Analysis of energy detection of unknown signals under Beckmann fading channels

(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.The Beckmann fading is a general multipath fading model which includes Rice, Hoyt and Rayleigh fading as particular cases. However, the generality of the Beckmann fading also implies a significant increased mathematical complexity. Thus, relatively few analytical results have been reported for this otherwise useful fading model. The performance of energy detection for multi-branch receivers operating under Beckmann fading is here studied, and the inherent analytical complexity is here circumvented by the derivation of a closed-form expression for the generalized moment generating function (MGF) of the received signal-to-noise ratio (SNR), which is a new and useful result, as it is key for evaluating the receiver operating characteristics. The impact of fading severity on the probability of missed detection is shown to be less critical as the SNR decreases. Monte Carlo simulations have been carried out in order to validate the obtained theoretical expressions.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Proyecto MINECO-FEDER TEC2013-42711-R y TEC2013-44442-P. Junta de Andalucía P11-TIC-7109

The Gravitational Pull Hypothesis and imperfective/perfective aspect in Catalan translation

[EN] This article aims to test the Gravitational Pull Hypothesis on the imperfective/perfective aspect distinction in the language pairs English-Catalan and French-Catalan. It draws on the corresponding corpora in COVALT. The GPH posits three cognitive causes of translational effects: source or target language salience and connectivity. Different configurations of these causes, or factors, are expected to result in over- or under-representation of target language features. The imperfective/perfective aspect distinction was chosen as a testing ground for the GPH because it is morphologically marked in Catalan and French but not in English. That may give rise to different configurations of factors and, therefore, to different translational effects. It is predicted that the preterite, which conveys perfective aspect in Catalan, will be over-represented in Catalan translations from English as compared to translations from French and to Catalan non-translations. On the other hand, the imperfect, which conveys imperfective aspect, will be under-represented. Results confirm these predictions. For translations from French, both adherence to the patterns observed in Catalan non-translations and over-representation of the preterite are possible outcomes. Results lend support to the second alternative & horbar; over-representation of the preterite. These results highlight the importance of relying on frequency and other sources of evidence when formulating hypotheses in the framework of the GPH. Research from the field of second language acquisition proved particularly significant in this respect.PID2019-103953GB-I00 funded by MCIN/AEI/ 10.13039/501100011033.Marco Borillo, J.; Peña-Martinez, G. (2023). The Gravitational Pull Hypothesis and imperfective/perfective aspect in Catalan translation. Languages in Contrast. 23(2):226-251. https://doi.org/10.1075/lic.00030.bor22625123

Conocimientos de la mecanica corporal de los alumnos de la Facultad de Enfermería y Obstetricia

Considerando a la salud como una medida primordial para lograr el desarrollo económico y social que propicie el bienestar integral de cada individuo, así como de la sociedad en su conjunto, se requiere de un ejercicio interprofesional en donde cada profesional del área de la salud posee la mejor formación educativa en la que se han desarrollado tanto competencias para la búsqueda y aplicación del conocimiento, como actitudes de compromiso profesional y social (Reyes, 2015). La enfermería como profesión asumió la responsabilidad de cuidar al individuo sano o enfermo, y en su formación, ésta respondió a las diferentes épocas a las formas en que se ha concebido el proceso salud-enfermedad, a los avances de la ciencia y la tecnología, y de la misma forma al desarrollo de la planeación curricular

Introductory Chapter: Narrative Transmedia as a New Social and Cultural Phenomenon

Narrative is a genre that is incorporated into the cognitive form of the man who understands his own identity through the stories he keeps in his memory. Narrative is also part of how man is grouped socially. It also ends up giving an interpretation of historical memory about the events that identify it as a group. Narrative is a primordial way of ethical and aesthetic learning. Narrative is one of the ways in which man tries to understand the world and survive individually and in groups. That is why the ways in which the narrative appears change, but the attraction for it is constant

Automated depression detection in text data: leveraging lexical features, phonesthemes embedding, and roberta transformer model

Indexed keywords SciVal Topics Metrics Funding details Abstract Depression is a prevalent mental disorder characterized by persistent sadness, lack of interest, and diminished pleasure. Detecting depression is crucial for timely intervention and support. In this paper, we address the task of depression detection in text data, focusing on binary classification and regression. We present our approach, leveraging a dataset comprising labeled messages from Telegram groups related to mental disorders. We begin by exploring the existing literature on depression detection, highlighting the challenges faced and the methods employed. Our approach involves data pre-processing, lexical feature extraction, phonesthemes embedding, and using the RoBERTa transformer model. We achieved promising results in the training phase through rigorous experimentation and model refinement. However, we encountered challenges upon evaluating our approach in the MentalRiskEs evaluation. We identified areas for improvement, particularly in latency and speed of detection for real-time monitoring of depression-related risks. This research contributes to the ongoing efforts in automating depression detection and provides insights into the potential of text analysis techniques for mental health assessment. We remain committed to further enhancing our methodology and advancing the field to improve the well-being of individuals affected by depression.Universidad Tecnológica de Bolíva

