Results 151 to 160 of about 16,494 (299)

Local flatness and geodesic deviation of causal geodesics [PDF]

open access: yes, 2008
We analyze the interplay of local flatness and geodesic deviation measured for causal geodesics starting from the remark that, form a physical viewpoint, the geodesic deviation can be measured for causal geodesic, observing the motion of (infinitesimal ...
Di Criscienzo, Roberto   +3 more
core  

The company you keep: The influence of popular delinquents and deviant brokers on offending trajectories

open access: yesCriminology, EarlyView.
Abstract Research on how delinquent peer associations affect individuals’ life courses is limited. This paper addresses this gap by examining delinquent peer network characteristics and their impact on offending trajectories through social network analysis (SNA) and group‐based trajectory modeling (GBTM).
Daniel Trovato
wiley   +1 more source

Mapping diversity through geographical, environmental and attribute spaces

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Understanding biodiversity patterns requires integrating information across the interrelated dimensions that organize life. Species occupy specific regions in geographic space, respond to environmental conditions and vary within attribute (or trait) spaces that are shaped by their ecological and evolutionary histories.
Bruno Vilela   +10 more
wiley   +1 more source

A Threat‐Scoring Framework Using Crowdsourced Data Indicates High Threat Levels in Fossorial Shieldtail Snakes

open access: yesAnimal Conservation, EarlyView.
Reliable estimates of species distributions are crucial for understanding their conservation needs. Yet for many species, IUCN largely relies on expert‐drawn ranges, which are often inaccurate. Focusing on shieldtail snakes in peninsular India, we combined citizen science, literature, field, and museum records to create improved distribution maps for ...
Anuj Shinde   +3 more
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo   +2 more
wiley   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

open access: yesComputer 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   +5 more
wiley   +1 more source

Conformal-Geodesics-Preserving Local Diffeomorphisms and Their Holographic Interpretation [PDF]

open access: yes
We study unparametrized conformal geodesics, or called conformal circles, and study local diffeomorphisms mapping conformal geodesics to conformal geodesics in pseudo-Riemannian conformal manifolds.
Kuo, Tzu-Mo
core   +1 more source

Conformal geodesics [PDF]

open access: yesTransactions of the American Mathematical Society, 1939
openaire   +2 more sources

Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton   +2 more
wiley   +1 more source

Mesh Processing Non‐Meshes via Neural Displacement Fields

open access: yesComputer Graphics Forum, EarlyView.
Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma   +4 more
wiley   +1 more source

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