• 제목/요약/키워드: Long-term Management Objective

검색결과 176건 처리시간 0.024초

Pulsed Radiofrequency Neuromodulation for Post-Stroke Shoulder Pain in Patients with Hemorrhagic Stroke

  • Doyoung Na;Mu Seung Park;Hyuk Jai Choi;Jinseo Yang;Yong-Jun Cho;Jin Pyeong Jeon
    • Journal of Korean Neurosurgical Society
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    • 제67권5호
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    • pp.568-577
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    • 2024
  • Objective : Post-stroke shoulder pain (PSSP) is a common complication that limits the range of motion (ROM) of the shoulder, the patient's rehabilitation and in turn, affects the patients' quality of life (QoL). Several treatment modalities such as sling, positioning, strapping, functional electrical stimulation, and nerve block have been suggested in literatures, however none of the treatments had long-term effects for PSSP. In this study, the authors evaluated clinical efficacy of pulsed radiofrequency (PRF) neuromodulation on the suprascapular nerve for PSSP, and suggested it as a potential treatment with long-term effect. Methods : This retrospective case series was conducted at a single center, a private practice institution. From 2013 to 2021, 13 patients with PSSP underwent PRF neuromodulation of the suprascapular nerve. The primary outcome measure was the Visual analog scale (VAS) score. The secondary outcome measurements included the shoulder ROM, Disability assessment scale (DAS), modified Ashworth scale, modified Rankin scale (mRS), and EuroQol-5 dimension-3L questionnaire (EQ-5D-3L) scores. These parameters were evaluated before PRF modulation, immediately after PRF modulation, and every 3 months until the final follow-up visit. Results : Six men and seven women were enrolled, and all patients were followed-up for a minimum of 12 months. The mean VAS score was 7.07 points before PRF neuromodulation and 2.38 points immediately post-procedure. Shoulder ROM for abduction and flexion, DAS for pain, mRS, and EQ-5D-3L demonstrated marked improvement. No complications were reported. Conclusion : PRF neuromodulation of the suprascapular nerve is an effective modality in patients with PSSP, and has long-term effect of pain relief, improvement of QoL.

Optimal Bronchodilation for COPD Patients: Are All Long-Acting β2-Agonist/Long-Acting Muscarinic Antagonists the Same?

  • Miravitlles, Marc;Baek, Seungjae;Vithlani, Vatsal;Lad, Rahul
    • Tuberculosis and Respiratory Diseases
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    • 제81권3호
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    • pp.198-215
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    • 2018
  • Bronchodilators provide improvements in lung function and reductions in symptoms and exacerbations, and are the mainstay of pharmacological management of chronic obstructive pulmonary disease (COPD). The Global Initiative for Chronic Obstructive Lung Disease strategy recommends the use of a combination of long-acting ${\beta}_2-agonist$/long-acting muscarinic antagonists (LABA/LAMA) as the first-line treatment option in the majority of symptomatic patients with COPD. This review provides an indirect comparison of available LABA/LAMA fixed-dose combinations (FDCs) through discussion of important efficacy and safety data from the key literature, with the objective of providing physicians with a framework for informed decision-making. LABA/LAMA FDCs provided greater benefits compared with placebo and similar or greater benefits compared with tiotropium and salmeterol/fluticasone in improving lung function, dyspnea, health-related quality of life, reducing rescue medication use and preventing exacerbations, although with some variability in efficacy between individual FDCs; further, tolerability profiles were comparable among LABA/LAMA FDCs. However, there is a disparity in the amount of evidence generated for different LABA/LAMA FDCs. Thus, this review shows that all LABA/LAMA FDCs may not be the same and that care should be taken when extrapolating individual treatment outcomes to the entire drug class. It is important that physicians consider the efficacy gradient that exists among LABA/LAMA FDCs, and factors such as inhaler devices and potential biomarkers, when choosing the optimal bronchodilator treatment for long-term management of patients with COPD.

