Results 131 to 140 of about 4,006,812 (300)
A space-time geodesic approach for phase fitted variational integrators
The use of space-time geodesic approach of classical mechanics is investigated, in order to derive time adaptive high order phase fitted variational integrators. The proposed technique is employed for systems of which the Lagrangian is of separable form.
Kosmas, Odysseas, Vlachos, Dimitrios
core +1 more source
Lost in Aggregation: Quantifying Measurement Error from Geographic Centroids
Due to privacy laws and regulations, microdata typically provide regional identifiers rather than exact coordinates. Researchers therefore often construct spatial variables from these aggregations, but the statistical implications depend on the research setting.
Ali Furkan Kalay, Henry Wen
wiley +1 more source
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
Surfaces Family with Common Smarandache Geodesic Curve According to Bishop Frame in Euclidean Space
In this paper, we analyzed the problem of consructing a family of surfaces from a given some special Smarandache curves in Euclidean 3-space. Using the Bishop frame of the curve in Euclidean 3-space, we express the family of surfaces as a linear ...
Kasap, Emin, Gülnur, Saffak Atalay
core +1 more source
Mapping diversity through geographical, environmental and attribute spaces
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 tutorial on Bayesian model averaging for exponential random graph models
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
Geodesic loops on tetrahedra in spaces of constant sectional curvature
Geodesic loops on polyhedra were studied only for Euclidean space and it was known that there are no simple geodesic loops on regular tetrahedra. Here we prove that: 1) On the spherical space, there are no simple geodesic loops on tetrahedra with ...
Borisenko, Alexander A., Miquel, Vicente
core
A Cortical-Inspired Contour Completion Model Based on Contour Orientation and Thickness
An extended four-dimensional version of the traditional Petitot–Citti–Sarti model on contour completion in the visual cortex is examined. The neural configuration space is considered as the group of similarity transformations, denoted as M=SIM(2).
Ivan Galyaev, Alexey Mashtakov
doaj +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
EXTRINSIC CIRCULAR TRAJECTORIES ON GEODESIC SPHERES IN A COMPLEX PROJECTIVE SPACE [PDF]
We say a trajectory for a Sasakian magnetic field on a geodesic sphere in a complex projective space to be extrinsic circular if it can be seen as a circle in the ambient space.
Bao, Tuya, Adachi, Toshiaki
core +1 more source

