Pesticides are chemicals that are widely used all over the world. Human beings can be exposed thr... more Pesticides are chemicals that are widely used all over the world. Human beings can be exposed through environmental contamination and/or occupational use of pesticides. Although there is substantial information on the acute toxicity of many of these chemicals, available knowledge on delayed effects is much more limited. This paper reviews epidemiological studies on occupational exposure to pesticides, mainly in agricultural workers, and risk of congenital malformations. The discussion includes postulated mechanisms for birth defects from paternal or maternal exposure, a detailed review of method of the studies carried out so far on the relationship between occupational exposure to pesticides and congenital malformations, and a summary of main results obtained. From available information, it seems reasonable to conclude that, to date, there is inadequate evidence for either establishing a relationship between pesticides exposure in human beings and birth defects or for rejecting it. Avoiding the main limitations of previous studies, some of the key elements for future research are presented.
A neural network model called lateral interaction in accumulative computation for detection of no... more A neural network model called lateral interaction in accumulative computation for detection of non-rigid objects from motion of any of their parts in indefinite sequences of images is presented. Some biological evidences inspire the model. After introducing the model, the complete multi-layer neural architecture is offered in this paper. The architecture consists of four layers that perform segmentation by gray level bands, accumulative charge computation, charge redistribution by gray level bands and moving object fusion. The lateral interaction in accumulative computation associated learning algorithm is also introduced. Some examples that explain the usefulness of the system we propose are shown at the end of this article. q
Some of the major computer vision techniques make use of neural nets. In this paper we present a ... more Some of the major computer vision techniques make use of neural nets. In this paper we present a novel model based on neural networks denominated lateral interaction in accumulative computation (LIAC). This model is based on a series of neuronal models in one layer, namely the local accumulative computation model, the double time scale model and the recurrent lateral interaction model. The LIAC model usefulness in the general task of motion detection may be appreciated by means of some signiÿcant examples of object detection in indeÿnite sequences of synthetic and real images.
To be able to understand the motion of non-rigid objects, techniques in image processing and comp... more To be able to understand the motion of non-rigid objects, techniques in image processing and computer vision are essential for motion analysis. Lateral interaction in accumulative computation for extracting non-rigid shapes from an image sequence has recently been presented, as well as its application to segmentation from motion. In this paper, we introduce a modiÿed version of the ÿrst multi-layer architecture. This version uses the basic parameters of the LIAC model to spatio-temporally build up to the desired extent the shapes of all moving objects present in a sequence of images. The in uences of LIAC model parameters are explained in this paper, and we ÿnally show some examples of the usefulness of the model proposed.
La pregunta por la (des)territorialización del cuerpo o las paradojas de un cuerpo (post)humaniza... more La pregunta por la (des)territorialización del cuerpo o las paradojas de un cuerpo (post)humanizado o, en un contexto más amplio, la subjetividad que se (des)materializa en un cuerpo cyborg, busca en el desarrollo de sus contenidos comprender cómo se construyen esas ciberrelaciones en los contextos contemporáneos, y qué delimita esa conjunción entre lo humano y la máquina.
Pesticides are chemicals that are widely used all over the world. Human beings can be exposed thr... more Pesticides are chemicals that are widely used all over the world. Human beings can be exposed through environmental contamination and/or occupational use of pesticides. Although there is substantial information on the acute toxicity of many of these chemicals, available knowledge on delayed effects is much more limited. This paper reviews epidemiological studies on occupational exposure to pesticides, mainly in agricultural workers, and risk of congenital malformations. The discussion includes postulated mechanisms for birth defects from paternal or maternal exposure, a detailed review of method of the studies carried out so far on the relationship between occupational exposure to pesticides and congenital malformations, and a summary of main results obtained. From available information, it seems reasonable to conclude that, to date, there is inadequate evidence for either establishing a relationship between pesticides exposure in human beings and birth defects or for rejecting it. Avoiding the main limitations of previous studies, some of the key elements for future research are presented.
A neural network model called lateral interaction in accumulative computation for detection of no... more A neural network model called lateral interaction in accumulative computation for detection of non-rigid objects from motion of any of their parts in indefinite sequences of images is presented. Some biological evidences inspire the model. After introducing the model, the complete multi-layer neural architecture is offered in this paper. The architecture consists of four layers that perform segmentation by gray level bands, accumulative charge computation, charge redistribution by gray level bands and moving object fusion. The lateral interaction in accumulative computation associated learning algorithm is also introduced. Some examples that explain the usefulness of the system we propose are shown at the end of this article. q
Some of the major computer vision techniques make use of neural nets. In this paper we present a ... more Some of the major computer vision techniques make use of neural nets. In this paper we present a novel model based on neural networks denominated lateral interaction in accumulative computation (LIAC). This model is based on a series of neuronal models in one layer, namely the local accumulative computation model, the double time scale model and the recurrent lateral interaction model. The LIAC model usefulness in the general task of motion detection may be appreciated by means of some signiÿcant examples of object detection in indeÿnite sequences of synthetic and real images.
To be able to understand the motion of non-rigid objects, techniques in image processing and comp... more To be able to understand the motion of non-rigid objects, techniques in image processing and computer vision are essential for motion analysis. Lateral interaction in accumulative computation for extracting non-rigid shapes from an image sequence has recently been presented, as well as its application to segmentation from motion. In this paper, we introduce a modiÿed version of the ÿrst multi-layer architecture. This version uses the basic parameters of the LIAC model to spatio-temporally build up to the desired extent the shapes of all moving objects present in a sequence of images. The in uences of LIAC model parameters are explained in this paper, and we ÿnally show some examples of the usefulness of the model proposed.
La pregunta por la (des)territorialización del cuerpo o las paradojas de un cuerpo (post)humaniza... more La pregunta por la (des)territorialización del cuerpo o las paradojas de un cuerpo (post)humanizado o, en un contexto más amplio, la subjetividad que se (des)materializa en un cuerpo cyborg, busca en el desarrollo de sus contenidos comprender cómo se construyen esas ciberrelaciones en los contextos contemporáneos, y qué delimita esa conjunción entre lo humano y la máquina.
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Papers by Ana García