Kim, Mi-A;Jung, Woo-Sang;Moon, Sang-Kwan;Kim, Young-Suk;Kim, Chang-Ju;Cho, Ki-Ho
The Journal of Internal Korean Medicine
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v.34
no.2
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pp.113-121
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2013
Objectives : This study aimed to find out whether acupuncture at various acupoints shows any effects on appetite by regulating neurotransmitters in the hypothalamus through the expression of NPY and LR in the PVN via immunohistochemistry. Methods : Male Sprague-Dawley rats were divided into eight groups of five mice each. The rats in the acupuncture groups were treated with acupuncture at respective acupoints, twice per a day for 3 days. The animals were sacrificed 72 h after commencement of the experiment, the brains being dissected into serial coronal sections. Expressions of neuropeptide Y and leptin receptor in the hypothalamus were assessed by immunohistochemistry. Results : NPY expression in the PVN was enhanced and LR expression in the PVN was decreased by food deprivation. NPY immunoreactivity in the PVN of the food-derived rats was decreased by acupuncture at the auricular acupoint, Zusanli-acupoint, a and non-acupoint. However, acupuncture at the auricular acupoint showed most potent suppressing effect on NPY expression in the PVN of food-deprived rats. LR expression in the PVN decreased following food deprivation, and auricular acupuncture increased LR expression in the PVN of food-deprived rats. In normal conditions (fed state), LR expression in the PVN was not changed by acupuncture treatment at several sites. Conclusions : From this study, we have shown that acupuncture at the auricular acupoint exerts the most potent appetite suppressing effect on the food restriction state.
To improve the performance of estimation, the research that uses additional information addition to traffic count and target OD with additional survey cost have been studied. The purpose of this paper is to improve the performance of OD estimation by reducing the feasible solutions with cost-efficiently additional information addition to traffic counts and target OD. For this purpose, we Propose the OD estimation method with sample link use proportion as additional information. That is, we obtain the relationship between OD trip and link flow from sample link use proportion that is high reliable information with roadside survey, not from the traffic assignment of target OD. Therefore, this paper proposes OD estimation algorithm in which the conservation of link flow rule under the path-based non-equilibrium traffic assignment concept. Numerical result with test network shows that it is possible to improve the performance of OD estimation where the precision of additional data is low, since sample link use Proportion represented the information showing the relationship between OD trip and link flow. And this method shows the robust performance of estimation where traffic count or OD trip be changed, since this method did not largely affected by the error of target OD and the one of traffic count. In addition to, we also propose that we must set the level of data precision by considering the level of other information precision, because "precision problem between information" is generated when we use additional information like sample link use proportion etc. And we Propose that the method using traffic count as basic information must obtain the link flow to certain level in order to high the applicability of additional information. Finally, we propose that additional information on link have a optimal counting location problem. Expecially by Precision of information side it is possible that optimal survey location problem of sample link use proportion have a much impact on the performance of OD estimation rather than optimal counting location problem of link flow.
In this paper, we developed DNL(Dynamic Network Loading) model based on Moving cell theory to analyze the dynamic characteristics of traffic flow in congested network. In this paper vehicles entered into link at same interval would construct one cell, and the cells moved according to Cell following rule. In the past researches relating to DNL model a continuous single link is separated into two sections such as running section and queuing section to describe physical queue so that various dynamic states generated in real link are only simplified by running and queuing state. However, the approach has some difficulties in simulating various dynamic flow characteristics. To overcome these problems, we present Moving cell theory which is developed by combining Car following theory and Lagrangian method mainly using for the analysis of air pollutants dispersion. In Moving cell theory platoons are represented by cells and each cell is processed by Cell following theory. This type of simulation model is firstly presented by Cremer et al(1999). However they did not develop merging and diverging model because their model was applied to basic freeway section. Moreover they set the number of vehicles which can be included in one cell in one interval so this formulation cant apply to signalized intersection in urban network. To solve these difficulties we develop new approach using Moving cell theory and simulate traffic flow dynamics continuously by movement and state transition of the cells. The developed model are played on simple network including merging and diverging section and it shows improved abilities to describe flow dynamics comparing past DNL models.
