The Method of Moments is a numerical technique for solving electromagnetic problems with integral equations. The method discretizes a surface in three dimensions, which reduces the dimension of the problem with one. A drawback of the method is that it yields a dense system of linear equations. This effectively prohibits the solution of large scale problems. Papers I-III describe the Fast Multipole Method. It reduces the cost of computing a dense matrix vector multiplication. This implies that large scale problems can be solved on personal computers. In Paper I the error introduced by the Fast Multipole Method is analyzed. Paper II and Paper III describe the implementation of the Fast Multipole Method. The problem of computing monostatic Radar Cross Section involves many right hand sides. Since the Fast Multipole Method computes a matrix times a vector, iterative techniques are used to solve the linear systems. It is important that the solution time for each system is as low as possible. Otherwise the total solution time becomes too large. Different techniques for reducing the work in the iterative solver are described in Paper IV-VI. Paper IV describes a block Quasi Minimal Residual method for several right hand sides and Sparse Approximate Inverse preconditioner that reduce the number of iterations significantly. In Paper V and Paper VI a method based on linear algebra called the Minimal Residual Interpolation method is described. It reduces the work in an iterative solver by accurately computing an initial guess for the iterative method. In Paper VII a hybrid method between Physical Optics and the Fast Multipole Method is described. It can handle large problems that are out of reach for the Fast Multipole Method.

Kronecker structured representations are used to cope with the state space explosion problem in Markovian modeling and analysis. Currently an open research problem is that of devising strong preconditioners to be used with projection methods for the computation of the stationary vector of Markov chains (MCs) underlying such representations. This paper proposes a block SOR (BSOR) preconditioner for hierarchical Markovian Models (HMMs) that are composed of multiple low level models and a high level model that defines the interaction among low level models. The Kronecker structure of an HMM yields nested block partitionings in its underlying continuous-time MC which may be used in the BSOR preconditioner. The computation of the BSOR preconditioned residual in each iteration of a preconditioned projection method becoms the problem of solving multiple nonsingular linear systems whose coefficient matrices are the diagonal blocks of the chosen partitioning. The proposed BSOR preconditioner solvers these systems using sparse LU or real Schur factors of diagonal blocks. The fill-in of sparse LU factorized diagonal blocks is reduced using the column approximate minimum degree algorithm (COLAMD). A set of numerical experiments are presented to show the merits of the proposed BSOR preconditioner.

Despite the development and use of specialised cardiac preservation solutions, the quality of the donor heart may still be compromised by its obligatory exposure to periods of ischaemia (both cold and warm) followed by reperfusion upon reintroduction of the recipient circulation. This is reflected in Transplant Registry data showing increased primary allograft failure as a function of increasing ischaemic time. The research described in this thesis is designed to further the understanding of the mechanisms by which the donor heart may be adapted to these prolonged periods of ischaemia and reperfusion by the activation of endogenous pro-survival signalling pathways by the addition of pharmacological agents to Celsior, a clinical preservation solution. Studies were conducted in an isolated working rat heart model of donor heart preservation. The first study investigated the cardioprotective effects of a novel inhibitor of poly(ADP-ribose) polymerase 1, INO-1153. Maximum protective effect (after a 6 hour storage period) was observed when the PARP inhibitor was administered prior to cardiac arrest and storage and when the agent was added to the Celsior cardioplegic / storage solution. This protective affect was associated with activation of the Akt signalling pathway and could be prevented by inhibition of Akt phosphorylation and activation. The second study examined functional protection and pro-survival signalling pathway activation in hearts arrested and stored for 6 hours in Celsior supplemented with glyceryl trinitrate (an exogenous source of nitric oxide) and Cariporide (an inhibitor of sodium hydrogen exchange). Here, cardiac protection was accompanied by activation of the ERK 1/2 pro-survival pathway as well as a decrease in apoptosis. The third study examined the cardioprotective effect of supplementation of Celsior with all three agents after an extended (10 hour) period of hypothermic storage. Significant recovery of function was only observed in the triply supplemented hearts, being accompanied by activation of both the Akt and ERK pathways. These studies demonstrate for the first time the feasibility of recruitment of endogenous pro-survival pathways as an approach to increasing the post-storage function of the donor heart. Importantly, for the logistics of clinical transplantation, these pathways can be recruited by addition of appropriate pharmacological agents to the arresting and storage solution.

