Good practices, innovation or scientific research in education? A conceptual reflection

In this work a conceptual delimitation of "good teaching practices", "educational innovation" and "educational research" is proposed, based on both the experimental design and the quality of the evidence provided by these studies. This terminological clarification should help teachers to recognize the scientific research specific to pedagogy, in order to distinguish them from studies that do not have enough elements to be considered fully scientific although, occasionally, they may work for some teachers. Thus, in a near future, an educational science should be established in which teachers can trust.Peer ReviewedPostprint (published version

The infochemical core

Vocalizations, and less often gestures, have been the object of linguistic research for decades. However, the development of a general theory of communication with human language as a particular case requires a clear understanding of the organization of communication through other means. Infochemicals are chemical compounds that carry information and are employed by small organisms that cannot emit acoustic signals of an optimal frequency to achieve successful communication. Here, we investigate the distribution of infochemicals across species when they are ranked by their degree or the number of species with which they are associated (because they produce them or are sensitive to them). We evaluate the quality of the fit of different functions to the dependency between degree and rank by means of a penalty for the number of parameters of the function. Surprisingly, a double Zipf (a Zipf distribution with two regimes, each with a different exponent) is the model yielding the best fit although it is the function with the largest number of parameters. This suggests that the worldwide repertoire of infochemicals contains a core which is shared by many species and is reminiscent of the core vocabularies found for human language in dictionaries or large corpora.Peer ReviewedPostprint (author's final draft

Similarity networks for classification: a case study in the Horse Colic problem

This paper develops a two-layer neural network in which the neuron model computes a user-defined similarity function between inputs and weights. The neuron transfer function is formed by composition of an adapted logistic function with the mean of the partial input-weight similarities. The resulting neuron model is capable of dealing directly with variables of potentially different nature (continuous, fuzzy, ordinal, categorical). There is also provision for missing values. The network is trained using a two-stage procedure very similar to that used to train a radial basis function (RBF) neural network. The network is compared to two types of RBF networks in a non-trivial dataset: the Horse Colic problem, taken as a case study and analyzed in detail.Postprint (published version

Strengthening financial innovations in energy supply projects for rural exploitations in developing countries

Sustainable energy supply models are needed to achieve the Millennium Development Goals established by the United Nations for 2015. On the other hand, sustainability of agricultural exploitations in rural areas is a pre-requisite to achieve the objective of halving the proportion of people that lives in poverty, and productivity of such exploitations is closely related to energy supply. This article analyses the results of a survey of experts, suggesting that there may be good chances to innovate in the financing of agricultural electrification projects in developing countries. The experts’ opinion suggests that new sources of financing could be mobilised and oriented towards the promotion of sustainable initiatives in developing countries. Financial mechanisms should be adapted to the characteristics of decentralised systems of energy production with renewable sources or with mixed technologies, in order to overcome the barriers derived from the high initial price of the applications, and to the specific conditions of the agricultural sector. The participation of funds from the beneficiaries and the incorporation of the beneficiaries in the initial phases of project organisation would allow for the development of productive solutions with a higher potential to generate resources and to articulate sustainable proposals. r 2007 Elsevier Ltd. All rights reserved

An R Package for a General Class of Inverse Gaussian Distributions

The inverse Gaussian distribution is a positively skewed probability model that has received great attention in the last 20 years. Recently, a family that generalizes this model called inverse Gaussian type distributions has been developed. The new R package named ig has been designed to analyze data from inverse Gaussian type distributions. This package contains basic probabilistic functions, lifetime indicators and a random number generator from this model. Also, parameter estimates and diagnostics analysis can be obtained using likelihood methods by means of this package. In addition, goodness-of-fit methods are implemented in order to detect the suitability of the model to the data. The capabilities and features of the ig package are illustrated using simulated and real data sets. Furthermore, some new results related to the inverse Gaussian type distribution are also obtained. Moreover, a simulation study is conducted for evaluating the estimation method implemented in the ig package.

A theoretical study of transition probabilities and lifetimes for the Sn III: core polarization effects

Data on atomic properties are not only relevant to spectroscopy, but these values are of interest in a variety of other fields in physics and technology. In this work we present a completer study of Sn III transition probabilities and lifetimes of spectral lines arising from 4d105sns (n=6-9) and 4d105snp (n=5-6) configurations These values were obtained in intermediate coupling (IC) and using relativistic Hartree-Fock calculations including core-polarization effects following the suggestions of Migdalek et al. [1]. We use for the IC calculations the standard method of least square fitting from experimental energy levels by means of Cowan [2] computer code. For the calculations we used all the experimental levels present in the Moore table. Transition probabilities and lifetimes are generally in good agreement with the experimental data [3, 4, 5]. In the next Table we present some values as example

Android Malware Characterization using Metadata and Machine Learning Techniques

Android Malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and meta-data to identify patterns in malware applications. Our experiments show that: (1) the permissions used by an application offer only moderate performance results; (2) other features publicly available at Android Markets are more relevant in detecting malware, such as the application developer and certificate issuer, and (3) compact and efficient classifiers can be constructed for the early detection of malware applications prior to code inspection or sandboxing.Comment: 4 figures, 2 tables and 8 page

Oversampling in shift-invariant spaces with a rational sampling period

8 pages, no figures.It is well known that, under appropriate hypotheses, a sampling formula allows us to recover any function in a principal shift-invariant space from its samples taken with sampling period one. Whenever the generator of the shift-invariant space satisfies the Strang-Fix conditions of order r, this formula also provides an approximation scheme of order r valid for smooth functions. In this paper we obtain sampling formulas sharing the same features by using a rational sampling period less than one. With the use of this oversampling technique, there is not one but an infinite number of sampling formulas. Whenever the generator has compact support, among these formulas it is possible to find one whose associated reconstruction functions have also compact support.This work has been supported by the Grant MTM2009-08345 from the D.G.I. of the Spanish Ministerio de Ciencia y Tecnología