6,418 research outputs found
Overview of the vector-like quark searches with the LHC data collected by the ATLAS detector
In 2012 the discovery of the Higgs boson by the ATLAS and CMS collaborations
set a milestone in particle physics by finding the missing piece of the
Standard Model. Nonetheless some questions are still open: the origin of the
mass of the neutrino and finding the missing candidate for dark matter are some
examples. One of the main issues with the Standard Model is the hierarchy
problem which appears when trying to go to high energy scales at which the
theory cannot accommodate corrections large enough to explain the observed
nature. Vector-like quarks appear naturally in some non-supersymmetric models
which try to find a solution for this issue. The different searches for
vector-like quarks within the ATLAS Collaboration using data collected at a
centre-of-mass energy of 8 and 13~TeV with integrated luminosities of
(8~TeV) and and
(13~TeV) are discussed.Comment: International Workshop on Top Quark Physics Olomouc, Czech
Republic, September 19--23, 201
Searches for flavour changing neutral currents in the top sector
Flavour Changing Neutral Current (FCNC) processes are forbidden at tree level
in the Standard Model and highly suppressed at higher orders. This makes FCNC
one of the key processes to search for new physics since any small deviations
from the Standard Model expectations could have a big impact. Both ATLAS and
CMS Collaborations have designed a comprehensive strategy to search for FCNC in
top quark physics both in the production and decay. The strategies followed by
both collaborations are here described, using data from collisions at the
LHC collected at a centre of mass energies of 7 and 8~TeV with integrated
luminosities ranging from to .Comment: Proceedings for the 9th International Workshop on Top Quark Physics
Olomouc, Czech Republic, September 19--23, 201
Improved-Accuracy Source Reconstructionon Arbitrary 3-D Surfaces
This paper presents a novel formulation of the source reconstruction problem on arbitrary three-dimensional (3-D) surfaces based on integral equations. Rigorous boundary integral field identities are employed to enforce that the two unknown currents are Maxwellian on the reconstruction surface; this leads to a dual integral-equation formulation, in contrast to the single-equation formulation found in literature. Numerical tests against reference currents allow a quantitative assessment of the improvements in accuracy afforded by the novel formulation, with important benefits in diagnostic application
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction
Moral rhetoric plays a fundamental role in how we perceive and interpret the
information we receive, greatly influencing our decision-making process.
Especially when it comes to controversial social and political issues, our
opinions and attitudes are hardly ever based on evidence alone. The Moral
Foundations Dictionary (MFD) was developed to operationalize moral values in
the text. In this study, we present MoralStrength, a lexicon of approximately
1,000 lemmas, obtained as an extension of the Moral Foundations Dictionary,
based on WordNet synsets. Moreover, for each lemma it provides with a
crowdsourced numeric assessment of Moral Valence, indicating the strength with
which a lemma is expressing the specific value. We evaluated the predictive
potentials of this moral lexicon, defining three utilization approaches of
increased complexity, ranging from lemmas' statistical properties to a deep
learning approach of word embeddings based on semantic similarity. Logistic
regression models trained on the features extracted from MoralStrength,
significantly outperformed the current state-of-the-art, reaching an F1-score
of 87.6% over the previous 62.4% (p-value<0.01), and an average F1-Score of
86.25% over six different datasets. Such findings pave the way for further
research, allowing for an in-depth understanding of moral narratives in text
for a wide range of social issues
Propuesta de Estrategia Metodológica Para el Desarrollo de Competencias en la Elaboración y Solución de Problemas de Química Para Estudiantes de Primer Semestre de Ingeniería
En la búsqueda de un trabajo colaborativo que impacte el quehacer educativo en el aula de clase, en especial la implementación de herramientas metodológicas no convencionales que promuevan el proceso de enseñanza-aprendizaje por medio del desarrollo y adquisición de las competencias: comunicativa y de trabajo en equipo, pensamiento sistémico y creativa. Se presenta una estrategia metodológica de sinergia e integridad con el proposito de desarrollar competencias en elaboración y solución de problemas en el curso de Química General e Inorgánica de primer semestre de ingeniería de la Universidad EIA. Partiendo de los argumentos presentados por los estudiantes sobre la dificultad en comprensión lectora e interpretación a la hora de resolver un ejercicio, se encontró que la escritura de la situación problema presentaba deficiencias estructurales de forma, manejo conceptual en Química e información inconexa, debido a la no contextualización de la situación problema. Al momento de replantear los problemas se observaron fallas en manejo de sinonimia y proformas. En la construcción de una nueva situación problema se presentaron dificultades en la estructura formal, aunque la contextualización y manejo conceptual mejoraron. También se identificó y llamó profundamente la atención fue la dificultad al momento de aplicar conceptos básicos de Aritmética y Álgebra.Palabras claves: competencias; aprendizaje significativo; química; icosaedro; roles.
Grammar in dictionaries revisited: the case of verbs with se
Este artículo es un estudio sobre el modo como nueve diccionarios monolingües de español, generales y didácticos, representan las construcciones con se en las entradas de 20 verbos del castellano. Estas construcciones son muy numerosas y resultan problemáticas tanto para el hablante nativo como para el no nativo. Los verbos analizados, de frecuencia media-alta y la mayoría muy polisémicos, permiten observar las interconexiones entre las distintas construcciones y entre los diversos significados del verbo. Los datos del análisis metalexicográfico se contrastan con un estudio de corpus de los mismos verbos. Como resultado, se observa que existe una gran variación en los datos que se ofrecen y en el modo de ofrecerlos, dentro de cada diccionario y entre diccionarios, por motivos que van desde la concepción teórica de la obra hasta la ejecución práctica. Ello lleva a concluir que es necesario avanzar en el modelo de diccionario que se está manejando, para que en estas obras de consulta puedan representarse de modo fiel, claro y exhaustivo fenómenos léxico-gramaticales como el de los verbos con se.This paper is a study about the way in which se structures are represented in 20 verb entries of nine dictionaries of Spanish language. There is a large number of these structures and they are problematic for native and non native speakers. Verbs of the analysis are middle-high frequency and, in the most part of the cases, very polysemous, and this allows to observe interconnections between the different se structures and the different meanings of each verb. Data of the lexicographic analysis are cross-checked with corpus analysis of the same units. As a result, it is observed that there is a large variety in the data which are offered in each dictionary and in the way they are offered, inter and intradictionary. The reasons range from the theoretical overall of each Project to practical performance. This leads to the conclusion that it is necessary to further progress in the dictionary model it is being handled, in order to offer lexico-grammatical phenomenon such as se verbs in an accurate, clear and exhaustive way
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