• Journal of the Korean Chemical Society
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• v.51 no.6
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• pp.549-559
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• 2007

The purpose of this study was to investigate cognitive acceleration effect of the experimental group over three years compared with the control group through the ‘Thinking Science' program in the middle school students. The ‘Thinking Science' program was implemented to 168 students in 7th grade over a period of two years. After implementation of the ‘Thinking Science' program, the improvement of formal thinking ability of the students was almost twice examined with SRT VII as the post-test and the delayed test. It was shown that by the end of the implementation period the experimental group had achieved a significantly greater gain score in levels of cognitive development than had the control group. In the subsequent year during which there was no further implementation, the experimental group continued to develop at the same rate as the control group. However, it is clear that much more experimental students in mature concrete operational stage shifted to formal operational stage in delayed test. The results were also analyzed by gender, and cognitive levels of the students. In the post-test, the ratio of girls that shifted to formal operation stage in the experimental group increased as compared with the ratio of boys, while, in the delayed test cognitive level of boys was more effective than that of girls.

• Herbal Formula Science
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• v.31 no.1
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• pp.53-65
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• 2023

Objectives : Present study investigated the hepatoprotective effects and the optimal mixing ratio of fermented Schizandrae Fructus Pomace (fSFP) and Hoveniae Semen Cum Fructus (HSCF) extract combination in carbon tetrachloride (CCl₄)-induced acute liver injury mice. Methods : ICR mice were orally administered with 200 mg/kg of fSFP, HSCF and mixtures of fSFP and HSCF [MSH (w:w); 1:1, 1:2, 1:4, 1:6, 2:1, 4:1, 6:1, and 8:1] for 7 consecutive days. Silymarin (100 mg/kg) was administered as a reference drug. 0.5 mL/kg of CCl₄ was injected intraperitoneally to induce acute liver injury. Body weight gain, relative liver weight, serum chemistry, histopathological analysis, and hepatic endogenous antioxidants capacities were observed. Results : All diverse combinations of MSH significantly reduced relative liver weight increase by CCl₄. In addition, MSH administrations significantly decreased the elevation of serum alanine aminotransferase and aspartate aminotransferase activities by CCl₄. Histopathological observation indicated that all MSH treatments significantly reduced the increase of degenerated hepatocytes, inflammatory cell infiltration, and histological activity index score by CCl₄. Moreover, all MSH administrations reduced the elevation of malondialdehyde contents, and ameliorated the reduction of hepatic glutathione contents, superoxide dismutase activity, and catalase activity. Among the various mixing ratio of MSH combinations, MSH 1:1 and 2:1 showed the most potent anti-oxidative stress, and hepatoprotective effect. Conclusion : Present results suggest that 1:1 and 2:1 combinations of MSH is promising herbal formulation with the hepatoprotective effect against oxidative stress.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3913-3923
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• 2023

Todays, medium energy resolution detectors are preferably used in radioisotope identification devices(RID) in nuclear and radioactive material categorization. However, there is still a need to develop or enhance « automated identifiers » for the useful RID algorithms. To decide whether any material is SNM or NORM, a key parameter is the better energy resolution of the detector. Although masking, shielding and gain shift/stabilization and other affecting parameters on site are also important for successful operations, the suitability of the RID algorithm is also a critical point to enhance the identification reliability while extracting the features from the spectral analysis. In this study, a RID algorithm based on Bayesian statistical method has been modified for medium energy resolution detectors and applied to the uranium gamma-ray spectra taken by a LaBr3:Ce detector. The present Bayesian RID algorithm covers up to 2000 keV energy range. It uses the peak centroids, the peak areas from the measured gamma-ray spectra. The extraction features are derived from the peak-based Bayesian classifiers to estimate a posterior probability for each isotope in the ANSI library. The program operations were tested under a MATLAB platform. The present peak based Bayesian RID algorithm was validated by using single isotopes(²⁴¹Am, ⁵⁷Co, ¹³⁷Cs, ⁵⁴Mn, ⁶⁰Co), and then applied to five standard nuclear materials(0.32-4.51% at.²³⁵U), as well as natural U- and Th-ores. The ID performance of the RID algorithm was quantified in terms of F-score for each isotope. The posterior probability is calculated to be 54.5-74.4% for ²³⁸U and 4.7-10.5% for ²³⁵U in EC-NRM171 uranium materials. For the case of the more complex gamma-ray spectra from CRMs, the total scoring (ST) method was preferred for its ID performance evaluation. It was shown that the present peak based Bayesian RID algorithm can be applied to identify ²³⁵U and ²³⁸U isotopes in LEU or natural U-Th samples if a medium energy resolution detector is was in the measurements.

