Multiple ovulation and embryo transfer (MOET) has the potential to increase the rates of genetic improvement in cattle. Thus this study was performed to investigate several factors influencing in vivo embryo production in Holstein cattle under field conditions. The donors were superovulated with Folltropin-V and $PGF_2{\alpha}$ combination method. From Day 10 onward, donors were superovulated by i.m., twice daily, administration of 400mg Folltropin-V given in a series of decreasing doses over a 4-day period: on the first day, 3.5ml; on the second day, 3.0ml; on the third day, 2.0ml; and on the fourth day, 1.5ml (20ml in total, equivalent to 400mg of NIH-FSH-P1). Estrus was induced by i.m. administration of 25mg prostaglandin $F_2{\alpha}$ on the sixth and seventh of FSH treatment. Estrus detection was performed twice daily beginning 24h after the first prostaglandin $F_2{\alpha}$ injection. Donor cows were artificially inseminated 12 and 24 h after first standing estrus with semen from a proven Holstein sire. Embryos used in this study were recovered Day 7.5 of the cycle (Day 0: first standing estrus). From 195 superovulated dairy cows, 2,104 eggs were recovered, of which 1,172 were classified as transferable embryos based on morphological evaluation of quality. The results are summarized as follows: 1. The numbers of recovered and transferable embryos did not significantly differ among the capacity of milk production that were < 10,000kg/305days (group 1), $10,000{\sim}12,000\;kg$/305days (group 2) or > 12,000kg/305 days (group 3) (p>0.05, Table 1). 2. No differences in the numbers of recovered and transferable embryos were found among the donor's postparient days (p>0.05, Table 2). 3. Also, the numbers of recovered and transferable embryos of each superovulation seasons did not significantly differ among the four groups (p>0.05, Table 3).
This study was conducted to evaluate the effect of Sikhe made by medicinal herb on the functional level of liver. Water extract I (12.9% W/W) and II (25.8% W/W) were obtained from medicinal materials: Caragana Sinica, Glycyrrhiza uralensis, Atractylodes rhizoma alba, Atractylodes rhizoma alba, Crataegus pinnatifida, Paeonia lactiflora Pasll., Hordeum vulgare Linne, Oryza sativa Linne, ginger, peer and jujube. Experimental groups were divided into the control diet group (C), high fat diet group (HF), high fat diet treated with 5% extract I group (HFE I ) and high fat diet treated with 5% extract II group (HFE II). In sensory evaluation, overall quality scores associated with color, aroma, flavor and taste were significantly higher in water extract II than in water extract 1. After investigating functional and lipid levels of livers in rats, we found that the administration of water extract I or water extract II to the high fat diet group (HF) did not affect the gain of body weight but mildly reduced GOT or GPT activity in the high diet group. Moreover, administration of these medicinal herbal extracts significantly decreased the levels of total lipid, triglyceride and total cholesterol in the high fat diet group (HF). However, administration of these medicinal herbal extracts did not affect the level of phospholipid. In conclusion, as Sikhe made by medicinal herb slightly decreased the activity of GOT or GPT and amount of lipid in liver, prevention against high fat diet is thought to be important for liver protection.
Journal of the Korean Society of Food Science and Nutrition
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v.40
no.3
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pp.426-434
/
2011
In order to increase the use of rice, ginseng Garaedduks and Topokki were made and the physicochemical and sensory properties were investigated. Topokki and Garaedduks were added with 0, 1, 3 and 5% ginseng powder and stored at $20^{\circ}C$ for 48 hours. The moisture contents were not different to the increasing amount of ginseng powder and increasing storage time for 48 hours. The moisture content of Garaedduks for control and 5% added ginseng powder were 48.08% and 49.62%, respectively. The L value in color of uncooked ginseng Garaedduk decreased according to the added amount of ginseng powder, and the b value in color increased significantly according to the added amount of ginseng powder and during 48 hours storage at $20^{\circ}C$. Textural analysis, measured using a texture analyzer, of Garaedduk revealed that hardness, cohesiveness, chewiness decreased significantly and adhesiveness increased according to the added amount of ginseng powder. In sensory evaluation, 5% ginseng Garaedduk (uncooked, cooked) scored higher in overall acceptability than those of the other samples. In cooking properties, water absorption and solid contents increased according to the added amount of ginseng powder. Therefore, Garaedduk containing 5% ginseng powder was the most preferable. These results implied that the degree of retrogradation of ginseng Garaedduk might be low due to its high dietary fiber content.
