• Korean Journal of Psychosomatic Medicine
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• v.23 no.1
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• pp.3-11
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• 2015

Objectives:To determine the influence of parental behaviors on the onset and severity of eating disorders, this study compared aspects of perceived parental styles, according to eating disorder subtypes and age at onset in Korean women with eating disorders. Methods:One hundred and sixty-seven patients with eating disorders[Anorexia Nervosa (AN), N=49; Bulimia Nervosa(BN), N=118] were recruited for this study. Perceived parent behaviors were assessed with Parental Behavior Inventory(PBI) self-rating scale. The study subjects also completed the Eating Disorder Inventory -2 (EDI-2) to assess the severity of eating disorder symptoms. Results:In anorexia nervosa, early onset group(<16 years) reported low paternal affection and high paternal rational expression, low maternal interference than group with age at onset over 16 years. The severity of eating disorder symptoms was negatively associated with mother affection and rational expression in two subtypes of eating disorder(AN and BN). On stepwise regression analysis, paternal affection and maternal over-protection were associated with age of onset only in AN group and maternal affection was associated with the severity of symptoms in both groups of eating disorder. Conclusions:Considering the role of family function and perceived parental styles could help improve the management of eating disorders. These results emphasize the importance of fathers' role in the eating disorder on the age of onset, a relatively unexplored area of eating disorder research. Also, we investigated the importance of mothers' affection on the severity of symptoms.

• Korean Journal of Psychosomatic Medicine
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• v.31 no.2
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• pp.108-117
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• 2023

Objectives : Somatic symptom disorder (SSD) is characterized by the manifestation of a variety of physical symptoms, but little is known about differences in autonomic nervous system activity according to symptom severity, especially within patient groups. In this study, we examined differences in heart rate variability (HRV) across symptom severity in a group of SSD patients to analyze a representative marker of autonomic nervous system changes by symptoms severity. Methods : Medical records were retrospectively reviewed for patients who were diagnosed with SSD based on DSM-5 from September 18, 2020 to October 29, 2021. We applied inverse probability of treatment weighting (IPTW) methods to generate more homogeneous comparisons in HRV parameters by correcting for selection biases due to sociodemographic and clinical characteristic differences between groups. Results : There were statistically significant correlations between the somatic symptom severity and LF (nu), HF (nu), LF/HF, as well as SD1/SD2 and Alpha1/Alpha2. After IPTW estimation, the mild to moderate group was corrected to 27 (53.0%) and the severe group to 24 (47.0%), and homogeneity was achieved as the differences in demographic and clinical characteristics were not significant. The analysis of inverse probability weighted regression adjustment model showed that the severe group was associated with significantly lower RMSSD (β=-0.70, p=0.003) and pNN20 (β=-1.04, p=0.019) in the time domain and higher LF (nu) (β=0.29, p<0.001), lower HF (nu) (β=-0.29, p<0.001), higher LF/HF (β=1.41, p=0.001), and in the nonlinear domain, significant differences were tested for SampEn15 (β=-0.35, p=0.014), SD1/SD2 (β=-0.68, p<0.001), and Alpha1/Alpha2 (ß=0.43, p=0.001). Conclusions : These results suggest that differences in HRV parameters by SSD severity were showed in the time, frequency and nonlinear domains, specific parameters demonstrating significantly higher sympathetic nerve activity and reduced ability of the parasympathetic nervous system in SSD patients with severe symptoms.

• Journal of Korean Society of Transportation
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• v.17 no.4
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• pp.9-17
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• 1999

교통문제는 과거에 비하여 보다 복잡해지고 다양해지고 있으며, 이러한 교통문제를 해결하기 위한 방안을 도출하는 분석기법 또한 다양해지고 있다. 이러한 기법중 안전도 평가기법에 관한 연구는 선진국에서는 1970년대부터 진행되어 왔으나, 이에 반하여 국내에서는 최근에서야 안전도에 대한 문제가 부각되면서 이에 대한 연구가 시작되고 있는 실정이다. 본 논문은 국내 외 연구사례를 중심으로 교통상충기법(TCT)을 소개하였고, 가장 진보된 방법인 스웨덴의 상충분석기법을 기반으로 국내에 적용할 수 있도록 모형을 개발하고 심각한 정도에 따라 4개 죤으로 분류하여 위험순위를 평가할 수 있는 방법을 제시하였으며, 실제로 이러한 상충분석기법을 국내의 3개 교차로 분석에 적용하여 보았다. 사고와 상충간의 conversion factor는 수집된 자료의 부족으로 사고자료의 심각도까지는 고려하지 못하였으 나, TA값을 구하고 4개죤 분류를 통하여 위험순위를 분석하여 교차로의 안전도평가에 이용할 수 있음은 보여주었다. 상충조사 분석은 안전도 평가를 저 비용과 짧은 시간내에 보다 상세한 결과를 도출할 수 있다는 점과 대상지의 사전 후 단기간 평가 방법에 가장 효과적인 기법이라는 측면에서 국내 안전도 평가에 많이 적용되기를 바란다.

