• Transactions of the Korean Society of Machine Tool Engineers
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• v.16 no.3
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• pp.56-63
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• 2007

Modern diesel vehicle has to comply with the EURO IV, V regulation with low level of particulate matter and smoke emission Moreover, emission standards of each countries are becoming stringent in advanced countries such as USA and Europe. Because Bio-diesel is similar to diesel fuel, it is essential to judge the environmental and health effects deriving from the use of Bio-diesel in diesel engine. The deterioration characteristics of emission in accordance with aging vehicles must be regulated for Bio-diesel. Therefore, under 1200 driving hours, 220,000km driving distance condition and full load, the deterioration characteristics of emission were estimated. We could reduce sulfur contents of fuel, particulate matter and smoke emission by using Bio-diesel and conform the influence of engine performance, emission, and fuel consumption by Bio-diesel deterioration

• Korean Journal of Acupuncture
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• v.29 no.1
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• pp.71-81
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• 2012

Objectives : The purpose of this paper was to suggest new diagnostic method that was to supersede the estimation of electrical properties at acupoints. Thus, we developed the multi- frequencies bioelectrical impedance measurement system so as to analyze the state of bio-ions in body fluid as body compositions, not skin impedance at acupoint. Methods : At low frequency, the current does not penetrate the cell membrane and at high frequency, the current passes through both intracellular and extracellular fluid because of the decreas of cell membrane impedance. To confirm the reflection of composition in extracellular fluid or intracellular fluid of segment such as acupoint, the system was developed to detect the acupoint potential between adjacent two points in the area of LU3, LU4 and LU9 using 5,50 and 200KHz. Results : The detected acupoint potential has been decreased according to elevation of frequency. As a result of correlation of left/right identical acupoint, we observed a high correlation of three types of acupoint potential at multi-frequencies. Moreover, we observed the low correlation at 5KHz, and that was a significant factor to be considered as unbalanced relationship of identical acupoints. Conclusions : On the basis of meridian theoretical point of view, we may infer the acupoint's physiological composition using the multi-frequencies bioelectrical impedance measurement system.

• Journal of Environmental Health Sciences
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• v.47 no.3
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• pp.205-226
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• 2021

Objectives: Biomonitoring programs have been widely implemented in the field of environmental health, both in Korea and worldwide. Recently, it has been suggested that the storage, management, and utilization of biosamples collected from biomonitoring programs should be organized based on a biobank system. Therefore, we attempted to review the current status of representative biomonitoring programs and biobank systems that have been implemented in Korea and in other countries. Methods: We searched for bio-samples collected in domestic and foreign biomonitoring programs and their applications. For this, we referred to research papers, homepages hosted by biomonitoring programs, and project reports. We also checked information for biobanks related with biomonitoring programs, including the operating systems, facilities, technologies, and regulations of biobanks. Results: We summarized six domestic and 32 foreign biomonitoring programs. These biomonitoring programs collected bio-samples to determine the relationship between environmental chemicals and diseases. Domestically, bio-samples from KoNEHS, KorSEP, MOCEH, KoCHENS, and KorEHS-C were stored at -80℃ in a deep freezer at the National Institute of Environmental Research, while KNHANES samples were stored at Korea Biobank, which has a stabilized biobanking system with a well-established database. Nine foreign biomonitoring programs (JECS, China-NHBP, CKB, CHMS, NHANES, GerES, Germaan ESB, MoBa, and UK Biobank) were ongoing for large populations. Among them, CKB, GermanESB, and UK biobank have been maintained for at least 10 years with their own biomonitoring programs as well as advanced systems for the safe storage of bio-samples. Conclusion: Currently on-going biobanks have devoted considerable efforts to managing bio-samples for public purposes. The preceding domestic and foreign biomonitoring programs and biobanks will be great references for constructing biobank facilities and systems for environmental public health in Korea in the future.

• Biomedical Science Letters
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• v.25 no.1
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• pp.99-106
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• 2019

Amyloid positron emission tomography (PET) allows early and accurate diagnosis in suspected cases of Alzheimer's disease (AD) and contributes to future treatment plans. In the present study, a method of implementing a diagnostic system to distinguish ${\beta}$-Amyloid ($A{\beta}$) positive from $A{\beta}$ negative with objectiveness and accuracy was proposed using a machine learning approach, such as the Principal Component Analysis (PCA) and Support Vector Machine (SVM). $^{18}F$-Florbetaben (FBB) brain PET images were arranged in control and patients (total n = 176) with mild cognitive impairment and AD. An SVM was used to classify the slices of registered PET image using PET template, and a system was created to diagnose patients comprehensively from the output of the trained model. To compare the per-slice classification, the PCA-SVM model observing the whole brain (WB) region showed the highest performance (accuracy 92.38, specificity 92.87, sensitivity 92.87), followed by SVM with gray matter masking (GMM) (accuracy 92.22, specificity 92.13, sensitivity 92.28) for $A{\beta}$ positivity. To compare according to per-subject classification, the PCA-SVM with WB also showed the highest performance (accuracy 89.21, specificity 71.67, sensitivity 98.28), followed by PCA-SVM with GMM (accuracy 85.80, specificity 61.67, sensitivity 98.28) for $A{\beta}$ positivity. When comparing the area under curve (AUC), PCA-SVM with WB was the highest for per-slice classifiers (0.992), and the models except for SVM with WM were highest for the per-subject classifier (1.000). We can classify $^{18}F$-Florbetaben amyloid brain PET image for $A{\beta}$ positivity using PCA-SVM model, with no additional effects on GMM.