데이터베이스 강의 관리 자동화 시스템 (Automatic Database Lecture Management System)

  • 허태성
    • 한국컴퓨터정보학회논문지
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    • 제19권12호
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    • pp.267-274
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    • 2014
  • 컴퓨터를 활용한 강의 지원시스템은 오래전부터 개발되어 사용되고 있으나, 완벽한 강의지원이란 쉬운 일이 아니다. 따라서 본 시스템은 대학 강의에 적합한 온라인 강의지원 관리 시스템을 개발하는데 그 목적이 있다. 본 개발 시스템은 대학에서의 데이터베이스과목 관리에 목표를 두고 주로 시험과 채점관리에 초점을 맞추어 개발되었다. 강의관리를 위한 출석관리, 리포트관리, 퀴즈와 같은 수시시험관리 및 정규(중간, 기말)고사의 실시 및 채점을 주목적으로 하였다. 시험의 경우 객관식, 주관식, 단답식 그리고 SQL로 나누어 개발되었다. 특히 SQL의 경우 구분분석을 통해 채점할 수 있는 시스템을 개발함으로서 보다 효과적인 채점관리에 주력하였다. 주관식 및 단답형의 경우는 수작업을 통한 채점방식을 사용하였으며, 이 모든 과정을 학생 스스로 확인할 수 있도록 하여 채점과 관련한 문제를 해소하도록 하였다.

청소년의 디지털 고객 경험에 관한 연구 (A Study on the Digital Customer Experience of Youths)

  • 손진희;이정재
    • 한국IT서비스학회지
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    • 제22권5호
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    • pp.1-16
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    • 2023
  • This study aimed to provide fundamental insights into the digital customer experience by identifying its components and analyzing their importance and satisfaction levels among youths. To achieve this objective, the components of digital customer experience were identified through a review of prior research and consultation with experts. Subsequently, a survey was conducted with 200 youths in Seoul and Gyeonggi-do. The main findings of the study are as follows: First, The components of the digital customer experience consisted of 12 items grouped into three categories. Second, an analysis of the disparity between the importance and satisfaction levels of digital customer experience revealed statistically significant differences across all items. Third, By utilizing IPA (Importance-Performance Analysis), the digital customer experience was categorized into four quadrant, each with its own characteristics and recommendations for management: The first quadrant, the "current level maintenance area," encompassed items related to "entertainment" and "recommended service." This area is currently functioning well but necessitates continuous attention and management. The second quadrant, the "area to be supported first," included items such as "personalization," "security," "inducing participation," "privacy," and "individuality expression." Intensive management and improvements are imperative in this quadrant. The third quadrant, the "long-term improvement area," consisted of items like 'consistency,' 'information quality,' and 'convenience.' These items require focus on long-term enhancement efforts. The fourth quadrant, the "areas where efforts have already been invested," encompassed items like 'accessibility' and 'deliberation.' It appears that excessive investment has been made in these areas relative to their importance, calling for selective investments while considering the specific issues associated with each factor. These research findings serve as essential data for managing the digital customer experiences of youths.

THREE-STAGED RISK EVALUATION MODEL FOR BIDDING ON INTERNATIONAL CONSTRUCTION PROJECTS

  • Wooyong Jung;Seung Heon Han
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.534-541
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    • 2011
  • Risk evaluation approaches for bidding on international construction projects are typically partitioned into three stages: country selection, project classification, and bid-cost evaluation. However, previous studies are frequently under attack in that they have several crucial limitations: 1) a dearth of studies about country selection risk tailored for the overseas construction market at a corporate level; 2) no consideration of uncertainties for input variable per se; 3) less probabilistic approaches in estimating a range of cost variance; and 4) less inclusion of covariance impacts. This study thus suggests a three-staged risk evaluation model to resolve these inherent problems. In the first stage, a country portfolio model that maximizes the expected construction market growth rate and profit rate while decreasing market uncertainty is formulated using multi-objective genetic analysis. Following this, probabilistic approaches for screening bad projects are suggested through applying various data mining methods such as discriminant logistic regression, neural network, C5.0, and support vector machine. For the last stage, the cost overrun prediction model is simulated for determining a reasonable bid cost, while considering non-parametric distribution, effects of systematic risks, and the firm's specific capability accrued in a given country. Through the three consecutive models, this study verifies that international construction risk can be allocated, reduced, and projected to some degree, thereby contributing to sustaining stable profits and revenues in both the short-term and the long-term perspective.

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가압경수로 원전 안전 1등급 배관의 노화영향 관리 (Aging Effect Management for Class 1 Piping of PWR)

  • 장윤석;진태은;송택호;정일석
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집A
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    • pp.316-321
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    • 2001
  • A previous feasibility study for the Korean lead plant, PLiM Phase I, showed a strong possibility of continued operation beyond the original licensed period. In 1998, PLiM Phase II study was initiated aimed at performing additional detailed evaluations on a wider range of components. The objective of this paper is to present the Korean PLiM efforts for Class 1 piping which is identified as one of the critical components with regard to long-term operation. The key findings such as typical design features, degradation mechanisms, technical issues, draft results from the lifetime evaluation for Class 1 piping of the lead plant are briefly described.

