The dynamics of local hiv-1 epidemics: the colombian and belgian cohorts

We aimed to characterize the HIV-1 epidemic of the Belgian and Colombian cohorts using an integrated approach that includes socio-demographic information, clinical data, and viral sequences, analyzed with statistical and phylogenetic approaches.

Impacto de dos técnicas quirúrgicas sobre la recaída local de carcinoma de mama en pacientes de una clínica de Bogotá D.C.

Introducción: El carcinoma de mama es el tumor maligno más frecuente entre las mujeres y representa una significativa mortalidad en los países en vías de desarrollo. Según datos del Instituto Nacional de Cancerología en el 2010 se reportaron 672 nuevos casos de cáncer de mama, lo que representó el 18% de todos los tumores malignos en mujeres. Durante las últimas 3 décadas las técnicas quirúrgicas para el tratamiento del cáncer de mama han presentado un cambio significativo y proponen disminución de procedimientos agresivos y radicales, intervenciones como: mastectomía radical modificada, cirugía conservadora y la disección de ganglio centinela son ejemplos claros de esta evolución asociado al incremento de la reconstrucción mamaria inmediata. Metodología: Estudio observacional tipo cohorte retrospectivo en el cual se revisó una base de datos de pacientes con cáncer de mama de las cuales 632 fueron sometidas a mastectomía radical con preservación de piel y complejo areola-pezón y mastectomía radical con preservación de piel sin preservación del complejo areola-pezón, los dos procedimientos asociados a reconstrucción mamaria inmediata y se comparó la frecuencia de recaída local entre los dos grupos. Resultados: De las 632 pacientes estudiadas al 30.5% se les realizo preservación del complejo areola pezón. Las mujeres a quienes se les realizó preservación del complejo areola pezón presentaron menor sobrevida a la recaída local a 10 años (80.51%) comparado con las mujeres a quienes no se les preservó el complejo areola pezón (87.40%), sin embargo no se encontró diferencia estadísticamente significativa para determinar que las probabilidades de sobrevida sean diferentes. Discusión: No se evidenció diferencia estadísticamente significativa entre los 2 procedimientos quirúrgicos (con y sin preservación del complejo areola pezón) en relación a la recaída local, estudios retrospectivos no han evidenciado una mayor tasa de recaídas locales en pacientes a quienes se les preserva el complejo areola-pezón, sin embargo hacen falta estudios prospectivos y aleatorizados que puedan otorgar un mayor sustento científico que garantice la seguridad de la preservación del complejo areola-pezón.

Impacto de dos técnicas quirúrgicas sobre la recaída local de carcinoma de mama en pacientes de una clínica de Bogotá D.C.

Introducción: El carcinoma de mama es el tumor maligno más frecuente entre las mujeres y representa una significativa mortalidad en los países en vías de desarrollo. Según datos del Instituto Nacional de Cancerología en el 2010 se reportaron 672 nuevos casos de cáncer de mama, lo que representó el 18% de todos los tumores malignos en mujeres. Durante las últimas 3 décadas las técnicas quirúrgicas para el tratamiento del cáncer de mama han presentado un cambio significativo y proponen disminución de procedimientos agresivos y radicales, intervenciones como: mastectomía radical modificada, cirugía conservadora y la disección de ganglio centinela son ejemplos claros de esta evolución asociado al incremento de la reconstrucción mamaria inmediata. Metodología: Estudio observacional tipo cohorte retrospectivo en el cual se revisó una base de datos de pacientes con cáncer de mama de las cuales 632 fueron sometidas a mastectomía radical con preservación de piel y complejo areola- pezón y mastectomía radical con preservación de piel sin preservación del complejo areola-pezón, los dos procedimientos asociados a reconstrucción mamaria inmediata y se comparó la frecuencia de recaída local entre los dos grupos. Resultados: De las 632 pacientes estudiadas al 30.5% se les realizo preservación del complejo areola pezón. Las mujeres a quienes se les realizó preservación del complejo areola pezón presentaron menor sobrevida a la recaída local a 10 años (80.51%) comparado con las mujeres a quienes no se les preservó el complejo areola pezón (87.40%), sin embargo no se encontró diferencia estadísticamente significativa para determinar que las probabilidades de sobrevida sean diferentes. Discusión: No se evidenció diferencia estadísticamente significativa entre los 2 procedimientos quirúrgicos (con y sin preservación del complejo areola pezón) en relación a la recaída local, estudios retrospectivos no han evidenciado una mayor tasa de recaídas locales en pacientes a quienes se les preserva el complejo areola-pezón, sin embargo hacen falta estudios prospectivos y aleatorizados que puedan otorgar un mayor sustento científico que garantice la seguridad de la preservación del complejo areola-pezón.

