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      • 자궁경부암 냉동조직에서 Polymerase Chain Reaction (PCR)을 이용한 인 유듀종바이러스 (HPV)의 출현과 임상적 특징과의 연관성에 관한 연구

        권선호,남상륜,이증훈,노재랑,최준호 충남대학교 의과대학 지역사회의학연구소 1995 충남의대잡지 Vol.22 No.1

        Infection with human papillomavirus(HPV) is considered to be the principal causal agent in the development of the uterine cervical cancer. To detect HPV types prevalent in carcinoma of the uterine cervix, a type-specific, sensitive polymerase chain reaction(PCR)-based assay for HPV types 16, 18, and 33 was applied to 40 cervical carcinomas(39 squamous cell carcinomas and 1 adenocarcinoma), 6 cases of cervical intraepithelial neoplasia(CIN), and 18 samples of cervicitis and histologically normal cervix. PCR was done using 2 sets of Ll primer of HPV-16 and 18, 1 set of E2/E1 primer of HPV-33, and 3 sets of E6 primer of HPV-16, 18, 33. The amplified product was analyzed directly on the basis of the size of the ethidium bromide-stained band visible after agarose gel electrophoresis, which was confirmed by Southern blot hybridization. The results were as follows : 1. As expected, the combined incidence of the common high-risk genital HPVs(types 16, 18 and 33) was high in carcinomas (82.5%) and CIN 111(66.7%), low in CIN 1(33.3%), and nonexistent in the normal controls. 2. By using L1 primers and E1/E2 primers in 46 CINs and cervical carcinomas, HPV DNA was detected in 36(78.3%), which were 65.2%(30/46) for HPV 16, 8.7%(4/46) for HPV 33, 6.5%(3/46) for HPV-18, and only 1 case of mixed infection of HPV-16 and HPV-18 was detected. All normal cervices and cervicitis tissues were negative for HPV 16, 18 and 33. By using E6 primers, 35 (76.1%) cases were positive for HPV DNA, which were 67.4%(31/46) for HPV-16, 4.3%(2/46) each for HPV-18 and HPV-33. HPV 16 is the most common type present in squamous cell carcinoma. 3. There was no difference in detection rates of HPV DNA according to patients age in cervical carcinoma (p=0.188). 4. There were good correlation between the results obtained by PCR using Ll or E1/2 primer and those by E6 primer. The concordance rates were 93.8%(60/64) for HPV-16, 98.4% for HPV-18, and 96.9% for HPV-33. 5. There was no difference in detection rates of HPV DNA according to clinical stage in cervical carcinoma(p=0.2). 6. The detection rate of HPV DNA in case of serum SCC level under lOng/ml was 100%(17/17), which was higher than those in cases of serum SCC levels of 10ng/ml or more. "The detection rate was significantly decreased as serum SCC became high in level(p=0.012). 7. There was no difference in detection rates of HPV DNA according to tumor size in cervical carcinoma (p=0.743). 8. The reccurrence rate of patients with HPV-16 containing tumors was 28.6%((8/28), which was 3.4 times more than that of patients without HPV-16, but it was not statistically significant(p=0.162). The survival rate of patients with HPV-16 containing tumors was 82.1%, which was not different from from that of patients without HPV-16 containing tumrs(p=0.405). In conclusion, papillomavirus, especially HPV-16, played some role in the development of cervical cancer. There was no association between the HPV infection and the clinical characteristics including prognosis. However, in contrast to other studies, HPV type 18 and 33 were not the common type of HPV. Perhaps more cases should be analyzed.

