Acid Aging of CFRP Composite Materials for Solar UAV Structure by Bing Shen, HongJun Liu, Shengli Lv, Zheng Li, Wen Cheng

“…Several typical empirical models were analyzed, and a hyperbolic tangent function empirical model with moisture content as the main variable was used to predict the CFRP flexural strength degradation process, and good results were obtained. …”
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OPTIMIZATION DESIGN OF COMPOSITE DRILL-BIT SPHERICAL SLIDING BEARING by WU KaiSong, YAN CaiXiu, DENG Tao, ZHAO Pan, JIA TongWei

“…Therefore,the ANSYS finite element analysis was adopted to establish the spherical composite bearing three-dimensional model; Used the contact finite element calculation to comparison and analysis the surface pressure distribution size and regularity of spherical and cylindrical; Lastly,used the spherical radius as design variables and the peak contact pressure as objective function establish composite bit sliding bearing optimization design model. …”
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Biomechanics over body composition: what matters most in the 40 by Emma Sterne, Chukwudum Okpalaoka, Pavan Patel, Alexa Fraga, Caitlin Kucharski, Pete Bommarito, Monique Mokha

“…A multiple linear regression model was developed using the stepwise technique to predict post-training 40 times from post minus pre changes (Δ) in running biomechanics and body composition variables, p < .05.Results The fitted regression model was 4.654 – 0.972 * (ΔLMM) − 0.961 * (ΔBF%) − 10.078 (ΔGCT) + 0.048 * (ΔvGRF). …”
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Effect of Oak Wood Aging on Chemical Composition of Wheat Distillate by Natalya V. Shelekhova, Irina M. Abramova, Tamara M. Shelekhova, Liubov I. Skvortsova, Natаlya V. Poltavskaya

“…The thermal treatment mode and extraction time were variables. The authors developed a set of express methods to define the composition of volatile organic impurities and the ionic composition of grain distillates. …”
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Mechanical Properties and Strength Grading of Engineered Bamboo Composites in China by Siyuan Tang, Aiping Zhou, Jiannan Li

“…Engineered bamboo composite (EBC) is a new high-strength anisotropic structural material, which has standardized sections and less inherent variability than the natural material. …”
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OPTIMIZATION OF DYNAMICALLY VARIABLE CUTTING MODES OF BATCH PROCESSING ON MULTI-POSITION MULTI-TOOL EQUIPMENT by G. M. Levin, B. M. Rozin, O. I. Steblinskaya

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Variable-Step Semi-Implicit Solver with Adjustable Symmetry and Its Application for Chaos-Based Communication by Vyacheslav Rybin, Ivan Babkin, Yulia Bobrova, Maksim Galchenko, Alexander Mikhailov, Timur Karimov

“…We show that the VS-MCD method is capable of changing the dynamics of the solution by changing the symmetry coefficient (reflecting the ratio between two internal steps within the composition step), which is useful for tuning the dynamics of the obtained discrete model, with no influence of the appropriate step size. …”
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Assessing the effects of reaction variables for enhanced chromium(III) adsorption efficiency using beidellite clay by Abduraboh Alraae, Ali Moussadik, Abdellah Benzaouak, Mohammed Kacimi, Mohammed Dahhou, Aicha Sifou, Adnane El Hamidi

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Transcriptomic and electrophysiological alterations underlying phenotypic variability in SCN1A-associated febrile seizures by Stefania Scalise, Alessandro Gaeta, Elio Aprigliano, Valeria Lucchino, Raffaele Covello, Mariagrazia Talarico, Barbara Puccio, Pietro Hiram Guzzi, Pierangelo Veltri, Antonio Gambardella, Lilian Juliana Lissner, Alessandra Morano, Pierangelo Cifelli, Veronica Alfano, Eleonora Palma, Gerardo Perozziello, Gabriele Ruffolo, Giovanni Cuda, Elvira Immacolata Parrotta

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Simulation of distribution of forces in traction circuit tracked chassis under conditions of variability ground resistance by K.A. Goncharov

