• Tuberculosis and Respiratory Diseases
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• 제87권1호
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• pp.91-99
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• 2024

Background: Tuberculous pleural effusion (TPE) and parapneumonic effusion (PPE) are often difficult to differentiate owing to the overlapping clinical features. Observational studies demonstrate that the ratio of lactate dehydrogenase to adenosine deaminase (LDH/ADA) is lower in TPE compared to PPE, but integrated analysis is warranted. Methods: We conducted a systematic review to evaluate the diagnostic accuracy of the LDH/ADA ratio in differentiating TPE and PPE. We explored the PubMed and Scopus databases for studies evaluating the LDH/ADA ratio in differentiating TPE and PPE. Results: From a yield of 110 studies, five were included for systematic review. The cutoff value for the LDH/ADA ratio in TPE ranged from <14.2 to <25. The studies demonstrated high heterogeneity, precluding meta-analysis. Quality Assessment of Diagnostic Accuracy Studies Tool 2 assessment revealed a high risk of bias in terms of patient selection and index test. Conclusion: LDH/ADA ratio is a potentially useful parameter to differentiate between TPE and PPE. Based on the limited data, we recommend an LDH/ADA ratio cutoff value of <15 in differentiating TPE and PPE. However, more rigorous studies are needed to further validate this recommendation.

• Journal of Yeungnam Medical Science
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• 제41권4호
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• pp.235-251
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• 2024

Lung transplantation is an elective treatment option for end-stage respiratory diseases in which all medical therapy options have been exhausted. The current study aimed to identify updated information on the postoperative conditions that may impair rehabilitation after lung transplantation and to provide specific considerations of their clinical relevance during the recovery process. The present study is a systematic review conducted by searching three primary databases: the United States National Library of Medicine PubMed system, Scopus, and the Cochrane Library. The databases were searched for articles published from database inception until May 2024; at the end of the selection process, 27 documents were included in the final analysis. The retrieved material identified 19 conditions of rehabilitative interest that potentially affect the postoperative course: graft dysfunction, dysphagia, postsurgical pain, cognitive impairment, chronic lung allograft dysfunction-bronchiolitis obliterans syndrome, phrenic nerve injury, delayed extracorporeal membrane oxygenation weaning, airway clearance, refractory hypoxemia, mediastinitis, reduced oxidative capacity, sternal dehiscence, coronavirus disease 2019 (COVID-19), gastroparesis, ossification of the elbow, Takotsubo cardiomyopathy, airway dehiscence, recurrent pleural effusion, and scapular prolapse. Although some patients are not amenable to rehabilitation techniques, others can significantly improve with rehabilitation.

• 한국융합학회논문지
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• 제11권3호
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• pp.119-126
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• 2020

본 연구의 목적은 관성 측정 장치(Inertial Measurement Unit, IMU)의 융합연구 형태와 방법에 대한 연구를 체계적 문헌고찰 방법으로 분석하여 IMU의 형태와 방법에 대한 경향을 파악하고자 한다. 연구수행은 PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)가이드라인을 이용하여 수행되었다. 3개의 데이터베이스에서 검색된 630편 중 최종적으로 선정기준에 부합하는 23편을 선정하였다. 본 연구결과 전 세계적으로 IMU를 사용한 다양한 연구를 진행하고 있음을 알 수 있었고, IMU의 형태는 스트랩, 전신 슈트, 벨트, 손목시계, 신발, 장갑이 있었다. 이 중, 스트랩 형태의 IMU가 11편으로 가장 많았다. IMU의 장점인 간소화와 실시간 데이터 수집, 적용의 쉬움으로 작업 활동, 보행, 관절 가동 범위 등의 측정 방법으로 사용되었다. 본 연구의 결과는 IMU의 연구를 진행하는 의료 및 재활 분야의 전문가들에게 기초 자료로 활용될 수 있으리라 기대된다.

• 한국융합학회논문지
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• 제13권1호
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• pp.109-118
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• 2022

본 연구의 목적은 뇌손상 환자의 상지 움직임 평가와 인공지능 융합연구를 체계적 문헌고찰 방법으로 분석하여 인공지능의 적용에 대한 경향을 파악하고자 한다. 연구수행은 PRISMA(Preferred Reporting Items for Systematic Reviews and Meta-Analyses)가이드라인을 이용하여 수행되었다. 3개의 데이터베이스에서 검색된 380편 중 선정기준 및 배제기준에 따라 최종적으로 8편의 논문을 선정하였다. 상지 움직임 평가는 동작 수행 능력 평가와 FMA, ARAT가 사용되었다. 정량화를 위해 다양한 도구를 사용하여 데이터를 추출하였고, 인공지능을 이용해 상지 움직임 분류, 회복예후 예측, 평가도구 점수를 예측하였다. 본 연구는 인공지능을 이용해 상지 움직임 평가를 객관적으로 나타낸 연구들을 체계적으로 고찰하여 인공지능이 적용되고 있는 방향성을 파악했다는 점에서 의의가 있다. 이를 토대로 상지 움직임 평가에서 인공지능 기술을 도입하여 중재 효과와 환자의 회복을 객관적으로 파악하는데 도움이 될 것으로 기대한다.

