The Second University of Naples is a university located in Caserta, Naples and other cities of the province of Caserta. .It was founded in 1991 and is organized into departments and Specialist Schools.The registered office is located in the city of Caserta.Despite having Naples in its name and some facilities in that city, it mainly developed in the territory of the province of Caserta particularly, including Caserta itself, Aversa, Capua, Marcianise, Santa Maria Capua Vetere. The law of institution, of 1989, qualified this area as "metropolitan district of Naples".The most ancient school, the one of Medicine and surgery, is located in Naples, where is situated the historical seat of the rector. Wikipedia.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: Fission-2012-3.1.1 | Award Amount: 8.60M | Year: 2012
The magnitude of cancer risk in humans exposed to low radiation doses (<100mSv) is uncertain and depends upon extrapolation of human population based estimates obtained at higher doses. The linear non-threshold extrapolation model currently used has some support from mechanistic/biophysical considerations but it is not based on understanding of the biological responses of the cells of origin for radiation cancer. Stem cells are widely recognised as the cells of origin for many cancers. Understanding the responses of stem cells to low radiation doses will be important therefore in providing mechanistic support for low dose cancer risk extrapolation. In this project, techniques emerging from stem cell biological and tissue kinetics research will be used to address several major areas of uncertainty in low dose (<100 mGy) cancer risk estimates: 1. The identification and enumeration of stem/progenitor cells at risk 2. Understanding low dose radio-sensitivity of stem cells and tissues. 3. Improving understanding of mechanisms of age-dependant cancer risk 4. Improving understanding of tissue specific differences in cancer risk. 5. Identification of key events and individual susceptibility factors associated with cancer development. The primary output of the RISK-IR project will be peer reviewed scientific papers. Considerable efforts will be made to consolidate scientific evidence of relevance for radiation protection through reviews and dissemination of project results and implications to radiation protection specialists will be facilitated through a stakeholder meeting in the final year of the project.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.6.4 | Award Amount: 4.27M | Year: 2013
When considering renewable energy sources, like solar electricity, people often do not directly see the benefit of their investment. While the sun is shining and might be producing electricity in their homes, they are at their work and cannot use that energy directly, while when they need the energy at night (for laundry, lighting, computers) the solar panel is no longer producing. Indeed, research has shown that while in theory houses can be self-reliant on solar panels by the amount of electricity they produce, it would require considerable (and expensive) storage capacity to realize this.With smart management and control systems, different types of buildings (for instance a mix of houses, companies and schools) could be connected in such a way that this neighbourhood would use more, or even most, of its renewable energy within the community. For example, if one neighbour does not use her electric car one day, its battery can be used to store excess energy produced from the solar panels on another neighbours roof.The CoSSMic project aims to develop the ICT tools needed to facilitate this sharing of renewable energy within a neighbourhood, and will show the feasibility of its concept in two different areas: Konstanz in Germany and the Province of Caserta in Italy. At these trial locations, which are rather different in terms of population, sun, andavailable equipment, CoSSMic will investigate how to motivate people to participate in acquiring (more) renewable energy and the sharing of renewable energy in the neighbourhood, and test methods for making money with these schemes.
Chieffi S.,The Second University of Naples
Experimental Brain Research | Year: 2016
It is generally accepted that visual illusions affect line bisection in the predicted direction. However, it has been reported an illusionary bias which seems questioning such general view. In a previous study, participants bisected lines flanked at both ends by two pairs of arrows, pointing in the same direction. The medialmost vertices of one pair converged on the line (converging arrows), whereas those of the other pair did not (non-converging arrows). Participants bisected lines toward the base of the arrows, i.e., toward the wider end of the stimulus and in the direction opposite to that predicted by the Baldwin illusion. However, the bisection bias was also directed away from the location of the converging arrows. We investigated what is the main factor affecting line bisection: arrows orientation, as previously suggested, or interference effects related to the location of converging arrows. In experiment 1, participants bisected lines flanked by converging versus non-converging arrows. Results confirmed the presence of a bisection bias directed not only toward the base of the converging arrows but also away from their location. In experiment 2, the arrows were located more internally, so that their medialmost vertices always converged on the line. Results showed that the bisection bias was directed away from the location of the arrows regardless of their orientation. It is suggested that the previously reported bisection bias did not depend on arrows orientation, but rather on interference effects related to converging arrows position. The theoretical implications of the results are discussed. © 2016, Springer-Verlag Berlin Heidelberg.
