Article
Chemistry, Multidisciplinary
Dahee Jung, Jieun Baek, Yosoon Choi
Summary: This study stochastically predicted ore production through discrete event simulation using four different probability density functions for truck travel times. The results showed that ore production was relatively accurate when using the normal and observed probability distribution of real data. The actual ore production was consistent with that of P50.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Interdisciplinary Applications
Li Huang
Summary: This paper presents an open-source toolkit called ACFlow for analytic continuation of quantum Monte Carlo data. The toolkit implements three popular analytic continuation algorithms, including the maximum entropy method, the stochastic analytic continuation, and the stochastic optimization method. The paper also demonstrates the major features, implementation details, basic usage, and outputs of the toolkit, as well as showcases four representative examples of analytic continuations.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Food Science & Technology
Surabhi Rani, Abani K. Pradhan
Summary: This study estimated the relationship of time and temperature with the survival rate of T. gondii during cooking and low temperature storage of fresh cut meats. The results showed that T. gondii was not detected in fresh meats when the temperature reached certain levels, providing valuable information for improving risk models and mitigating the public health burden of toxoplasmosis.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2021)
Article
Mechanics
Hakan Kaygusuz, F. Bedia Erim, A. Nihat Berker
Summary: By adjusting the ratio between molecular interactions and electric field strength, a modular electroosmotic flow can be achieved for separations.
Article
Engineering, Marine
Erling N. Lone, Thomas Sauder, Kjell Larsen, Bernt J. Leira
Summary: A probabilistic model based on the S-N approach is developed to study mooring chain fatigue damage. The model considers the effects of mean load and corrosion condition on the fatigue capacity of the chains and can address the uncertainties and time dependencies associated with them. Uncertainties in fatigue loads, including annual variability, are also taken into account. The model distinguishes between damage due to known loads and unknown loads, allowing for reduced uncertainties in case load history is available.
Article
Computer Science, Interdisciplinary Applications
Igor Krivenko, Andrey S. Mishchenko
Summary: TRIQS/SOM is a numerical analytic continuation package that introduces a number of new features in its latest version 2.0, including a complete implementation of Stochastic Optimization with Consistent Constraints, support for user-supplied covariance matrices, and a new family of integral kernels for fermionic Green's functions.
COMPUTER PHYSICS COMMUNICATIONS
(2022)
Article
Mathematics, Applied
Art B. Owen, Daniel Rudolf
Summary: This article presents a strong law of large numbers for integration on digital nets randomized by a nested uniform scramble, requiring the integrand to have a finite moment of order p for some p > 1. Previous results only applied to Riemann integrable functions, while previous weak laws for scrambled nets required a square integrable integrand. The generalization from L-2 to L-p for p > 1 is achieved through the Riesz-Thorin interpolation theorem.
Article
Pharmacology & Pharmacy
Qingxia Liu, Huiping Huang, Baohua Xu, Dandan Li, Maobai Liu, Imam H. Shaik, Xuemei Wu
Summary: The revised guidelines recommend maintaining the AUC/MIC of vancomycin at 400-600 mg·h/L as the target for efficacy. Two new methods for estimating AUC at steady state using multiple levels after the first dose can help achieve the effective target from the third or fourth dose.
Article
Management
Mohammad Tohidi, Masoumeh Kazemi Zanjani, Ivan Contreras
Summary: This paper presents a comprehensive two-level physician planning framework for polyclinics under uncertainty, addressing clinic scheduling and capacity planning at the first level, and physician scheduling and operational adjustments at the second level. By modeling the first level as an adjustable robust scheduling problem and the second level as a two-stage stochastic problem, the authors demonstrate superior total cost benefits of their approach over a single-level deterministic model through Monte-Carlo simulation and data from a university health center.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2021)
Article
Mechanics
Haibing Peng
Summary: Despite the widespread use of Navier-Stokes equations in computational-fluid-dynamics (CFD), there are still unanswered questions due to the absence of considering the statistical nature of discrete air molecules. In this study, we propose a statistical mechanics-based approach called the volume-element method, which allows for the numerical evaluation of aerodynamic lift and drag. We obtained pressure and friction values as a function of the angle of attack for flat-plate airfoils, and this method can be directly applied to convex-shape airfoils and combined with Monte Carlo simulations for concave-shape airfoils. This approach not only has implications for aerodynamic applications, but also opens up possibilities for further applications in Boson or Fermi gases.
Article
Chemistry, Physical
Feng Zhang, Xinhe Wang, Mingying Wu, Xinting Hou, Cheng Han, Zhongbing Liu
Summary: This study demonstrated the deterministic and robust optimization design of photovoltaic cells by considering uncertain factors, reducing the influence of uncertainties, and improving output reliability.
JOURNAL OF POWER SOURCES
(2022)
Article
Water Resources
S. Jamshid Mousavi, Kumaraswamy Ponnambalam, Alcigeimes B. Celeste, Ximing Cai
Summary: The paper introduces a new implementation method named FP-2022, which significantly reduces solving time by simplifying constraints and decreasing decision variables. It incorporates new expressions to improve optimality for a nonlinear objective function. The method is proven to be highly efficient and optimal through the optimization problem of a dam in Brazil and a five-reservoir system in India.
ADVANCES IN WATER RESOURCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Christopher M. Bourgeois, Leili Soltanisehat, Kash Barker, Andres D. Gonzalez
Summary: This article introduces a material planning framework that considers factors such as safety stock, multi-product order satisfaction, and inventory costs through network flow optimization and Monte Carlo simulation. The impacts on order fulfillment, work center utilization, and material inventory and production are evaluated through experimental scenarios.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Physics, Multidisciplinary
I-Kai Chen, Matthew D. Klimek, Maxim Perelstein
Summary: The study utilized a Monte Carlo simulation algorithm based on ANN for H -> 4l decay, with improvements in training algorithm to avoid numerical instabilities and achieve results close to the true value. The trained ANN is shown to be approximately bijective, despite potential issues with simulation quality.
Article
Automation & Control Systems
Yoav Freund, Yi-An Ma, Tong Zhang
Summary: There has been a growing body of research on bridging MCMC sampling and optimization, focusing on adapting convergence analysis techniques from optimization to the Langevin algorithms in MCMC sampling. This paper provides a positive answer to the long-standing question of whether dimension independent convergence rates can be achieved by the Langevin algorithm for Lipschitz or smooth convex functions with normal priors. By treating the Langevin algorithm as composite optimization, a new analysis technique is developed, leading to dimension independent convergence rates for such problems.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
