Università degli Studi eCampus

About: Università degli Studi eCampus is a education organization based out in Novedrate, Italy. It is known for research contribution in the topics: Anxiety & Planck. The organization has 124 authors who have published 538 publications receiving 21483 citations. The organization is also known as: Universita degli Studi eCampus.

Service Ecosystems for the Common Good: A Case of Non-profit Network Organization

Abstract: Service systems’ capabilities to generate (positive or negative) externalities and their impact at the societal level has remained under-investigated so far. This study addresses this gap and explores how an innovative organizational architecture based on (i) a network of competent actors, (ii) an (ICT-enabled) platform serving as a network commons and (iii) a shared institutional logic and worldview enables the emergence and evolution of a service ecosystem with strong positive externalities. It was conducted an in-depth longitudinal study (2013–2016) on an ICT-enabled community of IT professionals, aimed to provide unemployed professionals with employment opportunities while also providing small and micro enterprises and non-profit organizations with affordable, high-level IT services. The case-study shows that the presence of non-profit organizations in the service ecosystem strongly influences the service ecosystem’s institutional logic and worldview and facilitates sustainability-oriented self-organizing throughout the ecosystem.

Innovative Maintenance Management Methods in Oil Refineries

Abstract: This chapter describes the relevant steps for the design of a preventive maintenance program in an oil refinery plant and its application. The method was developed during a period of 3 years in one of the main Italian refinery.

Evolution of rheological parameters and apparent molecular weight distribution in the bitumen from reclaimed asphalt with rejuvenation and re-ageing

Abstract: The paper aims at analysing the evolution of the rheological behaviour of the bitumen extracted from reclaimed asphalt (RA) with rejuvenation (blending of virgin and RA bitumen, with addition of a ...

On the use of clinical based infection data for pandemic case studies

Abstract: Epidemiological models are relevant to study and analyze clinical as well as environmental and behavioural data, useful to support health studies. The target is to perform epidemiological analysis producing fast and reliable data access useful to guide prevention and curing processes. This is currently true in pandemic emergency as the current Covid-19 context. Epidemiological models should support in the early identification of pandemic phenomena and in making available data set for studying more accurate drug-based strategy for vaccines or virus containment.In this contribution we present an epidemiology database which integrates different types of clinical data to support research, follow-up and patient monitoring. The idea starts from an hospital databases cooperation integration where virus available data have been integrated to support statistical based studies. Starting from an available database containing 5 years data of infection related viruses (such as HPC, hepatitis) and patient anonymous data, the proposed system provide an integrated data access able to (i) extracting data filtered by means of clinical hypothesis based on patient profiles, environment and drugs and (ii) allowing to build large scale geographical data mappings in order to study correlations among chronic infection diseases and their relations with upcoming pandemic phenomena. Even if the application is in its infancy, the application is relevant with high very important applications.

Development and validation of a model for the simulation of the air drying phenomena in pipelines

Abstract: The main aim of this research work consists in the development and validation of a model, based on a numerical method, and its relevant simulation software, to solve the differential equations governing the drying process of gas pipelines. The knowledge of this phenomenon represents the key factor for performing effective pre-commissioning activities in petrochemical industry; in order to avoid hydrate formation and pipe corrosion, it is in fact necessary to achieve an effective removal of all water prior the introduction of hydrocarbon gas. This is normally achieved by performing a bulk dewatering operation, followed by a drying operation which efficiency is dependent on the air flow rate, air pressure and temperature. In this paper, the model implemented in a finite volume-based simulation software, as well as the considerations that have been made for its development, is presented. Its predictions are compared with available air drying field data of two existing gas pipeline systems.