Hu, Wenping;Boerman, Jacquelyn P.;Aldrich, James M.
Asian-Australasian Journal of Animal Sciences
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v.30
no.8
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pp.1105-1116
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2017
Objective: A meta-analysis was conducted to evaluate the effects of supplemental fat containing saturated free fatty acids (FA) on milk performance of Holstein dairy cows. Methods: A database was developed from 21 studies published between 1991 and 2016 that included 502 dairy cows and a total of 29 to 30 comparisons between dietary treatment and control without fat supplementation. Only saturated free FA (>80% of total FA) was considered as the supplemental fat. Concentration of the supplemental fat was not higher than 3.5% of diet dry matter (DM). Dairy cows were offered total mixed ration, and fed individually. Statistical analysis was conducted using random- or mixed-effects models with Metafor package in R. Results: Sub-group analysis showed that there were no differences in studies between randomized block design and Latin square/crossover design for dry matter intake (DMI) and milk production responses to the supplemental fat (all response variables, $p{\geq}0.344$). The supplemental fat across all studies improved milk yield, milk fat concentration and yield, and milk protein yield by 1.684 kg/d (p<0.001), 0.095 percent unit (p = 0.003), 0.072 kg/d (p<0.001), and 0.036 kg/d (p<0.001), respectively, but tended to decrease milk protein concentration (mean difference = -0.022 percent unit; p = 0.063) while DMI (mean difference = 0.061 kg/d; p = 0.768) remained unchanged. The assessment of heterogeneity suggested that no substantial heterogeneity occurred among all studies for DMI and milk production responses to the supplemental fat (all response variables, $I^2{\leq}24.1%$; $p{\geq}0.166$). Conclusion: The effects of saturated free FA were quantitatively evaluated. Higher milk production and yields of milk fat and protein, with DMI remaining unchanged, indicated that saturated free FA, supplemented at ${\leq}3.5%$ dietary DM from commercially available fat sources, likely improved the efficiency of milk production. Nevertheless, more studies are needed to assess the variation of production responses to different saturated free FA, either C16:0 or C18:0 alone, or in combination with potentially optimal ratio, when supplemented in dairy cow diets.
Park, Jin-Hee;Bae, Sun Hyoung;Jung, Yong-Sik;Jung, Young-Mi
Journal of Korean Academy of Nursing
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v.45
no.1
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pp.118-128
/
2015
Purpose: Evidence suggests that some patients with breast cancer experience cognitive difficulties following chemotherapy. This longitudinal study was done to examine the prevalence of cognitive impairment and trajectory of cognitive function over time in women with breast cancer, who received adjuvant chemotherapy. Methods: Participants were 137 patients with breast cancer. They completed neuropsychological tests and the Functional Assessment of Cancer Therapy-Cognitive Function before adjuvant therapy (pretest), toward the end of adjuvant therapy (posttest), and 6 months after the completion of adjuvant therapy (follow-up test). Of the patients, 91 were treated with adjuvant chemotherapy and 46 patients who did not receive chemotherapy made up the comparison group. A reliable-change index and repeated-measure ANOVA were used for statistical analyses. Results: At the posttest point, over 30% of patients showed complex cognitive impairment and reported greater difficulty in subjective cognitive function. At the follow-up test point, 22.0% of patients exhibited complex cognitive impairment and 30.8% of patients complained of subjective cognitive impairment. Repeated-measure ANOVA showed significant decreases after receiving chemotherapy followed by small improvements 6 months after the completion of chemotherapy in cognitive domains of change for attention and concentration, memory, executive function, and subjective cognitive function. Conclusion: These results suggest that chemotherapy in patients with breast cancer may be associated with objective and subjective cognitive impairments. Further studies are needed to explore the potential risk factors and predictor of chemotherapy-related cognitive changes. Also nursing interventions for prevention and intervention of cognitive impairments should be developed and tested.
Objective: This study was performed to investigate the alveolar bone of lower incisors in skeletal Class III adults of different vertical facial patterns and to compare it with that of Class I adults using cone-beam computed tomography (CBCT) images. Methods: CBCT images of 90 skeletal Class III and 29 Class I patients were evaluated. Class III subjects were divided by mandibular plane angle: high (SN-MP > $38.0^{\circ}$), normal ($30.0^{\circ}$ < SN-MP < $37.0^{\circ}$), and low (SN-MP < $28.0^{\circ}$) groups. Buccolingual alveolar bone thickness was measured using CBCT images of mandibular incisors at alveolar crest and 3, 6, and 9 mm apical levels. Linear mixed model, Bonferroni post-hoc test, and Pearson correlation analysis were used for statistical significance. Results: Buccolingual alveolar bone in Class III high, normal and low angle subjects was not significantly different at alveolar crest and 3 mm apical level while lingual bone was thicker at 6 and 9 mm apical levels than on buccal side. Class III high angle group had thinner alveolar bone at all levels except at buccal alveolar crest and 9 mm apical level on lingual side compared to the Class I group. Class III high angle group showed thinner alveolar bone than the Class III normal or low angle groups in most regions. Mandibular plane angle showed negative correlations with mandibular anterior alveolar bone thickness. Conclusions: Skeletal Class III subjects with high mandibular plane angles showed thinner mandibular alveolar bone in most areas compared to normal or low angle subjects. Mandibular plane angle was negatively correlated with buccolingual alveolar bone thickness.