El desenvolupament local en l'espai en xarxa: xarxes socials i milieu a l'àrea urbana de Manresa

The paper focuses on the question of local development and applies the local territorial systems model to the urban area of Manresa (Barcelona). The concept of local development is discussed first, as well as the change in place's position within the network derived from metropolitan expansion processes. The role of Manresa's social agents and its development policies are explained, to stress the relevance of the position of places in the network and, foremost, of the role and capability of local actors in putting into value theirs milieu's resources

Congestion probability routing in virtual path ATM network

This dissertation focuses on the problem of providing mechanisms for routing point to point and multipoint connections in ATM networks. In general the notion of multipoint connection refers to connections that involve a group of users with more than two members. The main objective of this dissertation is to contribute to design efficient routing protocols with alterative routes in fully connected VP-based ATM Networks for call establishment of point to point and multipoint VC connections. An efficient route should be computed during this connection establishment phase.

Collaborative eLearning Assistant Network: caring agents are conscious agents

Would a research assistant - who can search for ideas related to those you are working on, network with others (but only share the things you have chosen to share), doesn’t need coffee and who might even, one day, appear to be conscious - help you get your work done? Would it help your students learn? There is a body of work showing that digital learning assistants can be a benefit to learners. It has been suggested that adaptive, caring, agents are more beneficial. Would a conscious agent be more caring, more adaptive, and better able to deal with changes in its learning partner’s life? Allow the system to try to dynamically model the user, so that it can make predictions about what is needed next, and how effective a particular intervention will be. Now, given that the system is essentially doing the same things as the user, why don’t we design the system so that it can try to model itself in the same way? This should mimic a primitive self-awareness. People develop their personalities, their identities, through interacting with others. It takes years for a human to develop a full sense of self. Nobody should expect a prototypical conscious computer system to be able to develop any faster than that. How can we provide a computer system with enough social contact to enable it to learn about itself and others? We can make it part of a network. Not just chatting with other computers about computer ‘stuff’, but involved in real human activity. Exposed to ‘raw meaning’ – the developing folksonomies coming out of the learning activities of humans, whether they are traditional students or lifelong learners (a term which should encompass everyone). Humans have complex psyches, comprised of multiple strands of identity which reflect as different roles in the communities of which they are part – so why not design our system the same way? With multiple internal modes of operation, each capable of being reflected onto the outside world in the form of roles – as a mentor, a research assistant, maybe even as a friend. But in order to be able to work with a human for long enough to be able to have a chance of developing the sort of rich behaviours we associate with people, the system needs to be able to function in a practical and helpful role. Unfortunately, it is unlikely to get a free ride from many people (other than its developer!) – so it needs to be able to perform a useful role, and do so securely, respecting the privacy of its partner. Can we create a system which learns to be more human whilst helping people learn?

