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PATS Detailed Treatment Protocol
This is a detailed treatment protocol for PATS: Program for Advanced Treatment of Stuttering (copyright: Nathan Maxfield)
Long-chain Acyl-CoA Synthetase 3 (ACSL3) in Vascular Dementia
The raw data of research article "ACSL3 is a promising therapeutic target for alleviating anxiety and depression in Alzheimer's disease
MD-NOS1 KO
Background: Acute kidney injury (AKI) causes rapid loss of renal function and leads to high morbidity and mortality. Our previous research has shown that neuronal nitric oxide synthase (NOS1) influences nitric oxide (NO)-mediated dilation of the afferent arteriole, thereby inhibiting tubuloglomerular feedback (TGF), which plays a critical role in glomerular filtration rate (GFR). Methods: We generated inducible macula densa–specific NOS1 knockout mice (NKCC2-Cre- NOS1 flox/flox) and introduced AKI by 18 min bilateral renal ischemia at 37 °C, followed by 48 h reperfusion. The kidney injury was assessed by measuring GFR, plasma creatinine, histology, cytokines, apoptosis, fibrotic factors, and proteomics. Results: Deletion of NOS1 was confirmed through immunofluorescence double staining of NKCC2 and NOS1. The results showed that crossing NKCC2 cre line with NOS1 flox line induces a complete deletion of NOS1 from the macula densa cells. In response to IR-AKI, compared with wild-type controls, NOS1 knockouts showed a dramatic GFR decline (236 ± 66 to 24 ± 22 µL/min) and elevated creatinine, alongside more severe tubular damages evidenced by H&E staining. Cytokine array analysis showed chemokines such as MCP-1, CXCL1 and macrophage marker CD68 were significantly increased; Western blot analysis showed cleaved caspase-3 levels were significantly increased, indicating enhanced apoptosis. Additionally, fibrosis markers TIMP1, collagen-3, and α-SMA were significantly upregulated at both mRNA and protein levels. We further observed increased hypoxia marker HIF-1α in MD-NOS1 KO mice. Global label-free proteomic profiling with targeted validation identified genotype-dependent responses involving haptoglobin, Tacstd2, and Cyp20a1, linking NOS1 deficiency to exaggerated inflammatory, fibrotic, and metabolic pathways. Conclusions: These findings highlight a novel role of NOS1 in AKI pathophysiology and suggest targeting NOS1 could be a therapeutic strategy to mitigate AKI severity, identified Hp as a downstream plasma signal of NOS1-dependent AKI responses, suggesting potential translational value pending human validation.
Comparative Efficiency of Swab Types for Recovery of Escherichia coli and HF183 from Household Surfaces
This dataset contains measurements of fecal indicator bacteria (Escherichia coli) and microbial source tracking (MST) gene markers (HF183 and EC23S857), as well as detections of culturable E. coli from tile surfaces experimentally inoculated with sewage influent. Swabbing was conducted using three swab types (i.e., polyester, foam, and nylon-flocked) across three surface treatments: wet (immediate recapture), dry (recapture 20–25 minutes post-inoculation), and 24-hours dry. E. coli culture results are reported in colony forming units (CFU) per milliliter (mL), while qPCR-derived gene marker concentrations are expressed as gene copies (GC) per 100 cm². Experiments were conducted in the Harwood laboratory at the University of South Florida to assess swab recapture and efficiency of recovery under varying moisture and time-delay conditions. Data may be used to evaluate microbial persistence on surfaces and inform sampling protocol development for environmental monitoring and public health surveillance
Monthly Sargassum Wet Biomass Estimates in the Western North Atlantic from MODIS Satellite Observations
This dataset provides monthly mean Sargassum wet biomass estimates (in million metric tons) from March 2000 to February 2024, derived from MODIS observations using the methodology described in Hu et al. (2023). The data cover several subregions, including the North Sargasso Sea (NSS), South Sargasso Sea (SSS), Gulf Stream Region (GSR), Antilles Current Region (ACR), Great Atlantic Sargassum Belt (GASB), and the Northwestern Gulf of Mexico (NW_GoM). The locations of these subregions are provided in the attached READ ME file.
