• Title/Summary/Keyword: Resource population

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Multilevel Analysis on Factors Influencing Death and Transfer in Inpatient with Severe Injury (입원 중증 손상 환자의 사망과 전원에 영향을 미치는 요인에 관한 다수준분석)

  • Choi, Young Eun;Lee, Kang Suk
    • Health Policy and Management
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    • v.23 no.3
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    • pp.233-243
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    • 2013
  • Background: This study was conducted to evaluate the individual and community level factors which were influencing the severe injury patients' death and transfer at discharge. Methods: Analysis data is based on Korean National Hospital Discharge In-depth Survey Data released by the Korea Center for Disease Control and Prevention from 2006 to 2008. Study subjects was 11,026 inpatients with of severe injury. For multi-level analysis, socio-demographic characteristics, injury related characteristics, hospitalization related characteristics were used as individual level factors, and socio-environmental characteristics and health care resource characteristics were used as community level factors. Results: As to community level factors affecting mortality of severe injury, the possibility of death was also high in cases of less numbers of surgeons per a population of 100,000 and more number of operation beds. As to community level factors affecting transfer of severe injury, vulnerable areas with higher social deprivation index and low population density had higher possibility of transfer. Conclusion: Both individual level factors and community level factors affected clinical outcomes of treatment for severe injury. In particular, since there happened higher death and transfer of severe injury in socioeconomic and medical vulnerable areas, special efforts for establishing preventive policy and care system for injury in national and area level should be directed toward such areas.

Priority Setting for Occupational Cancer Prevention

  • Peters, Cheryl E.;Palmer, Alison L.;Telfer, Joanne;Ge, Calvin B.;Hall, Amy L.;Davies, Hugh W.;Pahwa, Manisha;Demers, Paul A.
    • Safety and Health at Work
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    • v.9 no.2
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    • pp.133-139
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    • 2018
  • Background: Selecting priority occupational carcinogens is important for cancer prevention efforts; however, standardized selection methods are not available. The objective of this paper was to describe the methods used by CAREX Canada in 2015 to establish priorities for preventing occupational cancer, with a focus on exposure estimation and descriptive profiles. Methods: Four criteria were used in an expert assessment process to guide carcinogen prioritization: (1) the likelihood of presence and/or use in Canadian workplaces; (2) toxicity of the substance (strength of evidence for carcinogenicity and other health effects); (3) feasibility of producing a carcinogen profile and/or an occupational estimate; and (4) special interest from the public/scientific community. Carcinogens were ranked as high, medium or low priority based on specific conditions regarding these criteria, and stakeholder input was incorporated. Priorities were set separately for the creation of new carcinogen profiles and for new occupational exposure estimates. Results: Overall, 246 agents were reviewed for inclusion in the occupational priorities list. For carcinogen profile generation, 103 were prioritized (11 high, 33 medium, and 59 low priority), and 36 carcinogens were deemed priorities for occupational exposure estimation (13 high, 17 medium, and 6 low priority). Conclusion: Prioritizing and ranking occupational carcinogens is required for a variety of purposes, including research, resource allocation at different jurisdictional levels, calculations of occupational cancer burden, and planning of CAREX-type projects in different countries. This paper outlines how this process was achieved in Canada; this may provide a model for other countries and jurisdictions as a part of occupational cancer prevention efforts.

Social Capital of Married Women: Variations by Employment Status (취업 여부에 따른 기혼 여성의 사회자본 특성)

  • Lee, Yoon-Joo;Chin, Mee-Jung
    • Korea journal of population studies
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    • v.34 no.2
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    • pp.91-111
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    • 2011
  • Based on social capital theory, this study intends to understand accessed and mobilized social capital of married women with young children and the difference between two types of social capital in terms of their employment status. Factors related to accessed and mobilized social capital are also investigated. The subjects are 571 married women (284 employed and 287 unemployed) who have children younger than 5 years old. Their networks are revealed to show different composition and resource distribution according to the respective employment status. No significant difference is found in accessing social capital depending on the employment status. However, working women are capable of mobilizing more social capital for economic resources and child-care assistance than non-working women. The employment status is significant only in mobilizing social capital related to child-caring assistance. The effects of variables related to social networks of married women differ according to the types of resources sought for. The choices of married women on the employment status and child-rearing are observed in the findings of the ability to mobilize social capital for child-care assistance. The importance of kin ties and various social services for building social capital are discussed.

