Results 91 to 100 of about 40,565 (244)
Size variation of an herbivorous insect affects host plant damage: Mechanisms behind the effect
Read the free Plain Language Summary for this article on the Journal blog. Abstract Intraspecific trait variation can strengthen or weaken species interactions in ecological communities. A mechanistic understanding of how intraspecific variation affects species interactions will help identify general rules about when intraspecific variation strengthens
Monica Paniagua Montoya +2 more
wiley +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert +5 more
wiley +1 more source
Corneal power modelling with OCT data – Thin and thick lens paraxial models versus raytracing
Abstract Background Evaluating keratometric power with Zeiss index (PKZ), paraxial thick cornea power (Gullstrand [PG]) and power referenced to the front (PFV) and back vertex plane (PBV) and raytracing power (PR), and modelling the deviation from PKZ with a multivariable linear prediction model.
Achim Langenbucher +4 more
wiley +1 more source
Do Taxpayers Embrace Social Norms to Comply? Empirical Evidence From Indonesia
ABSTRACT This study explores the powerful role societal norms play in shaping taxpayers' behaviour in Indonesia, with a focus on how the prevalence of compliance influences both tax filing and payment practices. By examining the ratio of tax evaders to compliant taxpayers in specific regions, we measured the strength of these norms and explored their ...
Yon Arsal, Arifin Rosid, Agung Satyadini
wiley +1 more source
Computing Skinning Weights via Convex Duality
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
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
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 +5 more
wiley +1 more source
Extending Exact Convex Relaxations of Quadratically Constrained Quadratic Programs
23 pages, 5 ...
Kojima, Masakazu +2 more
openaire +2 more sources
Real‐Time Conformal Maps and Parameterizations
Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley +1 more source
Abstract Human development is a driver of global change and a major threat to biodiversity. Protected areas maintain and support biodiversity, but outside stressors, such as climate change and land use change, can negatively influence natural resources within protected areas.
Leah J. Rudge +2 more
wiley +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source

