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Institution

National University of La Plata

EducationLa Plata, Argentina
About: National University of La Plata is a education organization based out in La Plata, Argentina. It is known for research contribution in the topics: Population & Stars. The organization has 12993 authors who have published 30013 publications receiving 495118 citations. The organization is also known as: UNLP & Universidad Nacional de La Plata.


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Journal ArticleDOI
TL;DR: In this article, the authors evaluated both oxidative stress and the antioxidant response system in leaves from wheat (Triticum aestivum cv. Buck Poncho) subjected sequentially to drought and watering.
Abstract: The purpose of the present work was to evaluate both oxidative stress and the antioxidant response system in leaves from wheat (Triticum aestivum cv. Buck Poncho) subjected sequentially to drought and watering. Drought was imposed by withholding water until soil water potential reached - 2.0 MPa and maintained under those conditions for 24 h. DCFDA oxidation by wheat leaves was not significantly affected by drought, but watering led to an approximately 2-fold increase in DCFDA oxidation rate. However, no significant effect either on lipid radical content or on hydroperoxide content was measured after drought and drought followed by watering. Microsomes isolated from leaves exposed to drought, and from leaves exposed to drought followed by watering, generated a significantly higher amount of hydroxyl radical as compared to microsomes isolated from control leaves, suggesting a higher production of hydroxyl radical in the cellular water-soluble phase, after drought and watering as compared to control values. The content of α-tocopherol in wheat leaves was increased 2.4-fold after drought and β-carotene content was increased by 2.6-fold after drought. Hydration lowered lipid-soluble antioxidant content to control values. Total thiol content was increased by 70% after drought, and watering did not significantly alter the enhanced values. Drought decreased by 28.5% the content of reduced ascorbic acid. Taken as a whole, active species formed at wheat membranes after exposure to moderate water stress, are efficiently removed upon rehydration by reaction with an increased content of α-tocopherol and β-carotene. Moreover, a co-ordinated response involving glutathione reductase activity, thiols and ascorbic acid is triggered to limit free radical dependent effects.

231 citations

Journal ArticleDOI
TL;DR: In this paper, the extinction spectra of spherical gold nanoparticles suspended in a homogeneous media were measured and the results were adjusted with Mie's theory together with an appropriate modification of the optical properties of bulk material considering the limitation that introduces the size of nanoparticles on the dielectric function.
Abstract: The extinction spectra of spherical gold nanoparticles suspended in a homogeneous media were measured and the results were adjusted with Mie's theory together with an appropriate modification of the optical properties of bulk material considering the limitation that introduces the size of nanoparticles on the dielectric function. Usually, the contribution of free electrons to the dielectric function is modified for particle size, while the contribution of bound electrons is assumed to be independent of size. This work discusses the separated contribution of free and bound electrons on the optical properties of particles and their variation with size for gold nanoparticles. The effects of dielectric function and its changes with size on extinction spectra near plasmon resonance are considered. The damping constant for free electrons was changed with size as usual and a scattering constant of C = 0.8 was used. For the bound electron contribution, two different models were analysed to fit the extinction spectra: on the one hand, the damping constant for interband transitions and the gap energy were used as fitting parameters and on the other, the electronic density of states in the conduction band was made size-dependent. For the first model, extinction spectra corresponding to particles with radius R = 0.7 nm were fitted using two sets of values of the energy gap and damping constant: Eg = 2.3 eV and or Eg = 2.1 eV and . For the second model, a simple assumption for the electronic density of states and its contribution to the dielectric function in terms of size allowed to adjust extinction spectra for all samples explored (from 0.3 to 1.6 nm radius). This last model uses only one parameter, a scale factor R0 = 0.35 nm, that controls the contribution of the bound electrons in nanoparticles. Contrast between the maximum and the minimum in the extinction spectra near the resonance at 520 nm or alternatively the broadening of the plasmon band can be used to determine the size of gold nanoparticles with radius smaller than 2 nm.