Development of EST-SSR Markers for Evaluation of Genetic Diversity and Population Structure in Finger Millet (Eleusine coracana (L.) Gaertn.)

  • Lee, Myung Chul;Choi, Yu-Mi;Hyun, Do-Yoon;Lee, Sukyeung;Kim, Jin-Hee;Oh, Sejong
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2018.04a
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    • pp.105-105
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    • 2018
  • Finger millet, Eleusine coracana Gaertn., is more nutritious than other cereals and millets and widely cultivate in tropical regions of the world. However, status of its genetic diversity remained concealed due to lack of research work in this species. In recent years, microsatellites have become the most used markers for studying population genetic diversity. In present study, genetic diversity and structure of different populations of finger millet from Africa and South Asia was examined at molecular level using newly developed EST-Simple Sequence Repeat (EST-SSR) markers using a total of 1,927 ESTs of Eleusine coracana available in the NCBI database. In total, 46 primers produced 292 alleles in a size range of 100-500 bp and mean Polymorphism Information Content (PIC) and Marker Index (MI) were 0.372 and 1.04, respectively. 46 primers showed polymorphism and 21 primers were identified as having a PIC value above 0.5. Principal coordinates analysis and the dendrogram constructed out of combined data of both markers showed grouping of finger millet accessions to their respective area of collection. The 156 accessions was classified into four groups, such as three groups of Africa collection and one group of Asia. Results of present study can be useful in identifying diverse accessions and management of this plant resource. Moreover, the novel SSR markers developed can be utilized for various genetic analyses in this species in future.

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A Synchronized Job Assignment Model for Manual Assembly Lines Using Multi-Objective Simulation Integrated Hybrid Genetic Algorithm (MO-SHGA) (다목적 시뮬레이션 통합 하이브리드 유전자 알고리즘을 사용한 수동 조립라인의 동기 작업 모델)

  • Imran, Muhammad;Kang, Changwook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.211-220
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    • 2017
  • The application of the theoretical model to real assembly lines has been one of the biggest challenges for researchers and industrial engineers. There should be some realistic approach to achieve the conflicting objectives on real systems. Therefore, in this paper, a model is developed to synchronize a real system (A discrete event simulation model) with a theoretical model (An optimization model). This synchronization will enable the realistic optimization of systems. A job assignment model of the assembly line is formulated for the evaluation of proposed realistic optimization to achieve multiple conflicting objectives. The objectives, fluctuation in cycle time, throughput, labor cost, energy cost, teamwork and deviation in the skill level of operators have been modeled mathematically. To solve the formulated mathematical model, a multi-objective simulation integrated hybrid genetic algorithm (MO-SHGA) is proposed. In MO-SHGA each individual in each population acts as an input scenario of simulation. Also, it is very difficult to assign weights to the objective function in the traditional multi-objective GA because of pareto fronts. Therefore, we have proposed a probabilistic based linearization and multi-objective to single objective conversion method at population evolution phase. The performance of MO-SHGA is evaluated with the standard multi-objective genetic algorithm (MO-GA) with both deterministic and stochastic data settings. A case study of the goalkeeping gloves assembly line is also presented as a numerical example which is solved using MO-SHGA and MO-GA. The proposed research is useful for the development of synchronized human based assembly lines for real time monitoring, optimization, and control.

