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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.


Papers
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Journal ArticleDOI
TL;DR: A molecular-dynamics simulation of a peptide composed of nine Args (Arg-9) shows that this peptide follows the same translocation pathway previously found for the Tat peptide, and suggests that the mechanism of action of Arg-9 peptides involves the creation of transient pores in lipid bilayers and cell membranes.

281 citations

Journal ArticleDOI
TL;DR: In this article, the authors integrated geospatial technology and population census data to understand how people use and develop the lands of the island of Puerto Rico, and defined three new regions for Puerto Rico: Urban (16%), Densely populated rural (36%), and Sparsely populated Rural (48%).

276 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2868 moreInstitutions (187)
TL;DR: In this paper, an improved measurement of the mass of the Higgs boson is derived from a combined fit to the reconstructed invariant mass spectra of the decay channels H -> gamma gamma and H -> ZZ* -> 4l.
Abstract: An improved measurement of the mass of the Higgs boson is derived from a combined fit to the reconstructed invariant mass spectra of the decay channels H -> gamma gamma and H -> ZZ* -> 4l. The analysis uses the pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at center-of-mass energies of 7 TeV and 8 TeV, corresponding to an integrated luminosity of 25 fb(-1). The measured value of the Higgs boson mass is m(H) = 125.36 +/- 0.37(stat) +/- 0.18 (syst) GeV. This result is based on improved energy-scale calibrations for photons, electrons, and muons as well as other analysis improvements, and supersedes the previous result from ATLAS. Upper limits on the total width of the Higgs boson are derived from fits to the invariant mass spectra of the H -> gamma gamma and H -> ZZ* -> 4l decay channels.

274 citations

Journal ArticleDOI
TL;DR: A facile strategy based on the use of bifunctional macromolecular ligands to electrostatically assemble biorecongnition sites into the nanochannel wall, which can then be used as recognition elements for constructing a nanobiosensor and it is demonstrated that this approach enables the creation of supramolecular multilayered structures inside the nanopore that are stabilized by strong ligand-receptor interactions.
Abstract: There is a growing quest for tailorable nanochannels or nanopores having dimensions comparable to the size of biological molecules and mimicking the function of biological ion channels. This interest is based on the use of nanochannels as extremely sensitive single molecule biosensors. The biosensing capabilities of these nanochannels depend sensitively on the surface characteristics of their inner walls to achieve the desired functionality of the biomimetic system. Nanoscale control over the surface properties of the nanochannel plays a crucial role in the biosensing performance due to the chemical groups incorporated on the inner channel walls that act as binding sites for different analytes and interact with molecules passing through the channel. Here we report a new approach to incorporate biosensing elements into polymer nanochannels by using electrostatic self-assembly. We describe a facile strategy based on the use of bifunctional macromolecular ligands to electrostatically assemble biorecongnition sites into the nanochannel wall, which can then be used as recognition elements for constructing a nanobiosensor. The experimental results demonstrate that the ligand-functionalized nanochannels are very stable and the biorecognition event (protein conjugation) does not promote the removal of the ligands from the channel surface. In addition, control experiments indicated that the electrostatically assembled nanochannel surface displays good biospecificity and nonfouling properties. Then, we demonstrate that this approach also enables the creation of supramolecular multilayered structures inside the nanopore that are stabilized by strong ligand-receptor interactions. We envision that the formation of multilayered supramolecular assemblies inside solid-state nanochannels will play a key role in the further expansion of the toolbox called "soft nanotechnology", as well as in the construction of new multifunctional biomimetic systems.

274 citations

Journal ArticleDOI
TL;DR: In this article, the Jensen-Shannon divergence is used to measure the complexity of probability distributions, and a measure of complexity called nontriviality is proposed to distinguish different degrees of periodicity.
Abstract: We discuss a way of characterizing probability distributions, complementing that provided by the celebrated notion of information measure, with reference to a measure of complexity that we call a “nontriviality measure”. Our starting point is the “LMC” measure of complexity advanced by Lopez-Ruiz et al. (Phys. Lett. A 209 (1995) 321) and its analysis by Anteneodo and Plastino (Phys. Lett. A 223 (1997) 348). An improvement of some of their troublesome characteristics is thereby achieved. Basically, we replace the Euclidean distance to equilibrium by the Jensen–Shannon divergence. The resulting measure turns out to be (i) an intensive quantity and (ii) allows one to distinguish between different degrees of periodicity. We apply the “cured” measure to the logistic map so as to clearly exhibit its advantages.

272 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