• Korean Journal of Psychosomatic Medicine
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• v.18 no.2
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• pp.82-93
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• 2010

Objectives : The purpose of this study was to explore attitude and belief about menopause and severity of menopausal symptoms according to menopausal status. This study conducted a cross-sectional assessment of the effects of depressive symptoms and the severity of trait anxiety on the severity of menopausal symptoms. Methods : Participants were all outpatients at the psychiatric outpatient clinic of Korea University Guro Hospital. All participants, aged 40 to 64, had depressive or anxiety disorders and were divided into the premenopause, perimenopause, premenopause, and postmenopause groups. Menopause Rating Scale(MRS) was used to measure the severity of menopausal symptoms. The attitude toward menopause was examined by a self-report questionnaire regarding menopause. Beck Depression Inventory(BDI) and State-Trait Anxiety Inventory(STAI) were used to assess depressive symptoms and anxiety. Results : The severity of menopausal symptoms was not different among the groups according to menopausal status. There was a significant correlation between a negative attitude toward menopause and the severity of menopausal symptoms. Patients with moderate to severe depressive symptoms and trait anxiety had more severe menopausal symptoms. Conclusion : Negative attitude toward menopause, depressive symptoms, and anxiety had a significantly negative impact on the severity of menopausal symptoms. The results of this study suggest that treatment to relieve depressive symptoms and anxiety and intervention to reduce negative attitude toward menopause are required. Further studies with larger sample size are needed to evaluate potentially effects of depressive symptoms and anxiety on severity of menopausal symptoms in middle-aged female psychiatric patients.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.90-94
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• 2002

이전연구에서 가상현실에 몰입하는 동안 넓은 시야 (Field of view: 150$^{\circ}$)와 빠른 운행속도 (70 km/sec)가 사이버멀미를 심화시킨다는 결과를 얻었다: 피험자의 90%가 좁은 시야 (50$^{\circ}$)와 느린 운행속도 (30 km/sec)에서 사이버멀미 증상이 적었다. 본 실험에서는 피험자가 생리적인 동요를 경험할 때마다 바이오피드백 방법을 사용해서 사이버멀미 감소 가상환경 (cybersickness alleviating virtual environment, CAVE)을 제시한 후, 그 효과를 관찰하였다. 피부전도도, 말초체온, 말초혈류량, 심박률, 눈 깜박임, 뇌전위의 변수들을 입력으로 하는 인공신경망으로 구성된 실시간 멀미 탐지 시스템과 CAVE-제시 피드백 시스템을 구축하였다. 이 시스템은 생리적 측정치들이 사이버멀미의 출현을 신호할 때마다 피드백 출력으로 좁은 화면과 감소된 운행속도를 일시적으로 제공했다. 36명의 피험자를 대상으로 SSQ (simulator sickness questionnaires)와 자기보고를 이용하여 사이버멀미의 빈도와 심각도를 조사하였다. 모든 피험자는 한달 간격으로 CAVE 조건과 non-CAVE 조건에서 두 번 가상현실을 경험하였다. 사이버멀미의 빈도와 심각도는 non-CAVE 조건보다 CAVE 조건에서 유의미하게 감소하였다. 즉, 전기생리학적 특징들에 기반한 인공신경망에 의해 제공된 좁은 시야와 느린 운행의 가상환경은 사이버멀미 증상들을 의미있게 감소시켰다. 이러한 결과들은 생체신호 피드백 시스템을 이용하여 인간 친화적 가상환경을 구축할 수 있는 가능성을 보인 것이다.

