• CELLMED
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• v.7 no.2
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• pp.10.1-10.10
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• 2017

The Maasai community from Kenya is highly esteemed for their strong adherence to traditional cultures and ethno medicine. This is attributed to their age-old traditional mechanisms of passing down knowledge to the younger generation. Adoption to new socio-economic lifestyle and urbanization has been associated with development of diabetes, which has been reported among some indigenous pastoral communities in Kenya. Documentation of traditional methods of treatment and management of diabetes by the Maasai has not yet been reported, yet it is noteworthy. Thirty traditional healers from Narok County were purposively selected and interviewed about traditional knowledge of antidiabetic medicinal plants, parts used, preparation dosage and administration. A total of 14 antidiabetic plant species distributed within 13 genera and 12 families were identified and documented as herbal medicine used in the management of diabetes. The most highly cited plant species was Dovyalis abyssinica (20%), the plant family Flacourtiaceae and Rhamnaceae (2 plant species each) recorded the highest number of plant species while the most frequently used plant part was the roots (46%). Literature review revealed that some of the cited plants have known phytochemicals with antidiabetic activity; the study recommends further scientific investigation to validate their efficacy and safety.

• Korean Journal of Human Ecology
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• v.13 no.1
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• pp.51-62
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• 2004

This research developed satellite account for household production to measure the whole size of production in Korea. The standardized satellite account was designed on the basis of Ironmonger's IO table. Results of this research were summarized as follows. First, the economic values of male and female labor invested for household production was 1,560,000 and 5,380,000 Won, respectively. Female input was greater than male by 3.5 times. Second, the expenditure for durable goods for household production was on average 470,000 Won per year. Among the total expenditure, 36% was spent for household management activities, 25% for food preparation and 25% for cleaning and laundry. Results of examining the expenditure for durable goods in total production activities showed that more than half was spent for household production; 54% for household production, 39% for leisure, 4% for sleeping, and 3% for individual use. Third, among expenditure of consumption for intermediate foods for household production, expenditure for food was the greatest to be followed by expenditures for child care, other houseworks, and cleaning and laundry. Finally, the total value of household production in Korea turned out to reach 171 trillion won which was value of 36% of GDP(482 trillion Won) in 1999.

• Korean Journal of Digital Imaging in Medicine
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• v.10 no.2
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• pp.5-10
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• 2008

Thanks to recent development of science and technology, economic standard has been improved and life expectation has been gradually increased. Accordingly, disease aspect and demand for health have been changed in the concept from conventional center of disease to health improvement As the health issue in middle and senior age has also been vital in the national health, osteoporosis, one of the physical maladies occuring in these age group, is on the rise as a matter of important concern so that the researches on the osteoporosis have being accomplished actively in several medical domains. Research has been earned out for 735 examined objects, who have received medical examination of bone mineral density in the volunteer medical service of Daegu and Kyungbuk province for recent 4 years. The result indicated that serious osteoporosis prevailed over osteoporosis for male while osteopenia was majority to osteoporosis and that abnormal bone mineral density was more prominent than normal bone mineral density for both male and female. This study is to present basic data which is indispensible to preparation of senior citizen dominated society afterward, investigating the prevalence rate of osteoporosis.

• Journal of Biosystems Engineering
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• v.34 no.4
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• pp.243-253
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• 2009

This research expands investigations into the biomass resource potential associated with California's food processing industry by surveying industries within a two county region in the San Joaquin Valley, California, USA. A previous survey conducted in 2005 for the Sacramento Municipal Utility District (SMUD) quantified residue and waste generation from food processors and food preparation businesses in the Sacramento region. The present survey investigates residue and waste streams from food processors located in Merced and Stanislaus Counties. Sixty food processors were identified to participate in the survey, of which 49 responded (82%) and data were acquired for 38 (63%) (6 facilities closed or moved, 8 decided not to participate). Within the two counties, total annual waste among survey respondents amounted to 24,044 dry tons of high moisture (${\geq}$60%) food residuals, 5,358 dry tons of low moisture (<60%) food residuals; and 23.7 million $m^3$ of wastewater containing 38,814 tons of biochemical oxygen demand ($BOD_5$). The total potential electric power generation from these food residues was estimated at approximately $7\;MW_e$. Total solid waste resource included in the survey response was estimated at about 10% of statewide residue generation for processors falling within the Standard Industrial Classification (SIC) System Major Group 20 (Food and Kindred Products) categories.

• Journal of Preventive Medicine and Public Health
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• v.38 no.4
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• pp.379-385
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• 2005

The impact of the next influenza pandemic is difficult to predict. It is dependent on how virulent the virus is, how rapidly it spreads from population to population, and the effectiveness of prevention and response efforts. Despite the uncertainty about the magnitude of the next pandemic, estimates of the health and economic impact remain important to aid public health policy decisions and guide pandemic planning for health and emergency sectors. Planning ahead in preparation for an influenza pandemic, with its potentially very high morbidity and mortality rates, is essential for hospital administrators and public health officials. The estimat ion of pandemic impact is based on the previous pandemics- we had experienced at least 3 pandemics in 20th century. But the epidemiologi cal characteristics - ie, start season, the impact of 1st wave, pathogenicity and virulence of the viruses and the primary victims of population were quite different from one another. I reviewed methodology for estimation and modelling of pandemic impact and described some nations's results using them in their national preparedness plans. And then I showed the estimates of pandemic influenza impact in Korea with FluSurge and FluAid. And, I described the results of pandemic modelling with parameters of 1918 pandemic for the shake of education and training of the first-line responder health officials to the epidemics. In preparing influenza pandemics, the simulation and modelling are the keys to reduce the uncertainty of the future and to make proper policies to manage and control the pandemics.

