The silicon pixel detector (SPD) of the ALICE experiment in preparation at the Large Hadron Collider (LHC) at CERN is designed to provide the precise vertex reconstruction needed for measuring heavy flavor production in heavy ion collisions at very high energies and high multiplicity. The SPD forms the innermost part of the Inner Tracking System (ITS) which also includes silicon drift and silic...

The triply heavy baryons have a rather diverse mass range. While some of them possess considerable production rates at existing facilities, others need to be produced at future high energy colliders. Here we study the direct fragmentation production of the Ωccc and Ωbbb baryons as the prototypes of triply heavy baryons at the hadron colliders with different √ s. We present and compare the trans...

We present the contributions from all types of one-loop corrections to the scattering amplitude for the pair production of polarized charginos or neutralinos from polarized electron-positron annihilation. The contributions are classified in terms of “prototypes” distinguished by the number of particles inside the loops and their spins. The results are quoted in terms of the Veltman-Passarino fu...

The engineering of ubiquitous computing systems provides important challenges. Not least among these is the need to understand how to implement designs that create a required experience for users. The paper explores a particular class of such systems for built environments. In particular it is concerned with the capture of experience requirements and production of prototypes that create experie...

Three studies explored relationships between prototypicahty and the structure of sentences in recall, preference ratings, and natural dictionary definitions. The first experiment showed that sentences were systematically changed in retail to allow prototypical instances of categories to be mentioned before nonprototypical instances. In the second experiment, sentences in which the prototype pre...

The traditional k-prototypes algorithm is well versed in clustering data with mixed numeric and categorical attributes, while it is limited to complete data. In order to handle incomplete data set with missing values, an improved k-prototypes algorithm is proposed in this paper, which employs a new dissimilarity measure for incomplete data set with mixed numeric and categorical attributes and a...