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Articles 601 - 630 of 43232
Full-Text Articles in Entire DC Network
Strapped For Success, University Of Dayton
Strapped For Success, University Of Dayton
School of Business Administration Blog
What happens when you put football helmet safety and Flyer Nest, a new UD entrepreneurship capstone program, together? Saturn Sports, a business started by Hank Veeneman ’25 and Brayden Shepard ’25.
Ud In The News June 28-July 4, University Of Dayton
Ud In The News June 28-July 4, University Of Dayton
News Releases
A front page Dayton Daily News story featured the University's 175th anniversary and its place as an anchor institution for the region. Two national publications highlighted programs in the School of Law.
Synthesis And Characterization Of Temperature- And Ph-Responsive Pia-B-Pnipam@Fe3O4 Nanocomposites, Swati Kumari, Cayla Cook, Fatema Tarannum, Erick Salvador Vasquez-Guardado, Olufemi Ogunjimi, Keisha B. Walters
Synthesis And Characterization Of Temperature- And Ph-Responsive Pia-B-Pnipam@Fe3O4 Nanocomposites, Swati Kumari, Cayla Cook, Fatema Tarannum, Erick Salvador Vasquez-Guardado, Olufemi Ogunjimi, Keisha B. Walters
Chemical and Materials Engineering Faculty Publications
Stimuli-responsive polymers (SRPs) have garnered significant attention in recent decades due to their immense potential in biomedical and environmental applications. When these SRPs are grafted onto magnetic nanoparticles, they form multifunctional nanocomposites capable of various complex applications, such as targeted drug delivery, advanced separations, and magnetic resonance imaging. In this study, we employed a one-step hydrothermal method using 3-aminopropyltrimethoxysilane (APTES) to synthesize APTES-modified Fe3O4 nanoparticles (APTES@Fe3O4) featuring reactive terminal amine groups. Subsequently, via two consecutive surface-initiated atom transfer radical polymerizations (SI-ATRP), pH- and temperature-responsive polymer blocks were grown from the Fe3O …
Commentary On Blaser's "Antibiotic Use And Its Consequences For The Normal Microbiome", Fred C. Tenover
Commentary On Blaser's "Antibiotic Use And Its Consequences For The Normal Microbiome", Fred C. Tenover
AMR Commentary
If you have not read this eye-opening commentary by Dr. Martin Blaser about the negative impact of the widespread use of antibiotics in children, you should. The goal of giving antibiotics to children usually is to treat an infection — an earache, a respiratory tract infection, or perhaps a potentially deadly bloodstream infection. Those antibiotics, however, will often kill more than just the bacteria that are causing the infection. Humans have large quantities of “good bacteria” in our intestinal tracts, on our skin, and elsewhere on our body that play an important role in keeping us healthy.
3d Solid Models, Bradley M. Ratliff
3d Solid Models, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
3D solid models for model vehicles, target panels, objects, and the desert terrain model in STL file format.
Ground Truth Images, Bradley M. Ratliff
Ground Truth Images, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Laboratory and scenario ground truth images for the Model Desert Terrain Monochromatic DoT dataset.
Polarimetric Data: Moderate Scenarios 01 - 04, Bradley M. Ratliff
Polarimetric Data: Moderate Scenarios 01 - 04, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data moderate configuation Scenarios M01 through M04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Sparse Scenarios 01 - 04, Bradley M. Ratliff
Polarimetric Data: Sparse Scenarios 01 - 04, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data sparse configuation Scenarios S01 through S04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Asl File Reader (Matlab), Bradley M. Ratliff
Asl File Reader (Matlab), Bradley M. Ratliff
Source Code
This zip file contains the necessary files for reading binary ASL data and reading and parsing ASL header file metadata in MATLAB.
Ground Truth Images, Bradley M. Ratliff
Ground Truth Images, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Laboratory and scenario ground truth images for the Model Parking Lot RGB DoFP dataset.
Polarimetric Data: Scenario 07, Bradley M. Ratliff
Polarimetric Data: Scenario 07, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 07 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Scenario 01, Bradley M. Ratliff
Polarimetric Data: Scenario 01, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 01 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Dataset Description, Bradley M. Ratliff
Dataset Description, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric dataset containing data collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. A model desert terrain model was constructed and imaged for eight different scenarios consisting of different model panel and vehicle targets. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Laboratory And Data Preview Animations, Bradley M. Ratliff
Laboratory And Data Preview Animations, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Contains video animations for each ARSSS laboratory experiment previews for each polarimetric data file in animated GIF format for the Model Desert Terrain Monochromatic DoT dataset.
