University of Naples Federico II

About: University of Naples Federico II is a education organization based out in Naples, Campania, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29291 authors who have published 68803 publications receiving 1920149 citations. The organization is also known as: Università degli Studi di Napoli Federico II & Naples University.

US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

Abstract: This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.

Transverse-Momentum and Pseudorapidity Distributions of Charged Hadrons in pp Collisions at root s=7 TeV

Abstract: Charged-hadron transverse-momentum and pseudorapidity distributions in proton-proton collisions at root s = 7 TeV are measured with the inner tracking system of the CMS detector at the LHC. The charged-hadron yield is obtained by counting the number of reconstructed hits, hit pairs, and fully reconstructed charged-particle tracks. The combination of the three methods gives a charged-particle multiplicity per unit of pseudorapidity dN(ch)/d eta vertical bar(vertical bar eta vertical bar<0.5) = 5.78 +/- 0.01(stat) +/- 0.23(stat) for non-single-diffractive events, higher than predicted by commonly used models. The relative increase in charged-particle multiplicity from root s = 0.9 to 7 TeV is [66.1 +/- 1.0(stat) +/- 4.2(syst)]%. The mean transverse momentum is measured to be 0.545 +/- 0.005(stat) +/- 0.015(syst) GeV/c. The results are compared with similar measurements at lower energies.

Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo

Abstract: We present results on the mass, spin, and redshift distributions with phenomenological population models using the 10 binary black hole (BBH) mergers detected in the first and second observing runs completed by Advanced LIGO and Advanced Virgo. We constrain properties of the BBH mass spectrum using models with a range of parameterizations of the BBH mass and spin distributions. We find that the mass distribution of the more massive BH in such binaries is well approximated by models with no more than 1% of BHs more massive than 45 M and a power-law index of (90% credibility). We also show that BBHs are unlikely to be composed of BHs with large spins aligned to the orbital angular momentum. Modeling the evolution of the BBH merger rate with redshift, we show that it is flat or increasing with redshift with 93% probability. Marginalizing over uncertainties in the BBH population, we find robust estimates of the BBH merger rate density of R= (90% credibility). As the BBH catalog grows in future observing runs, we expect that uncertainties in the population model parameters will shrink, potentially providing insights into the formation of BHs via supernovae, binary interactions of massive stars, stellar cluster dynamics, and the formation history of BHs across cosmic time.

Expression of Epidermal Growth Factor Receptor Correlates with Disease Relapse and Progression to Androgen-independence in Human Prostate Cancer

Abstract: Purpose: The transforming growth factor α-epidermal growth factor receptor (EGFR) autocrine pathway has been implicated in prostate cancer cell growth. Amplification and/or overexpression of c-erbB-2, a receptor closely related to the EGFR, has been recently involved in prostate cancer progression. We investigated EGFR and c-erbB-2 expression in primary androgen-dependent and in advanced androgen-independent prostate cancer and their potential role as markers of disease progression. Experimental Design: EGFR and c-erbB-2 expression were evaluated by immunohistochemistry in a consecutive series of 74 prostate cancer patients with the following characteristics: 29 patients (group 1) treated with radical prostatectomy; 29 patients (group 2) treated with luteinizing hormone-releasing hormone analogues and antiandrogen therapy followed by radical prostatectomy; and 16 patients with hormone-refractory metastatic disease. In all patients we evaluated: association between EGFR and/or c-erbB-2 expression and clinicopathological parameters; and disease-free survival according to EGFR and c-erbB-2 expression in univariate analysis (Kaplan-Meier product-limit method) and in multivariate analysis (Cox proportional hazards regression model). Results: EGFR expression was found in 12 of 29 (41.4%) group 1 patients, in 22 of 29 (75.9%) group 2 patients (P Conclusions: EGFR expression increases during the natural history of prostate cancer. Correlation with disease progression and hormone-refractory disease suggests that EGFR-targeted drugs could be of therapeutic relevance in prostate cancer.