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61
The damage evolution law and life prediction of mortar under Freeze-thaw cycles and sulfate corrosion based on entropy weight method
Published 2025-07-01“…Based on the Wiener stochastic process damage model and field data, it is predicted that the service life of mortar containing 10 % silica fume increases most notably to 36.6 years, representing a relative improvement of 45.8 % compared to mortar without silica fume. …”
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62
Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence
Published 2023-12-01“…To avoid linkage attacks in personalized differential privacy, we design a noise correlation decoupling mechanism using a Markov stochastic process. In addition, we build the community model on a blockchain, which can mitigate the risk of poisoning attacks during differentially private data transmission over SHNs. …”
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63
Measured Rare Voltage Sags and Clusters of Sags: Prediction Models Driven by the Intermittence Indices
Published 2024-01-01“…The clusters of sags represent a stochastic process due to their time dependence; the rare satisfy the requirements for a Poisson distribution process. …”
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64
Modeling of Blood Flow Dynamics in Rat Somatosensory Cortex
Published 2024-12-01“…We developed a framework with three key components: coupling between the vasculature and synthesized astrocytic morphologies, a fluid dynamics model to compute flow in each vascular segment, and a stochastic process replicating the effect of astrocytic endfeet on vessel radii. …”
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65
Eukaryotic plankton community and assembly processes in a large-scale water diversion project in China
Published 2025-02-01“…Additionally, the assembly processes of eukaryotic plankton in both DJK and MRP are predominantly influenced by stochastic processes. However, in comparison to DJK, deterministic processes have a more pronounced impact on MRP, accounting for 39.29% and 1.82%, respectively. …”
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66
Hyperbolic Cross Truncations for Stochastic Fourier Cosine Series
Published 2014-01-01“…Although our research is in the setting of stochastic processes, our results are also new for deterministic functions.…”
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67
Robustness and limitations of maximum entropy in plant community assembly
Published 2025-05-01“…We further hypothesise this could signal that stochastic processes are more dominant within species-rich systems, for example, due to functional redundancy or the existence of multiple fitness strategies. …”
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68
Deterministic and stochastic effects drive the gut microbial diversity in cucurbit-feeding fruit flies (Diptera, Tephritidae).
Published 2025-01-01“…We found that deterministic and stochastic processes play a considerable role in shaping the larval gut microbiome. …”
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69
Variable Exponent Function Spaces related to a Sublinear Expectation
Published 2020-01-01“…A version of Kolmogorov’s criterion on variable exponent function spaces is proved for continuous modification of stochastic processes.…”
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70
Stochastic flows with interaction and measure-valued processes
Published 2003-01-01“…We consider the new class of the Markov measure-valued stochastic processes with constant mass. We give the construction of such processes with the family of the probabilities which describe the motion of single particles. …”
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71
Random sums of random vectors and multitype families of productive individuals
Published 2004-01-01“…Applying these limit theorems, we study the number of productive individuals in n-type indecomposable critical branching stochastic processes with types of individuals T1,…,Tn.…”
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72
A simple algorithm to generate firing times for leaky integrate-and-fire neuronal model
Published 2013-08-01“…A method to generate first passage times for a class of stochastic processes is proposed. It does not require construction of the trajectories as usually needed in simulation studies, but is based on an integral equation whose unknown quantity is the probability density function of the studied first passage times and on the application of the hazard rate method. …”
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73
On Quantum Statistical Mechanics: A Study Guide
Published 2017-01-01“…As an illustration, a quantization of stochastic processes, new formalism for statistical mechanics, quantum field theory, and quantum correlations are discussed.…”
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74
Distinct ecological processes shape micro-eukaryotic generalists and specialists in a canal-disturbed wetland, Lake Weishan, China
Published 2025-01-01“…Notably, community assembly in this canal-disturbed lake was predominantly influenced by stochastic processes (58.18%) rather than deterministic processes (20.46%). …”
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75
Capturing the Data Uncertainty Change in the Cocaine Consumption in Spain Using an Epidemiologically Based Model
Published 2016-01-01“…The proposed model is formulated through a nonlinear system of difference equations whose coefficients are treated as stochastic processes. A discussion regarding the usefulness and limitations of probabilistic fitting technique in order to capture the data uncertainty of the proposed model is presented.…”
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76
Input-to-State Stability of Linear Stochastic Functional Differential Equations
Published 2016-01-01“…The purpose of the paper is to show how asymptotic properties, first of all stochastic Lyapunov stability, of linear stochastic functional differential equations can be studied via the property of solvability of the equation in certain pairs of spaces of stochastic processes, the property which we call input-to-state stability with respect to these spaces. …”
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77
Non-Archimedean valued quasi-invariant descending at infinity measures
Published 2005-01-01“…Applications of such measures to pseudodifferential operators and stochastic processes are considered. Nevertheless, it is proved that there does not exist the complete non-Archimedean analog of Gaussian measures. …”
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78
Bacterial communities as bioindicators of climate change in freshwater ecosystems: Tank bromeliads as model systems
Published 2025-02-01“…However, the vulnerability of these rare species to stochastic processes raises concerns about community stability under climate change. …”
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79
Rough Paths above Weierstrass Functions
Published 2024-11-01“…The fundamental observation of rough paths theory is that if one can define “iterated integrals” above a signal, then one can construct solutions to differential equations driven by the signal.The typical examples of the signals of interest are stochastic processes such as (fractional) Brownian motion. …”
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80
Convergence of weighted sums of independent random variables and an extension to Banach space-valued random variables
Published 1979-01-01“…This extension provides a convergence theorem that applies to stochastic processes which may be considered as random elements in function spaces.…”
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