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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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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Reliability and mechanical performance of timber–concrete composite beams in the non-linear domain by Nabil Daanoune, Nassim Kernou, Mamoun Fellah, Gamal A. El-Hiti

“…The structural reliabilities of the beams were assessed using the MCS, FORM, and SORM methods, in which the geometric and mechanical input characteristics were treated as random variables. Certain parameters significantly affect beam failure, such as the timber’s bending resistance, the concrete’s compressive resistance, and the degree of composite action.…”
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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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Geny: a genotyping tool for allelic decomposition of killer cell immunoglobulin-like receptor genes by Qinghui Zhou, Mazyar Ghezelji, Ananth Hari, Ananth Hari, Michael K. B. Ford, Connor Holley, S. Cenk Sahinalp, Ibrahim Numanagić

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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion by Yihang Peng, Jianjie Zhang, Songpeng Liu, Mingyang Zhang, Yichen Guo

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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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One factor to bind them all: visual foraging organization to predict patch leaving behavior with ROC curves by Marcos Bella-Fernández, Manuel Suero Suñé, Alicia Ferrer-Mendieta, Beatriz Gil-Gómez de Liaño

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Experimental Study on the Sediment-Trapping Performance of Different Coastal Protection Structures in a High-Tidal Range Area by Hao-Nan Hung, Hsin-Hung Chen, Ray-Yeng Yang

“…Physical model experiments were conducted in a wave basin with a movable-bed setup and variable water levels to simulate high tidal range environments. …”
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Monitoring the Time-Lagged Response of Land Subsidence to Groundwater Fluctuations via InSAR and Distributed Fiber-Optic Strain Sensing by Qing He, Hehe Liu, Lu Wei, Jing Ding, Heling Sun, Zhen Zhang

“…Subsequently, the seasonal-trend decomposition using the LOESS (STL) model was applied to extract annual cyclic deformation components from the InSAR-derived time series. …”
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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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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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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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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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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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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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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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An Intelligent Framework for Multiscale Detection of Power System Events Using Hilbert–Huang Decomposition and Neural Classifiers by Juan Vasquez, Manuel Jaramillo, Diego Carrión

“…This study contributes a scalable and adaptable solution for automated PQ event classification under variable conditions.…”
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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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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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