103,218 research outputs found
Weak and Strong Reinforcement Number For a Graph
No full textIntroducing the weak reinforcement number which is the minimum number of added edges to reduce the weak dominating number, and giving some boundary of this new parameter and trees
Hey Marx! Can´t live... Without You
No full textThe purpose of this article is to re-discover and re-announce the importance and significance of Marxism through the critiques of Gregory Elliot to Marxists Eric Hobsbawm, Perry Anderson, and to a neo-conservative Francis Fukuyama in his book, namely, the Ends in Sight (2008). This book brings these thinkers close together concerning their different past and future perspectives of capitalism and socialism respecting the statement of ¿end of history¿.El objetivo de este artículo es re-descubrir y re-anunciar la importancia y el significando del Marxismo a través de las críticas propuestas por Gregory Elliott en su libro Ends in Sight (2008) a los marxistas Eric Hobsbawn, Perry Anderson y al neo-conservador Francis Fukuyama. El libro recoge, por medio de estos pensadores, las diferentes perspectivas, pasadas y futuras, del capitalismo y el socialismo a través de la declaración el "fin de la historia
M. Dogan et J.D. Kasarda, The Metropolis Era ; vol. I : World of Giant Cities
No full textChaline Claude. M. Dogan et J.D. Kasarda, The Metropolis Era ; vol. I : World of Giant Cities. In: Annales de Géographie, t. 98, n°548, 1989. pp. 480-481
M. Dogan et J.D. Kasarda, The Metropolis Era ; vol. I : World of Giant Cities
No full textChaline Claude. M. Dogan et J.D. Kasarda, The Metropolis Era ; vol. I : World of Giant Cities. In: Annales de Géographie, t. 98, n°548, 1989. pp. 480-481
Letter, [Author unclear] to Paulina T. Merritt
No full textHandwritten letter to Paulina Merritt from an unknown author, October 1, 1876.
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
No full textElectrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is required that clinicians scan the ECG signal for R-peaks (the highest peak of the QRS complex) detection, which relies on their expertise and takes enormous time. In order to provide more realistic treatment of cardiovascular diseases in the ECG signal with noises and different characteristics, computer-based R-peaks detection approaches have been actively developed in the research article for many years and generally compose of two major operations; preprocessing and decision. Contrary to previous approaches which require high computational costs and complexity, appropriate initial parameters, a novel CNN based approach is presented for R-peaks detection in this paper. Both qualitative and quantitative analysis are performed in the real ECG signal taken from typical MIT-BIH arrhythmia database. In order to validate the success of the recommended approach, total 18 different R-peaks detection approaches reported in the literature are compared by utilizing performance evaluation metrics. Average values of sensitivity, positive predictivity, error rate, accuracy and f-score are computed as 99,96%, 99,95%, 0,09%, 99,90% and 99,95% respectively, which are the best values among well-established studies for R-peaks detection. It is demonstrated with qualitative and quantitative results that better performance is achieved by our suggested approach. © 2023 IEEE
Quantification of tolerable parametric and dynamic uncertainty for robust mrac systems
No full textAdaptive controllers have been proposed in a number of applications characterized by large modelling uncertainties in the open loop system. Despite this attractive feature it is not always immediate to guarantee, by design, a predictable closed-loop transient. Indeed the characterization of the transient response of a closed loop adaptive control system is still a challenging problem from the verification and validation standpoint. This issue is particularly relevant in the presence of unmodelled dynamics, time delays, disturbances and unmatched uncertainties. In this paper it is proposed a practical mythology for the quantification of the tolerable parametric and dynamic uncertainty in systems controlled by a Model Reference Adaptive Controller (MRAC) in the case the parameters that characterize the parametric and the dynamic uncertain as long as the controller adaptation weights are assumed unknown but bounded within a defined box domain. Given these bounded uncertainties, the MRAC design is formalized as a H2 controller design to guarantee minimum H2 gain between the reference model states and the tracking error states. Exploiting a quadratic Lyapunov function a parameter dependent LMI condition is derived whose feasibility guarantees a specified input-output H2 gain. This LMI condition can be exploited to quantify the tolerable matched and dynamic uncertainty and to evaluate the corresponding input-output H2 gain. The proposed approach has been applied to the design of a MRAC controller and to evaluate the tolerable uncertainties of a benchmark cart-pole system
A safe learning model reference adaptive controller for uncertain aircrafts models
No full textIn this paper, it is presented an approach for the design of a feedback Model Reference Adaptive Controller (MRAC) for uncertain linear systems with guaranteed evolution of the closed-loop error trajectories within a computable robust invariant set. The estimation of the UUB region has been derived exploiting robust quadratic stability arguments assuming bounded uncertainty on the state and input matrix as long as amplitude constrained adaptive control. In the scheme, a linear output feedback controller is augmented with an amplitude bounded adaptive control to improve the performance in the presence of significant modeling uncertainties. The robust invariant set design was performed solving a constrained convex optimization problem. The method allows the analysis of the joint effect of the modeling uncertainties and the adaptive control amplitude on the size of the UUB region, thus allowing the design of a safe MRAC scheme. An additional benefit is that no specific parameter adaptation algorithm is required, as long as the adaptive control output is confined within the predefined limits. For enforcing this confinement, the mechanism of adaptive control redistribution is introduced. A detailed simulation study was performed using the short period longitudinal dynamics of an F16 model to show the design steps and to highlight the benefits of the methodology
Handwritten biographical information on Paulina T. McClung Merritt
No full textA handwritten biography of Paulina T. McClung Merritt by an unknown author, 1892.
Heterogeneous and tissue-specific regulation of effector T cell responses by IFN-gamma during Plasmodium berghei ANKA infection.
No full textIFN-γ and T cells are both required for the development of experimental cerebral malaria during Plasmodium berghei ANKA infection. Surprisingly, however, the role of IFN-γ in shaping the effector CD4(+) and CD8(+) T cell response during this infection has not been examined in detail. To address this, we have compared the effector T cell responses in wild-type and IFN-γ(-/-) mice during P. berghei ANKA infection. The expansion of splenic CD4(+) and CD8(+) T cells during P. berghei ANKA infection was unaffected by the absence of IFN-γ, but the contraction phase of the T cell response was significantly attenuated. Splenic T cell activation and effector function were essentially normal in IFN-γ(-/-) mice; however, the migration to, and accumulation of, effector CD4(+) and CD8(+) T cells in the lung, liver, and brain was altered in IFN-γ(-/-) mice. Interestingly, activation and accumulation of T cells in various nonlymphoid organs was differently affected by lack of IFN-γ, suggesting that IFN-γ influences T cell effector function to varying levels in different anatomical locations. Importantly, control of splenic T cell numbers during P. berghei ANKA infection depended on active IFN-γ-dependent environmental signals--leading to T cell apoptosis--rather than upon intrinsic alterations in T cell programming. To our knowledge, this is the first study to fully investigate the role of IFN-γ in modulating T cell function during P. berghei ANKA infection and reveals that IFN-γ is required for efficient contraction of the pool of activated T cells
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