• Journal of Animal Science and Technology
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• v.47 no.5
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• pp.731-744
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• 2005

Ninety Hanwoo steers(initial BW=167.2$\pm$13.4kg) were used to determine the effect of energy concentrations in concentrates and slaughter age on performance, carcass characteristics. Steers were allotted by BW to one of eighteen pens. Eighteen pens were randomly allotted to a low(70-70-71-72% for the growing, the early, the middle or the late fattening periods), medium(70-71-72-73%) or high(70-72- 73-74%) TDN level of concentrates. Five steers for each treatment of energy level were slaughtered every one month from 26 month of age to 31 month of age. Concentrates was fed restrictedly to achieve a predicted gain of 0.7-0.9kg from growing stage to middle fattening stage. All steers were fed orchard grass(Dactylis glomerata L.) hay as roughage during the growing period, fed rice straw gradually substituted for orchard grass hay during the early fattening period, and fed rice straw only thereafter. Overall body weight and feed intake were not affected by TDN levels of concentrates. Average daily gain for all treatments was higher than 0.9kg/d during the 19-21 month of age and decrease thereafter, but sustained above 0.7kg/d. Mean concentrates intake for all treatments was 1.0-1.3% of live BW during the growing period and 1.5% during the early fattening. Thereafter, it decreased up to 1.4% during the middle fattening and 1.0% during late fattening period. Delay of slaughter end point resulted in a gradual increase of rib-eye area, back fat thickness and marbling score, especially after slaughter age of 29 month there was significant increases(P<0.05). The appearance rate of 1+ and 1 grade related to the slaughter ages was 100% at 29, 30 and 31 months of age, whereas those at 26, 27 and 28 months were 93, 86 and 80%, respectively. Dressing rate was significantly(P<0.05) increased and rate of retailed cut weight significantly(P<0.05) decreased when slaughter age increased. In economic analysis, there was pronounced increase in net income up to 32-46% after slaughter age of 29 months. Under the conditions of this study, high TDN intake is not necessarily required for high quality Hanwoo meat production and slaughter age of 29 month might be the optimum for Hanwoo steers.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.39-70
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• 2017

Data-drive analytics techniques have been recently applied to public surveys. Instead of simply gathering survey results or expert opinions to research the preference for a recently launched product, enterprises need a way to collect and analyze various types of online data and then accurately figure out customer preferences. In the main concept of existing data-based survey methods, the sentiment lexicon for a particular domain is first constructed by domain experts who usually judge the positive, neutral, or negative meanings of the frequently used words from the collected text documents. In order to research the preference for a particular product, the existing approach collects (1) review posts, which are related to the product, from several product review web sites; (2) extracts sentences (or phrases) in the collection after the pre-processing step such as stemming and removal of stop words is performed; (3) classifies the polarity (either positive or negative sense) of each sentence (or phrase) based on the sentiment lexicon; and (4) estimates the positive and negative ratios of the product by dividing the total numbers of the positive and negative sentences (or phrases) by the total number of the sentences (or phrases) in the collection. Furthermore, the existing approach automatically finds important sentences (or phrases) including the positive and negative meaning to/against the product. As a motivated example, given a product like Sonata made by Hyundai Motors, customers often want to see the summary note including what positive points are in the 'car design' aspect as well as what negative points are in thesame aspect. They also want to gain more useful information regarding other aspects such as 'car quality', 'car performance', and 'car service.' Such an information will enable customers to make good choice when they attempt to purchase brand-new vehicles. In addition, automobile makers will be able to figure out the preference and positive/negative points for new models on market. In the near future, the weak points of the models will be improved by the sentiment analysis. For this, the existing approach computes the sentiment score of each sentence (or phrase) and then selects top-k sentences (or phrases) with the highest positive and negative scores. However, the existing approach has several shortcomings and is limited to apply to real applications. The main disadvantages of the existing approach is as follows: (1) The main aspects (e.g., car design, quality, performance, and service) to a product (e.g., Hyundai Sonata) are not considered. Through the sentiment analysis without considering aspects, as a result, the summary note including the positive and negative ratios of the product and top-k sentences (or phrases) with the highest sentiment scores in the entire corpus is just reported to customers and car makers. This approach is not enough and main aspects of the target product need to be considered in the sentiment analysis. (2) In general, since the same word has different meanings across different domains, the sentiment lexicon which is proper to each domain needs to be constructed. The efficient way to construct the sentiment lexicon per domain is required because the sentiment lexicon construction is labor intensive and time consuming. To address the above problems, in this article, we propose a novel product reputation mining algorithm that (1) extracts topics hidden in review documents written by customers; (2) mines main aspects based on the extracted topics; (3) measures the positive and negative ratios of the product using the aspects; and (4) presents the digest in which a few important sentences with the positive and negative meanings are listed in each aspect. Unlike the existing approach, using hidden topics makes experts construct the sentimental lexicon easily and quickly. Furthermore, reinforcing topic semantics, we can improve the accuracy of the product reputation mining algorithms more largely than that of the existing approach. In the experiments, we collected large review documents to the domestic vehicles such as K5, SM5, and Avante; measured the positive and negative ratios of the three cars; showed top-k positive and negative summaries per aspect; and conducted statistical analysis. Our experimental results clearly show the effectiveness of the proposed method, compared with the existing method.