The Border Area Support Act(2000) has policy goal convergence to improve living conditions, to conserve natural environment, and to prepare national unification in this area. The purpose of this study is to evaluate whether the support until now meet the policy goal or set a question on policy itself. Variation of statistical indicators related with policy goal for the period 2000-2014 has analyzed and compared with local government's evaluation report. It is found out that resident's living condition has improved in spite of several political fallacies, but the support policy can damage natural environment and cause conflict with military regulations constantly. Under current inter-Korean relation, it is desirable to minimize conflicts between political bodies in Border Area.
Fault detection of cycle-based signals is typically performed using statistical approaches. Univariate SPC using few representative statistics and multivariate analysis methods such as PCA and PLS are the most popular methods for analyzing cycle-based signals. However, such approaches are limited when dealing with information-rich cycle-based signals. In this paper, process fault defection method based on wavelet analysis is proposed. Using Haar wavelet, coefficients that well reflect the process condition are selected. Next, Hotelling's $T^2$ chart using selected coefficients is constructed for assessment of process condition. To enhance the overall efficiency of fault detection, the following two steps are suggested, i.e. denoising method based on wavelet transform and coefficient selection methods using variance difference. For performance evaluation, various types of abnormal process conditions are simulated and the proposed algorithm is compared with other methodologies.
A survey was implemented to suggest basic data for assuring the safety of cooked foods in foodbank operations. A questionnaire consisted of total 48 items including general characteristics, basic inputs and perceived importance/performance of sanitary management. One hundred twenty-eight responses among the 267 nationwide foodbanks were used for the statistical analysis. About forty-one percent of foodbanks was operated a period of 1-3 years and 43.0% of them were managed by social welfare organizations. The number of staff was only 0.5 person per operation with the whole responsibility and 1.0 with additional work, and thus most of the work was managed by volunteers. Job satisfaction was shown to be moderate and was affected by specialty and salary mostly. The facilities and equipment in foodbanks were not enough to operate and freezers/refrigerators were the top priority to supplement. Most of the respondents attended a nationwide level sanitary education program (79.7%); but complained not enough frequency of education (90%). The sanitary status of the donated foods was considered as satisfactory but some safety practices had to be improved, including personnel expenses and operating costs in the district level, a sanitary awareness of the donors and a general management of the facilities arid equipment. An assessment on sanitary management resulted in an overall average of 4.45 out of 5 points in importance and 3.85 in performance showing the high level of sanitation perception in foodbank managers. From the IPA analysis, the fields found to be improved were sanitation management during cooking and temperature control as well as cleanliness and sanitation of both transport vehicle and refrigerator/freezer. To secure the food safety in foodbanks, consequently, personnel support, supplement of facilities and equipment, intense sanitation education and development of sanitation management program is needed.
Objective : Health insurers and policy makers are increasingly examining the hospital mortality rate as an indicator of hospital quality and performance. To be meaningful, a risk-adjustment of the death rates must be implemented. This study reviewed 5 severity measurement methods and applied them to the same data set to determine whether judgments regarding the severity-adjusted hospital mortality rates were sensitive to the specific severity measure. Methods : The medical records of 584 patients who underwent coronary artery bypass graft surgery in 6 general hospitals during 1996 and 1997 were reviewed by trained nurses. The MedisGroups, Disease Staging, Computerized Severity Index, APACHE III and KDRG were used to quantify severity of the patients. The predictive probability of death was calculated for each patient in the sample from a multivariate logistic regression model including the severity score, age and sex to evaluate the hospitals' performance, the ratio of the observed number of deaths to the expected number for each hospital was calculated. Results : The overall in-hospital mortality rate was 7.0%, ranging from 2.7% to 15.7% depending on the particular hospital. After the severity adjustment, the mortality rates for each hospital showed little difference according to the severity measure. The 5 severity measurement methods varied in their statistical performance. All had a higher c statistic and $R^2$ than the model containing only age and sex. There was a little difference in the relative hospital performance evaluation by the severity measure. Conclusion : These results suggest that judgments regarding a hospital's performance based on severity adjusted mortality can be sensitive to the severity measurement method. Although the 5 severity measures regarding hospital performance concurred, more often than would be expected by chance, the assessment of an individual hospital mortality rates varied by the different severity measurement method used.
