• Journal of Acupuncture Research
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• v.25 no.2
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• pp.189-197
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• 2008

Objectives : This study was performed in order to investigate the effectiveness of electromyography and the Heart Rate Variability(HRV) test as prognosis factors, and to clarify correlation between Electromyography and the Heart Rate Variability test. Methods : 44 Bell's palsy patients who were graded V on the House-Brackmann scale and underwent HRV and EMG testing were retrospectively reviewed based on medical records. Results from both tests were analyzed via simple linear regression, and bivariate correlation analysis was performed to investigate the correlation between results from the two tests. The severity of the facial palsy at onset and at 2 weeks after treatment were evaluated with the H-B grade and Yanagihara grading system, and was converted into improvement scores. Results : Mean axonal loss according to electromyography showed a statistically significant correlation in predicting peripheral facial palsy improvement(p<0.01). HR, SDNN, TP, LF, HF, VLF, and LF/HF ratio on the Heart Rate Variability test showed no significant correlation in predicting peripheral facial palsy improvement. Mean axonal loss determined by electromyography, and HR, SDNN, TP, LF, HF, VLF, and LF/HF ratio recorded with the Heart Rate Variability test was analyzed with the bivariate correlation analysis method. Mean axonal loss and SDNN showed a statistically significant correlation(p<0.01) Conclusions : The Heart Rate Variability test has no statistical significance in predicting peripheral facial palsy improvement. SDNN has a statistically significant correlation with mean axonal loss as determined by electromyography.

• The Korean Journal of Pain
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• v.13 no.2
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• pp.191-195
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• 2000

Background: Vascular occlusive event is one of the etiologies of sudden sensorineural hearing loss (SNHL). Stellate ganglion block (SGB) induces dramatic and intense vasodilatation in head and neck. Based on this principle, SGB has used as one of the treatment modalities in SNHL. This study was performed to evaluate immediate response of SGB on pure tone audiogram (PTA) in SNHL. Methods: Forty patients were studied. Each patient received daily ipsilateral SGB in paratracheal approach using 0.2% bupivacaine for 2 weeks. On first, third, and fifth day of treatment, we checked their PTA twice 1 hour before (Pre-PTA) and after (Post-PTA) SGB. Pre- and Post-PTA were compared. Several factors were analyzed as a prognostic factor of therapeutic results. Results: Eleven of 40 patients revealed decreased PTA after SGB. Degree of decreased PTA were insignificant ($2.5{\pm}1.6$ dB). Initial and final PTA results was $76.2{\pm}22.5$ and $49.8{\pm}28.3$ dB, respectively. Thirty-one of 40 patients were improved their PTA over 10 dB. The recovery was mainly influenced by the severity of initial hearing loss (P<0.001) and slightly by age (P<0.05). However, the change of PTA after SGB, time interval to receive SGB, sex, site, and number of SGB were not correlated to therapeutic outcome. Conclusions: These results suggest that vasodilatation by SGB has no immediate improvement in SNHL. Therefore, we question whether SGB is beneficial to all patients with SNHL as a therapeutic modality.

• Smart Structures and Systems
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• v.30 no.6
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• pp.673-686
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• 2022

Deep learning algorithms for Structural Health Monitoring (SHM) have been extracting the interest of researchers and engineers. These algorithms commonly used loss functions and evaluation indices like the mean square error (MSE) which were not originally designed for SHM problems. An updated loss function which was specifically constructed for deep-learning-based structural damage detection problems has been proposed in this study. By tuning the coefficients of the loss function, the weights for damage localization and quantification can be adapted to the real situation and the deep learning network can avoid unnecessary iterations on damage localization and focus on the damage severity identification. To prove efficiency of the proposed method, structural damage detection using convolutional neural networks (CNNs) was conducted on a truss bridge model. Results showed that the validation curve with the updated loss function converged faster than the traditional MSE. Data augmentation was conducted to improve the anti-noise ability of the proposed method. For reducing the training time, the normalized modal strain energy change (NMSEC) was extracted, and the principal component analysis (PCA) was adopted for dimension reduction. The results showed that the training time was reduced by 90% and the damage identification accuracy could also have a slight increase. Furthermore, the effect of different modes and elements on the training dataset was also analyzed. The proposed method could greatly improve the performance for structural damage detection on both the training time and detection accuracy.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.591-618
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• 2023

