Search Results - "Georgopoulos, Panos G"

Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States by Ren, Xiang, Mi, Zhongyuan, Georgopoulos, Panos G.

“…[Display omitted] •Applied 13 Machine Learning (ML) algorithms for ozone within 2 modeling frameworks.•Tuned sample weights to improve peak…”
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Physiologically-based toxicokinetic modeling of zearalenone and its metabolites: application to the Jersey girl study by Mukherjee, Dwaipayan, Royce, Steven G, Alexander, Jocelyn A, Buckley, Brian, Isukapalli, Sastry S, Bandera, Elisa V, Zarbl, Helmut, Georgopoulos, Panos G

“…Zearalenone (ZEA), a fungal mycotoxin, and its metabolite zeranol (ZAL) are known estrogen agonists in mammals, and are found as contaminants in food. Zeranol,…”
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Modulation of Human Macrophage Responses to Mycobacterium tuberculosis by Silver Nanoparticles of Different Size and Surface Modification by Sarkar, Srijata, Leo, Bey Fen, Carranza, Claudia, Chen, Shu, Rivas-Santiago, Cesar, Porter, Alexandra E, Ryan, Mary P, Gow, Andrew, Chung, Kian Fan, Tetley, Teresa D, Zhang, Junfeng Jim, Georgopoulos, Panos G, Ohman-Strickland, Pamela A, Schwander, Stephan

“…Exposure to silver nanoparticles (AgNP) used in consumer products carries potential health risks including increased susceptibility to infectious pathogens…”
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Bayesian analysis of climate change effects on observed and projected airborne levels of birch pollen by Zhang, Yong, Isukapalli, Sastry S., Bielory, Leonard, Georgopoulos, Panos G.

“…A Bayesian framework is presented for modeling effects of climate change on pollen indices such as annual birch pollen count, maximum daily birch pollen count,…”
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Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States by Ren, Xiang, Cai, Ting, Mi, Zhongyuan, Bielory, Leonard, Nolte, Christopher G., Georgopoulos, Panos G.

“…Exposures to airborne allergenic pollen have been increasing under the influence of changing climate. A modeling system incorporating pollen emissions and…”
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Tree (Oak and Birch) Season and Climate Change in the Continental United States (CONUS) from 2000 to 2050 by Bielory, Leonard, MD, FAAAAI, Zhang, Yong, PhD, Mi, Zhongyuan, Cai, Ting, Georgopoulos, Panos G., PhD

“…Methods A modeling system incorporating a meteorology model (WRF), a pollutant emission model (SMOKE), a pollen emission model and an air quality model (CMAQ)…”
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Health and Environmental Consequences of the World Trade Center Disaster by Landrigan, Philip J., Lioy, Paul J., Thurston, George, Berkowitz, Gertrud, Chen, L. C., Chillrud, Steven N., Gavett, Stephen H., Georgopoulos, Panos G., Geyh, Alison S., Levin, Stephen, Perera, Frederica, Rappaport, Stephen M., Small, Christopher, The NIEHS World Trade Center Working Group

“…The attack on the World Trade Center (WTC) created an acute environmental disaster of enormous magnitude. This study characterizes the environmental exposures…”
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Computational multiscale toxicodynamic modeling of silver and carbon nanoparticle effects on mouse lung function by Mukherjee, Dwaipayan, Botelho, Danielle, Gow, Andrew J, Zhang, Junfeng, Georgopoulos, Panos G

“…A computational, multiscale toxicodynamic model has been developed to quantify and predict pulmonary effects due to uptake of engineered nanomaterials (ENMs)…”
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Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches by Ren, Xiang, Mi, Zhongyuan, Georgopoulos, Panos G.

