Papel de las GTPasas de la familia rho en la señalización mediada por el receptor P2X7

El objetivo de este proyecto es estudiar la señalización del receptor P2X7 en respuesta a ATP en macrófagos J774A.1 y en células CHO K1. Para ello, se subclonó el gen que codifica para la proteína P2X7 en el vector PMT2 HA AA. Este plásmido fue transfectado a células CHO K1, J774.A1 y HEK 293T para distintas pruebas como la movilización de calcio intracelular para comprobar si ambos tipos celulares muestran la misma señal, y además se miró la expresión de este receptor y si su activación mediada por ATP se traduce en la activación de proteínas de la familia Rho. Se ha visto que las J774A.1 expresan funcionalmente el receptor P2X7, mientras que las CHO K1 muestran una respuesta funcional diferente que no se corresponde con la clásica señalización del P2X7 asociado a la apertura del canal y posterior poro. Además, al expresar el receptor en celúlas HEK 293T, se ha visto de una manera indirecta, midiendo la fosforilación de PAK, que la ruta de rac se regula de forma positiva cuando se activa el receptor P2X7 en macrófagos.

Asymptotic scaling in the two-dimensional O(3) Nonlinear sigma model: a Monte Carlo study on parallel computers

We investigate the 2d O(3) model with the standard action by Monte Carlo simulation at couplings β up to 2.05. We measure the energy density, mass gap and susceptibility of the model, and gather high statistics on lattices of size L ≤ 1024 using the Floating Point Systems T-series vector hypercube and the Thinking Machines Corp.'s Connection Machine 2. Asymptotic scaling does not appear to set in for this action, even at β = 2.10, where the correlation length is 420. We observe a 20% difference between our estimate m/Λ^─_(Ms) = 3.52(6) at this β and the recent exact analytical result . We use the overrelaxation algorithm interleaved with Metropolis updates and show that decorrelation time scales with the correlation length and the number of overrelaxation steps per sweep. We determine its effective dynamical critical exponent to be z' = 1.079(10); thus critical slowing down is reduced significantly for this local algorithm that is vectorizable and parallelizable.

We also use the cluster Monte Carlo algorithms, which are non-local Monte Carlo update schemes which can greatly increase the efficiency of computer simulations of spin models. The major computational task in these algorithms is connected component labeling, to identify clusters of connected sites on a lattice. We have devised some new SIMD component labeling algorithms, and implemented them on the Connection Machine. We investigate their performance when applied to the cluster update of the two dimensional Ising spin model.

Finally we use a Monte Carlo Renormalization Group method to directly measure the couplings of block Hamiltonians at different blocking levels. For the usual averaging block transformation we confirm the renormalized trajectory (RT) observed by Okawa. For another improved probabilistic block transformation we find the RT, showing that it is much closer to the Standard Action. We then use this block transformation to obtain the discrete β-function of the model which we compare to the perturbative result. We do not see convergence, except when using a rescaled coupling β_E to effectively resum the series. For the latter case we see agreement for m/ Λ^─_(Ms) at , β = 2.14, 2.26, 2.38 and 2.50. To three loops m/Λ^─_(Ms) = 3.047(35) at β = 2.50, which is very close to the exact value m/ Λ^─_(Ms) = 2.943. Our last point at β = 2.62 disagrees with this estimate however.

Identificação da fase sigma em uma junta soldada pelo processo TIG manual autógeno de um aço hiperduplex SAF 2707HD (UNS S32707) por difração de raios-x.

O aço inoxidável hiperduplex possui alta resistência a corrosão por pite em ambientes contendo cloretos, quando comparado a outros aços inoxidáveis comercialmente conhecidos. Possui boas propriedades mecânicas, com limite de escoamento superior a 700MPa e limite de resistência a tração em torno de 1000MPa. Essas propriedades o tornam muito atrativos para aplicações em ambientes contendo cloretos, e por isso tem tido destaque na indústria de óleo e gás, refinarias, plataformas offshore, etc. A liga hiperduplex é composta por uma estrutura bifásica, contendo proporções aproximadamente iguais de ferrita e austenita. Esse material possui boa soldabilidade, mas por ser termodinamicamente metaestável, em altas temperaturas pode ocorrer a precipitação de fases intermetálicas não desejáveis, o que resulta em perda de propriedades mecânicas e diminuição da resistência a corrosão. A fase sigma tem sido fortemente estudada, pois é comum sua precipitação nos aços inoxidáveis da família duplex durante o procedimento de soldagem se este não for muito bem controlado. A fase sigma precipita preferencialmente na fase ferrítica, devido a maior concentração de Cr e Mo, que são os elementos formadores da fase. A resistência a corrosão é reduzida e as propriedades mecânicas do material são alteradas o tornando frágil devido a presença da fase sigma. É formada entre 600C e 1000C e possui uma estrutura tetragonal complexa. O objetivo do trabalho foi identificar a possível presença da fase sigma na junta soldada do aço inoxidável hiperduplex SAF 2707 HD (UNS S32707) pelo processo TIG autógeno manual através da difração de raios-x. Nessa pesquisa, foram analisadas uma junta soldada do material pelo processo TIG autógeno manual com arco pulsado. Complementando o estudo foram analisadas seis amostras do aço inoxidável superduplex, sendo que cinco amostras sofreram tratamento térmico para a proposital formação da fase sigma. O refinamento do resultado da difração das amostras foi feito utilizando o método de Rietveld no software Topas Academic versão 4.1. O resultado da amostra soldada de hiperduplex apresentou as fases austenita, ferrita e alguns prováveis óxidos. Os resultados das amostras de superduplex tratadas termicamente apresentaram a fase sigma, conforme esperado na pesquisa, e as fases austenita e ferrita.