Travel choice behavior is affected by real-time traffic information. Recently, in urban area, real-time traffic information is provided by several instruments such as transportation broadcasting, internet PC network and variable message sign, etc. Furthermore, it has been increasing for urban travelers to use real-time traffic information provided by several instruments. The purpose of this study is to analyze the effects of advanced traveler information on urban worker's travel choice behavior. Among several Advanced Traveler Information System(ATIS) employed in urban area. This study focuses on examining the effects of transportation broadcasting on urban worker's travel choice behavior. This study attempts to examine traveler's mode change behavior in the pre-trip stage and traveler's route change behavior in the on-route stage. For this study, the survey data collected from Daegu City in 2000 is used. For empirical analysis, several nested logit models are estimated, and among them, the best models are reported in this paper. Furthermore, based on the empirical models estimated for this research, important findings and their policy implications are discussed.
Recently, there are many trials about Artificial neural networks : ANNs structure and studying method of researches for forecasting traffic volume. ANNs have a powerful capabilities of recognizing pattern with a flexible non-linear model. However, ANNs have some overfitting problems in dealing with a lot of parameters because of its non-linear problems. This research deals with the application of a variety of model selection criterion for cancellation of the overfitting problems. Especially, this aims at analyzing which the selecting model cancels the overfitting problems and guarantees the transferability from time measure. Results in this study are as follow. First, the model which is selecting in sample does not guarantees the best capabilities of out-of-sample. So to speak, the best model in sample is no relationship with the capabilities of out-of-sample like many existing researches. Second, in stability of model selecting criterion, AIC3, AICC, BIC are available but AIC4 has a large variation comparing with the best model. In time-series analysis and forecasting, we need more quantitable data analysis and another time-series analysis because uncertainty of a model can have an effect on correlation between in-sample and out-of-sample.
This paper is designed to report the results of development and validation procedures in relation to the Freeway Incident Management System (FIMS) prototype development as part of Intelligent Transportation Systems Research and Development program. The central core of the FIMS is an integration of the component parts and the modular, but the integrated system for freeway management. The whole approach has been component-orientated, with a secondary emphasis being placed on the traffic characteristics at the sites. The first action taken during the development process was the selection of the required data for each components within the existing infrastructure of Korean freeway system. After through review and analysis of vehicle detection data, the pilot site led to the utilization of different technologies in relation to the specific needs and character of the implementation. This meant that the existing system was tested in a different configuration at different sections of freeway, thereby increasing the validity and scope of the overall findings. The incident detection module has been performed according to predefined system validation specifications. The system validation specifications have identified two component data collection and analysis patterns which were outlined in the validation specifications; the on-line and off-line testing procedural frameworks. The off-line testing was achieved using asynchronous analysis, commonly in conjunction with simulation of device input data to take full advantage of the opportunity to test and calibrate the incident detection algorithms focused on APID, DES, DELOS and McMaster. The simulation was done with the use of synchronous analysis, thereby providing a means for testing the incident detection module.
Journal of agricultural medicine and community health
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v.31
no.1
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pp.35-46
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2006
Objectives: In recently. the management and protection on individual information in patient's medical & nursing records have been very important, and that need a guideline. The purpose of this study was to investigate the status of using the patient's nursing records of nursing students in clinical practice, to find and discuss the patient's informed consent, and status of education and management concerned to patient's nursing records. Methods: This study used a mailing survey. data collected from September 24th to October 31th in 2002. The subject were 333 professors who are major in adult nursing, pediatric nursing, psychological nursing of 111 university of nursing department and nursing college. And then we received the survey mail from 103 professors that respondent rate was 30.9%. Results: The characteristics of study subjects showed 49.0% of university. 51.0% of college of nursing. 50.0% of the subjects practiced point the patient by oral approval in clinical practice. But when the decision of the patient was very difficult, 21.6% of the subjects take to informed consent from his or her families. During the clinical practice, 49.0% of the subjects were explain to patient about clinical practice and contents of the nursing student, only 7.8% of the subjects were explain to patient with nursing records. 52.0% of the subjects were took out records from the hospital, only 17.6% of the subjects had standard of the patient's informed consent and standard of handling practice records. 17.6%-92.2% of the subjects that educate and manage concern to patient's nursing records.
