Aggression, and some related psychological constructs (Anger, Hostility, and Impulsivity): comments from a research project

The purpose of the present study was: first, to offer a few theoretical considerations on the concept of human aggression and its main types; and second, to analyse the relationship between those types of aggression and other related psychological constructs, such as anger, hostility, and impulsivity, summarizing the main empirical results of our research in progress. In order to assess their eventual correlations, several self-report techniques were compared: a) AQ, used to measure several kinds of aggression, anger, and hostility; b) CAMA, a questionnaire already used in a variety of cultures, for measuring attitudes toward interpersonal aggression in different instrumental and hostile situations; c) ASQ, an instrument for measuring experienced anger and its expression in assertive or aggressive ways; and d) BIS, used to prove three impulsiveness sub-traits: motor, attentional, and non-planning impulsiveness. The different definitions of aggression may be grouped according to whether the primary goal is distress or harm, focusing primarily on the objective infliction of harm, or on the subjective intention of harming. Most classifications in the literature show two kinds of aggression, even if different names are used: Hostile Aggression (among other names it is also known as 'reactive, impulsive, or affective') is an act primarily oriented to hurt another individual; and Instrumental Aggression (also known as 'proactive, premeditated, or predative') is a means or tool for solving problems or for obtaining a variety of objectives. As predicted, there was a positive correlation between experience and expression of anger. Anger involved physiological arousal and prepared for aggression. Anger and impulsiveness were also positively correlated with hostile aggression, but not with instrumental aggression. In the case of impulsiveness, non-planning impulsiveness was positively correlated with some situations related to hostile aggression, such as emotional agitation or lack of communication, but not with instrumental one

Un modelo dicotómico de agresión y su evaluación mediante dos autoinformes: el CAMA y el RPQ

El presente trabajo muestra la complejidad inherente a la clasificación de la agresión, no sólo porque este constructo ya en sí mismo es ambiguo y presenta múltiples facetas y matices, sino porque los investigadores y especialistas en la materia utilizan sus propios conceptos y tipología de la agresión que podrían estar haciendo referencia a la misma realidad epistemológica aunque denominándola de distinta forma. Con esta intención, se describen los principales tipos de agresión que los especialistas en esta disciplina han ido ofreciendo a la comunidad científica a lo largo de las últimas décadas. A partir del reconocimiento de esta complejidad, se ofrece un modelo dicotómico de la agresión basado fundamentalmente en el análisis de la motivación básica del agresor (Raine et al., 2006). Según este enfoque, las diferentes conductas agresivas que se manifiestan en los diferentes focos de expresión, podrían polarizarse en dos estructuras básicas: reactiva y proactiva. Al respecto, se añaden los correlatos psicopato(bio)lógicos que apoyan estas dos dimensiones, así como también la utilidad de su valoración mediante dos auto-informes (CAMA y RPQ) de cara al estudio de la motivación “oculta” del agresor. Finalmente, planteamos la utilidad de este modelo teórico para analizar la motivación del comportamiento agresivo a través de diferentes instrumentos de auto-informe.[ABSTRACT]The present paper shows the inherent complexity of classifying aggression not only because this construct is already ambiguous in itself and presents various dimensions and shades, but also because researchers and specialists in this field use their own concepts and typology of aggression which could make reference to the some epistemological reality but naming it in a different way. With this intention in mind, we describe the different types of aggression that specialists in this field have been offering to the scientific community during the last decades. Starting with the awareness of this complexity, we offer a dichotomic model of aggression fundamentally based on the analysis of the basic motivation of the aggressor. According to this perspective, the aggressive behaviours manifested in the different community settings, could polarize in two basic structures: reactive and proactive. To this, we sum the psychopatho(bio)logical correlates which support these two dimensions, as well as the utility of the self-reports in order to analyse the hidden motivation of the aggressor using two different inventories: (CAMA y RPQ). Finally, we question the usefulness of this theoretical model to shed light on the motivation of aggressive behavior through different self-report instruments

The orchestration of Machine Learning frameworks with datastreams and GPU acceleration in Kafka-ML: A deep-learning performance comparative

