Results 201 to 210 of about 12,643 (297)
Portal hypertension, a critical complication in chronic liver disease, has long relied on invasive hepatic venous pressure gradient measurement for definitive diagnosis. This study establishes that multifrequency three‐dimensional magnetic resonance elastography (3D‐MRE) can noninvasively quantify portal pressure, with splenic stiffness and loss ...
Bai Du +6 more
wiley +1 more source
Progress of MXenes‐based responsive materials for soft sensors and actuators
MXene, a promising 2D material, excels at mimicking human sensing and feedback system, making it ideal for intelligent robots. This review first covers its structure, properties, and synthesis. It then summarizes recent MXene‐based sensors and actuator.
Peidi Zhou +10 more
wiley +1 more source
Evaluating Movements of Co‐Occurring Silver and Bighead Carp in a Small Missouri River Tributary
ABSTRACT Silver Carp Hypophthalmichthys molitrix and Bighead Carp Hypophthalmichthys nobilis commonly inhabit small tributaries of mainstem rivers. However, dynamic environmental conditions within these systems may influence their movement patterns differently than in larger rivers, potentially leading to important implications regarding their range ...
Seth M. Renner, Michael J. Weber
wiley +1 more source
HOWLish: a CNN for automated wolf howl detection
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos +3 more
wiley +1 more source
Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan +5 more
wiley +1 more source
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann +2 more
wiley +1 more source
Parameter choices in acoustic analyses (sampling frequency, FFT size and window overlap) strongly influence multivariate soundscape separation. Using terrestrial and coral reef recordings, we show that these settings can exaggerate or mask ecological differences, emphasizing the need for parameter sensitivity testing and transparent reporting in ...
Juan C. Azofeifa‐Solano +8 more
wiley +1 more source
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan +12 more
wiley +1 more source

