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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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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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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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

“…Three specimen groups with variable shear-span ratios (λ = 1.43, 1.77) and local stiffener specimens were designed to assess their localized compressive behavior. …”
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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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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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Growing Land‐Sea Temperature Contrast and the Intensification of Arctic Cyclones by Jonathan J. Day, Kevin I. Hodges

“…In this study we perform composite analysis of Arctic cyclone statistics using AFZ variability as an analog for climate change. …”
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Dendrochronology and Isotope Chronology of <i>Juglans neotropica</i> and Its Response to El Niño-Related Rainfall Events in Tropical Highlands of Piura, Northern Peru by Tone Marie Ektvedt, Michael N. Evans, Donald A. Falk, Paul R. Sheppard

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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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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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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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Ideological Field Model in the Ossetian Political Narrative by Tatyana Yu. Tameryan, Viacheslav I. Terkulov

“…The types of interaction between party concepts have been established - these are conceptual blends, adjacency, pairing or additivity. Variable models of political ergonyms and language codes that make them explicit are described. …”
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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

“…The influence of independent variables (PVA concentration: 7, 10 and 15.5; CA concentration: 5, 7 and 9; Gl concentration: 20, 25 and 50 % in relation to the polysaccharides weight) on the response variables (swelling degree, gel fraction, water vapor transmission rate, tensile strength, elongation at break and Young’s modulus) is evaluated. …”
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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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Surface processes and drivers of the snow water stable isotopic composition at Dome C, East Antarctica – a multi-dataset and modelling analysis by I. Ollivier, I. Ollivier, H. C. Steen-Larsen, B. Stenni, L. Arnaud, M. Casado, A. Cauquoin, G. Dreossi, C. Genthon, B. Minster, G. Picard, M. Werner, A. Landais

“…We find that the precipitation isotopic signal cannot fully explain the mean, nor the variability in the isotopic composition observed in the snow, from annual to intra-monthly timescales. …”
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Predicting Chemical Body Composition Using Body Part Composition in Boer × Saanen Goats by Izabelle A. M. A. Teixeira, Adrian F. M. Ferreira, José M. Pereira Filho, Luis O. Tedeschi, Kleber T. Resende

“…These body parts were used to develop prediction models for estimating body composition. The neck, loin, and 9–11th ribs accurately and precisely predicted the dry matter, ash, fat, protein, and energy body composition of goats, with most models also incorporating BW as a predictor variable. …”
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Functional traits mediate the elevational patterns of functional diversity and community structure of mosses in a tropical mountain area by Liqin Fu, Chengxiu Zhan, Haozhe Wang, Shikai Song, Peng Xu, Lina Zhang, Jiancheng Zhao, De Gao

“…We applied generalized additive models with a Gaussian function of variance to determine the elevational patterns of functional trait composition, diversity and community structure. …”
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