Results 61 to 70 of about 2,192,848 (347)

The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen   +5 more
wiley   +1 more source

Notes on upper bounds for the largest eigenvalue based on edge-decompositions of a signed graph

open access: yesKuwait Journal of Science, 2023
The adjacency matrix of a signed graph has +1 or -1 for adjacent vertices, depending on the sign of the connecting edge. According to this concept, an ordinary graph can be interpreted as a signed graph without negative edges.
Zoran Stanić
doaj   +1 more source

MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction

open access: yesPLoS Comput. Biol., 2018
Recently, a growing number of biological research and scientific experiments have demonstrated that microRNA (miRNA) affects the development of human complex diseases.
Xing Chen, Jun Yin, Jia Qu, Li Huang
semanticscholar   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Decomposition of graph functions

open access: yesJournal of Combinatorial Theory, Series B, 1978
AbstractThe V-functions of Tutte [1] are generalized to U-functions on graphs with a distinguished subset of vertices. The class of U-functions of two variables generalize dichromatic polynomials as well as the W-functions defined by Tutte [2]. The values of U-functions on a graph G are characterized in terms of spanning subgraphs of G and also in ...
openaire   +2 more sources

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley   +1 more source

Structural Decomposition of Reactions of Graph-Like Objects [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2010
Inspired by decomposition problems in rule-based formalisms in Computational Systems Biology and recent work on compositionality in graph transformation, this paper proposes to use arbitrary colimits to "deconstruct" models of reactions in which states ...
Tobias Heindel
doaj   +1 more source

On the decomposition of circulant graphs using algorithmic approaches

open access: yesAlexandria Engineering Journal, 2022
Many structural models in chemistry, biology, computer science, sociology, and operations research can be analyzed using graph theory. Some examples of these structure models are species movement between regions, molecular bonds, shortest spanning trees,
A. El-Mesady, Y.S. Hamed, H. Shabana
doaj   +1 more source

Unrolling of Syngonium podophyllum: Functional Anatomy, Morphology and Modelling of Its Peltate Leaves

open access: yesAdvanced Biology, EarlyView.
The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert   +4 more
wiley   +1 more source

Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine [PDF]

open access: yesPeerJ Computer Science
The medical knowledge graph is essential for intelligent medical services, encompassing personalized diagnostics, precision therapies, and intelligent consultations, among others.
Jiangtao ZhangSun   +4 more
doaj   +2 more sources

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