Results 81 to 90 of about 8,286,998 (397)
Dimensional reduction of the generalized DBI
We study the generalized Dirac-Born-Infeld (DBI) action, which describes a $q$-brane ending on a $p$-brane with a ($q$+1)-form background. This action has the equivalent descriptions in commutative and non-commutative settings, which can be shown from the generalized metric and Nambu-Sigma model.
Ho, Jun-Kai, Ma, Chen-Te
openaire +3 more sources
Making tau amyloid models in vitro: a crucial and underestimated challenge
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley +1 more source
Linear Dimensionality Reduction: What Is Better?
This research paper focuses on dimensionality reduction, which is a major subproblem in any data processing operation. Dimensionality reduction based on principal components is the most used methodology. Our paper examines three heuristics, namely Kaiser’
Mohit Baliyan, Evgeny M. Mirkes
doaj +1 more source
Dimensionality reduction in data from LASER applications [PDF]
Redundant variables not only in LASER applications, but in all experimental works are disturbing statistical analysis as a result of highly correlation among them.
Imad H.Aboud, Qassim M. Jameel
doaj +1 more source
Three-dimensional matching is NP-Hard [PDF]
The standard proof of NP-Hardness of 3DM provides a power-$4$ reduction of 3SAT to 3DM. In this note, we provide a linear-time reduction. Under the exponential time hypothesis, this reduction improves the runtime lower bound from $2^{o(\sqrt[4]{m})}$ (under the standard reduction) to $2^{o(m)}$.
arxiv
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma+8 more
wiley +1 more source
Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection
The security of networked systems has become a critical universal issue that influences individuals, enterprises and governments. The rate of attacks against networked systems has increased dramatically, and the tactics used by the attackers are ...
Dr. Razan Abdulhammed+4 more
semanticscholar +1 more source
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial–Spectral Manifold Learning [PDF]
The graph embedding (GE) methods have been widely applied for dimensionality reduction of hyperspectral imagery (HSI). However, a major challenge of GE is how to choose the proper neighbors for graph construction and explore the spatial information of ...
Hong Huang+4 more
semanticscholar +1 more source
Dimensionality reduction in translational noninvariant wave guides
A scheme to reduce translational noninvariant quasi-one-dimensional wave guides into singly or multiply connected one-dimensional (1D) lines is proposed.
Aeberhand+23 more
core +1 more source
Dimensional reduction of the Dirac theory
Abstract We perform a reduction from three to two spatial dimensions of the physics of a spin- 1 2 fermion coupled to the ...
Giuliano Angelone+7 more
openaire +4 more sources