Results 121 to 130 of about 5,885,366 (348)
Fluctuations between high- and low-modularity topology in time-resolved functional connectivity
, 2017 Modularity is an important topological attribute for functional brain networks. Recent studies have reported that modularity of functional networks varies not only across individuals being related to demographics and cognitive performance, but also ...
Betzel, Richard F. +6 more
core +1 more source
An Empirical Exploration of Skip Connections for Sequential Tagging [PDF]
arXiv, 2016 In this paper, we empirically explore the effects of various kinds of skip connections in stacked bidirectional LSTMs for sequential tagging. We investigate three kinds of skip connections connecting to LSTM cells: (a) skip connections to the gates, (b) skip connections to the internal states and (c) skip connections to the cell outputs.
arxiv
Advanced Engineering Materials, EarlyView.Using novel probe‐based metrics, this study evaluates lattice structures on criteria critical to cellular solid optimization. Triply‐periodic minimal surface (TPMS) lattices outperform other lattices, offering more predictable mechanical behavior in complex design spaces and, as a result, higher performance in optimized models.
Firas Breish +2 more
wiley +1 more source
Journal of Neuroscience, 2019 Neuroinflammation is a key part of the etio-pathogenesis of Alzheimer's disease (AD). We tested the relationship between neuroinflammation and the disruption of functional connectivity in large-scale networks, and their joint influence on cognitive ...
L. Passamonti +9 more
semanticscholar +1 more source
Connection formulas for the confluent hypergeometric functions and the functional relation for the Hurwitz zeta function [PDF]
arXiv, 2004 The functional relation of the Hurwitz zeta function is proved by using the connection problem of the confluent hypergeometric equation.
arxiv
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Human Brain Mapping, 2018 Prevalence of certain forms of psychopathology, such as autism and depression, differs between genders and understanding gender differences of the neurotypical brain may provide insights into risk and protective factors. In recent research, resting state
Chao Zhang +4 more
semanticscholar +1 more source
A Generalized Function defined by the Euler first kind integral and its connection with the Dirac delta function [PDF]
arXiv, 2017 We have shown that in some region where the Euler integral of the first kind diverges, the Euler formula defines a generalized function. The connected of this generalized function with the Dirac delta function is found.
arxiv
Hybrid Framework Materials: Next‐Generation Engineering Materials
Advanced Engineering Materials, EarlyView.Hybrid organic–inorganic materials merge the unique properties of organic and inorganic compounds, enabling applications in optoelectronics, gas storage, and catalysis. This review explores metal‐organic frameworks, hybrid organic–inorganic perovskites, and the emerging field of hybrid glasses, emphasizing their structures, functionalities, and ...
Jay McCarron +2 more
wiley +1 more source
Functional Connectivity Signatures of Parkinson’s Disease
Journal of Parkinson's Disease, 2019 Resting-state functional magnetic resonance imaging (RS-fMRI) studies have been extensively applied to analyze the pathophysiology of neurodegenerative disorders such as Parkinson’s disease (PD).
A. Tessitore, M. Cirillo, R. De Micco
semanticscholar +1 more source