Results 61 to 70 of about 3,956,385 (292)
Inferring Network Topology from Complex Dynamics
Inferring network topology from dynamical observations is a fundamental problem pervading research on complex systems. Here, we present a simple, direct method to infer the structural connection topology of a network, given an observation of one ...
Shandilya, Srinivas Gorur, Timme, Marc
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DEGENERATIONS OF COMPLEX DYNAMICAL SYSTEMS [PDF]
AbstractWe show that the weak limit of the maximal measures for any degenerating sequence of rational maps on the Riemann sphere ${\hat{{\mathbb{C}}}} $ must be a countable sum of atoms. For a one-parameter family $f_t$ of rational maps, we refine this result by showing that the measures of maximal entropy have a unique limit on $\hat{{\mathbb{C}}}$ as
LAURA DE MARCO, XANDER FABER
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ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider +4 more
wiley +1 more source
Extremal dynamics on complex networks: Analytic solutions
The Bak-Sneppen model displaying punctuated equilibria in biological evolution is studied on random complex networks. By using the rate equation and the random walk approaches, we obtain the analytic solution of the fitness threshold $x_c$ to be 1/(_f+1),
G. R. Grimmett +7 more
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Complex networks: Structure and dynamics [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
S. BOCCALETTI +4 more
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ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Structure-preserving learning for multi-symplectic PDEs
This paper presents an energy-preserving machine learning method for inferring reduced-order models (ROMs) by exploiting the multi-symplectic form of partial differential equations (PDEs).
Süleyman Yıldız +2 more
doaj +1 more source
Delay of cognitive gamma responses in Alzheimer's disease
Event-related oscillations (EROs) reflect cognitive brain dynamics, while sensory-evoked oscillations (SEOs) reflect sensory activities. Previous reports from our lab have shown that those with Alzheimer's disease (AD) or mild cognitive impairment (MCI ...
Erol Başar +3 more
doaj +1 more source
Removable Dyes—The Missing Link for In-Depth N-Glycan Analysis via Multi-Method Approaches
As the roles of glycans in health and disease continue to be unraveled, it is becoming apparent that glycans’ immense complexity cannot be ignored.
Samanta Cajic +4 more
doaj +1 more source
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
wiley +1 more source

