• Title/Summary/Keyword: Diagnostic Information

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Meta-Analysis of Correlation Between Subjective and Objective Cognitive-Linguistic Tests : Focused on Normal Aging, MCI, and Dementia (메타분석을 통한 주·객관적 인지-언어 평가 간 상관성 연구 : 정상 노년층, MCI, 치매 환자를 중심으로)

  • Lee, Mi-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7414-7423
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    • 2015
  • Subjective cognitive-linguistic complaints in older adults contribute to the diagnostic and prognostic investigation of MCI or dementia. However, the utility of subjective test for predicting cognitive-linguistic decline is controversial. Few domestic studies have included the correlation between subjective and objective tests systematically. The current study analyzed 26 studies published since 2000, and the effect sizes of their correlation coefficients between two tests were computed. The results of qualitative analysis indicated that the number of subjects ranged from 26 to 657. Subjective tests included the self-report 75.4% and the informant-report 24.6%. In objective tests, memory comprised the largest proportion, followed by global cognition, and language, etc. As a result of meta-analysis, self-report test had the predictive value for dementia, and informant-report test contributed to discriminate among 3 groups. In the elderly group, self-report test was correlated with reasoning, and informant-report test with memory and language. In MCIs, self-report test predicted several abilities including language, and informant-report test signaled the future decline of domains like global cognition. Two types of subjective tests in dementia also represented memory, language, and global cognition accurately. This study provides evidence-based information to support relationships between subjective and objective tests for cognitive-linguistic ability in 3 groups.

A portable electronic nose (E-Nose) system using PDA device (개인 휴대 단말기 (PDA)를 기반으로 한 휴대용 E-Nose의 개발)

  • Yang, Yoon-Seok;Kim, Yong-Shin;Ha, Seung-Chul;Kim, Yong-Jun;Cho, Seong-Mok;Pyo, Hyeon-Bong;Choi, Chang-Auck
    • Journal of Sensor Science and Technology
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    • v.14 no.2
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    • pp.69-77
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    • 2005
  • The electronic nose (e-nose) has been used in food industry and quality controls in plastic packaging. Recently it finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. Moreover, the use of portable e-nose enables the on-site measurements and analysis of vapors without extra gas-sampling units. This is expected to widen the application of the e-nose in various fields including point-of-care-test or e-health. In this study, a PDA-based portable e-nose was developed using micro-machined gas sensor array and miniaturized electronic interfaces. The rich capacities of the PDA in its computing power and various interfaces are expected to provide the rapid and application specific development of the diagnostic devices, and easy connection to other facilities through information technology (IT) infra. For performance verification of the developed portable e-nose system, Six different vapors were measured using the system. Seven different carbon-black polymer composites were used for the sensor array. The results showed the reproducibility of the measured data and the distinguishable patterns between the vapor species. Additionally, the application of two typical pattern recognition algorithms verified the possibility of the automatic vapor recognition from the portable measurements. These validated the portable e-nose based on PDA developed in this study.

A Neural Network-Based Tracking Method for the Estimation of Hazardous Gas Release Rate Using Sensor Network Data (센서네트워크 데이터를 이용하여 독성물질 누출속도를 예측하기 위한 신경망 기반의 역추적방법 연구)

  • So, Won;Shin, Dong-Il;Lee, Chang-Jun;Han, Chong-Hun;Yoon, En-Sup
    • Journal of the Korean Institute of Gas
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    • v.12 no.2
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    • pp.38-41
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    • 2008
  • In this research, we propose a new method for tracking the release rate using the concentration data obtained from the sensor. We used a sensor network that has already been set surrounding the area where hazardous gas releases can occur. From the real-time sensor data, we detected and analyzed releases of harmful materials and their concentrations. Based on the results, the release rate is estimated using the neural network. This model consists of 14 input variables (sensor data, material properties, process information, meteorological conditions) and one output (release rate). The dispersion model then performs the simulation of the expected dispersion consequence by combining the sensor data, GIS data and the diagnostic result of the source term. The result of this study will improve the safety-concerns of residents living next to storage facilities containing hazardous materials by providing the enhanced emergency response plan and monitoring system for toxic gas releases.

