Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational in- telligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two il- lustrative Traffic Engineering methods are described, allowing to attain routing con- figurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

Modeling microbes: New methods for integrated metabolic and regulatory network reconstruction

PhD Thesis in Bioengineering

Abstract computation in schizophrenia detection through artificial neural network based systems

Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.

Thrombophilia screening: An artificial neural network approach

Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.

Differential activation of the default mode network in jet lagged individuals

Long-term exposure to transmeridian flights has been shown to impact cognitive functioning. Nevertheless, the immediate effects of jet lag in the activation of specific brain networks have not been investigated. We analyzed the impact of short-term jet lag on the activation of the default mode network (DMN). A group of individuals who were on a transmeridian flight and a control group went through a functional magnetic resonance imaging acquisition. Statistical analysis was performed to test for differences in the DMN activation between groups. Participants from the jet lag group presented decreased activation in the anterior nodes of the DMN, specifically in bilateral medial prefrontal and anterior cingulate cortex. No areas of increased activation were observed for the jet lag group. These results may be suggestive of a negative impact of jet lag on important cognitive functions such as introspection, emotional regulation and decision making in a few days after individuals arrive at their destination.

A network approach to brain aging through multimodal neuroimaging

Tese de Doutoramento em Ciências da Saúde.

Evolution of the gene regulatory network controlling flower dorsoventral asymmetry

Tese de Doutoramento em Biologia de Plantas.

A modular traffic sampling architecture for flexible network measurements

Dissertação de Mestrado (Programa Doutoral em Informática)

Reconstruction of the regulatory network for Bacillus subtilis and reconciliation with gene expression data

The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fmicb. 2016.00275

Automated network resilience optimization using computational intelligence methods

This paper presents an automated optimization framework able to provide network administrators with resilient routing configurations for link-state protocols, such as OSPF or IS-IS. In order to deal with the formulated NP-hard optimization problems, the devised framework is underpinned by the use of computational intelligence optimization engines, such as Multi-objective Evolutionary Algorithms (MOEAs). With the objective of demonstrating the framework capabilities, two illustrative Traffic Engineering methods are described, allowing to attain routing configurations robust to changes in the traffic demands and maintaining the network stable even in the presence of link failure events. The presented illustrative results clearly corroborate the usefulness of the proposed automated framework along with the devised optimization methods.

Asociatividad y redes interorganizacionales. El caso de la Red Social de la 5ta. Associativity and interorganizational networks. The case of the Social Network of "la 5ta".

En investigaciones anteriores el equipo trabajó sobre el concepto de asociatividad en las prácticas de emprendimientos socioeconómicos y cooperativas surgidos luego de la crisis del 2001 en Argentina. Las conclusiones de dichas investigaciones se agrupan en dos categorías. La primera identifica como un obstáculo importante para generar y sostener la asociatividad, al elevado grado de desconfianza y fragmentación del tejido social, que dificulta la conformación de formas organizacionales asociativas más allá de las emprendidas por personas vinculadas por lazos afectivos previos. La segunda categoría de conclusiones corresponde a las dificultadas asociadas a los niveles de formalidad requeridos por las políticas públicas que promueven la constitución de formas asociativas.Sobre estos antecedentes se propone el análisis otras formas asociativas de mayor envergadura tales como las redes interorganizacionales, que superan la asociatividad entre individuos e incluyen a diversas organizaciones (de la sociedad civil, actores estatales, instituciones educativas, cooperativas, etc.). Estas redes, que incluyen a las formas asociativas estudiadas anteriormente por el equipo, se diferencian de ellas en que los vínculos trascienden el contexto primario de los actores, no necesariamente se asientan sobre estructuras de coordinación formales y cuentan con una cierta trayectoria de construcción colectiva que sirve de base y sustento a proyectos sociales en sectores de alta vulnerabilidad. El objetivo de la investigación es describir y analizar las características de la asociatividad en una de estas redes existente en la ciudad de Córdoba, en especial en lo que hace al diseño organizacional y funcionamiento asociativo, identificando el proceso de incidencia de la misma en políticas públicas y los factores que favorecen y obstaculizan ese proceso. La metodología consiste en la construcción conjunta, con los propios actores, de los problemas de investigación para desde allí comprender y sistematizar sus propias prácticas con el objetivo de generar un conocimiento capaz de potenciar su dinámica y enriquecer la construcción teórica en torno a estas formas organizacionales. La red elegida es la Red Social de la 5ta, compuesta por alrededor de 30 organizaciones entre las que se cuentan OSC y organismos públicos de distintos niveles (provincial y municipal). Funciona desde el año 1998 en la zona sudeste de la ciudad de Córdoba uno de los sectores que concentra los índices más altos de pobreza y morbilidad y mortalidad materno infantil de la ciudad. El deterioro de la situación económica y el progresivo abandono del Estado han convertido gran parte de la zona donde se articula la Red en una zona marginal, adjudicataria en el imaginario público del estigma de peligrosidad. En este marco, el objetivo de la Red es mejorar a calidad de vida de la comunidad a través de acciones conjuntas y del establecimiento de acuerdos con otros actores institucionales.

Thyroid hormone modulation of early neocortical network development

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012

Network Meta-analysis to Synthesize Evidence for Decision Making in Cardiovascular Research

Abstract Clinical decision-making requires synthesis of evidence from literature reviews focused on a specific theme. Evidence synthesis is performed with qualitative assessments and systematic reviews of randomized clinical trials, typically covering statistical pooling with pairwise meta-analyses. These methods include adjusted indirect comparison meta-analysis, network meta-analysis, and mixed-treatment comparison. These tools allow synthesis of evidence and comparison of effectiveness in cardiovascular research.

Molecular mechanisms of classical fear conditioning : GABAergic factors and their role in fear-related network activities

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2010

Programmierschnittstellen für eingebettete Netzwerke in Mehrbenutzerbetriebssystemen am Beispiel des Controller Area Network

Magdeburg, Univ., Fak. für Informatik, Diss., 2011