Results 121 to 130 of about 166,499 (273)

Criteria for selecting the Paganin‐filter reconstruction parameter in X‐ray phase‐contrast tomography

Journal of Synchrotron Radiation, EarlyView.
The development of a criterion for near‐optimal selection of the Paganin‐filter parameter based on noise power analysis measured via an image's noise power spectrum is described.The Paganin filter, widely employed in propagation‐based phase‐contrast X‐ray computed tomography with synchrotron light, attenuates phase effects and suppresses high‐frequency
Eduardo X. Miqueles, Everton L. de Oliveira, Murilo Carvalho, David M. Paganin   +3 more
wiley   +1 more source

Trait coevolution and causal inference using generalized dynamic phylogenetic models

Methods in Ecology and Evolution, EarlyView.
Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen, Scott Claessens, Jordan S. Martin, Adrian V. Jaeggi   +3 more
wiley   +1 more source

Managing the Threat of Subsidized Predators for a Threatened Shorebird

Animal Conservation, EarlyView.
Subsidized predators—native predators that have become more common due to human activities—challenge the persistence of many at‐risk prey species and require creative solutions beyond lethal predator control. In an 8‐year study, we placed small wire cages over western snowy plover nests that allow passage of plovers, but not their predators, and ...
R. R. Swaisgood, R. L. Smith, J. G. Schuetz, T. Wooten, L. I. Vilchis   +4 more
wiley   +1 more source

Mesopic microperimetry in Stargardt disease: Application and reliability

Acta Ophthalmologica, EarlyView.
Abstract Purpose Mesopic microperimetry (mMP) is a promising functional endpoint in clinical trials for Stargardt disease type 1 (STGD1). This study evaluated the test–retest variability of mMP and influencing factors, which is essential for ensuring reliability in future STGD1 trials.
Sybren H. Kootstra, Jeroen A. A. H. Pas, Patty P. A. Dhooge, Steffen Schmitz‐Valckenberg, Maurizio Battaglia Parodi, Philipp Herrmann, Frank G. Holz, Andrew J. Lotery, Katarina Stingl, Thomas H. Wheeler‐Schilling, Camiel J. F. Boon, Carel B. Hoyng, Soraprazan Consortium   +12 more
wiley   +1 more source

Training and validation of an automated algorithm to differentiate no and minimal diabetic retinopathy from more severe stages in wide‐field images

Acta Ophthalmologica, EarlyView.
Abstract Purpose Diabetic retinopathy (DR) is a leading cause of blindness in the working‐age population. Screening is essential to identify and treat sight‐threatening stages prior to irreversible visual loss. This study aimed to train and validate an automated algorithm to identify no or minimal DR, potentially saving resources for specialist ...
Lars Morten Skollerud, Jakob Kristian Andersen, Sebastian Dinesen, Thiusius Rajeeth Savarimuthu, Jakob Grauslund   +4 more
wiley   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Pairwise Neural Networks for Ranking Molecular Structures Based on Properties. [PDF]

ACS Omega
Frazzato Viana R, Da Silva JLF, Dias LG, Prati RC.   +3 more
europepmc   +1 more source

Computing Skinning Weights via Convex Duality

Computer Graphics Forum, EarlyView.
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley   +1 more source

Pretraining improves prediction of genomic datasets across species. [PDF]

Bioinformatics
Huang F, Wang Y, Cutkosky A, Song JHT.
europepmc   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

Computer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier, Florine Hartwig, Josua Sassen, Sergio Conti, Mirela Ben‐Chen, Martin Rumpf   +5 more
wiley   +1 more source