      • KCI등재

        GraphSAGE with contrastive encoder for efficient fault diagnosis in industrial IoT systems

        Seon Joonho,이성우,Sun Young Ghyu,Kim Soo Hyun,김동인,김진영 한국통신학회 2023 ICT Express Vol.9 No.6

        Imbalanced datasets are common in industrial internet of things (IIoT) systems due to challenges in acquiring faulty labels. Augmentation and graph-based methods have been proposed to improve classification accuracy of deep learning-based systems. However, the conventional approaches can be limited by training complexity and inefficient memory usage. In this paper, GraphSAGE with contrastive encoder (GCE) is proposed to improve classification accuracy and memory utilization efficiency. From the simulation results, it is confirmed that the GCE can improve classification accuracy by up to 23% compared to conventional approaches.

      • SCIESCOPUSKCI등재

        Psychometric Properties of the Korean Version of the Clinical Language Disorder Rating Scale (CLANG)

        Seon-Cheol Park,Eun Young Jang,Kang Uk Lee,Jung Goo Lee,Hwa-Young Lee,Joonho Choi 대한정신약물학회 2016 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.14 No.1

        Objective: Our study aimed to measure inter-rater and test-retest reliability, concurrent and convergent validity, and factor solutions of the Korean version of the Clinical Language Disorder Rating Scale (CLANG). Methods: The Korean version of the CLANG for assessing thought, language, and communication, the Brief Psychiatric Rating Scale, Young Mania Rating Scale, and Calgary Depression Scale for Schizophrenia were used to evaluate language disorder, formal thought disorder, positive and negative symptoms, manic symptoms, and depressive symptoms, respectively, in 167 hospi-talized patients with schizophrenia. The factor solution was obtained by the direct oblimin method. A receiver operating character-istic curve was used to find the optimal cut-off score for discriminating schizophrenia patients with and without disorganized speech. Results: Inter-rater reliability was considered moderate (intraclass coefficient=0.67, F =3.30, p =0.04), and test-retest reliability was considered high ( r =0.94, p <0.001). Five factors, namely, pragmatics, disclosure, production, prosody, and association, were identified. An optimal cut-off score of 7 points with 84.5% sensitivity and 81.7% specificity was proposed for distinguishing schizo-phrenia patients with and without disorganized speech. Conclusion: Our findings suggest that the Korean version of the CLANG is a promising tool for evaluating language disorder in patients with schizophrenia.

      • KCI등재

        Clinical Characteristics and Psychotropic Drug Prescription Patterns of Bipolar Disorder Patients with a History of Suicidal Attempts: Findings from the REAP-BD, Korea

        Seon-Cheol Park,Kiwon Kim,Ok-Jin Jang,Seung-Gon Kim,이정구,Joon Hyuk Park,Joonho Choi,Dong-Woo Lee,Shih-Ku Lin,Chay-Hoon Tan,Naotaka Shinfuku,Yong Chon Park 대한신경정신의학회 2019 PSYCHIATRY INVESTIGATION Vol.16 No.6

        Our study aimed to analyze the clinical characteristics and psychotropic prescription patterns of a history of suicide attempts in South Koreans with bipolar disorder (BD), by using only Korean data from the Research on Asian Psychotropic Prescription Pattern for Bipolar disorder. The patterns of clinical characteristics and psychotropic drug use were compared among 53 patients with a history of suicide attempts and 297 without this history; the potential effects of confounding variables were adjusted with binary logistic analyses for discrete variables and analyses of covariance for continuous variables. After adjusting the effects of age, sex, duration of illness, and enrollment as an outpatient, patients with a history of suicide attempts were characterized by a significantly more prevalent depressive episode, lower prevalent remission state, lower levels of hemoglobin, and more use of antidepressants, anxiolytics, and hypnotics compared to those without lifetime suicide attempt. The inability to plan goal-directed behavior may be an intervening factor in the relationship between suicide attempts and depression in BD. Relatively low hemoglobin levels can be associated with manic episodes in patients with a history of suicide attempts and the use of antidepressants, anxiolytics, or hypnotics can be associated with suicide attempts in BD patients.

