Challenges And Opportunities In Analytic-Predictive Environments Of Big Data And Natural Language Processing For Social Network Rating Systems

Social Media is playing a key role in today's society. Many of the events that are taking place in diverse human activities could be explained by the study of these data. Big Data is a relatively new parading in Computer Science that is gaining increasing interest by the scientific community. Big Data Predictive Analytics is a Big Data discipline that is mostly used to analyze what is in the huge amounts of data and then perform predictions based on such analysis using advanced mathematics and computing techniques. The study of Social Media Data involves disciplines like Natural Language Processing, by the integration of this area to academic studies, useful findings have been achieved. Social Network Rating Systems are online platforms that allow users to know about goods and services, the way in how users review and rate their experience is a field of evolving research. This paper presents a deep investigation in the state of the art of these areas to discover and analyze the current status of the research that has been developed so far by academics of diverse background

Novel approaches to determine residual stresses by ultramicroindentation techniques: application to sand blasted austenitic stainless steel

This research addresses the determination of residual stresses in sandblasted austenitic steel by ultramicroindentation techniques using a sharp indenter, whose sensitivity to residual stress effects is said to be inferior to that for spherical ones. We propose the introduction of an angular correction in the model of Wang et al. that relates variations in the maximum load to the presence of residual stresses. Likewise, the contribution to hardness of grain size refinement and work hardening, developed as a consequence of the severe plastic deformation during blasting, is determined to avoid overestimation of the residual stresses. Measurements were performed on polished cross sections along a length of several microns, thus obtaining a profile of the residual stresses. Results show a good agreement with those obtained by synchrotron radiation on the same specimens, which validates the method and demonstrates that microindentation using sharp indenters may be sensitive to the residual stress effect.Peer Reviewe

Does magnesium compromise the high temperature processability of novel biodegradable and bioresorbables PLLA/Mg composites?

This paper addresses the influence of magnesium on melting behaviour and thermal stability of novel bioresorbable PLLA/Mg composites as a way to investigate their processability by conventional techniques, which likely will require a melt process at high temperature to mould the material by using a compression, extrusion or injection stage. For this purpose, and to avoid any high temperature step before analysis, films of PLLA loaded with magnesium particles of different sizes and volume fraction were prepared by solvent casting. DSC, modulated DSC and thermogravimetry analysis demonstrate that although thermal stability of PLLA is reduced, the temperature window for processing the PLLA/Mg composites by conventional thermoplastic routes is wide enough. Moreover, magnesium particles do not alter the crystallization behaviour of the polymer from the melt, which allows further annealing treatments to optimize the crystallinity in terms of the required combination of mechanical properties and degradation rate.Peer Reviewe

Automatic detection of relationships between banking operations using machine learning

In their daily business, bank branches should register their operations with several systems in order to share information with other branches and to have a central repository of records. In this way, information can be analysed and processed according to different requisites: fraud detection, accounting or legal requirements. Within this context, there is increasing use of big data and artificial intelligence techniques to improve customer experience. Our research focuses on detecting matches between bank operation records by means of applied intelligence techniques in a big data environment and business intelligence analytics. The business analytics function allows relationships to be established and comparisons to be made between variables from the bank's daily business. Finally, the results obtained show that the framework is able to detect relationships between banking operation records, starting from not homogeneous information and taking into account the large volume of data involved in the process. (C) 2019 Elsevier Inc. All rights reserved.This work was supported by the Research Program of the Ministry of Economy and Competitiveness - Government of Spain, (DeepEMR project TIN2017-87548-C2-1-R)

Sub-Sync: automatic synchronization of subtitles in the broadcasting of true live programs in spanish

Individuals With Sensory Impairment (Hearing Or Visual) Encounter Serious Communication Barriers Within Society And The World Around Them. These Barriers Hinder The Communication Process And Make Access To Information An Obstacle They Must Overcome On A Daily Basis. In This Context, One Of The Most Common Complaints Made By The Television (Tv) Users With Sensory Impairment Is The Lack Of Synchronism Between Audio And Subtitles In Some Types Of Programs. In Addition, Synchronization Remains One Of The Most Significant Factors In Audience Perception Of Quality In Live-Originated Tv Subtitles For The Deaf And Hard Of Hearing. This Paper Introduces The Sub-Sync Framework Intended For Use In Automatic Synchronization Of Audio-Visual Contents And Subtitles, Taking Advantage Of Current Well-Known Techniques Used In Symbol Sequences Alignment. In This Particular Case, These Symbol Sequences Are The Subtitles Produced By The Broadcaster Subtitling System And The Word Flow Generated By An Automatic Speech Recognizing The Procedure. The Goal Of Sub-Sync Is To Address The Lack Of Synchronism That Occurs In The Subtitles When Produced During The Broadcast Of Live Tv Programs Or Other Programs That Have Some Improvised Parts. Furthermore, It Also Aims To Resolve The Problematic Interphase Of Synchronized And Unsynchronized Parts Of Mixed Type Programs. In Addition, The Framework Is Able To Synchronize The Subtitles Even When They Do Not Correspond Literally To The Original Audio And/Or The Audio Cannot Be Completely Transcribed By An Automatic Process. Sub-Sync Has Been Successfully Tested In Different Live Broadcasts, Including Mixed Programs, In Which The Synchronized Parts (Recorded, Scripted) Are Interspersed With Desynchronized (Improvised) Ones

Expectativas laborales de nuestros alumnos, ¿debemos adaptarnos?

