• Title/Summary/Keyword: MGA

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The Diagnosis and Assessment of 3-methylglutaconic Acidurias (3-Methylglutaconic aciduria의 진단 및 평가)

  • Kim, Ja Hye
    • Journal of The Korean Society of Inherited Metabolic disease
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    • v.16 no.1
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    • pp.10-17
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    • 2016
  • The 3-methylglutaconic aciduria (3-MGA-uria) is a heterogeneous group of several inborn errors of metabolism characterized by increased urinary excretion of 3-methylglutaconic acid. In most cases, 3-MGA is only slightly increased and combined with other metabolites. However, repeated and significant excretion of 3-MGA (40->1,000 mmol/mol creatinine) is a hallmark of the disorders of 3-MGA-urias. There have identified five distinct types of disorders: inborn errors of leucine metabolism and four disorders of mitochondrial dysfunction through different mechanism. The range of clinical and biochemical findings in this condition is variable. In the patients with 3-methylglutaconyl-CoA hydratase deficiency, increased 3-hydroxyisovaleric acid is useful in the differential diagnosis. Other forms of 3-MGA-urias are welldefined clinically such as Barth syndrome, Costeff syndrome, TMEM 70 defect, MEGDEL syndrome, and DCMA syndrome. We provide an overview of the expanding clinical spectrum and differential diagnosis of the 3-MGA-urias.

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Development and Efficiency Evaluation of Metropolis GA for the Structural Optimization (구조 최적화를 위한 Metropolis 유전자 알고리즘을 개발과 호율성 평가)

  • Park Kyun-Bin;Kim Jeong-Tae;Na Won-Bae;Ryu Yeon-Sun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.19 no.1 s.71
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    • pp.27-37
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    • 2006
  • A Metropolis genetic algorithm (MGA) is developed and applied for the structural design optimization. In MGA, favorable features of Metropolis criterion of simulated annealing (SA) are incorporated in the reproduction operations of simple genetic algorithm (SGA). This way, the MGA maintains the wide varieties of individuals and preserves the potential genetic information of early generations. Consequently, the proposed MGA alleviates the disadvantages of premature convergence to a local optimum in SGA and time consuming computation for the precise global optimum in SA. Performances and applicability of MGA are compared with those of conventional algorithms such as Holland's SGA, Krishnakumar's micro GA, and Kirkpatrick's SA. Typical numerical examples are used to evaluate the computational performances, the favorable features and applicability of MGA. The effects of population sizes and maximum generations are also evaluated for the performance reliability and robustness of MGA. From the theoretical evaluation and numerical experience, it is concluded that the proposed MGA Is a reliable and efficient tool for structural design optimization.

A Study on Growth Acceleration in Korean by the Maximum Growth Age in Body Height From 1913 to 1990. (한국인 신장의 최대발육연령으로 본 발육촉진현상의 추이연구)

  • 박순영
    • Korean Journal of Health Education and Promotion
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    • v.11 no.1
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    • pp.70-84
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    • 1994
  • On the basis of the study intended to research by cross-sectional study keeped pace with semi-longitudinal study the growth accelerating phenomena that MGA(Maximum Growth Age) in teenager's body height. The duration of study is from Oct. 1st. 1991 to September 30 1992 and the data are analysed through computer. The body height and MGA of Koreans who had been for during the period from 1898 to 1973 proved transition of the growth accelerating phenomena by research data reported between 1913 and 1990. The results are as follows: 1. Maximum Growth Age The MGA's in body height of male are respectively the age 15.024 in 1913, 14.28 in 1940, 13.65 in 1959, 13.86 in 1967, 12.52 in 1983, 11.39 in 1987, 12.36 in 1990, while those of female are the age of 12.0 in 1940, 12.36 in 1959, 10.45 in 1969, 11.15 in 1985, 10.27 in 1988, 10.23 in 1990 ; these data show that the MGA of the Korean has been getting younger. 2. The correlation of the MGA's in body height are as below ; Male ; r = -0.448(p<0.01) Female ; r = -0.404(p<0.05) 3. The equation of linear regression of MGA's in body height are as below ; Male ; Y(MGA) = -0.0316X(the year)+75.297 Female ; Y(MGA) = -0.035X(the year)+79.986 4. The MGA's in body height are shown in Table 3. 5. From the transition of the growth accelerating phenomena, we can compute the fact that the MGA's has been getting younger by 0.3 year per 10 years. 6. The future growth accelerating phenomena in body height, the MGA's of male are respectively the age 12.25 in 1995, 12.09 in 2000, 11.94 in 2005, 11.78 in 2010, while those of female are the age of 10.16 in 1995, 9.98 in 2000, 9.81 in 2005, 9.64 in 2010, these data show that the MGA of female are more younger than that of male.

