Test-day records (n=13677) sampled from 896 ewes in 5-9 (${\mu}$=7.5) monthly test-days were used to estimate genetic and phenotypic parameters of test-day yields, lactation milk yield (TMY), length of the milking period (DAYS) and three measures of persistency of milk yield in Boutsico dairy sheep. Τhe measures of persistency were the slope of the regression line (${\beta}$), the coefficient of variation (CV) of the test-day milk yields and the maximum to average daily milk yield ratio (MA). The estimates of variance components were obtained under a linear mixed model by restricted maximum likelihood. The heritability of test-day yields ranged from 0.15 to 0.24. DAYS were found to be heritable ($h^2$=0.11). Heritability estimates of ${\beta}$, CV and MA were 0.15, 0.13, 0.10, respectively. Selection for maximum lactation yields is expected to result in prolonged milking periods, high rates of decline of yields after peak production, variable test-day yields and higher litter sizes. Selection for flatter lactation curves would reduce lactation yields, increase slightly the length of the milking period and decrease yield variation as well as litter size. The most accurate prediction of TMY was obtained with a linear regression model with the first five test-day records.
Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.
The origin of the Korean Screen Planisphere with both Traditional and New Star-Charts, made by Korean Astronomers in the Royal Astronomical Bureau of the Joseon Dynasty by adopting the knowledge of the European astronomy, is investigated by analyzing its inscriptions and star charts. The considerations on both the changes in notations or representations of names of asterisms and the naming taboos used in the Old-style planisphere imply that the star-chart is originated from either the Sukjong-Stele-Replica of Cheonsang-Yeolcha-Punyajido(天象列次分野之圖). The New style planisphere is just the reproduction of Huangdao-congxingtu (黃道總星圖), with the exception of the non-Chinese-traditional stars. The Huangdao-congxingtu was made in 1723 CE by Ignatius K$\ddot{o}$gler who was a Jesuit missionary and worked for the Bureau of Astronomy (欽天監) in the Qing Dyansty. I find that the star chart was imported in 1742 CE from the Qing by An Gukrin (安國麟) who was an astronomer in the Royal Astronomical Bureau of Joseon. The chart became model for the screen star-chart made in 1743 CE and now housed in Bopju temple. I found that the inscriptions are extracted from the sentences in both Xinzhi Lingtai Yixiangzhi (新製靈臺儀象志) and Qinding Yixiangkaocheng (欽定儀象考成). Korean historical records in either Daily Records of the Royal Secretariat of the Joseon Dynasty (承政院日記) or Annals of the Joseonn Dynasty (朝鮮王朝實錄) show that Xinzhi Lingtai-Yixiangzhi was imported from the Qing Dynasty in 1708 CE, and the Qinding Yixiangkaocheng was imported in 1766 CE. Thus, the Korean Screen Planisphere with both Old and New Star-charts was certainly made after 1766 CE.
Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.
Kim, Heongkyun;Lee, Sangmin;Kwon, Hyunwoo;Kim, Eunmin
KSII Transactions on Internet and Information Systems (TIIS)
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v.15
no.12
/
pp.4400-4419
/
2021
In the 4th Industrial Revolution, the healthcare industry is undergoing a paradigm shift from post-care and management systems based on diagnosis and treatment to disease prevention and management based on personal precision medicine. To optimize medical services for individual patients, an open ecosystem for the healthcare industry that allows the exchange and utilization of personal health records (PHRs) is required. However, under the current system of hospital-centered data management, it is difficult to implement the linking and sharing of PHRs in practice. To address this problem, in this study, we present the design and implementation of a patient-centered PHR platform using blockchain technology. This platform achieved transparency and reliability in information management by eliminating the risk of leakage and tampering/altering personal information, which could occur when using a PHR. In addition, the patient-consent system was applied to a PHR; thus, the patient acted as the user with ownership. The proposed blockchain-based PHR platform enables the integration of personal medical information with scattered distribution across multiple hospitals, and allows patients to freely use their health records in their daily lives and emergencies. The proposed platform is expected to serve as a stepping stone for patient-centered healthcare data management and utilization.
International conference on construction engineering and project management
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2009.05a
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pp.310-315
/
2009
Large hospitals such as medical centers provide not only medical services, but also carry the responsibilities for emergency refuges, medical researches and education. The function of large hospitals is as important as other infrastructure systems such as highways, bridges, and utilities. When disasters occur, the hospitals have to provide emergency medical services for victims and support the patient's needs of health. In order to keep a smooth operation of hospitals, the maintenance management of hospital buildings should be carefully investigated. However, there are few researches focused on maintenance management issues of hospital buildings. This paper investigated the National Taiwan University Hospital (NTUH) and established a maintenance cost database. The NTUH is the best-known and most high-renowned medical center in Taiwan in which more than 4,000 employees serving approximately 2,000 in-patients and 7,000 out-patients daily. The data were collected from the NTUH which consisted of 16,228 maintenance records in the past ten years. This paper analyzed these data to obtain various characteristics of maintenance records, and revealed the key items of maintenance cost for large hospital buildings, which can provide the facility manager of hospital buildings to execute a proper maintenance policy for hospital buildings.