• Korean Journal of Pharmacognosy
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• v.49 no.1
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• pp.65-69
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• 2018

Torilin is a major sesquiterpene of Torilis japonica (Umbelliferae) fruits and known to be a melanogenesis inhibitor. Extraction conditions are important factor for the efficient preparation to save cost and time in economic aspects. For this reason, this study was conducted to optimize the extraction condition for maximal yield of torilin. For optimization, extraction factors such as extraction solvent, extraction temperature and sample/solvent ratio were tested and optimized for maximum yield of torilin using response surface methodology with Box-Behnken design (BBD). The optimal condition was obtained as a EtOAc concentration in MeOH of 31.8%, an extraction temperature at $30.3^{\circ}C$ and a sample/solvent ratio, 1000 mg/2 ml. The torilin yield under optimal conditions was found to be 9.9 mg/g dried samples, which were well-matched with the predicted value of 10.4 mg/g dried samples. These results will provide useful information about optimized extraction conditions for the development of torilin as cosmetic therapeutics to reduce skin hyperpigmentation.

• Food Science of Animal Resources
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• v.22 no.1
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• pp.55-58
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• 2002

The economical producing method of casein phosphopeptide (CPP) and the physicochemical properties related to the solubilization of calcium were studied. Firstly, The compositions of the purified CPP-III were 13.1% of nitrogen, 2.3∼2.4% of phosphate and the ratio of N/P was 5.4∼5.6. In consideration of economic aspects, the preparation method of the CPP- I and II which were lower purity than the CPP-III was established. The physico-chemical property of the CPP was compared with the enzymically dephosphorylated CPP. CPP and polyglutamate effectively inhibited the formation of insoluble calcium phosphates at physiological pH.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.128-138
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• 2008

VE of the scripture season enterprises and it respected LCC analyzes from the research which it sees and to use AHP techniques and definite LCC techniques and probabilistic LCC techniques selects the optimum route the case study which it executed. It presented the quality rating model in about the resultant most route lascivious at the time of VE evaluation, in order to select the alternative of optimum AHP techniques which are one in decision-making technique and an evaluation item by weight and a grade it applied the mountaintop it did. Also the definite LCC analyzer law departments of existing together it applied the probabilistic LCC techniques which use Monte Carlo Simulation in about analytical prices and reliability height boil. The economical efficiency was excellent with VE/LCC analytical resultant route and facility size abridgment, the rivers most it will be able to minimize an environmental effect with short distance traverse, the selection this hit preparation LCC which separates from the land use side decreased, the value (V) above 22.0% with the fact that it improves. And, the reliability of the probabilistic LCC analytical resultant analytical results in compliance with Monte Carlo Simulation with 90.3% was very analyzed with the fact that it is a high level.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.43-52
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• 2020

The paper investigates the mechanism through which corporate credit ratings affect dividend payments by decomposing the mean difference of dividends into a part that is explained by the determinants of dividends and a residual part that is contributed by the pure credit group effect, in the framework of the traditional dividend model of Fama and French (2001). Historically, better credit rated firms have shown consistently higher propensity to pay dividends especially during the economic crisis period. According to the counter-factual decomposition technique of Jann (2008), better rated firms are more responsive to the firm characteristics that have positive impact on dividends and poor rated firms are more responsive to the negative dividend predictors. As a result, good (bad) credit ratings make corporate managers become more bold (timid) in their dividend payments and they tend to pay more (less) dividends than what their firm characteristics prescribe. The degree of information asymmetry increases for the poor group firms during crisis periods and they attempt to reserve more cash in preparation for future investments. The decomposition results suggest that the credit group effect can potentially exceed the effect of firm characteristics because firms of different credit ratings can respond to the very same firm characteristics in a different manner.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.33-42
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• 2020

The paper investigates the mechanism through which corporate credit ratings affect dividend payments by decomposing the mean difference of dividends into a part that is explained by the determinants of dividends and a residual part that is contributed by the pure credit group effect, in the framework of the traditional dividend model of Fama and French (2001). Historically, better credit rated firms have shown consistently higher propensity to pay dividends especially during the economic crisis period. According to the counter-factual decomposition technique of Jann (2008), better rated firms are more responsive to the firm characteristics that have positive impact on dividends and poor rated firms are more responsive to the negative dividend predictors. As a result, good (bad) credit ratings make corporate managers become more bold (timid) in their dividend payments and they tend to pay more (less) dividends than what their firm characteristics prescribe. The degree of information asymmetry increases for the poor group firms during crisis periods and they attempt to reserve more cash in preparation for future investments. The decomposition results suggest that the credit group effect can potentially exceed the effect of firm characteristics because firms of different credit ratings can respond to the very same firm characteristics in a different manner.