Jinhee Kim;Chul-Min Park;Su Hyun Choi;Mi Jin Yang;Ju-Yeon Lee;Byung-Suk Jeon;Hyun-Ok Ku;Min-Seok Kim
Journal of Veterinary Science
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v.24
no.2
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pp.22.1-22.12
/
2023
Background: Citric acid (CA) and sodium hypochlorite (NaOCl) have been used to disinfect animals to protect them against avian influenza and foot-and-mouth disease. Objectives: We performed a good laboratory practice (GLP)-compliant animal toxicity study to assess the acute toxic effects of CA and NaOCl aerosol exposure in Sprague-Dawley rats. Methods: Groups of five rats per sex were exposed for 4 h to four concentrations of the two chemicals, i.e., 0.00, 0.22, 0.67, and 2.00 mg/L, using a nose-only exposure. After a single exposure to the chemicals, clinical signs, body weight, and mortality was observed during the observation period. On day 15, an autopsy, and then gross findings, and histopathological analysis were performed. Results: After exposure to CA and NaOCl, body weight loss was observed but recovered. Two males died in the CA 2.00 mg/L group and, two males and one female died in the 2.00 mg/L NaOCl group. In the gross findings and histopathological analysis, discoloration of the lungs was observed in the CA exposed group and inflammatory lesions with discoloration of the lungs were observed in the NaOCl exposed group. These results suggest that the lethal concentration 50 (LC50) of CA is 1.73390 mg/L for males and > 1.70 mg/L for females. For NaOCl, the LC50 was 2.22222 mg/L for males and 2.39456 mg/L for females. Conclusions: The Globally Harmonized System is category 4 for both CA and NaOCl. In this study, the LC50 results were obtained through a GLP-based acute inhalation toxicity assessment. These results provide useful data to reset safety standards for CA and NaOCl use.
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.16
no.6
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pp.369-377
/
2023
In the industrial manufacturing sector, quality control is pivotal for minimizing defect rates; inadequate management can result in additional costs and production delays. This study underscores the significance of detecting texture defects in manufactured goods and proposes a more precise defect detection technique. While the DFR(Deep Feature Reconstruction) model adopted an approach based on feature map amalgamation and reconstruction, it had inherent limitations. Consequently, we incorporated a new loss function using statistical methodologies, integrated a skip connection structure, and conducted parameter tuning to overcome constraints. When this enhanced model was applied to the texture category of the MVTec-AD dataset, it recorded a 2.3% higher Defect Segmentation AUC compared to previous methods, and the overall defect detection performance was improved. These findings attest to the significant contribution of the proposed method in defect detection through the reconstruction of feature map combinations.
Promoting quality of streaming service in wireless networks has attracted intensive research over the years. Instable wireless channel condition causes high transmission delay and packet loss, due to fading and interference. Therefore, they lead to degrade quality of video streaming service. The IEEE 802.11 Working Group is currently working on a new standard called IEEE 802.11e to support quality of service in WLANs. And several schemes were proposed in order to guarantee QoS. However, they are not adaptable to network condition. Accordingly, they suffered video quality degradation, due to buffer overflow or packet loss. In this paper, to promote quality of video streaming service in WLANs, we propose a cross-layer architecture based on IEEE 802.11e EDCA model. Our cross-layer architecture provides differentiated transmission mechanism of IEEE 802.11e EDCA based on priority of MPEG-4 video frames and adaptively controls the transmission rate by dropping video frames through the efficient bandwidth estimation based on distinction of each AC. Through the simulation, proposed scheme is shown to be able to improve end-to-end qualify for video streaming service in WLANs.