Quando ar escoa em regime transiente através do duto de admissão, câmaras e válvulas de um motor de combustão interna, alguns efeitos tais como atrito e forças inerciais têm influência direta sobre a eficiência volumétrica do sistema. O presente trabalho, intitulado “Estudo numérico do processo de admissão em um motor de combustão interna utilizando uma metodologia baseada na massa específica pré-condicionada para baixo número de Mach com comparação experimental”, estuda o processo de admissão em um motor de combustão interna simplificado e objetiva investigar o comportamento pulsante presente no duto de admissão e discutir as predições do escoamento através da válvula de admissão por meio da utilização inédita de uma metodologia numérica baseada na massa específica com précondicionamento para baixo número de Mach, incluindo a modelagem tridimensional do duto de admissão na simulação fluidodinâmica. O movimento da válvula de admissão origina números de Mach moderados durante sua abertura. Com o fechamento, o escoamento é restringido abruptamente e uma série de ondas de pressão se propaga através do fluido com baixo número de Mach. Embora a metodologia baseada na massa específica com précondicionamento para baixo número de Mach pareça atrativa, o estudo do escoamento em processos de admissão não tem sido realizado com a utilização desta metodologia, provavelmente por limitações impostas pela robustez e esforço computacional. De modo a verificar a solução numérica, os resultados são comparados a dados experimentais coletados em uma bancada de fluxo construída especificamente com este propósito. Os resultados numéricos mostram-se satisfatórios e diferentes aspectos do jato originado pelo movimento da válvula são expostos e discutidos. / When air flows unsteadily in an internal combustion engine through its inlet pipe, chambers and valves, some effects such as friction and inertial forces have direct influence on the volumetric efficiency of the system. The present work, titled “Numerical study of the intake process of an internal combustion engine using a low Mach preconditioned densitybased method with experimental comparison”, aims to investigate the pulsating phenomena present in an intake pipe of a simplified internal combustion engine and discuss the intake jet flow predictions through the inlet valve by means of the novel use of a low Mach preconditioned density-based method, including the three-dimensional modeling of the intake pipe in the fluid dynamic simulation. Inlet valve movement promotes moderate values of Mach numbers during its opening phase. After closing, the flow is abruptly restricted and a series of pressure waves propagate through the fluid at low Mach numbers. Although low Mach preconditioned density-based method seems to be very attractive in this case, the study of the intake flow process has not been performed using this method, probably due to robustness issues and simulation effort. In order to evaluate the numerical solution, these results are compared to experimental data collected from a flow test bench constructed specifically for this purpose. Numerical results were satisfactory for the amplitudes and the resonance frequencies in the air intake system and different aspects of the jet flow inside the cylinder are exposed and discussed.

