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Institution

University of Trento

EducationTrento, Italy
About: University of Trento is a education organization based out in Trento, Italy. It is known for research contribution in the topics: Population & Context (language use). The organization has 10527 authors who have published 30978 publications receiving 896614 citations. The organization is also known as: Universitá degli Studi di Trento & Universita degli Studi di Trento.


Papers
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Book ChapterDOI
26 May 2004
TL;DR: Binders and operators are added to wrap a process just as membranes enclose some living matter and hence to mimick biological interfaces to describe the dynamics of those interfaces.
Abstract: This paper presents binders and operators, in the process calculi tradition, to reason about biological interactions. Special binders are added to wrap a process just as membranes enclose some living matter and hence to mimick biological interfaces. A few operators are then added to the pi-calculus kernel to describe the dynamics of those interfaces.

253 citations

Journal ArticleDOI
TL;DR: In this article, the feasibility of a passive isolation strategy for seismic waves based on large-scale mechanical metamaterials is discussed, including numerical analysis of both surface and guided seismic waves, soil dissipation effects, and adopting a full 3D simulations.
Abstract: Earthquakes represent one of the most catastrophic natural events affecting mankind. At present, a universally accepted risk mitigation strategy for seismic events remains to be proposed. Most approaches are based on vibration isolation of structures rather than on the remote shielding of incoming waves. In this work, we propose a novel approach to the problem and discuss the feasibility of a passive isolation strategy for seismic waves based on large-scale mechanical metamaterials, including for the first time numerical analysis of both surface and guided waves, soil dissipation effects, and adopting a full 3D simulations. The study focuses on realistic structures that can be effective in frequency ranges of interest for seismic waves, and optimal design criteria are provided, exploring different metamaterial configurations, combining phononic crystals and locally resonant structures and different ranges of mechanical properties. Dispersion analysis and full-scale 3D transient wave transmission simulations are carried out on finite size systems to assess the seismic wave amplitude attenuation in realistic conditions. Results reveal that both surface and bulk seismic waves can be considerably attenuated, making this strategy viable for the protection of civil structures against seismic risk. The proposed remote shielding approach could open up new perspectives in the field of seismology and in related areas of low-frequency vibration damping or blast protection.

252 citations

Journal ArticleDOI
TL;DR: In this article, the most significant and appealing mechanisms proposed for explaining the flash sintering event are analyzed and discussed, with the aim to point out the level of knowledge reached so far and identify, at least, possible shared theories useful to propose future scientific activities and potential technological implementations.
Abstract: Flash sintering is a novel densification technology for ceramics, which allows a dramatic reduction of processing time and temperature. It represents a promising sintering route to reduce economic, energetic and environmental costs associated to firing. Moreover, it allows to develop peculiar and out-of-equilibrium microstructures. The flash process is complex and unusual, including different simultaneous physical and chemical phenomena and their understanding, explanation and implementation require an interdisciplinary approach from physics, to chemistry and engineering. In spite of the intensive work of several researchers, there is still a wide debate as for the predominant mechanisms responsible for flash sintering process. In the present review, the most significant and appealing mechanisms proposed for explaining the “flash” event are analyzed and discussed, with the aim to point out the level of knowledge reached so far and identify, at least, possible shared theories useful to propose future scientific activities and potential technological implementations.

252 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the ongoing process of labour market "flexibilization" and its consequences for individual labour market careers and social inequalities and ask whether the deregulation has fulfilled the expectations attached to it.
Abstract: Labor market 'flexibilization' or 'deregulation' is seen by many as a requirement for economic and occupational growth. As one route towards more flexibility, many European countries increased the so-called atypical or non-standard forms of employment while leaving the regulation of existing employment relations largely unchanged. In Italy, this led to a strong segmentation of the labour market. As employment is the only connection to a series of welfare entitlements, this praxis might lead to strong cleavages in the society. In this paper, we investigate the ongoing process of labour market 'flexibilization' and its consequences for individual labour market careers and social inequalities and ask whether the deregulation has fulfilled the expectations attached to it. In detail, we study the entries into the marginal labour market and the consequences for employment careers of these forms of 'new' flexible employment. Empirical findings based on Indagine Longitudinale sulle Famiglie Italiane data cast doubts on the effectiveness of the specific form of market deregulation in Italy and confirm strong long-term implications of atypical employment episodes for career chances.

252 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a detailed review of existing models, highlighting their advantages and disadvantages, and extrapolate future directions in the area of automatic image description generation by providing an overview of the benchmark image datasets and the evaluation measures that have been developed to assess the quality of machine-generated image descriptions.
Abstract: Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the existing approaches based on how they conceptualize this problem, viz., models that cast description as either generation problem or as a retrieval problem over a visual or multimodal representational space. We provide a detailed review of existing models, highlighting their advantages and disadvantages. Moreover, we give an overview of the benchmark image datasets and the evaluation measures that have been developed to assess the quality of machine-generated image descriptions. Finally we extrapolate future directions in the area of automatic image description generation.

251 citations


Authors

Showing all 10758 results

NameH-indexPapersCitations
Yi Chen2174342293080
Jie Zhang1784857221720
Richard B. Lipton1762110140776
Jasvinder A. Singh1762382223370
J. N. Butler1722525175561
Andrea Bocci1722402176461
P. Chang1702154151783
Bradley Cox1692150156200
Marc Weber1672716153502
Guenakh Mitselmakher1651951164435
Brian L Winer1621832128850
J. S. Lange1602083145919
Ralph A. DeFronzo160759132993
Darien Wood1602174136596
Robert Stone1601756167901
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023158
2022340
20212,402
20202,286
20192,130
20181,943