• 대한불안의학회지
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• 제14권2호
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• pp.127-134
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• 2018

Objective : The aim of this study was to examine the psychometric features of the Korean version of the Eating Disorder Diagnostic Scale-the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (K-EDDS DSM-5). Methods : A total of 72 patients diagnosed with eating disorders participated in the study. The diagnosis was based on the Korean version of the Eating Disorder Examination (KEDE) interview. All participants completed the K-EDDS and the Eating Disorder Examination Questionnaire version 6.0 (EDE-Q 6.0) for this study. The psychometric features of the K-EDDS were examined using exploratory factor analysis, convergent validity of agreement between the K-EDDS and the KEDE, and internal consistency. Results : The exploratory factor analysis initially extracted 6-factor structures which were reconstructed into 4 factors of body dissatisfaction, binge behavior, binge frequency, and compensatory behavior based on appropriateness of the items. The internal consistency of the K-EDDS was fairly acceptable (Cronbach's alpha=0.72). The diagnostic agreement between the K-EDDS and the KEDE was high (98.61%). The 4 factors of the K-EDDS showed significant correlation with the 4 subscales of the EDE-Q 6.0. Conclusion : Our data suggests that the K-EDDS is a reliable and valid tool for the diagnosis of eating disorders based on the DSM-5.

• Imaging Science in Dentistry
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• 제51권4호
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• pp.363-372
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• 2021

Purpose: This systematic review and meta-analysis assessed the diagnostic accuracy of imaging examinations for the detection of peri-implant bone defects and compared the diagnostic accuracy between titanium (Ti) and zirconium dioxide (ZrO₂) implants. Materials and Methods: Six online databases were searched, and studies were selected based on eligibility criteria. The studies included in the systematic review underwent bias and applicability assessment using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool and a random-effect meta-analysis. Summary receiver operating characteristic (sROC) curves were constructed to compare the effect of methodological differences in relation to the variables of each group. Results: The search strategy yielded 719 articles. Titles and abstracts were read and 61 studies were selected for full-text reading. Among them, 24 studies were included in this systematic review. Most included studies had a low risk of bias (QUADAS-2). Cone-beam computed tomography (CBCT) presented sufficient data for quantitative analysis in ZrO₂ and Ti implants. The meta-analysis revealed high levels of inconsistency in the latter group. Regarding sROC curves, the area under the curve (AUC) was larger for the overall Ti group (AUC=0.79) than for the overall ZrO₂ group (AUC=0.69), but without a statistically significant difference between them. In Ti implants, the AUCs for dehiscence defects(0.73) and fenestration defects(0.87) showed a statistically significant difference. Conclusion: The diagnostic accuracy of CBCT imaging in the assessment of peri-implant bone defects was similar between Ti and ZrO₂ implants, and fenestration was more accurately diagnosed than dehiscence in Ti implants.

• Journal of Hospice and Palliative Care
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• 제24권4호
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• pp.214-225
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• 2021

Purpose: This study reviewed screening and assessment tools that are used to measure delirium in patients with cancer in hospice and palliative care settings and examined their psychometric properties. Methods: Four databases were searched for studies using related search terms (delirium, tools, palliative care, cancer, and others). The inclusion criteria were a) studies that included screening/assessment tools for measuring delirium in cancer patients receiving hospice/palliative care, and b) studies published in English or Korean. The exclusion criteria were a) studies that were conducted in an intensive care setting, and b) case studies, qualitative studies, systematic reviews, or meta-analyses. Results: Out of the 81 studies identified, only 10 examined the psychometric properties of tools for measuring delirium, and 8 tools were ultimately identified. The psychometric properties of the Memorial Delirium Assessment Scale (MDAS) were the most frequently examined (n=5), and the MDAS showed good reliability, concurrent validity, and diagnostic accuracy. The Delirium Rating Scale had good reliability and diagnostic accuracy. The Delirium Rating Scale-Revised 98 also showed good reliability and structural validity, but its diagnostic performance was not examined in hospice/palliative care settings. The Nursing Delirium Screening Scale showed relatively low diagnostic accuracy. Conclusion: The MDAS showed evidence of being a valid assessment tool for assessing delirium in patients with cancer in palliative care. Few studies examined the diagnostic performance of delirium tools. Therefore, further studies are needed to examine the diagnostic performance of screening/assessment tools for the optimal detection of delirium in patients with cancer in hospice/palliative care.

• Korean Journal of Radiology
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• 제22권4호
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• pp.634-651
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• 2021

Dynamic X-ray (DXR) is a functional imaging technique that uses sequential images obtained by a flat-panel detector (FPD). This article aims to describe the mechanism of DXR and the analysis methods used as well as review the clinical evidence for its use. DXR analyzes dynamic changes on the basis of X-ray translucency and can be used for analysis of diaphragmatic kinetics, ventilation, and lung perfusion. It offers many advantages such as a high temporal resolution and flexibility in body positioning. Many clinical studies have reported the feasibility of DXR and its characteristic findings in pulmonary diseases. DXR may serve as an alternative to pulmonary function tests in patients requiring contact inhibition, including patients with suspected or confirmed coronavirus disease 2019 or other infectious diseases. Thus, DXR has a great potential to play an important role in the clinical setting. Further investigations are needed to utilize DXR more effectively and to establish it as a valuable diagnostic tool.

