A novel model for malware propagation on wireless sensor networks.

The main goal of this work was to propose a novel mathematical model for malware propagation on wireless sensor networks (WSN). Specifically, the proposed model was a compartmental and global one whose temporal dynamics were described by means of a system of ordinary differential equations. This proposal was more realistic than others that have appeared in the scientific literature since.

Smart Buildings IoT Networks Accuracy Evolution Prediction to Improve Their Reliability Using a Lotka-Volterra Ecosystem Model.

Internet of Things (IoT) is the paradigm that has largely contributed to the development of smart buildings in our society. This technology makes it possible to monitor all aspects of the smart building and to improve its operation. One of the main challenges encountered by IoT networks is that the the data they collect may be unreliable since IoT devices can lose accuracy for several reasons (sensor wear, sensor aging, poorly constructed buildings, etc.

[Noma/Cancrum oris: a neglected disease].

Noma is an aggressive orofacial gangrenous pathology that damages hard and soft tissues of the mouth and the face. Throughout the centuries it has been present around the globe, but nowadays it has practically disappeared from developed countries and mainly affects children from the most disadvantaged places, especially in Africa. Noma disease is a multifactorial process; malnutrition, debilitating diseases (bacterial or viral systemic diseases, HIV-associated immunosuppression, etc.

[Prevention of an outbreak of Acinetobacter baumannii in intensive care units: study of the efficacy of different mathematical methods].

Introduction: Although in past decades, Acinetobacter baumanni infections have been sporadically identified in hospitals, nowadays the nosocomial infections due to this pathogen have notably increased. Its importance is due to its multidrug- resistance, morbidity and mortatility in healthcare settings. Consequently, it is important to predict the evolution of these outbreaks in order to stablish the most efficient control measures.

[Mathematical modelling of the propagation of infectious diseases: where we came from, and where we are going].

This work deals with the study of the use of mathematical models to simulate the spreading of infectious diseases. There is no doubt about the importance of the use of computational tools that allow the health staff to model and predict the spreading of an infectious disease. Using such tools one can establish and simulate disease control strategies.

[Anaerobic bacteria 150 years after their discovery by Pasteur].

In 2011 we celebrated the 150th anniversary of the discovery of anaerobic bacteria by Louis Pasteur. The interest of the biomedical community on such bacteria is still maintained, and is particularly focused on Clostridium difficile. In the past few years important advances in taxonomy have been made due to the genetic, technological and computing developments.

[Antibiotheraphy in the 21st century, antibacterials for the second decade. Posibilities or realities in the future?].

A review of some antibacterial products is done motivated by the serious situation arisen by the antimicrobial resistance in bacteria. The attention is focus on those drugs with suitable antimicrobial properties that have prospects to be commercialized in the next years because of they are undergoing a clinical development phase (I, II, III). The search for these antibacterial products has been done by an exhaustive study of conference proceedings and web pages of international congresses on chemotherapy, infectious diseases and new antimicrobial drugs.