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Institution

Polytechnic University of Catalonia

EducationBarcelona, Spain
About: Polytechnic University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Finite element method & Population. The organization has 16006 authors who have published 45325 publications receiving 949306 citations. The organization is also known as: UPC - BarcelonaTECH & Technical University of Catalonia.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors present a complete formulation of a constitutive model that deals with the irreversible behaviour of unsaturated soils under various loading and drying/wetting conditions and derive a standard form of incremental stress-strain relations.
Abstract: This paper first presents a complete formulation of a constitutive model that deals with the irreversible behaviour of unsaturated soils under various loading and drying/wetting conditions. A standard form of incremental stress-strain relations is derived. The constitutive model is then cast into the thermodynamical theories and verified using the thermomechanical principles. It is shown that hydraulic hysteresis does not contribute to the plastic dissipation, though it contributes to the plastic work. All plastic work associated with a plastic increment of the degree of saturation is stored and can be recovered in a reversed plastic increment of saturation. The incremental constitutive equations are also reformulated for implementation in finite element codes where displacements and pore pressures are primary unknowns. Qualitative predictions of the constitutive model show that incorporating two suction related yield surfaces and non-associated flow rules into the Barcelona Basic Model opens a full range of possibilities in modelling unsaturated soil behaviour.

272 citations

Journal ArticleDOI
TL;DR: It is argued that, beyond improving model interpretability as a goal in itself, machine learning needs to integrate the medical experts in the design of data analysis interpretation strategies Otherwise, machineLearning is unlikely to become a part of routine clinical and health care practice.
Abstract: In a short period of time, many areas of science have made a sharp transition towards data-dependent methods. In some cases, this process has been enabled by simultaneous advances in data acquisition and the development of networked system technologies. This new situation is particularly clear in the life sciences, where data overabundance has sparked a flurry of new methodologies for data management and analysis. This can be seen as a perfect scenario for the use of machine learning and computational intelligence techniques to address problems in which more traditional data analysis approaches might struggle. But, this scenario also poses some serious challenges. One of them is model interpretability and explainability, especially for complex nonlinear models. In some areas such as medicine and health care, not addressing such challenge might seriously limit the chances of adoption, in real practice, of computer-based systems that rely on machine learning and computational intelligence methods for data analysis. In this paper, we reflect on recent investigations about the interpretability and explainability of machine learning methods and discuss their impact on medicine and health care. We pay specific attention to one of the ways in which interpretability and explainability in this context can be addressed, which is through data and model visualization. We argue that, beyond improving model interpretability as a goal in itself, we need to integrate the medical experts in the design of data analysis interpretation strategies. Otherwise, machine learning is unlikely to become a part of routine clinical and health care practice.

272 citations

Journal ArticleDOI
TL;DR: In this article, a microscopic calculation of the effective mass of one $ √ 4 √ He$ impurity in homogeneous liquid at zero temperature is performed for an extended Jastrow-Slater wave function, including two and three-body dynamical correlations and also backflow correlations between the $ ∆ ∆ He$ atom and the particles in the medium.
Abstract: A microscopic calculation of the effective mass of one $^{4}\mathrm{He}$ impurity in homogeneous liquid $^{3}\mathrm{He}$ at zero temperature is performed for an extended Jastrow-Slater wave function, including two- and three-body dynamical correlations and also backflow correlations between the $^{4}\mathrm{He}$ atom and the particles in the medium. The effective mass at equilibrium density, m〈main${\mathrm{〉}}_{4}^{\mathrm{*}}$/${\mathit{m}}_{4}$=1.21, is in very good agreement with the recent experimental determination by Edwards et al. The three-particle correlations appear to give a small contribution to the effective mass and different approximations for the three-particle distribution function give almost identical results for ${\mathit{m}}_{4}^{\mathrm{*}}$/${\mathit{m}}_{4}$.

271 citations

Journal ArticleDOI
TL;DR: The current situation of air quality worldwide indicates that SO(2) maintains a downward tendency throughout the world, with the exception of some Central American and Asian cities, and NO(2), which maintains levels very close to the WHO guideline value around the world.

271 citations

Journal ArticleDOI
TL;DR: This performance provides an experimental benchmark demonstrating the ability to realize the low-frequency science potential of the LISA mission, recently selected by the European Space Agency.
Abstract: In the months since the publication of the first results, the noise performance of LISA Pathfinder has improved because of reduced Brownian noise due to the continued decrease in pressure around the test masses, from a better correction of noninertial effects, and from a better calibration of the electrostatic force actuation. In addition, the availability of numerous long noise measurement runs, during which no perturbation is purposely applied to the test masses, has allowed the measurement of noise with good statistics down to 20 μ Hz . The Letter presents the measured differential acceleration noise figure, which is at ( 1.74 ± 0.01 ) fm s − 2 / √ Hz above 2 mHz and ( 6 ± 1 ) × 10 fm s − 2 / √ Hz at 20 μ Hz , and discusses the physical sources for the measured noise. This performance provides an experimental benchmark demonstrating the ability to realize the low-frequency science potential of the LISA mission, recently selected by the European Space Agency.

271 citations


Authors

Showing all 16211 results

NameH-indexPapersCitations
Frede Blaabjerg1472161112017
Carlos M. Duarte132117386672
Ian F. Akyildiz11761299653
Josep M. Guerrero110119760890
David S. Wishart10852376652
O. C. Zienkiewicz10745571204
Maciej Lewenstein10493147362
Jordi Rello10369435994
Anil Kumar99212464825
Surendra P. Shah9971032832
Liang Wang98171845600
Aharon Gedanken9686138974
María Vallet-Regí9571141641
Bonaventura Clotet9478439004
Roberto Elosua9048154019
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023129
2022379
20212,313
20202,429
20192,427