• Title/Summary/Keyword: experimental population

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The utility of sperm DNA damage assay using toluidine blue and aniline blue staining in routine semen analysis

  • Kim, Hee-Sun;Kang, Moon Joo;Kim, Sung Ah;Oh, Sun Kyung;Kim, Hoon;Ku, Seung-Yup;Kim, Seok Hyun;Moon, Shin Yong;Choi, Young Min
    • Clinical and Experimental Reproductive Medicine
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    • v.40 no.1
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    • pp.23-28
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    • 2013
  • Objective: The aim of the present study was to examine the relationship among male age, strict morphology, and sperm chromatin structure and condensation. Methods: Sperm samples from a total of 100 men underwent semen analysis, and sperm chromatin structure and condensation were assessed with toluidine blue (TB) and aniline blue (AB) tests. Results: Prevalence of strict morphology of less than 4%, and abnormal sperm chromatin structure and condensation did not show any statistically significant differences according to male age (p=0.605, p=0.235, and p=0.080). No significant correlation was demonstrated among age of male partners, strict morphology, and abnormal sperm chromatin structure using TB and AB tests. However, abnormal sperm chromatin condensation was positively associated with sperm chromatin structure (r=0.594, p=0.000) and showed negative correlation with strict morphology (r=-0.219, p=0.029). Conclusion: The tests for sperm chromatin condensation showed a significant association with strict morphology. Further study is needed to elucidate the relationship between clinical outcome and sperm chromatin tests.

Stand Density Effects on Herbage Yield and Forage Quality of Alfalfa

  • Min, D.H.;King, J.R.;Kim, D.A.;Lee, H.W.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.7
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    • pp.929-934
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    • 2000
  • Optimum stand density of alfalfa (Medicago sativa L.) varies with locations and climates. Stand density is one of the factors that determines herbage yield, forage quality and persistence of alfalfa. As establishment costs increase, the question arises whether present population densities are optimum for obtaining maximum herbage yield and forage quality. The objectives of this study were: 1) to determine the optimum plant density for highest herbage yield and forage quality for the dehydrated alfalfa industry under Edmontons climatic conditions in Alberta, Canada; 2) to compare herbage yield and forage quality of the cultivars 'Algonquin' and 'Vernal' grown at a range of stand densities. Alfalfa seedlings of both cultivars were either transplanted at spacings of 6, 10, 15 and 25 cm or direct seeded at the 4.5 cm plant spacings, providing population densities of 494, 278, 100, 45 and $16plants/m^2$. The experimental design was a randomized complete block with a split-plot arrangement having three replicates; the main plots consisted of two alfalfa cultivars Algonquin and Vernal, and the sub-plots were the five population densities. The cultivar Vernal had significantly higher annual yield than did the cultivar Algonquin. There was no significant effect of plant density on herbage yield. There was no difference in crude protein (CP) between the two cultivars. At the first cut, there was a significant quadratic effect of plant density on CP content and the greatest CP occurred at the 100 plants/m2 density. Crude protein was not affected by plant density at the second cut. Acid detergent fiber (ADF) and neutral detergent fiber (NDF) were not affected by plant density. The cultivar Algonquin usually had a lower ADF and NDF than cultivar Vernal. In conclusion, high population densities ($278plants/m^2$ or more) of alfalfa did not improve herbage yield and forage quality compared with low plant population densities ($100plants/m^2$ or less) of alfalfa.

Population Dynamics of Mabled sole Limanda yokohamae($G{\"{U}}NTHER$) in Tokyo Bay, Japan (동경만산 문치가자미Limanda yokohamae($G{\"{U}}NTHER$)의 자원양 변동의 해석)

  • PARK Jong-Soo;SIMIZU Mako-to
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.24 no.1
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    • pp.1-8
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    • 1991
  • Population dynamics of Matted sole Limanda yokohamae($G{\"{U}}NTHER$) in Tokyo bay, Japan has been studied by virtual population analysis (VPA) for multi cohort and experimental fishing. Based on the biological data, the present parameters of the Limanda yekohamae stock at the Tokyo bay, Japan were estimated as follows: natural mortality coefficient(M) were 0.313 for male and 0.250 for female, terminal fishing mortality coefficient(F) were 2.190 for male, and 0.798 for female, rate of exploitation(E) was $30\%\;to\;50\%$. From the result of virtual population analysis for multi cohort, the population size were estimated from 3,5000,000 to 9,200,000 fishes, according to the result of experimental fishing, estimated stock size were 2,400,000 to 8,700,000 fishes. Stock size difference of the two methods were about two times in 1987, however, other years has been showed from 0.8 to 1.5 times. Both method has been showed same increase and decrease tendency of the c. p. u. e. and catches. From the isopleth diagram plot by Beverton and Holt's yield per recruit, the catches could be increase two times for female, 1.3 times for male than present aspects by the fishing management. And further, as reducing fishing effort, extension of mesh size and rising the length at first caputre, are reasonable in order to manage the stock at the optimum level.

