Statistical mechanics of dynamical system identification by Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, Krithika Manohar

“…To establish this analogy, we define the hyperparameter optimization procedure as a two-level Bayesian inference problem that separates variable selection from coefficient inference and enables the computation of the posterior parameter distribution in closed form. …”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…Our results also indicate that the distribution of the critical stability regions across protein-protein interfaces is a function of complex size more strongly than interface area. …”
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Prognostic Value of Radiological and Laboratory Biomarkers for Assessing Risk of Adverse Outcome in Patients with COVID-19 by А. D. Strutynskaya, M. А. Karnaushkina, L. I. Dvoretskiy, I. Е. Tyurin

“…The predictive model was built using gradient boosting and artificial neural network with sigmoid activation function.Results. Both CT signs (crazy-paving pattern, bronchial dilatation inside a lesion, peripheral distribution of symptoms, absence of a predominant distribution pattern, lesion grade and extent), and most of laboratory markers were associated with deterioration and its criteria. …”
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An Overview of Underwater Optical Wireless Communication Channel Simulations with a Focus on the Monte Carlo Method by Intesar Ramley, Hamdah M. Alzayed, Yas Al-Hadeethi, Mingguang Chen, Abeer Z. Barasheed

“…The reliability of MCS implementation is assessed using compliance with the Central Limit Theorem (CLT) and leveraging the Henyey–Greenstein phase function with full-scale random selection. As part of the tutorial component in this work, the MCS inner working is manifested using an object-oriented design method. …”
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Microscopic Analysis of the Rejuvenation Mechanism and Rejuvenation Effect of Asphalt Binders by Ke Shan, Chonghao Bao, Dandan Li, Chuanfeng Zheng

“…The deagglomeration ability of rejuvenators on asphaltene was explored by using a radial distribution function. The microscopic mechanism of asphalt rejuvenation was explained. …”
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In silico elucidation of the recognition dynamics of ubiquitin. by Dong Long, Rafael Brüschweiler

“…Using an energy-based reweighting approach, the statistical distribution of conformational states of ubiquitin is monitored as a function of the distance between ubiquitin and its binding partner Hrs-UIM. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…Specifically, the simulation demonstrates how different functional areas and their respective uses can be distributed across the designed site, allowing for a more informed and responsive design process. …”
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Simulation Effect Evaluation of CMIP6 Models on Climatic Elements in Huai River Basin by WU Chen, WANG Jingcai, SHAO Junbo, LI Xiangyu, WANG Wenyue

“…The general climate model (CMIP6) is the main means of large-scale simulation and prediction of future climate changes,but the simulation quality of its model data and applicability in different research regions need to be evaluated.Based on the measured data of 19 meteorological stations in the upper and middle reaches of the Huai River Basin from 1960 to 2014,this paper systematically evaluates the simulated climate data of 19 CMIP6 models using five precision indicators.The indicators include equidistant cumulative distribution function method,mean,dispersion coefficient (C_v),Pearson correlation coefficient (PCC),standard deviation (STD),and root-mean-square deviation (RMSE).Finally,the following conclusions are drawn:① Based on the simulation data of 19 CMIP6 models corrected for bias,the top two climate models for precipitation data simulation are preliminarily selected,including ACCESS-ESM1-5 and CMCC-ESM2.The top five climate models for simulating temperature data contain ACCESS-ESM1-5 and CMCC-ESM2;② The historical period data and measured historical climate data of the selected CMIP6 models are evaluated from two aspects of annual change trend and spatial distribution.Then,the CMIP6 model suitable for the upper and middle reaches of the Huai River Basin is verified and selected;③ Based on analyzing the influence of atmospheric circulation factors on climate,AO has a good correlation with the climate data of the upper and middle reaches of the studied basin,and the correlation between the model and atmospheric circulation data is close to the actual situation.The comprehensive evaluation shows that the most suitable models for simulating the upper and middle reaches of the Huai River Basin are ACCESS-ESM1-5 and CMCC-ESM2.The systematic evaluation of CMIP6 model data simulating the upper and middle reaches of the Huai River Basin provides theoretical and technical references for the rational selection and utilization of CMIP6 datasets for the research on climate change factors in future scenarios of the basin.…”
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Genome-wide identification and bioinformatics analysis of PRX gene family in Brassica rapa by CHEN Guohu, WANG Hao, LI Guang, TANG Xiaoyan, WANG Chenggang, ZHANG Lei, HOU Jinfeng, YUAN Lingyun

“…In order to further study the functions of class Ⅲ peroxidase (PRX) family genes in Brassica rapa (BrPRX), the BrPRX was identified by genome-wide analysis, and its bioinformatics analysis was carried out. …”
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Reviews and locate the access of citizens in Shirvan city To medical treatment by mohammad motamedi

“…One of the main tasks of urban and regional planners is the allocation of land to various urban uses, taking into account the role and function of the city, the city's economy, as well as the impact of interoperability of the users on each other. …”
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Robot path planning based on obstacle avoidance optimization and improved ant colony algorithm by HE Xingshi, CHEN Huiyuan