• Parasites, Hosts and Diseases
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• 제51권6호
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• pp.651-656
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• 2013

Human schistosomiasis caused by Schistosoma japonicum and Schistosoma mekongi is a chronic and debilitating helminthic disease still prevalent in several countries of Asia. Due to morphological similarities of cercariae and eggs of these 2 species, microscopic differentiation is difficult. High resolution melting (HRM) real-time PCR is developed as an alternative tool for the detection and differentiation of these 2 species. A primer pair was designed for targeting the 18S ribosomal RNA gene to generate PCR products of 156 base pairs for both species. The melting points of S. japonicum and S. mekongi PCR products were $84.5{\pm}0.07^{\circ}C$ and $85.7{\pm}0.07^{\circ}C$, respectively. The method permits amplification from a single cercaria or an egg. The HRM real-time PCR is a rapid and simple tool for differentiation of S. japonicum and S. mekongi in the intermediate and final hosts.

• 산업융합연구
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• 제17권4호
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• pp.87-94
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• 2019

본 연구의 목적은 노인 치매예방을 위해 스마트폰에서 제공되고 있는 치매예방 게임 앱과 치매진단 앱의 이용에 대한 유용성 및 그 기대효과를 예측하는 것이다. 연구방법은 첫째, 치매예방프로그램의 효과성을 검증하기 위하여 사용되고 있는 6개의 치매진단도구를 선정하고 각 진단도구가 검증하고 있는 인지기능영역을 추출하였다. 둘째는 29개의 스마트폰 치매예방 게임 앱과 치매관리 앱을 선정하여 이 앱들을 이용한 이후의 기대효과를 치매진단도구에서 추출된 인지영역과 연계하여 분석하였다. 연구 결과, 스마트폰 치매예방 앱을 이용하여 지속적으로 게임을 하거나 치매관리를 할 경우 특정 영역의 인지기능을 증진함으로써 치매예방 관리에 도움이 될 것으로 기대되었다. 스마트폰 치매예방 앱은 시공간을 초월한 이용의 용이성, 지속적 사용성 그리고 경제성을 통하여 오프라인으로 운영되고 있는 치매예방프로그램의 한계점을 보완함으로써 노인의 인지능력을 증진시키고 치매를 예방하는 데 유용할 것이다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.92-97
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• 2001

The major faults of CNC machine tool is operational error which is charge over 70%. This paper describes model of remote service and fault diagnosis for CNC machine tool with open architecture controller. For intelligent fault diagnosis, new model is proposed. In this paper, the three major operational faults, emergency stop error, cycle start disable and machine ready disable, are defined. Two diagnostic models based on the ladder diagram, switching function model, step switching function model, are proposed. For internet based remote service, suitable environment is proposed and implemented with web server and client.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제1권1호
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• pp.104-112
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• 2001

Simply, Nonlinear dynamics theory means the complicated and noise-like phenomena originated form nonlinearity involved in deterministic dynamical system. An almost all the natural signals have nonlinear property. However, there exist few analysis software tool or package for a research and development of applications. We develop nonlinear time series analysis simulator is to provide a common and useful tool for this purpose and to promote research and development of nonlinear dynamics theory. This simulator is consists of the following four modules such as generation module, preprocessing module, analysis module and ICA module. In this paper, we applied to Electroencephalograph (EEG), as it turned out, our simulator is able to analyze nonlinear time series. Besides, we could get the useful results using the various parameters. These results are used to diagnostic the brain diseases.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1997년도 하계학술대회 논문집 A
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• pp.358-360
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• 1997

The train control and monitoring system(TCMS) is an on board computer system in railway vehicles performing the control, supervisory and diagnostic functions of the complete train. This system replaces a lot of hardwired relays and minimizes the necessaries vehicle wiring thus increasing the reliability of the train. In this paper, we proposed a software design technique of TCMS using CASE tool (SAO+). The TCMS functions are implemented in software easily programmed, using a functional block, graphic programming language. We applied the compressor air module to a case study.

• 한국정밀공학회지
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• 제14권11호
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• pp.147-153
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• 1997

Fault diagnosis technique in machining system which is one of engineering techniques absolutely necessary to automation of manufacturing system has been proposed. As a whole, diagnosis process is explained by two steps: sensor data acquisition and reasoning current state of system with the given sensor data. Flexible disk grinding process implemented in milling machine was employed in order to obtain empirical manufacturing process information. Resistance force data during machining were acquired using tool dynamometer known as sensor which is comparably accurate and reliable in operation. Tool status during the process was analyzed using influnece diagram assigning probability from the statistical analysis procedure.