1,527 research outputs found
The H-Covariant Strong Picard Groupoid
The notion of H-covariant strong Morita equivalence is introduced for
*-algebras over C = R(i) with an ordered ring R which are equipped with a
*-action of a Hopf *-algebra H. This defines a corresponding H-covariant strong
Picard groupoid which encodes the entire Morita theory. Dropping the positivity
conditions one obtains H-covariant *-Morita equivalence with its H-covariant
*-Picard groupoid. We discuss various groupoid morphisms between the
corresponding notions of the Picard groupoids. Moreover, we realize several
Morita invariants in this context as arising from actions of the H-covariant
strong Picard groupoid. Crossed products and their Morita theory are
investigated using a groupoid morphism from the H-covariant strong Picard
groupoid into the strong Picard groupoid of the crossed products.Comment: LaTeX 2e, 50 pages. Revised version with additional examples and
references. To appear in JPA
Molecular Interactions. On the Ambiguity of Ordinary Statements in Biomedical Literature
Statements about the behavior of biochemical entities (e.g., about the interaction between two proteins) abound in the
literature on molecular biology and are increasingly becoming the targets of information extraction and text mining techniques.
We show that an accurate analysis of the semantics of such statements reveals a number of ambiguities that have to be taken
into account in the practice of biomedical ontology engineering: Such statements can not only be understood as event reporting
statements, but also as ascriptions of dispositions or tendencies that may or may not refer to collectives of interacting molecules
or even to collectives of interaction events
Financial Inclusion and Financial Stability: Current Policy Issues
The recent financial crisis has shown that financial innovation can have devastating systemic impacts. International standard setters’ and national regulators’ response has been a global concerted effort to overhaul and tighten financial regulations. However, at a time of designing stricter regulations, it is crucial to avoid a backlash against financial inclusion. In this chapter, we argue that greater financial inclusion presents opportunities to enhance financial stability. Our arguments are based on the following insights: - Financial inclusion poses risks at the institutional level, but these are hardly systemic in nature. Evidence suggests that low-income savers and borrowers tend to maintain solid financial behavior throughout financial crises, keeping deposits in a safe place and paying back their loans. - Institutional risk profiles at the bottom end of the financial market are characterized by large numbers of vulnerable clients who own limited balances and transact small volumes. Although this profile may raise some concerns regarding reputational risks for the central bank and consumer protection, in terms of financial instability, the risk posed by inclusive policies is negligible. - In addition, risks prevalent at the institutional level are manageable with known prudential tools and more effective customer protection. - The potential costs of financial inclusion are compensated for by important dynamic benefits that enhance financial stability over time through a deeper and more diversified financial system. In the following pages, we present the current state of financial inclusion globally. We also explore some trends in financial inclusion and what the most effective policies are to favor it. In doing so, we suggest that innovations aimed at countering financial exclusion may help strengthen financial systems rather than weakening them.financial inclusion; financial stability; costs and benefits; current policy issues
The “treatment gap” in global mental health reconsidered: sociotherapy for collective trauma in Rwanda
Background: The “treatment gap” (TG) for mental disorders refers to the difference that exists between the number of people who need care and those who receive care. The concept is strongly promoted by the World Health Organization and widely used in the context of low- and middle-income countries. Although accepting the many demonstrable benefits that flow from this approach, it is important to critically reflect on the limitations of the concept of the TG and its implications for building capacity for mental health services in Rwanda.
Objective: The article highlights concerns that the evidence base for mental health interventions is not globally valid, and problematizes the preponderance of psychiatric approaches in international guidelines for mental health. Specifically, the risk of medicalization of social problems and the limited way in which “community” has been conceptualized in global mental health discourses are addressed. Rather than being used as a method for increasing economic efficiency (i.e., reducing healthcare costs), “community” should be promoted as a means of harnessing collective strengths and resources to help promote mental well-being. This may be particularly beneficial for contexts, like Rwanda, where community life has been disrupted by collective violence, and the resulting social isolation constitutes an important determinant of mental distress.
Conclusions: Moving forward there is a need to consider alternative paradigms where individual distress is understood as a symptom of social distress, which extends beyond the more individually oriented TG paradigm. Sociotherapy, an intervention used in Rwanda over the past 10 years, is presented as an example of how communities of support can be built to promote mental health and psychosocial well-being
Cross-Composition: A New Technique for Kernelization Lower Bounds
We introduce a new technique for proving kernelization lower bounds, called
cross-composition. A classical problem L cross-composes into a parameterized
problem Q if an instance of Q with polynomially bounded parameter value can
express the logical OR of a sequence of instances of L. Building on work by
Bodlaender et al. (ICALP 2008) and using a result by Fortnow and Santhanam
(STOC 2008) we show that if an NP-complete problem cross-composes into a
parameterized problem Q then Q does not admit a polynomial kernel unless the
polynomial hierarchy collapses. Our technique generalizes and strengthens the
recent techniques of using OR-composition algorithms and of transferring the
lower bounds via polynomial parameter transformations. We show its
applicability by proving kernelization lower bounds for a number of important
graphs problems with structural (non-standard) parameterizations, e.g.,
Chromatic Number, Clique, and Weighted Feedback Vertex Set do not admit
polynomial kernels with respect to the vertex cover number of the input graphs
unless the polynomial hierarchy collapses, contrasting the fact that these
problems are trivially fixed-parameter tractable for this parameter. We have
similar lower bounds for Feedback Vertex Set.Comment: Updated information based on final version submitted to STACS 201
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