The concectration and distribution of contaminants obtained from a contaminated land investigation or an environmental geochemistry survey constitutes the basis of a decision-making process on environmental policies or of scientific researches. As the quality of data determines the reliability of the result, the investigation plan should be adjusted according to the purpose of the investigation. In general, the effort to improve the data quality had been focused mainly on the QA/QC procedures in laboratories. The rapid progress of analytical instrument has also contributed toward improving the analytical precision to a sacrificable degree. Nevertheless, in many cases, it is not the analytical precision that needs improvement for the better precision of overall measurement process: it is rather during the sampling process in the field that is responsible for the poor precision. To assess the data quality on a measured value, ISO recommends to provide information on "measurement uncertainty" along with the measured value. The measurement uncertainty in an environmental measurement context can be explained as the statistical number that expresses the degree of the uncertainty stemming from the sampling and analytical procedures. There is a cost involved in order to improve the precision of sampling and analytical methods so as to decrease the degree of measurement uncertainty. The economical point of compromise in an investigation planning can be achieved when the allowable degree of uncertainty has been set before-hand. The investigation can then be planned accordingly not to exceed the uncertainty limit. Furthermore, if the measurement uncertainty estimated from the preliminary investigation can be separated into sampling and analytical uncertainties, it can be used as a criterion where the resources for the investigation should be allotted cost-effectively to reinforce the weakest link of the whole investigation process. This paper aims to present a method of estimating the level of measurement uncertainty of a measured contamination concentration at a site used as an example and to show how the estimated uncertainty can be applied to serve the particular purpose of an investigation.
The proportion of the elderly in rural area(21.7%) is four times more than that of the urban area (5.4%) in Korea. With this rapid aging of the population in rural Korea there has been growing concern about the quality of life of rural elderly. Compare to urban elderly, rural elderly experience many disadvantages, especially in terms of limited offering of social/educational programs. Their social/educational needs are rarely assessed and there are few programs geared to the needs of rural elderly. In this regard, this study aims (1) to identify education and activity program needs of the rural elderly related to three dimensions: Family life, Farming life, and Community activities and (2) to develop education and activity programs for the rural elderly based on the needs assessment. For this purpose, data are gathered from 413 rural elderly and 110 community welfare specialists, using a structured questionaire. The statistical methods used for data analysis are descriptive statistics, cross tables with SPSS wins 10.0 program. The major findings of this study are as follows: Majority(94.1%) of the rural elderly wants to participate in diverse social/educational programs. They want to have programs dealing with 'relationship enhancement with children', 'nutrition', 'health and care', 'farming skill', 'gardening', 'volunteering', etc. Based on these results, we develop eight types of education program and four types of activity program, according to the priority of their needs in each dimension. There are four sessions of Family life program, and four sessions of Community activities program. The effect of these programs will be evaluated by taking pretest and protest in local basis.
Jo, Yeseul;Park, Sujin;Jeong, Miae;Lee, Jeonghee;Yoo, Rheehwa;Kim, Cheolmin;Lee, Sangtae
Journal of Environmental Health Sciences
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v.44
no.3
/
pp.205-216
/
2018
Objectives: Scientific verification for health effects has been constantly demanded through the forest healing factors. In this study, phytoncide concentration which is one of the forest healing factors, was investigated according to stand density, season and visiting time, and analyzed correlation with micrometeorology factors. Methods: Total volatile organic compounds (TVOCs) and Natural volatile organic compounds (NVOCs) were collected using a measuring instrument which is connected to an air pump with the Tenax TA tube. The 32NVOCs were selected through the detailed criteria of adequacy assessment for recreational forest. The statistical analysis (correlation and stepwise regression analysis) was conducted between phytoncide concentration and micrometeorology factors. Results: NVOCs concentration linearly increased according to stand density. The high level showed in the summer (p<0.05), and there is no significant difference according to visiting hours of the Healing forest. NVOCs is a negative correlation with solar radiation, PAR and wind direction, and a positive correlation with relative humidity and temperature (p<0.01). NVOCs increased following the increase of humidity and temperature ($R^2=0.55$). Conclusions: Phytoncide linearly increased according to stand density, and showed the correlation significantly with microclimate factors. In future, these results will be utilized as a basic material to promote the generation of phytoncide, which positively influences human health promotion and manage the forest welfare space.
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