Detection of Parkinson’s disease tremor-onset with a frequency analysing artificial neural network

Deep Brain Stimulator devices are becoming widely used for therapeutic benefits in movement disorders such as Parkinson's disease. Prolonging the battery life span of such devices could dramatically reduce the risks and accumulative costs associated with surgical replacement. This paper demonstrates how an artificial neural network can be trained using pre-processing frequency analysis of deep brain electrode recordings to detect the onset of tremor in Parkinsonian patients. Implementing this solution into an 'intelligent' neurostimulator device will remove the need for continuous stimulation currently used, and open up the possibility of demand-driven stimulation. Such a methodology could potentially decrease the power consumption of a deep brain pulse generator.

Architecture for Living Neuronal Network Control of a mobile robot

The intelligent controlling mechanism of a typical mobile robot is usually a computer system. Research is however now ongoing in which biological neural networks are being cultured and trained to act as the brain of an interactive real world robot – thereby either completely replacing or operating in a cooperative fashion with a computer system. Studying such neural systems can give a distinct insight into biological neural structures and therefore such research has immediate medical implications. The principal aims of the present research are to assess the computational and learning capacity of dissociated cultured neuronal networks with a view to advancing network level processing of artificial neural networks. This will be approached by the creation of an artificial hybrid system (animat) involving closed loop control of a mobile robot by a dissociated culture of rat neurons. This paper details the components of the overall animat closed loop system architecture and reports on the evaluation of the results from preliminary real-life and simulated robot experiments.

A Conceptual Model for Group Support Systems in Local Councils

This paper proposes a conceptual model of a context-aware group support system (GSS) to assist local council employees to perform collaborative tasks in conjunction with inter- and intra-organisational stakeholders. Most discussions about e-government focus on the use of ICT to improve the relationship between government and citizen, not on the relationship between government and employees. This paper seeks to expose the unique culture of UK local councils and to show how a GSS could support local government employer and employee needs.

Interference and communications among active network applications

This paper focuses on active networks applications and in particular on the possible interactions among these applications. Active networking is a very promising research field which has been developed recently, and which poses several interesting challenges to network designers. A number of proposals for e±cient active network architectures are already to be found in the literature. However, how two or more active network applications may interact has not being investigated so far. In this work, we consider a number of applications that have been designed to exploit the main features of active networks and we discuss what are the main benefits that these applications may derive from them. Then, we introduce some forms of interaction including interference and communications among applications, and identify the components of an active network architecture that are needed to support these forms of interaction. We conclude by presenting a brief example of an active network application exploiting the concept of interaction.

A fuzzy approach for the network congestion problem

In the recent years, the unpredictable growth of the Internet has moreover pointed out the congestion problem, one of the problems that historicallyha ve affected the network. This paper deals with the design and the evaluation of a congestion control algorithm which adopts a FuzzyCon troller. The analogyb etween Proportional Integral (PI) regulators and Fuzzycon trollers is discussed and a method to determine the scaling factors of the Fuzzycon troller is presented. It is shown that the Fuzzycon troller outperforms the PI under traffic conditions which are different from those related to the operating point considered in the design.

The DREAM Framework: using a network of scalable ontologies for intelligent indexing and retrieval of visual content

There are still major challenges in the area of automatic indexing and retrieval of digital data. The main problem arises from the ever increasing mass of digital media and the lack of efficient methods for indexing and retrieval of such data based on the semantic content rather than keywords. To enable intelligent web interactions or even web filtering, we need to be capable of interpreting the information base in an intelligent manner. Research has been ongoing for a few years in the field of ontological engineering with the aim of using ontologies to add knowledge to information. In this paper we describe the architecture of a system designed to automatically and intelligently index huge repositories of special effects video clips, based on their semantic content, using a network of scalable ontologies to enable intelligent retrieval.

Orthogonal forward selection for constructing the radial basis function network with tunable nodes

An orthogonal forward selection (OFS) algorithm based on the leave-one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes. This OFS-LOO algorithm is computationally efficient and is capable of identifying parsimonious RBF networks that generalise well. Moreover, the proposed algorithm is fully automatic and the user does not need to specify a termination criterion for the construction process.