Cette thèse étudie la méthode du gradient conjugué et la méthode de Lanczos pour la résolution de problèmes aux moindres carrés non-linéaires sous déterminés et régularisés par un terme de pénalisation quadratique. Ces problèmes résultent souvent d'une approche du maximum de vraisemblance, et impliquent un ensemble de m observations physiques et n inconnues estimées par régression non linéaire. Nous supposons ici que n est grand par rapport à m. Un tel cas se présente lorsque des champs tridimensionnels sont estimés à partir d'observations physiques, par exemple dans l'assimilation de données appliquée aux modèles du système terrestre. Un algorithme largement utilisé dans ce contexte est la méthode de Gauss- Newton (GN), connue dans la communauté d'assimilation de données sous le nom d'assimilation variationnelle des données quadridimensionnelles. Le procédé GN repose sur la résolution approchée d'une séquence de moindres carrés linéaires optimale dans laquelle la fonction coût non-linéaire des moindres carrés est approximée par une fonction quadratique dans le voisinage de l'itération non linéaire en cours. Cependant, il est bien connu que cette simple variante de l'algorithme de Gauss-Newton ne garantit pas une diminution monotone de la fonction coût et sa convergence n'est donc pas garantie. Cette difficulté est généralement surmontée en utilisant une recherche linéaire (Dennis and Schnabel, 1983) ou une méthode de région de confiance (Conn, Gould and Toint, 2000), qui assure la convergence globale des points critiques du premier ordre sous des hypothèses faibles. Nous considérons la seconde de ces approches dans cette thèse. En outre, compte tenu de la grande échelle de ce problème, nous proposons ici d'utiliser un algorithme de région de confiance particulier s'appuyant sur la méthode du gradient conjugué tronqué de Steihaug-Toint pour la résolution approchée du sous-problème (Conn, Gould and Toint, 2000, p. 133-139) La résolution de ce sous-problème dans un espace à n dimensions (par CG ou Lanczos) est considérée comme l'approche primale. Comme alternative, une réduction significative du coût de calcul est possible en réécrivant l'approximation quadratique dans l'espace à m dimensions associé aux observations. Ceci est important pour les applications à grande échelle telles que celles quotidiennement traitées dans les systèmes de prévisions météorologiques. Cette approche, qui effectue la minimisation de l'espace à m dimensions à l'aide CG ou de ces variantes, est considérée comme l'approche duale. La première approche proposée (Da Silva et al., 1995; Cohn et al., 1998; Courtier, 1997), connue sous le nom de Système d'analyse Statistique de l'espace Physique (PSAS) dans la communauté d'assimilation de données, commence par la minimisation de la fonction de coût duale dans l'espace de dimension m par un CG préconditionné (PCG), puis revient l'espace à n dimensions. Techniquement, l'algorithme se compose de formules de récurrence impliquant des vecteurs de taille m au lieu de vecteurs de taille n. Cependant, l'utilisation de PSAS peut être excessivement coûteuse car il a été remarqué que la fonction de coût linéaire des moindres carrés ne diminue pas monotonement au cours des itérations non-linéaires. Une autre approche duale, connue sous le nom de méthode du gradient conjugué préconditionné restreint (RPCG), a été proposée par Gratton and Tshimanga (2009). Celle-ci génère les mêmes itérations en arithmétique exacte que l'approche primale, à nouveau en utilisant la formule de récurrence impliquant des vecteurs taille m. L'intérêt principal de RPCG est qu'il en résulte une réduction significative de la mémoire utilisée et des coûts de calcul tout en conservant la propriété de convergence souhaitée, contrairement à l'algorithme PSAS. / This thesis investigates the conjugate-gradient method and the Lanczos method for the solution of under-determined nonlinear least-squares problems regularized by a quadratic penalty term. Such problems often result from a maximum likelihood approach, and involve a set of m physical observations and n unknowns that are estimated by nonlinear regression. We suppose here that n is large compared to m. These problems are encountered for instance when three-dimensional fields are estimated from physical observations, as is the case in data assimilation in Earth system models. A widely used algorithm in this context is the Gauss-Newton (GN) method, known in the data assimilation community under the name of incremental four dimensional variational data assimilation. The GN method relies on the approximate solution of a sequence of linear least-squares problems in which the nonlinear least-squares cost function is approximated by a quadratic function in the neighbourhood of the current nonlinear iterate. However, it is well known that this simple variant of the Gauss-Newton algorithm does not ensure a monotonic decrease of the cost function and that convergence is not guaranteed. Removing this difficulty is typically achieved by using a line-search (Dennis and Schnabel, 1983) or trust-region (Conn, Gould and Toint, 2000) strategy, which ensures global convergence to first order critical points under mild assumptions. We consider the second of these approaches in this thesis. Moreover, taking into consideration the large-scale nature of the problem, we propose here to use a particular trust-region algorithm