A5020883843- Long-Term Effects of COVID-19
- Spectroscopy and Chemometric Analyses
- COVID-19 and Mental Health
- Spatial and Panel Data Analysis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Water Quality Monitoring and Analysis
- Soil Geostatistics and Mapping
- Advanced Neuroimaging Techniques and Applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Functional Brain Connectivity Studies
- Statistical Methods and Bayesian Inference
- Data-Driven Disease Surveillance
- Economic and Environmental Valuation
- Bayesian Methods and Mixture Models
- Air Quality Monitoring and Forecasting
- Advanced Statistical Methods and Models
- Odor and Emission Control Technologies
- Point processes and geometric inequalities
- Spine and Intervertebral Disc Pathology
- Remote Sensing and LiDAR Applications
- Neurofibromatosis and Schwannoma Cases
- Infrastructure Maintenance and Monitoring
- Olfactory and Sensory Function Studies
- Agricultural Economics and Policy
- Spinal Hematomas and Complications
Universidade Estadual de Campinas (UNICAMP)
2013-2024
Brazilian Institute of Neuroscience and Neurotechnology
2021-2024
Santa Casa Hospital
2023
Czech Academy of Sciences, Institute of Mathematics
2021
Renmin University of China
2017
University of Wisconsin–Madison
2015
Although increasing evidence confirms neuropsychiatric manifestations associated mainly with severe COVID-19 infection, long-term dysfunction (recently characterized as part of "long COVID-19" syndrome) has been frequently observed after mild infection. We show the spectrum cerebral impact acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ranging from alterations in mildly infected individuals (orbitofrontal cortical atrophy, neurocognitive impairment, excessive fatigue and anxiety...
Abstract Although some studies have shown neuroimaging and neuropsychological alterations in post-COVID-19 patients, fewer combined neuropsychology evaluations of individuals who presented a mild acute infection. Here we investigated cognitive dysfunction brain changes group mildly infected individuals. We conducted cross-sectional study 97 consecutive subjects (median age 41 years) without current or history psychiatric symptoms (including anxiety depression) after infection, with median 79...
Abstract Although increasing evidence confirms neuropsychiatric manifestations associated mainly with severe COVID-19 infection, the long-term dysfunction has been frequently observed after mild infection. Here we show spectrum of cerebral impact SARS-CoV-2 infection ranging from alterations in mildly infected individuals (orbitofrontal cortical atrophy, neurocognitive impairment, excessive fatigue and anxiety symptoms) to acute damage confirmed brain tissue samples extracted orbitofrontal...
ABSTRACT Although post-acute cognitive dysfunction and neuroimaging abnormalities have been reported after hospital discharge in patients recovered from COVID-19, little is known about persistent, long-term alterations who did not require hospitalization. Therefore, we conducted a cross-sectional study of 87 consecutive, non-hospitalized individuals, with median 54 days the laboratory confirmation COVID-19. We performed structured interviews, neurological examination, 3T-MRI scans. The MRI...
Calibration and prediction for NIR spectroscopy data are performed based on a functional interpretation of the Beer–Lambert formula. Considering that, each chemical sample, resulting spectrum is continuous curve obtained as summation overlapped absorption spectra from analyte plus Gaussian error, we assume that individual can be expanded linear combination B-splines basis. then using two procedures estimating analytes' curves: basis smoothing splines. Prediction done by minimizing square...
Rapid technological advances have drastically improved the data collection capacity in occupational exposure assessment. However, advanced statistical methods for analyzing such and drawing proper inference remain limited. The objectives of this paper are (1) to provide new spatio-temporal methodology that combines from both roving static sensors processing hazard mapping across space over time an indoor environment, (2) compare method with current industry practice, demonstrating distinct...
Abstract Background: Little is known about the underpinning mechanisms of neurological dysfunction in post-COVID syndrome. Methods: We conducted a cross-sectional study 87 consecutive subjects after mild infection, with median 54 days diagnosis COVID-19. performed structured interviews, examinations, 3T-MRI scans, and neuropsychological assessments. The MRI included white matter investigation diffusion tensor images (DTI) functional connectivity resting-state (RS-fMRI). Results: Subjects...
Spline surfaces are often used to capture spatial variability sources in linear mixed-effects models, without imposing a parametric covariance structure on the random effects. However, including spline component semiparametric model may change estimated regression coefficients, problem analogous confounding spatially correlated Our research aims investigate such effects spline-based for data. We discuss estimators' behavior under traditional regression, how estimates confounding-like...
Calibration and prediction for NIR spectroscopy data are performed based on a functional interpretation of the Beer-Lambert formula. Considering that, each chemical sample, resulting spectrum is continuous curve obtained as summation overlapped absorption spectra from analyte plus Gaussian error, we assume that individual can be expanded linear combination B-splines basis. then using two procedures estimating analytes curves: basis smoothing splines. Prediction done by minimizing square...
Lumbar plexus schwannomas are a rare occurrence in neurosurgery, with few reported cases and no standard surgical approach. This study describes successful resection complications using the Wiltse approach.Patient presented an intra-psoas tumor suggesting schwannoma. We described technique involved step by step.The patient recovered from surgery complications. The anatomopathological examination confirmed schwannoma diagnosis. post operatory magnetic resonance imaging showed complete...
We employ nonparametric statistical procedures to analyse multitemporal SAR/PolSAR satellite images. The aim is two-fold. seek parsimony in data representation as well efficient change detection. For these, wavelets and geostatistical analyses are applied the images (Morettin et al., 2017; Krainski 2018). Following this representation, dimension of underlying generating process estimated (Fonseca Pinheiro, 2019), a set multivariate characteristics extracted. Change-points then detected via...
We propose a method for nonstationary covariance function modeling, based on the spatial deformation of Sampson and Guttorp [1992], but using low-rank, scalable written as linear combination tensor product B-spline basis. This approach addresses two important weaknesses in current computational aspects. First, it allows one to constrain estimated 2D deformations be non-folding (bijective) 2D. requirement model has, up now,been addressed only by arbitrary levels smoothing. Second, basis...