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

“…The chemical composition of all models is (X,Z) = (0.7,0.02). From the result of this study, linear relations on Luminosity-Period-Mass relationship and luminosity-period-radius-mass relationship have been derived for the fundamental mode. …”
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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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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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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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Variable Sound Insulation Structure with MFC Elements by Paweł GÓRSKI, Michał KOZUPA

“…One of the possible opportunities to extend the field of applications of active noise reduction systems is using active structures of variable sound insulation. The paper presents an analysis of ways of reducing noise with a structure of variable sound insulation consisting of a metal plate, active elements (Macro Fiber Composite), and a control system. …”
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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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Seasonal differences of Wyrtki Jet intraseasonal variabilities by Guojiao Cao, Tengfei Xu, Tengfei Xu, Zexun Wei, Zexun Wei

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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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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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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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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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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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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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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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