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Institution

State University of Campinas

EducationCampinas, Brazil
About: State University of Campinas is a education organization based out in Campinas, Brazil. It is known for research contribution in the topics: Population & Context (language use). The organization has 49454 authors who have published 104606 publications receiving 1841004 citations. The organization is also known as: UNICAMP & State University of Campinas.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the dynamical coupling between energy sources and structural response is analyzed for real motors, since real motors have limited output power, and it must not be ignored in real engineering problems.
Abstract: We analyze the dynamical coupling between energy sources and structural response that must not be ignored in real engineering problems, since real motors have limited output power.

220 citations

Journal ArticleDOI
TL;DR: This paper proposes a forgery detection method that exploits subtle inconsistencies in the color of the illumination of images that is applicable to images containing two or more people and requires no expert interaction for the tampering decision.
Abstract: For decades, photographs have been used to document space-time events and they have often served as evidence in courts. Although photographers are able to create composites of analog pictures, this process is very time consuming and requires expert knowledge. Today, however, powerful digital image editing software makes image modifications straightforward. This undermines our trust in photographs and, in particular, questions pictures as evidence for real-world events. In this paper, we analyze one of the most common forms of photographic manipulation, known as image composition or splicing. We propose a forgery detection method that exploits subtle inconsistencies in the color of the illumination of images. Our approach is machine-learning-based and requires minimal user interaction. The technique is applicable to images containing two or more people and requires no expert interaction for the tampering decision. To achieve this, we incorporate information from physics- and statistical-based illuminant estimators on image regions of similar material. From these illuminant estimates, we extract texture- and edge-based features which are then provided to a machine-learning approach for automatic decision-making. The classification performance using an SVM meta-fusion classifier is promising. It yields detection rates of 86% on a new benchmark dataset consisting of 200 images, and 83% on 50 images that were collected from the Internet.

220 citations

Journal ArticleDOI
TL;DR: In this paper, the electronic structure of nitrogen-containing diamond-like films prepared by sputtering was determined by photoelectron spectroscopy, and the core-level spectra were constituted by two peaks at 400.5 and 398.2 eV associated with substitutional structures.
Abstract: The electronic structure of nitrogen-containing diamondlike films prepared by sputtering was determined by photoelectron spectroscopy. The $\mathrm{N}1s$ core-level spectra are constituted by two peaks at 400.5 and 398.2 eV associated with substitutional $\mathrm{N}{\mathrm{sp}}^{2}$ in aromatic rings and N bonded to $\mathrm{C}{\mathrm{sp}}^{3},$ respectively. On increasing N, the top of the valence band suffers profound changes. The new features are identified by a comparison of the experimental spectra with theoretically calculated density of states of nitrogen-containing graphite and ${\mathrm{C}}_{3}{\mathrm{N}}_{4}$ structures.

220 citations

Journal ArticleDOI
TL;DR: The measured absolute value of electromechanical delay has no physiological or psychological meaning and that task and performance induced changes need great care in their interpretation.

220 citations

Journal ArticleDOI
TL;DR: This review intends to provide information on non-GM sugarcane biology, genetics, breeding, agronomic management, processing, products and byproducts, as well as the current technologies used to develop GM sugarcanes, with the aim of assisting regulators in the decision-making process regarding the commercial release of GM Sugarcane cultivars.
Abstract: Global interest in sugarcane has increased significantly in recent years due to its economic impact on sustainable energy production. Sugarcane breeding and better agronomic practices have contributed to a huge increase in sugarcane yield in the last 30 years. Additional increases in sugarcane yield are expected to result from the use of biotechnology tools in the near future. Genetically modified (GM) sugarcane that incorporates genes to increase resistance to biotic and abiotic stresses could play a major role in achieving this goal. However, to bring GM sugarcane to the market, it is necessary to follow a regulatory process that will evaluate the environmental and health impacts of this crop. The regulatory review process is usually accomplished through a comparison of the biology and composition of the GM cultivar and a non-GM counterpart. This review intends to provide information on non-GM sugarcane biology, genetics, breeding, agronomic management, processing, products and byproducts, as well as the current technologies used to develop GM sugarcane, with the aim of assisting regulators in the decision-making process regarding the commercial release of GM sugarcane cultivars.

219 citations


Authors

Showing all 49967 results

NameH-indexPapersCitations
David L. Kaplan1771944146082
Hyun-Chul Kim1764076183227
Carlos Escobar148118495346
Maria Elena Pol139141499240
Scott D. Solomon1371145103041
David H. Pashley13774063657
Wagner Carvalho135139594184
Helio Nogima132127484368
Manfred Jeitler132127889645
Catherine Newman-Holmes12991475447
Guy A. Rouleau12988465892
João Carvalho126127877017
Jochen Schieck124128577822
F. Stuart Chapin12337586236
Jose Chinellato123111664267
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023136
2022790
20216,624
20206,605
20196,831