“…Background Disparities in adverse COVID-19 health outcomes have been associated with multiple social and environmental stressors. However, research is needed…”
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Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations by Ren, Xiang, Mi, Zhongyuan, Cai, Ting, Nolte, Christopher G, Georgopoulos, Panos G

“…3D-grid-based chemical transport models, such as the Community Multiscale Air Quality (CMAQ) modeling system, have been widely used for predicting…”
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Impact of Biogenic Emission Uncertainties on the Simulated Response of Ozone and Fine Particulate Matter to Anthropogenic Emission Reductions by Hogrefe, Christian, Isukapalli, Sastry S., Tang, Xiaogang, Georgopoulos, Panos G., He, Shan, Zalewsky, Eric E., Hao, Winston, Ku, Jia-Yeong, Key, Tonalee, Sistla, Gopal

“…The role of emissions of volatile organic compounds and nitric oxide from biogenic sources is becoming increasingly important in regulatory air quality…”
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Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in the United States by Zhang, Yong, Bielory, Leonard, Georgopoulos, Panos G

“…Climatic change is expected to affect the spatiotemporal patterns of airborne allergenic pollen, which has been found to act synergistically with common air…”
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Differential gene expression profiling of mouse skin after sulfur mustard exposure: Extended time response and inhibitor effect by Gerecke, Donald R., Chen, Minjun, Isukapalli, Sastry S., Gordon, Marion K., Chang, Yoke-Chen, Tong, Weida, Androulakis, Ioannis P., Georgopoulos, Panos G.

“…Sulfur mustard (HD, SM), is a chemical warfare agent that within hours causes extensive blistering at the dermal–epidermal junction of skin. To better…”
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Tissue-Level Modeling of Xenobiotic Metabolism in Liver: An Emerging Tool for Enabling Clinical Translational Research by Lerapetritou, Marianthi G., Georgopoulos, Panos G., Roth, Charles M., Androulakis, Loannis P.

“…This review summarizes some of the recent developments and identifies critical challenges associated with in vitro and in silico representations of the liver…”
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Modeling Effects of Spatial Heterogeneities and Layered Exposure Interventions on the Spread of COVID-19 across New Jersey by Ren, Xiang, Weisel, Clifford P., Georgopoulos, Panos G.

“…COVID-19 created an unprecedented global public health crisis during 2020–2021. The severity of the fast-spreading infection, combined with uncertainties…”
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Per and polyfluoroalkyl substances (PFAS) blood levels after contamination of a community water supply and comparison with 2013–2014 NHANES by Graber, Judith M., Alexander, Cora, Laumbach, Robert J., Black, Kathleen, Strickland, Pamela Ohman, Georgopoulos, Panos G., Marshall, Elizabeth G., Shendell, Derek G, Alderson, Donald, Mi, Zhongyuan, Mascari, Michael, Weisel, Clifford P.

“…Introduction Per and polyfluoroalkyl substances (PFAS), including perfluorononanoic acid (PFNA) and perfluorooctanoic acid (PFOA), were detected in the…”
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Mathematical model of uptake and metabolism of arsenic(III) in human hepatocytes - Incorporation of cellular antioxidant response and threshold-dependent behavior by Stamatelos, Spyros K, Brinkerhoff, Christopher J, Isukapalli, Sastry S, Georgopoulos, Panos G

“…Arsenic is an environmental pollutant, potent human toxicant, and oxidative stress agent with a multiplicity of health effects associated with both acute and…”
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Modeling In Vitro Cellular Responses to Silver Nanoparticles by Zhang, Junfeng, Georgopoulos, Panos G., Tetley, Teresa D., Porter, Alexandra E., Ryan, Mary P., Schwander, Stephan, Thorley, Andrew, Sarkar, Srijata, Royce, Steven G., Mukherjee, Dwaipayan, Chung, Kian Fan

“…Engineered nanoparticles (NPs) have been widely demonstrated to induce toxic effects to various cell types. In vitro cell exposure systems have high potential…”
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Biomonitoring: A tool to assess PFNA body burdens and evaluate the effectiveness of drinking water intervention for communities in New Jersey by Yu, Chang Ho, Weisel, Clifford P., Alimokhtari, Shahnaz, Georgopoulos, Panos G., Fan, Zhihua (Tina)

“…Elevated perfluorononanoic acid (PFNA) levels, one of many manmade per- and polyfluoroalkyl substances (PFAS), were detected in public water systems/private…”
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Development of a semi-mechanistic allergenic pollen emission model by Cai, Ting, Zhang, Yong, Ren, Xiang, Bielory, Leonard, Mi, Zhongyuan, Nolte, Christopher G., Gao, Yang, Leung, L. Ruby, Georgopoulos, Panos G.

“…Modeling pollen emission processes is crucial for studying the spatiotemporal distributions of airborne allergenic pollen. A semi-mechanistic emission model…”
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