Purpose: The electronic frailty index (eFI), which is derived from electronic health records, has been recommended as screening tool for frailty due to its accessibility and ease of use. The objective of this systematic review was to identify the prevalence of frailty assessed by the eFI and its influence on health outcomes in older adults with chronic diseases. Methods: We searched PubMed, Embase, Web of Science, CINAHL, SCOPUS, Cochrane, Google search, and nursing journals in Korean from January 2016 to December 2022. Results: Twelve studies were analyzed. The eFI score, based on routine clinical data, was associated with adverse health outcomes. The most frequent outcome studied was mortality, and the eFI was associated with increased mortality in nine studies. Other outcomes studied included hospitalization, length of stay, readmission, and institutionalization in relation to hospital care usage, and cardiovascular events, stroke, GI bleeding, falls, and instrumental activities of daily life as health conditions. Conclusion: Early identification of frailty in older adults with chronic diseases can decrease the burden of disease and adverse health outcomes. The eFI has a good discriminative capacity to identify frail older adults with chronic diseases.
Lots of cultures, memories, histories of the local life have disappeared. Some sectors of universities and religion have keep their records in manuscript archive only. On the other hand records of public sectors were at least able to be managed by the records management law. Citizen's groups and academic bounds were also roles to get public records strong. However can we just describe whole body with only public records? As records management law a record of private sector which has value of preserving can be managed under national protection. Yet establishment of local archive is not obligate. Only stressing on public records is like what dictatorial government acted in past years. It is what we ignore diversity and request of community. We need to move our view that we have focused on public and central sectors to private and local sectors. Local records management based on locality could help to complete the entire puzzle. The way complete the puzzle is various and wide spheres including from cultural space to being extinct village. Locality is defined as the property in certain area or distinctiveness of locals. Establishing production strategies is as important as collecting records produced over the past years for local archiving. Local archiving has to be regionally conducted in phase. Moreover common wealth and recognition of communities are reflected in the acquisition process. In next to archiving local organizations and private records according to collection policy, methodology on local archiving needs for archive management and use in various public and private fields. This methodology could be possible by building a local archive networking tool. It is true that Local archiving is not familiar and clear yet. If we can turn the effort for public records we have made to endeavor for private sectors, we might expect big fruits in private sectors. We easily emphasis on globalization or internationalization, our daily lives start on our villages. Setting aside our small communities, such a puzzle of the whole would never be completed. This is good time to begin finding lost puzzle for future. The key that can find lost puzzles be held in archiving localities.
The purpose of this study was to investigate selected nutrient intakes, dietary atherogenesity, energy balance and activity level of college students. One hundred and thirty onoe students (61 males and 70 females) made their three-day dietary records and one-day activity records along with one-day dietary records. BMI of the surveyed students was 22.33 for males and 20.28 for females. Average calorie intakes of male and female students was respectively 2166.20kcal and 1793.60kcal. Females had slightly higher fiber intakes than males in terms of fiber g/1000kcal. Carbohydrate, protein and fat ratios in energy composition of males and females were respectively 56.62 : 15.33 : 24.70 and 57.64 : 16.49 : 25.79. Average cholesterol intakes of male and female students were 295.66mg and 259mg respectively. The male showed higher saturated fat intake. and had higher atherogenic indices of diets such as cholesterol index(CI) and cholesterol-saturated fat index(CSI) than the female. Males spent an average of 1039.00 kcal/day compared to females of 687.93 kcal/day for all physical activities. Most students participated in light (100% of males and females) and moderate (33% of males and 3% of females) activities level. Few students spent time at severe and very severe activity level. Seventeen of the 131 students were in positive energy balance whereas 83% were in negative balance. Both genders with positive energy balance tended towards smaller weight and BMI, and larger food intakes than those with negative energy balance. Students with positive energy balance had higher saturated fat intakes and dietary atherogenic scores of CI and CSI than the counterparts with negative energy balance. Males with positive energy balance had decreased physical activity and daily energy expenditure whereas increased food and saturated fat intakes. Females with positive energy balance had singificantly increased food, saturated fat and sugar intakes.
Hossain, K.B.;Takayanagi, S.;Miyake, T.;Moriya, K.;Bhuiyan, A.K.F.H.;Sasaki, Y.
Asian-Australasian Journal of Animal Sciences
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v.15
no.5
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pp.627-632
/
2002
Genetic parameters for dairy performance traits were estimated, breeding values for the traits of all breeding sires and cows were predicted and the genetic trends were estimated using the breeding values in the Central Cattle Breeding Station (CCBS). A total of 3,801 records for Bangladeshi Local, 756 records for Red Sindhi and 959 records for Sahiwal covering the period from 1961 to 1997 were used in this analysis. Traits considered were total milk production per lactation (TLP), lactation length (LL) and daily milk yield (DMY). The genetic parameters were estimated by the REML using MTDFREML program. The breeding values were predicted by a best linear unbiased prediction (BLUP). In all sets of data, the genetic trends for the dairy performance traits were computed as averages of breeding values for cows born in the particular year. The estimates of heritability for TLP (0.26 and 0.27) and DMY (0.28 and 0.27) were moderate in Bangladeshi local and Red Sindhi breed, respectively. Furthermore, the heritability estimate for LL (0.24) was moderate in Red Sindhi. The estimates of heritabilities for all traits were low in Sahiwal. The repeatability estimate was high for TLP, moderate for LL and moderate to high for DMY. All variances estimated in Bangladeshi Local were low, comparing the respective values estimated in both Red Sindhi and Sahiwal. On the other hand, additive genetic variances for the three traits were estimated very low in Sahiwal. The genetic trends for the three dairy production traits have not been positive except for the recent trend in Bangladeshi Local.
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