Results 31 to 40 of about 94,123 (306)

Resonance graphs of catacondensed even ring systems [PDF]

open access: yesApplied Mathematics and Computation, 2020
A catacondensed even ring system (shortly CERS) is a simple bipartite 2-connected outerplanar graph with all vertices of degree 2 or 3. In this paper, we investigate the resonance graphs (also called $Z$-transformation graphs) of CERS and firstly show that two even ring chains are resonantly equivalent iff their resonance graphs are isomorphic.
Simon Brezovnik   +2 more
openaire   +2 more sources

Facial soft tissue segmentation [PDF]

open access: yes, 2014
The importance of the face for socio-ecological interaction is the cause for a high demand on any surgical intervention on the facial musculo-skeletal system.
Majeed, Tahir
core   +1 more source

Resonance Graphs and a Binary Coding of Perfect Matchings of Outerplane Bipartite Graphs

open access: yesMatch Communications in Mathematical and in Computer Chemistry, 2023
The aim of this paper is to investigate resonance graphs of 2- connected outerplane bipartite graphs, which include various families of molecular graphs. Firstly, we present an algorithm for a binary coding of perfect matchings of these graphs. Further, 2- connected outerplane bipartite graphs with isomorphic resonance graphs are considered.
Brezovnik, Simon   +2 more
openaire   +2 more sources

Functional brain networks before the onset of psychosis : a prospective fMRI study with graph theoretical analysis [PDF]

open access: yes, 2012
Individuals with an at-risk mental state (ARMS) have a risk of developing a psychotic disorder significantly greater than the general population. However, it is not currently possible to predict which ARMS individuals will develop psychosis from clinical
Lambiotte, Renaud   +29 more
core   +1 more source

Methods for dichoptic stimulus presentation in functional magnetic resonance imaging - a review [PDF]

open access: yes, 2009
Dichoptic stimuli (different stimuli displayed to each eye) are increasingly being used in functional brain imaging experiments using visual stimulation.
Choubey, Bhaskar   +8 more
core   +1 more source

Brain Structural Connectivity Differences in Patients with Normal Cognition and Cognitive Impairment

open access: yesBrain Sciences, 2021
Advances in magnetic resonance imaging, particularly diffusion imaging, have allowed researchers to analyze brain connectivity. Identification of structural connectivity differences between patients with normal cognition, cognitive impairment, and ...
Nauris Zdanovskis   +4 more
doaj   +1 more source

A maximum resonant set of polyomino graphs

open access: yesDiscussiones Mathematicae Graph Theory, 2016
A polyomino graph $H$ is a connected finite subgraph of the infinite plane grid such that each finite face is surrounded by a regular square of side length one and each edge belongs to at least one square. In this paper, we show that if $K$ is a maximum resonant set of $H$, then $H-K$ has a unique perfect matching.
Heping Zhang, Xiangqian Zhou
openaire   +3 more sources

Bipartite graph modeling of Alzheimer’s disease and its early automated discrimination through region-based level set algorithm and support vector machine in magnetic resonance brain images [PDF]

open access: yesRomanian Journal of Neurology, 2021
This paper offers a bird’s eye perception of how bipartite graph modeling could help to comprehend the progression of Alzheimer Disease (AD). We will also discuss the role of the various software tools available in the literature to identify the ...
V. Yegnanarayanan   +2 more
doaj   +1 more source

A Laplacian Approach to Locate Source of Forced Oscillations Under Resonance Conditions Based on Energy-Driven Multilateral Interactive Pattern

open access: yesIranian Journal of Electrical and Electronic Engineering, 2022
The most challenging circumstance of forced oscillations (FOs) is when the power system is forced to oscillate at its natural frequencies. This paper uses a novel PMU data-driven mechanism to pinpoint the source of such phenomena under resonance ...
A. Hesami Naghshbandy   +2 more
doaj  

A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder

open access: yesBMC Bioinformatics, 2023
Background Autism spectrum disorder (ASD) is a serious developmental disorder of the brain. Recently, various deep learning methods based on functional magnetic resonance imaging (fMRI) data have been developed for the classification of ASD.
Lizhen Shao, Cong Fu, Xunying Chen
doaj   +1 more source

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