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Vannessa Duarte

Bio: Vannessa Duarte is an academic researcher from Central University of Venezuela. The author has contributed to research in topics: Computer science & Boundary element method. The author has an hindex of 3, co-authored 6 publications receiving 29 citations. Previous affiliations of Vannessa Duarte include Polytechnic University of Catalonia.

Papers
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Journal ArticleDOI
TL;DR: In this article, the Boundary Element Method (BEM) is used to simulate piezoelectric effects on bones when shearing forces are applied to collagen fibers to make them slip past each other.

27 citations

Journal ArticleDOI
TL;DR: In this paper, a poroelastic boundary element framework was used to characterise fracture healing, leading to a correlation between mechanical conditions and local tissue formation, and the results were in good agreement with those reported in previous works.
Abstract: Usually the mechanical condition and the induced electric signal are devoted to be part of the stimuli controlling the biophysical activity associate with healing and remodelling phenomena. The tissue differentiation theory proposed by Claes and Heigele (1999) has been numerically implemented using an poroelastic boundary element framework to characterises fracture healing, leading to a new poroelastic correlation between mechanical conditions and local tissue formation. This paper also presents the implementation of the piezoelectric boundary integral equation to further study the bone tissue behaviour. The results were in good agreement with those reported in previous works.

6 citations

Journal ArticleDOI
TL;DR: In this article, a computational model for the analysis of the piezoelectric behavior of the vertebral body remodeling process is presented, which includes the elastic and electric variables in a single equation using boundary element method.
Abstract: This paper outlines a computational model for the analysis of the piezoelectric behaviour of the vertebral body remodelling process. Particular attention is paid to the algorithms for the simulation of the stress energy density for each point of the geometry and the distribution of the density in the bone. In addition, the model takes into account the piezoelectric effect and the anisotropy (transversal isotropy) of the bone. A model for internal anisotropic piezoelectric bone remodelling of a human vertebra is discussed in detail. The model consists of the implementation of an algorithm which includes the elastic and electric variables in a single equation using boundary element method. The presented results show a good agreement with biological data and the model does not include any electric additional charge.

5 citations

Proceedings ArticleDOI
16 Nov 2020
TL;DR: The results suggest that the ANN approach is a competitive and efficient methodology to detect and differentiate the cognitive neurodevelopmental consequences of prenatal alcohol exposure, however, it could not recommend the use of this technique for diagnosis FASD if the model does not improve accuracy.
Abstract: In recent decades, one of the most used technique is artificial neural networks (ANN), since their learning is based on a set of connections, it is transparent to the user and the result has managed to solve complex problems in the medical field. The study implemented algorithms of ANN using input data from a battery of psychometric tests. This battery assesses multiple domains of attention and executive functioning, memory and learning, sensorimotor functioning, social perception, language, and visual-spatial processing. We attempt to explore how accuracy is the use of ANN for the prediction of children with Fetal Alcohol Spectrum Disorder (FASD). We implemented the ANN with a configuration of three layers, 20 neurons in the input layer, 25 neurons in the hidden layer, and two neurons in the output layer. We studied the accuracy of the model in training and testing, also the confusion matrix of the model. Using our machine learning approach, we have trained the ANN model to predict children/adolescents with FASD with accuracy ranging from 75.5% in testing data. These results suggest that the ANN approach is a competitive and efficient methodology to detect and differentiate the cognitive neurodevelopmental consequences of prenatal alcohol exposure. However, we could not recommend the use of this technique for diagnosis FASD if the model does not improve accuracy.

2 citations

Journal ArticleDOI
TL;DR: It was found that the main marketing problems solved with machine learning were related to consumer behavior, recommender systems, forecasting, marketing segmentation, and text analysis—content analysis.
Abstract: Even though machine learning (ML) applications are not novel, they have gained popularity partly due to the advance in computing processing. This study explores the adoption of ML methods in marketing applications through a bibliographic review of the period 2008–2022. In this period, the adoption of ML in marketing has grown significantly. This growth has been quite heterogeneous, varying from the use of classical methods such as artificial neural networks to hybrid methods that combine different techniques to improve results. Generally, maturity in the use of ML in marketing and increasing specialization in the type of problems that are solved were observed. Strikingly, the types of ML methods used to solve marketing problems vary wildly, including deep learning, supervised learning, reinforcement learning, unsupervised learning, and hybrid methods. Finally, we found that the main marketing problems solved with machine learning were related to consumer behavior, recommender systems, forecasting, marketing segmentation, and text analysis—content analysis.

2 citations


Cited by
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Journal ArticleDOI
TL;DR: The aim of this review is to peruse the alternation of biochemical, biomechanical, structural, electrical, and metabolic properties of the osteochondral tissue moving from the surface of the articular cartilage to the subchondral bone.

84 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the approach of using the piezoelectric scaffold and US can enhance osteogenic differentiation of different stem cells in vitro, and induce bone growth in a critical-sized calvarial defect in vivo.

60 citations

Journal ArticleDOI
26 Jul 2019-Bone
TL;DR: This paper aims to review the available literature on computer modeling of bone piezoelectricity and its application to bone adaptation and healing and summarizes current limitations and potential directions for future work.

32 citations

Journal ArticleDOI
TL;DR: In this article, the Boundary Element Method (BEM) is used to simulate piezoelectric effects on bones when shearing forces are applied to collagen fibers to make them slip past each other.

27 citations

Journal ArticleDOI
TL;DR: The theoretical formalism and experimental validation of DSMP imaging technique opens new opportunities for ultrastructural characterisation of chiral molecules, in particular collagen, and provides basis for the interpretation of SHG-CD signals.
Abstract: Nonlinear optical properties of collagen type-I are investigated in thin tissue sections of pig tendon as a research model using a complete polarimetric second-harmonic generation (P-SHG) microscopy technique called double Stokes-Mueller polarimetry (DSMP). Three complex-valued molecular susceptibility tensor component ratios are extracted. A significant retardance is observed between the chiral susceptibility component and the achiral components, while the achiral components appear to be in phase with each other. The DSMP formalism and microscopy measurements are further used to explain and experimentally validate the conditions required for SHG circular dichroism (SHG-CD) of collagen to occur. The SHG-CD can be observed with the microscope when: (i) the chiral second-order susceptibility tensor component has a non-zero value, (ii) a phase retardance is present between the chiral and achiral components of the second-order susceptibility tensor and (iii) the collagen fibres are tilted out of the image plane. Both positive and negative areas of SHG-CD are observed in microscopy images, which relates to the anti-parallel arrangement of collagen fibres in different fascicles of the tendon. The theoretical formalism and experimental validation of DSMP imaging technique opens new opportunities for ultrastructural characterisation of chiral molecules, in particular collagen, and provides basis for the interpretation of SHG-CD signals. The nonlinear imaging of chiroptical parameters offers new possibilities to further improve the diagnostic sensitivity and/or specificity of nonlinear label-free histopathology.

26 citations