Optical Model of Laminated Remote Phosphor Films and Its Application in White LED by Yong-Hao Chen, Ning-Ze Zhuo, Peng Jiang, Shao-Wen Cheng, Peng-Fei Shen, Hai-Bo Wang

“…Based on Mie scattering and Monte Carlo ray tracing method, the transmission process of light in the remote phosphor film is described and the optical model of red and green laminated phosphor films is constructed. …”
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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows by Yeong-Ki Jung, Kyoungsik Chang, Jae Hyun Bae

“…The affine invariant ensemble algorithm (AIES) is selected to characterize the posterior distribution via Markov chain Monte Carlo sampling. Calibrated model coefficients are extracted from posterior distributions obtained through Bayesian inference, which is based on the point-collocation nonintrusive polynomial chaos (NIPC) method. …”
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Performance Analysis of Multi-UAV Optical Communication Systems Over Foggy Channel Under Málaga Turbulence and Pointing Error Impairments by Guanjun Xu, Xiaozong Yu, Jialin Wang, Zhaohui Song, Qinyu Zhang

“…Additionally, these performance metrics obtained through theoretical analysis in the presence of atmospheric turbulence, fog absorption, and pointing errors were corroborated by Monte Carlo simulations. Finally, the performance indicators under AF and DF relay protocols were compared.…”
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Design and Analysis of a Hybrid Exoskeleton for Upper Limb Rehabilitation by Wang Zheng, Liu Fanghua, Shao Jiawei, Wu Wanyi, Di Cheng

“…The coordinate system is established according to the hybrid exoskeleton mechanism, the kinematic model of the rigid body part of the mechanism is established by using the vector loop method, and the working space nephogram of the mechanism is drawn by Monte Carlo method to verify that it meets the space requirements for rehabilitation training. …”
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Reliable Service Execution Based on Probabilistic Moving Prediction in Mobile Wireless Sensor Network by Haiyang Hu, Junfeng Zhang, Hua Hu

“…By collaborating with each other，nodes in mobile wireless sensor network（MWSN）can filter，calculate and composite the data so as to provide it in forms of services to different users.However，due to the uncertain moving behavior and the limited wireless transmission，executing services in MWSN has to consider the time needed in nodes executing their services，and the physical region in which two nodes can communicate with each other by wireless channel.Probabilistic methods were used to define and predict the uncertain moving behavior of each node，and then the reliability was measured that two nodes can successfully communicate with each other under their wireless transmission range during a certain time period in the future.An approximate approach based on Monte Carlo simulation was also given to calculate nodes’ motions and the reliabilities of their successful communications.By consider the thresholds of execution time and the reliabilities of nodes’ successful communications，two algorithms were given to make the scheme of selecting nodes executing a group of services provided by the users，one using the approach of completely searching and one adopting the Pareto-dominated local k-th optimized method.Finally，experimented were conducted to evaluate our methods.…”
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A Novel Particle Filter Based on One-Step Smoothing for Nonlinear Systems with Random One-Step Delay and Missing Measurements by Zhenrong Yang, Xing Zhang, Wenqian Xiang, Xiaohui Lin

“…The particle filter is a nonlinear filtering method based on sequential Monte Carlo sampling. It shows excellent state estimation performance when dealing with nonlinear and non-Gaussian dynamic systems. …”
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Copula and semicopula transforms by Fabrizio Durante, Carlo Sempi

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Tirosin Kinase Inhibitors in Chronic Graft versus Host Disease: From Bench to Bedside by Jacopo Olivieri, Sabrina Coluzzi, Imma Attolico, Attilio Olivieri

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Comment on “Comparison of Diaphragmatic Stretch Technique and Manual Diaphragm Release Technique on Diaphragmatic Excursion in Chronic Obstructive Pulmonary Disease: A Randomized C... by Bruno Bordoni

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Lexical and Buffer Effects in Reading and in Writing Noun-Noun Compound Nouns by Sara Mondini, Giorgio Arcara, Carlo Semenza

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Introduction to string theory by Carlo Maccaferri, Fabio Marino, Beniamino Valsesia

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Correction: Gut microbiome modifications over time when removing in-feed antibiotics from the prophylaxis of post-weaning diarrhea in piglets. by Paola Cremonesi, Filippo Biscarini, Bianca Castiglioni, Carlo Angelo Sgoifo, Riccardo Compiani, Paolo Moroni

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Immunity to Human Immunodeficiency Virus (HIV) Infection by Carlo Torti, Mirko Paiardini, Andrea Gori

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Comment on “A Sustained Reduction in Serum Cholinesterase Enzyme Activity Predicts Patient Outcome following Sepsis” by Carlo Chiarla, Ivo Giovannini

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Study on the REV Size of Fractured Rock in the Non-Darcy Flow Based on the Dual-Porosity Model by Yuan Wang, Yu-long Niu, Qiang Feng

“…Combined with fracture networks generated by Monte Carlo Simulation technique, the PPCE is applied to the study on the REV size. …”
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Research on Inertial Isolation Rotation Modulation of Dual-Axis Inertial Navigation Based on Multi-Error Coupling Characteristics by Bo Zhang, Changhua Hu, Silin Hou, Jianxun Zhang, Jianfei Zheng, Xuan Liu

“…Based on the attitude changes in long-range guided weapons, Monte Carlo simulation verification was conducted, and the results showed that this scheme can improve inertial navigation accuracy by 10% to 20%.…”
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Cosmic Chronometers, Pantheon+ Supernovae, and Quasars Favor Coasting Cosmologies over the Flat ΛCDM Model by Peter Raffai, Adrienn Pataki, Rebeka L. Böttger, Alexandra Karsai, Gergely Dálya

“…We used the emcee code for fitting CC data, a custom Markov Chain Monte Carlo implementation for SNe and QSOs, and Anderson–Darling tests for normality on normalized residuals for model comparison. …”
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Headway Optimisation for Metro Lines Based on Timetable Simulation and Simulated Annealing by Yong Cui, Qing Yu, Chenyang Wang

“…Several different optimisation algorithms, including grid search, Monte Carlo, and simulated annealing, are developed and compared. …”
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Applying Energy-Dispersive X-Ray Fluorescence Analysis to Detect Tungsten Inclusions in Nuclear Fuel Rod End Plug TIG Welds by Runqiu Gu, Jianfeng Cheng, Wanchang Lai, Guangxi Wang

“…This study proposes a new method of detecting tungsten inclusions in nuclear fuel rod upper-end plug welds using energy-dispersive X-ray fluorescence (EDXRF) analysis. The Monte Carlo simulation method was used to simulate the process of detecting tungsten inclusions in nuclear fuel rod upper-end plug welds by the EDXRF. …”
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Combining Deterministic and Probabilistic Approaches in an Improved Volumetric Model With the Aim to Reduce Geological Uncertainties for Accurate Hydrocarbon Reserve Estimation: Ca... by Bawane Godwe Justine, Mambou Ngueyep Luc Leroy, Tchotang Theodore, Eze Eze Jordan

“…The application and validation of the proposed model were made through Interactive Petrophysics, Petrel software, and Monte Carlo simulation on Minitab Workspace. The results obtained by a deterministic approach on the investigated area of 2000 m2 give a total estimated quantity of oil in place of 11897.67 MMbbl, a total estimated quantity of gas in place of 27.79 Bcf, a total estimated quantity of recoverable oil of 3606.28 MMbbl, and a total estimated quantity of recoverable gas of 19.52 Bcf. …”
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