This study was conducted to develop an optimal composite recipe for a cookie including yam powder that would be attractive to all age groups. Wheat flour was partially substituted by yam powder to reduce the content of wheat flour. This study has produced the sensory optimal composite recipe by making cookies, respectively with each 5 level of yam powder $(X_1)$, Sugar$(X_2)$, butter$(X_3)$, by C.C.D (Central Composite Design) and conducting sensory evaluation and instrumental analysis by means of RSM (Response Surface Methodology). Sensory items showed very significant values in color, softness, overall quality (p<0.01), flavor (p<0.05) and those of instrumental analysis showed significant values in lightness, redness (p<0.05), spread ratio, hardness (p<0.01). Also sensory optimal ratio of yam cookie was calculated at yam powder 37.35 g, sugar 50.75 g, butter 78.40 g and it was revealed that the factors of influencing yam cookie aptitude were in older of yam powder, butter, sugar.
The purpose of this study is to derive service factors based on the "Rail Statistical Yearbook" data of railroad service providers from 1990 to 2019, and to analyze the effect of the service factors on the operating profit ratio(OPR), a representative management performance variable of railroad transport service providers. In particular, it has academic significance in terms of empirical research to evaluate whether the management innovation of the KoRail has changed in line with the purpose of establishing the corporation by dividing the research period into the first period (1990-2003) and the latter (2004-2019). The contents of this study investigated previous studies on the quality of railway passenger transportation service and analyzed the contents of government presentation data related to the management performance evaluation of the KoRail. As an empirical analysis model, a research model was constructed using OPR as a dependent variable and service factor variables of infrastructure, economy, safety, connectivity, and business diversity as explanatory variables based on the operation and management activity information during the analysis period 30 years. On the results of research analysis, OPR is that the infrastructure factor is improved by structural reform or efficiency improvement. And economic factors are the fact that operating profit ratio improves by reducing costs. The safety factor did not reveal the significant explanatory power of the regression coefficient, but the sign of influence was the same as the prediction. Connectivity factor reveals a influence on differences between first period and latter, but OPR impact direction is changed from negative in before to positive in late. This is an evironment in which connectivity is actually realized in later period. On diversity factor, there is no effect of investment share in subsidiaries and government subsidies on OPR.
This study was carried out to investigate the cleaning effect of sesame leaf, the sterilization effect and physicochemical properties, treated with various electrolyzed water. Initial physicochemical properties could be kept more than 1 month in electrolyzed oxidizing water(EW-1) of diaphragm type and 15 days in electrolyzed water(EW-2 and EW-3) of non-diaphragm system, there was no significant difference by storage temperature. 4 kinds of microorganism (initial total counts, $10^7\~10^9$ CFU/mL) were sterilized within $0.5\~1$ minutes by electrolyzed water. In fresh sesame leaves, total viable cell count and coliform group in the treatment of electolyzed water were decreased to about $2\~3$ log scale comparing non-treated ones. Especially Bacillus cereus was not detected until 13th day when treated with EW-l. Decaying ratio of sesame leaf appears on day 6 of storage in the untreated but the treatments of electrolyzed water has no sign until day 10 of storage. Change in color difference(${\Delta}E$) during storage was observed the treatments of electrolyzed low-alkaline water(EW-2) and electrolyzed neutral water(EW-3) were very desirable at the level $1\~2$ after day 13 of storage comparative to the untreated Change of Chlorophyll content was biggest decreased to 6.8 $mg\%$ on the untreated and decreased least to 8.35 $mg\%$ on EW-3 treated group on 13th day from initial value of $9.0\~10.3\;mg\%$ The overall sensory evaluation appeared most acceptable in the treatments of EW-2 and EW-3.