      • KCI등재

        가전제품 전력 사용 분류를 위한 장단기 메모리 기반 비침입 부하 모니터링 기법

        경찬욱,선준호,선영규,김진영,Kyeong, Chanuk,Seon, Joonho,Sun, Young-Ghyu,Kim, Jin-Young 한국인터넷방송통신학회 2021 한국인터넷방송통신학회 논문지 Vol.21 No.4

        본 논문은 분산자원 집합 거래시장의 활성화와 에너지 관리의 중요성이 증가되면서 에너지 관리 모니터링 기술로서 합산된 전체 전력으로부터 각각의 가전제품의 전력을 찾아내는 비 침입 부하 모니터 기법을 제안한다. 본 논문에서는 데이터 전처리를 통해 각 가전제품들의 power on-off상태가 나오도록 한다. 이러한 데이터를 LSTM을 모델로 사용하여 각 가전제품들의 power on-off 상태를 예측한다. 예측한 상태들을 데이터 후처리를 한 후, 실제 상태들과 비교하여 정확도를 측정한다. 본 논문에서는 전자제품의 개수, 데이터 후처리 방법과 Time step size를 다르게 하여 정확도를 측정하여 비교한다. 전자 제품의 개수가 6개이고, Round함수로 데이터 후처리 방법을 사용하고, Time step size는 6으로 설정하였을 때, 가장 높은 정확도가 나온 것으로 측정되었다. In this paper, we propose a non-intrusive load monitoring(NILM) system which can find the power of each home appliance from the aggregated total power as the activation in the trading market of the distributed resource and the increasing importance of energy management. We transform the amount of appliances' power into a power on-off state by preprocessing. We use LSTM as a model for predicting states based on these data. Accuracy is measured by comparing predicted states with real ones after postprocessing. In this paper, the accuracy is measured with the different number of electronic products, data postprocessing method, and Time step size. When the number of electronic products is 6, the data postprocessing method using the Round function is used, and Time step size is set to 6, the maximum accuracy can be obtained.

      • KCI등재

        Validity of the Korean Version of the Brief Irritability Test in Psychiatric Patients

        Hyerin Lee,Yongchon Park,Deaho Kim,Joonho Choi,Seon-Cheol Park,Ilbin Kim,Eunkyung Kim 대한신경정신의학회 2024 PSYCHIATRY INVESTIGATION Vol.21 No.4

        Objective This study aimed to investigate the validity and reliability of the Korean version of the Brief Irritability Test (BITe) and adapt it for Korean patients with psychiatric disorders.Methods A total of 296 patients at the Department of Psychiatry of Hanyang University Guri Hospital completed the BITe, Korean Beck Depression Inventory-II, Korean Beck Anxiety Inventory, the Korean version of the State-Trait Anger Expression Inventory, and Barratt Impulsiveness Scale-11. Construct validity was confirmed through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability testing included assessments of internal consistency (Cronbach’s α) and item-total correlations. Convergent validity was examined through correlational analyses with variables such as anxiety, depression, anger, and impulsivity.Results First, the scale had good internal consistency with a Cronbach’s α of 0.88. Second, EFA indicated a single dimensionality of the BITe, and CFA demonstrated a reasonable fit for the single-factor model (comparative fit index=0.97, Tucker-Lewis Index=0.95, normed fit index=0.97, goodness-of-fit index=0.96, root mean square error of approximation=0.12, standardized root mean residual=0.03). Finally, the convergent validity analysis revealed a significant positive correlation with depression, anxiety, and anger, except for anger control, which is a sub-variable of anger.Conclusion The results showed that the Korean version of the BITe had good psychometric properties, and might serve as a valuable tool for assessing irritability in Korean patients with psychiatric disorders.

