• Title/Summary/Keyword: GORAL

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Hematologic and biochemical reference intervals for natural monument Korean goral (Naemorhedus caudatus) (천연기념물 한국 산양의 혈액 및 혈액 화학적 정상표준범위)

  • Ahn, Sangjin;Choi, Youngjin;Kim, Jong-Taek
    • Korean Journal of Veterinary Service
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    • v.40 no.2
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    • pp.155-159
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    • 2017
  • Korean goral (Neamorhedus caudatus) is registered as a natural monument number 217 by South Korea Cultural Heritage Administration. It is also recognized as the endangered species I by Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). In this study, blood samples of Korean goral were collected to make reference intervals. Blood sampling was conducted on 19 numbers of Korean gorals (ten females, nine males), which were reared in Korean Goral Restoration Center. For total samples, the reference intervals of hematological parameters were: white blood cell $7.69{\sim}10.87K/{\mu}{\Lambda}$; hematocrit 36.73~46.18%; red blood cell $10.72{\sim}12.86K/{\mu}{\Lambda}$; hemoglobin 12.79~15.14 g/dL; mean corpuscular volume 33.15~36.75 fL; mean corpuscular hemoglobin 11.53~12.23 pg; mean corpuscular hemoglobin concentration 32.64-35.91 g/dL and red blood cell distribution width 39.2~43.46%. For total samples of each parameters, the following results were obtained for serum biochemistry: glucose 111.81~153.77 mg/dL; blood urea nitrogen 22.35~28.91 mg/dL; creatine 1.22~1.84 mg/dL; phosphate 4.57~6 mg/dL; calcium 8.7~9.1 mg/dL; total protein 6.53~6.92 g/dL; albumin 3.1~3.48 g/dL; globulin 3.26~3.62 g/dL; alanine aminotransferase 56.7~158.56 U/L; aspartate aminotransferase 230.35~473.06 U/L; alkaline phosphatase 178.06~332.47 U/L; gamma-glutamyl transpeptidase 131.6-~181.24 U/L; total bilirubin 1.47~2.12 mg/dL; cholesterol 46.48~71.52 mg/dL; amylase 16.3~26.03 U/L; sodium 150.43~153.88 mmol/L; potassium 3.98~4.6 mmol/L and chlorine 109.48~113.26 mmol/L. The ranges of values were similar campared to previous studies except in the case of RDW value, which showed higher range than the RDW value of a previous study. The reference intervals from this study will be useful data for treatment and management of gorals.

Gallstone Etiopathogenesis, Lith and Mucin Genes and New Treatment Approaches

  • Goral, Vedat
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.2
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    • pp.467-471
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    • 2016
  • Gallstones constitute one of the more common and relatively costly conditions of the gastrointestinal system and are a major risk factor for gallbladder cancer. Most gallstone cases involve individuals younger than 60 years of age, those older representing 9% of the total in one series. There are many risk factors for gallstones and Lith and Mucin genes, for example, play important roles in their formation. Surgery is one therapeutic approach but in the future it is to be expected that drugs for prevention of gallstones will be developed in the future. This will have clear implications for gallbladder cancer control.

Etiopathogenesis of Gastric Cancer

  • Goral, Vedat
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.6
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    • pp.2745-2750
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    • 2016
  • Gastric cancer is a multifactorial and complex malignant disease seen commonly worldwide. It is one of the few malignant conditions in which the etiology involves infectious agents (Helicobacter pylori), but there are many other risk factors incuding high salt intake. Its pathogenesis generally involves interactions between environmental factors and genetic disposition. It is currently onsidered that stem cells may play a central role in gastric cancer development.

APPLICATIONS OF CLASS NUMBERS AND BERNOULLI NUMBERS TO HARMONIC TYPE SUMS

  • Goral, Haydar;Sertbas, Doga Can
    • Bulletin of the Korean Mathematical Society
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    • v.58 no.6
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    • pp.1463-1481
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    • 2021
  • Divisibility properties of harmonic numbers by a prime number p have been a recurrent topic. However, finding the exact p-adic orders of them is not easy. Using class numbers of number fields and Bernoulli numbers, we compute the exact p-adic orders of harmonic type sums. Moreover, we obtain an asymptotic formula for generalized harmonic numbers whose p-adic orders are exactly one.

A Study on the Species Distribution Modeling using National Ecosystem Survey Data (전국자연환경조사 자료를 이용한 종분포모형 연구)

  • Kim, Jiyeon;Seo, Changwan;Kwon, Hyuksoo;Ryu, Jieun;Kim, Myungjin
    • Journal of Environmental Impact Assessment
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    • v.21 no.4
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    • pp.593-607
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    • 2012
  • The Ministry of Environment have started the 'National Ecosystem Survey' since 1986. It has been carried out nationwide every ten years as the largest survey project in Korea. The second one and the third one produced the GIS-based inventory of species. Three survey methods were different from each other. There were few studies for species distribution using national survey data in Korea. The purposes of this study are to test species distribution models for finding the most suitable modeling methods for the National Ecosystem Survey data and to investigate the modeling results according to survey methods and taxonominal group. Occurrence data of nine species were extracted from the National Ecosystem Survey by taxonomical group (plant, mammal, and bird). Plants are Korean winter hazel (Corylopsis coreana), Iris odaesanensis (Iris odaesanensis), and Berchemia (Berchemia berchemiaefolia). Mammals are Korean Goral (Nemorhaedus goral), Marten (Martes flavigula koreana), and Leopard cat (Felis bengalensis). Birds are Black Woodpecker (Dryocopus martius), Eagle Owl (Bubo Bubo), and Common Buzzard (Buteo buteo). Environmental variables consisted of climate, topography, soil and vegetation structure. Two modeling methods (GAM, Maxent) were tested across nine species, and predictive species maps of target species were produced. The results of this study were as follows. Firstly, Maxent showed similar 5 cross-validated AUC with GAM. Maxent is more useful model to develop than GAM because National Ecosystem Survey data has presence-only data. Therefore, Maxent is more useful species distribution model for National Ecosystem Survey data. Secondly, the modeling results between the second and third survey methods showed sometimes different because of each different surveying methods. Therefore, we need to combine two data for producing a reasonable result. Lastly, modeling result showed different predicted distribution pattern by taxonominal group. These results should be considered if we want to develop a species distribution model using the National Ecosystem Survey and apply it to a nationwide biodiversity research.