A5029565728- Neonatal and fetal brain pathology
- Neonatal Respiratory Health Research
- Statistical Methods and Bayesian Inference
- Animal Disease Management and Epidemiology
- Soil Geostatistics and Mapping
- Data-Driven Disease Surveillance
- Bayesian Modeling and Causal Inference
- Zoonotic diseases and public health
- Species Distribution and Climate Change
- Bayesian Methods and Mixture Models
- Statistical Methods and Inference
- Agriculture and Farm Safety
- Water resources management and optimization
- Probabilistic and Robust Engineering Design
- Migration, Aging, and Tourism Studies
- Genetic and phenotypic traits in livestock
- Wildlife Ecology and Conservation
- Rangeland and Wildlife Management
- Gaussian Processes and Bayesian Inference
- Biochemical Analysis and Sensing Techniques
- Spectroscopy and Chemometric Analyses
- Advanced Multi-Objective Optimization Algorithms
- SARS-CoV-2 detection and testing
- Biosensors and Analytical Detection
- Advanced biosensing and bioanalysis techniques
University of Florida
2015-2025
University of Georgia
2023
KU Leuven
2022
Lund University
2022
Ben-Gurion University of the Negev
2022
Soroka Medical Center
2022
Universitair Ziekenhuis Leuven
2022
Florida Museum of Natural History
2020
Indiana University Bloomington
2016
Texas A&M University
2011
Although they are staple foods in cuisines globally, many commercial fruit varieties have become progressively less flavorful over time. Due to the cost and difficulty associated with flavor phenotyping, breeding programs long been challenged selecting for this complex trait. To address issue, we leveraged targeted metabolomics of diverse tomato blueberry accessions their corresponding consumer panel ratings create statistical machine learning models that can predict sensory perceptions...
We presenta Bayesian approach to model calibration when evaluation of the is computationally expensive. Here, a nonlinear regression problem: given data vector Y corresponding f(β), find plausible values β. As an intermediate step, and f are embedded into statistical allowing transformation dependence. Typically, this problem solved by sampling from posterior distribution β using MCMC. To reduce computational cost, we limit small number points chosen on high density region found...
SARS-CoV-2 virus induced CoVID-19 pandemic has accelerated the development of diagnostic tools. Devices integrated with electrochemical biosensors may be an interesting alternative to respond high demand for testing, particularly in contexts where access standard detection technologies is lacking. Aptamers as recognition elements are useful due their stability, specificity, and sensitivity binding target molecules. We have developed a non-invasive aptamer-based biosensor targeting human...
<b><i>Background:</i></b> Withholding enteral feedings during hypothermia lacks supporting evidence. <b><i>Objectives:</i></b> We aimed to determine if minimal nutrition (MEN) in patients with hypoxic-ischemic encephalopathy was associated a reduced duration of parenteral nutrition, time full oral feeds, and length stay, but would not be increased systemic inflammation or feeding complications. <b><i>Methods:</i></b>...
Laser-inscribed graphene (LIG), initially developed for supercapacitors, has found widespread use in sensor research and development, particularly as a platform low-cost electrochemical sensing. However, batch-to-batch variation LIG fabrication introduces uncertainty that cannot be adequately tracked during manufacturing process, limiting scalability. Therefore, there is an urgent need robust quality control (QC) methodologies to identify select similar functional electrodes fabrication. For...
Reuse of alternative water sources for irrigation (e.g., untreated surface water) is a sustainable approach that has the potential to reduce gaps, while increasing food production. However, when growing fresh produce, this practice increases risk bacterial contamination. Thus, rapid and accurate identification pathogenic organisms such as Shiga-toxin producing Escherichia coli (STEC) crucial resource management using water(s). Although many biosensors exist monitoring pathogens in systems,...
Abstract Little is known about the mechanisms mediating development of repetitive behaviors in human or animals. Deer mice reared with environmental enrichment (EE) exhibit fewer and greater indirect basal ganglia pathway activation as adults than those standard cages. The developmental progression these behavioral neural circuitry changes has not been characterized. We assessed behavior deer using both a longitudinal cohort design. Repeated testing negated expected effect EE, but analyses...
Preterm infants bypass the crucial in utero period of brain development and are at increased risk malnutrition. We aimed to determine if their nutritional status is associated with tissue volumes term equivalent age (TEA), applying recently published malnutrition guidelines for preterm infants. performed a single center retrospective chart review 198 < 30 weeks’ gestation between 2018 2021. primarily analyzed relationship manually obtained neonatal MR-based maximum weight length z-score....
Bayesian inference using Markov chain Monte Carlo (MCMC) is computationally prohibitive when the posterior density of interest,
Long‐term watering restrictions for single‐family residential customers in southwest Florida coincided with lower irrigation. Irrigation demand (landscape water applied) was estimated from monthly billing records of approximately 127,250 1998 to 2010. Mean irrigation demands under that limited two days/week and one day/week were calculated each customer summed yield annual demands. Annual 13% (9.8 versus 11.3 in./year), while the required by landscape as a result weather conditions 3% higher...
Repetitive behaviors are diagnostic for autism spectrum disorders, common in related neurodevelopmental and normative typical development. In order to identify factors that mediate repetitive behavior development, it is necessary characterize the expression of these from an early age. Extending previous findings, we characterized further ontogeny stereotyped motor both terms frequency temporal organization deer mice. A three group trajectory model provided a good fit frequencies across eight...
Estimation of covariance function parameters the error process in presence an unknown smooth trend is important problem because solving it allows one to estimate nonparametrically using a smoother corrected for dependence errors. Our work motivated by spatial statistics but applicable other contexts where dimension index set can exceed one. We obtain estimator regressing squared differences response on their expectations, which equal variogram plus offset term induced trend. Existing...
Motor behaviors that are repetitive and exhibit little variability in form common neurodevelopmental disorders (e.g., autism spectrum disorder). C58 mice persistent, high levels of motor behavior when reared restricted, but not enriched, environments implicating epigenetic mechanisms DNA methylation). We sought to determine if alteration methylation played a role the development mice. Thus, we tested hypothesis early exposure (in utero preweaning) methyl donor supplemented diet would alter...
This article investigates Bayesian variable selection when there is a hierarchical dependence structure on the inclusion of predictors in model. In particular, we study type found polynomial response surfaces orders two and higher, whose model spaces are required to satisfy weak or strong heredity conditions. These conditions restrict higher-order terms depending upon lower-order parent terms. We develop classes priors space, investigate their theoretical finite sample properties, provide...
Spatio-temporal prediction of levels an environmental exposure is important problem in epidemiology. Our work motivated by multiple studies on the spatio-temporal distribution mobile source, or traffic related, particles greater Boston area. When sources information are available, a joint model that pools across maximizes data coverage over both space and time, thereby reducing error. We consider Bayesian hierarchical framework which consists set submodels, one for each latent process serves...
Objective To determine the concentrations of four neuroprotein biomarkers and 68 miRNAs in neonates with low cord pH and/or mild hypoxic-ischemic encephalopathy (HIE). Study Design A prospective cohort study enrolled ( n = 18), moderate-severe HIE 40), healthy controls 38). Groups provided serum samples at 0–6 h life. The were compared between cohorts. Result groups had increased GFAP, NFL Tau to P &lt; 0.05, 0.001, respectively). was higher than 0.05) but less 0.001). Of miRNAs, 36...