• 제목/요약/키워드: Population strategy

검색결과 646건 처리시간 0.025초

New polymorphic microsatellite markers in the Korean mi-iuy croaker, $Miichthys$ $miiuy$, and their application to the genetic characterization of wild and farmed populations

  • An, Hye-Suck;Kim, Eun-Mi;Lee, Jang-Wook;Kim, Dae-Jung;Kim, Yi-Cheong
    • Animal cells and systems
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    • 제16권1호
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    • pp.41-49
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    • 2012
  • Eighteen new polymorphic microsatellite markers were developed for the Korean mi-iuy croaker ($Miichthys$ $miiuy$, Perciformes, Sciaenidae), and allelic variability was compared between a wild population in Mokpo, Korea, and a hatchery population in Tongyeong, Korea. All loci were amplified readily and demonstrated allelic variability, with the number of alleles ranging from 5 to 37 in the wild population, and from 4 to 12 in the farmed population. The average observed and expected heterozygosities were estimated, respectively, to be 0.74 and 0.78 in the hatchery population samples, and 0.79 and 0.86 in the wild samples. These results indicate lower genetic variability in the hatchery population compared with the wild population, and significant genetic differentiation between the wild population and the hatchery samples ($F_{ST}$=0.058, P<0.001). These microsatellite loci may be valuable for future population genetic studies, monitoring changes in the genetic variation within stocks in a commercial breeding program, conservation genetics, and molecular assisted selective breeding of the mi-iuy croaker in the future.

영유아 인구 감소에 대응하기 위한 보육현장 지원정책 제안 (Development of Child-Care Support Policy Strategies in Response to Declining Young Children's Population)

  • 김병만;정수정;이강훈;임홍남;김정주
    • 한국보육지원학회지
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    • 제20권2호
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    • pp.169-194
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    • 2024
  • Objective: The purpose of this study is to develop a child-care support policy strategy in response to the decrease in the population of children aged 0-5 years. This will be achieved by collecting opinions from a panel of experts on child-care support policies through a Delphi survey. Methods: To achieve the purpose of this study, a panel of 20 experts in child-care policy was selected, and a Delphi survey was conducted over three sessions. Data collected through the Delphi survey underwent analysis, including frequency analysis, descriptive statistics, content validity ratio, coefficient of variation, agreement, and convergence. Data processing was carried out using Excel 2016 and SPSS 26.0. Results: As a result of the study, a child-care support policy strategy addressing the decrease in the population of children aged 0-5 years was developed, comprising three policy areas, nine policy tasks, and 38 detailed policy tasks. Conclusion/Implications: Based on these results, it is anticipated that the study will not only enable the preparation of a strategy for child-care support policy to address the decrease in the population of children aged 0-5 years but also offer significant implications for shaping the direction of child-care support policy in alignment with the common good.

Exploring X-event in the Field of Near-Future Population

  • Sang-Keun Cho;Jun-Woo Kim;Eui-Chul Shin;Myung-Sook Hong;Jun-Chul Song;Sang-Hyuk Park
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.186-190
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    • 2023
  • There are unimaginable possibilities ahead of us. As a result, it is difficult to predict the future, but the prediction itself is not meaningless. This is because it can have the flexibility to cope with contingencies by predicting various possibilities. This study was conducted to explore extreme events (X-event) in the Korean population sector. To this end, in-depth interviews were conducted with experts from the Korea Army Research Center for Future & Innovation and the Army College, and based on this, significant research results were derived that population problems such as population decline and aging can affect various fields such as economy. With this study, we hope that discussions on extreme events (X-event) that can occur in our society will be further activated.