This study investigated the correlationship between artificial maturation season and reproduction coefficient of cultured eel Anguilla japonica from May (spring) to next January (winter). The brood stock, female eels ($400{\sim}600\;g$) were artificially matured by weekly intramuscular injections of salmon pituitary extracts (SPE, 20 mg/fish) to induce a completion of vitellogenesis. After completion of vitellogenesis, final oocyte maturation and ovulation was induced by injection of $17{\alpha}$, $20{\beta}-dihydroxyprogesterone$ (DHP) at about $2\;{\mu}g/g$ body weight. Most fish ovulated $15{\sim}18\;h$ following the DHP injection. The ovulated fish were induced to natural spawning or artificial fertilization by the dry method. Males ($200{\sim}350\;g$) were received weekly intramuscular injections of human chorionic gonadotropin (HCG) at a dosage of 1 IU/g body weight to induce testicular maturation and spermiation. Seasonal reproduction coefficient which includes the rate of ovulation, buoyancy, fertilization and hatching of eggs in the artificially matured eel during spring to summer ($May{\sim}July$) were significantly higher than the other season, while there were no significant difference among spring and summer (P<0.05). Furthermore, the number of eggs spawned and larvae hatched in the artificially maturated eel during spring to summer ($May{\sim}July$) were significantly higher than the other season, while there were no significant difference in spring and summer (P<0.05). These results indicate that artificial maturation by hormone treatment of A. japonica was successful only during spring to summer, which is the maturation period in the wild stock in nature. Consequently, it is possible to determine the period of artificially induced sexual maturity by the reproduction coefficient which includes the rate of ovulation, buoyancy, fertilization and hatching of eggs in the cultured eel A. japonica.
Journal of the Korean Society of Food Science and Nutrition
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v.42
no.8
/
pp.1183-1189
/
2013
We investigated the effects of oyster shell extract (OSE) on papain-induced osteoarthritis in C57BL/6J mice. Osteoarthritis was induced in mice by a papain injection into the knee joint. The mice were divided into a total of five groups (n=8). The normal group was untreated, whereas the papain group (negative control) was induced with osteoarthritis and treated with water daily. The papain+DS group (positive control) was treated with diclofenac sodium. Papain+OSE groups were treated with OSE concentrations of 100 and 200 mg/kg/bw for 20 days. Proteoglycan content in articular cartilage was analyzed through safranine-O fast green staining and H&E staining. The histopathological changes in cartilage were measured by the Rudolphi score approach. The contents of tumor necrosis factor-${\alpha}$ (TNF-${\alpha}$), interleukin (IL)-$1{\beta}$, and IL-6 in plasma were analyzed by the ELISA method. After experiments, body weights of the treated groups were not significantly different compared with the normal group. Cartilage loss and joint instability significantly improved in a dose-dependent manner in the OSE-treated group compared with the papain group (P<0.05). Proteoglycan content was significantly higher in the OSE-treated group than the papain group (P<0.05). Osteoarthritis scores of the OSE-treated group were significantly decreased compared with the papain group (P<0.05). TNF-${\alpha}$, IL-$1{\beta}$, and IL-6 content in the plasma of the papain+OSE treated groups significantly decreased in a dose-dependent manner compared with the papain group (P<0.05). These results suggest that OSE treatment might have anti-arthritic effects on papain-induced osteoarthritis in C57BL/6J mice.
Ha, Kyu-Soo;Rhee, Taik-Ho;Lee, Seung-Weon;Kim, Ki-Hak
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.1
no.1
/
pp.127-156
/
2006
This paper introduced successful case studies of the EIP (Entrepreneurship Intensive Programs) programs that are planed by 5MBA (Small and Medium Business Administration) and executed by Hoseo University and Jinju National University in 2004. Therefore, the illustrations and examples used in this paper are based on the EIP programs of those schools. Currently there are five graduate schools for Entrepreneurship educations that are originated from the EIP program models and those graduateschools are actively and successfully working. The purpose of this paper is to find out the diffusing strategies of the Entrepreneurship spirits and Entrepreneurship Education programs after careful analysis and review of the EIP programs. The main factors of the Success of the EIP are as follows. First, there were excellent modules of the education process. Second, there were firm and clear goals of the education. Three, there were differentiated contents of the entrepreneurship education programs. Four. each and every education performance was monitored. Five, during the programs, real start-up cases were actually handled and students had many opportunities to present their cases. However, there were some shortcomings to improve and change of the entrepreneurship education. First of all, it was very difficult to make proper education formation that is fit in the purpose of the program. Second, motivating students to find out their own business opportunities so as to turn them into real business was not satisfactory or easy. Third, there were some limitations in distributing and executing the EIP budgets. Therefore, to improve the efficiency of the Entrepreneurship education, following expanding strategies should be complemented. First, continuous redesigning of the entrepreneurship education programs is very important. Second, the specialization of the contents of the entrepreneurship education programs is essential. Third, there should be some discretionary room for the management of the entrepreneurship programs. Fourth, it is also important activating the entrepreneurship networks among schools of the entrepreneurship education. Finally, it is necessary to give some incentives and motivations based on the proper performance evaluation system.
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