• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.543-551
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• 2021

Objective : Hemorrhagic stroke (HS) and hypertensive retinopathy are known end organ damage of the brain and eye respectively, with HS having deleterious consequence to the patients. This study is to correlate between hypertensive retinopathy and HS in hypertensive disease. Methods : A control group of hypertensive patients only, and an investigated group of hypertensive HS patients. Fundoscopic examination to determine the grade of retinopathy was performed and then divided into low or high severity hypertensive retinopathy. Clinical and radiological parameter included are demography, vital signs, Glasgow coma scale (GCS) on admission, clot volume, site of clot, Intracerebral hemorrhage (ICH) score and Glasgow outcome scale (GOS). Data were correlated with the severity of hypertensive retinopathy. Results : Fifty patient in the control group and 51 patients in the investigated group were recruited. In the hypertensive HS group, 21 had low severity retinopathy (no or mild retinopathy) accounting for 41.2% and 30 patients had high severity (moderate or severe retinopathy). In the hypertensive patients 49 had low severity and one had high severity (p-value of 0.001). In HS group low severity showed better GCS score of 9-15 on admission (p-value of 0.003), clot volume less than 30 mL (p-value 0.001), and also a better 30 days mortality rate by using the ICH score (p-value 0.006), GOS score of 4 and 5 the low severity retinopathy fair better than the high severity retinopathy (p-value of 0.001), and the relative risk to develop HS in low severity and high severity retinopathy was 0.42 and 29.4, respectively. Conclusion : Hypertensive retinopathy screening could be used as an indicator in hypertensive patient, to evaluate the risk of developing hypertensive HS in the future.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.6
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• pp.1034-1040
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• 2010

This paper presents a calculation method of the area of severity for the stochastic assessment of voltage sags. In general, the annual expected numbers of voltage sags at an individual load point can be estimated stochastically. However, in order to assess the system voltage sag performance considering many sensitive load points together, it is necessary to determine and analysis the area of severity for the load points. The area of severity to voltage sags is the network region where the fault occurrences will simultaneously lead to voltage sags at different load points. In this paper, the concept of the voltage sag assessment and the calculation method of the area of severity are addressed. The analysis of the area of severity is performed on the IEEE 30-bus test system by using the proposed method. The method is useful for the stochastic assesment of voltage sags and the establishment of systematic plans for voltage sag mitigation.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.11
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• pp.1641-1646
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• 2017

This paper presents a fast method to identify an area of severity which is a network area leading to voltage sags at multiple sensitive load points, simultaneously. To assess voltage sag performance considering various sensitive loads, it is need to determine an area of severity for the load points. The area of severity can be calculated by overlapping areas of vulnerability for each sensitive load. However, as the number of sensitive loads increases, computational complexity and time for determining an area of severity are highly increased. In this paper, an efficient scheme based on line division is described. The proposed method is useful for identifying an area of severity and assessing voltage sag performance considering multiple loads together.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.81-86
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• 2018

Software defect severity is very important in projects with limited historical data or new projects. But general software defect prediction is very difficult to collect the label information of the training set and cross-project defect prediction must have a lot of data. In this paper, an unclassified data set with defect severity is clustered according to the distribution ratio. And defect severity-based prediction model is proposed by way of labeling. Proposed model is applied CLAMI in JM1, PC4 with the least ambiguity of defect severity-based NASA dataset. And it is evaluated the value of ACC compared to original data. In this study experiment result, proposed model is improved JM1 0.15 (15%), PC4 0.12(12%) than existing defect severity-based prediction models.

• International Journal of Industrial Entomology and Biomaterials
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• v.6 no.2
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• pp.163-169
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• 2003

Studies were conducted on the effect of pruning time, host age, conidial dispersal and weather parameters on the incidence and severity of mulberry leaf spot (Myrothecium roridum). The disease severity (%) increased with increase in shoot age irrespective of pruning date. Maximum disease severity was observed in plants pruned during first week of April and minimum disease severity in plants pruned during first week of March. Significant (P ＜ 0.01) influence of date of pruning, shoot age and their interaction was observed on severity of the disease. Apparent infection rate (r) was significantly higher during the plant growth period from day 48 to day 55. Average apparent yale was higher in plants pruned during first week of April and least in plants pruned during first week of July. The disease infection was negatively correlated to distance from the inoculum source. Leaf spot severity (%) was influenced by weather parameters. Multiple regression analysis revealed contribution of various combinations of weather parameters on the disease severity. Linear prediction model $(Y ＝ －81.803＋1.176x_2＋0.765x_3) with significant $R^2$ was developed for prediction of the disease under natural epiphytotic condition.

