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Chan-Mo Yang,Bung-Nyun Kim 대한소아청소년정신의학회 2020 소아청소년정신의학 Vol.31 No.2
Objectives: Mood disorder is highly comorbid with attention deficit/hyperactivity disorder (ADHD), and comorbid ADHD symptoms are associated with suicide risk. The aim of this study was to examine the association between comorbid ADHD symptoms and the number of suicide attempts among patients with unipolar and bipolar depression. Methods: In this cross-sectional study, 100 patients with either unipolar or bipolar depression constituted the final sample. Pearson’s correlation and multiple regression analyses were conducted to examine the association between comorbid ADHD symptoms and suicide risk. Results: Among patients with bipolar depression, the number of suicide attempts was significantly correlated with ADHD symptoms (r=0.324, p<0.01). ADHD symptoms significantly predicted the number of suicide attempts (β=0.249, p<0.05). Conclusion: Our findings underscore the importance of screening and assessing ADHD symptoms in male young adults with depressive disorders.
Reliability and Validity of the Korean Version of Somatic Symptom Scale-8
Chan-Mo Yang,Kyu-Sic Hwang,Sang-Yeol Lee,Jeong Seok Seo,Seung-Ho Jang 대한신경정신의학회 2020 PSYCHIATRY INVESTIGATION Vol.17 No.8
Objective Somatic symptoms in psychiatry include underlying depression, anxiety, or other psychiatric disorders. This study aimed to conduct a validation study of a Korean version of the Somatic Symptom Scale-8 (K-SSS-8), and to utilize the K-SSS-8 effectively in clinical settings. Methods For reliabilty, test-retest reliability and internal consistency were analyzed. For construct validity, exploratory factor analysis(EFA) and confirmatory factor analysis (CFA) were conducted. Known-group validity was verified, Jonckheere-Terpstra test (J-T statistic) were used. Results Maternal Cronbach’s alpha was 0.85 and r value of test-retest reliability was 0.777. In the EFA, 2-, 3- and 4-factor model showed cumulative percentile for variance of 60% or more. In the CFA, the 3-factor model was found to be the most appropriated and simplest (χ2=10.992, df=17, CFI=1.000, TLI=1.022, RMSEA=0.000). The verifying the difference in K-SSS-8 also showed significant difference.(J-T statistic=-2.510, p<0.05). Conclusion K-SSS-8 can be useful for exploring symptoms such as panic symptoms, physical pain, and physiological symptoms experienced by patients in a short time. In addition, the K-SSS-8 is expected to be very useful for determining the current severity by using the severity categories and for establish additionally required assessment plans for depression and anxiety symptoms.
Chan-Mo Yang,Jaeyoung Shin,Johanna Inhyang Kim,You Bin Lim,So Hyun Park,Bung-Nyun Kim 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.4
Objective: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children and adults characterized by cognitive and emotional self-control deficiencies. Previous functional near-infrared spectroscopy (fNIRS) studies found significant group differences between ADHD children and healthy controls during cognitive flexibility tasks in several brain regions. This study aims to apply a machine learning approach to identify medication-naive ADHD patients and healthy control (HC) groups using task-based fNIRS data. Methods: fNIRS signals from 33 ADHD children and 39 HC during the Stroop task were analyzed. In addition, regularized linear discriminant analysis (RLDA) was used to identify ADHD individuals from healthy controls, and classification performance was evaluated. Results: We found that participants can be correctly classified in RLDA leave-one-out cross validation, with a sensitivity of 0.67, specificity of 0.93, and accuracy of 0.82. Conclusion: RLDA using only fNIRS data can effectively discriminate children with ADHD from HC. This study suggests the potential utility of the fNIRS signal as a diagnostic biomarker for ADHD children.