Los contenidos de nuestros títulos se basan en los contenidos propuestos por directrices generales y desarrollados a partir de puntos de vistas de académicos y profesionales. Pero generalmente estos contenidos, y las decisiones adoptadas para llevarlos a cabo, no tienen en cuenta al alumnado, ni tampoco a sus expectativas. Esta discordancia puede ser la causa de una alta tasa de abandono, presente en las titulaciones técnicas, e incluso del descenso del número de matrículas. Intentando conocer mejor a nuestros alumnos, sus expectativas, así como las opiniones de algunos de nuestros egresados sobre la formación que recibieron, se realizó un pequeño estudio. Los resultados del mismo se muestran en este artículo. Entre los objetivos del estudio se encontraba el dar respuestas que ayuden a mejorar nuestros planes de estudios, dada la situación actual, para modificar y/o incluir nuevos contenidos que se correspondan con las expectativas del alumnado y, además, comprobar si estas expectativas coinciden con las de los empleadores e incluso con las necesidades de los actuales empleados.Desarrollado bajo los proyectos TIN2005-09405-C02-02 del MEC, 3PR05A016, PDT006A042 y PDT006A045 de la Junta de Extremadura

Automatic learning framework for pharmaceutical record matching

Pharmaceutical manufacturers need to analyse a vast number of products in their daily activities. Many times, the same product can be registered several times by different systems using different attributes, and these companies require accurate and quality information regarding their products since these products are drugs. The central hypothesis of this research work is that machine learning can be applied to this domain to efficiently merge different data sources and match the records related to the same product. No human is able to do this in a reasonable way because the number of records to be matched is extremely high. This article presents a framework for pharmaceutical record matching based on machine learning techniques in a big data environment. The proposed framework aims to explode the well-known rules for the matching of records from different databases for training machine learning models. Then the trained models are evaluated by predicting matches with records that do not follow these known rules. Finally, the production environment is simulated by generating a huge amount of combinations of records and predicting the matches. The obtained results show that, despite the good results obtained with the training datasets, in the production environment, the average accuracy of the best model is around 85%. That shows that matches which do not follow the known rules can be predicted and, considering that there is not a human way to process this amount of data, the results are promising.This work was supported by the Research Program of the Ministry of Economy and competitiveness, Government of Spain, through the DeepEMR Project, under Grant TIN2017-87548-C2-1-

Estrategias para el fortalecimiento de la disciplina positiva de los y las estudiantes de II año “A” de la Escuela Normal Mirna Mairena Guadamuz de la ciudad de Estelí en el I semestre del año 2016.

La presente investigación constituyó un gran aporte a la necesidad de fortalecer la disciplina positiva en futuros y futuras profesionales de la educación primaria, lo cual se logró mediante un amplio estudio de los procesos investigativos durante el desarrollo de los módulos correspondientes a investigación educativa, también fueron un punto fundamental las teorías de los diversos autores, los cuales enriquecieron nuestros conocimientos al establecer contactos con ellos y ellas mediante la lectura de sus obras tanto de forma virtual como física. Se construyeron una serie de instrumentos pertinentes al tema para diagnosticar la situación de los y las estudiantes de magisterio respecto a la disciplina mostrada por ellos y ellas en el desarrollo de las diferentes disciplinas así como la convivencia en los diferentes espacios escolares. El método experimental permitió realizar un proceso positivo, facilitando la integración de diversas estrategias enfocadas directamente en el fortalecimiento de la disciplina positiva, tratando de contrarrestar la disciplina negativa que fue el problema detectado

Estrategias para el fortalecimiento de la disciplina positiva

El presente artículo resume una investigación de carácter cualitativo, que fue realizada en el primer semestre del año 2016, con docentes y estudiantes finalistas de la ciudad de Estelí. El estudio pretendió fortalecer la disciplina positiva de los y las estudiantes, del III año “A” de magisterio de la Escuela Normal “Mirna Mairena Guadamuz. En el contexto de nuestra investigación-acción se pudo comprobar que los y las estudiantes poseen una visión positiva acerca de la influencia que ejercen los y las docentes en los procesos disciplinarios en el salón de clase, lo cual es un aspecto interesante y positivo, porque el maestro es el ejemplo a seguir, como investigadores consideramos como un elemento motivador esta visión ya que nos garantizó una ejecución efectiva de las estrategias previstas en el plan de acción

Thermoelectric assessment of laser peening induced effects on a metallic biomedical Ti6Al4V

Laser peening has recently emerged as a useful technique to overcome detrimental effects associated to another well-known surface modification processes such as shot peening or grit blasting used in the biomedical field. It is worth to notice that besides the primary residual stress effect, thermally induced effects might also cause subtle surface and subsurface microstructural changes that might influence corrosion resistance. Moreover, since maximum loads use to occur at the surface, they could also play a critical role in the fatigue strength. In this work, plates of Ti-6Al-4V alloy of 7 mm in thickness were modified by laser peening without using a sacrificial outer layer. Irradiation by a Q-switched Nd-YAG laser (9.4 ns pulse length) working in fundamental harmonic at 2.8 J/pulse and with water as confining medium was used. Laser pulses with a 1.5 mm diameter at an equivalent overlapping density (EOD) of 5000 cm-2 were applied. Attempts to analyze the global induced effects after laser peening were addressed by using the contacting and non-contacting thermoelectric power (TEP) techniques. It was demonstrated that the thermoelectric method is entirely insensitive to surface topography while it is uniquely sensitive to subtle variations in thermoelectric properties, which are associated with the different material effects induced by different surface modification treatments. These results indicate that the stress-dependence of the thermoelectric power in metals produces sufficient contrast to detect and quantitatively characterize regions under compressive residual stress based on their thermoelectric power contrast with respect to the surrounding intact material. However, further research is needed to better separate residual stress effects from secondary material effects, especially in the case of low-conductivity engineering materials like titanium alloys