University of Sannio

About: University of Sannio is a education organization based out in Benevento, Italy. It is known for research contribution in the topics: Gravitational wave & LIGO. The organization has 1278 authors who have published 6125 publications receiving 167577 citations. The organization is also known as: Università degli Studi del Sannio & Universita degli Studi del Sannio.

Search for gravitational waves associated with the August 2006 timing glitch of the Vela pulsar

Abstract: The physical mechanisms responsible for pulsar timing glitches are thought to excite quasinormal mode oscillations in their parent neutron star that couple to gravitational-wave emission. In August 2006, a timing glitch was observed in the radio emission of PSR B0833-45, the Vela pulsar. At the time of the glitch, the two colocated Hanford gravitational-wave detectors of the Laser Interferometer Gravitational wave observatory (LIGO) were operational and taking data as part of the fifth LIGO science run (S5). We present the first direct search for the gravitational-wave emission associated with oscillations of the fundamental quadrupole mode excited by a pulsar timing glitch. No gravitational-wave detection candidate was found. We place Bayesian 90% confidence upper limits of 6.3 x 10^(-21) to 1.4 x 10^(-20) on the peak intrinsic strain amplitude of gravitational-wave ring-down signals, depending on which spherical harmonic mode is excited. The corresponding range of energy upper limits is 5.0 x 10^(-44) to 1.3 x 10^(-45) erg.

Developing a trust model for pervasive computing based on Apriori association rules learning and Bayesian classification

Abstract: Pervasive computing is one of the latest and more advanced paradigms currently available in the computers arena. Its ability to provide the distribution of computational services within environments where people live, work or socialize leads to make issues such as privacy, trust and identity more challenging compared to traditional computing environments. In this work, we review these general issues and propose a pervasive computing architecture based on a simple but effective trust model that is better able to cope with them. The proposed architecture combines some artificial intelligence techniques to achieve close resemblance with human-like decision making. Accordingly, Apriori algorithm is first used in order to extract the behavioral patterns adopted from the users during their network interactions. Naive Bayes classifier is then used for final decision making expressed in term of probability of user trustworthiness. To validate our approach, we applied it to some typical ubiquitous computing scenarios. The obtained results demonstrated the usefulness of such approach and the competitiveness against other existing ones.

Understanding the immunoangiostatic CXC chemokine network.

Abstract: Chemokines, originally discovered as mediators of directional migration of immune cells to sites of inflammation and injury, have a function beyond their role in leukocyte chemotaxis. Indeed, they participate in organ development, angiogenesis, tumourigenesis and, more importantly, in the immune response. The chemokine family characterized by four highly conserved cysteine amino acid residues, with two cysteine residues (C) and a non-cysteine amino acid (X) between them (CXC), is known for its ability to promote trafficking of various leukocytes and to regulate angiogenesis and vascular remodelling. Intriguingly, the presence or absence of a structural-functional domain constituted by glutamic acid-leucine-arginine motif that precedes the first cysteine amino acid residue accounts for their unique property to induce or inhibit angiogenesis (angiogenic or angiostatic activity). The ability of CXC chemokine receptor 3 to promote Th1-dependent immunity and, at the same time, inhibit angiogenesis (immunoangiostasis) is of critical importance for inducing tumour regression. Agents that are able to inhibit angiogenic activities or promote angiostatic activities of CXC chemokines are future targets for research on cancer treatment. Here, we review insights on CXC chemokines in the context of immunoangiostasis and vascular damage.

Denaturing action of urea and guanidine hydrochloride towards two thermophilic esterases.

Abstract: The stability of two thermophilic esterases, AFEST from Archaeoglobus fulgidus and EST2 from Alicyclobacillus acidocaldarius, against the denaturing action of urea and guanidine hydrochloride has been investigated by means of steady-state fluorescence and circular dichroism measurements. Experimental results indicate that the two enzymes, even though very resistant to temperature and urea, show a resistance to guanidine hydrochloride weaker than expected on the basis of data collected so far for a large set of globular proteins. Structural information