Search results for "Genetic algorithm"

Defining new morphokinetic variables for embryo selection by time-lapse

2012

Time-lapse technology: evaluation of embryo quality and new markers for embryo selection

2012

Current methods of embryo evaluation rely mainly on static observations of the embryo´s morphology. These observations are inevitably restricted to specific times and, considering that the development of the embryo is a dynamic process, several critical stages in between observations may go unnoticed. These methods are also very subjective, and variations between embryologists may affect critical decisions that will, in turn, affect the overall success of the IVF clinics. On the other hand, an increased number of multiple pregnancies calls for a reduction in the number of embryos transferred, making the selection procedure even more challenging for the embryologist. Therefore, new markers t…

Prospective validation of a time-lapse based algorithm for embryo selection

2014

Alternative reproductive tactics and the propensity of hybridization

2009

One explanation for hybridization between species is the fitness benefits it occasionally confers to the hybridizing individuals. This explanation is possible in species that have evolved alternative male reproductive tactics: individuals with inferior tactics might be more prone to hybridization provided it increases their reproductive success and fitness. Here we experimentally tested whether the propensity of hybridization in the wild depends on male reproductive tactic in Calopteryx splendens damselflies. Counter to our expectation, it was males adopting the superior reproductive tactic (territoriality) that had greatest propensity to hybridize than males adopting the inferior tactics (…

Antibiotics and Resistance: A Fatal Attraction

2013

When penicillin and other classes of antibiotics were discovered and used to treat infectious diseases human morbidity and mortality due to infective microorganisms were successfully contrasted. However, almost as soon as antibacterial drugs were introduced in clinics, bacterial resistance spread. From a biological and microbiological viewpoint, antibacterial drug resistance is a fascinating aspect of molecular evolution, and resistome concept has been introduced to shed light on driving forces that control the spreading and maintenance of resistance genes within microbial populations. Despite the wide range of chemical complexity of antibiotics, there is a restricted number of modes of act…

A genetic algorithm to calibrate dynamical systems: Confidence intervals for parameters and residuals

2018

This paper presents a genetic algorithm to calibrate dynamical systems that is able to calculate confidence intervals for the parameters of the system. As an application case is used to calibrate the system that reproduces the dynamical response of the General Factor of Personality (GFP) to a given stimulus, particularly to a stimulant drug dose. The model is called in Literature as the response model and includes an integro-differential equation. The presented application case is a single case ABC experimental design where the stimulus is methylphenidate.

Parallel Genetic Algorithms for the Tuning of a Fuzzy AQM Controller

2003

This paper presents the results of the application of a parallel Genetic Algorithm (GA) in order to design a Fuzzy Proportional Integral (FPI) controller for active queue management on Internet routers. The Active Queue Management (AQM) policies are those policies of router queue management that allow the detection of network congestion, the notification of such occurrences to the hosts on the network borders, and the adoption of a suitable control policy. Two different parallel implementations of the genetic algorithm are adopted to determine an optimal configuration of the FPI controller parameters. Finally, the results of several experiments carried out on a forty nodes cluster of workst…

RDB2OWL

2010

RDB2OWL is a simple approach of mapping relational databases into independently developed OWL ontologies. The approach is based on creating a mapping RDB schema, filling it with mapping information from which SQL scripts are generated that perform the instance-level transformation. We describe the RDB2OWL mapping schema and report on successful application of the technology to the migration of Latvian medical registries data.

A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery

2017

This paper proposes a Genetic Algorithm (GA) approach to clean a given classifier training set for remote sensing image analysis. Starting from an initial set of training data, the new method called GA-Training Label Purifying (GA-TLP) consists of the significant training sample selection using GAs in order to maximize the classifier accuracy. This means to retain the most informative samples and to remove the uncertain, redundant, and misclassified ones. As a result of the selection process, we can obtain a purified training set. The proposed model is implemented and evaluated using a LANDSAT 7 ETM+ image. The experimental results confirm the effectiveness of the proposed approach.

Snowball ICA: A Model Order Free Independent Component Analysis Strategy for Functional Magnetic Resonance Imaging Data

2020

In independent component analysis (ICA), the selection of model order (i.e., number of components to be extracted) has crucial effects on functional magnetic resonance imaging (fMRI) brain network analysis. Model order selection (MOS) algorithms have been used to determine the number of estimated components. However, simulations show that even when the model order equals the number of simulated signal sources, traditional ICA algorithms may misestimate the spatial maps of the signal sources. In principle, increasing model order will consider more potential information in the estimation, and should therefore produce more accurate results. However, this strategy may not work for fMRI because …