Lee Young Su;Kwack Jeong Jin;Lee Gang Nyoung;Choi Chang Won;Kim Hee Chul
Journal of Physiology & Pathology in Korean Medicine
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v.16
no.4
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pp.630-636
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2002
After The Yellow Emperor's Canon of Internal Medicine, The text researches of pathologic change to the liver disease concluded the next, 1, The category of liver-disease(肝病) include the Symptoms of abnormality due to vital energy and blood motion, emotion and intention, muscular and reproductive function, and legions around descending liver channel. 2. In the theory that Liver-Yang energy(肝陽氣) is always overproducing, Liver-Yin blood(肝陰血) is always lacking, pathologic characteristics for liver disease is functional change of malfunction of the use of body(體用失調), So nourishing the liver and kidney is used for the principal aspects of a disease. regulating and calm the liver is used for the secondary aspects of a disease as the treatment plan, 3. If malfunctioning of the functions of dispersion and discharge(疏泄), Iiver-energy(肝氣) is becoming degected, So overproduct and overflow of ascent and exhalation of liver-yang(肝陽) is becoming blood are ascending following energy. complete usage of Yin-blood(陰血) is responsible for some kinds of mass formed by blood stasis in the early stage of pathogenesis of liver disease syndrome of the energy system as the progession of disease extravasated blood is forming. the pathologic characteristics is appeared loss of control of the vital energy and blood(體用失調) at the liver disease. 4. Sthenia-syndrome of liver(肝實證) and liver-heat syndrome(肝熱證) is appered that overproducing and overflow of dispersion(疏泄太過) and discharge is responsible for overfunctioning of liver disease or some kinds of heat syndrome such as liver fire(肝火), Sthenia of liver-yang(肝陽上亢), the syndromes of sthenic liver heat(肝實熱) are appered. deficiency of the liver(肝虛證) and cold syndrome of liver(肝寒證) is classified pathologic characteristics of cold and heat, deficiency and excess that regression of sensory, motor, mental due to lack of dispersion and discharge(疏泄不及), or intruding of the cold miasma, are degected. 5. The liver is close relation of physiologic function and internal organ such as spleen, stomach, lung, heart, kidney, gall bladder by the meridian channels, because of property of wind Zang, rapid progession is classified by phthologic charateristics.
Journal of Korean Tunnelling and Underground Space Association
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v.20
no.1
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pp.119-130
/
2018
The VE/LCC study on the existing multi-utility tunnel examined the economical feasibility of the collective area through the cost-benefit analysis of the ten major routes of Seoul for the benefit (7 items) and the cost (5 items) through quantitative methods. In this paper, we analyzed the economic efficiency of 61 sectors by adding 3 items (reduced traffic accident, reduced vehicle noise, social-economic loss). The reduced traffic accident item is an improvement of the traffic accident cost that can be saved by the implementation of the project, and the reduced vehicle noise item is an indicator of the amount of noise change caused by the implement of the business. Finally, the social-economic loss items represent the impact on the local economy due to the construction of the multi-utility tunnel. The amounts of the additional items were compared and items added in the open type and tunnel type multi-utility tunnel were analyzed for each analysis. Result on the analysis, it analyzed the items applied to the basic and detail models in the economic evaluation of the multi-utility tunnel design, and makes it possible to evaluate the economic efficiency more efficiently. The economic evaluation of the basic and detailed models including the items presented in this study will be often used in the design of the multi-utility tunnel design.
This study was performed to analyze the process and develop the pattern of school dropout in the context of the Korean educational systems. Participants were 30 adolescents experiencing dropout one more times and their age ranged from 16 to 23. A major category derived and analysed from a grounded theory method of Strauss and Corbin(1990). The qualitative analysis indicated that dropout is contradictory experiences in Korea. Because it is emancipation from various distress of school systems as well as loss of various benefit as students, Main causes of dropout were identity problems, school frustrations(failure in school achievements), environmental disadvantaged and delinquencies. Sometimes these various causes are emerged at the same time. Most important condition of context which was decided was whether dropout was voluntary and considered. After dropout from school, it was important if there were resources such as emotional and informative supports. Especially informative support was critical to adjust after dropout. Dropout experience was divided largely into 4 patterns such as type of 'searching the identity', 'being disorganized', 'escaping' and 'frustration'. In chronological analysis resulted in 4 stages including 'stage I. loss of motivation', 'stage II. escaping from school', 'stage III. trial and error', 'stage IV changing the meaning of dropout in the life.
