• Journal of The Korean Society of Integrative Medicine
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• v.4 no.2
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• pp.97-107
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• 2016

Purpose : Cardiovascular disease is major factor of mortality in worldwide. Previous studies shown that the socioeconomic factors, nutrition factors, health behavior factors, biological factors and co-morbidity are increasing a prevalence of cardiovascular disease. Method : This study examined the risk factors for cardiovascular disease among adults aged 30 years and older using the data from the 2012 to 2014 Korean National Health and Nutrition Examination Survey (KNHANES). The study participants were 7,555 Cardiovascular disease includes hypertension, stroke, angina pactoris, and myocardial infarction. Descriptive statistic and multivariates logistic regression were calculated. Result : The overall prevalence of cardiovascular disease was 31.16% in the participants. Cardiovascular disease was significantly associated with gender, age, income, education, marital status as socioeconomic factors in unadjusted model. After adjusting socioeconomic status variables, past smoker (OR 1.27, 95% CI 1.05-1.55), obesity (OR 7.14, 95% CI 4.21-12.11), skipping a meal (OR 2.79, 95% CI 2.46-3.16), HDL-C (OR 0.99, 95% CI 0.98-0.99) and WC (OR 1.06, 95% CI 1.05-1.07) were associated with cardiovascular disease. Conclusion : The results marked the importance of finding high risk groups and an early management of cardiovascular disease.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.4
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• pp.791-798
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• 2024

The purpose of this study is to diagnose diseases in pepper crops using YOLOv8, ResNet50, and Faster R-CNN models and compare their performance. The first model utilizes YOLOv8 for disease diagnosis, the second model uses ResNet50 alone, the third model combines YOLOv8 and ResNet50, and the fourth model uses Faster R-CNN. The performance of each model was evaluated using metrics such as accuracy, precision, recall, and F1-Score. The results show that the combined YOLOv8 and ResNet50 model achieved the highest performance, while the YOLOv8 standalone model also demonstrated high performance.

• Journal of Oriental Neuropsychiatry
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• v.35 no.2
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• pp.191-203
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• 2024

Objectives: To evaluate the effectiveness of an integrated medical service model for a fibromyalgia patient and their caregiver, focusing on reducing pain and improving quality of life. Methods: A single-case study design was employed, involving a fibromyalgia patient and their primary caregiver treated at W University Hospital. The integrated medical service program, based on the Ministry of Health and Welfare's model, included medical consultations and complementary therapies such as psychological counseling, art therapy, music therapy, horticultural therapy, yoga, and meditation. The program was conducted weekly for 8 weeks, with each session lasting up to 100 minutes. Data collection involved both quantitative and qualitative assessments. Quantitative data included demographic surveys, psychological tests, health-related quality of life measures, pain indices, and sleep quality indices. Qualitative data were gathered through feedback evaluations and emotional assessments. Results: The patient showed improvements in mobility, self-care, daily activities, and anxiety/depression, with EQ-VAS scores increasing from 20 to 40 and pain perception decreasing from 67.41 to 42.58. The caregiver reported reduced anxiety/depression and an increase in EQ-VAS scores from 95 to 98. Both patient and caregiver exhibited emotional changes, with decreased depression and increased happiness. However, the patient showed an increase in fear and anger. Conclusions: The integrated medical service model positively impacted the emotional and psychological well-being of the fibromyalgia patient and their caregiver. Despite the limitations of a small sample size and a single-case study design, the findings suggest that an integrated approach can be beneficial. Larger-scale studies are needed to confirm and generalize these results.

• Journal of Korean Neurosurgical Society
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• v.67 no.5
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• pp.510-520
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• 2024

Objective : Parkinson's disease (PD) is one of the most prevalent neurodegenerative diseases, characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta. The treatment of PD aims to alleviate motor symptoms by replacing the reduced endogenous dopamine. Currently, there are no disease-modifying agents for the treatment of PD. Zebrafish (Danio rerio) have emerged as an effective tool for new drug discovery and screening in the age of translational research. The neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) is known to cause a similar loss of dopaminergic neurons in the human midbrain, with corresponding Parkinsonian symptoms. L-type calcium channels (LTCCs) have been implicated in the generation of mitochondrial oxidative stress, which underlies the pathogenesis of PD. Therefore, we investigated the neuro-restorative effect of LTCC inhibition in an MPTP-induced zebrafish PD model and suggested a possible drug candidate that might modify the progression of PD. Methods : All experiments were conducted using a line of transgenic zebrafish, Tg(dat:EGFP), in which green fluorescent protein (GFP) is expressed in dopaminergic neurons. The experimental groups were exposed to 500 μmol MPTP from 1 to 3 days post fertilization (dpf). The drug candidates : levodopa 1 mmol, nifedipine 10 μmol, nimodipine 3.5 μmol, diethylstilbestrol 0.3 μmol, luteolin 100 μmol, and calcitriol 0.25 μmol were exposed from 3 to 5 dpf. Locomotor activity was assessed by automated tracking and dopaminergic neurons were visualized in vivo by confocal microscopy. Results : Levodopa, nimodipine, diethylstilbestrol, and calcitriol had significant positive effects on the restoration of motor behavior, which was damaged by MPTP. Nimodipine and calcitriol have significant positive effects on the restoration of dopaminergic neurons, which were reduced by MPTP. Through locomotor analysis and dopaminergic neuron quantification, we identified the neuro-restorative effects of nimodipine and calcitriol in zebrafish MPTP-induced PD model. Conclusion : The present study identified the neuro-restorative effects of nimodipine and calcitriol in an MPTP-induced zebrafish model of PD. They restored dopaminergic neurons which were damaged due to the effects of MPTP and normalized the locomotor activity. LTCCs have potential pathological roles in neurodevelopmental and neurodegenerative disorders. Zebrafish are highly amenable to high-throughput drug screening and might, therefore, be a useful tool to work towards the identification of disease-modifying treatment for PD. Further studies including zebrafish genetic models to elucidate the mechanism of action of the disease-modifying candidate by investigating Ca2+ influx and mitochondrial function in dopaminergic neurons, are needed to reveal the pathogenesis of PD and develop disease-modifying treatments for PD.