relying on the Steihaug-Toint truncated conjugate-gradient method for the approximate solution of the subproblem (Conn, Gould and Toint, 2000, pp. 133-139). Solving this subproblem in the n-dimensional space (by CG or Lanczos) is referred to as the primal approach. Alternatively, a significant reduction in the computational cost is possible by rewriting the quadratic approximation in the m-dimensional space associated with the observations. This is important for large-scale applications such as those solved daily in weather prediction systems. This approach, which performs the minimization in the m-dimensional space using CG or variants thereof, is referred to as the dual approach. The first proposed dual approach (Courtier, 1997), known as the Physical-space Statistical Analysis System (PSAS) in the data assimilation community starts by solving the corresponding dual cost function in m-dimensional space by a standard preconditioned CG (PCG), and then recovers the step in n-dimensional space through multiplication by an n by m matrix. Technically, the algorithm consists of recurrence formulas involving m-vectors instead of n-vectors. However, the use of PSAS can be unduly costly as it was noticed that the linear least-squares cost function does not monotonically decrease along the nonlinear iterations when applying standard termination. Another dual approach has been proposed by Gratton and Tshimanga (2009) and is known as the Restricted Preconditioned Conjugate Gradient (RPCG) method. It generates the same iterates in exact arithmetic as those generated by the primal approach, again using recursion formula involving m-vectors. The main interest of RPCG is that it results in significant reduction of both memory and computational costs while maintaining the desired convergence property, in contrast with the PSAS algorithm. The relation between these two dual approaches and the question of deriving efficient preconditioners (Gratton, Sartenaer and Tshimanga, 2011), essential when large-scale problems are considered, was not addressed in Gratton and Tshimanga (2009).

Quando ar escoa em regime transiente através do duto de admissão, câmaras e válvulas de um motor de combustão interna, alguns efeitos tais como atrito e forças inerciais têm influência direta sobre a eficiência volumétrica do sistema. O presente trabalho, intitulado “Estudo numérico do processo de admissão em um motor de combustão interna utilizando uma metodologia baseada na massa específica pré-condicionada para baixo número de Mach com comparação experimental”, estuda o processo de admissão em um motor de combustão interna simplificado e objetiva investigar o comportamento pulsante presente no duto de admissão e discutir as predições do escoamento através da válvula de admissão por meio da utilização inédita de uma metodologia numérica baseada na massa específica com précondicionamento para baixo número de Mach, incluindo a modelagem tridimensional do duto de admissão na simulação fluidodinâmica. O movimento da válvula de admissão origina números de Mach moderados durante sua abertura. Com o fechamento, o escoamento é restringido abruptamente e uma série de ondas de pressão se propaga através do fluido com baixo número de Mach. Embora a metodologia baseada na massa específica com précondicionamento para baixo número de Mach pareça atrativa, o estudo do escoamento em processos de admissão não tem sido realizado com a utilização desta metodologia, provavelmente por limitações impostas pela robustez e esforço computacional. De modo a verificar a solução numérica, os resultados são comparados a dados experimentais coletados em uma bancada de fluxo construída especificamente com este propósito. Os resultados numéricos mostram-se satisfatórios e diferentes aspectos do jato originado pelo movimento da válvula são expostos e discutidos. / When air flows unsteadily in an internal combustion engine through its inlet pipe, chambers and valves, some effects such as friction and inertial forces have direct influence on the volumetric efficiency of the system. The present work, titled “Numerical study of the intake process of an internal combustion engine using a low Mach preconditioned densitybased method with experimental comparison”, aims to investigate the pulsating phenomena present in an intake pipe of a simplified internal combustion engine and discuss the intake jet flow predictions through the inlet valve by means of the novel use of a low Mach preconditioned density-based method, including the three-dimensional modeling of the intake pipe in the fluid dynamic simulation. Inlet valve movement promotes moderate values of Mach numbers during its opening phase. After closing, the flow is abruptly restricted and a series of pressure waves propagate through the fluid at low Mach numbers. Although low Mach preconditioned density-based method seems to be very attractive in this case, the study of the intake flow process has not been performed using this method, probably due to robustness issues and simulation effort. In order to evaluate the numerical solution, these results are compared to experimental data collected from a flow test bench constructed specifically for this purpose. Numerical results were satisfactory for the amplitudes and the resonance frequencies in the air intake system and different aspects of the jet flow inside the cylinder are exposed and discussed.