Model based learning of sigma points in unscented Kalman filtering

The unscented Kalman filter (UKF) is a widely used method in control and time series applications. The UKF suffers from arbitrary parameters necessary for a step known as sigma point placement, causing it to perform poorly in nonlinear problems. We show how to treat sigma point placement in a UKF as a learning problem in a model based view. We demonstrate that learning to place the sigma points correctly from data can make sigma point collapse much less likely. Learning can result in a significant increase in predictive performance over default settings of the parameters in the UKF and other filters designed to avoid the problems of the UKF, such as the GP-ADF. At the same time, we maintain a lower computational complexity than the other methods. We call our method UKF-L. ©2010 IEEE.

Model based learning of sigma points in unscented Kalman filtering

The unscented Kalman filter (UKF) is a widely used method in control and time series applications. The UKF suffers from arbitrary parameters necessary for sigma point placement, potentially causing it to perform poorly in nonlinear problems. We show how to treat sigma point placement in a UKF as a learning problem in a model based view. We demonstrate that learning to place the sigma points correctly from data can make sigma point collapse much less likely. Learning can result in a significant increase in predictive performance over default settings of the parameters in the UKF and other filters designed to avoid the problems of the UKF, such as the GP-ADF. At the same time, we maintain a lower computational complexity than the other methods. We call our method UKF-L. © 2011 Elsevier B.V.

SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases

The Internet has enabled the creation of a growing number of large-scale knowledge bases in a variety of domains containing complementary information. Tools for automatically aligning these knowledge bases would make it possible to unify many sources of structured knowledge and answer complex queries. However, the efficient alignment of large-scale knowledge bases still poses a considerable challenge. Here, we present Simple Greedy Matching (SiGMa), a simple algorithm for aligning knowledge bases with millions of entities and facts. SiGMa is an iterative propagation algorithm which leverages both the structural information from the relationship graph as well as flexible similarity measures between entity properties in a greedy local search, thus making it scalable. Despite its greedy nature, our experiments indicate that SiGMa can efficiently match some of the world's largest knowledge bases with high precision. We provide additional experiments on benchmark datasets which demonstrate that SiGMa can outperform state-of-the-art approaches both in accuracy and efficiency.

The effect of cyanobacterial crude extract on the transcription of GST mu, GST kappa and GST rho in different organs of goldfish (Carassius auratus)

The glutathione S-transferases play important roles in the detoxification of microcystin. Core-sequences of three classes of GST (mu, kappa and rho) were cloned from goldfish (Carassius auratus L) i.p. injected with cyanobacterial crude extract at two doses (50 and 200 mu g MC-LReq kg(-1) BW). The relative changes of the mRNA abundance in liver, kidney and intestine were analyzed by real-time PCR. The transcription of GST mu was inhibited in intestine at both doses and the transcription of GST kappa was inhibited from 12 to 48 h in kidney at both doses. The decreased transcription of GST rho was detected in all three organs at the high dose. It is suggested that transcription inhibition of GST rho might be significant in MCs toxicity at higher toxin concentration in omnivorous freshwater fish. Alteration in transcription of GSTs stimulated by MCs implicates an increased health risk to fish. (C) 2008 Published by Elsevier B.V.

Sigma-Delta模数转换器的设计研究

Submitted by zhangdi (zhangdi@red.semi.ac.cn) on 2009-04-13T11:45:31Z

高性能开关电流存储单元及其Sigma-Delta 调制器的研究

Submitted by zhangdi (zhangdi@red.semi.ac.cn) on 2009-04-13T11:45:31Z

Decoherence of two Josephson charge qubits coupled via sigma(x)sigma(x)-type coupling and exposed to sigma(x) noise

Decoherence properties of two Josephson charge qubits coupled via the sigma(x)sigma(x) type are investigated. Considering the special structure of this new design, the dissipative effects arising from the circuit impedance providing the fluxes for the qubits' superconducting quantum interference device loops coupled to the sigma(x) qubit variables are considered. The results show that the overall decoherence effects are significantly strong in this qubit design. It is found that the dissipative effects are stronger in the case of coupling to two uncorrelated baths than are found in the case of one common bath.

A direct digital frequency synthesizer with fourth-order phase domain Delta Sigma noise shaper and 12-bit current-steering DAC

This paper presents a direct digital frequency synthesizer (DDFS) with a 16-bit accumulator, a fourth-order phase domain single-stage Delta Sigma interpolator, and a 300-MS/s 12-bit current-steering DAC based on the Q(2) Random Walk switching scheme. The Delta Sigma interpolator is used to reduce the phase truncation error and the ROM size. The implemented fourth-order single-stage Delta Sigma noise shaper reduces the effective phase bits by four and reduces the ROM size by 16 times. The DDFS prototype is fabricated in a 0.35-mu m CMOS technology with active area of 1.11 mm(2) including a 12-bit DAC. The measured DDFS spurious-free dynamic range (SFDR) is greater than 78 dB using a reduced ROM with 8-bit phase, 12-bit amplitude resolution and a size of 0.09 mm(2). The total power consumption of the DDFS is 200)mW with a 3.3-V power supply.

A direct digital frequency synthesizer with single-stage delta-sigma interpolator and current-steering DAC

This paper presents a direct digital frequency synthesizer (DDFS) with a 16-bit accumulator, a 4th-order single-stage pipelined delta-sigma interpolator and a 300MS/s 12-bit current-steering DAC based on Q(2) Random Walk switching scheme. The delta-sigma interpolator is used to reduce the phase truncation error and the ROM size. The measured spurious-free dynamic range (SFDR) is greater than 80 dB for 8-bit phase value and 12-bit sine-amplitude output. The DDFS prototype is fabricated in a 0.35um CMOS technology with core area of 1.11mm(2).