Results 1 to 10 of about 323,525 (301)

Development of a Fully Convolutional Neural Network to Derive Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC

Remote Sensing, 2021
Timely observations of nearshore water depths are important for a variety of coastal research and management topics, yet this information is expensive to collect using in situ survey methods.
Adam M. Collins, Matthew P. Geheran, Tyler J. Hesser, Andrew Spicer Bak, Katherine L. Brodie, Matthew W. Farthing   +5 more
doaj   +1 more source

The Impact of Inherited Morphology on Sandbar Migration During Mild Wave Seasons

Geophysical Research Letters, 2023
Sandbars are ubiquitous morphologic features found in the nearshore environment throughout the world, yet predictive capabilities of their evolution remain limited.
Dylan Anderson, A. Spicer Bak, Nicholas Cohn, Katherine L. Brodie, Bradley Johnson, Patrick Dickhudt   +5 more
doaj   +1 more source

Alongshore Variable Accretional and Erosional Coastal Foredune Dynamics at Event to Interannual Timescales

Earth and Space Science, 2022
Natural and constructed dunes are increasingly being utilized to buffer flooding impacts from storms and rising sea levels along sandy coastlines. However, a lack of data at the appropriate spatial and temporal resolution often precludes isolating the ...
Nicholas Cohn, Katherine Brodie, Ian Conery, Nicholas Spore   +3 more
doaj   +1 more source

CIRN Quantitative Coastal Imaging Toolbox

SoftwareX, 2020
The Coastal Imaging Research Network (CIRN)’s Quantitative Coastal Imaging Toolbox is a collection of MATLAB scripts to produce georectified images specifically tailored for quantitative analysis of coastal environments.
Brittany L. Bruder, Katherine L. Brodie
doaj   +1 more source

Evaluation of Tumor Grade and Proliferation Indices before and after Short-Course Anti-Inflammatory Prednisone Therapy in Canine Cutaneous Mast Cell Tumors: A Pilot Study

Veterinary Sciences, 2022
Glucocorticoid administration is a common clinical practice that attempts to decrease the inflammation associated with and improve the resectability of canine mast cell tumors (MCTs). However, the impact of neoadjuvant glucocorticoids on the histological
Shawna Klahn, Nikolaos Dervisis, Kevin Lahmers, Marian Benitez   +3 more
doaj   +1 more source

Brucella abortus RB51 ΔleuB expressing Salmonella FliC conjugated gonadotropins reduces mouse fetal numbers: A possible feral swine brucellosis immunocontraceptive vaccine

Heliyon, 2021
Population and health management of wildlife is a key to environmental health, domestic herd health, and ultimately public health. Many different methods including: surgical sterilization, poison baits, and sponsored hunting programs have been used in ...
Steven G. Waldrop, Garrett P. Smith, Stephen M. Boyle, Nammalwar Sriranganathan   +3 more
doaj   +1 more source

The Coastal Imaging Research Network (CIRN)

Remote Sensing, 2022
The Coastal Imaging Research Network (CIRN) is an international group of researchers who exploit signatures of phenomena in imagery of coastal, estuarine, and riverine environments.
Margaret L. Palmsten, Katherine L. Brodie   +1 more
doaj   +1 more source

Field Observations of the Evolution of Plunging‐Wave Shapes

Geophysical Research Letters, 2021
There are few high‐resolution field observations of the water surface during breaking owing to the difficulty of collecting spatially dense measurements in the surf zone, and thus the factors influencing breaking‐wave shape in field conditions remain ...
Annika O'Dea, Katherine Brodie, Steve Elgar   +2 more
doaj   +1 more source

Agreement between Electrical Cardiometry and Pulmonary Artery Thermodilution for Measuring Cardiac Output in Isoflurane-Anesthetized Dogs

Animals, 2023
In animals, invasive pulmonary artery thermodilution (PATD) is a gold standard for cardiac output (CO) monitoring, but it is impractical in clinical settings. This study evaluates the agreement between PATD and noninvasive electrical cardiometry (EC) for
Vaidehi V. Paranjape, Natalia Henao-Guerrero, Giulio Menciotti, Siddharth Saksena, Manuela Agostinho   +4 more
doaj   +1 more source

Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning

Remote Sensing, 2020
Resolving surf-zone bathymetry from high-resolution imagery typically involves measuring wave speeds and performing a physics-based inversion process using linear wave theory, or data assimilation techniques which combine multiple remotely sensed ...
Adam M. Collins, Katherine L. Brodie, Andrew Spicer Bak, Tyler J. Hesser, Matthew W. Farthing, Jonghyun Lee, Joseph W. Long   +6 more
doaj   +1 more source