Relationship between the sexual and the vegetative organs in a Polygonatum humile (Liliaceae) population in a temperate forest gap

  • Min, Byeong-Mee
    • Journal of Ecology and Environment
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    • v.41 no.9
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    • pp.256-264
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    • 2017
  • Background: The aim of this study was to clarify the relationship between the sexual reproduction and the resource allocation in a natural Polygonatum humile population grown in a temperate mixed forest gap. For this aim, the plant size, the node which flower was formed, the fruiting rate, and the dry weight of each organ were monitored from June 2014 to August 2015. Results: Firstly, in 3-13-leaf plants, plants with leaves ${\leq}8$ did not have flowers and in plants with over 9 leaves the flowering rate increased with the number of leaves. Among plants with the same number of leaves, the total leaf area and dry weight of flowering plants were larger than those of non-flowering plants. The minimum leaf area and dry weight of flowering plants were $100cm^2$ and 200 mg, respectively. Secondary, the flowers were formed at the 3rd~8th nodes, and the flowering rate was highest at the 5th node. Thirdly, cumulative values of leaf properties from the last leaf (the top leaf on a stem) to the same leaf rank were greater in a plant with a reproductive organ than in a plant without a reproductive organ. Fourthly, fruit set was 6.1% and faithful fruit was 2.6% of total flowers. Biomasses of new rhizomes produced per milligram dry weight of leaf were $0.397{\pm}190mg$ in plants that set fruit and $0.520{\pm}0.263mg$ in plants that did not, and the difference between the 2 plant groups was significant at the 0.1% level. Conclusions: P. humile showed that the 1st flower formed on the 3rd node from the shoot's base. And P. humile showed the minimum plant size needed in fruiting, and fruiting restricted the growth of new rhizomes. However, the fruiting rate was very low. Thus, it was thought that the low fruiting rate caused more energy to invest in the rhizomes, leading to a longer rhizome. A longer rhizome was thought to be more advantageous than a short one to avoid the shading.

Genetic Polymorphisms of ARMC4, LRP4 and BCL2 Genes are Associated with Blood Pressure Traits and Hypertension in Korean Population

  • Park, Hye-Jeong;Jeon, Tae-Eun;Kim, Yong-Seob;Jin, Hyun-Soek;Park, Sangjung
    • Biomedical Science Letters
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    • v.26 no.1
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    • pp.28-36
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    • 2020
  • High blood pressure (HTN) is a condition in which blood pressure is kept higher than normal. Blood pressure trait measures systolic blood pressure (SBP) which is the highest pressure and diastolic blood pressure (DBP) which is the lowest blood pressure. Pulse pressure (PP) is the difference between systolic and diastolic blood pressure. Hypertension is known as a disease caused by the interaction of the environment and genetic factors. To date, studies have been conducted to find genes associated with hypertension. Genome-Wide Association Study (GWAS) analysis using European data from the UK Biobank reported new 535 loci were associated with blood pressure trait. Among them, 12 genes have been reported to have a significant correlation with SBP, DBP and PP. In the study, 12 genes polymorphisms were extracted based on KARE (Korean association resource) and then we performed linear regression of blood pressure trait. As a result, 6 SNPs of the 3 genes (rs12355413 and rs11006736 of ARMC4, rs2290883, rs2290884 and rs11039014 of LRP4, rs7234941 of BCL2) showed statistically significant correlation (P<0.05) with blood pressure trait. Of the 3 genes, 6 SNPs in 2 genes (rs9651357, rs12355413, rs11006736, rs1889522 of ARMC4 and rs4987774, rs7234941 of BCL2) showed significant correlation with hypertension. These results suggest that genetic polymorphisms of ARMC4, LRP4 and BCL2 genes are associated with blood pressure traits and hypertension in Korean population. Moreover, we expected to help understand the pathogenesis of hypertension.

Women's Wage and Childbearing (여성임금과 출산력)

  • Choi, Seul-Ki
    • Korea journal of population studies
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    • v.35 no.2
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    • pp.29-53
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    • 2012
  • This research studies how women's hourly wages affect childbearing using data from the National Longitudinal Survey of Youth. The results of discrete time hazard model show that the relationship between women's hourly wage and fertility is dynamic. Overall relationship looks negative, but they are not consistent across education levels. Women who have a high school diploma or less have a tendency to decrease childbearing when their wages increase. But women who have some college experience or a college degree are likely to have children when their wages increase. It means that only for highly educated women who are likely to be in high paying decent jobs, the rise of income can be used as a resource for reconciling the mother's and worker's roles. Or, for less educated women who are likely to be in the low paying jobs, the rise of income is not large enough to lessen role incompatibility.