한국형 우울장애 약물치료 알고리듬 2021 (III) : 소아·청소년
양찬모(Chan-Mo Yang),심세훈(Se-Hoon Shim),박원명(Won-Myong Bahk),우영섭(Young Sup Woo),정종현(Jong-Hyun Jeong),왕성민(Sheng-Min Wang),김원(Won Kim),서정석(Jeong Seok Seo),이정구(Jung Goo Lee),박영민(Young-Min Park),장승호(Seung-Ho J 대한신경정신의학회 2021 신경정신의학 Vol.60 No.3
Objectives The Korean Medication Algorithm Project for Depressive Disorder 2021 (KMAP-DD 2021) was a revision of previous works. The main purpose of the current study was to amend guidelines for the treatment of a major depressive disorder (MDD) for children and adolescents. Methods The survey consisted of 21 questionnaires for children and adolescents. A total of 33 of the 46 experts in child and adolescent psychiatry answered the survey. Results Antidepressant (AD) monotherapy was selected as the 1st line option for MDD with mild to moderate severity. As the 1st line of treatment for MDD severe without psychotic features in children and adolescents, AD monotherapy and AD augmented with atypical antipsychotics (AAP) were recommended. For MDD with psychotic features, AD augmented with AAP was preferred as the 1st line of treatment. Conclusion We developed an algorithm for child and adolescent populations with depressive disorders, more specifically than the KMAP-DD 2017. We expect this algorithm will provide clinicians useful information and help in the treatment of children and adolescents with depressive disorders.
연구논문 : 과학 관련 활동에 대한 초등학생의 선호 및 참여와 관련된 요인 탐색
양찬호 ( Chan Ho Yang ),조준모 ( Jun Mo Jo ),김찬종 ( Chan Jong Kim ),최승언 ( Seung Urn Choe ),김희백 ( Heui Baik Kim ),유준희 ( June Hee Yoo ),이경우 ( Kyung Woo Yi ),계영희 ( Young Hee Kye ),노태희 ( Tae Hee Noh ) 한국초등과학교육학회 2014 초등과학교육 Vol.33 No.3
In this study, we explored the factors related with preference for and participation in science-related activities of elementary school students. We developed a questionnaire to measure the characteristics of students such as motivation toward science learning, science aspiration, family science orientation, parental educational level and occupation, and the degrees of preference and participation of science-related activities. The questionnaire was administered to about 400 fourth graders in Seoul. The results revealed that the students with higher motivation toward science learning and/or science aspiration preferred and participated more in most activities. It was also found that parental educational level and occupation did not make an appreciable difference in preference and participation. The students who perceived their parents to be science-oriented, however, preferred and participated more in most activities. These results may offer practical implications for effective uses of both school and out-of-school science activities in elementary science education.
양모찬(Mo-Chan Yang) 한국전자통신학회 2019 한국전자통신학회 논문지 Vol.14 No.6
본 논문에서는 LTE 네트워크에서 SON(: Self Organization Networks) 기술 분석을 다룬다. SON은 이전 셀룰러 시스템인 UMTS, GSM과 비교되는 LTE 만의 차별적인 기능이고, 무선 라디오가 변화하는 환경에서 비용 효율적으로 최고의 성능을 도출하는 도구이다. 또한, SON은 운영자가 네트워크의 설정들을 자동화하는 기능이 있으며, 중앙 집중적 계획이 가능하고 수작업에 대한 요구를 감소시켰다. SON은 크게 Self-Configuration, Self-Optimization, Self-Healing의 3가지 범주로 나누어진다. 각각의 큰 범주는 세부적인 기술 내용을 가지고 있고 각 범주의 기술들이 모두 모여서 SON이라는 기술을 완성시키게 된다. 본 논문에서는 각 3가지 범주에서 Self-Optimization의 기술 중 MRO(: Mobility Robustness Optimization)에 대해서 집중 적으로 분석하였다. This paper describes SON(: Self Organization Network) technology in LTE networks. The SON is a unique feature of LTE compared to previous cellular systems such as UMTS and GSM, and it is a tool that effectively derives the best performance in the time-varying wireless radio environment. Also, the SON has the ability for the operator to automate the setting of the network, allowing for centralized planning and reducing the need for manual work. The SON is largely divided into three categories: Self-Configuration, Self-Optimization, and Self-Healing. Each large categories has a detailed description of technology, and the technologies in each categories are gathered to complete the technology called the SON. In this paper, we focus on MRO which is one of the Self-Optimization technique in each of the three categories.