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Institution

Università degli Studi eCampus

EducationNovedrate, Italy
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.


Papers
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Journal ArticleDOI
TL;DR: A case study of a vertical borehole ground-coupled heat pump (GCHP) system operating in Urbino (Central Italy) is presented in this paper, which includes an assessment of its seasonal performance and impact on the sedimentary heat reservoir from October 2010 to October 2014.

16 citations

Journal ArticleDOI
TL;DR: A correlation was detected between miR-146a levels and subjects’ age and patients’ Mini-Mental State Examination (MMSE) scores, supporting a role for this miRNA in aging processes and disease progression.
Abstract: miR-146a is a microRNA (miRNA) involved in neuroinflammation and aging; alterations in its expression were described in Alzheimer's disease (AD). However, most of the studies conducted so far on this miRNA included a limited number of participants and produced contradictory results. We compared miR-146a levels in plasma from 33 AD patients vs. 28 age-matched non-affected controls (CTRL) through quantitative real-time polymerase chain reaction (qRT-PCR). No difference between the case and the control group was evidenced, but a correlation was detected between miR-146a levels and subjects' age (p < 0.001) as well as between miR-146a levels and patients' Mini-Mental State Examination (MMSE) scores (p = 0.011), in an enlarged group of 51 AD patients and 45 CTRL supporting a role for this miRNA in aging processes and disease progression.

16 citations

Book ChapterDOI
TL;DR: In this article, the authors present an approach to predict the interior acoustic behavior by means of accurate simulation models both to improve the vehicle NVH performance and to reduce the development cycle for new products.
Abstract: In the automotive industry, one of the most important comfort requirements in designing a high quality vehicle is to avoid or minimize the noise in the passenger compartment. Therefore, an ever increasing interest exists to predict the interior acoustic behavior by means of accurate simulation models both to improve the vehicle NVH performance and to reduce the development cycle for new products. Nevertheless, nowadays the level of accuracy of such models is not sufficient to replace the design prototype phase with an all-digital phase, so experimental methods in which an acoustic characterization is performed based on measurements play an important role in understanding the modelling challenges, improving the overall modelling know-how and, more in general, in comprehension of the physical behaviour.

16 citations

Journal ArticleDOI
20 Mar 2020-Chaos
TL;DR: A novel nonlinear data analysis method is proposed that allows for an easy and personalized detection of thresholds both from professional and even from low-cost wearable devices, without the need of expensive gas analyzers.
Abstract: The present paper concerns a new description of changing in metabolism during incremental exercises test that permit an individually tailored program of exercises for obese subjects. We analyzed heart rate variability from RR interval time series (tachogram) with an alternative approach, the recurrence quantification analysis, that allows a description of a time series in terms of its dynamic structure and is able to identify the phase transitions. A transition in cardiac signal dynamics was detected and it perfectly reflects the aerobic threshold, as identified by gas exchange during an incremental exercise test, revealing the coupling from the respiratory system toward the heart. Moreover, our analysis shows that, in the recurrence plot of RR interval, it is possible to identify a specific pattern that allows to identify phase transitions between different dynamic regimes. The perfect match of the occurrence of the phase transitions with changes observed in the VO2 consumption, the gold standard approach to estimate thresholds, strongly supports the possibility of using our analysis of RR interval to detect metabolic threshold. In conclusion, we propose a novel nonlinear data analysis method that allows for an easy and personalized detection of thresholds both from professional and even from low-cost wearable devices, without the need of expensive gas analyzers.

16 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyse the relationship between public primary deficit and debt for Italian sustainability over the 1862-2013 years and conclude that the evidence confirms the absence of fiscal sustainability in the long run for Italy, reinforcing the need for a rebalancing of the public accounts.
Abstract: In this paper we analyse the relationship between public primary deficit and debt for Italian sustainability over the 1862–2013 years. Our empirical strategy uses the wavelet analysis. The evidence confirms the absence of fiscal sustainability in the long‐run for Italy, reinforcing the need for a rebalancing of the public accounts.

16 citations


Authors

Showing all 128 results

NameH-indexPapersCitations
Luca Terenzi12936285419
Giacomo Koch6128713224
Fabrizio Vecchio491375745
Gianluca Castelnuovo382715594
Stefano Lenci383064831
Carlo Baldari331483078
Johnny Padulo322214289
Luisella Bocchio-Chiavetto29522811
Gian Mauro Manzoni281203018
Francesco Focacci24532276
Pietro Ducange23811824
Alessia Arteconi21932076
Marco Pedroni201101390
Massimo Vecchio19671822
Filippo Macaluso1954919
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20229
202171
202080
201961
201872