A lesão por isquemia-reperfusão (I/R) é o mecanismo fisiopatológico central no desenvolvimento da insuficiência hepática pós-operatória. Diversas estratégias para minimizar suas consequências estão sendo desenvolvidas, mas ainda sem resultados satisfatórios. Recentemente o pré-condicionamento isquêmico remoto (PCIR), método em que ciclos breves de I/R aplicados em um órgão ou membro é capaz de atenuar os resultados da I/R em um órgão distante, vem sendo utilizado, em modelos experimentais, com resultados promissores. No entanto seu mecanismo de ação ainda não foi esclarecido. Um dos mecanismos propostos é a modulação na expressão das citocinas sintetizadas durante a resposta inflamatória que acompanha o processo de I/R. Foram utilizados 36 ratos (Rattus norvegicus), machos, com peso entre 250 e 280 g, divididos em três grupos: Grupo Sham, cirurgia simulada; Grupo IR, isquemia de 70% do fígado por 45 minutos e reperfusão; e Grupo PCIR, pré-condicionamento isquêmico remoto do fígado através de seis ciclos de isquemia-reperfusão da pata do animal, com quatro minutos de isquemia e quatro minutos de reperfusão em cada ciclo, seguido de isquemia hepática semelhante ao do Grupo IR. Terminado os procedimentos cirúrgicos, metade dos animais foi morta decorridos 60 minutos de reperfusão, e a outra metade após 180 minutos. Foi coletado tecido hepático do lobo submetido à isquemia, para estudo histopatológico, utilizando o índice de injúria hepática modificado; e sangue, para dosagem plasmática de TNF-&#945;, IL-6, IL-10 e ALT. A análise histopatológica mostrou que a necrose celular foi significativamente reduzida no Grupo PCIR quando comparado com Grupo IR (p <0,0001). As transaminases mostraram o mesmo padrão com redução significativa dos seus valores no Grupo PCIR quando comparados com o Grupo I-R (p <0,0001). A dosagem das interleucinas mostrou redução significativa na expressão da IL-6 no Grupo PCIR quando comparado com o Grupo IR (p<0,001). Houve aumento da expressão de IL-10 nos grupo PCIR, porém não atingiu significância estatística. Não foi identificada diferença na dosagem de TNF-&#945; nos grupos estudados. O PCI-R foi eficaz na redução na necrose celular resultante da lesão por I-R nos grupos estudados. A redução na síntese de IL-6 segue o padrão observado em outros estudos. / Ischemia/Reperfusion (I/R) injury is an important pathophysiological mechanism in the postoperative liver failure. Different strategies to minimize the I/R liver injury have been developed during the last decades but the results had been disappointing. Recently, the remote ischemic preconditioning (RIPC), a method that involves a brief ischemic episode on an organ or tissue that subsequently affords protection to a remote organ or tissue, have been use in various experimental models with promising results. The precise pathway activated by the RIPC isnt clear, but cytokine release modulation has been proposed as a candidate mechanism. Thirty-six male rats (Rattus norvegicus) were divided in 3 groups: Sham; I/R injury, a 45 minutes lobar (70%) liver ischemia and reperfusion; and RIPC, 6 cycles of 4 minutes of ischemia and 4 minutes of reperfusion of the right hindlimb followed by a 45 minutes lobar (70%) liver ischemia and reperfusion. Liver tissue in the affected lobe and blood samples were collected after 60 minutes and 180 minutes of reperfusion for histopathological study of liver I/R, plasma cytokines (TNF-&#945;, IL-6 and IL-10) and liver aminotransferases measurement (ALT). The histopathological study demonstrated a significant lesser degree of liver necrosis in the RIPC group (p <0,001). The aminotransferases levels followed the same pattern, with significant lower levels in the RIPC group (p <0,001). The cytokines assessment showed a reduction in the expression of IL-6 in the RIPC when compared with the I/R group (p <0,01). Interleukin-10 levels were higher in the RIPC group, but the difference wasnt significant. The TNF-&#945; measurement didnt show any difference in the groups. The RIPC model presented consistently reduced the I/R injury to the liver and the IL-6 expression was similar to the reported in other studies.

