• 제목/요약/키워드: BP model

검색결과 268건 처리시간 0.026초

Polymorphisms in the Thymidylate Synthase Gene and Risk of Colorectal Cancer

  • Gao, Chang-Ming;Ding, Jian-Hua;Li, Su-Ping;Liu, Yan-Ting;Cao, Hai-Xia;Wu, Jian-Zhong;Tajima, Kazuo
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권8호
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    • pp.4087-4091
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    • 2012
  • To evaluate the relationship between polymorphisms (28 bp repeated sequences in 5'-UTR and 6-bp ins/del in 3'-UTR) in then thymidylate synthetase gene (TS) and risk of colorectal, colon and rectal cancers, we conducted a case-control study with 315 cases of colorectal cancer and 439 population-based controls in Jiangsu province, China. TS genotypes were identified using PCR.RFLP (restriction fragment length polymorphism) methods. Odds ratios (ORs) were estimated with an unconditional logistic regression model. We found that the distributions of 5'-UTR genotypes in TS were significantly different between controls and male colon cases (${\chi}^2$=8.25, P = 0.016). Compared with 3R/3R genotype, individuals with the 2R allele were at an increased risk of colon cancer (age-, BMI-, smoking- and alcohol drinking-adjusted OR=1.98, 95%CI: 1.11-3.53) among men. In ccontrast, the 6-bp ins/del polymorphism at the TS 3'- UTR did not influence risk of the colorectal, colon and rectal cancers. When combined genotypes for both TS 5'-UTR and 3'-UTR polymorphisms were evaluated, individuals with the 5'-UTR 2R allele had a OR of 3.61 (95%CI: 1.38-9.49) for colon cancer among men with the 3'-UTR .6bp/-6bp genotype. These results show that the polymorphism of the 28 bp repeated sequences in TS 5'-UTR could influence susceptibility to colon cancer and that there was a coordinated effect between TS 3'-UTR and 5'-UTR polymorphisms in increasing risk of colon cancer among Chinese men.

동적 변화구조의 역전달 신경회로와 로보트의 역 기구학 해구현에의 응용 (A Dynamically Reconfiguring Backpropagation Neural Network and Its Application to the Inverse Kinematic Solution of Robot Manipulators)

  • 오세영;송재명
    • 대한전기학회논문지
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    • 제39권9호
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    • pp.985-996
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    • 1990
  • An inverse kinematic solution of a robot manipulator using multilayer perceptrons is proposed. Neural networks allow the solution of some complex nonlinear equations such as the inverse kinematics of a robot manipulator without the need for its model. However, the back-propagation (BP) learning rule for multilayer perceptrons has the major limitation of being too slow in learning to be practical. In this paper, a new algorithm named Dynamically Reconfiguring BP is proposed to improve its learning speed. It uses a modified version of Kohonen's Self-Organizing Feature Map (SOFM) to partition the input space and for each input point, select a subset of the hidden processing elements or neurons. A subset of the original network results from these selected neuron which learns the desired mapping for this small input region. It is this selective property that accelerates convergence as well as enhances resolution. This network was used to learn the parity function and further, to solve the inverse kinematic problem of a robot manipulator. The results demonstrate faster learning than the BP network.

The complete mitochondrial genome of Arabidopsis thaliana (Brassicaceae) isolated in Korea

  • PARK, Jongsun;XI, Hong;KIM, Yongsung
    • 식물분류학회지
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    • 제51권2호
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    • pp.176-180
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    • 2021
  • Arabidopsis thaliana (L.) Heynh. is a small plant species that serves as a model organism of plant biology and genetics. Here, we present the first complete mitochondrial genome of Korean A. thaliana natural isolate (named as 180404IB4), which is 368,875 bp long and contains 58 genes (33 protein-coding genes, 22 tRNAs, and three rRNAs), with a GC ratio of 44.8%. Sixty-four single-nucleotide polymorphisms and 11 insertion and deletion regions (1,089 bp in length) are identified against the Col-0 ecotype, showing one large insertion of 1,069 bp without structural variation. Phylogenetic trees constructed from 30 conserved genes indicate that the 180404IB4 mitochondrial genome is clustered with Col-0 and three East Asian ecotypes.

