Ricerc@Sapienza

This study evaluated the vector competence of Aedes albopictus in transmitting USUV after oral infection under laboratory conditions. Ae. albopictus showed a low vector competence for USUV, although the positive body sample found with a very high number of viral copies at one week post infection indicates that a replication in the mosquito body can occur, and that USUV can escape the midgut barrier. Field data from an extensive entomological arboviruses surveillance program showed a relevant incidence of Ae.

A growing body of research suggests that national injury surveillance data significantly underestimate the true number of non-fatal occupational injuries due to employee under-reporting of workplace accidents. Given the importance of accurately measuring such under-reporting, the purpose of the current research was to examine the psychometric properties of two different techniques used to operationalize accident under-reporting, one using a free recall methodology and the other a recognition-based approach.

The head pose is an important cue for computer vision. Traditionally considered in human computer interaction applications, it becomes very hard to model in surveillance scenarios, due to the tiny head size. Additionally, no public dataset contains continuous head pose annotations in open scenery, making the challenge even harder to face. Here we present a framework based on Faster RCNN, which introduces a branch in the network architecture related to the head pose estimation.

The potentialities of passive radar (PR) will be illustrated in this chapter with reference to the surveillance of areas of limited extent. Despite the exploitation of the PR principle in short range applications could appear as a simple task, it is shown that it brings a number of challenging issues that must be solved to benefit from its potential advantages. In addition the requirements on such sensors could be much more demanding to enable advanced capabilities.