Search results for "HBO"
showing 10 items of 311 documents
Properties of Generalized Polynomial Spaces in Three Variables
2009
Multivariate interpolation is a topic which often appears in practical modeling problems. Different type of spaces of functions are used for solving interpolation problems. When the interpolation conditions are of different kind, by example, spacial and temporal, one possibility for modeling the problem is to use a generalize degree, in which the monomials exponents are weighted with a weight vector with integer components. In order to use such a generalize polynomial space as interpolation space, it is necessary to know the dimension and a basis of it. The aim of this article is to study and prove many properties of the generalize polynomial spaces in three variables.
Perceived barriers to active commuting to school: reliability and validity of a scale
2016
Resumen Objetivo: Examinar la fiabilidad y la validez de una escala para evaluar las barreras percibidas en el desplazamiento activo al centro escolar en jóvenes españoles. Método: La validez de la escala fue evaluada en una muestra de 465 adolescentes (14-18 años de edad) mediante un análisis factorial confirmatorio y a través de la asociación con el transporte activo autorreportado. Una submuestra completó la escala dos veces, con una separación de una semana, a fin de evaluar su fiabilidad. Resultados: Los resultados mostraron que la escala tenía índices de ajuste satisfactorios con dos factores. Un factor incluyó los ítems relativos a ambiente y seguridad (α = 0,72), y otro los ítems so…
Barreras percibidas en el desplazamiento activo al centro educativo: fiabilidad y validez de una escala
2016
Resumen: Objetivo: Examinar la fiabilidad y la validez de una escala para evaluar las barreras percibidas en el desplazamiento activo al centro escolar en jóvenes españoles. Método: La validez de la escala fue evaluada en una muestra de 465 adolescentes (14-18 años de edad) mediante un análisis factorial confirmatorio y a través de la asociación con el transporte activo autorreportado. Una submuestra completó la escala dos veces, con una separación de una semana, a fin de evaluar su fiabilidad. Resultados: Los resultados mostraron que la escala tenía índices de ajuste satisfactorios con dos factores. Un factor incluyó los ítems relativos a ambiente y seguridad (α = 0,72), y otro los ítems s…
Mapping child maltreatment risk: a 12-year spatio-temporal analysis of neighborhood influences.
2017
Abstract Background ‘Place’ matters in understanding prevalence variations and inequalities in child maltreatment risk. However, most studies examining ecological variations in child maltreatment risk fail to take into account the implications of the spatial and temporal dimensions of neighborhoods. In this study, we conduct a high-resolution small-area study to analyze the influence of neighborhood characteristics on the spatio-temporal epidemiology of child maltreatment risk. Methods We conducted a 12-year (2004–2015) small-area Bayesian spatio-temporal epidemiological study with all families with child maltreatment protection measures in the city of Valencia, Spain. As neighborhood units…
Data mining, dashboards and statistics: a powerful framework for the chemical design of molecular nanomagnets
2021
Abstract Three decades of intensive research in molecular nanomagnets have brought the magnetic memory in molecules from liquid helium to liquid nitrogen temperature. The enhancement of this operational temperature relies on a wise choice of the magnetic ion and the coordination environment. However, serendipity, oversimplified theories and chemical intuition have played the main role. In order to establish a powerful framework for statistically driven chemical design, we collected chemical and physical data for lanthanide-based nanomagnets to create a catalogue of over 1400 published experiments, developed an interactive dashboard (SIMDAVIS) to visualise the dataset, and applied inferentia…
Optimal Pruned K-Nearest Neighbors: OP-KNN Application to Financial Modeling
2008
The paper proposes a methodology called OP-KNN, which builds a one hidden-layer feed forward neural network, using nearest neighbors neurons with extremely small computational time. The main strategy is to select the most relevant variables beforehand, then to build the model using KNN kernels. Multi-response sparse regression (MRSR) is used as the second step in order to rank each k-th nearest neighbor and finally as a third step leave-one-out estimation is used to select the number of neighbors and to estimate the generalization performances. This new methodology is tested on a toy example and is applied to financial modeling.
Temperature interpolation by local information ; the example of France
2010
International audience; Methods of interpolation, whether based on regressions or on kriging, are global methods in which all the available data for a given study area are used. But the quality of results is affected when the study area is spatially very heterogeneous. To overcome this difficulty, a method of local interpolation is proposed and tested here with temperature in France. Starting from a set of weather stations spread across the country and digitized as 250 m-sided cells, the method consists in modelling local spatial variations in temperature by considering each point of the grid and the n weather stations that are its nearest neighbours. The procedure entails a series of steps…
Security in Niamey : an anthropological perspective on policing and an act of terrorism in Niger
2012
ABSTRACTThe abduction of two Frenchmen in January 2011 in Niamey's supposedly most secure neighbourhood has led many to question the functioning of the city's security apparatus. This paper analyses Niamey's security landscape, initially from an historical and then from a spatial perspective. It argues that for a comprehensive analysis of security, we must first decentre our perspective on security construction, and thus take informal non-organised modes of policing just as seriously as policing by state and vigilante organisations; and second, take into account the inseparability of sociality and security, a fragile balance of trust and acceptable risk. In conclusion I argue that this focu…
Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability.
2005
A nonlinear prediction method for investigating the dynamic interdependence between short length time series is presented. The method is a generalization to bivariate prediction of the univariate approach based on nearest neighbor local linear approximation. Given the input and output series x and y, the relationship between a pattern of samples of x and a synchronous sample of y was approximated with a linear polynomial whose coefficients were estimated from an equation system including the nearest neighbor patterns in x and the corresponding samples in y. To avoid overfitting and waste of data, the training and testing stages of the prediction were designed through a specific out-of-sampl…
Uniqueness of diffusion on domains with rough boundaries
2016
Let $\Omega$ be a domain in $\mathbf R^d$ and $h(\varphi)=\sum^d_{k,l=1}(\partial_k\varphi, c_{kl}\partial_l\varphi)$ a quadratic form on $L_2(\Omega)$ with domain $C_c^\infty(\Omega)$ where the $c_{kl}$ are real symmetric $L_\infty(\Omega)$-functions with $C(x)=(c_{kl}(x))>0$ for almost all $x\in \Omega$. Further assume there are $a, \delta>0$ such that $a^{-1}d_\Gamma^{\delta}\,I\le C\le a\,d_\Gamma^{\delta}\,I$ for $d_\Gamma\le 1$ where $d_\Gamma$ is the Euclidean distance to the boundary $\Gamma$ of $\Omega$. We assume that $\Gamma$ is Ahlfors $s$-regular and if $s$, the Hausdorff dimension of $\Gamma$, is larger or equal to $d-1$ we also assume a mild uniformity property for $\Omega$ i…