Junction Temperature Prediction of IGBT Power Module Based on BP Neural Network

  • Wu, Junke;Zhou, Luowei;Du, Xiong;Sun, Pengju
    • Journal of Electrical Engineering and Technology
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    • 제9권3호
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    • pp.970-977
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    • 2014
  • In this paper, the artificial neural network is used to predict the junction temperature of the IGBT power module, by measuring the temperature sensitive electrical parameters (TSEP) of the module. An experiment circuit is built to measure saturation voltage drop and collector current under different temperature. In order to solve the nonlinear problem of TSEP approach as a junction temperature evaluation method, a Back Propagation (BP) neural network prediction model is established by using the Matlab. With the advantages of non-contact, high sensitivity, and without package open, the proposed method is also potentially promising for on-line junction temperature measurement. The Matlab simulation results show that BP neural network gives a more accuracy results, compared with the method of polynomial fitting.

우리나라 외환시장의 차익거래 유인에 대한 분석 (Margin and Funding Liquidity: An Empirical Analysis on the Covered Interest Parity in Korea)

  • 정대희
    • KDI Journal of Economic Policy
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    • 제34권1호
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    • pp.29-52
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    • 2012
  • 한국 원화와 미 달러화 간 무위험 이자율 평형관계(covered interest parity)의 괴리는 2007~08년 글로벌 금융위기 시 큰 폭으로 증가하여 1,000bp(2008년 11월)를 상회한 바 있고, 최근에도 100bp를 기록하는 등 여전히 높은 수준을 유지하고 있다. 본고는 금융위기시 무위험 이자율 평형관계가 큰 폭으로 붕괴된 현상을 설명하기 위해 Garleanu and Pedersen(2011)의 마진을 기초로 한 자산가격결정모형(margin-based asset pricing model)을 상정하고 칼만 필터(Kalman filtering) 기법을 활용하여 실증분석을 시도하였다. 분석 결과, 무위험 이자율 평형관계의 괴리는 글로벌 달러 유동성 및 원화를 이용한 자금조달여건과 유의한 관계를 지니는 것으로 나타났다. 특히 유동성과 자금조달여건 간에 음의 상관관계가 존재하여 달러 유동성 위기 시 무위험 이자율 평형관계의 괴리가 추가적으로 증폭되는 유동성 악순환(liquidity spiral) 현상이 나타났음을 발견하였다. 또한 본고는 달러 유동성 공급 및 자금조달여건의 개선에도 불구하고, 여전히 차익거래 유인이 높은 것은 환율 변동성이 높은 수준에서 유지되고 있는 것과 관련이 있음을 보였다.

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Negative association between high temperature-humidity index and milk performance and quality in Korean dairy system: big data analysis

  • Dongseok Lee;Daekyum Yoo;Hyeran Kim;Jakyeom Seo
    • Journal of Animal Science and Technology
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    • 제65권3호
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    • pp.588-595
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    • 2023
  • The aim of this study was to investigate the effects of heat stress on milk traits in South Korea using comprehensive data (dairy production and climate). The dataset for this study comprised 1,498,232 test-day records for milk yield, fat- and protein-corrected milk, fat yield, protein yield, milk urea nitrogen (MUN), and somatic cell score (SCS) from 215,276 Holstein cows (primiparous: n = 122,087; multiparous: n = 93,189) in 2,419 South Korean dairy herds. Data were collected from July 2017 to April 2020 through the Dairy Cattle Improvement Program, and merged with meteorological data from 600 automatic weather stations through the Korea Meteorological Administration. The segmented regression model was used to estimate the effects of the temperature-humidity index (THI) on milk traits and elucidate the break point (BP) of the THI. To acquire the least-squares mean of milk traits, the generalized linear model was applied using fixed effects (region, calving year, calving month, parity, days in milk, and THI). For all parameters, the BP of THI was observed; in particular, milk production parameters dramatically decreased after a specific BP of THI (p < 0.05). In contrast, MUN and SCS drastically increased when THI exceeded BP in all cows (p < 0.05) and primiparous cows (p < 0.05), respectively. Dairy cows in South Korea exhibited negative effects on milk traits (decrease in milk performance, increase in MUN, and SCS) when the THI exceeded 70; therefore, detailed feeding management is required to prevent heat stress in dairy cows.