Polarimetric Data: Scenario 04, Bradley M. Ratliff
Polarimetric Data: Scenario 04, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Scenario 08, Bradley M. Ratliff
Polarimetric Data: Scenario 08, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Data Annotations, Bradley M. Ratliff
Data Annotations, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Parking Lot RGB DoFP data.
Data Preview Animations, Bradley M. Ratliff
Data Preview Animations, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Contains video animations for each polarimetric data file in animated GIF format for the Model Parking Lot RGB DoFP dataset.
Polarimetric Data: Sparse Scenarios 05 - 08, Bradley M. Ratliff
Polarimetric Data: Sparse Scenarios 05 - 08, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data sparse configuation Scenarios S05 through S08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Sparse Scenarios 13 - 16, Bradley M. Ratliff
Polarimetric Data: Sparse Scenarios 13 - 16, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data sparse configuation Scenarios S13 through S16 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Utility Functions (Matlab), Bradley M. Ratliff
Utility Functions (Matlab), Bradley M. Ratliff
Source Code
This zip file contains various utility functions for working with polarimetric image data that are particularly useful for working with imaging polarimeter data produced by the Applied Sensing Lab.
Polarimetric Data: Scenario 02, Bradley M. Ratliff
Polarimetric Data: Scenario 02, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 02 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Dense Scenarios 01 - 04, Bradley M. Ratliff
Polarimetric Data: Dense Scenarios 01 - 04, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data dense configuation Scenarios D01 through D04 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Sparse Scenarios 09 - 12, Bradley M. Ratliff
Polarimetric Data: Sparse Scenarios 09 - 12, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data sparse configuation Scenarios S09 through S12 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Data Annotations, Bradley M. Ratliff
Data Annotations, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Pixel-wise object masks for each polarimetric scene in ASL file format for the Model Desert Terrain Monochromatic DoT data.
Polarimetric Data: Scenario 06, Bradley M. Ratliff
Polarimetric Data: Scenario 06, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 06 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Moderate Scenarios 05 - 08, Bradley M. Ratliff
Polarimetric Data: Moderate Scenarios 05 - 08, Bradley M. Ratliff
Model Parking Lot RGB DoFP Dataset
Polarimetric data moderate configuation Scenarios M05 through M08 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible RGB division-of-focal-plane imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Scenario 05, Bradley M. Ratliff
Polarimetric Data: Scenario 05, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 05 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Polarimetric Data: Scenario 03, Bradley M. Ratliff
Polarimetric Data: Scenario 03, Bradley M. Ratliff
Model Desert Terrain Monochromatic DoT Dataset
Polarimetric data Scenario 03 collected within the Automated Remote Sensing Solar Simulation Lab at the University of Dayton. The data were collected using a visible monochromatic division-of-time imaging polarimeter. The dataset is parameterized across different sensor, scene, and illumination geometries that mimic outdoor solar irradiance conditions.
Magnetic Nanoparticles: Synthesis And Applications In Life Sciences, Kishore Chand, Erick Salvador Vasquez
Magnetic Nanoparticles: Synthesis And Applications In Life Sciences, Kishore Chand, Erick Salvador Vasquez
Chemical and Materials Engineering Faculty Publications
Magnetic nanoparticles (MNPs) are multifunctional materials with superparamagnetic properties and tunable surface chemistries, making them valuable across diverse fields, such as biomedicine, environmental remediation, and agriculture. This review examines recent advancements in MNP synthesis, encompassing chemical, physical, and environmentally friendly methods while highlighting improvements in size, morphology, and composition control that enhance application-specific performance and environmental sustainability. The review discusses various architectures, including single-core, core–shell, hybrid composites, and stimuli–responsive systems, with an emphasis on their stability, scalability, and functionalization potential. In biomedical applications, MNPs show promise in targeted drug delivery, magnetic hyperthermia, and magnetic resonance imaging contrast enhancement, where biocompatibility, …