• Title/Summary/Keyword: Identify

Search Result 38,465, Processing Time 0.055 seconds

Application of Whole Exome Sequencing to Identify Disease-Causing Variants in Inherited Human Diseases

  • Goh, Gerald;Choi, Murim
    • Genomics & Informatics
    • /
    • v.10 no.4
    • /
    • pp.214-219
    • /
    • 2012
  • The recent advent of next-generation sequencing technologies has dramatically changed the nature of biomedical research. Human genetics is no exception-it has never been easier to interrogate human patient genomes at the nucleotide level to identify disease-associated variants. To further facilitate the efficiency of this approach, whole exome sequencing (WES) was first developed in 2009. Over the past three years, multiple groups have demonstrated the power of WES through robust disease-associated variant discoveries across a diverse spectrum of human diseases. Here, we review the application of WES to different types of inherited human diseases and discuss analytical challenges and possible solutions, with the aim of providing a practical guide for the effective use of this technology.

Optimal Power Flow Study by The Newton's Method (뉴톤법에 의한 최적전력 조류계산)

  • Hwang, Kab-Ju
    • Proceedings of the KIEE Conference
    • /
    • 1989.07a
    • /
    • pp.173-178
    • /
    • 1989
  • Optimal Power Flow (OPF) solution by the Newton's method provides a reliable and robust method to classical OPF problems. The major challenge in algorithm development is to identify the binding inequalities efficiently. This paper propose a simple strategy to identify the binding set. From the mechanism of penalty shifting with soft penalty in trial iteration, a active binding sit is identified automatically. This paper also suggests a technique to solve the linear system whore coefficients are presented by the matrix. This implementation is highly efficient for sparsity programming. Case study for 3,5,14,118,190 bus and practrical KEPCO 305 bus system are performed as well.

  • PDF

The Impact on Adult Men's Development through Fathering Experiences (아버지됨(Fathering) 경험이 남성의 성인기 발달에 미치는 의미 탐색)

  • Hwang Jung-Hae
    • Journal of Families and Better Life
    • /
    • v.24 no.2 s.80
    • /
    • pp.43-60
    • /
    • 2006
  • Using interviewing methods, this study was able to identify how fathering impacted the development of adult fathers between the ages of 28 and 45 through 1 to 2 hours. The subjects were 46 middle-class adult men's from the ages of 28 and 45. Twenty of the subjects had infants under the age of 36 months, thirteen had preschool children, 37 months to preschool, and the remaining fathers had primary school aged children. Results are as follows: First, fathering experiences impacted the development of self-identify, sense of intimacy, and sense of generativity during adulthood. Second, fathering experiences impacted the men's establishment of 'becoming-themselves.' Last, fathering experiences impacted the development of men's maturity.

Toxicoproteomics in the Study of Aromatic Hydrocarbon Toxicity

  • Cho, Chang-Won;Kim, Chan-Wha
    • Biotechnology and Bioprocess Engineering:BBE
    • /
    • v.11 no.3
    • /
    • pp.187-198
    • /
    • 2006
  • The aromatic hydrocarbons (AHs), which include benzene, polycyclic aromatic hydrocarbons, and dioxin, are important chemical and environmental contaminants in industry that usually cause various diseases. Over the years, numerous studies have described and evaluated the adverse health effects induced by AHs. Currently, "Omics" technologies, transcriptomics and proteomics, have been applied in AH toxicity studies. Proteomics has been used to identify molecular mechanisms and biomarkers associated with global chemical toxicity. It could enhance our ability to characterize chemical-induced toxicities and to identify noninvasive biomarkers. The proteomic approach (e.g. 2-dimensional electrophoresis [2-DE]), can be used to observe changes in protein expression during chemical exposure with high sensitivity and specificity. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) and electrospray ionization-quadrupole (ESI-Q)-TOF MS/MS are recognized as the most important protein identification tools. This review describes proteomic technologies and their application in the proteomic analysis of AH toxicity.

Identification of optimum sites for power system controller using normal forms of vector field (Normal form을 이용한 제어기 설치 위치 선정방법)

  • Lee, In-Soo;Jang, Gil-Soo;Kwon, Sae-Hyuk;Lee, Byong-Jun
    • Proceedings of the KIEE Conference
    • /
    • 2000.11a
    • /
    • pp.39-42
    • /
    • 2000
  • In stressed power system, due to the presence of increased nonlinearity and the existence of nonlinear modal interactions, there exist some limitations to the use of conventional linear system theory to identify the optimum sites for controller. This paper proposes an approach to identify the optimum sites for controller using the method of normal forms. In this paper nonlinear participation factor and coupling factor are proposed as a measures of identification of optimum sites for controller and a selection procedure is also proposed. The proposed procedure is applied to the 10-generator New England System and the KEPCO System in the year of 2010 to illustrate its capabilities.