• Journal of Microbiology and Biotechnology
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• v.28 no.12
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• pp.2095-2105
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• 2018

In our previous studies, we have identified several in vivo-induced antigens and evaluated their potential as subunit vaccine candidates in a murine model, in which the recombinant protein GalT showed the most potent immunogenicity and immunoprotective efficacy against Actinobacillus pleuropneumoniae. To exploit a more efficient way of delivering GalT proteins, in this study, we employed the widely studied E. coli outer membrane vesicles (OMVs) as a platform to deliver GalT protein and performed the vaccine trial using the recombinant GalT-OMVs in the murine model. Results revealed that GalT-OMVs could elicit a highly-specific, IgG antibody titer that was comparable with the adjuvant GalT group. Significantly higher lymphocyte proliferation and cytokines secretion levels were observed in the GalT-OMVs group. 87.5% and 50% of mice were protected from a lethal dose challenge using A. pleuropneumoniae in active or passive immunization, respectively. Histopathologic and immunohistochemical analyses showed remarkably reduced pathological changes and infiltration of neutrophils in the lungs of mice immunized with GalT-OMVs after the challenge. Taken together, these findings confirm that OMVs can be used as a platform to deliver GalT protein and enhance its immunogenicity to induce both humoral and cellular immune responses in mice.

• Korean Journal of Pharmacognosy
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• v.37 no.4 s.147
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• pp.314-319
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• 2006

This research was investigated the effect of the Ginseng Radix plus Crataegi Fructus (Gin-CF) on Alzheimer's disease. Specifically, the effects of the Gin-CF extract on $IL-1\beta,\;TNF-\alpha$ of BV2 microglia cell line treated with LPS. The Gin-CF extract suppressed the over-expression of $IL-1\beta$ protein, $TNF-\alpha$ protein, MDA, and CD68/CD11b, in the mice with Alzheimer's disease induced by ${\beta}A$. These results suggest that the Gin-CF extract may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the Gin-CF extract for Alzheimer's disease is suggested for future research.

• Journal of Korean Neurosurgical Society
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• v.57 no.6
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• pp.428-431
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• 2015

Various approaches have been attempted in translational moyamoya disease research. One promising material for modeling and treating this disease is vascular progenitor cells, which can be acquired and expanded from patient peripheral blood. These cells may provide a novel experimental model and enable us to obtain insights regarding moyamoya disease pathogenesis. We briefly present the recent accomplishments in regard to the studies of vascular progenitor cells in moyamoya disease.

• The Korea Journal of Herbology
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• v.22 no.1
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• pp.41-48
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• 2007

Objectives : This research was investigated the effect of the Ginseng Radix plus Chaenomelis Fructus on Alzheimer's disease. Methods : Specifically, the effects of the Ginseng Radix plus Chaenomelis Fructus extract on $IL-1{\beta}$, $TNF-{\alpha}$ of BV2 microglia cell line treated with lipopolysacchride. Results : The Ginseng Radix plus Chaenomclis Fructus extract suppressed the over-expression of $IL-1{\beta}$ protein, $TNF-{\alpha}$ protein, MDA, and CD68/CD11b, in the mice with Alzheimer's disease induced by ${\beta}$ amyloid peptide. Conclusion: These results suggest that the Ginseng Radix plus Chaenomelis Fructus extract may be effective for the prevention and treatment of Alzheimer's disease. Investigation into the clinical use of the Ginseng Radix plus Chaenomelis Fructus extract for Alzheimer's disease is suggested for future research.

• The Journal of Korean Medicine
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• v.23 no.4
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• pp.91-97
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• 2002

Objective: This study was conducted to know the survival probability of the patients with cerebrovascular disease. Method: 1,341 patients who were suspected of having cerebrovascular disease clinically were investigated by telephone and NHIC (National Health Insurance Corporation) data. Conclusion: 1. The study population was grouped as 'Negative Brain CT findings' (11.8%), 'Hemorrhage' (12.4%) and 'Infarction' (75.7%). 2. The survival probabilities calculated by the Life Table method were statistically significant among brain CT finding groups (P<0.01). 3. The mean survival time calculated by the Kaplan-Meier method were also statistically significant among brain CT finding groups (P<0.01). 4. The result of Cox regression model was that sex (OR=0.7), age (OR=1.07), diabetes mellitus (OR=1.38), and heart disease (OR=1.69) affected the survival of the patients with cerebrovascular disease.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.6
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• pp.285-292
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• 2023

With the wide spread of smart farms and the advancements in IoT technology, it is easy to obtain additional data in addition to crop images. Consequently, deep learning-based crop disease diagnosis research utilizing multimodal data has become important. This study proposes a crop disease diagnosis method using multimodal supervised contrastive learning by expanding upon the multimodal self-supervised learning. RandAugment method was used to augment crop image and time series of environment data. These augmented data passed through encoder and projection head for each modality, yielding low-dimensional features. Subsequently, the proposed multimodal supervised contrastive loss helped features from the same class get closer while pushing apart those from different classes. Following this, the pretrained model was fine-tuned for crop disease diagnosis. The visualization of t-SNE result and comparative assessments of crop disease diagnosis performance substantiate that the proposed method has superior performance than multimodal self-supervised learning.