Results 21 to 30 of about 39,984 (266)
Competing G protein‐coupled receptor kinases balance G protein and β‐arrestin signaling
Seven‐transmembrane receptors (7TMRs) are involved in nearly all aspects of chemical communications and represent major drug targets. 7TMRs transmit their signals not only via heterotrimeric G proteins but also through β‐arrestins, whose recruitment to ...
Domitille Heitzler +15 more
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Dynamic modelling with events [PDF]
This paper focusses on the behavioural aspects of the IFO23 model, an extension of the semantic model IFO defined by S. Abiteboul and R. Hull. Its originality is in the formalization of complex events and their specification, which adopts semantics and syntax indentical to those of the structural part.
Maguelonne Teisseire +2 more
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On a Dynamical Model of Glasses [PDF]
We analyze a simple dynamical model of glasses, based on the idea that each particle is trapped in a local potential well, which itself evolves due to hopping of neighbouring particles. The glass transition is signalled by the fact that the equilibrium distribution ceases to be normalisable, and dynamics becomes non-stationary.
Bouchaud, Jean-Philippe +2 more
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A Dynamic Model of Crowdfunding [PDF]
Crowdfunding is quickly emerging as an alternative to traditional methods of funding new products. In a crowdfunding campaign, a seller solicits financial contributions from a crowd, usually in the form of pre-buying an unrealized product, and commits to producing the product if the total amount pledged is above a certain threshold.
Saeed Alaei +2 more
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How do blogs produce posts? What local, underlying mechanisms lead to the bursty temporal behaviors observed in blog networks? Earlier work analyzed network patterns of blogs and found that blog behavior is bursty and often follows power laws in both topological and temporal characteristics. However, no intuitive and realistic model has
Michaela Goetz +3 more
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Most statistical methods for assessing activated voxels in fMRI experiments are based on correlation or regression analysis. In this context the main assumptions are that the baseline can be described by a few known basis-functions or variables and that the effect of the stimulus, i.e. the activation, stays constant over time. As these assumptions are
Gössl, C., Auer, D., Fahrmeir, L.
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Dynamic model abstraction [PDF]
While complex behavior can be generated through simple systems, as in chaotic and nonlinear systems, complex systems axe found where a systems study contains multiple physical objects and interactions. Through the use of hierarchy, we are able to simplify and organize the complex system.
Lee, Kangsun, Fishwick, Paul A.
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Numerical integration and analysis of mars orbital dynamics
IntroductionThe high-precision numerical ephemeris of Mars is important for its mission planning, spacecraft navigation, and solar system dynamics studies.MethodsThis study systematically compares the dynamical models employed in the DE441, EPM2021 ...
Shuhao Feng +5 more
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Information-theoretic formulation of dynamical systems: Causality, modeling, and control
The problems of causality, modeling, and control for chaotic, high-dimensional dynamical systems are formulated in the language of information theory. The central quantity of interest is the Shannon entropy, which measures the amount of information in ...
Adrián Lozano-Durán, Gonzalo Arranz
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EVOC (for EVOlution of Culture) is a computer model of culture that enables us to investigate how various factors such as barriers to cultural diffusion, the presence and choice of leaders, or changes in the ratio of innovation to imitation affect the diversity and effectiveness of ideas. It consists of neural network based agents that invent ideas for
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