Emergency Planning Zones Estimation for Karachi-2 and Karachi-3 Nuclear Power Plants using Gaussian Puff Model by Sümer Şahin, Muhammad Ali

“…The area about 3 km of K-2/K-3 NPPs site should be evacuated and an iodine thyroid blocking agent should be taken before release up to about 14 km to prevent severe deterministic effects. Stochastic effects may be avoided or minimized by evacuating the area within about 8 km of the K-2/K-3 NPPs site. …”
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Damping Effects Induced by a Mass Moving along a Pendulum by E. Gandino, S. Marchesiello, A. Bellino, A. Fasana, L. Garibaldi

“…The system is analysed through the application of a subspace-based technique devoted to the identification of linear time-varying systems: the so-called short-time stochastic subspace identification (ST-SSI). This is a very simple method recently adopted for estimating the instantaneous frequencies of a system. …”
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Probabilistic slope stability analysis on marine clay seabed considering spatial variability of soil parameters by Long Yu, Yang Bao, Kunming Ma, Yunrui Han, Yibin Yan, Bin Xu, Zhongtao Wang, Rui Pang

“…Based on the theory of stochastic fields and the method of limit equilibrium, this study introduces a quantitative method that incorporates spatial variability of soil parameters to evaluate submarine slope stability. …”
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A retrial queueing system with processor sharing and impatient customers by V. I. Klimenok

“…The problem of constructing and investigating a mathematical model of a stochastic system with processor sharing, repeated calls, and customer impatience is considered. …”
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Structure Functions of Rotation Measures Revealing the Origin of Fast Radio Bursts by Rui-Nan Li, Zhen-Yin Zhao, Qin Wu, Shuang-Xi Yi, Fa-Yin Wang

“…The statistical component, induced by stochastic fluctuations in electron density and magnetic field, aligns with RM scatter derived from pulse depolarization. …”
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A Graphical Approach for Hybrid Simulation of 3D Diffusion Bio-Models via Coloured Hybrid Petri Nets by Amr Ismail, Mostafa Herajy, Elsayed Atlam, Monika Heiner

“…This paper shows how HPNC can be used to construct and simulate systems that require three-dimensional as well as hybrid (stochastic/continuous) modelling. We use calcium diffusion in three dimensions to illustrate our main ideas. …”
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A Power Control Algorithm Based on Outage Probability Awareness in Vehicular Ad Hoc Networks by Xintong Wu, Shanlin Sun, Yun Li, Zhicheng Tan, Wentao Huang, Xing Yao

“…Furthermore, we build the interference model by stochastic geometric theory and then derive the expression between outage probability and cumulative interference. …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach by Faqeer ur Rehman, Clemente Izurieta

“…., convolutional neural networks (CNNs)) that have a stochastic nature (because of randomly initializing the network weights) in their training. …”
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A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour by Xiangjun Jiang, Zhongxiang Huang, Zhenyu Zhao

“…The network travellers are classified into three groups according to their route choice behaviour: travellers in the first group choose the shortest route following the route rapidity behaviour criterion with complete information forming the UE (user equilibrium) pattern, travellers in the second group choose the most comfortable route following the route comfort behaviour criterion with complete information forming the QUE (quantity adjustment user equilibrium) pattern, and travellers in the third group choose a route according to their perceived travel time with incomplete information forming the SUE (stochastic user equilibrium) pattern. The traffic flows of all three groups converge to a new UE-QUE-SUE mixed equilibrium flow pattern after interaction. …”
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Breast Carcinoma, Intratumour Heterogeneity and Histological Grading, Using Geostatistics by Vénus Sharifi‐Salamatian, Anne de Roquancourt, Jean Paul Rigaut

“…If any invariance paradigm representing a stochastic or geostatistic function could be discovered, this might help in solving the grading problem. …”
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Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security by Jing Luo, Dai Zhou, Wenjun Ma, Guohua Zhao

“…Based on a stated preference survey, we comprehensively analyze the travel psychology of residents and the advantages and disadvantages of rail transit and conventional buses, travel time, travel cost, travel security, and vehicle comfort and investigate the relationship between the relevant influencing factors and the transition probability from rail transit to buses. A stochastic utility theory is introduced to describe the transfer behavior pertaining to travel modes, and a binary Logit model for diversion transfer is constructed. …”
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Artificial intelligence for the prediction of the physical and mechanical properties of a compressed earth reinforced by fibers by Bentegri Houcine, Rabehi Mohamed, Kherfane Samir, Boukansous Sarra

“…The combination of root mean square propagation and stochastic propagation gradient descent with the momentum method is used to train the ANN. …”
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Improved estimates for extinction probabilities and times to extinction for populations of tsetse (Glossina spp) by Damian, Kajunguri, Elisha B., Are, John W., Hargrove

“…A published study used a stochastic branching process to derive equations for the mean and variance of the probability of, and time to, extinction in population of tsetse flies (Glossina spp) as a function of adult and pupal mortality, and the probabilities that a female is inseminated by a fertile male. …”
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Coherent beam combining of two all-PM thulium-doped fiber chirped pulse amplifiers by Bo Ren, Hongxiang Chang, Can Li, Tao Wang, Kaikai Jin, Jiayi Zhang, Kun Guo, Rongtao Su, Jinyong Leng, Pu Zhou

“…Through phase-locking the two channels via a fiber stretcher by using the stochastic parallel gradient descent (SPGD) algorithm, a maximum average power of 265 W is obtained, with a CBC efficiency of 81% and a residual phase error of λ/17. …”
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Circadian rhythm related genes signature in glioma for drug resistance prediction: a comprehensive analysis integrating transcriptomics and machine learning by Junbo Liao, Yingxing Duan, Xiangwang Xu, Yaxue Liu, Chaohong Zhan, Gelei Xiao

“…Methods Circadian rhythm-related genes (CRRGs) were identified using the least absolute shrinkage and selection operator (LASSO) regression, and stochastic gradient descent (SGD) was performed to form a circadian rhythm-related score (CRRS) model. …”
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The damage evolution law and life prediction of mortar under Freeze-thaw cycles and sulfate corrosion based on entropy weight method by Yizheng Jiang, Yuang Cui, Yi Song, Xuepeng Zhang

“…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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Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation by J. P. Perova, S. A. Lesko, A. A. Ivanov

“…During the research, stochastic modeling methods were used along with methods and models derived from graph theory, as well as tools and technologies of object-oriented programming for the development of systems for collecting data from mass media sources, and simulation modeling approaches.Results. …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

“…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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Liberties of the genome: insertions of mitochondrial DNA fragments into nuclear genome by M. V. Golubenko, V. P. Puzyrev

“…The constant flow of functionally inactive DNA sequences from mitochondria into the nucleus and its significance could be studied in view of the modern concepts of evolutionary theory suggesting non-adaptive complexity and the key role of stochastic processes in the formation of genomic structure.…”
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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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