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Institution

Instituto Politécnico Nacional

EducationMexico City, Mexico
About: Instituto Politécnico Nacional is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Population & Control theory. The organization has 43351 authors who have published 63315 publications receiving 938532 citations. The organization is also known as: Instituto Politécnico Nacional & Instituto Politecnico Nacional.


Papers
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Journal ArticleDOI
TL;DR: The crystal structure of isotactic polystyrene is described in this paper, and the unit cell as determined from the X-ray diffraction spectra of oriented samples is rhombohedral.
Abstract: The crystal structure of isotactic polystyrene is described in this paper. The unit cell as determined from the X-ray diffraction spectra of oriented samples is rhombohedral, and its constants referred to hexagonal axes are: a = 21.9 ± 0.1 A , c = 6.65 ± 0.05 A ( chain axis ) Z = 18 ; Space group R 3 c or R 3 ¯ c .

138 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the fluid dynamic behavior of a commercial hydraulic proportional valve in order to evaluate and justify its global performances and, in particular, to analyze the effects of some additional design features on the reduction of the force required to maintain the valve open.

138 citations

Journal ArticleDOI
Marco Ajello1, Andrea Albert2, Alice Allafort2, Luca Baldini3  +160 moreInstitutions (33)
TL;DR: In this paper, the Fermi Large Area Telescope (LAT) observed two bright X-class solar ares on 2012 March 7, and detected gamma-rays up to 4 GeV.
Abstract: The Fermi Large Area Telescope (LAT) observed two bright X-class solar ares on 2012 March 7, and detected gamma-rays up to 4 GeV. We detected gamma-rays both during the impulsive and temporally-extended emission phases, with emission above 100 MeV lasting for approximately 20 hours. Accurate localization of the gamma-ray production site(s) coincide with the solar active region from which X-ray emissions associated with these ares originated. Our analysis of the > 100 MeV gamma-ray emission shows a relatively rapid monotonic decrease in ux during the rst hour of the impulsive phase, and a much slower, almost monotonic decrease in ux for the next 20 hours. The spectra can be adequately described by a power law with a high energy exponential cuto , or as resulting from the decay of neutral pions produced by accelerated protons and ions with an isotropic power-law energy distribution. The required proton spectrum has a number index 3, with minor variations during the impulsive phase, while during the temporally extended phase the spectrum softens monotonically, starting with index 4. The > 30 MeV proton ux and spectra observed near the Earth by the GOES satellites also show a monotonic ux decrease and spectral softening during the extended phase, but with a harder spectrum, with index 3. Based on the Fermi -LAT and GOES observations of the ux and spectral evolution of these bright ares, we explore the relative merits of prompt and continuous acceleration scenarios, hadronic and leptonic emission processes, and acceleration at the solar corona by the fast Coronal Mass Ejections (CME) as explanations for the observations. We conclude that the most likely scenario is continuous acceleration of protons in the solar corona which penetrate the lower solar atmosphere and produce pions that decay into gamma-rays.

138 citations

Journal ArticleDOI
TL;DR: A new analytical methodology to determine 13 chlorophenols and phenol by SPME-GC-MS in landfill leachates is presented and Reproducibility, expressed by the coefficient of variation of repeated extractions at different concentration levels of the analytes, was on average inferior to 10%.

137 citations

Book ChapterDOI
27 Oct 2012
TL;DR: This paper examines how classifiers work while doing opinion mining over Spanish Twitter data, and presents best settings of parameters for practical applications of opinion mining in Spanish Twitter.
Abstract: Opinion mining deals with determining of the sentiment orientation--positive, negative, or neutral--of a (short) text. Recently, it has attracted great interest both in academia and in industry due to its useful potential applications. One of the most promising applications is analysis of opinions in social networks. In this paper, we examine how classifiers work while doing opinion mining over Spanish Twitter data. We explore how different settings (n-gram size, corpus size, number of sentiment classes, balanced vs. unbalanced corpus, various domains) affect precision of the machine learning algorithms. We experimented with Naive Bayes, Decision Tree, and Support Vector Machines. We describe also language specific preprocessing--in our case, for Spanish language--of tweets. The paper presents best settings of parameters for practical applications of opinion mining in Spanish Twitter. We also present a novel resource for analysis of emotions in texts: a dictionary marked with probabilities to express one of the six basic emotions(Probability Factor of Affective use (PFA)(Spanish Emotion Lexicon that contains 2,036 words.

137 citations


Authors

Showing all 43548 results

NameH-indexPapersCitations
Giacomo Bruno1581687124368
Giuseppe Mancia1451369139692
Giorgio Maggi135132390270
Salvatore Nuzzo133153391600
Giuseppe Iaselli133151491558
Marcello Abbrescia132140084486
Louis Antonelli132108983916
Donato Creanza132145289206
Alexis Pompili131143786312
Gabriella Pugliese131130988714
Giovanna Selvaggi131115983274
Heriberto Castilla-Valdez130165993912
Ricardo Lopez-Fernandez129121381575
Cesare Calabria128109576784
Paolo Vitulo128112079498
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022367
20214,942
20205,245
20194,787
20184,485