• Clean Technology
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• v.5 no.2
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• pp.13-23
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• 1999

The unique method for evaluating the environmental impact, which is restricted to use in BS7750, was performed to determine the priority for reducing environmental loads in the cement process. Mass balance in the unit process was achieved, it was utilized to introduce the matrix method which are composed of two different evaluation's criteria by occurrence possibility and by occurrence results. The purpose of this paper is first to explain the matrix method in the practical plant and secondly to show the successful examples of enviromental improvement. Conclusively, the seriousness of environmental impact could be quantified in several different unit processes and suggested some progressive results obtained after process improvement.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.295-295
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• 2022

강우 변동성과 기온의 증가 추세로 전 세계 여러 지역에서 가뭄의 빈도, 지속기간, 심각도, 영향면적이 증가하고 있다. 기후변화로 인한 극심한 가뭄은 담수 생태계에 심각한 결과를 가져올 수 있으며, 이는 중대한 사회적 경제적 영향을 미칠 수 있다. 본 연구에서는 낙동강 수질오염총량관리 단위유역에서 기상학적 가뭄 발생 시 하천 수생태계가 받는 수질 스트레스 위험도가 식별된다. 기상학적 가뭄은 표준강수지수(SPI)로 한정되며 하천 수질은 BOD로 한정되어 분석이 수행된다. 또한, 본 연구에서는 하천의 수질 스트레스를 식별하기 위하여 가뭄 시 환경영향 지수인 Environmental Drought Condition Index-water quality(EDCI-wq)를 제안한다. EDCI-wq는 기상학적 가뭄이 발생하였을 때 수생태계가 평상시 대비 스트레스를 받을 가능성을 표현한 지수이다. 최종적으로 산정된 EDCI-wq를 기반으로 하천 구간별로 관심, 주의, 경계, 심각 단계 구분 기준을 마련하여 기상학적 가뭄 발생 시 하천 수생태계가 받는 수질 스트레스를 단계적으로 식별할 수 있는 수질 스트레스 위험도 지도가 작성된다.

• Journal of the Korean Society for Railway
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• v.10 no.6
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• pp.678-684
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• 2007

This research has defined the factors of noise in cars during subway train services, which is surfacing as a new environmental trouble. It shows additional accomplishment of a discerning analysis on the standard of noise regulation as well as its seriousness. According to the Enforcement Regulations for Noise and Vibration under the Ministry of Environment and its standard noise regulation figure 70dB, we divided two groups of which train noise figures are over and under 70dB respectively, and used their 359 results about noise, geometric structures and operation elements, for this analysis. The results and suggestions are following. First of all, when we discern the seriousness of noise in a train, the track type has mattered in geometric structure and the velocity in operation elements. Therefore, when we construct subway from now on, we should take the track type in consideration and establish plans to keep proper speed in respect of operation. Secondly, the established discernment model in this research can be used in making alternative plans or improvement of subway trains hereafter, showing relatively high accuracy of estimation. Consequently, the readjustment of geometric structure and operation elements is needed, not to make it over the regulation standard of noise in case the noise in train is serious. The discriminant model of this research can be used as elementary material for comfortable and safe subway trains, making the estimation of noise seriousness possible.

• Journal of Veterinary Clinics
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• v.27 no.6
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• pp.686-692
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• 2010

Computed tomography (CT) is considered as gold standard in evaluating pancreatitis in human, but there have been only a few studies in veterinary field. Balthazar CT severity index (CTSI) used to assess the severity of acute necrotizing pancreatitis in human could be applicable to dogs, because the severity of acute pancreatitis depends on the area of pancreatic necrosis in dogs more than in human. In this study, 25 adult, clinically healthy beagle dogs were used. CT examinations was performed in normal pancreas, positive control group and acute necrotizing pancreatitis induced by autologous bile injection. Balthazar CTSI was applied to canine acute necrotizing pancreatitis in contrastenhanced CT image and compared with the result of histopathologic examination. The Hounsfield unit (HU) of normal canine pancreas was $52.44{\pm}4.58$ and the density was significantly decreased in acute necrotizing pancreatitis (P < .05). In contrast-enhanced CT examination, pancreatic density was decreased significantly and this area was compatible to pancreatic necrosis. Balthazar CTSI showed positive correlation with histopathologic evaluation with a sensitivity of 100% and a specificity of 88.89%. Balthazar CTSI can be applied to evaluate the severity of acute necrotizing pancreatitis in dogs.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.25-31
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• 2021

Moving toward an aged society, traffic accidents involving elderly drivers have also attracted broader public attention. A rapid increase of senior involvement in crashes calls for developing appropriate crash-severity prediction models specific to senior drivers. In that regard, this study leverages machine learning (ML) algorithms so as to predict the severity of vehicle-pedestrian collisions induced by elderly drivers. Specifically, four ML algorithms (i.e., Logistic model, K-nearest Neighbor (KNN), Random Forest (RF), and Support Vector Machine (SVM)) have been developed and compared. Our results show that Logistic model and SVM have outperformed their rivals in terms of the overall prediction accuracy, while precision measure exhibits in favor of RF. We also clarify that driver education and technology development would be effective countermeasures against severity risks of senior driver-induced collisions. These allow us to support informed decision making for policymakers to enhance public safety.