This paper evaluates the performance of various distribution assumptions in regression settings for estimating insurance loss. The gamma distribution is commonly used to handle the asymmetry property of loss distribution. However, recent studies highlight the significance of heavy-tailedness in loss distribution. Through an analysis of real home fire insurance data, we compare the effectiveness of different distribution assumptions in regression methods. Our findings show that the choice of parametric distributional assumption is crucial in determining premiums for various insurance products, including "excess of loss insurance" and "limit insurance". Additionally, we discuss practical considerations for applying our results in home fire insurance.

• The Plant Pathology Journal
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• v.21 no.2
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• pp.87-92
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• 2005

The structural differences between healthy and diseasedpanicle necks caused by Pyricularia oryzae were observed using electron-microscope. In the diseased panicle neck, the infection hyphae of the rice blast pathogen grew through the sclerenchymatous fiber tissue and reached to the central internal lacuna. Since the pathogen grew through the sclerenchymatous fiber tissues, the vascular bundle composed with xylem and phloem had been destroyed and finally the nutrients from the leaf and stem were not able to be transported into the grains. Infection of panicle base by the blast pathogen until 20 days after heading caused more than 50% of yield loss in both Jinmibyeo and Chucheongbyeo. There was a positive correlation between incidence of the panicle blast and rice yield losses. The regression equations between incidence of the panicle blast and yield losses were y= -3.61+496.7 ($R^2$=0.70) in Jinmibyeoand y=-3.93+520.2 ($R^2$=0.82) in Juanbyeo. The panicleblast caused deterioration of grain quality. Healthy grain rate was reduced by increase of panicle blast infection.

• Journal of the Korean Physical Therapy Association
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• v.13 no.1
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• pp.5-17
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• 1992

Depression in Spinal Cord Injury Patients Kang, Soon Hee, M.Ed., R.P.T. Dept. of Rehabilitation Medicine, Kyung-Hee University Medical Center Depressions have the potential to affect adversely the rehabilitation of patients with spi-nal cord iniury. The present study examined depression, functional independence, and demographic and medical characteristics for 49 spinal cord injury(SCI) patients. This investigation involved the administration of the Beck Depression Inventory, the Modified Barthel Index, and aquestionnaire consisted of 14 items, The results were as follows .1. Compared to normal subjects, SCI patients had significantly higher BDI scores.2. When the cut-off point of HDI scores was assumed 21, 26.1% of normal subjeets and 75.5% of SCI patients appeared to be depressed. Depression in SCT patients were not related with age, sex, marital status, injury evel, severity, duration, pain, functional independence and medical charge. Depression in SCI patients were related with education level, economic level, age at injury, motivation. Depression in normal subjects were related with age, education level, economic level, but not related with sex, marital status. There were significant differences at 30 items of BDI between normal subjects and SCI patients. The items were as fellows . 1 sadness, 2 pessimism, 3 failure, 4 dissat-isfaction, 5 guilt, 6 punishment. 7 self-dislike 9 suicidal, 10 crying, 11 irritability, 12withdrawl, 13 indecisive, 14 self-image, IS work inhibition, 16 insomnia, 17 fatigue,18 anorexia, 19 weight loss, 20 hypochondria, 21 libido loss.