Three CMEs which erupted on 2017 Sep 4 and 6 underwent mutual interaction before reaching Earth on Sep 6-9, where it gave rise to a complex and unexpectedly geoeffective structure as detected by WIND at L1. The spacecraft first observed an interplanetary (IP) shock on Sep 6 followed by a turbulent sheath. The leg of the CME flux rope is detected on Sep 7, in which clear signatures of a shock-in-a-cloud can be distinguished, coming from the third CME which propagated into the preceding flux rope. We model the source of this complex ejecta with WSA-ENLIL+Cone and EUHFORIA to assess and compare the overall performance for interacting CMEs as opposed to single CME events. We find that following the conventional algorithm for determination of input parameters give large deviation in the event prediction at L1. The overestimated density of the IP shock 1 is due to the way of implementation of the magnetogram in WSA model. Excluding the slow CME from the input leads to even larger deviation. The prediction of IP shock 1 drastically improves by introducing of a customized density enhancement factor (dcld) based on coronagraph image observations. This novel approach, is simple and accessible, and could be applied to improve the forecast for fast, undisturbed CMEs. The deviation in the prediction of IP shock 2 comes from its interaction with the low proton temperature environment of the preceding magnetic cloud, giving rise to an expansion of the shock front. Additionally, the properties of the background solar wind plasma have been preconditioned by passage of the previous IP shock. This was confirmed from the kilometric type II radio burst emission following the eruption of the third CME. The propagation profile of this CME implies an almost non-existent deceleration in the interplanetary medium, in contrast to the expected CME deceleration due to interaction with the background plasma. In summary, this study presents clear indications that magnetic interaction must be taken into account to reliably forecast multiple CME events. Preconditioning of previous CMEs must also be considered in more depth, and ultimately requires a realistic, time-dependent model of the ambient solar wind which responds well to propagating shock waves. Models in space physics presents us with the perfect tools for understanding not only the physical processes that the simplified models can predict, but perhaps more importantly, help us begin to understand what the models fail to predict.

Made available in DSpace on 2015-03-03T15:32:44Z (GMT). No. of bitstreams: 1 ElvisNM_DISSERT.pdf: 1325328 bytes, checksum: 26a5738f48a900e63cafc3f1e0b1d776 (MD5) Previous issue date: 2014-04-22 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / Neste trabalho estudamos o problema n?o linear F(X) = 0, onde F ? continuamente diferenci?vel com F : Rn-> Rn. Para solucion?-lo empregamos o m?todo de Newton Inexato obtendo um sistema linearizado J(xk)sk =-F(xk), onde J(xk) representa a matriz Jacobiana no ponto xk e o passo iterativo sk ? calculado por meio do m?todo do Res?duo M?nimo Generalizado (GMRES), que pertence ? fam?lia dos m?todos de proje??o em subespa?os de Krylov. Afim de evitar de evitar o acr?scimo no custo computacional devido ao aumento a cada itera??o na dimens?o do subespa?o de Krylov utilizamos o GMRES com recome?os ou GMRES(m), o qual pode apresentar problemas de estagna??o (duas solu??es consecutivas iguais ou quase iguais). Uma das maneiras de contornar essa estagna??o est? no uso de precondicionadores no sistema inicial Ax = b, passando a um sistema equivalente do tipo M-1Ax = M-1b onde a matriz M ? chamada de precondicionador e tem o papel de facilitar a solu??o do sistema inicial. A escolha de precondicionadores ? uma ?rea de pesquisa que remete ao conhecimento espec?fico a priori do problema a ser resolvido e/ou da estrutura da matriz dos coeficientes A. Neste trabalho buscamos estudar o precondicionamento pela esquerda no m?todo do Newton Inexato - GMRES(m). Apresentamos tamb?m uma estrat?gia que permite a mudan?a entre 3 tipos de precondicionadores (Jacobi, ILU e SSOR) dependendo de informa??es advindas da aplica??o do GMRES(m) a cada itera??o do Newton Inexato, ou seja, a cada vez que se resolve o sistema linearizado precondicionado. Assim fazemos ao final uma compara??o entre nossas estrat?gias e o uso de precondicionadores fixos na resolu??o de problemas teste por meio do NI-GMRES

