A description of n-ary semigroups polynomial-derived from integral domains

We provide a complete classification of the n-ary semigroup structures defined by polynomial functions over infinite commutative integral domains with identity, thus generalizing G{\l}azek and Gleichgewicht's classification of the corresponding ternary semigroups

Solid weak BCC-algebras

We characterize weak BCC-algebras in which the identity $(xy)z=(xz)y$ is satisfied only in the case when elements $x,y$ belong to the same branch

Properties of Bipolar Fuzzy Hypergraphs

In this article, we apply the concept of bipolar fuzzy sets to hypergraphs and investigate some properties of bipolar fuzzy hypergraphs. We introduce the notion of $A-$ tempered bipolar fuzzy hypergraphs and present some of their properties. We also present application examples of bipolar fuzzy hypergraphs

Globalization's challenge to pension reform in Western Europe

The following suggests that demographic changes and the creation of a single currency in Europe has compelled greater EU intervention in pension reform. Although, traditionally pension reform has remained the domain of the domestic realm, increased European integration has necessitated lifting the issue of pension reform to the EU level. Capital flows among Eu member states, the economic dependence among members of EMU and the unique institutional structure of the EU has facilitated increased attention at the EU level regarding pension reform. Politically, the EU presents a unique condition since national governments can use Brussels as a scapegoat to implement contested policies such as pension reform and accountability at the EU level is distinct from democratic configurations within member states also facilitating change within a highly contested policy area. Economically, the almost complete economic integration after the introduction of the Euro, means that countries are ever more dependent on policy choices in other Member States: no lOnger are countries able to keep all the benefits of prefunding, like increased investment, within their own borders. This study concludes that both the political and economic importance of the EU and its uniqueness may lead to an important role of Brussels in the context of pension reform.

Squeezed correlations of strange particle-antiparticles

Squeezed correlations of hadron-antihadron pairs are predicted to appear if their masses are modified in the hot and dense medium formed in high energy heavy ion collisions. If discovered experimentally, they would be an unequivocal evidence of in-medium mass shift found by means of hadronic probes. We discuss a method proposed to search for this novel type of correlation, illustrating it by means of D_s-mesons with in-medium shifted masses. These particles are expected to be more easily detected and identified in future upgrades at RHIC.Comment: 6 pages, 3 figures with parts a) and b), SQM 2009 contribution; added acknowledgmen

ESTIMATING THE BENEFITS OF REGIONALIZING EMERGENCY MEDICAL SERVICE PROVISION

Local area governments have experienced increasingly stringent budget constraints in recent years. Innovations in service delivery provide one avenue for increasing the effectiveness of resource allocations. This paper explores the potential savings available from regionalizing emergency medical service provision. A mixed integer programming model incorporating peak demand considerations is used to minimize service cost given a desired maximum response time. Changes in the weighted average response time measure the quality degradation required to attain the savings from cooperative provision. The results indicate that the benefits are substantial but that distribution of these gains is a possible barrier to implementation.Health Economics and Policy, Public Economics,

Phytoplankton Hotspot Prediction With an Unsupervised Spatial Community Model

Many interesting natural phenomena are sparsely distributed and discrete. Locating the hotspots of such sparsely distributed phenomena is often difficult because their density gradient is likely to be very noisy. We present a novel approach to this search problem, where we model the co-occurrence relations between a robot's observations with a Bayesian nonparametric topic model. This approach makes it possible to produce a robust estimate of the spatial distribution of the target, even in the absence of direct target observations. We apply the proposed approach to the problem of finding the spatial locations of the hotspots of a specific phytoplankton taxon in the ocean. We use classified image data from Imaging FlowCytobot (IFCB), which automatically measures individual microscopic cells and colonies of cells. Given these individual taxon-specific observations, we learn a phytoplankton community model that characterizes the co-occurrence relations between taxa. We present experiments with simulated robot missions drawn from real observation data collected during a research cruise traversing the US Atlantic coast. Our results show that the proposed approach outperforms nearest neighbor and k-means based methods for predicting the spatial distribution of hotspots from in-situ observations.Comment: To appear in ICRA 2017, Singapor