“…The adaptive transfer probability was used to adjust the selection method of nodes during path planning and the setting of initial pheromones based on the distribution of obstacles around the nodes, and the percentage that the ants generate effective paths for the first time increased from 60% to 92%. …”
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Bayesian Uncertainty Identification of Model Parameters for the Jointed Structures with Nonlinearity by Zhanpeng Shen, Xinen Liu, Chaoping Zang, Shaoquan Hu

“…The influence of observed sample size and prior distribution selection on the identification results is tested. …”
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Numerical Simulation of a Two-Dimensional Groundwater Pollute Transport Problem Using Incompressible Steady-State Navier-Stokes Equations and Diffusion-Convection Equations by Jacob Nyende, Isaac Enyogoi, John Mango, Henry Kasumba

“…Therefore, it is usually difficult to find a solution analytically, so we use the approximate method to generate an approximate function. One answer to this problem is the finite element approach (FEM). …”
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Extraction Method of Driver’s Mental Component Based on Empirical Mode Decomposition and Approximate Entropy Statistic Characteristic in Vehicle Running State by Shuan-Feng Zhao, Wei Guo, Chuan-wei Zhang

“…Therefore, this paper proposes an effective intrinsic mode function selection method for the approximate entropy of empirical mode decomposition considering the characteristics of the frequency distribution of road and vehicle information and the unsteady and nonlinear characteristics of the driver closed-loop driving system in vehicle driving state data. …”
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Multi-Objective Optimal Trajectory Planning for Woodworking Manipulator and Worktable Based on the INSGA-II Algorithm by Jiaping Yi, Changqing Zhang, Sihan Chen, Qinglong Dai, Hang Yu, Guang Yang, Leyuan Yu

“…The improved NSGA-II algorithm markedly enhanced both the uniformity of the population distribution and convergence speed. In practical applications, selecting suitable weightings to construct a normalized weight function can identify the optimal solution from the Pareto frontier curve. …”
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Optimization Problem for Probabilistic Time Intervals of Quasi-Deterministic Output and Self-Similar Input Data Packet Flow in Telecommunication Networks by G. I. Linets, R. A. Voronkin, G. V. Slyusarev, S. V. Govorova

“…To solve the research problem, the parameters of the output flow distribution were selected so that the approximation function was close to 𝛿𝛿-function. …”
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PCA Weight Determination-Based InSAR Baseline Optimization Method: A Case Study of the HaiKou Phosphate Mining Area in Kunming, Yunnan Province, China by Weimeng Xu, Jingchun Zhou, Jinliang Wang, Huihui Mei, Xianjun Ou, Baixuan Li

“…The research results show the following: (1) compared with other methods, the PCA-based interferometric pair optimization method significantly improves the selection performance. The minimum value decreases to 0.248 rad, while the mean and standard deviation are reduced to 1.589 rad and 0.797 rad, respectively, effectively suppressing error fluctuations and enhancing the stability of the inversion; (2) through comparative analysis of the effective pixel ratio and standard deviation of deformation rates, as well as a comprehensive evaluation of the deformation rate probability density function (PDF) distribution, the PCA optimization method maintains a high effective pixel ratio while enhancing sensitivity to surface deformation changes, indicating its advantage in deformation monitoring in complex terrain areas; (3) the combined analysis of spatial autocorrelation (Moran’s I coefficient) and spatial correlation coefficients (Pearson and Spearman) verified the advantages of the PCA optimization method in maintaining spatial structure and result consistency, supporting its ability to achieve higher accuracy and stability in complex surface deformation monitoring. …”
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Otimização do uso da água no perímetro irrigado do Gorutuba, utilizando-se a técnica da programação linear Optimization of water use in the Gorutuba irrigation district, Minas Gera... by Daniel Fonseca de Carvalho, Antônio Alves Soares, Carlos Antônio Alvares Soares Ribeiro, Gilberto C. Sediyama, Fernando Falco Pruski

“…The net income differences obtained in the optimization with and without restriction in the cultivated area of yearly crops were 15.2% and 10.2%, for the large and the small farm plots, respectively. The water distribution system does not limit the crop selection in the irrigation district. …”
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An Intelligently Enhanced Ant Colony Optimization Algorithm for Global Path Planning of Mobile Robots in Engineering Applications by Peng Li, Lei Wei, Dongsu Wu

“…Third, adaptive dynamic adjustment of the exponents <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula> is realized, dynamically balancing the pheromone and heuristic function. Fourth, a multi-objective heuristic function considering both target distance and turning angle is constructed to enhance the quality of node selection. …”
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Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network by Xiaorong Li, Lijun Zhang, Dongchen Li, Dan Guo

“…A strategy for optimizing the training of hybrid convolutional neural networks is proposed, using an exponential linear unit activation function to solve the problem of neuron dead zones, a hybrid pooling strategy is used to improve the problem of feature information loss in maximum pooling processing, and an improved cross-entropy loss function is used to solve the problem of insufficient learning of difficult classification samples. …”
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