On a class of n-Leibniz deformations of the simple Filippov algebras

We study the problem of the infinitesimal deformations of all real, simple, finite-dimensional Filippov (or n-Lie) algebras, considered as a class of n-Leibniz algebras characterized by having an n-bracket skewsymmetric in its n-1 first arguments. We prove that all n>3 simple finite-dimensional Filippov algebras are rigid as n-Leibniz algebras of this class. This rigidity also holds for the Leibniz deformations of the semisimple n=2 Filippov (i.e., Lie) algebras. The n=3 simple FAs, however, admit a non-trivial one-parameter infinitesimal 3-Leibniz algebra deformation. We also show that the $n\geq 3$ simple Filippov algebras do not admit non-trivial central extensions as n-Leibniz algebras of the above class.Comment: 19 pages, 30 refs., no figures. Some text rearrangements for better clarity, misprints corrected. To appear in J. Math. Phy

Errors and Artefacts in Agent-Based Modelling

The objectives of this paper are to define and classify different types of errors and artefacts that can appear in the process of developing an agent-based model, and to propose activities aimed at avoiding them during the model construction and testing phases. To do this in a structured way, we review the main concepts of the process of developing such a model – establishing a general framework that summarises the process of designing, implementing, and using agent-based models. Within this framework we identify the various stages where different types of errors and artefacts may appear. Finally we propose activities that could be used to detect (and hence eliminate) each type of error or artefact.Verification, Replication, Artefact, Error, Agent-Based Modelling, Modelling Roles

Predicting the dynamic criteria of basketball players: The influence of the 'Big Five', job experience, and motivation

The present study analyses the prediction of the effectiveness and its fluctuations of 34 semi-professional basketball players throughout a sport season using the dynamic criteria as theoretical framework. The predictor variables (the Big Five personality factors, job experience and motivation) were obtained by means of self-report, while effectiveness was determined through objective data (statistics of matches). The predictive models were developed using generalized maximum entropy formulation, and results show that: (1) the relevance of the predictors of effectiveness is different each time they are analysed; (2) all variables except conscientiousness predict the fluctuations, and openness to experience is the most influential predictor; and (3) job experience is less relevant than personality and motivation. Finally, some recommendations are made regarding the choice of predictors for the selection of basketball players

Dynamic Criteria: a Longitudinal Analysis of Professional Basketball Players" Outcomes

This paper describes the fluctuations of temporal criteria dynamics in the context of professional sport. Specifically, we try to verify the underlying deterministic patterns in the outcomes of professional basketball players. We use a longitudinal approach based on the analysis of the outcomes of 94 basketball players over ten years, covering practically players" entire career development. Time series were analyzed with techniques derived from nonlinear dynamical systems theory. These techniques analyze the underlying patterns in outcomes without previous shape assumptions (linear or nonlinear). These techniques are capable of detecting an intermediate situation between randomness and determinism, called chaos. So they are very useful for the study of dynamic criteria in organizations. We have found most players (88.30%) have a deterministic pattern in their outcomes, and most cases are chaotic (81.92%). Players with chaotic patterns have higher outcomes than players with linear patterns. Moreover, players with power forward and center positions achieve better results than other players. The high number of chaotic patterns found suggests caution when appraising individual outcomes, when coaches try to find the appropriate combination of players to design a competitive team, and other personnel decisions. Management efforts must be made to assume this uncertainty

LinkedIn “Big Four”: Job Performance Validation in the ICT Sector.

Social networks websites, and specially the LinkedIn platform, have changed the landscape of recruitment and personnel selection to a unified organizational process. Thus, apart from using LinkedIn as a recruitment tool, professionals also use it to make evaluative inferences regarding the individual characteristics of the candidates (e.g., their personality). However, most of the research focused on LinkedIn has left aside the evidence about its validity for decision making in the work setting. In our study we analyze the criterion oriented validity of LinkedIn incumbents professional profiles (N = 615) in the information and communication technology (ICT) sector with some measures of job performance. The results show four major factors underlying LinkedIn profiles about professional experience, social capital, updating knowledge, and non-profesional information. These factors are significantly related to productivity, absenteeism, and the potential for professional development. These findings are discussed in light of their theoretical and practical implications.post-print322 K

Big four LinkedIn dimensions: signals of soft skills?

