Process-driven strength enhancement and progressive damage analysis of three-dimensional woven composites traction rods by Hao Huang, Zhongde Shan, Yanming Xing, Zitong Guo, Chunguang Yang, Jianhua Liu, Zheng Sun, Xiaohui Ao, Dong Wang, Chenchen Tan, Weihao Wang, Juncheng Luo

“…This study presents a comprehensive methodology for optimizing the process parameters of three-dimensional (3D) woven composites traction rods using a progressive damage failure model and an embedding feature selection-based back propagation neural network (EFSBPNN) surrogate model. …”
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Temporal Dynamics of Species Richness and Composition in a Peri‐Urban Tropical Frog Community in Central Brazil by Marcos R. Severgnini, Mônica M. deOliveira, Luciana M. Valério, Diogo B. Provete

“…To test the effect of weather variables on species richness and abundance, we used Generalized Additive Mixed‐effects Models. …”
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ELemental Abundances of Planets and Brown Dwarfs Imaged around Stars (ELPIS). II. The Jupiter-like Inhomogeneous Atmosphere of the First Directly Imaged Planetary-mass Companion 2M... by Zhoujian Zhang, Paul Mollière, Jonathan J. Fortney, Mark S. Marley

“…The retrieved atmospheric models also match the observed variability amplitudes of 2MASS 1207 b. …”
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The association of Whole and Segmental Body Composition and Anaerobic Performance in Crossfit® athletes: sex differences and performance prediction by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Dominguez, Javier Benítez-Porres

“… The main purpose of this study was to establish the association between total and segmental body composition (BC) variables and anaerobic performance and to create optimal models that best predict such performance in CrossFit® (CF) athletes. …”
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Body size, richness, and abundance of Staphylinidae unaffected by landscape composition and cropping system in a push–pull maize system in Kenya by Nina Garcia Devine, Tim Luttermoser, Katja Poveda

“…Research shows that increasing agricultural area at the landscape scale can have variable effects on functional traits such as body size in predators. …”
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A core-shell magnetic layered double hydroxide composite material for the effective decolorization of phenol red by Şakir Yılmaz

“…Furthermore, the statistical model obtained from BBD was sufficient to estimate the PR decolorization on Fe3O4/NiMn-LDH (p < 0.0001). …”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…The integration of reliability and optimization concepts seeks to design structures that should be both economic and reliable. This model is called Reliability-Based Design Optimization (RBDO). …”
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Forest fire severity estimation based on the LiDAR-PNOA data and the values of the Composite Burn Index by A. L. Montealegre, M. T. Lamelas, M. A. Tanase, J. de la Riva

“…The aim of this research is to estimate the post-fire severity, relating a pool of independent variables derived from the LiDAR (Light Detection And Ranging) points clouds delivered by the National Plan for Aerial Orthophotography (PNOA) to field data based on Composite Burn Index collected in four fires located in Aragón (Spain). …”
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Earth-like Exoplanets in Spin–Orbit Resonances: Climate Dynamics, 3D Atmospheric Chemistry, and Observational Signatures by Marrick Braam, Paul I. Palmer, Leen Decin, Nathan J. Mayne, James Manners, Sarah Rugheimer

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Associations of dietary inflammation index and composite dietary antioxidant index with all-cause mortality in COPD patients by Sue Zhao, Yingjie Su, Hongzhong Yang

“…Multivariate Cox proportional hazard models were used to analyze the effects of DII and CDAI on all-cause mortality in COPD. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…All coefficients of determination (R 2) for all predicted variables were above 0.86 and achieved lower estimation RMSEs than all previous work on 10 metrics of body composition.…”
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Physical Model Tests on Reinforced Loess Foundation Model Under Wetting and Loading by ZHANG Wan, MU Hongkun, LIU Fengyin, GUO Huaining, ZHAO Wei, XUE Yifeng

“…Loess from Yan’an was selected for the foundation soil, and biaxial geogrids with different stiffnesses were used as model reinforcements. Linear variable differential transformers were installed above the foundation surface to measure the settlements of the foundation. …”
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Validation of body composition parameters extracted via deep learning-based segmentation from routine computed tomographies by Felix O. Hofmann, Christian Heiliger, Tengis Tschaidse, Stefanie Jarmusch, Liv A. Auhage, Ughur Aghamaliyev, Alena B. Gesenhues, Tobias S. Schiergens, Hanno Niess, Matthias Ilmer, Jens Werner, Bernhard W. Renz

“…In this study, we developed and validated a flexible, open-access pipeline integrating available deep learning-based segmentation models with pre- and postprocessing steps to extract body composition measures from routine computed tomography (CT) scans. …”
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Investigation of mass and heat transport in bi-directional stretched flow of Sisko fluid with variable magnetic field and radiation effects via OHAM by Muhammad Sohail, Syed Tehseen Abbas, Kamaleldin Abodayeh

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Quantifying the impact of surface roughness on contact angle dynamics under varying conditions by Mehdi Razavifar, Arastoo Abdi, Ehsan Nikooee, Omidreza Aghili, Masoud Riazi

“…Abstract Despite extensive research in recent years to clarify the role of fluid composition on reservoir wettability, understanding the properties of rock and its solid surface characteristics and their effects on wettability and its alteration remains limited and requires further investigation. …”
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Experimental Study on Fatigue Performance of Composite Box Girder With Steel Bottom Plate and Corrugated Steel Webs by Shijin Wang, Genhui Wang, Jiang Fan, Zichen Zhang

“…In order to study the fatigue performance and fatigue failure mode of the composite box girder with steel bottom plate and corrugated webs (SBCSWs), the model beam was made and the constant and variable amplitude fatigue experiment were performed. …”
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Parametric characterization of a mesomechanic kinematic caused by ondulation in fabric reinforced composites: analytical and numerical investigations by Marco Romano, Ingo Ehrlich, Norbert Gebbeken

“…The mesomechanic kinematic can be observed in both the analytic model and the FE-analyses. The analytic model yields hyperbolic correlations due to the strongly simplifying presumptions that neglect elasticity. …”
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Digital Environmental Management of Heat Stress Effects on Milk Yield and Composition in a Portuguese Dairy Farm by Daniela Pinto, Rute Santos, Carolina Maia, Ester Bartolomé, João Niza-Ribeiro, Maria Cara d’ Anjo, Mariana Batista, Luís Alcino Conceição

“…These discrepancies may be related to genetic differences between animals, variations in diets, production levels, management conditions, or the statistical models used in previous studies. Dry matter intake proved to be an important predictive variable. …”
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Insights Into Magma Reservoir Dynamics From a Global Comparison of Volcanic and Plutonic Zircon Trace Element Variability in Individual Hand Samples by Barbara C. Ratschbacher, C. Brenhin Keller, Kari M. Cooper

“…Modeling of felsic systems (>68.5 wt.% SiO2) indicates that the similar average variability in felsic volcanic and plutonic hand samples cannot be reproduced by closed‐system crystallization of compositionally distinct melts locally within a magma reservoir (i.e., isolated melt pockets in a crystal mush) but requires mixing of at least two felsic melt compositions at a small spatial scale. …”
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The Impact of Test Number on the Mechanical Properties of Dracaena Draco Cellulose Fibers for Composite Structures: Weibull Statistic by Abdelwaheb Hadou, Ahmed Belaadi, Messaouda Boumaaza, Boon Xian Chai, Mahmood M. S. Abdullah, Ibrahim M. H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

“…The mechanical properties data were statistically analyzed using Weibull and log-normal distributions, as well as their variability was examined and estimated via maximum likelihood and least-squares prediction model with a 95% confidence level.…”
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