Kim, Jin-Young;Lee, Seung Jae;jung, Suk;Park, Min-Soo;Kang, Chun-Goo;Im, Han-Sang;Kim, Jae-Sam
The Korean Journal of Nuclear Medicine Technology
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v.19
no.2
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pp.63-67
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2015
Purpose Among various causes that influence image quality degradation, various methods for decrease in Artifact occurred by respiration of patients are being used. Among them, this study intended to evaluate CTAC Shift correction method and additional scan compare to the Scan(Q static scan) using respiratory gated system. Materials and Methods This study was conducted on 10 patients, and used PET-CT Discovery 710 (GE Healthcare, MI, USA) and Varian's RPM system. 5.18 Mbq per kg of $^{18}F$-FDG was injected on patients, asked them to take a rest for 1 hour in the bed, and conducted test after urination. Images were visualized through Q static scan, CTAC Shift correction method, Additional scan based on the Whole body scan(WBS) with Artifact. Decrease in Artifact was compared in each image, conducted Gross Evalution, and measured changes of SUVmax. Results For image obtained through the CTAC Shift correction method through WBS with Artifact, 12~56%, Q static scan image showed 17~54% of change rate and Additional Scan showed -27~46% of change rate. In Blind Test, the CTAC Shift correction image showed the highest point with 4 points, Q static scan image showed 3.5 points, and Additional scan image showed 3.4 points. The standardized WBS scan through Oneway ANOVA and three types of Scan method showed significant difference(p<0.05), and did not show significant difference between the three Scan methods(p>0.05). However, the three Scan methods showed significant difference in Blind test. Conclusion Additional scan and Q static scan require more time than the CTAC Shift correction method, there is concern about excessive exposure to patients by CT rescan and Q static scan is difficult to apply on patients with inconsistent respiration or irregular respiration cycle due to pain. For CTAC Shift correction method, limited correction is possible and the range is limited as well. It is considered as a useful method of improving diagnostic value when hospitals use the system appropriately and develop various advantageous factors of each method.
Sanitary management practices were assessed to insure the safety of school foodservice, to prevent the outbreak of foodborne illness, and to improve the quality of school foodservice. To accomplish these objectives, a survey was conducted and analyzed on elementary and high school foodservice operations located in Seoul area. A Questionnaire from based on HACCP standards was developed and used for self-reported evaluation of the school foodservice managers on their sanitary management practices. The results were analysed by examining their activities and identifying weaknesses in those activities. The questionnaire was composed of three sectors with all 53 questions; 33 questions for time-temperature management, 5 for personal hygiene and 15 for equipment/facility sanitation. Five-point-scale was used on the questionnaire answers. Among the schools responded,253 (98.4% of the total) were elementary schools and 19 (1.6%) were high schools. Among the three sectors, personal hygiene performance was mostly well conducted by marking average 4.06$\pm$0.57. Equipment/facility sanitation came next by marking average 3.84$\pm$0.53. Time-temperature marked average 3.45$\pm$0.46. “Storage after cooking (2.03$\pm$0.94)”was identified as the least managed activities because the school foodservice operations were not equipped well with hot holding and/or cold holding. “Separate use of sink per usage (3.03$\pm$1.10)” and “proper location of hand washing facility (3.07$\pm$1.13))” were identified as the least practiced activities in equipment/facility sanitation sector. To enhance these practices, proper number of sinks and hand washing facilities should be equipped first within the kitchen area.
Fermentation characteristics with/without nitrogen source and quality of the fruit distillate of Opuntia ficus-indica var. saboten were investigated during the manufacturing process of a Korean traditional liquor. As the fermentation period increased, acidity, brix degree, and alcohol concentration increased, whereas pH and contents of reducing sugar decreased. Acidity, pH, and brix degree were higher, whereas the content of reducing sugar lower, in the nitrogen source-added distillate than in the distillate without nitrogen source. The growth of yeast increased, while that of bacteria decreased; this trend was more prominent with the addition of a nitrogen source. Sojues, distilled from two types of mashes and diluted with $H_2O$ and tails of distillate into 22% alcohol concentration, showed pH $3.7{\sim}4.0$, acidity $0.02{\sim}0.10$, and $5.4{\sim}6.1$$^{\circ}Brix$. Analysis through GC using direct injection methods revealed common volatile flavor compounds in sojues, including acetaldehyde, acetyl acetone, acetic acid ethyl ester, ethyl alcohol, 2-propyl alcohol, acetone, n-propyl alcohol, butanoic acid methyl ester, 2-phenyl ethanol, thymol, acetic acid phenyl ester, and vanillic aldehyde. As revealed through the sensory evaluation, no significant difference (p>0.05) in overall acceptability was shown among four experimental groups, while color and flavor showed significant differences(p<0.05).
To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.
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