Implementación y evaluación de un algoritmo de ocultación de datos para la señal de voz.

[ES]El objetivo de este proyecto es la implementación de un algoritmo de ocultación de datos para la señal de voz mediante el uso de su información de fase espectral. Cuando se trabaja con señales de voz lo más habitual es utilizar el módulo debido a su sencillez a la hora de manipularlo y porque está relacionado con la percepción. En este caso, se busca que la información oculta sea perceptualmente y estadísticamente indetectable y que a su vez degrade lo menos posible la calidad de la señal, por lo que modificar el módulo produciría efectos no deseados. Por lo tanto, el método más eficaz de conseguirlo es trabajando con la fase espectral, precisamente por el hecho de que el sistema auditivo humano es menos sensible ante modificaciones de fase. Esta característica es la que se aprovechará para introducir la información que se desea ocultar. Por último, se evaluará la técnica desarrollada de acuerdo a diferentes criterios. Mediante pruebas en las que se modificarán los valores de algunos parámetros se obtendrán resultados relacionados con la perceptibilidad, la robustez, el rendimiento o la capacidad entre otros, determinando así la configuración óptima del algoritmo.

A Trifluoromethyl Analogue of Celecoxib Exerts Beneficial Effects in Neuroinflammation

15 p.

On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD diagnosis by non-invasive methods. The purpose is to examine in a pilot study the potential of applying intelligent algorithms to speech features obtained from suspected patients in order to contribute to the improvement of diagnosis of AD and its degree of severity. In this sense, Artificial Neural Networks (ANN) have been used for the automatic classification of the two classes (AD and control subjects). Two human issues have been analyzed for feature selection: Spontaneous Speech and Emotional Response. Not only linear features but also non-linear ones, such as Fractal Dimension, have been explored. The approach is non invasive, low cost and without any side effects. Obtained experimental results were very satisfactory and promising for early diagnosis and classification of AD patients.

Phosphorylation of the carboxy-terminal domain of histone H1: effects on secondary structure and DNA condensation

Linker histone H1 plays an important role in chromatin folding. Phosphorylation by cyclin-dependent kinases is the main post-translational modification of histone H1. We studied the effects of phosphorylation on the secondary structure of the DNA-bound H1 carboxy-terminal domain (CTD), which contains most of the phosphorylation sites of the molecule. The effects of phosphorylation on the secondary structure of the DNA-bound CTD were site-specific and depended on the number of phosphate groups. Full phosphorylation significantly increased the proportion of -structure and decreased that of -helix. Partial phosphorylation increased the amount of undefined structure and decreased that of -helix without a significant increase in -structure. Phosphorylation had a moderate effect on the affinity of the CTD for the DNA, which was proportional to the number of phosphate groups. Partial phosphorylation drastically reduced the aggregation of DNA fragments by the CTD, but full phosphorylation restored to a large extent the aggregation capacity of the unphosphorylated domain. These results support the involvement of H1 hyperphosphorylation in metaphase chromatin condensation and of H1 partial phosphorylation in interphase chromatin relaxation. More generally, our results suggest that the effects of phosphorylation are mediated by specific structural changes and are not simply a consequence of the net charge.

Effects of international trade of food and feed and human diet shifts on food security and environmental safety: integrating scales

4 p.

The Health Effects of Climate Change: A Survey of Recent Quantitative Research

44 p.

LC-MS based methods for phytosterols determination in oenological matrices. Targeted metabolomic study of Rioja grape varieties

221 p.+ anexos

The Environmental, Social, Governance, and Financial Performance Effects on Companies that Adopt the United Nations Global Compact

This paper aims to investigate companies' environmental, social, governance (ESG), and financial implications of their commitment to the United Nations Global Compact (UNGC). The focus is placed on companies operating in the three countries with the highest number of UNGC participants: Spain, France, and Japan. The results clearly reveal that adoption of the UNGC often requires an organizational change that fosters stakeholder engagement, ultimately resulting in improvements in companies' ESG performance. Additionally, the results reveal that ESG performance has a significant impact on financial performance for companies that adopted the principles of the UNGC. These findings provide both non-financial and financial incentives to companies to commit to this voluntary corporate social responsibility (CSR) initiative, which will have important implications on companies' strategic management policies that aim to foster sustainable businesses and community development. Finally, the linkages between the UNGC-committed companies' ESG and financial performance may be influenced by geographical spread, mainly due to the appearance of differences in the institutional, societal, and cultural settings.