• Journal of Korean Clinical Nursing Research
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• v.14 no.1
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• pp.61-70
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• 2008

Purpose: Women with gynecologic cancer often experience various physical and psychological symptoms relating to the cancer and its treatment. The purpose of this study was to identify symptom clusters. Method: A survey was conducted on 184 women with diagnoses of cervical, ovarian or endometrial cancer. Fifty symptoms were assessed for prevalence, severity and interference, and symptom clusters were identified. Cluster analysis was done using SPSS version 12.0. Results: Fatigue was identified as the most prevalent symptom (81.52%), lack of vaginal lubrication (2.26) as the most severe symptom, and lack of vaginal lubrication as the most interfering one (2.15). Identified six clusters were: Anorexia-pain cluster (loss of appetite, taste change, weight loss, appearance change, alopecia, weakness, pain), Fatigue cluster (lack of concentration, lack of memory, fatigue, dry mouth), Urinary-bowel distress cluster (urinary difficulty, constipation), Abdominal discomfort cluster (lower abdominal pain, abdominal pain, bloating), Emotional distress (sadness, anxiety-worry, nervousness, restlessness), and Menopausal cluster (sweating, hot flush, fever). Conclusion: The result of this study provides fundamental data to health care professionals in developing interventions for effective symptom management for women with gynecologic cancer by understanding identified 6 symptom clusters.

• Journal of Ginseng Research
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• v.44 no.1
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• pp.8-13
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• 2020

Atopic dermatitis (AD) is a chronic and relapsing inflammatory disease that affects 1%-20% of people worldwide. Despite affecting many people, AD current treatments, such as corticosteroids and calcineurin inhibitors, have not only harmful secondary effects but are also often ineffective. Therefore, natural nontoxic compounds are on high demand for developing new effective AD treatments. Panax ginseng Meyer has been used traditionally for its promising healing and restorative properties to treat many diseases including skin disorders, reason why in this review we want to explore the research performed with AD and P. ginseng as well as determining its potential for new drug development. Previous researches have shown that P. ginseng has positive effects in AD patients such as lower eczema area and severity index, transepidermal water loss, and immunoglobulin E levels and better quality of sleep. In vivo animal models, as well, have shown positive results to P. ginseng and derived ginsenosides, such as the decrease of transepidermal water loss, immunoglobulin E levels in serum, allergy-related cytokines, and downregulation of NF-κB, MAPK, and Ikaros pathways. All of these previous data suggest that P. ginseng and its derived ginsenosides are undoubtedly a nontoxic effective option to treat AD.

• Journal of Navigation and Port Research
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• v.41 no.5
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• pp.259-268
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• 2017

Formal Safety Assessment (FSA) has been mostly implemented on the hardware aspects of vessels. Although there are guidelines regarding human error FSAs, there have not been many assessments in such areas. To this end, this study seeks to use precedent studies for the safe operation of DP vessels, conducting an FSA regarding human error of DP LOP (Loss of Position) incidents. For this, the study referred to precedent studies for the frequency of DP LOP incidents caused by human errors, adding the severity of LOP incidents, and then applying them to the Bayesian network. As a result, the study was able to confirm that among DP LOP incidents caused by human errors, the drive-off from skill-based errors was 74.3% and the drive-off from unsafe supervision was 50.5%. Based on such results, RCOs (Risk Control Options) were devised through a brainstorming session with experts coming up with proposals including providing mandatory DPO training, installing DP simulator on the vessels, drawing up measures to understanding the procedures for safe operation of DP vessels. Moreover, it was found that mandatory DPO training is reasonable in terms of cost benefits and that while installing a DP simulator is not suitable in terms of cost benefits, it can significantly reduce risks when operating DP vessels.

• Structural Engineering and Mechanics
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• v.82 no.2
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• pp.233-244
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• 2022

Following a loss of control, the impact against a road barrier in a turn predominates among the most severe motorcyclist accidents. These road restraint devices can be equipped with a motorcycle screen, the function of which is to restrain the rider and minimize the consequences of the impact in terms of the severity of injuries. The performance of these screens is evaluated by the European normative procedure EN1317-8, which specifies the test conditions, based on one or two configurations. In practice, however, these impact conditions are very diverse, difficult to extrapolate from accident analysis and therefore poorly investigated. This study is interested in improving knowledge of these impact conditions in terms of impact speed, impact angle and particularly position of the rider. A finite element model has been developed to simulate the dynamic behavior of the rider from loss of control to impact on the screen. Statistical analysis of the results shows a high variability of the impact conditions, in particular with regard to the direction of turn (to the right or to the left). Some improvements are suggested in order to overcome the limitations inherent in standard procedures.