• Journal of Korean Biological Nursing Science
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• v.17 no.4
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• pp.297-305
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• 2015

Purpose: The purpose of this study was to investigate eating habits and the frequency of trigger-food consumption in patients with irritable bowel syndrome (IBS) and to examine the associations of these variables with IBS symptom severity. Methods: We included 145 ROME III-positive IBS patients (mean age 31.2 years, 73.8% of female). Subjects completed an eating-habits and food-consumption questionnaire, IBS-Symptom Severity Scale (IBS-SSS) and Brief Symptom Inventory-18 (BSI-18) for psychological distress. Results: Subjects with unhealthy eating-habits such as irregular meal times, frequently eating out and overeating tended to show higher IBS symptom severity. The severity of IBS symptoms related to the frequency of the consumption of trigger foods. Subjects who ate trigger-foods (i.e., tofu, beans, almonds, and peanuts) less frequently showed higher IBS symptom severity (p=.045, .042, .016, and .019, respectively). However, subjects who ate spicy foods, instant foods, and noodles more frequently experienced more severe IBS symptoms (p=.018, .011, and .023 respectively). Conclusion: This study showed that IBS symptom severity was related to meal intake patterns and frequency of trigger food consumption. These findings could provide a basis for developing an intervention program for IBS patients.

• Journal of Auto-vehicle Safety Association
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• v.13 no.3
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• pp.69-77
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• 2021

Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

• Archives of Craniofacial Surgery
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• v.21 no.5
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• pp.294-300
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• 2020

Background: Mandibular fractures are one of the most common types of facial fractures, the treatment of which can be delayed due to the severity of the trauma resulting in an increase of complications; thus, early evaluation of trauma severity at the time of visit is important. In South Korea, trauma patients are triaged and intensively treated in designated regional trauma centers. This study aimed to analyze the relationship between trauma severity and mandibular fracture patterns. Methods: A medical records review was performed on patients who visited the regional trauma center at our hospital for mandibular fracture between 2009 and 2018. Epidemiologic data and mandibular fracture patterns were analyzed and compared with the conventional facial injury severity scale (FISS). Results: Among 73 patients, 51 were classified as non-severe trauma patients and 22 as severe trauma patients. A higher trauma severity was associated with older age (odds ratio [OR], 1.164; 95% confidence interval [CI], 1.057-1.404) and lower risk was associated with fractures located in the angle (OR, 0.001; 95% CI, 0-0.022), condylar process (OR, 0.001; 95% CI, 0-0.28), and coronoid process (OR, 0.004; 95% CI, 0-0.985). The risk was lower when the injury mechanism was a pedestrian traffic accident (OR, 0.004; 95% CI, 0-0.417) or fall (OR, 0.004; 95% CI, 0-0.663) compared with an in-car traffic accident. Higher FISS (OR, 1.503; 95% CI, 1.155-2.049) was associated with a higher trauma severity. The proposed model was found to predict the trauma severity better than the model using FISS (p< 0.001). Conclusion: Age, location of mandibular fractures, and injury mechanism showed significant relationships with the trauma severity. Epidemiologic data and patterns of mandibular fractures could predict the trauma severity better than FISS.

• Korean Journal of Community Nutrition
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• v.15 no.6
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• pp.776-782
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• 2010

The prevalence of atopic dermatitis (AD) has increased over the past decades. A variety of factors are related to the development of atopic dermatitis, including genetics and environmental factors. The purpose of the study was to examine factors associated with severity of atopic dermatitis in 104 children aged 6-60 months. To investigate the association between severity and other factors children were divided into two groups, mild (n = 62) and severe (n = 42) groups, based on SCORAD index which measures the severity of atopic dermatitis. Results showed that family history, family's smoking, period of having AD and the levels of the serum total IgE were significantly higher in severe group. More than 6 months of breastfeeding and weaning after 6 month were not associated with severity of AD, but the number of food eliminated was associated with severity. Only vitamin C intake was significantly different by severity after adjusting for energy intake, family history, family’s smoking and period of having AD (p = 0.033). There was no association between the severity of atopic dermatitis and growth of children. This study concluded that the severity of atopic dermatitis was associated with family history, family’s smoking, period of having AD, children's serum total IgE, and vitamin C intakes. The result of this study should provide the significant information for better management of AD.

• Korean Journal of Cognitive Science
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• v.32 no.4
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• pp.169-191
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• 2021

With the development of artificial intelligence(AI), the jobs of many human experts are threatened, and this also applies to the legal profession. This study attempted to investigate whether AI can actually replace humans in the legal profession, especially the role of judges making final judgments. For this purpose, from the perspective of uniqueness neglect, this study was conducted to confirm the effect of involvement and the severity on acceptance of the judgment made by the AI judge (Experiment 1) and the AI jury (Experiment 2). The involvement was manipulated as if the subject who was sentenced for committing a crime was his or her family (mother, father) or stranger, and the severity was manipulated by the extent of the damage, the perception of the crime, and the number of applied crimes. In Experiment 1, the interactive effect of involvement and severity was found. Specifically, when the involvement was low, the acceptance of AI judges was higher in high severity (vs. low severity). Conversely, when the involvement was high, the acceptance of AI judges was higher in low severity (vs. high severity). The same interactions as in Experiment 1 occurred in Experiment 2. Specifically, when the involvement was low, a larger number of AI jury members were allocated in high severity (vs. low severity). On the other hand, when the involvement was high, the number of AI juries increased in low severity (vs. high severity). This study has implications in that it is the first experimental study in Korea on artificial intelligence legal judgment and that it presents the prospects for the jobs of legal experts.