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Estrus Induction Rates and Conception Rates by MGA Feeding System in Hanwoo (MGA Feeding System에 의한 발정 동기화 방법이 한우의 발정 발현율과 수태율에 미치는 영향)

  • Lee, M.S.;Jung, Y.H.;Park, S.B.;Im, S.K.;Park, J.J.;Jung, J.K.;Moon, S.J.;Kim, C.K.
    • Journal of Embryo Transfer
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    • v.21 no.3
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    • pp.177-182
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    • 2006
  • This study was conducted to investigate the effects of melengesterol acetate (MGA) and $PGF_{2{\alpha}}$ administrations on serum progesterone level, synchrony of estrus and conception rates in Han-woo. Firstly, ten heifers and one freematin were fed 0.5 mg MGA/day for 14 days in a grain carrier, and after 19 days of MGA feeding, a single injection of 25 mg $PGF_{2{\alpha}}$ were treated. Blood samples were collected to evaluate serum progesterone concentrations from the start of feeding of MGA until the end of feeding and subsequent estrous detection and artificial insemination (AI) at 3 days intervals, and on days of $PGF_{2{\alpha}}$ injection, estrous detection, AI, and 15th and 60th days after AI. The level of progesterone in the blood began to increase from 7 days after MGA feeding, and 9 days after feeding it became 5.4 ng/ml and maintained that level thereafter. On the 33th day when the $PGF_{2{\alpha}}$ was injected, it reached the peak level of 7.6 ng/ml. However, 2-3 days after $PGF_{2{\alpha}}$ injection, it dropped to 1.4 ng/ml drastically (p<0.05). Secondly, one hundred and ninety four Hanwoo heifers or cows were divided into two groups to compare estrous induction and conception rates: the one treated with MGA and $PGF_{2{\alpha}}$, (n=104) and the other with $PGF_{2{\alpha}}$ treatment (two injections at 11 days interval, n=90). The heifers or cows treated with MGA and $PGF_{2{\alpha}}$ were identical to those used as above. The percentages of heifers or cows showed estrus were higher in the $MGA+PGF_{2{\alpha}}$ treatment (91.3%) than in the $PGF_{2{\alpha}}$ treatment (72.2%, p<0.05). Conception rates were also higher in the $MGA+PGF_{2{\alpha}}$ treatment (94.2%) than in the $PGF_{2{\alpha}}$ treatment (88.9%, p<0.05). The results of this experiment indicate that estrus synchronization using $MGA+PGF_{2{\alpha}}$ is more effective than that using $PGF_{2{\alpha}}$ (two injections) in Hanwoo.

Performance Evaluation and Parametric Study of MGA in the Solution of Mathematical Optimization Problems (수학적 최적화 문제를 이용한 MGA의 성능평가 및 매개변수 연구)

  • Cho, Hyun-Man;Lee, Hyun-Jin;Ryu, Yeon-Sun;Kim, Jeong-Tae;Na, Won-Bae;Lim, Dong-Joo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2008.04a
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    • pp.416-421
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    • 2008
  • A Metropolis genetic algorithm (MGA) is a newly-developed hybrid algorithm combining simple genetic algorithm (SGA) and simulated annealing (SA). In the algorithm, favorable features of Metropolis criterion of SA are incorporated in the reproduction operations of SGA. This way, MGA alleviates the disadvantages of finding imprecise solution in SGA and time-consuming computation in SA. It has been successfully applied and the efficiency has been verified for the practical structural design optimization. However, applicability of MGA for the wider range of problems should be rigorously proved through the solution of mathematical optimization problems. Thus, performances of MGA for the typical mathematical problems are investigated and compared with those of conventional algorithms such as SGA, micro genetic algorithm (${\mu}GA$), and SA. And, for better application of MGA, the effects of acceptance level are also presented. From numerical Study, it is again verified that MGA is more efficient and robust than SA, SGA and ${\mu}GA$ in the solution of mathematical optimization problems having various features.