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A suggestion of health insurance for children (소아 영역의 건강보험제도 개선안)

  • Eun, Baik-Lin
    • Clinical and Experimental Pediatrics
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    • v.51 no.4
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    • pp.339-342
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    • 2008
  • The Korean Health Insurance (KHI) has been introduced since 1977 and it took only 12 years that KHI had accomplished the total coverage of Korean population. The remarkable success of KHI can be compared with other OECD countries which had taken some 30 years to over 100 years to establish the total coverage of the population. Life expectancy at birth and the infant mortality rate in Korea in 2005 both surpassed the average figures of the OECD countries, The main reason for the success of KHI can be delineated with the three characteristics in KHI development; low premiums, low benefits, and low fee-schedule charges. However, these three characteristics of KHI, which had been the key for the rapid development of the system, have become terrible disadvantages for the stable development of KHI. The dissatisfaction and discontent of health care providers are ever increasing. The population is reluctant to pay more premiums though it seems essential for the better care coverage. The health care system has been heavily distorted toward high technology-oriented expensive care. There should be several factors seriously tackled for the secure development of KHI in the future. This paper will review a brief history of KHI development, and I would like to make a suggestion of health insurance for children.

GPU-based Stereo Matching Algorithm with the Strategy of Population-based Incremental Learning

  • Nie, Dong-Hu;Han, Kyu-Phil;Lee, Heng-Suk
    • Journal of Information Processing Systems
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    • v.5 no.2
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    • pp.105-116
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    • 2009
  • To solve the general problems surrounding the application of genetic algorithms in stereo matching, two measures are proposed. Firstly, the strategy of simplified population-based incremental learning (PBIL) is adopted to reduce the problems with memory consumption and search inefficiency, and a scheme for controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities. In addition, an alternative version of the proposed algorithm, without the use of a probability vector, is also presented for simpler set-ups. Secondly, programmable graphics-hardware (GPU) consists of multiple multi-processors and has a powerful parallelism which can perform operations in parallel at low cost. Therefore, in order to decrease the running time further, a model of the proposed algorithm, which can be run on programmable graphics-hardware (GPU), is presented for the first time. The algorithms are implemented on the CPU as well as on the GPU and are evaluated by experiments. The experimental results show that the proposed algorithm offers better performance than traditional BMA methods with a deliberate relaxation and its modified version in terms of both running speed and stability. The comparison of computation times for the algorithm both on the GPU and the CPU shows that the former has more speed-up than the latter, the bigger the image size is.

Growth, reproduction and recruitment of Silvetia siliquosa (Fucales, Phaeophyceae) transplants using polyethylene rope and natural rock methods

  • Gao, Xu;Choi, Han Gil;Park, Seo Kyoung;Lee, Jung Rok;Kim, Jeong Ha;Hu, Zi-Min;Nam, Ki Wan
    • ALGAE
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    • v.32 no.4
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    • pp.337-347
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    • 2017
  • Silvetia siliquosa is an ecologically and commercially important brown alga that is harvested from its natural habitats, but its population has recently been diminishing along the Korean coast. To develop new techniques for algal population restoration, we tested two newly developed transplantation methods (using polyethylene ropes and natural rock pieces) at two study sites, Gwanmaedo and Yeongsando, on the southwest coast of Korea, from May to November 2014. The transplants on polyethylene ropes showed significantly greater survival, maturity, and growth than those on natural rocks at both study sites. Newly recruited juveniles (<3 cm) of S. siliquosa increased remarkably from May to December near the transplants on polyethylene ropes and natural rocks.Therefore, we suggest that transplantation using polyethylene ropes is more effective than using natural rocks to restore the population of S. siliquosa in Korea.

