• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.169-179
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• 2021

This study was conducted to develop and apply clinical nursing practice training simulation program using Standardized Patient for Nursing Students focused on infectious respiratory disease. This study is descriptive methodological study. Through prior consideration of documents and educational task of infectious respiratory disease was conducted with interview of clinical specialists of infection control managers. Development of educational task for infectious respiratory disease for Nursing Students went through the content validity. Finally, 10 educational tasks are developed 'knowledge of respiratory infections disease', 'hand washing', 'put on mask', 'lead to put on mask to patients and caregiver', 'intravenous injection via 3way', 'surgical aseptic technique', 'sterilization medical instrument', 'management of contaminated linen', 'infected personnel management manual'. The infectious respiratory disease simulation program was developed based on the ADDIE model and proceeded to 4 steps of analysis, design, development, implementation. The infection control education program included lectures (20 min), skill training (20 min), simulation using standardized patient (20 min), and debriefing (40 min), The collected data were analyzed by descriptive statistics with SPSS program for version 23.0. The results of this study confirmed that the clinical nursing practice training simulation program using standardized patients was effective in infectious respiratory disease of the nursing college students in knowledge of infectious respiratory disease and clinical nursing performance. we found this practical training program for nursing college students to improve knowledge and clinical competency of infection control. we expected that this developed program could be applied to practical training for various infectious control.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.378-385
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• 2023

The importance of wearing respiratory protective equipment has been highlighted even more during the COVID-19 pandemic. Even if the suitability of respiratory protection has been confirmed through testing in a laboratory environment, there remains the potential for leakage points in the respirators due to improper application by the wearer, damage to the equipment, or sudden movements in real working conditions. In this paper, we propose a method to detect the occurrence of leak holes by measuring the pressure changes inside the mask according to the wearer's breathing activity by attaching an IoT sensor to a full-face respirator. We designed 9 experimental scenarios by adjusting the degree of leak holes of the respirator and the breathing cycle time, and acquired respiratory data for the wearer of the respirator accordingly. Additionally, we analyzed the respiratory data to identify the duration and pressure change range for each breath, utilizing this data to train a neural network model for detecting leak holes in the respirator. The experimental results applying the developed neural network model showed a sensitivity of 100%, specificity of 94.29%, and accuracy of 97.53%. We conclude that the effective detection of leak holes can be achieved by incorporating affordable, small-sized IoT sensors into respiratory protective equipment.

• Journal of Biomedical Engineering Research
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• v.28 no.5
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• pp.676-683
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• 2007

A non-invasive respiratory gated radiotherapy system like those based on external anatomic motion gives better comfortableness to patients than invasive system on treatment. However, higher correlation between the external and internal anatomic motion is required to increase the effectiveness of non-invasive respiratory gated radiotherapy. Both of invasive and non-invasive methods need to track the internal anatomy with the higher precision and rapid response. Especially, the non-invasive method has more difficulty to track the target position successively because of using only image processing. So we developed the system to track the motion for a non-invasive respiratory gated system to accurately find the dynamic position of internal structures such as the diaphragm and tumor. The respiratory organ motion tracking apparatus consists of an image capture board, a fluoroscopy system and a processing computer. After the image board grabs the motion of internal anatomy through the fluoroscopy system, the computer acquires the organ motion tracking data by image processing without any additional physical markers. The patients breathe freely without any forced breath control and coaching, when this experiment was performed. The developed pattern-recognition software could extract the target motion signal in real-time from the acquired fluoroscopic images. The range of mean deviations between the real and acquired target positions was measured for some sample structures in an anatomical model phantom. The mean and max deviation between the real and acquired positions were less than 1mm and 2mm respectively with the standardized movement using a moving stage and an anatomical model phantom. Under the real human body, the mean and maximum distance of the peak to trough was measured 23.5mm and 55.1mm respectively for 13 patients' diaphragm motion. The acquired respiration profile showed that human expiration period was longer than the inspiration period. The above results could be applied to respiratory-gated radiotherapy.

