Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…Using a comprehensive dataset derived from various scientific publications, we focus on key input variables including the fine aggregate, GGBS, fly ash, sodium hydroxide (NaOH) molarity, and others. …”
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A statistical and machine learning approach for monthly precipitation forecasting in an Amazon city by Ewerton Cristhian Lima de Oliveira, Eduardo Costa de Carvalho, Edmir dos Santos Jesus, Rafael de Lima Rocha, Rafael de Lima Rocha, Helder Moreira Arruda, Ronnie Cley de Oliveira Alves, Ronnie Cley de Oliveira Alves, Renata Gonçalves Tedeschi

“…Additionally, we use meteorological data from a set of sensors installed at a meteorological station located in Belém to train multivariate statistical and machine learning (ML) models to predict precipitation. Besides the use of algorithms, another evaluation was conducted on Feature Composition based on statistical methods to investigate the impact of variables on the prediction.ResultsThe results obtained in our investigation indicate that the vector autoregressive moving average with exogenous regressors (VARMAX) model achieved the best performance in rainfall forecasting, with an average root mean square error (RMSE) of 9.1833 in time series cross-validation, outperforming the other models.DiscussionThe climate-driven patterns directly influenced the performance of the rainfall forecasting models evaluated in this study. …”
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Optical Detection of the X-Ray Flash in the Very Fast Nova V1674 Her: Optical Contribution of the Irradiated Accretion Disk by Izumi Hachisu, Mariko Kato

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Composite model-based estimate of the ocean carbon sink from 1959 to 2022 by J. Terhaar, J. Terhaar

“…Despite the importance of this natural carbon sink, estimates of its strength over the last decades remain uncertain, mainly due to too few and unevenly sampled observations and shortcomings in ocean models and their setups. Here, I present a composite model-based estimate of the annually averaged ocean carbon sink from 1959 to 2022 by combining the higher-frequency variability of the annually averaged estimates of the carbon sink from ocean models in hindcast mode and the long-term trends from fully coupled Earth system models. …”
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Numerical modeling of delamination in composite panel under low-velocity contact with hail by V.T. Le, Т. V. Burnysheva

“…A technique is proposed to simulate multiple impacts of hailstones on composite panels based on a developed model and testing of low-velocity hailstone impacts. …”
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Modeling Syngas Fermentation for Ethanol Production under Fluctuating Inlet Gas Composition by Noviani Arifina Istiqomah, Rendy Mukti, Made Tri Ari Penia Kresnowati, Tjandra Setiadi

“…Despite these fluctuations, the microbial system displayed resilience, stabilizing once gas composition returned to normal levels. These insights underscored the adaptability and robustness of syngas fermentation systems, making them viable for industrial applications where gas composition variability is inevitable. …”
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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…To effectively reduce the vibration of iron-core reactors, a vibration optimization method considering the magnetostrictive properties of Fe-based soft magnetic composite materials is proposed. First, an improved magnetostrictive model incorporating stress effects is established based on the classical Jiles–Atherton (J-A) model and the quadratic domain rotation theory. …”
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Impact of host physiology and external stressors on the bacterial community of Schmidtea mediterranea by Karolien Bijnens, Sofie Thijs, Rossella Alfano, Breanne McAmmond, Jonathan Van Hamme, Tom Artois, Michelle Plusquin, Jaco Vangronsveld, Karen Smeets

“…The microbiome composition exhibited high variability, with most of the bacteria belonging to the Betaproteobacteria. …”
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NONLINEAR MODELING USING CENTRAL COMPOSITION PLAN FOR FORECASTING OF CHARACTERISTICS OF RAW SAND BLEND by M. A. Sajkov, V. M. Karpenko, N. P. Dragun, E. V. Filipenko

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Application and evaluation of PCA-CA composite model for technical effectiveness in table tennis matches by Huagen Yin, Yanxiang Zhou, Xia Chen, Linbao Zhang, Jingshan Zhang, Cong Yao

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Effect of Interfacial Debonding on the Strength of Composite Structure-Similarity Scale Model for the Wing-Box by Shiyong Sun, Rui Yang, Zibin Yan, Wei Qian

“…Based on the wing-box structure, a model was established to analyze the strength of the scale model for the composite wing. …”
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Finite Element Modeling of Beam-to-Column Steel Timber Composite Joints with Different Parameters by Yifan Li, Yumo Wang, Yawen Zhong, Weisong Wei, He Su, Tianyu Gao

“…This study presents a comprehensive three-dimensional finite element modeling and parametric analysis of composite beam-to-column joints in steel–timber composite structures. …”
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Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…To optimize and analyze the heat transfer rate, Response Surface Methodology (RSM) is combined with a Central Composite Design (CCD) model, providing a robust framework for both sensitivity and optimization analysis. …”
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Analysis of Meteorological and Soil Parameters for Predicting Ecosystem State Dynamics by Lyazat Naizabayeva, Saberikamarposhti Morteza, Nurgul Seilova

“…This study presents a comprehensive quantitative analysis of the interplay between meteorological variables and soil conditions over the period 2018–2023 in the Almaty region. …”
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The Relationships among Exercise Behavior, Body Composition and Perceived Health Levels in University Students by Levent Sangün, Dilek Sevimli, Tuğba Uluer

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Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity by Sumin Heo, Sumin Heo, Andrew S. Butler, Marina Stamouli Simoncioni, Sam Moult, Maria Malamatari, Essam Kerwash, Susan Cole

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Landsat-observed changes in forest cover and attribution analysis over Northern China from 1996‒2020 by Xiaobang Liu, Shunlin Liang, Han Ma, Bing Li, Yufang Zhang, Yingying Li, Tao He, Guodong Zhang, Jianglei Xu, Changhao Xiong, Rui Ma, Wenfu Wu, Jiahua Teng

“…Using the Google Earth Engine platform, more than 40,000 images from Landsat-5, Landsat 7 and Landsat-8 were integrated, and the annual surface reflectance was normalized based on the multi-band least squares regression and maximum normalized difference vegetation index composite method. An ensemble learning model trained using high-resolution Gao-Fen 2 satellite imagery was used to generate the FFC long time-series product. …”
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Evaluation of lactation models in pasture-based dairy ewes in Bosnia and Herzegovina by Dragica Šalamon, Vinko Batinić, Stanko Ivanković, Neven Antunac, Alen Džidić

“…The Guo-Swalve model described all of the measured variables most successfully. …”
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THE FAILURE ANALYSIS OF THE SINGLE-LAP MULTI-BOLT COMPOSITE JOINTS BASING ON THE CONTINUUM DAMAGE MODEL by ZHOU YinHua, HOU Chi, ZHAO MeiYing, WAN XiaoPeng

“…In order to investigate the failure of composite multi-bolt joints,a continuum damage model for composites which achieved good agreements with experiments,and the Johnson-Cook plasticity model for bolts,were employed to model the singlelap multi-bolt composite joints in this paper. …”
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Random forest models highlight early Homo sapiens habitats and their relationship to lithic assemblage composition by Lucy Timbrell, James Blinkhorn, Matt Grove

“…We use an eco-cultural niche modelling approach to evaluate the importance of different environmental and geographical variables in determining where early humans could have lived, and the impact of habitat suitability on different aspects of the eastern African MSA lithic record. …”
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