Machine Learning (ML) applications need large volumes of data to train their modelsso that they can make high-quality predictions. Given digital revolution enablers suchas the Internet of Things (IoT) and the Industry 4.0, this information is generated inlarge quantities in terms of continuous data streams and not in terms of staticdatasets as it is the case with most AI (Artificial Intelligence) frameworks. Kafka-ML isa novel open-source framework that allows the complete management of ML/AIpipelines through data streams. In this article, we present new features for the Kafka-ML framework, such as the support for the well-known ML/AI framework PyTorch,as well as for GPU acceleration at different points along the pipeline. This pipelinewill be described by taking a real Industry 4.0 use case in the Petrochemical Industry.Finally, a comprehensive evaluation with state-of-the-art deep learning models willbe carried out to demonstrate the feasibility of the platform.Funding for open access charge: Universidad de Málaga / CBUA Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía; European Commission; Ministerio de Ciencia, Innovación y Universidades. This work is funded by the Spanish projects RT2018-099777-B-100 (‘rFOG: Improving Latency and Reliability of Offloaded Computation to theFOG for Critical Services’), PY20_00788 (‘IntegraDos: Providing Real-Time Services for the Internet of Things through Cloud Sensor Integration’),TSI-063000-2021-116 (‘Digital vertical twins for B5G/6G networks’), TED2021-130167B-C33 (‘GEDIER: Application of Digital Twins to moresustainable irrigated farms’), and CPP2021-009032(‘ZeroVision: Enabling Zero impact wastewater treatment through Computer Vision and Fed-erated AI’); and the European project LIFEWATCH-2019-11-UMA-01-BD (‘EnBiC2-Lab - Environmental and Biodiversity Climate Change Lab’).This project has received funding from the European Union's Horizon Europe research and innovation proframme under the Marie Skłodowska-Curie grant agreement No 101086218. Funding for open access charge: Universidad de Málaga / CBUA

Correlation between the latent heats and cohesive energies of metal clusters

Producción CientíficaDissociation energies have been determined for Al_n^+ clusters (n = 25–83) using a new experimental approach that takes into account the latent heat of melting. According to the arguments presented here, the cohesive energies of the solidlike clusters are made up of contributions from the dissociation energies of the liquidlike clusters and the latent heats for melting. The size-dependent variations in the measured dissociation energies of the liquidlike clusters are small and the variations in the cohesive energies of solidlike clusters result almost entirely from variations in the latent heats for melting. To compare with the measured cohesive energies, density-functional theory has been used to search for the global minimum energy structures. Four groups of low energy structures were found: Distorted decahedral fragments, fcc fragments, fcc fragments with stacking faults, and “disordered.” For most cluster sizes, the measured and calculated cohesive energies are strongly correlated. The calculations show that the variations in the cohesive energies (and the latent heats) result from a combination of geometric and electronic shell effects. For some clusters an electronic shell closing is responsible for the enhanced cohesive energy and latent heat (e.g., n = 37), while for others (e.g., n = 44) a structural shell closing is the cause

Electronic effects on melting: Comparison of aluminum cluster anions and cations

Producción CientíficaHeat capacities have been measured as a function of temperature for aluminum cluster anions with 35–70 atoms. Melting temperatures and latent heats are determined from peaks in the heat capacities; cohesive energies are obtained for solid clusters from the latent heats and dissociation energies determined for liquid clusters. The melting temperatures, latent heats, and cohesive energies for the aluminum cluster anions are compared to previous measurements for the corresponding cations. Density functional theory calculations have been performed to identify the global minimum energy geometries for the cluster anions. The lowest energy geometries fall into four main families: distorted decahedral fragments, fcc fragments, fcc fragments with stacking faults, and “disordered” roughly spherical structures. The comparison of the cohesive energies for the lowest energy geometries with the measured values allows us to interpret the size variation in the latent heats. Both geometric and electronic shell closings contribute to the variations in the cohesive energies (and latent heats), but structural changes appear to be mainly responsible for the large variations in the melting temperatures with cluster size. The significant charge dependence of the latent heats found for some cluster sizes indicates that the electronic structure can change substantially when the cluster melts