The use of LinkedIn as a tool in the recruitment and selection process has become routine in human resource management. However, a major drawback of such an approach is the lack of systematic and rigorous inferences on the psychological characteristics of the candidates. Calls have been made by scholars for further research on the psychometric guarantee of LinkedIn as a tool in the selection process. This study adopts signalling theory as a framework for exploring how LinkedIn profile information signals a candidate’s soft skills. Using a sample of 169 ITC professionals, through a cross-sectional design, soft skills were measured by means of a self-report questionnaire and LinkedIn profiles were assessed using rubrics for measuring the LinkedIn Big Four. Our findings demonstrate that LinkedIn Big Four Breadth of Professional Experience and Social Capital are valid signals of leadership, communication, problem solving, entrepreneurial and commercial thinking, planning and organization, and teamwork. We discuss the practical and theoretical implications of our result

EAWOP Small Group Meeting 2016 on Non-linear Dynamics in Work and Organizational Psychology: To Non-linear Modelling … and Beyond

EAWOP Small Group Meeting. 17th – 18th October 2016, University of Barcelona, Barcelona, SpainThe main objective of this meeting is to foster debate and knowledge sharing among scholars interested in going beyond the generalized linear modelling. Very often we find, as part of the limitation of empirical researches, statements describing that data could have been also analysed taking advantage of nonlinear methods. However, the application of non-linear models in our field is not as common as it could be.EAWOP / UB / PsicoSAO & Gobierno de España - Ministerio de Economía y Competitividad, project number PSI2013-44854-

“manual para el procesamiento de agua de inyección en un campo petrolero”

El presente trabajo trata acerca de resumir las operaciones más comunes realizadas en un campo petrolero para el análisis de aguas de rio en un proyecto de inyección de aguas. Entre los puntos que destacamos están los problemas mas comunes en el agua de rio como son la corrosión, la escala, la presencia de gases disueltos, presencia bacterial y los solidos disueltos. Además se hizo un pequeño estudio de las pruebas mas comunes antes de una inyección, con datos reales de un pozo del campo ecuatoriano, entre los puntos analizados tenemos las pruebas de compatibilidad y la prueba de Fall off test. Las cuales nos dan la máxima tasa de inyección a la cual se podrá someter el pozo inyector, con esta prueba podremos hallar de igual manera la presión de fractura. La importancia de realizar estos tipos de análisis son para evitar problemas futuros en las líneas de superficie, en el fondo del pozo o para la realización de futuras recuperaciones mejoradas con base a la presión de fondo de pozo y su presión de fractura. Para la realización del tratamiento del agua se recomienda un orden, el cual mejorara su calidad, los cuales son: Desbaste Desarenado Clarificación Filtración Des aeración Tratamiento Bacteriológico Tratamiento anticorrosivo Así mismo para realización de un adecuado tratamiento los parámetros a medir son: Cationes y aniones Ph Bacterias Solidos Suspendidos Turbidez Calidad de Agua Gases Disueltos Temperatura Conductividad

Evolución de la frecuencia anual de los días extremadamente fríos, en época fría, entre 1961 y 2003, en la meseta central española

Ponencia presentada en: VII Congreso de la Asociación Española de Climatología: clima, ciudad y ecosistemas, celebrado en Madrid entre el 24 y 26 de noviembre de 2010.[ES]Se establece el criterio de considerar un día como extremadamente frío cuando se cumpla, simultáneamente, que la anomalía de temperatura máxima del día sea menor que el valor del percentil P05 de la serie de anomalías diarias de temperatura máxima, y que el valor de la anomalía de temperatura mínima diaria sea a su vez menor que el percentil P05 de la serie de anomalías correspondiente Las series de anomalías diarias de temperaturas máxima y mínima se obtienen a partir de datos diarios de las temperaturas máxima y mínima, como diferencia entre el dato real y el dato medio correspondiente de cada día del año. La zona de estudio es la Meseta Central española. Los datos de temperaturas máxima y mínima diarias se corresponden a las observaciones realizadas en 14 observatorios (8 en la submeseta Norte y 6 en la submeseta Sur) durante el intervalo de tiempo 1961-2003. A partir de las series de anomalías de las temperaturas máxima y mínima diarias se construyen las series de anomalías diarias para la zona de estudio y cada una de las dos subzonas.[EN]We establish a criterion to consider a day as extremely cold when the maximum temperature anomaly and the minimum temperature anomaly are simultaneously smaller than the P05 percentile value of each data series. The anomalies daily series of maximum and minimum temperature are obtained from daily data of the maximum and minimum temperature, as the difference between real data and mean data corresponding to each day of the year. The zone studied is the Spanish Central Plateau. The maximum and minimum daily temperature data are obtained from the observations on 14 meteorological stations (8 in the north subplateu and 6 in south subplateau) during the period of time between 1961 and 2003.Este trabajo se ha realizado en el marco del proyecto de investigación CGL2009-08565 financiado por el MICINN