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Development and Application of Metropolis Genetic Algorithm for the Structural Design Optimization (구조물의 설계 최적화를 위한 메트로폴리스 유전알고리즘의 개발 및 적용)

  • 박균빈;류연선;김정태;조현만
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.115-122
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    • 2003
  • A Metropolis genetic algorithm(MGA) is developed and applied for the structural design optimization. In MGA favorable features of Metropolis algorithm in simulated annealing(SA) are incorporated in simple genetic algorithm(SGA), so that the MGA alleviates the disadvantage of finding imprecise solution in SGA and time-consuming computation in SA. Performances of MGA are compared with those of conventional algorithms such as Holland's SGA, Krishnakumar's micro genetic algorithm(μGA), and Kirkpatrick's SA. Typical numerical examples are used to evaluate the favorable features and applicability of MGA From the theoretical evaluation and numerical experience, it is concluded that the proposed MGA is a reliable and efficient tool for structural design optimization.

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A Design of MGA-Pl Supplementary Controller in SVC for Power Oscillation Damping of HVDC Transmission System (초고압 직류송전 시스템의 전력 동요억제를 위한 정지형 무효전력 보상기에 MGA-PI 보조제어기 설계)

  • O, Tae-Gyu;Jeong, Hyeong-Hwan;Heo, Dong-Yeol;Lee, Jeong-Pil
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.7
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    • pp.317-326
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    • 2002
  • In this paper, a methodology for optimal PI supplementary controller using the modified genetic algorithm has been proposed to the oscillation damping in HDVC transmission system. These study processes are summarized as the formulation for load flow calculation in HVDC transmission system with SVC, the investigations on the basic control in HVDC system, the mathematical modeling for dynamic characteristics analyses, and the optimal design of MGA based PI controller generation the supplementary control signal of SVC. Its properties were verified through a series of computer simulations including dynamic stability. It means that the application of MGA-PI controller in HVDC transmission system can contribute the propriety to the improvement of the stability in HVDC transmission system and the design of MGA-OI controller has been proved indispensible when applied to HVDC transmission system.

Distributed Mean Field Genetic Algorithm for Channel Routing (채널배선 문제에 대한 분산 평균장 유전자 알고리즘)

  • Hong, Chul-Eui
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.2
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    • pp.287-295
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    • 2010
  • In this paper, we introduce a novel approach to optimization algorithm which is a distributed Mean field Genetic algorithm (MGA) implemented in MPI(Message Passing Interface) environments. Distributed MGA is a hybrid algorithm of Mean Field Annealing(MFA) and Simulated annealing-like Genetic Algorithm(SGA). The proposed distributed MGA combines the benefit of rapid convergence property of MFA and the effective genetic operations of SGA. The proposed distributed MGA is applied to the channel routing problem, which is an important issue in the automatic layout design of VLSI circuits. Our experimental results show that the composition of heuristic methods improves the performance over GA alone in terms of mean execution time. It is also proved that the proposed distributed algorithm maintains the convergence properties of sequential algorithm while it achieves almost linear speedup as the problem size increases.

A Study on Growth Acceleration in Korean as Indirected by the Maximum Growth Age in Body Height (한국인(韓國人) 신장(身長)의 최대발육연령(最大發育年齡)으로 본 발육촉진현상(發育促進現象)의 추이(推移)에 관(關)한 연구(硏究))