“…This article describes the results of mathematical modeling of the distribution of forces in the traction circuits of tracked chassis under conditions of variability in resistance to soil movement that occurs when the machine is operating at the junctions of soil layers, as well as in soils with a mixed composition. …”
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Quantification of the Spectral Variability of Ore-Bearing Granodiorite under Supervised and Semisupervised Conditions: An Upscaling Approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt, Rene Kahnt, Ralf Loeser, Rudolf Suppes, Munkhjargal Chimeddorj, Tugsbuyan Tsedenbaljir, Undrakhtamir Alyeksandr, Tsedendamba Oyunbuyan

“…Hence, the spectral variability of the surface of an uncrushed rock will, in most cases, be higher than the internal chemical-mineralogical variability, which may impair statistical models built on field measurements. …”
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Spatial Variability of Soil Organic Carbon Stock in Gurje Subwatershed, Hadiya Zone, Southern Ethiopia by Temesgen Addise, Bobe Bedadi, Alemayehu Regassa, Lemma Wogi, Samuel Feyissa

“…The ordinary kriging (OK) method was used as a geostatistical tool and applied to model the spatial variability of soil organic carbon in this study. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…This study addresses the problem of simultaneous variable selection and model estimation in multivariate failure time data, a common challenge in clinical trials with multiple correlated time-to-event endpoints. …”
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Hip Fractures: Clinical, Biomaterial and Biomechanical Insights into a Common Health Challenge by Yunhua Luo

“…However, current clinical tools, such as FRAX, have notable limitations in accurately assessing fracture risk in individuals due to their reliance on statistical models, the treatment of interdependent risk factors as independent, and the omission of key variables like diabetes. …”
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Optimization on the Mechanical Properties of Aluminium 8079 Composite Materials Reinforced with PSA by Mohamad Reda A. Refaai, R. Meenakshi Reddy, Jayaprakash Venugopal, M. Venkata Rao, K. Vaidhegi, Simon Yishak

“…Mixture design with Design-Expert (Stat EASY) software package indicated the appropriate matrix and reinforcing combination proportions and how they influenced composites’ studied properties. Composites’ physical and mechanical properties were predicted and optimized using regression models created and the ideal mixture of matrix and reinforcement wt. …”
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Composite quantile regression approach to batch effect correction in microbiome data by Jiwon Park, Taesung Park

“…Additionally, to handle nonsystematic batch effects, we employ composite quantile regression. By adjusting the distribution of OTUs to be similar based on a reference batch selected using the Kruskal-Walis test method, we consider the variability at the OTU level.ResultsThe performance of the model is evaluated and compared with existing methods using PERMANOVA R-squared values, Principal Coordinates Analysis (PCoA) plots and Average Silhouette Coefficient calculated with diverse distance-based metrics. …”
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Chromium adsorption using a composite adsorbent of corn waste and bentonite by Miguel Herrera-Gavidia, Dalia Carbonel, Hugo Chirinos-Collantes

“…The findings suggest that the adsorption kinetics fit best with the pseudo-first-order model (R2 = 0.968), and the adsorption equilibrium fits with the Freundlich model (R2 = 0.997). …”
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The response of the water cycle to landscape configuration and composition in two Chilean basins by Marieta Hernández-Sosa, Mauricio Aguayo, Jorge Hurtado, Ovidio Llompart

“…However, it is still unknown how hydrological processes and streamflow respond to changes in landscape configuration and composition in hydrological basins. The relationship between landscape metrics and hydrological variables in two Chilean basins was analyzed for the last 4 decades. …”
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Experimental Investigation of Sorghum Stalk and Sugarcane Bagasse Hybrid Composite for Particleboard by Addisalem Adefris Legesse, Dawit Desalegn, Senthil Kumaran Selvaraj, Velmurugan Paramasivam, Utkarsh Chadha

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Failure Probability Analysis of Composite Pressure Tanks Using Subset Simulation by Youcef Sid Amer, Samir Benammar, Kong Fah Tee, Zouhir Iourzikene

“…The model was developed in two steps, first, the development of limit state functions for hoop and helical layers using netting analysis, and afterwards, a probabilistic computation with six random variables. …”
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