• Journal of the Ergonomics Society of Korea
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• v.35 no.5
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• pp.371-381
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• 2016

Objective:This study aims to evaluate the features of heart rate variability (HRV) and respiratory signals as indices for a driver's drowsiness and waking status in order to develop the classification model for a driver's drowsiness and waking status using those features. Background: Driver's drowsiness is one of the major causal factors for traffic accidents. This study hypothesized that the application of combined bio-signals to monitor the alertness level of drivers would improve the effectiveness of the classification techniques of driver's drowsiness. Method: The features of three heart rate variability (HRV) measurements including low frequency (LF), high frequency (HF), and LF/HF ratio and two respiratory measurements including peak and rate were acquired by the monotonous car driving simulation experiments using the photoplethysmogram (PPG) and respiration sensors. The experiments were repeated a total of 50 times on five healthy male participants in their 20s to 50s. The classification model was developed by selecting the optimal measurements, applying a binary logistic regression method and performing 3-fold cross validation. Results: The power of LF, HF, and LF/HF ratio, and the respiration peak of drowsiness status were reduced by 38%, 22%, 31%, and 7%, compared to those of waking status, while respiration rate was increased by 3%. The classification sensitivity of the model using both HRV and respiratory features (91.4%) was improved, compared to that of the model using only HRV feature (89.8%) and that using only respiratory feature (83.6%). Conclusion: This study suggests that the classification of driver's drowsiness and waking status may be improved by utilizing a combination of HRV and respiratory features. Application: The results of this study can be applied to the development of driver's drowsiness prevention systems.

• BMB Reports
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• v.33 no.6
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• pp.427-439
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• 2000

The activity of the phagocyte respiratory burst oxidase is regulated by complex and dynamic alterations in protein-protein interactions that result in the rapid assembly of an active multicomponent NADPH oxidase enzyme on the plasma membrane. While the enzymatic activity has been studied for the past 20 years, the past decade has seen remarkable progress in our understanding of the enzyme and its activation at the molecular level. This article describes the current state of knowledge, and proposes a model for the mechanism by which protein-protein interactions regulate enzyme activity in this system.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.5
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• pp.1803-1808
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• 2012

This study aimed to investigate the effects of Ser/Cys polymorphism in hOGG1 gene, Arg/Pro polymorphism in p53 gene, smoking and their interactions on the development of lung cancer. Ser/Cys polymorphism in hOGG1 and Arg/Pro polymorphism in p53 among 124 patients with lung cancer and 128 normal people were detected using PCR-RFLP. At the same time, smoking status was investigated between the two groups. Logistic regression was used to estimate the effects of Ser/Cys polymorphism and Arg/Pro polymorphisms, smoking and their interactions on the development of lung cancer. ORs (95% CI) of smoking, hOGG1 Cys/Cys and p53 Pro/Pro genotypes were 2.34 (1.41-3.88), 2.12 (1.03-4.39), and 2.12 (1.15-3.94), respectively. The interaction model of smoking and Cys/Cys was super-multiplicative or multiplicative, and the OR (95% CI) for their interaction item was 1.67 (0.36 -7.78). The interaction model of smoking and Pro/Pro was super-multiplicative with an OR (95%CI) of their interaction item of 5.03 (1.26-20.1). The interaction model of Pro/Pro and Cys/Cys was multiplicative and the OR (95%CI) of their interaction item was 0.99 (0.19-5.28). Smoking, hOGG1 Cys/Cys, p53 Pro/Pro and their interactions may be the important factors leading to the development of lung cancer.