Fenobam promoted the neuroprotective effect of PEP-1-FK506BP following oxidative stress by increasing its transduction efficiency

  • Ahn, Eun Hee;Kim, Dae Won;Shin, Min Jea;Jo, Hyo Sang;Eom, Seon Ae;Kim, Duk-Soo;Park, Eun Young;Park, Jong Hoon;Cho, Sung-Woo;Park, Jinseu;Eum, Won Sik;Son, Ora;Hwang, Hyun Sook;Choi, Soo Young
    • BMB Reports
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    • 제46권11호
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    • pp.561-566
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    • 2013
  • We examined the ways in which fenobam could promote not only the transduction of PEP-1-FK506BP into cells and tissues but also the neuroprotective effect of PEP-1-FK506BP against ischemic damage. Fenobam strongly enhanced the protective effect of PEP-1-FK506BP against $H_2O_2$-induced toxicity and DNA fragmentation in C6 cells. In addition, combinational treatment of fenobam with PEP-1-FK506BP significantly inhibited the activation of Akt and MAPK induced by $H_2O_2$, compared to treatment with PEP-1-FK506BP alone. Interestingly, our results showed that fenobam significantly increased the transduction of PEP-1-FK506BP into both C6 cells and the hippocampus of gerbil brains. Subsequently, a transient ischemic gerbil model study demonstrated that fenobam pretreatment led to the increased neuroprotection of PEP-1-FK506BP in the CA1 region of the hippocampus. Therefore, these results suggest that fenobam can be a useful agent to enhance the transduction of therapeutic PEP-1-fusion proteins into cells and tissues, thereby promoting their neuroprotective effects.

Prediction of downburst-induced wind pressure coefficients on high-rise building surfaces using BP neural network

  • Fang, Zhiyuan;Wang, Zhisong;Li, Zhengliang
    • Wind and Structures
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    • 제30권3호
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    • pp.289-298
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    • 2020
  • Gusts generated by downburst have caused a great variety of structural damages in many regions around the world. It is of great significance to accurately evaluate the downburst-induced wind load on high-rise building for the wind resistance design. The main objective of this paper is to propose a computational modeling approach which can satisfactorily predict the mean and fluctuating wind pressure coefficients induced by downburst on high-rise building surfaces. In this study, using an impinging jet to simulate downburst-like wind, and simultaneous pressure measurements are obtained on a high-rise building model at different radial locations. The model test data are used as the database for developing back propagation neural network (BPNN) models. Comparisons between the BPNN prediction results and those from impinging jet test demonstrate that the BPNN-based method can satisfactorily and efficiently predict the downburst-induced wind pressure coefficients on single and overall surfaces of high-rise building at various radial locations.

Effect of an herbal formulation on DOCA-salt and fructose induced models of hypertension in rats

  • Athare, CL;Mohan, M;Kasture, SB
    • Advances in Traditional Medicine
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    • 제8권4호
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    • pp.354-364
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    • 2008
  • The present study was carried out to investigate the antihypertensive effect of a folklore herbal formulation (HF) (300mg/kg/day; p.o.) in deoxycorticosterone acetate (DOCA)-salt induced and fructose induced hypertensive rats. In DOCA model, DOCA (15 mg/kg, s.c., twice a week) was administered to unilateral nephrectomized rats for 4 weeks. In fructose model, drinking water was replaced with 10% fructose solution for 6 weeks to induce hypertension. Systolic blood pressure (BP) was measured once every week during the treatment schedule. After completion of treatment schedule, BP and vascular reactivity to various agonists like Noradrenaline, Adrenaline, Phenylephrine and Serotonin (5-hydroxytrptamine; 5-HT) were recorded in rats of both models. A cumulative concentration response curve of 5-HT was carried out in isolated rat fundus strip of the DOCA-salt induced and fructose induced hypertensive rats. The results tend to suggest that HF possesses antihypertensive activity.

복합재료 연료전지 스택의 열응력 해석 (Thermal Stress Analysis of a Fuel Cell Stack using an Orthotropic Material Model)

  • 전지훈;황운봉;엄석기;김수환;임태원
    • 한국복합재료학회:학술대회논문집
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    • 한국복합재료학회 2004년도 춘계학술발표대회 논문집
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    • pp.206-209
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    • 2004
  • Mechanical behavior of a fuel stack was studied using an orthotropic material model. The fuel stack is essentially composed of a bipolar plate (BP), a gasket, an end plate, a membrane electrolyte assembly (MEA), and a gas diffusion layer (GDL). Each component is fastened with a suitable pressure. It is important to maintain a suitable contact pressure distribution of BP, because it influences the power efficiency of the fuel cell stack. When it is exposed to high temperature, its behavior must be stable. Hence, we performed stress analysis at high temperature as well as at room temperature. At high temperature, the contact pressure distribution becomes poor. Many patents have shown that using an elastomer can overcome this phenomena. Its effect was also studied. By using an elastomer, we found a good contact pressure distribution at high temperature as well as at room temperature.

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