A critical review of the Mediterranean sea turtle rescue network: a web looking for a weaver

A key issue in conservation biology is recognizing and bridging the gap between scientific results and specific action. We examine sea turtles—charismatic yet endangered flagship species—in the Mediterranean, a sea with historically high levels of exploitation and 22 coastal nations. We take sea turtle rescue facilities as a visible measure for implemented conservation action. Our study yielded 34 confirmed sea turtle rescue centers, 8 first-aid stations, and 7 informal rescue institutions currently in operation. Juxtaposing these facilities to known sea turtle distribution and threat hotspots reveals a clear disconnect. Only 14 of the 22 coastal countries had centers, with clear gaps in the Middle East and Africa. Moreover, the information flow between centers is apparently limited. The populations of the two species nesting in the Mediterranean, the loggerhead Caretta caretta and the green turtle Chelonia mydas, are far below historical levels and face a range of anthropogenic threats at sea and on land. Sea turtle rescue centers are acknowledged to reduce mortality in bycatch hotspots, provide a wealth of scientific data, and raise public awareness. The proposal for a Mediterranean-wide rescue network as published by the Regional Activity Centre for Specially Protected Areas a decade ago has not materialized in its envisioned scope. We discuss the efficiency, gaps, and needs for a rescue network and call for establishing additional rescue centers and an accompanying common online database to connect existing centers. This would provide better information on the number and types of rescue facilities on a Mediterranean scale, improve communication between these facilities, enhance standardization of procedures, yield large-scale data on the number of treated turtles and their injuries, and thus provide valuable input for targeted conservation measures

Product recognition in store shelves as a sub-graph isomorphism problem

The arrangement of products in store shelves is carefully planned to maximize sales and keep customers happy. However, verifying compliance of real shelves to the ideal layout is a costly task routinely performed by the store personnel. In this paper, we propose a computer vision pipeline to recognize products on shelves and verify compliance to the planned layout. We deploy local invariant features together with a novel formulation of the product recognition problem as a sub-graph isomorphism between the items appearing in the given image and the ideal layout. This allows for auto-localizing the given image within the aisle or store and improving recognition dramatically.Comment: Slightly extended version of the paper accepted at ICIAP 2017. More information @project_page --> http://vision.disi.unibo.it/index.php?option=com_content&view=article&id=111&catid=7

The impact of corporate philanthropy on reputation for corporate social performance

This study seeks to examine the mechanisms by which a corporation’s use of philanthropy affects its reputation for corporate social performance (CSP), which the authors conceive of as consisting of two dimensions: CSP awareness and CSP perception. Using signal detection theory (SDT), the authors model signal amplitude (the amount contributed), dispersion (number of areas supported), and consistency (presence of a corporate foundation) on CSP awareness and perception. Overall, this study finds that characteristics of firms' portfolio of philanthropic activities are a greater predictor of CSP awareness than of CSP perception. Awareness increases with signal amplitude, dispersion, and consistency. CSP perception is driven by awareness and corporate reputation. The authors’ contention that corporate philanthropy is a complex variable is upheld, as we find that CSP signal characteristics influence CSP awareness and perception independently and asymmetrically. The authors conclude by proposing avenues for future research

The 63^{63}Ni(n,γ\gamma) cross section measured with DANCE

The neutron capture cross section of the s-process branch nucleus $^{63}$Ni affects the abundances of other nuclei in its region, especially $^{63}$Cu and $^{64}$Zn. In order to determine the energy dependent neutron capture cross section in the astrophysical energy region, an experiment at the Los Alamos National Laboratory has been performed using the calorimetric 4$\pi$ BaF$_2$ array DANCE. The (n,$\gamma$) cross section of $^{63}$Ni has been determined relative to the well known $^{197}$Au standard with uncertainties below 15%. Various $^{63}$Ni resonances have been identified based on the Q-value. Furthermore, the s-process sensitivity of the new values was analyzed with the new network calculation tool NETZ.Comment: 11 pages, 13 page