Journal of Physiology & Pathology in Korean Medicine
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v.26
no.1
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pp.10-18
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2012
In this paper, to find out how different the treatment of special individuals named 'old people' is with that of ordinary cases, Dongeuibogam(東醫寶鑑) was chosen as the study material and some parts in it where the symptoms of old people in the same disease category were treated in different ways were excerpted to analyze the tendency of pathological symptoms and prescriptions in the physiological perspective. As the result of analysis on the parts in Dongeuibogam(東醫寶鑑) where the old people were treated in different ways, it turned out that 65 prescriptions were used in 24 pathological symptoms. The 24 symptoms are included mainly in chapters of 'inner view(內景)' and 'outer form(外形)'. They are including the pathological symptoms which had been presented as general geriatric symptoms and also seems to have added other symptoms which should be clinically reflected in the specialty of treatment for geriatric diseases. The 65 prescriptions are also recorded mainly in chapters of 'inner view(內景)' and 'outer form(外形)'. The herbs used for them were sweet and warm herbs such as Rehmannia glutinosa (Gaertner) Libosch(熟地黃), Angelica gigas Nakai(當歸), Panax ginseng C. A. Mey(人蔘) and Atractylodes macrocephala Koidz(白朮) that can support the essence blood of liver and kidney and the energy of spleen, lung and stomach. Those herbs could be added or subtracted according to the symptom. It seems to have resulted from the treatment method that old people was applied to old people in consideration of their physiological features. When the 24 symptoms and 65 prescriptions for geriatric diseases different from ordinary ones in Dongeuibogam(東醫寶鑑) were considered in the physiological view point, it could be seen that each pathological symptom was manifested as a exhaustion of kidney qi(腎氣枯渴) which was a characteristic physiologic state of old people. Through this, it could be seen that the use of prescriptions was also made to mitigate the body fluid deficiency(津液不足), the kidney yin inner heat(腎陰內熱), the heart spirit void and loss(心神虛損), the kidney yang deficiency(腎陽不足), the spleen failing in transportation(脾失健運), the spleen yang deficiency(脾陽不足), the liver fire inner movement(肝火內動) and the lung energy void and loss(肺氣虛寒).
Nuclear emergency preparedness and response is an essential part to ensure the safety of nuclear power plant (NPP). Key support technologies of nuclear emergency decision-making usually consist of accident diagnosis, source term estimation, accident consequence assessment, and protective action recommendation. Source term estimation is almost the most difficult part among them. For example, bad communication, incomplete information, as well as complicated accident scenario make it hard to determine the reactor status and estimate the source term timely in the Fukushima accident. Subsequently, it leads to the hard decision on how to take appropriate emergency response actions. Hence, this paper aims to develop a method for rapid source term estimation to support nuclear emergency decision making in pressurized water reactor NPP. The method aims to make our knowledge on NPP provide better support nuclear emergency. Firstly, this paper studies how to build a Bayesian network model for the NPP based on professional knowledge and engineering knowledge. This paper presents a method transforming the PRA model (event trees and fault trees) into a corresponding Bayesian network model. To solve the problem that some physical phenomena which are modeled as pivotal events in level 2 PRA, cannot find sensors associated directly with their occurrence, a weighted assignment approach based on expert assessment is proposed in this paper. Secondly, the monitoring data of NPP are provided to the Bayesian network model, the real-time status of pivotal events and initiating events can be determined based on the junction tree algorithm. Thirdly, since PRA knowledge can link the accident sequences to the possible release categories, the proposed method is capable to find the most likely release category for the candidate accidents scenarios, namely the source term. The probabilities of possible accident sequences and the source term are calculated. Finally, the prototype software is checked against several sets of accident scenario data which are generated by the simulator of AP1000-NPP, including large loss of coolant accident, loss of main feedwater, main steam line break, and steam generator tube rupture. The results show that the proposed method for rapid source term estimation under nuclear emergency decision making is promising.
