Association between composite dietary antioxidant index and the prevalence of periodontitis: results from NHANES 2009–2014 by Xinru Chen, Rui Han, Xinwei Liu, Jincheng Xu

“…Additionally, a restricted cubic spline (RCS) regression model was applied to evaluate the potential non-linear dose–response relationship between CDAI and periodontitis prevalence. …”
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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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Mechanical Performance Test and Plastic Design Method Exploration of Narrow Width Steel Box Composite Beams by Yunteng Chen, Kaiqiang Qin, Yongchun Zhang, Zhenghua Li, Xiangsen Hu, Yawei Guo

“…The load–displacement characteristics, cross-sectional strain distribution, and failure characteristics of the composite beams were analyzed and the model was subjected to finite element numerical simulation and theoretical calculation. …”
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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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Novel Algorithm to Estimate Fat‐Free Muscle Volumes in Women Using the Urinary Deuterated‐Creatine Dilution Method by Darren Yuen Zhang Tan, Wei Fun Cheong, Shanshan Ji, Amaury Cazenave‐Gassiot, Jane Cauley, Liang Shen, Eu‐Leong Yong

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Quantifying Temporal Dynamics in Global Cyber Threats: A GPT-Driven Framework for Risk Forecasting and Strategic Intelligence by Fahim Sufi, Musleh Alsulami

“…The framework decomposes the dataset into quarterly intervals and applies mathematical formulations to compute frequency shifts across categorical variables (attack types, industries, countries) and numerical variables (attack significance), followed by robust statistical validations (Chi-square and ANOVA tests), time-series forecasting via ARIMA, and the computation of a Quarterly Composite Index (QCI). …”
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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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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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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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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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Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology by Milap G. Nayak, Reena D. Gamit

“…High R2 and R2adj values confirmed the effectiveness of a quadratic model in describing the effects of both single and interaction variables. …”
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Failure analysis of hybrid fiber reinforced polymer composite tubes subjected to quasi-static compressive load: an experimental study by S. Sivalingam, T. P. Sathishkumar, L. Rajeshkumar, M. Sathishkumar

“…Results portray that the crash behaviour of the composite tubes was dependent on the number of holes drilled on the circumference and the analysis of variance results revealed that the interaction between all the process parameters affected the output variables. …”
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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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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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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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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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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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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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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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