Results 111 to 120 of about 1,692,270 (273)

Neural Scale-Free Network: A Novel Neural Network to Predict the Emergence of Hub Nodes in Complex Networks

open access: yesComplexity
The emergence of hubs in scale-free networks plays a critical role in understanding dynamic complex networks such as social interactions, transportation networks, and biological processes.
Xueli Wang, Hongsheng Qian, Peyman Arebi
doaj   +1 more source

Stochastic Opinion Formation in Scale-Free Networks [PDF]

open access: yes, 2005
The dynamics of opinion formation in large groups of people is a complex non-linear phenomenon whose investigation is just at the beginning. Both collective behaviour and personal view play an important role in this mechanism.
A. W. Thomas   +15 more
core   +2 more sources

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

Software Engineering and Scale-Free Networks$^{\ast}$ [PDF]

open access: yesIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009
Complex-network theory is a new approach in studying different types of large systems in both the physical and the abstract worlds. In this paper, we have studied two kinds of network from software engineering: the component dependence network and the sorting comparison network (SCN).
Wen, Lian, Dromey, R Geoff, Kirk, Diana
openaire   +4 more sources

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov   +3 more
wiley   +1 more source

Anomalous electrical and frictionless flow conductance in complex networks

open access: yes, 2006
We study transport properties such as electrical and frictionless flow conductance on scale-free and Erdos-Renyi networks. We consider the conductance G between two arbitrarily chosen nodes where each link has the same unit resistance.
Albert   +33 more
core   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau   +8 more
wiley   +1 more source

Enhancing traffic capacity of scale free networks by changing queuing strategy

open access: yesPhysics Open
In this paper, we propose a new queuing strategy, which called multi-channel strategy, to improve traffic capacity. The multi-channel strategy is proposed according to the degree of the node.
Lingkang Kong, Jian Liu, Xinjian Chu
doaj   +1 more source

Network Entropy and Systemic Risk in Dynamic Banking Systems

open access: yesComplexity, 2017
We investigate network entropy of dynamic banking systems, where interbank networks analyzed include random networks, small-world networks, and scale-free networks. We find that network entropy is positively correlated with the effect of systemic risk in
Liang He, Shouwei Li
doaj   +1 more source

Anomalous behavior of trapping on a fractal scale-free network

open access: yes, 2009
It is known that the heterogeneity of scale-free networks helps enhancing the efficiency of trapping processes performed on them. In this paper, we show that transport efficiency is much lower in a fractal scale-free network than in non-fractal networks.
Bollt E. M.   +13 more
core   +2 more sources

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