• Journal of Veterinary Science
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• v.22 no.1
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• pp.1.1-1.12
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• 2021

Background: Goslings in several Taiwanese farms experienced gosling feather loss disease (GFL) at 21-35 days and goose broke feather disease (GBF) at 42-60 days. The prevalence ranges from a few birds to 500 cases per field. It is estimated that about 12,000 geese have been infected, the morbidity is 70-80% and the mortality is 20-30%. Objectives: This study aims to investigate the pathogens that cause GFL and GBF. Focus on the study of the correlation between goose circovirus (GoCV) and goose parvovirus (GPV) with the goose feather loss in southern Taiwan. Furthermore, a phylogenetic tree was established to align the differences between southern and northern Taiwan and compare with virus strains from China and Europe. Methods: Samples were collected from animal hospitals. Molecular and microscopy diagnostics were used to examine 92 geese. Specific quantitative polymerase chain reaction (Q-PCR) assays are performed to evaluate GPV and GoCV viral loads and simultaneously evaluated the feather loss conditions in geese with the scoring method. Results: High prevalence of GoCV and GPV infection in geese showing signs of GFL and GBF. Inclusion body was detected in the feather follicles and Lieberkuhn crypt epithelial cells. The Q-PCR showed the high correlation between feather loss and viruses during 3rd-5th week. However, the infection was not detected using the same test in 60 healthy geese. Conclusions: Thus, GFL and GBF appear to be significantly closely related to GoCV and GPV. The geese feathers showed increasing recovery after being quarantined and disinfected.

• Journal of Korean Medical classics
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• v.25 no.3
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• pp.39-49
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• 2012

Objective : "Sikryochanyo"written by Jeon Soonyi is the first Food-Therapy book at Korea. In "Sikryochanyo", there are many kinds of food-Therapy including prescriptions for thirst disease. Conception of hirst disease in traditional mendicine contains diabetes in some aspects. One of the Ingeative methods in diabetes limits taking protein but "Sikryochanyo" shows several prescriptions including protein. Method : We will try to find out cases of Food-therapy for thirst disease in "Sikryochanyo" and classify several prescriptions including protein. Result : In "Sikryochanyo", several prescriptions for thirst disease including protein were treated as materia medica widely such as stomach of cow and pig, intestine of pig, head of dear, rabbit, chicken, goose, pheasant, milk and lung of sheep. Conclusion : On several types of prescriptions for thirst disease including protein there are plenty of usage with its own effectiveness.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.25 no.1
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• pp.55-74
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• 2012

Objective : The purpose of this study is to investigate the skin disease in Sanghanron"傷寒論" and Geumgweyoryak"金匱要略". Methods : We conducted a study on the original text paragraphs of Sanghanron and Geumgweyoryak containing the skin disease and analysis of Woo, Oh, Sung, Zhang, etc. We drew a parallel between skin disease from Sanghanron and Geumgweyoryak and matching diagnoses from western medicine. Results : The results were as follows. 1. In Sanghanron and Geumgweyoryak pruritus was related to psychogenic pruritus and similar to skin disease caused by decrease of sweating, dry skin in cholinergic urticaria, atopic dermatitis and eczema, etc. in western medicine. 2. In Geumgweyoryak ichthyosis was caused by woman's disease, after menopause, chronic disease and malnutrition and related to winter itch and xerotic eczema in western medicine. 3. In Sanghanron Goose bumps, keratosis follicularis, acute and chronic urticaria and cold urticaria were occurred because of poorly managed fever care and side effect of antibiotic. 4. In Geumgweyoryak red face was similar to face flushing and side effects, which is after drug and laser treatment on face, in western medicine. 5. In Geumgweyoryak urticaria was, in a broad sense, skin disease with pruritus and secondary infection resulted from scratch. Skin diseases with pruritus are similar to urticaria, dermatitis herpetiformis, lichen planus, atopic dermatitis, contact dermatitis, psoriasis, nummular eczema, lichen simplex chronicus, prurigo nodularis, neurodermatitis and internal disease with pruritus in western medicine. 6. In Geumgweyoryak spots in the skin were caused by fever and similar to allergic purpura and SLE symptom in western medicine. 7. In Geumgweyoryak bullous disease with yellowish discharge was similar to eczema, pustule, atopic eczema, etc. in western medicine. 8. In Geumgweyoryak repeated inflammation of oral cavity, genitals, eyes and skin was similar to Behcet's disease in western medicine. 9. In Sanghanron and Geumgweyoryak boil was similar to abscess and acute lymphadenitis in western medicine caused by oily foods and infections. 10. In Geumgweyoryak swelling and boil were occurred in a poor health. Damage from metalic material could cause a convulsion and was similar to tetanus in western medicine. Conclusion : We analyzed the original text paragraphs of Sanghanron and Geumgweyoryak and explanations about skin disease. As a results, we found out etiology, pathogenesis, treatments of the skin disease in Sanghanron and Geumgweyoryak. Further we compared with western medicine to develop better understanding of the skin disease.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.137-154
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• 2018

Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.

• Korean Journal of Poultry Science
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• v.39 no.2
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• pp.97-104
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• 2012

Newcastle disease virus (NDV) infects a variety of birds with a wide range of clinical signs from asymptomatic to severe. During a 10-month period in 2011, a total of 1,024 sera from wild birds including 42 species of birds in 8 orders were collected and the seroprevalence of NDV in wild birds was evaluated by hemagglutination inhibition (HI) test. Evidence of NDV infection was observed in 12.6% (129/1,024) of wild birds with a maximum prevalence reported in Mandarin duck (27.8%, 32/115) followed by Mallard duck (20.8%, 57/274), Spot-billed duck (11.9%, 36/303), Pintail (2.9%, 1/34), Black-tailed gull (2.9%, 1/34), White-fronted goose (1.8%, 1/56) and Common teal (1.4%, 1/69). None of the other 35 species of wild birds were antibody-positive for NDV. Mandarin duck, Mallard duck and Spot-billed duck showed high sero-prevalance of 12.2% to 42% during winter season (November to March). Our results indicate that Mandarin duck, Mallard duck and Spot-billed duck might be natural reservoirs for NDV in Korea and the prevalence of NDV infection in wild birds displayed a seasonal pattern with high prevalence of NDV in winter season (November to March).

• Journal of Veterinary Clinics
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• v.29 no.4
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• pp.309-314
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• 2012

The study was undertaken to evaluate sensitivity and specificity of rapid Avian Influenza (AI) and Newcastle Disease virus (NDV) combo antigen kits from field samples of domestic (broiler and layer chicken, native chicken) and semi-domestic (duck, goose, pigeon and quail) birds of Bangladesh. Samples were collected from naturally infected AI suspected domestic and semi-domestic birds of five different outbreak areas in Bangladesh. From each area two birds were selected for sampling, and from each bird three types of samples (tracheal, cloacal and oro-nasal swabs) were collected. A total of 210 field samples from a total of 70 birds were collected and tested using AI and NDV combo antigen rapid diagnostic kits in the study. All three different samples from a bird showed similar pattern of reaction. Out of 210 samples, 15 samples (5 birds), 63 samples (21 birds) and 27 samples (9 birds) were positive for AIV, NDV and both for AIV and NDV, respectively; whereas the remaining birds were negative for either AIV or NDV in this screening test. Among the five AIV positive, a layer chicken from wet market in Mymensingh, Netrokona, Gibandha and Kurigram and a native chicken from wet market in Kurigram area was positive to AIV. The semi-domestic birds are either positive to NDV or free from both AIV and NDV. This study revealed that the AIV and NDV rapid diagnostic kits could be effectively use to diagnose the respective virus in trachea, oro-nasal and cloacal samples simultaneously. AIV-NDV combo Ag test result clearly indicates that the test kit designed for AIV and NDV could diagnose the disease rapidly with less effort and higher scientific know how which could be used for the detection of AIV and NDV using field samples in large scale.