On Individual Repositioning Distance along Platform during Train Waiting by Fabien Leurent, Xiaoyan Xie

“…This paper provides a stochastic model, in which user’s journey is decomposed into phases of, successively, walking in the access station, platform positioning, waiting for boarding, train riding, and walking in the egress station. …”
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Probabilistic-fuzzy programming model with chance-constrained to optimize wastewater treatment plants: A case study with the Bantul wastewater treatment plant layout by Armanda Adiqya May Dwi, Sutrisno, Sunarsih, Widowati, Kartono

“…Unlike traditional deterministic or stochastic models, this approach integrates both probabilistic and fuzzy uncertainties capturing real-world variations in Biological Oxygen Demand (BOD) degradation rates and wastewater loads. …”
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Multiobjective Multistate System Preventive Maintenance Model with Human Reliability by Chao-Hui Huang, Chun-Ho Wang, Guan-Liang Chen

“…The MSS performance based on mean system unavailability and total maintenance cost is evaluated using a stochastic model approach, and then, the MSSPMM is used for optimisation. …”
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The mean and noise of stochastic gene transcription with cell division by Qi Wang, Lifang Huang, Kunwen Wen, Jianshe Yu

“…In this paper, we study the impact of cell division on the mean and noise of mRNA numbers by using a two-state stochastic model of transcription. Our results show that the steady-state mRNA noise with symmetric cell division is less than that with binomial inheritance with probability 0.5, but the steady-state mean transcript level with symmetric division is always equal to that with binomial inheritance with probability 0.5. …”
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Exploring Route Choice Behaviours Accommodating Stochastic Choice Set Generations by Shin-Hyung Cho, Seung-Young Kho

“…Many studies have focused on route choice behaviour using the stochastic model, and they have tried to construct the heterogeneous route choice model with various types of data. …”
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A General 3D Nonstationary Vehicle-to-Vehicle Channel Model Allowing 3D Arbitrary Trajectory and 3D-Shaped Antenna Array by Qiuming Zhu, Weidong Li, Ying Yang, Dazhuan Xu, Weizhi Zhong, Xiaomin Chen

“…This paper develops a general 3D nonstationary V2V channel model, which is based on the traditional geometry-based stochastic models (GBSMs) and the twin-cluster approach. …”
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SEDIMENT RUNOFF AND WATER TURBIDITY OF THE MAIN TRIBUTARIES OF THE LAKE LADOGA by Marina V. Shmakova, Sergey A. Kondratyev

“…The modeling of annual solid runoff and turbidity of the Ladoga tributaries is based on an analytical formula for sediment flow by M.V. Shmakova and a stochastic model of annual solid runoff (M.V. Shmakova). …”

A Combination of Classification Robust Adaptive Kalman Filter with PPP-RTK to Improve Fault Detection for Integrity Monitoring of Autonomous Vehicles by Hassan Elsayed, Ahmed El-Mowafy, Amir Allahvirdi-Zadeh, Kan Wang, Xiaolong Mi

“…Epoch-wise weighting adjustments in the robustness test create a more accurate stochastic model, aided by an adaptive unit weight variance (UWV) calculated with a sliding window, achieving a 7–28% UWV reduction. …”
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Characterization and Modelling of Multiscale Natural Fractures in Shale Reservoirs: A Case Study from a Block in the Southern Sichuan Basin by Shaohua Gai, Ailin Jia, Yunsheng Wei, Ruohan Liu

“…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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Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data by Liqiang Zhu, Ying-Cheng Lai, Frank C. Hoppensteadt, Jiping He

“…., 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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Impact of Cell Size Effect on Nutrient-Phytoplankton Dynamics by Tiancai Liao, Hengguo Yu, Chuanjun Dai, Min Zhao

“…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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Quantifying the energy imbalance in hydrogen energy storage-assisted power systems under heat waves by Wenqian Yin, Kun Zhuang, Pei Kong, Pengcheng Fan, Jilei Ye, Yuping Wu, Xun Dou

“…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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Short distances dominate connectivity patterns of coral communities in the North-West Arabian Sea by Michel R. Claereboudt, Gerd Bruss

“…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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Durable resistance or efficient disease control? Adult Plant Resistance (APR) at the heart of the dilemma by Rimbaud, Loup, Papaïx, Julien, Rey, Jean-François, Moury, Benoît, Barrett, Luke G., Thrall, Peter H.

“…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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Increasing extreme hourly precipitation risk for New York City after Hurricane Ida by Carolien Mossel, Spencer A. Hill, Nihar R. Samal, James F. Booth, Naresh Devineni

“…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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Qualitative financial modelling in fractal dimensions by Rami Ahmad El-Nabulsi, Waranont Anukool

“…Hence, a fractional stochastic model that includes the basic Black–Scholes model as a special case is expected. …”
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Genetic Rescue of the Dinaric Lynx Population: Insights for Conservation From Genetic Monitoring and Individual‐Based Modelling by Elena Pazhenkova, Matej Bartol, Barbara Boljte, Urša Fležar, Andrea Gazzola, Tomislav Gomerčić, Marjeta Konec, Ivan Kos, Miha Krofel, Jakub Kubala, Ladislav Paule, Mihai Pop, Hubert Potočnik, Barbara Promberger, Robin Rigg, Teodora Sin, Magda Sindičić, Vedran Slijepčević, Astrid Vik Stronen, Ira Topličanec, Tomaž Skrbinšek

“…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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A Stochastic Programming Approach for Scheduling Extra Metro Trains to Serve Passengers from Uncertain Delayed High-Speed Railway Trains by Sihui Long, Lingyun Meng, Xiaojie Luan, Alessio Trivella, Jianrui Miao, Francesco Corman

“…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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A First Application of the Backward Technique in Social Sciences: Exploring Demographic Noise in a Model with Three Personality Types by Roberto Macrelli, Margherita Carletti, Vincenzo Fano

“…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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Expected annual minima from an idealized moving-average drought index by J. H. Stagge, K. Sung, K. Sung, I. F. Munyejuru, M. A. I. Haidar

“…To accomplish this, we derive a stochastic model and use it to simulate 10 <span class="inline-formula">×10⁶</span> years of daily or monthly SPI values in order to determine the distribution of annual exceedance probabilities. …”
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