A Cytogenetic Study of Recurrent Spontaneous Abortion (습관성 유산 환자의 세포유전학적인 연구)

  • Lee, Kyung-Soon;Han, Jung-Ho;Oh, Sun-Kyung;Moon, Shin-Yong
    • Clinical and Experimental Reproductive Medicine
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    • v.26 no.3
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    • pp.475-481
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    • 1999
  • Objective: The purpose of this investigation is to determine the frequency of chromosomal or genetic causes of recurrent spontaneous abortion. Methods: A cytogenetic study was made in of 921 couples for 13 years from January 1984 to December 1997 in which the woman was ascertained to have had two or more spontaneous abortions at our Cytogenetic Laboratory, Institute of Reproductive Medicine and Population, Seoul National University. Results: The overall incidence of chromosome anomaly was 80 out of 921 (8.7%). There were 34 cases (3.69%) of reciprocal balanced translocation and 13 cases (1.41%) of Robertsonian translocation. Also 17 cases (1.85%) of inversion and 5 cases (0.54%) of X chromosome mosiacism was observed. In the case of reciprocal balanced translocation, chromosome 8,6,7,13 were preferentially involved over others. And in the case of Robertsonian translocation, chromosome 13 was preferentially involved. Conclusion: Our study demonstrates that cytogenetic analysis is indicated in couples with 2 or more spontaneous abortion and about half of these disorders are reciprocal balanced or Robertsonian translocations.

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Web Program for Laboratory Animal Group Separation Based on Biological Characteristics (생체지표를 활용한 웹기반의 실험동물 군(郡) 분리 프로그램)

  • Kim, Chang-Hwan;Lee, Dae-Sang
    • KSBB Journal
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    • v.27 no.1
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    • pp.40-44
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    • 2012
  • The laboratory animal group separation is dividing animal population into subgroups, which have similar average and standard deviation values among the subgroups, based on the biological characteristics such as body weight, glucose level in blood, etc. Although group separation is very important and initial step in experimental design, it needs a labor intensive process for researchers because of making similar average and standard deviation values among the subgroups using the raw biological characteristics. To reduce the labor cost and increase the efficiency of animal grouping, we developed a web program named as laboratory animal group separation (LAGS) program. This LAGS uses biological characteristics of population, number of group, and the number of elements per each subgroup as input data. The LAGS automatically separates the population into each subgroup that has similar statistical data such as average and standard deviation values among subgroups. It also provides researchers with the extraordinary data generated in the process of grouping and the final grouping results by graphical display. Through our LAGS, researchers can validate and confirm results of laboratory animal group separation by just a few mouse clicks.

Population changes and growth modeling of Salmonella enterica during alfalfa seed germination and early sprout development

  • Kim, Won-Il;Ryu, Sang Don;Kim, Se-Ri;Kim, Hyun-Ju;Lee, Seungdon;Kim, Jinwoo
    • Food Science and Biotechnology
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    • v.27 no.6
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    • pp.1865-1869
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    • 2018
  • This study examined the effects of alfalfa seed germination on growth of Salmonella enterica. We investigated the population changes of S. enterica during early sprout development. We found that the population density of S. enterica, which was inoculated on alfalfa seeds was increased during sprout development under all experimental temperatures, whereas a significant reduction was observed when S. enterica was inoculated on fully germinated sprouts. To establish a model for predicting S. enterica growth during alfalfa sprout development, the kinetic growth data under isothermal conditions were collected and evaluated based on Baranyi model as a primary model for growth data. To elucidate the influence of temperature on S. enterica growth rates, three secondary models were compared and found that the Arrhenius-type model was more suitable than others. We believe that our model can be utilized to predict S. enterica behavior in alfalfa sprout and to conduct microbial risk assessments.

Mobile User Interface Pattern Clustering Using Improved Semi-Supervised Kernel Fuzzy Clustering Method

  • Jia, Wei;Hua, Qingyi;Zhang, Minjun;Chen, Rui;Ji, Xiang;Wang, Bo
    • Journal of Information Processing Systems
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    • v.15 no.4
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    • pp.986-1016
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    • 2019
  • Mobile user interface pattern (MUIP) is a kind of structured representation of interaction design knowledge. Several studies have suggested that MUIPs are a proven solution for recurring mobile interface design problems. To facilitate MUIP selection, an effective clustering method is required to discover hidden knowledge of pattern data set. In this paper, we employ the semi-supervised kernel fuzzy c-means clustering (SSKFCM) method to cluster MUIP data. In order to improve the performance of clustering, clustering parameters are optimized by utilizing the global optimization capability of particle swarm optimization (PSO) algorithm. Since the PSO algorithm is easily trapped in local optima, a novel PSO algorithm is presented in this paper. It combines an improved intuitionistic fuzzy entropy measure and a new population search strategy to enhance the population search capability and accelerate the convergence speed. Experimental results show the effectiveness and superiority of the proposed clustering method.