A large amount of food waste in known to bring about many problems including environmental pollution. This study was carried out to investigate effective methods for reducing leftovers in the food service business & industry. The reasons for producing leftovers in food service restaurants, customers perferences of foods, cooking methods the degree of saltiness, and serving size were surveyed using questionnaire and the menu was improved based on the customers perferences. Excessively large serving sizes and the unfavorable cooking methods is food service were the main reason for the leftovers of side dish and one=dish foods. Because the largest amount of leftover came from soups & stews, an effective way of reducing leftovers in food service would be to reduce the serving size of soups & stews. Total leftovers was reduced to about 60% after improving menu (p<0.01) and the each leftover or rice, soup&stew, and side dishes was also reduced significantly after improving the menu(p<0.001) The environmental campaign to reduced food waste by bulletin intra-net using personal computers slogans & posters, and new letters was conducted for one week each and then leftovers were measured 9 times for following three weeks regularly. The total amount of leftovers decreased slightly due to the environmental campaign, but the difference was not significant. When we adopted penalty or prize system leftovers were decreased by about 35%(p<0.001) and the penalty system was more effective than the prize system in reducing leftover (p<0.001) When we compared the leftovers under the three services, a tray service was more effective in reducing leftover than complete self-service of partial self-service(p<0.001).
Awards and Prizes ; Commerce* ; Cooking ; Environmental Pollution ; Food Services* ; Microcomputers ; Restaurants ; Serving Size ; Surveys and Questionnaires

In neuropsychiatrical research, many problems of statistical inference concern the relationship between the PTSD and traumatic experiences. The logistic model is widely used for modeling a relationship between the covariate and the magnitude of the PTSD. A common complication in the logistic model for dichotomous response data is overdispersion. In this study, two different methods for analyzing dichotomous response data are illustrated and compared. One method is the logistic regression approach, where the numbers of dichotomous responses are predicted by the logistic function of covariates. The other one is the overdispersed logistic regression approach, where the overdispersion is measured by a scale parameter in the variance function of the dichotomous response. In dichotomous response model, when reponses are overdispersed, the overdispersed logistic regression produces more appropriate standard errors of the regression coefficients and the 95% confidence intervals of odds ratios. Therefore, in neuropsychiatrical research, it is recommended to examine the overdispersion problems for their data set before applying the logistic regression model.
Dataset ; Logistic Models ; Odds Ratio ; Stress Disorders, Post-Traumatic

In neuropsychiatrical research, many problems of statistical inference concern the relationship between the PTSD and traumatic experiences. The logistic model is widely used for modeling a relationship between the covariate and the magnitude of the PTSD. A common complication in the logistic model for dichotomous response data is overdispersion. In this study, two different methods for analyzing dichotomous response data are illustrated and compared. One method is the logistic regression approach, where the numbers of dichotomous responses are predicted by the logistic function of covariates. The other one is the overdispersed logistic regression approach, where the overdispersion is measured by a scale parameter in the variance function of the dichotomous response. In dichotomous response model, when reponses are overdispersed, the overdispersed logistic regression produces more appropriate standard errors of the regression coefficients and the 95% confidence intervals of odds ratios. Therefore, in neuropsychiatrical research, it is recommended to examine the overdispersion problems for their data set before applying the logistic regression model.
Dataset ; Logistic Models ; Odds Ratio ; Stress Disorders, Post-Traumatic

PURPOSE: Primary prostate sarcomas are a rare type of prostate cancer that account for less than 0.1% of primary prostate malignancies. We analyzed the experience of a single institution with prostate sarcoma over 20 years. MATERIALS AND METHODS: In this case series, the medical records of 20 patients with prostate sarcoma were reviewed from June 1990 to December 2013 to identify symptoms at presentation, diagnostic procedures, metastasis presence and development, histologic subtype, French Federation Nationale des Centres de Lutte Contre le Cancer grade, primary tumor grade and size, and treatment sequence, including surgery and preoperative and postoperative therapies. The average follow-up period was 23.6 months (range, 1.4-83.3 months). RESULTS: The average patient age was 46.3+/-16.7 years. Most patients presented with lower urinary tract symptoms (55%). The histologic subtype was spindle cell sarcoma in five patients (25%), rhabdomyosarcoma in three patients (15%), synovial sarcoma in three patients (15%), liposarcoma in three patients (15%), stromal sarcoma in three patients (15%), and Ewing sarcoma, nerve sheath tumor, and adenocarcinoma with sarcomatoid component (5% each). For liposarcoma, two patients were alive after complete surgical resection and had a good prognosis. At last follow-up, 15 patients had died of sarcoma. The 2- and 5-year actuarial survival rates for all 20 patients were 53% and 12%, respectively (medial survival, 20 months). CONCLUSIONS: The disease-specific survival rate of prostate sarcoma is poor. However, sarcoma that is detected early shows a better result with proper management including surgical intervention with radio-chemotherapy than with no treatment. Early diagnosis and complete surgical resection offer patients the best curative chance.
Adult ; Aged ; Humans ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Prognosis ; Prostatectomy/methods ; Prostatic Neoplasms/diagnosis/*pathology/therapy ; Retrospective Studies ; Sarcoma/diagnosis/*pathology/secondary/therapy ; Treatment Outcome ; Young Adult

Background: Mycobacterium avium subspecies paratuberculosis (MAP) causes a chronic and progressive granulomatous enteritis and economic losses in dairy cattle in subclinical stages.Subclinical infection in cattle can be detected using serum MAP antibody enzyme-linked immunosorbent assay (ELISA) and fecal polymerase chain reaction (PCR) tests. Objectives: To investigate the differences in blood parameters, according to the detection of MAP using serum antibody ELISA and fecal PCR tests. Methods: We divided 33 subclinically infected adult cattle into three groups: seronegative and fecal-positive (SNFP, n = 5), seropositive and fecal-negative (SPFN, n = 10), and seropositive and fecal-positive (SPFP, n = 18). Hematological and serum biochemical analyses were performed. Results: Although the cows were clinically healthy without any manifestations, the SNFP and SPFP groups had higher platelet counts, mean platelet volumes, plateletcrit, lactate dehydrogenase levels, lactate levels, and calcium levels but lower mean corpuscular volume concentration than the SPFN group (p < 0.017). The red blood cell count, hematocrit, monocyte count, glucose level, and calprotectin level were different according to the detection method (p < 0.05). The SNFP and SPFP groups had higher red blood cell counts, hematocrit and calprotectin levels, but lower monocyte counts and glucose levels than the SPFN group, although there were no significant differences (p > 0.017). Conclusions The cows with fecal-positive MAP status had different blood parameters from those with fecal-negative MAP status, although they were subclinically infected. These findings provide new insights into understanding the mechanism of MAP infection in subclinically infected cattle.