• Korean Journal of Ecology and Environment
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• v.44 no.3
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• pp.253-263
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• 2011

This study was conducted to gain preliminary data for restoration and management of constructed small-scale ponds in paddy fields through analysis of their physicochemical and biological properties. A field survey was performed at 13 small-scale ponds located in paddy fields from August 2009 to October 2010. Structural properties, water quality, soil characteristics and fish fauna were measured. Results showed that small-scale ponds without frames might lose their function over time because of crumbling walls. Therefore, it is necessary for these ponds to have frames for soil protection and sustainable maintenance. Chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP) concentration were higher than the water quality standard for agricultural water in small-scale ponds. In particular, TN concentration was 8.03 mg $L^{-1}$ and over 8 times the water quality standard because of the presence of livestock such as cows and pigs in the study areas. Sand, organic matter and available phosphorus contents of soil in small-scale ponds was 53.4${\pm}$16.6%, 21.8${\pm}$9.74 g $kg^{-1}$ and 12.8${\pm}$7.59 mg $kg^{-1}$, respectively indicating that sand and available phosphorus contents were suitable for plants in small-scale ponds, but organic matter contents was somewhat low in newly constructed small-scale ponds, and would take some time to stabilize for plant growing. Fish fauna was not diverse with only 4 species at all sites surveyed. Collected fishes share a common feature that they all inhabit paddy fields or canals with shallow water depth. In this study, all ponds were not linked to the streams and canals around them. It appears that connection to adjacent streams was the major factor controlling fish fauna in small-scale ponds. The results of statistical analysis were classified into three groups. Factor 1 was 26.3%, which shows a structural properties such as area and depth of small-scale pond. As for factor 2, it appears on 20.1%, showing water quality like a TP, suspended solids (SS) and COD. Small-scale ponds were classified into three groups by factor scores. Group I consisted of 6 small-scale ponds, which were larger than the others. Group III had higher water quality than the others. We conclude that the most important points to be considered for restoration and management of small-scale ponds is connection with adjacent streams or ditches and depth and size of the small-scale pond.

• Journal of Animal Science and Technology
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• v.44 no.6
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• pp.643-652
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• 2002

Data were consisted of the ten body measurements (withers height, rump height, body length, chest depth, chest width, rump width, rump length, thurls width, hipbone width and chest girth) of 642 steers (Korean cattle), which was entered in the National Beef Quality Contest hosted by the Korea Animal Improvement Association from 1997 to 2001. A principal components analysis was used to classify the body types of the steers, and estimate the correlations between carcass traits and principal components for the body measurements of the first, second, third and fourth period, respectively. The first principal component of body measurements at the first, second, third and fourth period accounted for 76.0%, 83.0%, 72.7% and 57.4% of the total variance, respectively. The sum of first, second and third principal component at each period accounted for 86.69%, 90.49%, 84.62% and 77.26% of the total variance, respectively. At each period, all the first principal component of the body measurements were positive and it generally showed large framed body shape. The size of body was influenced mostly by chest depth(0.328${\sim}$0.339) and rump length(0.325${\sim}$0.341). The second, third and fourth principal component at the each period were various. There were positive correlations between principal components index of each period and carcass traits such as carcass weight(0.539${\sim}$0.755), average daily gain(0.256${\sim}$0.564), backfat thickness(0.227${\sim}$0.280), and eye muscle area(0.187${\sim}$0.344). The correlation with yield grade index(－0.246${\sim}$－0.110), however, was negative. The correlation with marbling score(0.066${\sim}$0.099) was low or statistically insignificant. According to principal component indexes of the second, third, and fourth components, the correlations with the carcass traits were various. There were no large differences between the correlations of the single body measurement trait with the carcass traits and the correlations of the first principal component indexes with the carcass traits.