A lesão por isquemia-reperfusão (I/R) é o mecanismo fisiopatológico central no desenvolvimento da insuficiência hepática pós-operatória. Diversas estratégias para minimizar suas consequências estão sendo desenvolvidas, mas ainda sem resultados satisfatórios. Recentemente o pré-condicionamento isquêmico remoto (PCIR), método em que ciclos breves de I/R aplicados em um órgão ou membro é capaz de atenuar os resultados da I/R em um órgão distante, vem sendo utilizado, em modelos experimentais, com resultados promissores. No entanto seu mecanismo de ação ainda não foi esclarecido. Um dos mecanismos propostos é a modulação na expressão das citocinas sintetizadas durante a resposta inflamatória que acompanha o processo de I/R. Foram utilizados 36 ratos (Rattus norvegicus), machos, com peso entre 250 e 280 g, divididos em três grupos: Grupo Sham, cirurgia simulada; Grupo IR, isquemia de 70% do fígado por 45 minutos e reperfusão; e Grupo PCIR, pré-condicionamento isquêmico remoto do fígado através de seis ciclos de isquemia-reperfusão da pata do animal, com quatro minutos de isquemia e quatro minutos de reperfusão em cada ciclo, seguido de isquemia hepática semelhante ao do Grupo IR. Terminado os procedimentos cirúrgicos, metade dos animais foi morta decorridos 60 minutos de reperfusão, e a outra metade após 180 minutos. Foi coletado tecido hepático do lobo submetido à isquemia, para estudo histopatológico, utilizando o índice de injúria hepática modificado; e sangue, para dosagem plasmática de TNF-&#945;, IL-6, IL-10 e ALT. A análise histopatológica mostrou que a necrose celular foi significativamente reduzida no Grupo PCIR quando comparado com Grupo IR (p <0,0001). As transaminases mostraram o mesmo padrão com redução significativa dos seus valores no Grupo PCIR quando comparados com o Grupo I-R (p <0,0001). A dosagem das interleucinas mostrou redução significativa na expressão da IL-6 no Grupo PCIR quando comparado com o Grupo IR (p<0,001). Houve aumento da expressão de IL-10 nos grupo PCIR, porém não atingiu significância estatística. Não foi identificada diferença na dosagem de TNF-&#945; nos grupos estudados. O PCI-R foi eficaz na redução na necrose celular resultante da lesão por I-R nos grupos estudados. A redução na síntese de IL-6 segue o padrão observado em outros estudos. / Ischemia/Reperfusion (I/R) injury is an important pathophysiological mechanism in the postoperative liver failure. Different strategies to minimize the I/R liver injury have been developed during the last decades but the results had been disappointing. Recently, the remote ischemic preconditioning (RIPC), a method that involves a brief ischemic episode on an organ or tissue that subsequently affords protection to a remote organ or tissue, have been use in various experimental models with promising results. The precise pathway activated by the RIPC isnt clear, but cytokine release modulation has been proposed as a candidate mechanism. Thirty-six male rats (Rattus norvegicus) were divided in 3 groups: Sham; I/R injury, a 45 minutes lobar (70%) liver ischemia and reperfusion; and RIPC, 6 cycles of 4 minutes of ischemia and 4 minutes of reperfusion of the right hindlimb followed by a 45 minutes lobar (70%) liver ischemia and reperfusion. Liver tissue in the affected lobe and blood samples were collected after 60 minutes and 180 minutes of reperfusion for histopathological study of liver I/R, plasma cytokines (TNF-&#945;, IL-6 and IL-10) and liver aminotransferases measurement (ALT). The histopathological study demonstrated a significant lesser degree of liver necrosis in the RIPC group (p <0,001). The aminotransferases levels followed the same pattern, with significant lower levels in the RIPC group (p <0,001). The cytokines assessment showed a reduction in the expression of IL-6 in the RIPC when compared with the I/R group (p <0,01). Interleukin-10 levels were higher in the RIPC group, but the difference wasnt significant. The TNF-&#945; measurement didnt show any difference in the groups. The RIPC model presented consistently reduced the I/R injury to the liver and the IL-6 expression was similar to the reported in other studies.