• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.1
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• pp.161-176
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• 2005

In a situation that ordinal preferences on multiattribute weights are captured, we present two solution approaches: an exact approach and an approximate method. The former, an exact solution approach via interaction with a decision-maker, pursues the progressive reduction of a set of non-dominated alternatives by narrowing down the feasible attribute weights region. Subsequent interactive questions and responses, however, sometimes may not guarantee the best alternative or a complete rank order of a set of alternatives that the decision-maker desires to have. Approximate solution approaches, on the other hand, can be divided into three categories including surrogate weights methods, dominance value-based decision rules, and three classical decision rules. Their efficacies are evaluated in terms of choice accuracy via a simulation analysis. The simulation results indicate that a proposed hybrid approach, intended to combine an exact solution approach through interaction and a dominance value-based approach, is recommendable for aiding a decision making in a case that a final choice is seldom made at single step under attribute weights that are imprecisely specified beyond ordinal descriptions.

• Korean Journal of Animal Reproduction
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• v.14 no.4
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• pp.289-296
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• 1990

This experiment was carried out to investigate the recovery period of estrus cycle, the pseudopregnancy period, weights of ovary, placenta and fetus, and number of litter of female rats after unilateral ovariectomy(ULO). The results obtained are as follows : 1. The estrus cycle was inclined to become normal from the second time. 2. The pseudopregnancy period of rats in unilaterally ovariectomized group and control group, and no significant difference in pseudopregnancy period was shown between the two groups. 3. The ovarian weights of each ULO group were significantly(P<0.01) heavier than that of the control group throughout the observation periods of pregnancy. 4. The placental weights of ULO group were not different from that of the control group in 10 and 15 days of pregnancy. But they became significantly (P<0.05) heavier in 20 days. 5. The weights of fetus in ULO at 10 days of pregnancy was not different from that ofthe control group, but the weights in ULO group at 15 and 20 days of pregnancy were significantly(P<0.01) heavier. 6. The number of litter in ULO was smaller than that of the control groups.

• Journal of Preventive Medicine and Public Health
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• v.37 no.1
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• pp.59-71
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• 2004

Objectives: This study aimed to measure the disability weights for the Korean Burden of Disease study, and to compare them with those adopted in the Australian study to examine the validity and describe the distinctive features. Methods : The standardized valuation protocol was developed from the Global Burden of Disease (GBD) study and the Dutch Disability Weights study. Disability weights were measured for 123 diseases of the Korean version of Disease Classification by three panels of 10 medical doctors each. Then, overall distribution, correlation coefficients, difference by each disease, and mean of differences by disease group were analyzed for comparison of disability weights between the Korean and Australian studies. Results : Korean disability weights ranged from 0.037 to 0.927. While the rank correlation coefficient was moderate to high ($r_s$=0.68), Korean disability weights were higher than the corresponding Australian ones in 79.7% of the 118 diseases. Of these, war, leprosy, and most injuries showed the biggest differences. On the contrary, many infectious and parasitic diseases comprised the greater part of diseases of which Korean disability weights were lower. The mean of the differ ences was the highest in injuries of GBD disease groups, and in cardiovascular disease, injuries, and malignant neoplasm of the Korean disease category. Conclusions : Korean disability weights were found to be valid on the basis of overall distribution pattern and correlation, and are expected to be used as basic data for broadening the scope of burden of disease study. However, some distinctive features still remain to be explored in following studies.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.1
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• pp.19-25
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• 2018

Objective: In practical breeding, selection is often performed by ignoring the accuracy of evaluations and applying economic weights directly to the selection index coefficients of genetically standardized traits. The denominator of the standardized component trait of estimated genetic evaluations in practical selection varies with its reliability. Whereas theoretical methods for calculating the selection index coefficients of genetically standardized traits account for this variation, practical selection ignores reliability and assumes that it is equal to unity for each trait. The purpose of this study was to clarify the effects of ignoring the accuracy of the standardized component trait in selection criteria on selection responses and economic weights in retrospect. Methods: Theoretical methods were presented accounting for reliability of estimated genetic evaluations for the selection index composed of genetically standardized traits. Results: Selection responses and economic weights in retrospect resulting from practical selection were greater than those resulting from theoretical selection accounting for reliability when the accuracy of the estimated breeding value (EBV) or genomically enhanced breeding value (GEBV) was lower than those of the other traits in the index, but the opposite occurred when the accuracy of the EBV or GEBV was greater than those of the other traits. This trend was more conspicuous for traits with low economic weights than for those with high weights. Conclusion: Failure of the practical index to account for reliability yielded economic weights in retrospect that differed from those obtained with the theoretical index. Our results indicated that practical indices that ignore reliability delay genetic improvement. Therefore, selection practices need to account for reliability, especially when the reliabilities of the traits included in the index vary widely.