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Women with PMS, Digestive Function Associated with an Appeal 脾胃辨證說問 Correlation Analysis (PMS를 호소하는 여성의 소화기능과 연관된 비위변증설문(脾胃辨證設問)과의 상관관계 분석)

  • Jang, Hee-Jae;Kim, Nam-Hoon;Hwang, Deok-Sang;Lee, Jin-Moo;Lee, Chang-Hoon;Cho, Jung-Hoon;Jang, Jun-Bock;Lee, Kyung-Sub
    • The Journal of Korean Obstetrics and Gynecology
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    • v.24 no.2
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    • pp.104-111
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    • 2011
  • Objectives: The paper of 2001, China Medicine junguiyak stomach sickness9) proposed by the stomach is associated with digestive function, using dialectical gisulpyo PMS group to assess the patient's stomach function was to evaluate the diagnostic features. Methods: October 1, 2010 to November 15, 2010 women of childbearing age against a total of 25 people have responded to the survey was a random survey, 23 patients except two who were against the PMS 10 and 13 who were classified non-PMS group. Results: 1. Age group and non-PMS PMS theses, menstrual period is there was no statistically significant difference between the history of both the pill and had no information available on careers. 2. When comparing the total score PMS score was higher than in non-PMS group. This is a non-PMS PMS patients than in patients stomach functions normally fall. 3. Digestive function of the type of group, less PMS GanGi-woolche, Ganwool-Bihu, Bihu-Damsub, Hanyul-Chakchab significant difference in the items were found. 4. Digestive function of the type of group, less PMS GanGi-woolche the most significant was the type of apologetics. Conclusions: GanGi-woolche type was the most significant mental stress and autonomic tone of the PMS group, the higher the patient was likely to be included. Previously associated with HRV in the GanGi-woolche in a study evaluating the autonomic nervous system can be said to have relevance.

Granulomatous Meningoencephalitis in an Old Dog ; magnetic resonance imaging and immunohistopathologic findings (노령견에서 병발한 육아종성 뇌수막염 증례 보고: 자기 공명 영상 및 면역조직병리학 소견)

  • Jung, Dong-In;Yoo, Jong-Hyun;Kang, Byeong-Teck;Park, Chul;Gu, Su-Hyun;Kim, Ju-Won;Jeon, Hyo-Won;Lee, So-Young;Woo, Eung-Je;Sur, Jung-Hyang;Park, Hee-Myung
    • Journal of Veterinary Clinics
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    • v.24 no.3
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    • pp.406-409
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    • 2007
  • A 12-year-old female mixed Chihuahua dog was referred because of acute blindness and progressive tetraparesis. Mutifocal lesions in the cerebrum were noted on brain magnetic resonance images and cerebrospinal fluid analysis showed monocytic pleocytosis. Based on these results, granulomatous meningoencephalitis (GME) was strongly suspected. Cerebral lesions were definitely diagnosed as GME based on histopathological findings and positive results of immunohistological stains of brain with T-cell marker (CD3). This report describes the clinical findings, diagnostic imaging characteristics, and immunohistopathologic features of GME in an old dog. In addition, this case demonstrates that clinical signs of GME were mediated by perivascular infiltration of T lymphocytes and identification of causes in T cell-mediated inflammation should be further studied.

Grading meat quality of Hanwoo based on SFTA and AdaBoost (SFTA와 AdaBoost 기반 한우의 육질 등급 분석)

  • Cho, Hyunhak;Kim, Eun Kyeong;Jang, Eunseok;Kim, Kwang Baek;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.6
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    • pp.433-438
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    • 2016
  • This paper proposes a grade prediction method to measure meat quality in Hanwoo (Korean Native Cattle) using classification and feature extraction algorithms. The applied classification algorithm is an AdaBoost and the texture features of the given ultrasound images are extracted using SFTA. In this paper, as an initial phase, we selected ultrasound images of Hanwoo for verifying experimental results; however, we ultimately aimed to develop a diagnostic decision support system for human body scan using ultrasound images. The advantages of using ultrasound images of Hanwoo are: accurate grade prediction without butchery, optimizing shipping and feeding schedule and economic benefits. Researches on grade prediction using biometric data such as ultrasound images have been studied in countries like USA, Japan, and Korea. Studies have been based on accurate prediction method of different images obtained from different machines. However, the prediction accuracy is low. Therefore, we proposed a prediction method of meat quality. From the experimental results compared with that of the real grades, the experimental results demonstrated that the proposed method is superior to the other methods.

Overweight & Obesity in Children & Adolescents with Autism Spectrum Disorders - Retrospective Chart Review - (자폐스펙트럼장애(Autism Spectrum Disorder) 소아청소년에서의 과체중 및 비만 연구 - 후향적 의무기록 조사 -)

  • Im, Woo Young
    • Korean Journal of Psychosomatic Medicine
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    • v.23 no.2
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    • pp.129-135
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    • 2015
  • Objectives : In children and adolescents, the prevalence of overweight has increased in the last 20 years. little research is available on the prevalence of obesity in children with autism spectrum disorders(ASD). The purpose of our study was to determine the prevalence of overweight among a clinical population of children diagnosed with autism spectrum disorders(ASD). Methods : Retrospective chart review of children ages 3-18 years seen between 2012 and 2015 at a Konyang University hospital psychiatric clinic. Diagnostic, medical, and demographic information was extracted from the charts. Body mass index(BMI) was calculated from measures of height and weight recorded in the child's chart. The Center for Disease Control's BMI growth reference was used to determine an age and gender-specific BMI z-score for the children. Results : In our study, children with ASD compared to non ASD group had significantly higher BMI percentiles (p=0.032). The prevalence of overweight($BMI{\geq}85th$ to 95th percentiles) and obesity($BMI{\geq}95th$ percentiles) was 35% and 19% respectively in children with ASD and without ASD. Conclusions : Despite noted limitations, our data suggest that overweight and obesity in children with ASD are more prevalent than without ASD. Longitudinal and further study is needed to examine the factors associated with obesity in this population.

