Association between composite dietary antioxidant index and cognitive function impairment in the elderly: evidence from NHANES 2011–2014 by Yingying Qian, Qiang Liu, Tianlang Li

“…In a multivariate logistic regression model adjusted for confounding variables, the CDAI score was associated with the CERAD word learning subtest was still significant, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) was 0.94 (0.90,0.98), while the association with AFT and DSST was not statistically significant. …”
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Design of a Morphing Aircraft Based on Model Predictive Control by Wei Ren, Yingjie Wei, Cong Wang

“…This paper proposes a stable flight control strategy for a variable-span aircraft based on Model Predictive Control (MPC). …”
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A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework by Mengji Yang, Haiqing Zhang, Xi Yu, Aicha Sekhari Seklouli, Abdelaziz Bouras, Yacine Ouzrout

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Determinants of the effective tax rate in the tourism sector: a dynamic panel data model by José Moreno-Rojas, M. Rosario González-Rodríguez, Rosario Carmen Martín-Samper

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Modelling habitat requirements of Alburnus atropatena in the Jajroud protected River by Saleh Mahmoudi, Asghar Abdoli

“…The purpose of this study is to identify the optimal range of habitat variables for Alburnus atropatenae in the Jajroud protected river and compare different composite approaches in the modeling of this species.Material and methods: In this study, the habitat of A. atropatenae sampled in the form of 71 points in the Jajroud river. …”
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Localized Compression Behavior of GFRP Grid Web–Concrete Composite Beams: Experimental, Numerical, and Analytical Studies by Yunde Li, Hai Cao, Yang Zhou, Weibo Kong, Kun Yu, Haoting Jiang, Zhongya Zhang

“…Glass fiber-reinforced polymer (GFRP) composites exhibit significant advantages over conventional structural webbing materials, including lightweight and corrosion resistance. …”
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On a Schrödinger Equation in the Complex Space Variable by Manuel L. Esquível, Nadezhda P. Krasii, Philippe L. Didier

“…In the first one, we consider a wave associated with an object having the mass of an electron, showing that two waves, when considered as having only a free real space variable, are entangled, in the sense that the probability densities in the real variable are almost perfectly correlated. …”
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Evaluation of Biocomposite Cements for Bone Defect Repair in Rat Models by Alina Ioana Ardelean, Sorin Marian Mârza, Raluca Marica, Mădălina Florina Dragomir, Alina Oana Rusu-Moldovan, Mărioara Moldovan, Paula Maria Pașca, Liviu Oana

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LINEAR PULSATION CHARACTERISTICS OF MIRA VARIABLE STARS by M.Y. Rahimi Ardabili

“…The linear adiabatic pulsation-periods of Mira variable stars have been derived. Approximately 2701[1]models were calculated for M = 0.7 MΘ to 2 MΘ stars with radii from 180 RΘ to 340 RΘ and luminosities from 2800 LΘ to 10,000 LΘ. …”
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A novel machine learning based framework for developing composite digital biomarkers of disease progression by Song Zhai, Andy Liaw, Judong Shen, Yuting Xu, Vladimir Svetnik, James J. FitzGerald, James J. FitzGerald, Chrystalina A. Antoniades, Dan Holder, Marissa F. Dockendorf, Jie Ren, Richard Baumgartner

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Seasonal Changes in the Atmosphere of HD 80606 b Observed with JWST’s NIRSpec/G395H by James T. Sikora, Jason F. Rowe, Jared Splinter, Saugata Barat, Lisa Dang, Nicolas B. Cowan, Thomas Barclay, Knicole D. Colón, Jean-Michel Désert, Stephen R. Kane, Joe Llama, Hinna Shivkumar, Keivan G. Stassun, Elisa V. Quintana

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Experimental and process modelling of chemical composition and thermal ageing of Ti-doped cast Cu-Ni alloy for microstructural, conductivity, and mechanical properties by Cynthia C. Okechukwu, Francis O. Edoziuno, Adeolu A. Adediran, Silas O. Okuma, Augustine B. Okoubulu

“…A response surface methodology (RSM) was employed for statistical analysis, predictive modeling, and optimization, with Ti concentration (0.1–3.5 wt%) and aging temperature (400°C–500°C) as the independent variables, and tensile strength, elongation, hardness, impact strength, and electrical conductivity as response variables. …”
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Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

“…As a result, a multifactorial econometric model was created. Conclusion. The constructed autoregressive model is quite adequate, demonstrates stationarity for the time series of the dependent variable and can be considered suitable for predictive values of the current account of the balance of payments. …”
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ANALYSIS OF THE APPLICATIONS OF THE DATA-DRIVEN APPROACH IN EVALUATING THE THERMAL-PHYSICAL PROPERTIES OF COMPOSITES by Ruslan Lavshchenko, Gennadiy Lvov

“…The function of computational tools and computer technology is elaborated upon, especially with the modeling of thermo-physical properties and the simulation of production processes for composite materials. …”
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Seasonal differences of Wyrtki Jet intraseasonal variabilities by Guojiao Cao, Tengfei Xu, Tengfei Xu, Zexun Wei, Zexun Wei

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Experimental Investigation and Machine Learning Modeling of Tribological Characteristics of AZ31/B₄C/GNPs Hybrid Composites by Dhanunjay Kumar Ammisetti, Bharat Kumar Chigilipalli, Baburao Gaddala, Ravi Kumar Kottala, Radhamanohar Aepuru, T. Srinivasa Rao, Seepana Praveenkumar, Ravinder Kumar

“…Machine learning (ML) models, including linear regression (LR), polynomial regression (PR), random forest (RF), and Gaussian process regression (GPR), are implemented to develop a reliable prediction model that forecasts output responses in accordance with input variables. …”
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Self-excited Pulsations and the Instability Strip of Long-period Variables: The Transition from Small-amplitude Red Giants to Semi-regular Variables by Michele Trabucchi, Giada Pastorelli

“…This is critical for model-based studies of the PL relations of evolved stars and to exploit their potential as distance and age indicators, in particular given the sensitivity of the onset of pulsation to the envelope composition. …”
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Optimization of the composition of polysaccharide-based composite films as a potential food packaging material by T. V. Kryuk, T. G. Tyurina, O. S. Popova, N. A. Romanenko, G. P. Goncharuk, E. N. Trush

“…Theoretical calculations based on the regression model demonstrated a high correlation with the experimental data. …”
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Composition of the freshwater decapod crustacean communities in an area of mining in Brazilian Amazonia and the variation related to environmental parameters by Katherine Soares Morais, Claudia Antônia Campos Rodrigues de Oliveira, Alexandre de Oliveira Marques, Fúlvio Aurélio de Morais Freire, Lílian Lund Amado, Maria Clara Pinheiro de Souza, Leandro Machado de Carvalho, Gustavo Quevedo Romero, Bianca Bentes

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A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

“…This study attempts to develop a novel deformation model of rubber composite sleepers using response surface methodology (RSM) and machine learning (ML) techniques. …”
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