Briefly, each image pixel is classified into one of the three types using a deep-learning computer model: Sargassum containing, Sargassum free, and invalid observation (clouds, cloud shadows, strong sun glint, etc). Then the Sargassum containing pixels are further spectrally unmixed to determine the subpixel percent (%) cover within each pixel. For a pre-gridded Sargassum map, the mean Sargassum percent cover in each 0.5-degree grid is calculated as the arithmetic average of all image pixels (both Sargassum containing and Sargassum free) in that grid collected by the satellite during that calendar month. Such a mean percent cover is converted to Sargassum wet biomass using a calibration constant of 3.34 kg per square meter of Sargassum determined from field measurements (Wang et al., 2018). Integration of the grid-specific biomass across all grids within a subregion leads to the mean Sargassum biomass for that subregion. These steps were applied to MODIS/Terra (2000 – 2024) and MODIS/Aqua (2002 – 2024) separately, with the final maps being the arithmetic average between the two.
In the above steps, all MODIS data were downloaded from NASA OB.DAAC (https://oceancolor.gsfc.nasa.gov) and processed using the NASA software SeaDAS (version 8.0). The deep-learning model and spectral unmixing model as well as the method to calculate monthly means were all developed at the Optical Oceanography Lab of the University of South Florida using computer codes developed in house. The daily and weekly Sargassum maps have been made available through their Sargassum Watch System (SaWS) website: https://optics.marine.usf.edu/projects/saws.html.
Hu, C., Zhang, S., Barnes, B.B., Xie, Y., Wang, M., Cannizzaro, J.P., & English, D.C. (2023). Mapping and quantifying pelagic Sargassum in the Atlantic Ocean using multi‐band medium‐resolution satellite data and deep learning. Remote Sensing of Environment, 289, 113515. https://doi.org/10.1016/j.rse.2023.113515.
Wang, M., Hu, C., Cannizzaro, J., English, D., Han, X., Naar, D., Lapointe, B., Brewton, R. and Hernandez, F. (2018). Remote sensing of Sargassum biomass, nutrients, and pigments. Geophysical Research Letters, 45(22), pp.12-359. https://doi.org/10.1029/2018GL078858
Key Performance Indicators for Cultural Resonance
Data collected from on-line survey of Haitian American participants reviewing ad concepts created to promote COVID-19 vaccination as well as student ratings of ads using cultural resonance checklist
PFAS in sediments and fishes in Tampa Bay
The objective of this study is to quantify PFASs in sediment and fishes collected from Tampa Bay to further estimate human health risks from dietary exposures. Sediment (n = 17) and fish (24 species, n = 140) were collected throughout Tampa Bay in 2020 and 2021 and analyzed for 25 PFAS compounds. Concentrations of PFASs in sediments and edible tissues of fish ranged from 36.8 to 2,990 ng kg-1 (dry weight) and 307 to 33,600 ng kg-1 (wet weight), respectively. Generally, levels were highest in Old Tampa Bay and decreased south towards the Gulf of Mexico. Profiles in both matrices were generally dominated by perfluorooctane sulfonic acid (PFOS) with variations by location
Spectrophotometric determinations of ∆pH/∆T
This data supports the findings in the manuscript titled "Predicting pH at in-situ temperature for aquatic environments". Experiments were performed to analyze how the pH of seawater changes with changing temperature conditions (∆pH/∆T) across a range of salinities. Data was collected by measuring pH spectrophotometrically with simultaneous temperature measurements via a mini surface temperature probe. The total alkalinity (AT) of the seawater sample and salinity were measured for each sample to fully define the marine CO2 system. ∆pH/∆T was determined for a pH (at 25°C) range of 7.2–8.2, a temperature range of 15–40°C and salinities 10.1, 20.2, 30.2, and 36.1
South China Sea and Luzon Arc Geochemistry
Reference data used for the fourth chapter of dissertation regarding the igneous basement and marine sediment of the South China Sea, the igneous material of Northern Luzon Island IAB, Luzon Strait, and reference materials from the Pacific, Philippine and other globally utilized standards
Data from: Persistence of Sewage-Associated Genes in Conventional and Advanced Treated Recycled Water: Implications for Microbial Source Tracking in Surface Waters
This dataset contains measurements of concentrations of microbial source tracking markers (EC23S857, HF183, H8 marker, and CPQ_056) and culturable Escherichia coli including the proportion that carry the sewage-associated H8 gene (cH8). Sewage and recycled water were sampled on three separate events from three advanced and three conventional wastewater treatment facilities in central Florida to explore differences in the persistence of microbial variables. We determined which treatment (advanced or conventional) was more effective in the reduction of microorganisms and their DNA in both bacteria and the viral marker crAssphage CPQ_056