• Biomedical Science Letters
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• v.24 no.4
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• pp.418-425
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• 2018

Amyloid brain positron emission tomography (PET) images are visually and subjectively analyzed by the physician with a lot of time and effort to determine the ${\beta}$-Amyloid ($A{\beta}$) deposition. We designed a convolutional neural network (CNN) model that predicts the $A{\beta}$-positive and $A{\beta}$-negative status. We performed 18F-florbetaben (FBB) brain PET on controls and patients (n=176) with mild cognitive impairment and Alzheimer's Disease (AD). We classified brain PET images visually as per the on the brain amyloid plaque load score. We designed the visual geometry group (VGG16) model for the visual assessment of slice-based samples. To evaluate only the gray matter and not the white matter, gray matter masking (GMM) was applied to the slice-based standard samples. All the performance metrics were higher with GMM than without GMM (accuracy 92.39 vs. 89.60, sensitivity 87.93 vs. 85.76, and specificity 98.94 vs. 95.32). For the patient-based standard, all the performance metrics were almost the same (accuracy 89.78 vs. 89.21), lower (sensitivity 93.97 vs. 99.14), and higher (specificity 81.67 vs. 70.00). The area under curve with the VGG16 model that observed the gray matter region only was slightly higher than the model that observed the whole brain for both slice-based and patient-based decision processes. Amyloid brain PET images can be appropriately analyzed using the CNN model for predicting the $A{\beta}$-positive and $A{\beta}$-negative status.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.7
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• pp.859-865
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• 2011

A bio-check unit and health index were developed to provide information on personal health state with easily available noninvasive measurements and surveys. Four health indices were defined such as cardiovascular index, stress index, obesity index, and management index. Methods were developed to calculate health index scores from measured physiological signals and answer of survey questions. In order to evaluate effectiveness of the health indices, a clinical trial was conducted for 362 persons who visited general hospital for annual health inspection. The cardiovascular index showed a good correlation coefficient of 0.685 with the cardiovascular health graded by a medical doctor. The stress index showed a good correlation coefficient of 0.638 with the results of stress questionnaires being used in the public health center. Once the health index function is added in the bio-check unit, the unit may provide useful contents for personal health management.

• Korean Journal of Acupuncture
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• v.27 no.4
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• pp.49-57
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• 2010

Objectives : The aim of this study is evaluation for significance of skin meridian-acupoints energy measurement system, and is verification of principle to measure the bio-ion charge on acupoints. Methods : To check a correlation between the MEP(Meridian Energy Potential) and bio-electric charge condition, ten acupoints(left/right BL meridian : BL13, BL15, BL18, BL20, BL23) were chosen. Based on basic theory concerning the upward trend of the bio-electric charge by cupping therapy, we measured MEP change before and after 600mmHg(80kPa) Negative pressure stimulation using cupping. Results : We could identify the correlation between MEP and the condition of bio-electric charge in acupoints. Also, we checked the balance or imbalance of left/right the MEP and unusual cases. Conclusions : We confirmed significance of proposed principle and meridian energy measurement system.

• The Korean Journal of Physiology and Pharmacology
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• v.26 no.1
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• pp.1-13
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• 2022

Kidney disease is becoming a global public health issue. Acute kidney injury (AKI) and chronic kidney disease (CKD) have serious adverse health outcomes. However, there is no effective therapy to treat these diseases. Lactoferrin (LF), a multi-functional glycoprotein, is protective against various pathophysiological conditions in various disease models. LF shows protective effects against AKI and CKD. LF reduces markers related to inflammation, oxidative stress, apoptosis, and kidney fibrosis, and induces autophagy and mitochondrial biogenesis in the kidney. Although there are no clinical trials of LF to treat kidney disease, several clinical trials and studies on LF-based drug development are ongoing. In this review, we discussed the possible kidney protective mechanisms of LF, as well as the pharmacological and therapeutic advances. The evidence suggests that LF may become a potent pharmacological agent to treat kidney diseases.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.98-105
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• 2010

Health of the people involved in blood sugar, blood pressure, activity, and using bio-sensors to obtain biometric information, the system for monitoring health research for development is a lot. This paper analyzes the bio information by monitoring the u-health care agent system was developed. Activity measurement technology that uses 3-axis accelerometer sensor. 3-axis acceleration sensors, using information obtained from activity to activity analysis to calculate the exact algorithm was developed. More accurate than the existing system to calculate the calorie consumption, it is stored in the database management. and you can check your health status using of activity and bio-information.

• Journal of Agricultural Extension & Community Development
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• v.28 no.4
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• pp.203-213
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• 2021

This study aimed to examine the policy priorities to enhance the service quality of the agro-healing for mental health care using Importance-Performance Analysis (IPA). The subjects were 67 people working in mental health institutions. The result of the IPA for the design of the agro-healing policy, in a total of 5 policy areas, the importance and performance were found to be 'above average', and it was confirmed that 'Keep up the Good Work' level. This is thought to have had a positive effect on raising the policy awareness of experts in mental health related institutions as the government's support for agro-healing and R & D increased according to the enactment of the act. Therefore, the results of this study provided basic information on the development and revitalization of agro-healing service quality for mental health care.