Threat Diagnostic Checklists of Security Service in 5G Communication Network Virtualization Environment (5G 통신 네트워크 가상화 환경에서 보안 서비스의 위협 진단 체크리스트)

  • Hong, Jin-Keun
    • Journal of Convergence for Information Technology
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    • v.11 no.10
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    • pp.144-150
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    • 2021
  • The purpose of this paper is to review the direction of the slicing security policy, which is a major consideration in the context of standardization in 5G communication network security, to derive security vulnerability diagnosis items, and to present about analyzing and presenting the issues of discussion for 5G communication network virtualization. As for the research method, the direction of virtualization security policy of 5G communication network of ENISA (European Union Agency for Cybersecurity), a European core security research institute, and research contents such as virtualization security policy and vulnerability analysis of 5G communication network from related journals were used for analysis. In the research result of this paper, the security structure in virtualization security of 5G communication network is arranged, and security threats and risk management factors are derived. In addition, vulnerability diagnosis items were derived for each security service in the risk management area. The contribution of this study is to summarize the security threat items in 5G communication network virtualization security that is still being discussed, to be able to gain insights of the direction of European 5G communication network cybersecurity, and to derive vulnerabilities diagnosis items to be considered for virtualization security of 5G communication network. In addition, the results of this study can be used as basic data to develop vulnerability diagnosis items for virtualization security of domestic 5G communication networks. In the future, it is necessary to study the detailed diagnosis process for the vulnerability diagnosis items of 5G communication network virtualization security.

A Study on the Automation of MVDC System-Linked Digital Substation (MVDC 시스템연계 디지털변전소 자동화 연구)

  • Jang, Soon Ho;Koo, Ja Ik;Mun, Cho Rong
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.7
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    • pp.199-204
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    • 2021
  • Digital substation refers to a substation that digitizes functions and communication methods of power facilities such as monitoring, measuring, control, protection, and operation based on IEC 61850, an international standard for the purpose of intelligent power grids. Based on the intelligent operating system, efficient monitoring and control of power facilities is possible, and automatic recovery function and remote control are possible in the event of an accident, enabling rapid power failure recovery. With the development of digital technology and the expansion of the introduction of eco-friendly renewable energy and electric vehicles, the spread of direct current distribution systems is expected to expand. MVDC is a system that utilizes direct current lines with voltage levels and transmission capacities between HVDCs applied to conventional transmission systems and LVDCs from consumers. Converting existing lines in substations, where most power equipment is alternating current centric, to direct current lines will reduce transmission losses and ensure greater current capacity. The process bus of a digital substation is a communication network consisting of communication equipment such as Ethernet switches that connect installed devices between bay level and process level. For MVDC linkage to existing digital substations, the process level was divided into two buses: AC and DC, and a system that can be comprehensively managed in conjunction with diagnostic IEDs as well as surveillance and control was proposed.

Layered Double Hydroxide Nanoparticles for Bio-Imaging Applications (LDH 나노입자 기반의 바이오 이미징 소재)

  • Jin, Wenji;Ha, Seongjin;Lee, Dongki;Park, Dae-Hwan
    • Korean Chemical Engineering Research
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    • v.57 no.4
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    • pp.445-454
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    • 2019
  • Layered double hydroxides (LDHs) nanoparticles have emerged as novel nanomaterials for bio-imaging applications due to its unique layered structure, physicochemical properties, and good biocompatibility. Bio-imaging is one of the most important fields for medical applications in clinical diagnostics and therapeutics of various diseases. Enhanced diagnostic techniques are needed to realize new paradigm for next-generation personalized medicine through nanoscale materials. When nanotechnology is introduced into bio-imaging system, nanoparticle probes can endow imaging techniques with enhanced ability to obtain information about biological system at the molecular level. In this review, we summarize structural features of LDH nanoparticles with current issues of bio-imaging system. LDH nanoparticle probes are also discussed through in vitro as well as in vivo studies in various bio-imaging techniques including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and computed X-ray tomography (CT), which will have the potential in the development of the advanced nanoparticles with high sensitivity and selectivity.