      • KCI등재

        심층강화학습 기반 분산형 전력 시스템에서의 수요와 공급 예측을 통한 전력 거래시스템

        이승우,선준호,김수현,김진영,Lee, Seongwoo,Seon, Joonho,Kim, Soo-Hyun,Kim, Jin-Young 한국인터넷방송통신학회 2021 한국인터넷방송통신학회 논문지 Vol.21 No.6

        본 논문은 분산형 전력 시스템에서 심층강화학습 기반의 전력 생산 환경 및 수요와 공급을 예측하며 자원 할당 알고리즘을 적용해 전력거래 시스템 연구의 최적화된 결과를 보여준다. 전력 거래시스템에 있어서 기존의 중앙집중식 전력 시스템에서 분산형 전력 시스템으로의 패러다임 변화에 맞추어 전력거래에 있어서 공동의 이익을 추구하며 장기적인 거래의 효율을 증가시키는 전력 거래시스템의 구축을 목표로 한다. 심층강화학습의 현실적인 에너지 모델과 환경을 만들고 학습을 시키기 위해 날씨와 매달의 패턴을 분석하여 데이터를 생성하며 시뮬레이션을 진행하는 데 있어서 가우시안 잡음을 추가해 에너지 시장 모델을 구축하였다. 모의실험 결과 제안된 전력 거래시스템은 서로 협조적이며 공동의 이익을 추구하며 장기적으로 이익을 증가시킨 것을 확인하였다. In this paper, the energy transaction system was optimized by applying a resource allocation algorithm and deep reinforcement learning in the distributed power system. The power demand and supply environment were predicted by deep reinforcement learning. We propose a system that pursues common interests in power trading and increases the efficiency of long-term power transactions in the paradigm shift from conventional centralized to distributed power systems in the power trading system. For a realistic energy simulation model and environment, we construct the energy market by learning weather and monthly patterns adding Gaussian noise. In simulation results, we confirm that the proposed power trading systems are cooperative with each other, seek common interests, and increase profits in the prolonged energy transaction.

      • KCI등재

        A Pilot Study of Brief Eye Movement Desensitization and Reprocessing(EMDR) for Treatment of Acute Phase Schizophrenia

        김대호,최준호,김석현,오동훈,박선철,이선혜,Kim, Daeho,Choi, Joonho,Kim, Seok Hyeon,Oh, Dong Hoon,Park, Seon-Cheol,Lee, Sun Hye The Korean Society of Biological Psychiatry 2010 생물정신의학 Vol.17 No.2

        Objectives : Eye movement desensitization and reprocessing(EMDR) is a novel, time-limited psychotherapy originally developed for treatment of psychological trauma. The effectiveness of this therapy has been validated only for posttraumatic stress disorder ; however, EMDR is often applied to other psychiatric illnesses, including other anxiety disorders and depression. This pilot study tested the efficacy of EMDR added to the routine treatment for individuals with acute stage schizophrenia. Methods : This study was conducted in the acute psychiatric care unit of a university-affiliated training hospital. Inpatients diagnosed with schizophrenia were randomly assigned to either three sessions of EMDR, three sessions of progressive muscle relaxation(PMR) therapy, or only treatment as usual(TAU). All the participants received concurrent typical treatments(TAU), including psychotropic medication, individual supportive psychotherapy and group activities in the psychiatric ward. The Positive and Negative Syndrome Scale(PANSS), the Hamilton Depression Rating Scale and the Hamilton Anxiety Rating Scale were administered by a clinical psychologist who was blinded to the patients' group assignment. Results : Forty-five patients enrolled and forty patients(89%) completed the post-treatment evaluation. There were no between-group differences in the withdrawal rates of patients during the treatment or at the three-month follow-up session. All three groups improved significantly across each of the symptomatic domains including schizophrenia, anxiety, and depressive symptoms. However, a repeated measures ANOVA revealed no significant differences among the groups over time. Effect size for change in total PANSS scores was also similar across treatment conditions, but effect size for negative symptoms was large for EMDR(0.60 for EMDR, 0.39 for PMR and 0.21 for TAU only). Conclusion : These findings supported the use of EMDR in treating the acute stage of schizophrenia but the results failed to confirm the effectiveness of the treatment over the two control conditions in three sessions. Further studies with longer courses of treatment, more focused target dimensions of treatment, and a sample of outpatients are necessary.

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