Results 91 to 100 of about 541,940 (268)

Survey methodology for detecting eastern massasauga rattlesnakes in southern Michigan

Wildlife Society Bulletin, 2019
The U.S. Fish and Wildlife Service listed the eastern massasauga rattlesnake (Sistrurus catenatus catenatus) as threatened in 2016 under the 1973 Endangered Species Act.
Stephanie A. Shaffer, Gary J. Roloff, Henry Campa III   +2 more
doaj   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Estimating ungulate abundance while accounting for multiple sources of observation error

Wildlife Society Bulletin, 2016
Whether a species is rare or overabundant, accurate estimates of population abundance are essential for the development and assessment of conservation plans and management goals.
Pat A. Terletzky, David N. Koons
doaj   +1 more source

Observation of Nociceptive Processing: Effect of Intra-Epidermal Electric Stimulus Properties on Detection Probability and Evoked Potentials. [PDF]

Brain Topogr, 2021
van den Berg B, Buitenweg JR.
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

The importance of simulation assumptions when evaluating detectability in population models

Ecosphere, 2019
Population monitoring is important for investigating a variety of ecological questions, and N‐mixture models are increasingly used to model population size (N) and trends (λ) while estimating detectability (p) from repeated counts within primary periods (
Adrian P. Monroe, Gregory T. Wann, Cameron L. Aldridge, Peter S. Coates   +3 more
doaj   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Life history traits influence method-specific detection of native and invasive amphibians

Frontiers in Amphibian and Reptile Science
IntroductionEfficient and effective monitoring is essential for informing conservation efforts and determining where to focus management actions. Newly arriving invasive and declining native taxa are often the focus of conservation programs, but these ...
Waverly Davis, Larissa Bailey, F. Boyd Wright   +2 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Quantifying abundance: counts, detection probabilities, and estimates

, 2009
Abstract Understanding temporal and spatial variation in distribution and abundance has been, and will remain, a central goal in amphibian ecology and conservation. Even though these two quantities, distribution and abundance, are so fundamental, we usually cannot observe them directly in the field. We rarely observe all individuals, all
Schmidt, B R, Pellet, J
openaire   +1 more source