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.

Dynamic distributed clustering in wireless sensor networks via Voronoi tessellation control

Abstract: This paper presents two dynamic and distributed clustering algorithms for Wireless Sensor Networks (WSNs). Clustering approaches are used in WSNs to improve the network lifetime and scalability by ...

Improving the Introduction of Electronic Health Record: Lessons from European and North American Countries

Abstract: The Electronic Health Record (EHR) has many advantages and its introduction is, at the moment, in different stages of progress in various European countries. Reasons such as historic paths, elements and procedures of her affect the progress stages, including issues of law, politics and economics strengths and weakness of national systems. A shared observation among countries underscores the value that can be co-created by the interaction between doctors, nurses, and patients. Certainly the technology has an important role in this value co-creation, facilitating the exchange of information, reducing errors, and enabling more effective and appropriate treatments. We present finally the concrete case of Kaiser Permanente, showing how the interaction between the healthcare providers, patients and demonstrating the ensuing value in improved health for people.

Global attractor for the Navier–Stokes equations with fractional deconvolution

Abstract: We consider a large eddy simulation model for the 3D Navier–Stokes equations obtained through fractional deconvolution of generic order. The global well-posedness of such a problem is already known. We prove the existence of the global attractor for the solution operator and find estimates for its Hausdorff and fractal dimensions both in terms of the Grashoff number and in terms of the mean dissipation length, with particular attention to the dependence on the fractional and deconvolution parameters. These results can be interpreted as bounds for the number of degrees of freedom of long-time dynamics, thus providing further information on the validity of the model for the simulation of turbulent 3D flows.

Regional Resource Assessment During the COVID-19 Pandemic in Italy: Modeling Study

Abstract: Background: COVID-19 has been declared a worldwide emergency and a pandemic by the World Health Organization. It started in China in December 2019, and it rapidly spread throughout Italy, which was the most affected country after China. The pandemic affected all countries with similarly negative effects on the population and health care structures. Objective: The evolution of the COVID-19 infections and the way such a phenomenon can be characterized in terms of resources and planning has to be considered. One of the most critical resources has been intensive care units (ICUs) with respect to the infection trend and critical hospitalization. Methods: We propose a model to estimate the needed number of places in ICUs during the most acute phase of the infection. We also define a scalable geographic model to plan emergency and future management of patients with COVID-19 by planning their reallocation in health structures of other regions. Results: We applied and assessed the prediction method both at the national and regional levels. ICU bed prediction was tested with respect to real data provided by the Italian government. We showed that our model is able to predict, with a reliable error in terms of resource complexity, estimation parameters used in health care structures. In addition, the proposed method is scalable at different geographic levels. This is relevant for pandemics such as COVID-19, which has shown different case incidences even among northern and southern Italian regions. Conclusions: Our contribution can be useful for decision makers to plan resources to guarantee patient management, but it can also be considered as a reference model for potential upcoming waves of COVID-19 and similar emergency situations.

Designing Collaborative Learning Activities with an Augmented LD Tool

Abstract: This paper describes a Learning Design (LD) tool, aimed at supporting teachers' conceptualization of collaborative learning activities for students. The main element of innovation of the tool, called the "augmented 4Ts game", in respect to the other existing LD tools, lays in its being half-tangible-half-digital. The tangible component of the game is based on a paper board and a set of cards, and it is meant to lower teachers' typical barriers towards technology-based tools, and to make the game more flexible and engaging. At the same time, the digital component allows to continue the design work remotely beyond face-to-face sessions, and opens the way for further planning, delivering and sharing support.