A Model Based on Neural Network to Predict Surface Settlement During Subway Station Construction: A Case Study of the Dongba-Zhongjie Station in Beijing, China by Jiaqi Zhang, Hua Jiang, Jinsen Wang, Jili Feng

“…To overcome challenges such as missing on-site settlement data and a limited number of monitoring points, this study proposes a composite prediction model that integrates finite element analysis, a time-series interval GA-BP neural network, and variational mode decomposition (VMD) techniques. …”
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From pixels to planning: scale-free active inference by Karl Friston, Karl Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Dimitrije Markovic, Alexander Tschantz, Magnus Koudahl, Christopher Buckley, Christopher Buckley, Thomas Parr

“…By construction, these scale-invariant models can be used to learn compositionality over space and time, furnishing models of paths or orbits: that is, events of increasing temporal depth and itinerancy. …”
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Spatial (Mis)Matches Between Biodiversity and Habitat Quality Under Multi-Scenarios: A Case Study in Shandong Province, Eastern China by Xiaoyin Sun, Ruifeng Shan, Qingxin Luan, Yuee Zhang, Zhicong Chen

“…Correlation analysis showed that related coefficients between HQ and four biodiversity indices (vertebrate, vascular plant, and vegetation formation type richness, and comprehensive biodiversity index) were all significant (<i>p</i> < 0.01), and coefficients were highest for the biodiversity composite index. An analysis of relative importance by the random forest algorithm indicated significant variation in driving factors for spatial distribution of HQ, biodiversity, and matches between them. …”
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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

“…For model selection, the Akaike information criterion, the coefficient of variation and the mean square error were used. …”
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DIALECTIC OF IDENTITY AND DIFFERENCES IN THE HISTORY OF RUSSIAN TRIOOLET by A. V. Ostankovich, E. V. Bublik

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A HABITAT SUITABILITY APPROACH TO EVALUATING LANDSCAPE PATTERNS FOR EASTERN WILD TURKEY by Kathleen K. Fleming, William F. Porter

“…Habitat suitability was defined for each pixel in the land‐cover classification as the average of the 2 models. Together, the models predicted considerable variation in habitat suitability across New York. …”
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Distribution patterns of gross primary production of mangrove ecosystems in Hainan Island and their driving mechanisms by ZHENG Yinqi1,2,3, SHI Xian3,4, CHEN Quan3,5, WU Lan3,5, CUI Wei6, WANG Wenmei1,2, SUN Zhongyi3,5*, TAN Ke7*

“…In this paper, the GPP of mangrove ecosystems in Hainan Island from 2016 to 2020 were estimated based on the mangrove vegetation photosynthesis-light use efficiency (MVP-LUE) model using Sentinel-2 imagery and environmental data, and the spatiotemporal distribution pattern of GPP and its driving mechanism were explored. …”
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Evaluation of the current status and risks of aquatic ecology in the Jialing River Basin based on the characteristics and succession trends of phytoplankton communities by Maojin Huang, Fei Xu, Jia Xia, Xue Yang, Fubin Zhang, Siyao Liu, Tuo Zhang

“…Morphological identification methods, random forest, neutral community model, and modified stochasticity ratio were used to analyze phytoplankton composition, environmental drivers, and community assembly mechanisms. …”
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Bio-Impedance Analysis of Human Upper Limbs Based on Transient Simulation Using the Finite Element Method by Enver Salkim, Tayfun Abut

“…The model can provide helpful insight into the effect of dielectric properties on the impedance variation of the upper limbs, which is otherwise challenging to investigate in practical studies. …”
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FEM amd BEM computing costs for acoustical problems by R. BOLEJKO, A. DOBRUCKI

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Biotic Interactions Shape Soil Bacterial Beta Diversity Patterns along an Altitudinal Gradient during Invasion by Yuchao Wang, Wenyan Xue, Jinlin Lyu, Ming Yue, Zhuxin Mao, Xuejian Shen, Xue Wang, Yang Li, Qian Li

