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141
Characterization and Modelling of Multiscale Natural Fractures in Shale Reservoirs: A Case Study from a Block in the Southern Sichuan Basin
Published 2022-01-01“…The fracture aperture, dip, and azimuth are three main parameters, which are recognized by the loggings and cores. Stochastic modelling is applied to factures. We find that faults identified by the ant tracking result are excellent in line with Macroscale faults interpreted directly from seismic data. …”
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142
Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data
Published 2004-10-01“…., Neural Computations 15 ,2359 (2003)] a general procedure to detect and quantify the causalinteractions among neurons, which is based on the method ofdirected transfer function derived from a class of multivariate,linear stochastic models. The procedure was applied to spiketrains from neurons in the primary motor cortex of the monkeybrain during adaptation, where monkeys were trained to learn a newskill by moving their arms to reach a target under externalperturbations. …”
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143
Impact of Cell Size Effect on Nutrient-Phytoplankton Dynamics
Published 2019-01-01“…In the case of the stochastic model, the stochastic dynamics including the stochastic extinction, persistence in the mean, and the existence of ergodic stationary distribution is found to be largely dependent on cell size and noise intensity. …”
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144
Stochastic differential equations to model influenza transmission with continuous and discrete-time Markov chains
Published 2025-01-01“…Computational methods are used to validate theoretical results, improving the trustworthiness of the model. The stochastic model allows for an examination of the stochastic character of influenza, which advances our understanding of influenza epidemiology, preventative tactics, and potential treatment results under various circumstances. …”
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145
Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves
Published 2025-03-01“…A Benders decomposition-based solution method is presented for the established two-stage stochastic model with DDU and mixed-binary recourse. Case studies on modified IEEE-6 bus and 118-bus systems verify the proposed model and solution method. …”
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146
Short distances dominate connectivity patterns of coral communities in the North-West Arabian Sea
Published 2025-01-01“…We used a Lagrangian stochastic model to simulate the transport routes of coral larvae released from the major reef communities of the Arabian Sea and Gulf of Oman. …”
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147
Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma
Published 2023-05-01“…Using the demogenetic, spatially explicit, temporal, stochastic model landsepi, this study is a first attempt to investigate how resistance efficiency, age at the time of resistance activation and target pathogenicity trait jointly impact resistance durability and disease control at the landscape scale. …”
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148
Increasing extreme hourly precipitation risk for New York City after Hurricane Ida
Published 2024-11-01“…We contextualize this storm’s record-breaking hourly intensity within the historical record as well as project its risk in the near- to medium-term future using nonstationary stochastic models. These models are conditioned on average temperature (T avg ) and cooling degree day (CDD) projections from three climate models as a covariate, each with a SSP 126 and SSP 370 scenario. …”
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149
Qualitative financial modelling in fractal dimensions
Published 2025-01-01“…Hence, a fractional stochastic model that includes the basic Black–Scholes model as a special case is expected. …”
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150
Genetic Rescue of the Dinaric Lynx Population: Insights for Conservation From Genetic Monitoring and Individual‐Based Modelling
Published 2025-01-01“…We conducted comprehensive genetic monitoring in this area, gathering 588 non‐invasive and tissue samples, which were used for individual identification and estimation of population genetic parameters. We used stochastic modelling to assess the long‐term viability of the Dinaric lynx population post‐translocation and formulate effective conservation strategies. …”
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151
A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains
Published 2020-01-01“…We find that our stochastic model outperforms out-of-sample a deterministic model that relies on forecasts of the delay by a range of 3–5%. …”
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152
A First Application of the Backward Technique in Social Sciences: Exploring Demographic Noise in a Model with Three Personality Types
Published 2024-12-01“…When the populations are small, only space-discrete stochastic models are capable of describing demographic noise; when the populations are large, these discrete models converge to continuous models described by stochastic ordinary differential systems, maintaining the essence of intrinsic noise. …”
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153
Life cycle management of capital construction object with minimization of atmospheric air pollution
Published 2024-03-01“…Based on the developed life cycle model, expressions for determining the probability of events occurrence during the LC CCO are obtained. This stochastic model allows you to predict the state of the control object when implementing a particular solution. …”
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154
Expected annual minima from an idealized moving-average drought index
Published 2025-02-01“…To accomplish this, we derive a stochastic model and use it to simulate 10 <span class="inline-formula">×10<sup>6</sup></span> years of daily or monthly SPI values in order to determine the distribution of annual exceedance probabilities. …”
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155
Outbreak of carbapenem resistant Klebsiella pneumoniae in a neurorehabilitation unit: Genomic epidemiology reveals complex transmission pattern in a tertiary care hospital
Published 2025-03-01“…The most likely transmission networks of KPC-Kp were reconstructed with Bayesian discrete-time stochastic models. Results: Nineteen patients were colonized by KPC-Kp. …”
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156
The influence of farm connectedness on foot‐and‐mouth disease outbreaks in livestock
Published 2024-12-01“…We used a spatially explicit stochastic model to simulate FMD outbreaks on livestock farm operations in four UK counties. …”
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157
A new hybrid distance and similarity based scenario reduction approach for stochastic economic operation of microgrid
Published 2025-03-01“…This paper attempts to develop a multi-time period stochastic optimization model for economic operations of a typical microgrid by employing a scenario-based analysis approach to exploit various uncertainties associated with variable renewable energy (VRE) generations, electricity prices, and load demand. This stochastic model is aimed at generating the optimum schedules for various dispatchable generating resources such as micro-turbines, fuel cells, utility grid, energy storage devices as per the availability of the various VRE resources to meet the uncertain demand for a day-to-day microgrid operation. …”
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