Preparación del μClinux para “Software Defined Radio” con BF537

The purpose of this study is to prepare the Blackfin STAMP board with a BF537 core to work as a SDR system (Software Defined Radio System) under a GNU-Linux platform. Due to all the documentation and support found in the web and the release under GPL (General Public License), the distribution used to develop SDR is μClinux. This work explains what is needed to build a SDR system in the Blackfin board, the inconveniences found in the actual μClinux distribution and all the workarounds and approaches made to start porting the software needed to the operating system. To make it work, some codes of the linux kernel, such as device drivers, had to be reviewed so they could adjust to the application demands. In short, this work explains what has been modified in the μClinux distribution and why such changes are done to make SDR possible in the Blackfin board

A feature based approach on behavior analysis of the users on twitter: A case study of AusOpen tennis championship

[EN] Due to the advancement of technology, and the promotion of smart- phones, using social media got more and more popular. Nowadays, it has become an undeniable part of people’s lives. So, they will create a flow of information by the content they share every single moment. Analyzing this information helps us to have a better understanding of users, their needs, their tendencies and classify them into different groups based on their behavior. These behaviors are various and due to some extracted features, it is possible to categorize the users into different categories. In this paper, we are going to focus on Twitter users and the AusOpen Tennis championship event as a case study. We define the attributions describing each class and then extract data and identify features that are more correlated to each type of user and then label user type based on the reasoning model. The results contain 4 groups of users; Verified accounts, Influencers, Regular profiles, and Fake profiles

Estudio de prefactibilidad para la instalación de una planta para la producción de café filtrante

El presente estudio tiene como objetivo plantear una solución innovadora y rentable frente a la problemática que involucra la experiencia de consumo de café pasado. En Lima Metropolitana, el consumo de café equivale a 6 682 toneladas anuales de las cuales se estima cubrir 58 toneladas con una inversión inicial propia de aproximadamente $332 823 y un retorno de$ 1,82 por cada dólar invertido en el proyecto. En el Capítulo I, se describen los aspectos generales de la investigación en los cuales se buscará plantear una hipótesis sobre la problemática de mercado y justificar brevemente la viabilidad del proyecto. En el Capítulo II, se realizará un estudio de mercado, el cual se determina la demanda del proyecto, la que será en su último año 60.19 toneladas de café procesado y, además, analizar las diferentes variables del entorno que puedan afectar la implementación y funcionamiento del negocio, ya sea precios de insumos o demanda de mercado. También se buscará analizar estrategias de comercialización y precios

Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution

Integrating the plasma core performance with an edge and scrape-off layer (SOL) that leads to tolerable heat and particle loads on the wall is a major challenge. The new European medium size tokamak task force (EU-MST) coordinates research on ASDEX Upgrade (AUG), MAST and TCV. This multi-machine approach within EU-MST, covering a wide parameter range, is instrumental to progress in the field, as ITER and DEMO core/pedestal and SOL parameters are not achievable simultaneously in present day devices. A two prong approach is adopted. On the one hand, scenarios with tolerable transient heat and particle loads, including active edge localised mode (ELM) control are developed. On the other hand, divertor solutions including advanced magnetic configurations are studied. Considerable progress has been made on both approaches, in particular in the fields of: ELM control with resonant magnetic perturbations (RMP), small ELM regimes, detachment onset and control, as well as filamentary scrape-off-layer transport. For example full ELM suppression has now been achieved on AUG at low collisionality with n = 2 RMP maintaining good confinement HH(98,y2) 0.95. Advances have been made with respect to detachment onset and control. Studies in advanced divertor configurations (Snowflake, Super-X and X-point target divertor) shed new light on SOL physics. Cross field filamentary transport has been characterised in a wide parameter regime on AUG, MAST and TCV progressing the theoretical and experimental understanding crucial for predicting first wall loads in ITER and DEMO. Conditions in the SOL also play a crucial role for ELM stability and access to small ELM regimes.European Commission (EUROfusion 633053

Assessment of urban parameterizations in the WRF model for air quality modelling purposes in Madrid (Spain)

This study aims to assess the performance or multi-layer canopy parameterizations implemented in the mesoscale WRF model in order to understand their potential contribution to improve the description of energy fluxes and wind fields in the Madrid city. It was found that the Building Energy Model (BEP+BEM) parameterization yielded better results than the bulk standard scheme implemented in the Noah LSM, but very close to those of the Building Energy Parameterization (BEP). The later was deemed as the best option since data requirements and CPU time were smaller. Two annual runs were made to feed the CMAQ chemical-transport model to assess the impact of this feature in routinely air quality modelling activities