Ricerc@Sapienza

Natural killer cells are an essential component of the innate immune system and play a crucial role in immunity against malignancies, without, at difference with T cells, requiring antigen priming or inducing graft-versus-host-disease. Hence, Natural Killer cells can provide a valuable source of allogeneic “off-the-shelf” adoptive therapy and mediate major antileukemia effects, without inducing potentially lethal alloreactivity. Several cell sources have been used for producing and expanding large numbers of clinical-grade natural killer cells.

Natural killer cells are an essential component of the innate immune system and play a crucial role in immunity against malignancies, without, at difference with T cells, requiring antigen priming or inducing graft-versus-host-disease. Hence, Natural Killer cells can provide a valuable source of allogeneic “off-the-shelf” adoptive therapy and mediate major antileukemia effects, without inducing potentially lethal alloreactivity. Several cell sources have been used for producing and expanding large numbers of clinical-grade natural killer cells.

We describe the rationale, the design and development of an iOS framework to enhance the end user experience of car-related apps. The car framework fuses the smartphone sensors' raw data to detect user behaviour and car events, and provides relevant and timely information that an app can use to relief the user from manually inputting data and to foster implicit interaction. Thus, app developers can focus on user needs and UX rather than on code complexity. We show how detected events map common needs of car-related apps.

When hierarchically modelling an epidemiological phenomenon on a finite collection of sites in space, one must always take a latent spatial effect into account in order to capture the correlation structure that links the phenomenon to the territory. In this work, we compare two autoregressive spatial models that can be used for this purpose: the classical CAR model and the more recent DAGAR model.