• Biotechnology and Bioprocess Engineering:BBE
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• 제8권2호
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• pp.64-75
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• 2003

Aptamers are functional nucleic acids that can specially bind to proteins, peptides, amino acids. nucleotides, drugs, vitamins and other organic and inorganic compounds. The aptamers are identified from random DNA or RNA libraries by a SELEX (systematic evolution of ligands by exponential amplification) process. As aptamers have the advantage, and potential ability to be released from the limitations of antibodies, they are attractive to a wide range of therapeutic and diagnostic applications. Aptamers, with a high-affinity and specificity, could fulfil molecular the recognition needs of various fields in biotechnology. In this work, we reviewed some aptamer Selection techniques, properties, medical applications of their molecules and their biotechnological applications, such as ELONA (enzyme linked oligonucleotide assay), flow cytometry, biosensors, electrophoresis, chromatography and microarrays.

• 한국조리학회지
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• 제6권2호
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• pp.157-173
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• 2000

The purpose of this study is to identify important selection attributes for customers dining at family restaurants in Seoul, and the determinant and predicting factors in customers' intentions to return. A closed-ended questionnaire was used, and a systematic sampling approach was employed to survey a sample of customers in family restaurants. The data were analyzed using factor and multiple regression analysis. A four-dimensional structure was established from 14 selection attributes. The results of the study indicated four dimensions that were significantly related to the likelihood of customers returning to the same restaurants, as follows: Food and Environment, Service and Courtesy, Price and value, and Location and promotion. The findings from this study have both theoretical and practical implications. Implications of these findings are discussed.

• Genomics & Informatics
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• 제14권4호
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• pp.149-159
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• 2016

With the success of the genome-wide association studies (GWASs), many candidate loci for complex human diseases have been reported in the GWAS catalog. Recently, many disease prediction models based on penalized regression or statistical learning methods were proposed using candidate causal variants from significant single-nucleotide polymorphisms of GWASs. However, there have been only a few systematic studies comparing existing methods. In this study, we first constructed risk prediction models, such as stepwise linear regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN), using a GWAS chip and GWAS catalog. We then compared the prediction accuracy by calculating the mean square error (MSE) value on data from the Korea Association Resource (KARE) with body mass index. Our results show that SLR provides a smaller MSE value than the other methods, while the numbers of selected variables in each model were similar.

• 한국산업정보학회논문지
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• 제2권2호
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• pp.159-179
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• 1997

Traditionally, the evaluation and selection of suppliers have been a major purchasing function. A growing concern for just in-time purchasing, global sourcing, and long-term partnership between buyers and suppliers makes selecting a righ supplier become more critical decision making process. Consequently, a rigorous and systematic method for evaluation suppliers is a must. However, assessing the values of factors(e.g. qulaity , delivery, and service) selected for evaluating suppliers contains elements of uncertainty. Although several methods have been developed for uncertainty analysis, they may not be proper tools for evaluating suppliers under uncertainty. In this paper, a methodology using a fuzzy-set approach in combination with a multicriterion decision-making (MCDM) technique is developed to use as a tool for evaluating suppliers under uncertainty. An numerical example is presented to demonstrate the method in practice.

• 농촌계획
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• 제8권3호
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• pp.25-32
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• 2002

The purpose of this study is to define the concept of Hilly/Mountainous and Less-Favored Areas from the viewpoint of agricultural infrastructure, and to establish selection criteria and categorize of that areas. Using three type guidelines which were the rates of forest(above 50%), farmhouse population(above 50%) and infrastructure improvement(below 50%), the regions of 605 Eup Myon were selected to Hilly/Mountainous and Less-Favored Area. And for applying to regional development planning, the legions of eup myon were classified 4 types using average of the rate of forest and aged farmhouse population(75%, 17.5%). To conserve the farmland in Hilly/Mountainous and Less-Favored Areas, it requires continuous research on systematic approach method. Especially, it is necessary to investigate a development formula according to farmland scale and desolated degree through analysis of the actual condition of farmland.

• The Journal of Asian Finance, Economics and Business
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• 제1권2호
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• pp.31-37
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• 2014

The portfolio selection is one of the most important and vital decisions that a real or legal person, who invests in stock market, should make. The main purpose of this article is the determination of the optimal portfolio with regard to relations among stock returns of companies which are active in Tehran's stock market. For achieving this goal, weekly statistics of company's stocks since Farvardin 1389 until Esfand 1390, has been used. For analyzing statistics and information and examination of stocks of companies which has change in returns, factors analysis approach and clustering analysis has been used (FC approach). With using multivariate analysis and with the aim of reducing the unsystematic risk, a financial portfoliois formed. At last but not least, results of choosing the optimal portfolio rather than randomly choosing a portfolio are given.