6 research outputs found

    Topology Reconstruction of Dynamical Networks via Constrained Lyapunov Equations

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    The network structure (or topology) of a dynamical network is often unavailable or uncertain. Hence, we consider the problem of network reconstruction. Network reconstruction aims at inferring the topology of a dynamical network using measurements obtained from the network. In this technical note we define the notion of solvability of the network reconstruction problem. Subsequently, we provide necessary and sufficient conditions under which the network reconstruction problem is solvable. Finally, using constrained Lyapunov equations, we establish novel network reconstruction algorithms, applicable to general dynamical networks. We also provide specialized algorithms for specific network dynamics, such as the well-known consensus and adjacency dynamics.Comment: 8 page

    Contemporary global challenges in geopolitics, security policy and world economy

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    This is the second time that the International PhD Conference has been organized by the International Relations Multidisciplinary Doctoral School of Corvinus University of Budapest. We hope this is a sign that we have created a tradition, and that the conference will be organized in the future as well. As in the previous year, most of the presentations given at this year’s conference will again be published in a collected volume in the form of edited studies, with the aim of promoting the publication performance of PhD students.The comprehensive profile of the Doctoral School, the diversity of its three subprograms – International and Security Studies, World Economy and Geopolitics – is reflected in the various topics of the studies in this volume. These include e.g. security and defence policy, challenges the world economy is facing nowadays, the institutions and policies of the European Union, the emerging powers of Asia, as well as sustainability and other important, highly relevant issues. The regions examined in the studies range from the EU through the Arab world to Latin America and Asia, and countries such as the United States, Russia, Ukraine, China, India, Jordan and Tunisia are analysed, to name just a few.The multidisciplinary nature of the Doctoral School has long been expressed in its name, mainly due to the fact that it is entitled to award degrees in two disciplines (economics and political science). Multidisciplinarity is also manifested in the diversity of the topics of this volume. Not only multidisciplinarity, but also interdisciplinarity, the presence of “frontiers” in the field of mutually interdependent disciplines can be traced in the articles, as the authors refer to e.g. law, history, security policy as well as theories of international relations

    Ultrasensitive detection of toxocara canis excretory-secretory antigens by a nanobody electrochemical magnetosensor assay.

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    peer reviewedHuman Toxocariasis (HT) is a zoonotic disease caused by the migration of the larval stage of the roundworm Toxocara canis in the human host. Despite of being the most cosmopolitan helminthiasis worldwide, its diagnosis is elusive. Currently, the detection of specific immunoglobulins IgG against the Toxocara Excretory-Secretory Antigens (TES), combined with clinical and epidemiological criteria is the only strategy to diagnose HT. Cross-reactivity with other parasites and the inability to distinguish between past and active infections are the main limitations of this approach. Here, we present a sensitive and specific novel strategy to detect and quantify TES, aiming to identify active cases of HT. High specificity is achieved by making use of nanobodies (Nbs), recombinant single variable domain antibodies obtained from camelids, that due to their small molecular size (15kDa) can recognize hidden epitopes not accessible to conventional antibodies. High sensitivity is attained by the design of an electrochemical magnetosensor with an amperometric readout with all components of the assay mixed in one single step. Through this strategy, 10-fold higher sensitivity than a conventional sandwich ELISA was achieved. The assay reached a limit of detection of 2 and15 pg/ml in PBST20 0.05% or serum, spiked with TES, respectively. These limits of detection are sufficient to detect clinically relevant toxocaral infections. Furthermore, our nanobodies showed no cross-reactivity with antigens from Ascaris lumbricoides or Ascaris suum. This is to our knowledge, the most sensitive method to detect and quantify TES so far, and has great potential to significantly improve diagnosis of HT. Moreover, the characteristics of our electrochemical assay are promising for the development of point of care diagnostic systems using nanobodies as a versatile and innovative alternative to antibodies. The next step will be the validation of the assay in clinical and epidemiological contexts
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