A5076528057- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Neural Networks and Applications
- Bioinformatics and Genomic Networks
- Analog and Mixed-Signal Circuit Design
- Land Use and Ecosystem Services
- Urban Design and Spatial Analysis
- Cell Image Analysis Techniques
- Advanced Clustering Algorithms Research
- Complex Systems and Time Series Analysis
- Nonlinear Dynamics and Pattern Formation
- Neural dynamics and brain function
- Topological and Geometric Data Analysis
- Retinal Imaging and Analysis
- Acute Ischemic Stroke Management
- Gene Regulatory Network Analysis
- Cerebrovascular and Carotid Artery Diseases
- Barrier Structure and Function Studies
- Data Mining Algorithms and Applications
- Birth, Development, and Health
- Ecosystem dynamics and resilience
- Evolutionary Game Theory and Cooperation
- Evolutionary Algorithms and Applications
- Bayesian Methods and Mixture Models
- Theoretical and Computational Physics
Universidade Federal de São Carlos
2015-2024
Universidade de São Paulo
2011-2018
Czech Academy of Sciences, Institute of Physics
2017
Instituto de Psicologia Comportamental de São Carlos
2013
Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) machine learning methods practical applications becomes essential. While many classification have been proposed, there is no consensus on which are more suitable for a given dataset. As consequence, it important to comprehensively compare possible scenarios. In this context, we performed systematic comparison 9 well-known clustering available the R language assuming normally...
Pattern recognition has been employed in a myriad of industrial, commercial and academic applications. Many techniques have devised to tackle such diversity Despite the long tradition pattern research, there is no technique that yields best classification all scenarios. Therefore, as many possible should be considered high accuracy Typical related works either focus on performance given algorithm or compare various methods. In occasions, however, researchers who are not experts field machine...
When dealing with the dissemination of epidemics, one important question that can be asked is location where contamination began. In this paper, we analyze three spreading schemes and propose validate an effective methodology for identification source nodes. The method based on calculation centrality nodes sampled network, expressed here by degree, betweenness, closeness eigenvector centrality. We show node tends to have highest measurement values. potential illustrated respect theoretical...
Abstract Landscape connectivity is important for a wide range of ecological processes, including to disease spread, once it describes the degree which landscapes facilitate or impede vector and hosts dispersion. Understanding extremely identify where pathogens can move, at what speed, allowing organization vaccination campaigns other preventive measures. To better understand effects landscape on yellow fever virus (YFV) dispersion in Brazil, we used network approach modelled movement...
Abstract Various environmental exposures during pregnancy, like maternal diet, can compromise, at critical periods of development, the neurovascular maturation offspring. Foetal exposure to high-fat diet (mHFD), common Western societies, has been shown disturb development in neonates and long-term permeability neurovasculature. Nevertheless, effects mHFD on offspring’s cerebrovascular health remains largely elusive. Here, we sought address this knowledge gap by using a translational mouse...
In this paper, we develop an entropy measure for assessing the structural complexity of directed graphs. Although there are many existing alternative measures quantifying properties undirected graphs, relatively few corresponding To fill gap in literature, explore technique that is applicable to We commence by using Chung's generalization Laplacian a graph extend computation von Neumann from provide simplified form which can be expressed terms simple node in-degree and out-degree statistics....
Preterm birth is the leading cause of death in children under 5 years age. Premature infants who receive life-saving oxygen therapy often develop bronchopulmonary dysplasia (BPD), a chronic lung disease. Infants with BPD are at high risk abnormal neurodevelopment, including motor and cognitive difficulties. While neural progenitor cells (NPCs) crucial for proper brain development, it unclear whether they play role BPD-associated neurodevelopmental deficits. Here, we show that...
Abstract Astrocytes are intimately linked with brain blood vessels, an essential relationship for neuronal function. However, astroglial factors driving these physical and functional associations during postnatal development have yet to be identified. By characterizing structural transcriptional changes in mouse cortical astrocytes the first two weeks, we find that high-mobility group box 1 ( Hmgb1 ), normally upregulated injury involved adult cerebrovascular repair, is highly expressed at...
In this paper, we present a method for characterizing the evolution of time-varying complex networks by adopting thermodynamic representation network structure computed from polynomial (or algebraic) characterization graph structure. Commencing based on characteristic normalized Laplacian matrix, show how is linked to Boltzmann partition function network. This allows us compute number quantities network, including average energy and entropy. Assuming that system does not change volume, can...
Creating a dataset for training supervised machine learning algorithms can be demanding task. This is especially true blood vessel segmentation since one or more specialists are usually required image annotation, and creating ground truth labels just single take up to several hours. In addition, it paramount that the annotated samples represent well different conditions might affect imaged tissues as possible changes in acquisition process. only achieved by considering typical atypical, even...
Epigenetic modifications have emerged as attractive molecular substrates that integrate extrinsic changes into the determination of cell identity. Since stroke-related brain damage releases micro-environmental cues, we examined role a signaling-induced epigenetic pathway, an atypical protein kinase C (aPKC)-mediated phosphorylation CREB-binding (CBP), in post-stroke neurovascular remodeling. Using knockin mouse strain (CbpS436A) where aPKC-CBP pathway was defective, show disruption murine...
Vascular network density determines the amount of oxygen and nutrients delivered to host tissues, but how vast diversity densities is generated unknown. Reiterations endothelial-tip-cell selection, sprout extension anastomosis are basis for vascular generation, a process governed by VEGF/Notch feedback loop. Here, we find that temporal regulation this loop, previously unexplored dimension, key mechanism determine density. Iterating between computational modeling in vivo live imaging,...
Abstract. In the last few years, scientific community has witnessed an ongoing trend of using ideas developed in study complex networks to analyze climate dynamics. This powerful combination, usually called networks, can be used uncover non-trivial patterns weather changes throughout years. Here we investigate temperature network North American region and show that two characteristics, namely degree clustering, have marked differences between eastern western regions. We such are a reflection...
The financial market is a complex dynamical system composed of large variety intricate relationships between several entities, such as banks, corporations and institutions. At the heart lies stock exchange mechanism, which establishes time-evolving network trades among companies individuals. Such can be inferred through correlations time series prices, allowing overall to characterized by techniques borrowed from science. Here we study presence communities in network, show that knowledge...
Adsorption processes are responsible for detection of cancer biomarkers in biosensors (and immunosensors), which can be captured with various principles detection. In this study, we used a biosensor made nanostructured films polypyrrole and p53 antibodies, image analysis scanning electron microscopy data it possible to correlate morphological changes the concentration cells containing biomarker p53. The selectivity was proven by distinguishing images obtained exposure from those acquired...
Blood leakage from the vessels in eye is hallmark of many vascular diseases. One preclinical mouse models retinal blood leakage, very-low-density-lipoprotein receptor deficient (Vldlr
Several developments regarding the analysis of gene co-expression profiles using complex network theory have been reported recently. Such approaches usually start with construction an unweighted network, therefore requiring selection a suitable threshold defining which pairs vertices will be connected. We aimed at addressing such important problem by suggesting and comparing five different for selection. Each methods considers respective biologically-motivated criterion electing potentially...