EVOLUZIONE DELLA LAGUNA DI TONNARELLA (MAZARA DEL VALLO, TRAPANI) E SUO ATTUALE VALORE ORNITOLOGICO

Temporal changing of Tonnarella lagoon (Mazara del Vallo, Trapani) and its current ornithological value. Aims of this work were to highlight the importance of a small and artificial recently formed wetland area, that presents different interesting ornithological peculiarities. The Tonnarella lagoon is a breeding site of Little Tern Sternula albifrons and Kentish Plover Charadrius alexandrinus, both classified as “endangered” species in 2011 by the Red List of breeding birds in Italy; the site is considered of “national importance“ for Kentish Plover and “recorded site“ for the Sandwich Tern Sterna sandvicensis, due to the consistency of its wintering populations. Besides, the ornithological importance of this zone increases by the presence of migrating species included in the “Birds” 79/409/CEE Directive and in the Bern, Bonn and Washington international conventions; their status is considered at risk in the near future, according to the most recent estimates in Europe. The value of this area has been also highlighted by the method of evaluation H.A.T., both for breeding and wintering species. Nevertheless, Tonnarella lagoon is at risk of disappearing, because of the competent Authority choices to use it as storage for the dredging of sludge extracted from the harbour of Mazara del Vallo

Baseline design of the filters for the LAD detector on board LOFT

The Large Observatory for X-ray Timing (LOFT) was one of the M3 missions selected for the phase A study in the ESA's Cosmic Vision program. LOFT is designed to perform high-time-resolution X-ray observations of black holes and neutron stars. The main instrument on the LOFT payload is the Large Area Detector (LAD), a collimated experiment with a nominal effective area of ~10 m 2 @ 8 keV, and a spectral resolution of ~240 eV in the energy band 2-30 keV. These performances are achieved covering a large collecting area with more than 2000 large-area Silicon Drift Detectors (SDDs) each one coupled to a collimator based on lead-glass micro-channel plates. In order to reduce the thermal load onto the detectors, which are open to Sky, and to protect them from out of band radiation, optical-thermal filter will be mounted in front of the SDDs. Different options have been considered for the LAD filters for best compromise between high quantum efficiency and high mechanical robustness. We present the baseline design of the optical-thermal filters, show the nominal performances, and present preliminary test results performed during the phase A study.Comment: Proc. SPIE 9144, Space Telescopes and Instrumentation 2014: Ultraviolet to Gamma Ray, 91446

Promoting Physical Activity in Low Income African Americans: Project LAPS

Low income African Americans are at increased risk for physical inactivity and related chronic illnesses. Thus, effective interventions are needed to address these health disparities. The current study examined the efficacy of a home-based physical activity intervention among a low income African American sample with high rates of chronic illnesses (obesity, hypertension, diabetes, high cholesterol). Participants (n=214) were randomly assigned to either the home-based physical activity intervention (self-help print materials, five monthly newsletters, two telephone counseling sessions) or an attention control condition, which promoted healthy diet. Results indicated that the intervention did not produce significantly greater increases in physical activity from baseline to six months than the control group. Lessons learned from the current study include the importance of using proactive retention strategies with low income African American participants and taking into consideration the cultural relevance of the intervention

Social welfare in one-sided matchings: Random priority and beyond

We study the problem of approximate social welfare maximization (without money) in one-sided matching problems when agents have unrestricted cardinal preferences over a finite set of items. Random priority is a very well-known truthful-in-expectation mechanism for the problem. We prove that the approximation ratio of random priority is Theta(n^{-1/2}) while no truthful-in-expectation mechanism can achieve an approximation ratio better than O(n^{-1/2}), where n is the number of agents and items. Furthermore, we prove that the approximation ratio of all ordinal (not necessarily truthful-in-expectation) mechanisms is upper bounded by O(n^{-1/2}), indicating that random priority is asymptotically the best truthful-in-expectation mechanism and the best ordinal mechanism for the problem.Comment: 13 page