Refine
Year of publication
Document Type
- Article (285)
- Postprint (11)
- Preprint (9)
- Monograph/Edited Volume (8)
- Other (1)
Keywords
- Complex networks (5)
- Event synchronization (4)
- precipitation (3)
- synchronization (3)
- Amazon rainforest (2)
- Extreme rainfall (2)
- Synchronization (2)
- channel (2)
- classification (2)
- climate networks (2)
- complex networks (2)
- diffusion (2)
- droughts (2)
- events (2)
- identifying influential nodes (2)
- models (2)
- prediction (2)
- rainfall (2)
- space-dependent diffusivity (2)
- streamflow (2)
- 3D medical image analysis (1)
- African climate (1)
- Algebraic geometry (1)
- Anisotropy (1)
- Baiu (1)
- Bifurcation parameters (1)
- Biomass (1)
- Calvin cycle (1)
- Chaotic System (1)
- Cold air surges (1)
- Complex network (1)
- Convective storms (1)
- Dominant link directions (1)
- EEG (1)
- Escherichia-coli (1)
- Extreme events (1)
- Extreme precipitation (1)
- Holocene (1)
- Hypothesis Test (1)
- India (1)
- Indian monsoon (1)
- Indian summer monsoon (1)
- Isochrones (1)
- K-means technique (1)
- Mesoscale systems (1)
- Multistationarity (1)
- North-Atlantic climate (1)
- Partial wavelet coherence (1)
- Phase Synchronization (1)
- Planetary Rings (1)
- Plio-Pleistocene (1)
- Precipitation (1)
- Precipitation events (1)
- Rainfall (1)
- Rainfall network (1)
- Rainfall patterns (1)
- Regionalization (1)
- Self-organizing map (1)
- South American monsoon system (1)
- Statistical and Nonlinear Physics (1)
- Subtropical cyclones (1)
- Surrogate Data (1)
- Teleconnection patterns (1)
- Time-varying Delay (1)
- Tropical storms (1)
- Ungauged catchments (1)
- Wavelet power spectrum (1)
- Wavelets (1)
- Z-P approach (1)
- algorithms (1)
- anatomical connectivity (1)
- bifurcation analysis (1)
- bifurcations (1)
- climate-driven evolution (1)
- cluster-analysis (1)
- coherence (1)
- complex systems (1)
- cortical network (1)
- desynchronization (1)
- dynamical cluster (1)
- dynamical transitions (1)
- functional connectivity (1)
- high-frequency force (1)
- inference (1)
- interdependences (1)
- intermittency (1)
- low-frequency force (1)
- mean residence time (1)
- monsoon (1)
- mutual information (1)
- networks (1)
- noise (1)
- nonlinear dynamics (1)
- nonlinear time series analysis (1)
- pQCT (1)
- patient immobilization (1)
- period doubling (1)
- periods (1)
- phase (1)
- proteasome (1)
- protein translocation (1)
- ratchets (1)
- recognition (1)
- records (1)
- recurrence plot (1)
- series (1)
- statistical physics (1)
- stochastic process (1)
- stochastic resonance (1)
- teleconnections (1)
- time (1)
- topological community (1)
- trabecular bone (1)
- unferring cellular networks (1)
- variability (1)
- variables (1)
- vibrational resonance (1)
- Æ Recurrence Plots (1)
Institute
- Institut für Physik und Astronomie (234)
- Interdisziplinäres Zentrum für Dynamik komplexer Systeme (48)
- Institut für Geowissenschaften (21)
- Department Psychologie (17)
- Institut für Biochemie und Biologie (4)
- Department Linguistik (3)
- Extern (3)
- Institut für Informatik und Computational Science (2)
- Mathematisch-Naturwissenschaftliche Fakultät (2)
- Department Sport- und Gesundheitswissenschaften (1)
- Institut für Umweltwissenschaften und Geographie (1)
Doubly stochastic resonance
(2000)
We report the effect of doubly stochastic resonance which appears in nonlinear extended systems if the influence of noise is twofold: A multiplicative noise induces bimodality of the mean field of the coupled network and an independent additive noise governs the dynamic behavior in response to small periodic driving. For optimally selected values of the additive noise intensity stochastic resonance is observed, which is manifested by a maximal coherence between the dynamics of the mean field and the periodic input. Numerical simulations of the signal-to-noise ratio and theoretical results from an effective two state model are in good quantitative agreement.
We report on the effect of vibrational resonance in a spatially extended system of coupled noisy oscillators under the action of two periodic forces, a low-frequency one (signal) and a high-frequency one (carrier). Vibrational resonance manifests itself in the fact that for optimally selected values of high-frequency force amplitude, the response of the system to a low-frequency signal is optimal. This phenomenon is a synthesis of two effects, a noise- induced phase transition leading to bistability, and a conventional vibrational resonance, resulting in the optimization of signal processing. Numerical simulations, which demonstrate this effect for an extended system, can be understood by means of a zero-dimensional "effective" model. The behavior of this "effective" model is also confirmed by an experimental realization of an electronic circuit.
We have recently reported the phenomenon of doubly stochastic resonance [Phys. Rev. Lett. 85, 227 (2000)], a synthesis of noise-induced transition and stochastic resonance. The essential feature of this phenomenon is that multiplicative noise induces a bimodality and additive noise causes stochastic resonance behavior in the induced structure. In the present paper we outline possible applications of this effect and design a simple lattice of electronic circuits for the experimental realization of doubly stochastic resonance.
Control of noise-induced oscillations of a pendulum with a rondomly vibrating suspension axis
(1997)
We study several algorithms to simulate bone mass loss in two-dimensional and three-dimensional computed tomography bone images. The aim is to extrapolate and predict the bone loss, to provide test objects for newly developed structural measures, and to understand the physical mechanisms behind the bone alteration. Our bone model approach differs from those already reported in the literature by two features. First, we work with original bone images, obtained by computed tomography (CT); second, we use structural measures of complexity to evaluate bone resorption and to compare it with the data provided by CT. This gives us the possibility to test algorithms of bone resorption by comparing their results with experimentally found dependencies of structural measures of complexity, as well as to show efficiency of the complexity measures in the analysis of bone models. For two-dimensional images we suggest two algorithms, a threshold algorithm and a virtual slicing algorithm. The threshold algorithm simulates bone resorption on a boundary between bone and marrow, representing an activity of osteoclasts. The virtual slicing algorithm uses a distribution of the bone material between several virtually created slices to achieve statistically correct results, when the bone-marrow transition is not clearly defined. These algorithms have been tested for original CT 10 mm thick vertebral slices and for simulated 10 mm thick slices constructed from ten I mm thick slices. For three-dimensional data, we suggest a variation of the threshold algorithm and apply it to bone images. The results of modeling have been compared with CT images using structural measures of complexity in two- and three-dimensions. This comparison has confirmed credibility of a virtual slicing modeling algorithm for two-dimensional data and a threshold algorithm for three-dimensional data
This paper discusses translocation features of the 20S proteasome in order to explain typical proteasome length distributions. We assume that the protein transport depends significantly on the fragment length with some optimal length which is transported most efficiently. By means of a simple one-channel model, we show that this hypothesis can explain both the one- and the three-peak length distributions found in experiments. A possible mechanism of such translocation is provided by so-called fluctuation-driven transport.