A Hybrid Estimation of Distribution Algorithm with Differential Evolution based on Self-adaptive Strategy

  • Fan, Debin;Lee, Jaewan
    • 인터넷정보학회논문지
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    • 제22권1호
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    • pp.1-11
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    • 2021
  • Estimation of distribution algorithm (EDA) is a popular stochastic metaheuristic algorithm. EDA has been widely utilized in various optimization problems. However, it has been shown that the diversity of the population gradually decreases during the iterations, which makes EDA easily lead to premature convergence. This article introduces a hybrid estimation of distribution algorithm (EDA) with differential evolution (DE) based on self-adaptive strategy, namely HEDADE-SA. Firstly, an alternative probability model is used in sampling to improve population diversity. Secondly, the proposed algorithm is combined with DE, and a self-adaptive strategy is adopted to improve the convergence speed of the algorithm. Finally, twenty-five benchmark problems are conducted to verify the performance of HEDADE-SA. Experimental results indicate that HEDADE-SA is a feasible and effective algorithm.

A Strategy for Multi-target Paths Coverage by Improving Individual Information Sharing

  • Qian, Zhongsheng;Hong, Dafei;Zhao, Chang;Zhu, Jie;Zhu, Zhanggeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권11호
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    • pp.5464-5488
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    • 2019
  • The multi-population genetic algorithm in multi-target paths coverage has become a top choice for many test engineers. Also, information sharing strategy can improve the efficiency of multi-population genetic algorithm to generate multi-target test data; however, there is still space for some improvements in several aspects, which will affect the effectiveness of covering the target path set. Therefore, a multi-target paths coverage strategy is proposed by improving multi-population genetic algorithm based on individual information sharing among populations. It primarily contains three aspects. Firstly, the behavior of the sub-population covering corresponding target path is improved, so that it can continue to try to cover other sub-paths after covering the current target path, so as to take full advantage of population resources; Secondly, the populations initialized are prioritized according to the matching process, so that those sub-populations with better path coverage rate are executed firstly. Thirdly, for difficultly-covered paths, the individual chromosome features which can cover the difficultly-covered paths are extracted by utilizing the data generated, so as to screen those individuals who can cover the difficultly-covered paths. In the experiments, several benchmark programs were employed to verify the accuracy of the method from different aspects and also compare with similar methods. The experimental results show that it takes less time to cover target paths by our approach than the similar ones, and achieves more efficient test case generation process. Finally, a plug-in prototype is given to implement the approach proposed.

Multivariate analysis of longitudinal surveys for population median

  • Priyanka, Kumari;Mittal, Richa
    • Communications for Statistical Applications and Methods
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    • 제24권3호
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    • pp.255-269
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    • 2017
  • This article explores the analysis of longitudinal surveys in which same units are investigated on several occasions. Multivariate exponential ratio type estimator has been proposed for the estimation of the finite population median at the current occasion in two occasion longitudinal surveys. Information on several additional auxiliary variables, which are stable over time and readily available on both the occasions, has been utilized. Properties of the proposed multivariate estimator, including the optimum replacement strategy, are presented. The proposed multivariate estimator is compared with the sample median estimator when there is no matching from a previous occasion and with the exponential ratio type estimator in successive sampling when information is available on only one additional auxiliary variable. The merits of the proposed estimator are justified by empirical interpretations and validated by a simulation study with the help of some natural populations.

헬리코박터 제균 치료와 위암 예방 (Helicobacter pylori Eradication Therapy and Gastric Cancer Prevention)

  • 최일주
    • 대한소화기학회지
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    • 제72권5호
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    • pp.245-251
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    • 2018
  • Gastric cancer is the most common cancer in Korea and the fifth most common cancer globally. Helicobacter pylori (H. pylori) infection is considered the main etiologic agent for gastric cancer development. Most regional guidelines for H. pylori treatment recommend treating the organism to prevent gastric cancer in the high-risk group. However, evidence that such a strategy can also be applied to the general population, especially in terms of the preventive effect and safety, has not been adequately presented yet. Although a meta-analysis in the general population suggested effectiveness in decreasing gastric cancer incidence, individual studies should be critically reviewed to evaluate the soundness of the evidence. Recently published, long-term, Korean studies on metachronous gastric cancer prevention ended the controversies from previous short-term studies and confirmed the effectiveness. Currently, further prospective, large, randomized studies are ongoing in the general population and will provide more definitive, high-level evidence on this gastric cancer prevention strategy in the next decade.