Agency: European Commission | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2012-AIPP1 | Award Amount: 81.51M | Year: 2013
CRYSTAL aims at fostering Europes leading edge position in embedded systems engineering in particular regarding quality and cost effectiveness of safety-critical embedded systems and architecture platforms. Its overall goal is to enable sustainable paths to speed up the maturation, integration, and cross-sectoral reusability of technological and methodological bricks of the factories for safety-critical embedded systems engineering in the areas of transportation (aerospace, automotive, and rail) and healthcare providing a critical mass of European technology providers. CRYSTAL perfectly fits to other ARTEMIS projects, sharing the concept of a reference technology platform (RTP) as a consistent set of integration principles and seamless technology interoperability standards. Based on the methodologies of a service-oriented architecture and the results of previous projects CRYSTAL focuses on an industry-driven approach using cross-domain user stories, domain-specific use cases, public use cases, and technology bricks. This shall have a significant impact to strengthen European competitiveness regarding new markets and societal applications. In building an overall interoperability domain embedded systems, CRYSTAL will contribute to establishing a standard for model-based systems engineering in a certification and safety context which is expected to have global impact. By bringing together large enterprises and various industrial domains CRYSTAL will setup a sustainable innovation eco-system. By harmonizing the demands in the development of safety-relevant embedded systems including multi-viewpoint engineering and variability management across different industrial domains, CRYSTAL will achieve a strong acceptance from both vendors and the open-source community. CRYSTAL will drive forward interoperability towards a de facto standard providing an interoperable European RTP. Approved by the JU on 20-03-2015
Agency: European Commission | Branch: FP7 | Program: CP | Phase: FoF-ICT-2013.7.1 | Award Amount: 22.24M | Year: 2014
The European manufacturing industry needs competitive solutions to keep global leadership in products and services. Exploiting synergies across application experts, technology suppliers, system integrators and service providers will speed up the process of bringing innovative technologies from research labs to industrial end-users. As an enabler in this context, the EuRoC initiative proposes to launch three industry-relevant challenges: 1) Reconfigurable Interactive Manufacturing Cell, 2) Shop Floor Logistics and Manipulation, 3) Plant Servicing and Inspection. It aims at sharpening the focus of European manufacturing through a number of application experiments, while adopting an innovative approach which ensures comparative performance evaluation. Each challenge is launched via an open call and is structured in 3 stages. 45 Contestants are selected using a challenge in a simulation environment: the low barrier of entry allows new players to compete with established robotics teams. Matching up the best Contestants with industrial end users, 15 Challenger teams are admitted to the second stage, where the typical team is formed by research experts, technology suppliers, system integrators, plus end users. Teams are required to benchmark use cases on standard robotic platforms empowered by this consortium. After a mid-term evaluation with public competition, the teams advance to showcasing the use case in a realistic environment. After an open judging process, 6 Challenge Finalists are admitted to run pilot experiments in a real environment at end-user sites to determine the final EuRoC Winner. A number of challenge advisors and independent experts decide about access to the subsequent stages. A challenge-based approach with multiple stages of increasing complexity and financial support for competing teams will level the playing field for new contestants, attract new developers and new end users toward customisable robot applications, and provide sustainable solutions to carry out future challenges.
Nigro V.,The Second University of Naples
Acta neuropathologica communications | Year: 2014
Mutations in ~100 genes cause muscle diseases with complex and often unexplained genotype/phenotype correlations. Next-generation sequencing studies identify a greater-than-expected number of genetic variations in the human genome. This suggests that existing clinical monogenic testing systematically miss very relevant information.We have created a core panel of genes that cause all known forms of nonsyndromic muscle disorders (MotorPlex). It comprises 93 loci, among which are the largest and most complex human genes, such as TTN, RYR1, NEB and DMD. MotorPlex captures at least 99.2% of 2,544 exons with a very accurate and uniform coverage. This quality is highlighted by the discovery of 20-30% more variations in comparison with whole exome sequencing. The coverage homogeneity has also made feasible to apply a cost-effective pooled sequencing strategy while maintaining optimal sensitivity and specificity.We studied 177 unresolved cases of myopathies for which the best candidate genes were previously excluded. We have identified known pathogenic variants in 52 patients and potential causative ones in further 56 patients. We have also discovered 23 patients showing multiple true disease-associated variants suggesting complex inheritance. Moreover, we frequently detected other nonsynonymous variants of unknown significance in the largest muscle genes. Cost-effective combinatorial pools of DNA samples were similarly accurate (97-99%). MotorPlex is a very robust platform that overcomes for power, costs, speed, sensitivity and specificity the gene-by-gene strategy. The applicability of pooling makes this tool affordable for the screening of genetic variability of muscle genes also in a larger population. We consider that our strategy can have much broader applications.