The military in five biopics of democracy

Actas del Segundo Congreso Internacional de Historia y Cine organizado por el Instituto de Cultura y Tecnología Miguel de Unamuno y celebrado del 9 al 11 de septiembre de 2010 en la Universidad Carlos III de MadridEl género del biopic cinematográfico, especialmente sobre figuras públicas, se presta de manera natural a su instrumentalización política. El autor utiliza cinco películas de la Transición y la Democracia españolas para explicar mensajes de legitimación en relación con el Ejército. El retrato de personalidades de la Guerra Civil se ha construido casi siempre de manera monolítica y sin ambigüedades, algo que el lenguaje cinematográfico ha debido exacerbar, dejando al descubierto propaganda al servicio de autonomías y partidos políticos, justificaciones e ideas contemporáneas autocomplacientes.The genre of the biopic film, especially about public figures, naturally lends itself to political manipulation. The author uses five films in the Spanish Democratic Transition and messages explaining standing under the Army. Portrait of Civil War personalities are almost always built on a monolithic and unambiguous language rather than the film had to exacerbate, exposing propaganda in the service of autonomy and political parties, self-serving justifications and contemporary ideas.Publicad

Steganography and Data Loss Prevention: An overlooked risk?

Steganography is the art or science of hiding information into a carrier in such a way that the hidden data could not be detected at first sight. Steganography techniques have broadened their scope of action, from hiding information into picture media, to audio steganography and to the field of network steganography. All these methods entail a potential threat to the information security policies of any business; having into the data leakage threats its likely focus. In this scenario, business corporations cannot remain blind to these types of threats and should consider adequate policies and prevention techniques to avoid these risks. We have analyzed in this article the potential dangers that an organization could face in the light of these types of steganography techniques along with a review of current commercial software vendors to analyze their offers and mishaps on Data Leakage Prevention regarding steganography risks

Are information systems and computer science overlapping more and more?

In this research, we posit the importance of including Computer Science topics in undergraduate Information Systems courses. A review of the existing literature has mentioned the importance of learning some Computer Science topics for an Information Systems career. Unfortunately, we have not found a consensus that could push this initiative. There is a set of concepts that Information Systems students should acquire from Computer Science or at least have a solid background in these areas. Therefore, we propose a set of courses from Computer Science that, we believe, should be considered in an Information Systems education

Matching System for Animal-Assisted Therapy Based on the Levenshtein and Gale-Shapley Algorithms

This current research is based on the implementation of an algorithm that assigns pets, cats, or dogs to persons with depressive disorders such as low self-esteem. We found that even though different institutions have made the assignments of pets to patients, we were not able to find one that uses an IT tool for this task. Because of this situation, we decided to adapt to the well-known Gale-Shapley algorithm that has been used successfully in different situations in which it needs a perfect match between two parties. The results obtained have been validated by experts in the field of animal and person psychology. Because the Gale-Shapley algorithm needs a preference array between the parts involved and due that an animal cannot establish this set of preferences, we aimed to use a string similarity-based algorithm for obtaining preferences arrays based on the behavioral traits of an animal or person

Problemática en torno a la conquista y repoblación de las ciudades musulmanas de Orihuela y Alicante por Alfonso X el Sabio.

Sin resume

Carbon footprint of dairy goat production systems: A comparison of three contrasting grazing levels in the Sierra de Grazalema Natural Park (Southern Spain)

The main objective of this study was to analyze the carbon footprint (CF) of grazing dairy goat systems in a natural park according to their grazing level. A total of 16 representative grazing goat farms in southern Spain were selected and grouped into three farming systems: low productivity grazing farms (LPG), more intensified grazing farms (MIG) and high productivity grazing farms (HPG). Their CF was analyzed, including greenhouse gas emissions and soil C sequestration according to the farms’ grazing level and milk productivity, taking into account different functional units (one kilogram of fat and protein corrected milk (FPCM) and one hectare) and milk correction. Results showed that all variables differed according to the milk correction applied as the values for cow's milk correction were 41% lower than for sheep's milk correction. Total emissions and contributions of soil carbon sequestration differed according to farming system group; LPG farms had higher total emissions than MIG and HPG farms, however total carbon sequestration was lower in the MIG farms than in the LPG and HPG farms. The CF values ranged from 2.36 to 1.76 kg CO2e kg⁻¹ FPCM for sheep's milk correction and from 1.40 to 1.04 kg CO2e kg⁻¹ FPCM for cow's milk correction. No differences were found between farming system groups in either of the two cases but when calculations took hectare of land as a functional unit, the contribution of MIG farms to the CF was 85% higher than LPG and HPG farms. Therefore it is important to take into account the functional unit used to calculate the CF by analyzing this indicator in a broader context, and including carbon sequestration by grazing livestock in the calculation. In order to reduce the CF of this type of system, it is advisable to make appropriate use of the natural resources and to reach an optimum level of milk productivity, high enough for pastoral livestock farming to be viable

One-class models for validation of miRNAs and ERBB2 gene interactions based on sequence features for breast cancer scenarios

One challenge in miRNA–genes–diseases interaction studies is that it is challenging to find labeled data that indicate a positive or negative relationship between miRNA and genes. The use of one-class classification methods shows a promising path for validating them. We have applied two one-class classification methods, Isolation Forest and One-class SVM, to validate miRNAs interactions with the ERBB2 gene present in breast cancer scenarios using features extracted via sequence-binding. We found that the One-class SVM outperforms the Isolation Forest model, with values of sensitivity of 80.49% and a specificity of 86.49% showing results that are comparable to previous studies. Additionally, we have demonstrated that the use of features extracted from a sequence-based approach (considering miRNA and gene sequence binding characteristics) and one-class models have proven to be a feasible method for validating these genetic molecule interactions

Automated classification system of giant white corn using image processing and supervised techniques

Nowadays, the use of artificial vision for classification in agricultural products has proven to have a great impact on this field. The exportation of agricultural goods has risen all over the world, consequently, that is the reason why exporting companies are looking to automate their processes and artificial vision techniques seems a great niche. This automation will allow an improvement in their production performance by diminishing the time and cost of their processes. While having a sound quality product in less time, improved precision and with no extensive manipulation of the product. In this article, we aim to offer a low cost alternative to this procedure oriented to the classification of Peruvian white corn by proposing an algorithm for the segmentation and recognition of images using computer vision techniques