Symbiotic Organisms Search for Constrained Optimization Problems

  • Wang, Yanjiao;Tao, Huanhuan;Ma, Zhuang
    • Journal of Information Processing Systems
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    • 제16권1호
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    • pp.210-223
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    • 2020
  • Since constrained optimization algorithms are easy to fall into local optimum and their ability of searching are weak, an improved symbiotic organisms search algorithm with mixed strategy based on adaptive ε constrained (ε_SOSMS) is proposed in this paper. Firstly, an adaptive ε constrained method is presented to balance the relationship between the constrained violation degrees and fitness. Secondly, the evolutionary strategies of symbiotic organisms search algorithm are improved as follows. Selecting different best individuals according to the proportion of feasible individuals and infeasible individuals to make evolutionary strategy more suitable for solving constrained optimization problems, and the individual comparison criteria is replaced with population selection strategy, which can better enhance the diversity of population. Finally, numerical experiments on 13 benchmark functions show that not only is ε_SOSMS able to converge to the global optimal solution, but also it has better robustness.

위치정보를 활용한 커피 전문점의 입점 분석 (A Geostatistical Analysis of Retail Coffee Store Distribution)

  • 이동엽;윤영태
    • 한국IT서비스학회지
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    • 제15권2호
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    • pp.203-217
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    • 2016
  • This paper explores the distribution of the retail coffee franchise stores in Seoul using geostatistical analyses. The fact that lots of coffee stores are concentrated in the central area-Jongno and Jung-gu and commercial area-Gangnam and Seocho shows that the size of the floating population and potential customers is one of main drivers for making decisions on the locations of new stores. Except these 4 districts, the number of stores and population exhibit a positive correlation. By extracting the information on the 6 large coffee franchises store locations, we calculate the both haversine distances between stores of the same franchise and between stores of different franchises. We then empirically test the sitting and marketing strategies of Starbucks, Ediya, and Paik-Dabang using distance distributions. Significant pairs of Starbucks stores located within 100m confirm the sitting strategy of Starbucks which opens additional stores at crossways, stations, near shopping malls or other business zones though there already exist Starbucks stores. Meanwhile considerable portion of Ediya stores are found near Starbucks stores, which coincides with the sitting strategy of Ediya. We also find that Paik-Dabang that uses the low cost strategy has its stores open relatively farther than other franchises from Starbucks stores.

한강수계 댐호의 블루길, Lepomis macrochirus 개체군 구조 (Population Structure of Bluegill, Lepomis macrochirus in Lakes of the Han River System, Korea)

  • 송호복;변명섭;강동원;장창열;문정숙;박혜경
    • 한국어류학회지
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    • 제24권4호
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    • pp.278-286
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    • 2012
  • 본 연구는 국내 수계에 심각한 위해를 가하고 있는 블루길의 효과적인 관리방안을 위한 기초 자료를 제공하고자 하였으며, 한강수계에 서식하는 개체군을 대상으로 2009년부터 2012년 사이에 연구를 실시하였다. 한강수계에 위치한 대부분의 댐호에는 불루길이 출현하였으며 하천의 경우 하류역에 국한되어 서식하였다. 각 댐호의 개체수 상대풍부도는 0.2~18.2%의 범위였으며 대부분의 댐호에서 아우점종이거나 우세종에 속하였다. 생체량 상대풍부도는 0.2~40.0%였다. 개체군 동태는 소양호와 팔당호는 r-전략형, 의암호와 청평호는 K-전략형, 충주호는 K-전략형에서 r-전략형으로 이행하는 단계로 판단되었다. 비만도와 체중-전장의 관계는 모두 양호한 상태를 나타내었다. 산란장은 집단을 형성하여 조성하였으며 산란둥지의 직경은 평균 42.4 cm, 깊이는 평균 9.7 cm였고, 둥지가 위치한 평균 수심은 56.3 cm, 수변으로부터의 거리는 평균 191.9 cm이었다. 본 연구 결과는 향후 블루길의 개체군 동향 예측과 번식생태 등을 파악하는데 유용한 자료가 될 것으로 본다.