230 citations

Journal ArticleDOI
A. Aab1, P. Abreu1, Marco Aglietta1, E. J. Ahn1  +487 moreInstitutions (64)
TL;DR: In this article, the authors presented the first hybrid measurement of the average muon number in air showers at ultrahigh energies, initiated by cosmic rays with zenith angles between 62° and 80°.
Abstract: We present the first hybrid measurement of the average muon number in air showers at ultrahigh energies, initiated by cosmic rays with zenith angles between 62° and 80°. The measurement is based on 174 hybrid events recorded simultaneously with the surface detector array and the fluorescence detector of the Pierre Auger Observatory. The muon number for each shower is derived by scaling a simulated reference profile of the lateral muon density distribution at the ground until it fits the data. A 1019eV shower with a zenith angle of 67°, which arrives at the surface detector array at an altitude of 1450 m above sea level, contains on average (2.68±0.04±0.48(sys))×107 muons with energies larger than 0.3 GeV. The logarithmic gain dlnNμ/dlnE of muons with increasing energy between 4×1018eV and 5×1019eV is measured to be (1.029±0.024±0.030(sys)).

229 citations

Journal ArticleDOI
Georges Aad1, S. Albrand2, J. S. Brown2, Johann Collot2, Sabine Crépé-Renaudin2, B. Dechenaux2, Pierre-Antoine Delsart2, C. Gabaldon2, Marie-Hélène Genest2, J-Y. Hostachy2, Fabienne Ledroit-Guillon2, Annick Lleres2, Arnaud Lucotte2, Fairouz Malek2, Caterina Monini2, Jan Stark2, Benjamin Trocmé2, M. Wu2, Ghita Rahal, Zuzana Barnovska3, Nicolas Berger3, Marco Delmastro3, L. Di Ciaccio3, T.K.O. Doan4, Sabine Elles3, Corinne Goy3, Tetiana Hryn'ova3, Stéphane Jézéquel3, H. Keoshkerian3, Iro Koletsou3, Remi Lafaye3, Jessica Levêque3, V.P. Lombardo5, N. Massol3, H. Przysiezniak3, G. Sauvage3, Emmanuel Sauvan3, M. Schwoerer3, Olivier Simard3, T. Todorov3, Isabelle Wingerter-Seez3, Lion Alio1, Marlon Barbero1, J. C. Clemens1, Yann Coadou1, Sara Diglio1, Fares Djama1, Lorenzo Feligioni1, Gregory David Hallewell1, Dieter H. H. Hoffmann1, Fabrice Hubaut1, Edith Knoops1, E. Le Guirriec1, Bing Li6, D. Madaffari1, K. Mochizuki1, Emmanuel Monnier1, G.S. Muanza7, Yoshikazu Nagai1, Pascal Pralavorio1, Alexandre Rozanov1, Thomas Serre1, Mossadek Talby1, E. Tiouchichine1, Sylvain Tisserant1, Jozsef Toth, Francois Touchard1, Michael Ughetto1, Laurent Vacavant1, M.K. Ayoub8, Ahmed Bassalat9, Cyril Becot9, Sebastien Binet9, Claire Bourdarios9, D. Delgove10, J-B. de Vivie De Regie11, Laurent Duflot9, Marc Escalier9, Louis Fayard9, Daniel Fournier9, Evangelos Leonidas Gkougkousis9, J-F Grivaz9, Thibault Guillemin9, F. Hariri9, Sophie Henrot-Versille9, Julius Hrivnac9, Lydia Iconomidou-Fayard9, Marumi Kado9, Abdenour Lounis9, Nikola Makovec9, Nicolas Morange12, Clara Nellist9, Pierre Petroff, Luc Poggioli9, Patrick Puzo9, A. Renaud9, David Rousseau9, Grigori Rybkin9, Arthur Schaffer9, Estelle Scifo9, Laurent Serin9, Stefan Simion9, Reisaburo Tanaka9, Dirk Zerwas9, Zhiqing Zhang9, Yongke Zhao13 
TL;DR: In this article, the authors reported the observation of Higgs boson decays to $WW^{\ast}$ based on an excess over background of 6.1 standard deviations, where the Standard Model expectation is 5.8 standard deviations.
Abstract: We report the observation of Higgs boson decays to $WW^{\ast}$ based on an excess over background of 6.1 standard deviations in the dilepton final state, where the Standard Model expectation is 5.8 standard deviations. Evidence for the vector-boson fusion (VBF) production process is obtained with a significance of 3.2 standard deviations. The results are obtained from a data sample corresponding to an integrated luminosity of $25 \textrm{pb}^{-1}$ from $\sqrt{s}=7$ and 8 TeV $pp$ collisions recorded by the ATLAS detector at the LHC. For a Higgs boson mass of 125.36 GeV, the ratio of the measured value to the expected value of the total production cross section times branching fraction is $1.09^{+0.16}_{-0.15} \textrm{(stat.)}^{+0.17}_{-0.14} \textrm{(syst.)}$. The corresponding ratios for the gluon fusion and vector-boson fusion production mechanisms are $1.02\pm 0.19 \textrm{(stat.)}^{+0.22}_{-0.18} \textrm{(syst.)}$ and $1.27^{+0.44}_{-0.40} \textrm{(stat.)}^{+0.30}_{-0.21} \textrm{(syst.)}$, respectively. At $\sqrt{s}=8$ TeV, the total production cross sections are measured to be $\sigma(gg\to H\rightarrow WW^\ast) = 4.6\pm0.9\,\textrm{(stat.)}\,^{+0.8}_{-0.7}\,\textrm{(syst.)}\textrm{pb}$ and $\sigma(\textrm{VBF} H\rightarrow WW^\ast) = 0.51\,^{+0.17}_{-0.15}\,\textrm{(stat.)}\,^{+0.13}_{-0.08}\,\textrm{(syst.)}\textrm{pb}$. The fiducial cross section is determined for the gluon-fusion process in exclusive final states with zero or one associated jet.

