12,986 research outputs found

    Advances in Neural Information Processing Paradigms

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    This chapter provides an introduction and motivates the leading thread of the following ten chapters that were collected to present some of the most recent advances in neural processing models, concerning both the analysis of theoretical properties of novel neural architectures and the illustration of some real–world applications. Not pretending to be exhaustive, this chapter and the whole book delineate an evolving picture of connectionism, in which neural information systems are moving towards approaches that try to exploit the symbolic information available mostly as relations among the data and to specialize themselves, sometimes based on biological inspiration, to cope with difficult applications

    Triple Diagnosis of Attention-Deficit/Hyperactivity Disorder with Coexisting Bipolar and Alcohol Use Disorders: Clinical Aspects and Pharmacological Treatments

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    Attention-Deficit/Hyperactivity Disorder (ADHD), Bipolar Disorder (BD) and Alcohol Use Disorder (AUD) are common medical conditions often coexisting and exerting mutual influence on disease course and pharmacological treatment response. Each disorder, when considered separately, relies on different therapeutic approaches, making it crucial to detect the plausible association between them. Treating solely the emerging condition (e.g., alcoholism) and disregarding the patient's whole psychopathological ground often leads to treatment failure and relapse. Clinical experience and scientific evidence rather show that tailoring treatments for these three conditions considering their co-occurrence as a sole complex disorder yields more fulfilling and durable clinical outcomes. In light of the above considerations, the purpose of the present review is to critically discuss the pharmacological strategies in the personalized treatment of complex conditions defined by ADHD-bipolarityalcoholism coexistence

    Experimental strategies for studying g protein-coupled receptor homo- and heteromerization with radioligand binding and signal transduction methods

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    Before the molecular biology era, functional experiments on isolated organs and radioligand binding and biochemical experiments on animal tissues were widely used to characterize G protein-coupled receptors (GPCRs). The introduction of recombinant cell lines expressing a single GPCR type has been a big step forward for studying both drug receptor interactions and signal transduction. Before the introduction of the con- cept of receptor oligomerization, all data generated were attributed to the interaction of drugs with receptor monomers. Now, considerable data must be reinterpreted in light of receptor homo- and heteromerization. In this chapter, we will review some of the methods used to study radioligand binding and signal transduction modifications induced by GPCR homo- and heteromerizatio

    A Driving Right Leg Circuit (DgRL) for Improved Common Mode Rejection in Bio-Potential Acquisition Systems

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    The paper presents a novel Driving Right Leg (DgRL) circuit designed to mitigate the effect of common mode signals deriving, say, from power line interferences. The DgRL drives the isolated ground of the instrumentation towards a voltage which is fixed with respect to the common mode potential on the subject, therefore minimizing common mode voltage at the input of the front-end. The paper provides an analytical derivation of the common mode rejection performances of DgRL as compared to the usual grounding circuit or Driven Right Leg (DRL) loop. DgRL is integrated in a bio-potential acquisition system to show how it can reduce the common mode signal of more than 70 dB with respect to standard patient grounding. This value is at least 30 dB higher than the reduction achievable with DRL, making DgRL suitable for single-ended front-ends, like those based on active electrodes. EEG signal acquisition is performed to show how the system can successfully cancel power line interference without any need for differential acquisition, signal post-processing or filtering

    Inside PageRank

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    Although the interest of a Web page is strictly related to its content and to the subjective readers’ cultural background, a measure of the page authority can be provided that only depends on the topological structure of theWeb. PageRank is a noticeable way to attach a score toWeb pages on the basis of the Web connectivity. In this article, we look inside PageRank to disclose its fundamental properties concerning stability, complexity of computational scheme, and critical role of parameters involved in the computation. Moreover, we introduce a circuit analysis that allows us to understand the distribution of the page score, the way different Web communities interact each other, the role of dangling pages (pages with no outlinks), and the secrets for promotion of Web pages
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