Objectives: REM sleep behavior disorder (RBD), characterized by excessive motor activity during REM sleep, is associated with loss of muscle atonia. In recent years, it has been reported that RBD has high co-morbidity with CNS disorders (especially, Parkinson's disease, dementia, multiple system atrophy, etc.). We aimed to assess differences in clinical and polysomnographic findings among RBD patients, depending on the presence or absence of central nervous system (CNS) disorders. Methods: The medical records and polysomnographic data of 81 patients who had been diagnosed as having RBD were reviewed. The patients were classified into two groups: associated RBD (aRBD, i.e., with a clinical history and/or brain MRI evidence of CNS disorder) and idiopathic RBD (iRBD, i.e., without a clinical history and/or brain MRI evidence of CNS disorder) groups. Twenty-one patients (25.9%) belonged to the aRBD group and 60 patients (74.1%) belonged to the iRBD group. The clinical characteristics and polysomnographic findings of the two groups were compared. Results: Periodic limb movement disorder (PLMD), i.e., PLMI (periodic limb movement index)>5, was observed more frequently in the aRBD group than in the iRBD group (p<0.001, Fisher's exact test). Also, obstructive sleep apnea syndrome (OSAS), i.e., RDI (respiratory disturbance index)>5, was found more frequently in the aRBD group (p=0.0042, Fisher's exact test). The percentages for slow wave sleep and sleep efficiency were significantly lower in the aRBD group than in the iRBD group. Conclusion: We found that 1 out of 4 RBD patients had associated CNS disorders, warranting more careful neurological evaluation and follow-up in this category of RBD. In this category of RBD patients, we also found more frequent PLMD and OSAS. These patients were also found to have lower slow wave sleep and sleep efficiency. In summary, RBD patients with associated CNS disorders suffer from more disturbed sleep than those without them.
Recommender Systems have been huge influence users and business more and more. Recently the importance of E-commerce has been reached rapid growth greatly in world-wide COVID-19 pandemic. Recommender system is the center of E-commerce lively. Top ranked E-commerce managers mentioned that recommender systems have a major influence on customer's purchase such as about 50% of Netflix, Amazon sales from their recommender systems. Most algorithms have been focused on improving accuracy of recommender system regardless of novelty, diversity, serendipity etc. Recommender systems with only high accuracy cannot satisfy business long-term profit because of generating sales polarization. In addition, customers do not experience enjoyment of shopping from only focusing accuracy recommender system because customer's preference is changed constantly. Therefore, recommender systems with various values need to be developed for user's high satisfaction. Reranking is the most useful methodology to realize diversity of recommender system. In this paper, diversity of recommender system is represented through constructing high similarity with users who have different preference using each user's purchased item's category algorithm. It is distinguished from past research approach which is changing the algorithm of recommender system without user's diversity preference level. We tried to discover user's diversity preference level and observed the results how the effect was different according to user's diversity preference level. In addition, graph-based recommender system was used to show diversity through user's network, not collaborative filtering. In this paper, Amazon Grocery and Gourmet Food data was used because the low-involvement product, such as habitual product, foods, low-priced goods etc., had high probability to show customer's diversity. First, a bipartite graph with users and items simultaneously is constructed to make graph-based recommender system. However, each users and items unipartite graph also need to be established to show diversity of recommender system. The weight of each unipartite graph has played crucial role changing Jaccard Distance of item's category. We can observe two important results from the user's unipartite network. First, the user's diversity preference level is observed from the network and second, dissimilar users can be discovered in the user's network. Through the research process, diversity of recommender system is presented highly with small accuracy loss and optimalization for higher accuracy is possible controlling diversity ratio. This paper has three important theoretical points. First, this research expands recommender system research for user's satisfaction with various values. Second, the graph-based recommender system is developed newly. Third, the evaluation indicator of diversity is made for diversity. In addition, recommender systems are useful for corporate profit practically and this paper has contribution on business closely. Above all, business long-term profit can be improved using recommender system with diversity and the recommender system can provide right service according to user's diversity level. Lastly, the corporate selling low-involvement products have great effect based on the results.
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