• Toxicological Research
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• v.22 no.4
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• pp.339-348
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• 2006

Misaengtang (MST), a formula of Korean herbal medicines, has been used as a weight-controlling recipe. We have investigated two experiment of body weight regulation by MST In rats. i) The anti-obesity effect of MTS on a high fat diet-induced obesity, male Sprague-Dawley rats were fed with a high-fat diet containing 30% in the absence or presence of MST (0.3, 1 or 3%) or a reference orlistat (0.05%) for 6 weeks. ii) weight-decrease effect of MST on normal diet, same animal were fed with a normal diet in the absence or presence of MST (3%) for 6 weeks. And the body weights, daily feed and water consumptions, organ weights, fat weights serum biochemistry were measured. In both experiments, MST and orlistat did not affect the body weight gain. But orlistat significantly increased the feed and water consumptions, leading to low-feed efficiency, and orlistat markedly reduced abdominal, paratesticular and perirenal fat weights, although increased the kidney weights. In MST, low dose (0.3%) of MST decreased the perirenal fat and increased the kidney weights in rats fed HFD, and MST 3% decreased the abdominal fat weights in rats fed normal diet. In addition, Orlistat caused changes in parameters of hepatotoxicity (AST and glucose), nephrotoxicity (BUN and B/C ratio) and lipid metabolism (HDL and triglycerides). In comparison, MST decreased AST, ALP and ALT, the hepatotoxicity markers, and somewhat improved the hepatic fatty degeneration. Taken together, it is suggested that MST does not exert anti-obesity activity as well as remarkably direct effects, but MST may be potentially benefit for dietary cure and exercise-cure of obesity.

• Korean Journal of Poultry Science
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• v.22 no.1
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• pp.1-6
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• 1995

A total of 514 birds were used to investigate the influence of body weight and shank length at hatch on the body weights at various ages in growing pheasant. Statistical model included the terms of hatch and sex as fixed effects and the two covariates of body weight and shank length at hatch. In this model, the effects of hatch and sex on the body weights at the age of 4, 8, 12, 16 and 20 wk, and the average daily gains from hatch to 8 wk and from 8 to 16 wk of age were highly significant(P<0.01). All the regression coefficients of body weights and average daily gains on the body weight at hatch were also significant(P<0.01). Their estimates were 3.05.7.21. 13.89, 15.18 and 15.33 for the body weights at 4. 8, 12, 16 and 20 wk of age ; 0.111 and 0.142 for the average daily gains from hatch to 8 wk, and from 8 to 16 wk of age, respectively. On the shank length, only the regression coefficients of the body weights at 4 and 8 wk of age and the average daily gains from hatch to 8 wk of age were significant(P<0.01). Results of this study suggest that body weight at hatch do significantly affect the body weights in the growing periods up to' the 20 wk of age, but the shank length at hatch influences the body weights only at early age.1)

• Korean Journal of Veterinary Service
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• v.34 no.1
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• pp.63-68
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• 2011

The present study was devised to determine the effects of body weight, organ weight, hematological values and biochemical parameters by vitamin E and selenium (Selevit) on the Orch rats. The animals were divided into 4 groups. Intact group (n=10) received no treatment and operation. Sham group (n=10) received only sham operation and no treatment. Orch group received operation and no treatment. Orch+Selevit received operation and Selevit. The body weights of each group increased, but that of the Orch+Selevit group were significantly lower than those of all the other groups. There were significant differences (P<0.001) of body weights between Orch+Selevit group and all the other groups. Also, organ weights such as heart, liver, spleen and kidney were measured. The heart weights were significantly lower (P<0.001) in the Orch+Selevit group than in Intact and Sham group. The liver weights in the Orch+Selevit group were significantly differences (P<0.001) in comparison with those in the Intact and Sham groups. The kidney weights in the Orch+Selevit group were significantly differences (P<0.01, P<0.001) in comparison with those in all the other groups. On the other hand, there were no significantly differences in the organ weights of spleen between the Orch+Selevit groups and the any other groups. The number of white blood cell (WBC) was significantly higher (P<0.05) in the Orch+Selevit group than in all the other groups. The hematological values of red blood cell (RBC), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) were not significantly different in any of the groups. The concentrations of serum total protein, albumin and alkaline phosphatase increased significantly (P<0.05, P<0.01) in the Orch+Selevit group as compared to that in the Orch group. However, there were no significant differences in AST and ALT in any other groups. We conclude that Selevit was significantly decreased the body weight in the orchidectomized rats. Our findings suggest that Selevit may influence the process of lipid packaging and absorption in the orchidectomized rats.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.1087-1116
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• 2005