Análisis de los cambios de usos del suelo y de la cubierta vegetal en un municipio de la montaña media mediterránea: el caso de Faraján (Málaga, España)

La montaña media mediterránea ha sido históricamente un espacio muy transformado por la acción humana, lo cual se constata en la actualidad con la presencia de un mosaico de diferentes tipos de usos del suelo, haciendo que ésta presente una dinámica medio ambiental y socioeconómica muy compleja. El siguiente trabajo tiene como objetivo analizar las principales transformaciones en los aprovechamientos y en la cubierta vegetal de los últimos sesenta años en el municipio de Faraján (Málaga). Para ello, se lleva a cabo la fotointerpretación de ortoimágenes e imágenes aéreas en combinación con fuentes bibliográficas. Como resultados preliminares se pueden indicar, por un lado, el incremento de la superficie cultivada de castañar, y por otro, el aumento de la cubierta vegetal natural en detrimento de otros usos. Dichos cambios conllevan una serie de consecuencias en aspectos tan importantes como la erosión y la disponibilidad de recursos hídricos, tan necesarios de tener en cuenta a la hora de implementar una gestión territorial más acorde con la evaluación histórica de los usos del suelo y el marco actual de cambio climático.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Simulating the behavior of the human brain on GPUS

The simulation of the behavior of the Human Brain is one of the most important challenges in computing today. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulations need, using the current technology. In this sense, this work is focused on one of the main steps of such simulation, which consists of computing the Voltage on neurons’ morphology. This is carried out using the Hines Algorithm and, although this algorithm is the optimum method in terms of number of operations, it is in need of non-trivial modifications to be efficiently parallelized on GPUs. We proposed several optimizations to accelerate this algorithm on GPU-based architectures, exploring the limitations of both, method and architecture, to be able to solve efficiently a high number of Hines systems (neurons). Each of the optimizations are deeply analyzed and described. Two different approaches are studied, one for mono-morphology simulations (batch of neurons with the same shape) and one for multi-morphology simulations (batch of neurons where every neuron has a different shape). In mono-morphology simulations we obtain a good performance using just a single kernel to compute all the neurons. However this turns out to be inefficient on multi-morphology simulations. Unlike the previous scenario, in multi-morphology simulations a much more complex implementation is necessary to obtain a good performance. In this case, we must execute more than one single GPU kernel. In every execution (kernel call) one specific part of the batch of the neurons is solved. These parts can be seen as multiple and independent tridiagonal systems. Although the present paper is focused on the simulation of the behavior of the Human Brain, some of these techniques, in particular those related to the solving of tridiagonal systems, can be also used for multiple oil and gas simulations. Our studies have proven that the optimizations proposed in the present work can achieve high performance on those computations with a high number of neurons, being our GPU implementations about 4× and 8× faster than the OpenMP multicore implementation (16 cores), using one and two NVIDIA K80 GPUs respectively. Also, it is important to highlight that these optimizations can continue scaling, even when dealing with a very high number of neurons.This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the project Computación de Altas Prestaciones VII (TIN2015-65316-P), the Departament d’Innovació, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programació i Entorns d’Execució Parallels (2014-SGR-1051). We thank the support of NVIDIA through the BSC/UPC NVIDIA GPU Center of Excellence, and the European Union’s Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement No. 749516.Peer ReviewedPostprint (published version

Waste and recycled textiles as reinforcements of building materials

Se describe el panorama del impacto provocado por las fibras textiles provenientes de los pantalones de mezclilla, así como sus diferentes usos una vez recicladas, en particular en los materiales de construcción.Currently the use of composite materials in the construction areas has had a great impact on the society. Mainly, those related with sustainability and environment aspects. Daily proposals aimed at overcoming the properties of traditional materials arise; which includes emergent materials either from waste or recycled products. One of them is related to textile materials, which including fibers such as wool, hemp, linen and cotton. In the last decade, special attention has been focused on the used clothes, which represent a source of raw materials environmentally responsible and economically profitable. Textile materials are discarded daily around the world, representing approximately 1.5% of the generated waste. Blue-jeans are the most used clothing in the world, they are elaborated by one of the most commonly used natural textile fibers, cotton. Textile materials have been reused in different applications, for example, in the production of poor quality wires, crushed to manufacture insulating materials noise and temperature, and as fillers or reinforcements of concrete. In this chapter, different topics are describing, including: a) Environmental impact of textile waste a result of massive consumption of clothing; b) Recycling and resuse of textile waste, and c) Waste and recycled textile materials used as building materials