• Korean Journal of Medicinal Crop Science
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• v.27 no.3
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• pp.218-231
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• 2019

Background: We recently reported that Salvia plebeia R. Br. extracts suppress leukotriene production and effectively inhibit the airway inflammatory response by modulating inflammatory chemokine and cytokine expression. Here, we investigated the synergistic airway anti-inflammation effect of Salvia plebeia and Panax ginseng (Korean red ginseng, KRG) that has been used to treat various immune diseases such as asthma. Methods and Results: To evaluate the synergistic airway anti-inflammatory effect of Salvia plebeia and KRG, we measured the inhibitory effect of monotheraphy with either or co-theraphy with both on leukotriene and reactive oxygen species (ROS) production. Using coal a combustion, fly ash, and diesel exhaust particle (CFD)-induced respiratory disease mouse model, we found that co-theraphy synergistically suppressed airway inflammatory signs such as alveolar wall thickness and collagen fibers deposition, and decreased the number of total cell, $CD11b^+Gr-1^+$ cells, and inflammatory cytokines (IL17A, TNF, MIP-2 and CXCL-1) in bronchoalveolar lavage (BAL) fluid. Conclusions: We confirmed respiratory protection as a therapeutic effect of the Salbia plebeia-KRG 3 : 1 complex (KGC-03-PS) via anti-tracheal muscle contraction and expectorant animal studies using a CFD-induced respiratory disease mouse model.

• The Journal of Korean Medicine
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• v.42 no.3
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• pp.56-71
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• 2021

Objectives: This study is aimed to evaluate the protective effects of GGX on lung injury of Chronic Obstructive Lung Disease (COPD) mice model. Materials and Methods: C57BL/6 mice were challenged with lipopolysaccharide (LPS) and cigarette smoke extract (CSE) and then treated with vehicle only (Control group), dexamethasone 3 mg/kg (Dexa group), gam-gil-tang 200 mg/kg (GGT group), GGX 100, 200, and 400 mg/kg (GGX group). After sacrifice, its bronchoalveolar lavage fluid (BALF) or lung tissue was analyzed with cytospin, Enzyme-Linked Immunosorbent Assay (ELISA), real-time polymerase chain reaction (PCR) and hematoxylin & eosin (H&E), and Masson's trichrome staining. Results: In the COPD model, GGX significantly inhibited the increase of neutrophils, TNF-𝛼, IL-17A, CXCL-1, MIP2 in BALF and TNF-𝛼, IL-1𝛽, IL-10 mRNA expression in lung tissue. It also decreased the severity of histological lung injury. Conclusion: This study suggests the usability of GGX for COPD patients by controlling lung tissue injury.

• Journal of the Korean Society of Safety
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• v.35 no.1
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• pp.70-78
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• 2020

Nitrox diving was introduced by the NOAA (National Oceanic and Atmospheric Administration) to increase the oxygen content and lower the nitrogen content in respiratory gases. The commercial diving sector specializing in underwater operations has recently introduced regulations on the use of Nitrox. Because the respiratory gas for Nitrox diving has a lower nitrogen content than the normal air, the amount of nitrogen dissolved in the body is small, which not only significantly reduces the decompression time compared to air diving, but also reduces the chance of exposure to decompression sickness. In this study, we applied the VPM (Varying Permeability Model) algorithm to virtual diving with air and Nitrox as a respiratory gas, respectively, to study the optimal Nitrox diving for the safety at the underwater works. The results showed that Nitrox diving had a longer NDL (No-Decompression Limit), a much shorter depression time. In other words, Nitrox diving in underwater works is safer from decompression sickness than commonly used air diving.

• Journal of Veterinary Clinics
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• v.27 no.3
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• pp.257-261
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• 2010

The development of blood ionic changes could be precipitated in acid-base disorder and subsequent treatment. As technology for detecting circulating ionized $Mg^{2+}$ (the most interesting form with respect to physiological and biological properties) is now available in veterinary clinical medicine. This present study investigated the changes of whole blood ionized $Mg^{2+}$ correlated with acute metabolic and respiratory alkalosis in rodent model. Metabolic alkalosis was induced by intravenous infusion with $NaHCO_3$ and mechanical hyperventilation was applied for respiratory alkalosis. We founded that the blood ionized $Mg^{2+}$ could be reversibly decreased by the $NaHCO_3$-induced acute metabolic alkalosis but irreversibly increased by the mechanical hyperventilation-induced respiratory acidosis and respiratory acidosis. We suggested that the potential change in blood suggested that the potential change in blood ionized $Mg^{2+}$ should be counted in treatment of acid-base disorders.