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비대칭적 관계구조 하에서 C-Commerce 활용수준의 결정요인 (Determinants of C-Commerce Utilization in Asymmetric Relationship between Buyers and Suppliers)

  • 최영진;장시영
    • 경영과학
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    • 제21권2호
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    • pp.215-234
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    • 2004
  • With enormous changes in market condition, firms try to collaborate with their transaction partners. Recently, the diffusion of the Internet has made it possible for firms to directly collaborate with their partners. Accordingly, the importance of the Collaborative Commerce( C-Commerce) based on the Internet and IT has been emphasized. The literature in relational marketing and strategic alliance, however, has focused on the relational characteristics among firms. Therefore, the fundamental objective of this study is to investigate whether C-Commerce can enhance the positive relationships among firms. Based on theoretical and empirical research, some meaningful discussions can be made. First. the asymmetric commitment between buyers and suppliers decreases the C-Commerce utilization. Second, when specific investment is made to facilitate transactions, firms try to trade efficiently and depend on partners in a long-term period.

크로스도킹 시스템의 최적 운영 전략 (Optimal Operational Strategy for Cross Docking Systems)

  • 유우연;조지운;양재경
    • 대한안전경영과학회지
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    • 제8권3호
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    • pp.103-114
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    • 2006
  • A cross docking operation involves multiple trucks (known as inbound trucks) that deliver items from suppliers to a distribution center and multiple trucks (known as outbound trucks) that ship items from the distribution center to customers. Based on customer demands, an inbound truck may have its items transferred to multiple outbound trucks. Similarly, an outbound truck can receive its consignments from multiple inbound trucks. A unique characteristic of a cross docking system is the absence or prohibition of long term storage of items at the distribution center. Items delivered to the distribution center from suppliers are shipped to customers as soon as possible without being placed in storage in the distribution center. The objective of this paper is to develop the optimal operational strategy for finding the best truck docking sequence for both inbound and outbound trucks in order to minimize total operation time where a temporary storage area is not available in a cross docking system.

What are the Risks of using Smart Technology in the Construction Phase?

  • Lee, Baul;Park, Seung-Kook
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.103-110
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    • 2022
  • In the era of the 4th Industrial Revolution, smart technology being considered to improve productivity breakthroughs is in the spotlight as a means to replace traditional construction technology in the construction industry. However, various problems are occurring in construction sites using smart technology and causing negative impacts on construction projects. Therefore, the objective of this study is to identify risk factors that occur when smart technologies are used in construction projects. To achieve this purpose, this study investigated the difficulties at construction projects using smart technology, and risk factors were derived based on site surveys and literature. The risk factors were measured by experts, and then a total of 19 risk factors was derived by exploratory factor analysis. As a result, risks were classified as 5 factors, the institutional factor is the most difficult response, and the government needs anticipative system improvement and a long-term plan. The research findings provide practical implications for construction experts trying to apply smart technology in construction sites and construction policy-makers to revitalize smart technology.

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Effects of Bank Macroeconomic Indicators on the Stability of the Financial System in Indonesia

  • VIPHINDRARTIN, Sebastiana;ARDHANARI, Margaretha;WILANTARI, Regina Niken;SOMAJI, Rafael Purtomo;ARIANTI, Selvi
    • The Journal of Asian Finance, Economics and Business
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    • 제8권1호
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    • pp.647-654
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    • 2021
  • This study examines the non-performing loans of rural banks and macroeconomic factors in Indonesia, including inflation, exchange rates, and interest rates. Theoretically, the existence of erratic macroeconomic conditions can affect the level of non-performing credit risk in rural credit banks in Indonesia. The effect of macroeconomic conditions on non-performing loans has a different response for each economic sector. The main objective of this study is to determine the effect of macroeconomic factors (inflation, exchange rates, and interest rates) and bank-specific factors (credit) on the Non-Performing Loans (NPL) of Rural Banks in Indonesia for the period from January 2015 to December 2018. This study uses a Vector Error Correction Model (VECM) estimation to determine the effect of independent variables consisting of macroeconomic factors and bank-specific factors. Based on the estimation results of the Vector Error Correction Model, three variables that have a positive and significant effect on long-term non-performing loans are credit, inflation, and interest rates. Meanwhile, in the short term, there are only two variables that have a positive and significant effect on non-performing loans, namely, credit and interest rates. Inflation and exchange rate variables have a negative and insignificant effect on bad credit in the short term.