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Evaluating the impacts of xylo-oligosaccharides on growth performance of broiler chickens: A meta-analytical study by M. Naeem, Dianna Bourassa, Samuel Rochell, Mike Bedford

“…Correlation analysis revealed a significant positive association between XOS levels and both ADG (R2 = 0.023, P = 0.031) and ADFI (R2 = 0.038, P = 0.009), while FCR showed no significant correlation (R2 = 0.004, P = 0.391). A predictive model for ADG (R² = 0.850, RMSE = 0.135) accounted for 85 % of the variation and demonstrated reliability through cross-validation, making it a robust for forecasting growth performance based on XOS inclusion rates. …”
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A MATHEMATICAL APPROACH TO INVESTMENT WITH CHARGE ON BALANCE AND VOLUNTARY CONTRIBUTIONS UNDER WEIBULL MORTALITY FORCE FUNCTION by Edikan Edem Akpanibah, Peter Benneth, Ase Matthias Esabai

“…To achieve this, there is need to develop an optimal portfolio which considers the volatility of the stock market price consisting of one risk-free asset and a risky asset which follows the Heston volatility model (HVM). Also, the portfolio considers additional voluntary contributions (AVC) by members, tax on the stock market price, charge on balance (CB), and the mortality risk of the pension scheme members (PSM) modeled by the Weibull mortality force function.  …”
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Continuous carbon fiber 3D printing with interweaving deposition for enhanced mechanical performance in fused filament fabrication by A. ElSherbiny, A.J. Qureshi, P. Mertiny

“…Representative volume element modeling and finite element analysis were conducted to evaluate the mechanical behavior, with results validated through experimental mechanical testing. …”
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Optimization of In_xGa_1−xN P-I-N Solar Cells: Achieving 21% Efficiency Through SCAPS-1D Modeling by Hassan Abboudi, Walid Belaid, Redouane En-nadir, Ilyass Ez-zejjari, Mohammed Zouini, Ahmed Sali, Haddou El Ghazi

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The Characteristics and Driving Factors of Soil Salinisation in the Irrigated Area on the Southern Bank of the Yellow River in Inner Mongolia: A Assessment of the Donghaixin Irriga... by Ziyuan Qin, Tangzhe Nie, Ying Wang, Hexiang Zheng, Changfu Tong, Jun Wang, Rongyang Wang, Hongfei Hou

“…This study examines the spatial distribution and determinants of soil salinisation through macro-environmental variables and micro-ion composition, integrating regression models and groundwater ion characteristics to elucidate the patterns and causes of soil salinisation systematically. …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…Results demonstrate a notable improvement in the accuracy of quantitative analysis compared to traditional standard curve models. This model not only diminishes the impact of matrix effects on quantitative analysis but also corrects instabilities arising from hardware, environmental conditions, and sample variations. …”
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Terrestrial landscape as the main driver of bacterioplankton communities along a hydrological network located in the Colombian Amazon by Natalie Díaz-Ruiz, Juan Luis Parra, María Carolina García-Chaves, Marcela Núñez, Sonia Sua, Hugo Sarmento, Gladys Inés Cardona, Juan Pablo Niño-García

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Learning from the local: the variety and spatial pattern of vocal mimicry in songs of the invasive white-rumped shama in Taiwan by Bao-Sen Shieh, Shih-Hsiung Liang, Shuo-Chen Chang

“…We suggest that individual differences play a crucial role in the model selection of heterospecific mimicry, and these differences may result from variations in individual learning ability or preferences, or from variations in the local auditory environment where the individuals inhabit.…”
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Multiproxy analysis of paleoredox conditions, paleoproductivity and organic matter enrichment in Cretaceous mudrocks of Bombe-Ediki and environs in the Douala sub-basin by Ngong Roger Ngia, Elie Fosso Menkem, Christopher Fuanya, Christopher M. Agyingi

“…Elemental compositions and their ratios suggest that the mudrocks were dominantly derived from a source area mainly consisting of felsic igneous rock with more silica (granitic rock) than an average granodiorite. …”
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