Institution
ParisTech
Education•Paris, France•
About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Residual stress. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.
Topics: Finite element method, Residual stress, Context (language use), Microstructure, Surface finish
Papers published on a yearly basis
Papers
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25 Jun 2008TL;DR: The classic example of a noisy sinusoidal signal permits for the first time to derive an error analysis for a new algebraic and non-asymptotic estimation technique.
Abstract: The classic example of a noisy sinusoidal signal permits for the first time to derive an error analysis for a new algebraic and non-asymptotic estimation technique. This approach yields a selection of suitable parameters in the estimation procedure, in order to minimize the noise corruption.
35 citations
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TL;DR: In this article, a carbon aerogel modified graphite felt is prepared as electrodes for vanadium redox flow batteries and the performance of the carbon-carbon composite electrodes is investigated.
35 citations
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TL;DR: This study points out the limitations of 2D measurements of femoral offset on standard plane X-rays and suggests the EOS imaging system could be an option for obtaining accurate and reliable offset measurements while significantly limiting the patient’s exposure to radiation.
Abstract: Accurate evaluation of femoral offset is difficult with conventional anteroposterior (AP) X-rays. The EOS imaging system is a system that makes the acquisition of simultaneous and orthogonal AP and lateral images of the patient in the standing position possible. These two-dimensional (2D) images are equivalent to standard plane X-rays. Three-dimensional (3D) reconstructions are obtained from these paired images according to a validated protocol. This prospective study explores the value of the EOS imaging system for comparing measurements of femoral offset from these 2D images and the 3D reconstructions. We included 110 patients with unilateral total hip arthroplasty (THA). The 2D offset was measured on the AP view with the same protocol as for standard X-rays. The 3D offset was calculated from the reconstructions based on the orthogonal AP and lateral views. Reproducibility and repeatability studies were conducted for each measurement. We compared the 2D and 3D offset for both hips (with and without THA). For the global series (110 hips with and 110 without THA), 2D offset was 40 mm (SD 7.3; 7–57 mm). The standard deviation was 6.5 mm for repeatability and 7.5 mm for reproducibility. Three-dimensional offset was 43 mm (SD 6.6; 22–62 mm), with a standard deviation of 4.6 for repeatability and 5.5 for reproducibility. Two-dimensional offset for the hips without THA was 40 mm (SD 7.0; 26–56 mm), and 3D offset 43 mm (SD 6.6; 28–62 mm). For THA side, 2D offset was 41 mm (SD 8.2; 7–57 mm) and 3D offset 45 mm (SD 4.8; 22–61 mm). Comparison of the two protocols shows a significant difference between the 2D and 3D measurements, with the 3D offset having higher values. Comparison of the side with and without surgery for each case showed a 5-mm deficit for the offset in 35 % of the patients according to the 2D measurement but in only 26 % according to the 3D calculation. This study points out the limitations of 2D measurements of femoral offset on standard plane X-rays. The reliability of the EOS 3D models has been previously demonstrated with CT scan reconstructions as a reference. The EOS imaging system could be an option for obtaining accurate and reliable offset measurements while significantly limiting the patient’s exposure to radiation.
35 citations
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TL;DR: In this paper, the authors analyzed cutting forces behavior as a function of feedrate and cutting speed for the high-speed peripheral milling of UNS A92024-T3 (Al-Cu) stacks.
35 citations
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TL;DR: The Cancun conference decided to establish a Climate Green Fund (CGF) to help developing countries align their development policies with the long-term UNFCCC objectives as discussed by the authors.
Abstract: The Cancun conference decided to establish a Climate Green Fund (CGF) to help developing countries align their development policies with the long-term UNFCCC objectives. This paper clarifies the links between the two underlying motives: the first, technical in nature, is the necessity to redirect the infrastructure instruments in these countries (energy, transportation, building, material transformation industry) to avoid lock-in in carbon-intensive pathways in the likely absence of a significant world carbon price in the coming decade; the second, political in nature, is the interpretation of the CGF as a practical translation of the notion of the common but differentiated responsibility principle, since the funds are expected to come from Annex 1 countries. This paper shows why this latter perspective might generate some distrust given the orders of magnitude of funds to be levied in Annex 1 countries especially in the context of the financial crisis and major constraints on public budgets. It then explores the basic principles around which it is possible to minimize these risks by upgrading climate finance in the broader context of the evolution of the financial and monetary systems. After exploring how such links could help make climate policies that contribute to reducing some of the imbalances caused by economic globalization by reorienting world savings and reducing investment uncertainty, it sketches how this perspective might be palatable for the OECD, the major emerging economies and fossil fuel exporters.
35 citations
Authors
Showing all 1899 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mathias Fink | 116 | 900 | 51759 |
George G. Malliaras | 94 | 382 | 28533 |
Mickael Tanter | 85 | 583 | 29452 |
Gerard Mourou | 82 | 653 | 34147 |
Catherine Lapierre | 79 | 227 | 18286 |
Carlo Adamo | 75 | 444 | 36092 |
Jean-François Joanny | 72 | 294 | 20700 |
Marie-Paule Lefranc | 72 | 381 | 21087 |
Paul B. Rainey | 70 | 222 | 17930 |
Vincent Lepetit | 70 | 268 | 26207 |
Bernard Asselain | 69 | 409 | 23648 |
Michael J. Baker | 69 | 394 | 20834 |
Jacques Prost | 68 | 198 | 19064 |
Jean-Philippe Vert | 67 | 235 | 17593 |
Jacques Mairesse | 66 | 310 | 20539 |