  • PDF

Animal Administration System Using Nose-Print Recognition and Blockchain Network (비문 인식과 블록체인 네트워크를 사용한 동물 관리 시스템)

  • Cho, Ji-Yeon;Lee, Seongsoo
    • Journal of IKEEE
    • /
    • v.23 no.4
    • /
    • pp.1477-1480
    • /
    • 2019
  • Animal authentication, where an animal is identified as the preregistered specific one or not, is exploited various fields such as animal hospital, animal shop, animal shelter, and animal insurance. Nose-print is widely exploited to identify animal as fingerprint is exploited to identify human. This paper introduces an animal administration system, where it performs animal registration and authentication through nose-print recognition and it connects various clients through blockchain network.

A Study of Humor as a Nursing Intervention for Hospitalized Children (입원아동을 위한 아동간호학 분야의 유머 중재에 관한 고찰)

  • Sim, In-Ok;Han, Kyung-Ja
    • Child Health Nursing Research
    • /
    • v.12 no.1
    • /
    • pp.114-121
    • /
    • 2006
  • Purpose: Humor is an important part of life. Humor has many benefits as an intervention for hospitalized children. Humor is one strategy that pediatric nurses can use to help children cope with illness and hospitalizations. The purposes of the study were to 1) review the definition of humor, 2) identify methods and skills in using humor as an intervention, 3) identify the effects of humor as an intervention, and 4) suggest further research. Method: The design was a descriptive study with literature review. Previous studies were identified by searches of MEDLINE, CHNIAL, PUBMED and ProQuest. Results: Humor has positive physiological, psychological, social and communicative effects on patients and humor has a positive effect on the immune system. Conclusion: The main point identified from this study suggests that humor as a nursing intervention be developed for nurses to use with children who are hospitalized. Further research is needed to develop programs for humor as an intervention for health promotion and disease prevention in children.

  • PDF

A Concept Analysis of 'Facilitator' in Simulation Nursing Education (시뮬레이션 간호 교육에서의 '촉진자(facilitator)' 개념분석)

  • Kim, Jiyoung
    • The Journal of Korean Academic Society of Nursing Education
    • /
    • v.24 no.1
    • /
    • pp.39-49
    • /
    • 2018
  • Purpose: This study was to identify and define the concept of a facilitator and specific attributes for providing basic data on simulation nursing education. Methods: Using Walker and Avant's (2005) criteria that identify the attributes, antecedents, and consequences of facilitators in simulation nursing education, the findings of research articles published from 2001 to 2017 were reviewed. Results: There were three aspects of the facilitator concept in simulation nursing education: (1) continuous support throughout the entire simulation process; (2) skilled progress based on clinical expertise; (3) guidance for learners to actively understand and reflect on the situation. Conclusion: This concept analysis helps us to better understand better facilitators in simulation nursing education.

The Fault Diagnosis of a Transformer Using Neural Network and Transfer Function

  • Park, Byung-Koo;Kim, Jong-Wook;Kim, Sang-Woo;Park, Poo-Gyeon;Park, Tae-Joon
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2001.10a
    • /
    • pp.127.2-127
    • /
    • 2001
  • A transformer is one of the most important elements in the power network. Transformer faults could cause costly repairs and be dangerous to personnel. To avoid this, its reliable operation has great significance and, therefore, the diagnosis system of the transformer is necessitated. The dissolved gas-in-oil analysis (DGA) is the worldwide popular method of detecting faults such as a hot spot or partial discharges inside the transformer. DGA, however, is not a reliable technique to identify aging phenomena and mechanical faults including insulation failure, inter-turn short, etc. To overcome the drawbacks of DGA, the transfer function method is used to identify effectively these kinds of the mechanical faults. The transformer has a unique transfer function independent of the shape of the input waveform, which can be evaluated through sweep test. This transfer function changes by winding ...

  • PDF

Fault Diagnostic System Based on Fuzzy Time Cognitive Map

  • Lee, Kee-Sang;Kim, Sung-Ho
    • Transactions on Control, Automation and Systems Engineering
    • /
    • v.1 no.1
    • /
    • pp.62-68
    • /
    • 1999
  • FCM(Fuzzy Cognitive Map) is proposed for representing causal reasoning. Its structure allows systematic causal reasoning through a forward inference. Authors have already proposed a diagnostic system based on FCM to utilized to identify the true origin of fault by on-line pattern diagnosis. In FCM based fault diagnosis, Temporal Associative Memories (TAM) recall of FCM is utilized to identify the true origin of fault by on-line pattern match where predicted pattern sequences obtained from TAM recall of fault FCM models are compared with actually observed ones. In engineering processes, the propagation delays are induced by the dynamics of processes and may vary with variables involved. However, disregarding such propagation delays in FCM-based fault diagnosis may lead to erroneous diagnostic results. To solve the problem, a concept of FTCM(Fuzzy Time Cognitive Map) is introduced into FCM-based fault diagnosis in this work. Expecially, translation method of FTCM makes it possible to diagnose the fault for some discrete time. Simulation studies through two-tank system is carried out to verify the effectiveness of the proposed diagnostic scheme.

  • PDF