This research examines performance evaluatees' opinions regarding the institutional performance evaluation systems of Government S&T Research Institutes (GRI). Research methodology is as follows: first, four perspectives of Kaplan & Norton (1992) Balanced Scorecard Model are revised into six perspectives suitable to GRI's characteristics. Second, experts classify current performance evaluation measures into the six perspectives. This enables different evaluation systems of three GRI evaluation groups to be compared under the same evaluation measures. Third, GRI's evaluatees are asked to allocate ideal weights on the performance measures. The evaluatees' weights are compared with the weights of current performance measures, and the characteristics of evaluatees' opinions about current performance evaluation systems are analyzed. Results are as follows; first, six perspectives for Korean GRIs are financial, long-term outcome, short-term outcome, strategic direction, project management, human resources perspectives. second, GRI evaluation systems put the most weights on the long- and short-term outcome perspectives and the least weights on the financial perspective. This result complies with theoretical model: in performance evaluation of GRIs, the customer perspective is the most important one while the financial perspective is the least important one. Third, evaluatees think that the long-term outcome perspective of the Basic-technology GRI group and the short-term outcome perspective of the Applied-technology GRI Group needs more weight. Fourth, it is found that the current systems have more weights on the project management and strategic direction perspectives than evaluatees think. The possible explanation of this result would be that since the measures of these perspectives are relatively easier to set up than those of other perspectives, the current systems contains larger number of measures and, accordingly more weights.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.6
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• pp.729-732
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• 2000

Weight records from birth to calving and calving scores of 407 two-year old heifers and weights of their offspring from birth to one year of age were used to study the effects of sire birth weight on maternal traits of their female progeny. The heifers (G1) were the progeny of 81 sires (G0) and were classified into three classes based on their sires' birth weights (High, Medium and Low). The heifers were from three distinct breed-groups and were mated to bulls with medium birth weights within each breed-group to produce the second generation (G2). The data were analyzed using a covariance model. The female progeny of high birth-weight sires were heavier from birth to calving than those sired by medium and low birth-weight bulls. The effect of sire birth weight on calving difficulty scores of their female progeny was not significant. Grand progeny (G2) of low birth-weight sires were lighter at birth than those from high birth-weight sires (p<0.05) but they did not differ significantly in weaning and yearling weights with the other two Grand progeny groups. The results indicated that using low birth weight sires would not result in an increase in the incidence of dystocia among their female progeny calving at two-year of age and would not have an adverse effect on weaning and yearling weights of their grand progeny.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.631-634
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• 2004

In this paper, the Bayesian recurrent neural network (BRNN) is proposed to predict time series data. Among the various traditional prediction methodologies, a neural network method is considered to be more effective in case of non-linear and non-stationary time series data. A neural network predictor requests proper learning strategy to adjust the network weights, and one need to prepare for non-linear and non-stationary evolution of network weights. The Bayesian neural network in this paper estimates not the single set of weights but the probability distributions of weights. In other words, we sets the weight vector as a state vector of state space method, and estimates its probability distributions in accordance with the Bayesian inference. This approach makes it possible to obtain more exact estimation of the weights. Moreover, in the aspect of network architecture, it is known that the recurrent feedback structure is superior to the feedforward structure for the problem of time series prediction. Therefore, the recurrent network with Bayesian inference, what we call BRNN, is expected to show higher performance than the normal neural network. To verify the performance of the proposed method, the time series data are numerically generated and a neural network predictor is applied on it. As a result, BRNN is proved to show better prediction result than common feedforward Bayesian neural network.