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Institution

Polytechnic University of Turin

EducationTurin, Piemonte, Italy
About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Nonlinear system. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.


Papers
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Journal ArticleDOI
26 Mar 2019
TL;DR: The current review reports an in-depth analysis of the most recent research studies aiming at developing both inorganic and organic materials for nanomedical applications in cancer diagnosis and therapy.
Abstract: Cancer accounts for millions of deaths every year and, due to the increase and aging of the world population, the number of new diagnosed cases is continuously rising. Although many progresses in early diagnosis and innovative therapeutic protocols have been already set in clinical practice, still a lot of critical aspects need to be addressed in order to efficiently treat cancer and to reduce several drawbacks caused by conventional therapies. Nanomedicine has emerged as a very promising approach to support both early diagnosis and effective therapy of tumors, and a plethora of different inorganic and organic multifunctional nanomaterials have been ad hoc designed to meet the constant demand for new solutions in cancer treatment. Given their unique features and extreme versatility, nanocarriers represent an innovative and easily adaptable tool both for imaging and targeted therapy purposes, in order to improve the specific delivery of drugs administered to cancer patients. The current review reports an in-depth analysis of the most recent research studies aiming at developing both inorganic and organic materials for nanomedical applications in cancer diagnosis and therapy. A detailed overview of different approaches currently undergoing clinical trials or already approved in clinical practice is provided.

143 citations

Journal ArticleDOI
01 Nov 2004
TL;DR: In this article, a direct torque control (DTC) strategy for dual-three phase induction motor drives is discussed, which is based on a predictive algorithm and implemented in a synchronous reference frame aligned with the machine stator flux vector.
Abstract: A direct torque control (DTC) strategy for dual-three phase induction motor drives is discussed in this paper. The induction machine has two sets of stator three-phase windings spatially shifted by 30 electrical degrees. The DTC strategy is based on a predictive algorithm and it is implemented in a synchronous reference frame aligned with the machine stator flux vector. The advantages of the discussed control strategy are: constant inverter switching frequency, good transient and steady-state performance and low distortion of machine phase currents respect to direct self control (DSC) and other DTC schemes with variable switching frequency. Experimental results are presented for a 10 kW DTC dual three-phase induction motor drive prototype.

143 citations

Journal ArticleDOI
TL;DR: In this paper, a Monte Carlo approach for the inversion problem has been used to obtain a set of equivalent shear-wave velocity models, which are then used to evaluate the seismic response with a conventional one-dimensional analysis.

143 citations

Journal ArticleDOI
TL;DR: In this article, the group theoretical properties of R-R scalars of string theories in the low-energy supergravity limit are considered and the solvable Lie subalgebra Gs ⊂ U of the U-duality algebra that generates the scalar manifold of the theory: exp[Gs] = U/H.

143 citations

Journal ArticleDOI
TL;DR: In this article, the analysis of thickness locking mechanism, which is a plate/shell-theory mechanism, caused by the use of simplified kinematic assumptions, is extended to shell geometries.

143 citations


Authors

Showing all 11854 results

NameH-indexPapersCitations
Rodney S. Ruoff164666194902
Silvia Bordiga10749841413
Sergio Ferrara10572644507
Enrico Rossi10360641255
Stefano Passerini10277139119
James Barber10264242397
Markus J. Buehler9560933054
Dario Farina9483232786
Gabriel G. Katul9150634088
M. De Laurentis8427554727
Giuseppe Caire8282540344
Christophe Fraser7626429250
Erasmo Carrera7582923981
Andrea Califano7530531348
Massimo Inguscio7442721507
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023210
2022487
20212,789
20202,969
20192,779
20182,509