229 citations

Journal Article
TL;DR: This book presents the past, the present and the future of the different types of machine learning algorithms, and suggests to get the best out of each “tribe” and make a unique learning algorithm able to learn without caring about the problem: the master algorithm.
Abstract: Nowadays, “machine learning” is present in several aspects of the current world, internet advisors, advertisements and “smart” devices that seem to know what we need in a given moment. These are some examples of the problems solved by machine learning. This book presents the past, the present and the future of the different types of machine learning algorithms. At the beginning of the book, the author takes us to the first years of the computing science, where a programmer had to do absolutely everything by himself to make an algorithm do a certain task. As time passes, there appeared the first algorithms that were capable of programming themselves learning from the available data. The author presents what he himself calls the five “tribes” of machine learning, the essence that defends each one and the kind of problems that are able to solve without problems. With a great amount of simple examples, the author depicts which advantages and disadvantages of the “master” algorithms of each “tribes” are, saying that the problem that a tribe solves perfectly well, another one cannot do it, and the other way about. The author suggests to get the best out of each “tribe” and make a unique learning algorithm able to learn without caring about the problem: the master algorithm.

229 citations


Authors

Showing all 13198 results

NameH-indexPapersCitations
David Cameron1541586126067
Subir Sarkar1491542144614
Mayda Velasco137130987579
Diego F. Torres13794872180
Heidi Sandaker12899976517
Vincent Garonne12892176980
Farid Ould-Saada12893176394
Ole Røhne128103875752
Peter Hansen128127186210
Maria-Teresa Dova12777873558
Vladimir Sulin12788475329
Andrei Snesarev12787574907
James Catmore12789275086
Ruslan Mashinistov12686073897
Fernando Monticelli12684373385
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202333
2022315
20211,491
20201,738
20191,675
20181,527