cancer in patients with long-term PPI users. Potential mechanisms for the association between PPI and gastric cancer include enterochromaffin-like cell proliferation due to hypergastrinemia caused by gastric acid suppression, progression of atrophic gastritis, and corpus-predominant type through interaction with Helicobacter pylori (H. pylori) infection. Several epidemiologic studies showed controversial results on the issue, and it is difficult to prove a causal relationship between PPI and gastric cancer. Nevertheless, long-term PPI should be administered cautiously based on individual risk-benefit profile, specifically among those with history of H. pylori infection, in high-risk region of gastric cancer.

시공하중에 의한 플랫 플레이트의 장기처짐 계측 및 해석 (Measurement and Prediction of Long-term Deflection of Flat Plate Affected by Construction Load)

  • 황현종;박홍근;홍건호;김재요;김용남
    • 콘크리트학회논문집
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    • 제26권5호
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    • pp.615-625
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    • 2014
  • 고층 건물에서 많이 사용되는 장스팬 플랫 플레이트에서 과도한 시공 하중의 작용과 그에 따른 슬래브의 장기 처짐은 콘크리트 슬래브 디자인에 큰 영향을 미칠 수 있다. 본 연구에서는 플랫 플레이트의 장기처짐에서 슬래브의 조기 균열을 유발하는 시공하중의 영향을 이론적으로 연구하였다. 연구 결과를 바탕으로 플랫 플레이트의 장기처짐 산정법을 개발하였다. 제안한 방법에서는 슬래브 균열에 의한 즉시처짐 증가와 크리프 및 건조수축 효과에 의한 장기처짐 증가를 고려한다. 시공하중의 영향을 평가하기 위하여 실제 시공중인 플랫플레이트 건물에서 시공단계부터 슬래브의 장기처짐을 계측하였다. 계측결과, 시공하중에 의한 조기재령 슬래브의 즉시처짐은 플랫 플레이트의 장기처짐을 크게 증가시켰다. 슬래브 장기처짐 제안법은 계측된 슬래브의 장기처짐과 비교하여 검증하였으며, 제안모델은 시공하중에 의한 플랫 플레이트의 장기처짐을 비교적 잘 예측하는 것으로 나타났다.

Deep learning-based sensor fault detection using S-Long Short Term Memory Networks

  • Li, Lili;Liu, Gang;Zhang, Liangliang;Li, Qing
    • Structural Monitoring and Maintenance
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    • 제5권1호
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    • pp.51-65
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    • 2018
  • A number of sensing techniques have been implemented for detecting defects in civil infrastructures instead of onsite human inspections in structural health monitoring. However, the issue of faults in sensors has not received much attention. This issue may lead to incorrect interpretation of data and false alarms. To overcome these challenges, this article presents a deep learning-based method with a new architecture of Stateful Long Short Term Memory Neural Networks (S-LSTM NN) for detecting sensor fault without going into details of the fault features. As LSTMs are capable of learning data features automatically, and the proposed method works without an accurate mathematical model. The detection of four types of sensor faults are studied in this paper. Non-stationary acceleration responses of a three-span continuous bridge when under operational conditions are studied. A deep network model is applied to the measured bridge data with estimation to detect the sensor fault. Another set of sensor output data is used to supervise the network parameters and backpropagation algorithm to fine tune the parameters to establish a deep self-coding network model. The response residuals between the true value and the predicted value of the deep S-LSTM network was statistically analyzed to determine the fault threshold of sensor. Experimental study with a cable-stayed bridge further indicated that the proposed method is robust in the detection of the sensor fault.