• The Journal of Korean Academic Society of Nursing Education
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• v.4 no.2
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• pp.249-263
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• 1998

The competence of newly graduated nurses is based on various clinical expriences gained when they were students. Therefore, instructors of nursing students, professors in nursing schools or directors in hospitals must play a critical role in assisting them to obtain various knowledge and experienced nursing skills. The purpose of this study was to investigate nursing care activities and nursing care hours practiced by nursing students in a general hospital. The subject students were total 214 nursing students, 2nd graders(sophomores) and 3rd graders(juniors) from 5 Junior Nursing Colleges in Seoul and they practiced at S general hospital to gain clinical experience. The data were collected for 4 days. The tools for this study were the direct nursing care activity list consisted of 15 nursing areas and the indirect nursing care activity list consisted of 9 nursing areas. The subject students were supposed to record their own score. The results of this study are ; 1. The nursing care hours per nursing student 1) The average total nursing care hours a day per each nursing student are 362.65 mins(6.04hr), the direct nursing care hours per each nursing stuent are 202.09 mins(direct nursing care rate 56.0%) and it is higher than the indirect nursing care hours, 159.75mins(indirect nursing care rate 44.0%). The direct nursing care rate of each student by a team approach in the evening shift(56.3%) is higher than that in the day shift(55.8%). 2) The hours of checking vital signs are the longest(47.35mins) among the direct nursing care activites and next is in order of counseling 8l emotional support, nurse rounds, and accompaning a patient during examination. The hours of reporting are the longest(32.39mins) among the indirect nursing care activites, and next is the activities related to education such as reviewing chart, looking up references, etc. 3) The freqency of checking vital signs practiced by nursing student is the highest(the average of 55.7 times) among the direct nursing care activities and next is in order of nurse rounds, assistance of feeding, and counseling & emotional support. The required time for nursing students to accompany their patient during examination is the longest(20.7mins) and next are in order of restriction on patient' activity, orientated by a head nurse, skin care, sitz bath, bathing & hair shampoo, and assisting with patients' exercise. 2. The nursing care hours per grader 1) The average hours of total nursing care per a nursing student are 369.2mins(6.2hrs) to 2nd graders, 355.9mins(5.9 hrs) to third graders. The direct nursing care rate per each nursing student to 3rd graders(59.3%) was higher than that to End graders(52.8%). 2) For 2nd graders, the highly marked nursing activities are teaching associated with direct nursing care activities such as drawing up papers, looking up references, reviewing charts, and being orientated by staff nurses. For 3rd graders, measurments, observations, and nurse rounds in indirect nursing care activities are taken highly 3) The most frequent practice of the nursing care activites is checking vital signs : 65 times to 3rd graders and 46.5 times to 2nd graders. Our suggestions based on the results of this study are : 1. It is recommanded to repeat the same designed study in a variety of clinical fields for further study. 2. It is recommanded to collect data not by self-record method but by observated method. 3. It is needed for nursing instructors in Nursing Schools and in hospitals to develop the guidelines and check-list of clinical practice courses.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.7
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• pp.1064-1072
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• 2010

The objectives of this study were to gain an overview of practices and effect evaluation of oven utilization at school foodservice facilities in Daegu and Gyeongbuk province. Out of 147 dieticians, who responded for questionnaires, 44 dieticians used the oven and 103 dieticians did not use the oven. All statistical analyses were conducted with the SPSS 14.0 statistical software program. With regard to the style of foodservice system, 74.4% were urban, 23.3% were rural, and 2.3% were remote country. Also, 23.3% of school foodservices produced meals by batch cooking. According to the results of the expected effect and using effect analysis for 27 items, the average of evaluation score about expected effect was 1.64 points and that of using effect was 1.61 points. Both expected effect and using effect had higher scores than average points in 13 items out of 27 items. Using effect had higher scores than expected effect in 4 items. In conclusion, using ovens could help to increase foodservice satisfaction of students at school foodservice, because it can improve the various cooking methods and the food safety management. Therefore, it is important to modernize and automate cooking equipment for quality improvement of school foodservice operations.

• Journal of Animal Science and Technology
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• v.55 no.1
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• pp.13-18
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• 2013

This study was conducted to estimate the Genomic Estimated Breeding Value (GEBV) using Genomic Best Linear Unbiased Prediction (GBLUP) method in Hanwoo (Korean native cattle) population. The result is expected to adapt genomic selection onto the national Hanwoo evaluation system. Carcass weight (CW), eye muscle area (EMA), backfat thickness (BT), and marbling score (MS) were investigated in 552 Hanwoo progeny-tested steers at Livestock Improvement Main Center. Animals were genotyped with Illumina BovineHD BeadChip (777K SNPs). For statistical analysis, Genetic Relationship Matrix (GRM) was formulated on the basis of genotypes and the accuracy of GEBV was estimated with 10-fold Cross-validation method. The accuracies estimated with cross-validation method were between 0.915~0.957. In 534 progeny-tested steers, the maximum difference of GEBV accuracy compared to conventional EBV for CW, EMA, BT, and MS traits were 9.56%, 5.78%, 5.78%, and 4.18% respectively. In 3,674 pedigree traced bulls, maximum increased difference of GEBV for CW, EMA, BT, and MS traits were increased as 13.54%, 6.50%, 6.50%, and 4.31% respectively. This showed that the implementation of genomic pre-selection for candidate calves to test on meat production traits could improve the genetic gain by increasing accuracy and reducing generation interval in Hanwoo genetic evaluation system to select proven bulls.