  • Shin, Hyung-Gyun;Park, Soon-Young;Park, Yang-Won
    • Journal of Preventive Medicine and Public Health
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    • v.17 no.1
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    • pp.173-192
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    • 1984
  • On the basis of the study intended to research by crosssectional study keeps pace with semilongitudinal study the growthaccelerating phenomena that Maximum Growth age in teenager's body-height. By the random sampling method, the subject of study are 12659 persons(male; 6355, female; 6304) that they are from 7 ages to 17 ages in the whole country including the rural community. The measurement period passed three month days, the statistical data became electronic data processing system with computer. The other side, body-height and MGA of Koreans who had been for during the period from 1925 to 1966 proved transition of the growth-accelerating phenomena by research data reported between 1913 and 1983. The results are as follows; 1. The Growth and Development-Value of Body-height An age bracket the growth and development-value of body-height were, respectively, male is $123.88{\pm}5.05cm$ and female is $123.29{\pm}5.54cm$ for 7 ages group. these indices increased with age. the top-value reach, respectively. $169.08{\pm}5.62cm$ and $157.57{\pm}6.13cm$. The intersecting ages of male and female were the age $8.5{\sim}12.5$, during these periods, female excelled male but after these periods, male excelled female again. In case of body-height, MGA's are 7.0cm for male between 12 and 13 ages, and 7.01cm for female between 8 and 9 ages. As a rule, body-height of male excelled female but intersection phenomena of male and female appeared between 8.5 and 12.5 ages. By reginal groups, it is most prevailing is Seoul, and medium size cities and rural community rome in order. By regional groups, intersection phenomena of male and female are. a region of Seoul; $$8.5{\sim}11.5$$ ages a region of Daejeon; $$7.5{\sim}9.5$$ ages rural community; $$11.5{\sim}14.5$$ ages the whole country's average; $$8.5{\sim}12.5$$ ages By regional groups, the rate of maximum increase in a year are a region of Seoul; male is 7.23cm as 13 ages female is 7.65cm as 9 ages. a region of Daejeon; male is 7.85cm as 11 ages. female is 8.39cm as 9 ages. rural community; male is 7.65cm as 14 ages. female is 6.25cm as 12 ages. the whole country's average; male is 7.0cm as 13 ages. female is 7.01 as 9 ages. 2. Maximum Growth Age (M.G.A.) By reginal groups, maximum Growth Age's are as below in a region of Seoul, MGA's are 12.63 for male and 9.01 for female, which shows that MGA for female appears about 3.5 years earlier than that for male. In a region of Daejeon, MGA's are 9.20 for male and 8.93 for female, which. show that they are all much the same in M.G.A. In rural community, MGA's are 14.00 for male and 11.89 for female, which shows that MGA for female apperars about 2 years earlier than that for male. In the whole average, MGA's are 13.01 for male and 8.97 for femal, which shows that for female appears about 4 years earlier than that for male. For boy, M.G.A. shows fastest-growing in Daejeon, and Seoul and rural commonly come in order. For girl, It shows equal growth in Seoul and Daejeon, rural community comes later. 3. The M.G.A's in body height of male are respectively the age 15.02 in 1913, 14.23 in 1956, 13.86 in 1967, 13.62 in 1975, and 12.82 in 1981, while those of female are the age 12.0 in 1940, 11.52 in 1965, 9.53 in 1975, and 11.16 in 1980; these data show that the MGA of the Koreans has been getting younger. 4. The equation of linear regression of all the MGA's in body height are as follow; Male: Y(M.G.A)=$-0.020{\times}$ (the year)+15.19: female:Y(MGA)=$-0.028{\times}$(the year)+13.2549. 5. The corelation of all the MGA's in body height are as below; male; r=-0.329 female;r=-0.252 6. From the transition of the growth-accelating phenomena in 1980 we can capture the fact that the MGA's has been getting younger by 0.2 year per 10 years. 7. The MGA's in bodyheight are shown in table 4... 8. The future growth-accelating phenomena in body height are expected to show the similar tendency like that of the past, in 1910's but it should by more precisely reviewed after investigating the phenomena of the years directly ahead.

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A Design of Optimal PID Controller in HVDC Transmission System Using Modified Genetic Algorithm (수정 유전 알고리즘을 이용한 초고압 직류송전 시스템의 최적 PID 제어기 설계)

  • Chung, Hyeng-Hwan;Wang, Yong-Peel;Hur, Dong-Ryol;Moon, Young-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.247-256
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    • 1999
  • In this paper, a methodology for optimal design of PID controller using the modified genetic algorithm has been proposed to improve the transient stability at system fault in HVDC transmission system, mathematical model preparation for stability analysis, and supplementary signal control by an optimal PID controller using the modified genetic algorithm(MGA). The propriety was verified through computer simulations regarding transient stability. It means that the application of MGA-PID controller in HVDC transmission system can contribute the propriety to the improvement of the transient stability in HVDC transmission system and the design of MGA-PID controller has been proved indispensible when applied to HVDC transmission system.

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