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Analysis of intraspecific genetic diversity in Acidovorax citrulli causing bacterial fruit blotch on cucurbits in Korea

  • Song, Jeong Young;Oo, May Moe;Park, Su Yeon;Seo, Mun Won;Lee, Seong-Chan;Jeon, Nak Beom;Nam, Myeong Hyeon;Lee, Youn Su;Kim, Hong Gi;Oh, Sang-Keun
    • Korean Journal of Agricultural Science
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    • v.45 no.4
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    • pp.575-582
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    • 2018
  • Bacterial fruit blotch (BFB) caused by Acidovorax citrulli is a devastating disease found in many cucurbits cultivation fields. The genetic diversity for 29 strains of A. citrulli collected from various cucurbits in South Korea was determined by DNA fingerprinting with a pathogenicity test, multi locus analysis, Rep-PCR (repetitive sequence polymerase chain reaction), and URP (universal rice primers) PCR bands. Two distinct groups (Korean Clonal Complex, KCC1 and KCC2) in the population were identified based on group specific genetic variation in the multi locus phylogeny using six conserved loci and showed a very high similarity with DNA sequences for representative foreign groups [the group I (CC1-1 type) and the group II (CC2-5 type)] widely distributed worldwide, respectively. Additionally, in the case of phaC, a new genotype was found within each Korean group. The KCC1 was more heterogeneous compared to the KCC2. The KCC1 recovered mainly from melons and watermelons (ratio of 6 : 3) and 15 of the 20 KCC2 strains recovered from watermelons were dominant in the pathogen population. Accordingly, this study found that two distinct groups of differentiated A. citrulli exist in South Korea, genetically very similar to representative foreign groups, with a new genotype in each group resulting in their genetic diversity.

SUMRAY: R and Python Codes for Calculating Cancer Risk Due to Radiation Exposure of a Population

  • Michiya Sasaki;Kyoji Furukawa;Daiki Satoh;Kazumasa Shimada;Shin'ichi Kudo;Shunji Takagi;Shogo Takahara;Michiaki Kai
    • Journal of Radiation Protection and Research
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    • v.48 no.2
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    • pp.90-99
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    • 2023
  • Background: Quantitative risk assessments should be accompanied by uncertainty analyses of the risk models employed in the calculations. In this study, we aim to develop a computational code named SUMRAY for use in cancer risk projections from radiation exposure taking into account uncertainties. We also aim to make SUMRAY publicly available as a resource for further improvement of risk projection. Materials and Methods: SUMRAY has two versions of code written in R and Python. The risk models used in SUMRAY for all-solid-cancer mortality and incidence were those published in the Life Span Study of a cohort of the atomic bomb survivors in Hiroshima and Nagasaki. The confidence intervals associated with the evaluated risks were derived by propagating the statistical uncertainties in the risk model parameter estimates by the Monte Carlo method. Results and Discussion: SUMRAY was used to calculate the lifetime or time-integrated attributable risks of cancer under an exposure scenario (baseline rates, dose[s], age[s] at exposure, age at the end of follow-up, sex) specified by the user. The results were compared with those calculated using another well-known web-based tool, Radiation Risk Assessment Tool (RadRAT; National Institutes of Health), and showed a reasonable agreement within the estimated confidential interval. Compared with RadRAT, SUMRAY can be used for a wide range of applications, as it allows the risk projection with arbitrarily specified risk models and/or population reference data. Conclusion: The reliabilities of SUMRAY with the present risk-model parameters and their variance-covariance matrices were verified by comparing them with those of the other codes. The SUMRAY code is distributed to the public as an open-source code under the Massachusetts Institute of Technology license.