Evaluation of a body height and weight harmony among university students by Stanislaw B. Nowak, Ihor P. Zanevskyy

“…A body weight value was evaluated using BMI model too. Correlation between results of these two evaluations was determined using the Pearson interclass correlation coefficient. …”
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A Study on the Thermal Conductivity of Graphite Composite Insulation Material for Building Insulation by Ruhua Wang, Qianbin Yuan, Ze Zhang, Fei Zhang, Kecheng Zhao, Jian Xu, Tengfei Zhao

“…Through numerical simulation, three models comprising a total of 60 finite element (FE) models were constructed. …”
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Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques by Mohammed Benaafi, Waleed M. Hamanah, Ebrahim Al-Wajih

“…Study focus: The study focused on modelling and prediction of the isotope composition (δ¹⁸O and δ²H) of coastal groundwater using Artificial Intelligence (AI) models utilizing readily available groundwater hydrochemical dataset. …”
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Effect of extensional cyclic strain on the mechanical and physico-mechanical properties of PVC-NBR/graphite composites

“…The variation of electrical resistivity as will as the mechanical properties of PVC (polyvinylchloride)-NBR (acrylonitrile butadiene rubber) based conductive composites filled with different concentrations of graphite were studied. …”
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Improving and predicting the mechanical properties of foamed and stretched composite poly(lactic acid) films by S. Hussain, A. R. Dickson

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Factors Influencing Step Ablation in the Expansion Section of a Composite Nozzle in a Solid Rocket Motor by Jiming Cheng, Chunyu Zhang, Hang Yan, Xiping Feng, Guoqiang Zhu

“…An innovative thermochemical ablation model for composite nozzles was developed to account for wall recession. …”
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Correlation between ore mineralogical composition at different depths and Bond Work Index for the Erdenetiin Ovoo Cu-Mo porphyry deposit, Mongolia by Batmunkh Tumen-Ayush, Chinzorig Bavuu, Narangerel Adiyasuren, Davaajargal Darambazar, Ganbileg Davaajav, Khaliun Amartuvshin, Sondor Ganbat, Tsend-Ayush Tserendagva, Altankhuyag Dorjyunden, Ganzorig Chimed

“…The X-ray diffractometer data of mineral composition are used in setting up the prediction of the Bond Work Index estimation model. …”
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TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 2: Model evaluat... by S. Schmitt, S. Schmitt, S. Schmitt, F. J. Fischer, J. G. C. Ball, N. Barbier, M. Boisseaux, D. Bonal, B. Burban, X. Chen, G. Derroire, G. Derroire, G. Derroire, J. W. Lichstein, D. Nemetschek, N. Restrepo-Coupe, S. Saleska, G. Sellan, P. Verley, G. Vincent, C. Ziegler, J. Chave, I. Maréchaux

“…<p>TROLL 4.0 is an individual-based forest dynamics model that jointly simulates the structure, diversity, and functioning of tropical forests, including their water balance, carbon fluxes, and leaf phenology, while accounting for intraspecific trait variation for a large number of species. …”
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Improved MPCC and Generalised Predictive Speed Composite Control for Permanent Magnet Synchronous Motors by LÜ Degang, ZHANG Zeran, LIU Zhanzhuo

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Three-Dimensional Imaging of High-Contrast Subsurface Anomalies: Composite Model-Constrained Dual-Parameter Full-Waveform Inversion for GPR by Siyuan Ding, Deshan Feng, Xun Wang, Tianxiao Yu, Shuo Liu, Mengchen Yang

“…However, full-waveform inversion (FWI) for GPR data struggles to simultaneously reconstruct high-resolution 3D images of both permittivity and conductivity models. Considering the magnitude and sensitivity disparities of the model parameters in the inversion of GPR data, this study proposes a 3D dual-parameter FWI algorithm for GPR with a composite model constraint strategy. …”
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Physical Property Prediction of High-Temperature Nickel and Iron–Nickel Superalloys Using Direct and Inverse Composition Machine Learning Models by Jaka Fajar Fatriansyah, Dzaky Iman Ajiputro, Agrin Febrian Pradana, Rio Sudwitama Persadanta Kaban, Andreas Federico, Muhammad Anis, Dedi Priadi, Nicolas Gascoin

“…The model with the most favorable prediction accuracy is identified through the systematic variation of key parameters. …”
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Water temperature and acidity regime shape dominance and beta-diversity patterns in the plant communities of springs by Andreas H. Schweiger, Carl Beierkuhnlein

Subjects: “…beta-diversity, community composition, generalized dissimilarity modelling, helocrenic forest springs, hierarchical variation partitioning, niche space hyper volume, realized niche breadth, species commonness…”
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Screening Elite Genotypes of Durum Wheat Based on Univariate and Multivariate Stability Models under Unpredictable Environments by Sharyar Sasani, Armin Saed-Moucheshi

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Design strategy for 3D layer-to-layer angle interlock woven composites by Elena Sitnikova, Mingming Xu, Weiyi Kong, Shoufeng Hu, Shuguang Li

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Spectral Variations across Latitudes on Asteroid (3200) Phaethon by M. Angrisani, E. Palomba, A. Longobardo, E. Rognini, A. Migliorini, E. D’Aversa, G. Pratesi, C. Gisellu, F. Dirri, L. Piazzo, T. Arai

“…Several visible–near-IR spectra were obtained of Phaethon during 2003–2017, which have been collected together and analyzed with respect to its shape model. Using a thermal model, we examine the diurnal temperature variations across Phaethon’s surface (Δ T ∼ 600 K). …”
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Predicting piglet survival until weaning using birth weight and within-litter birth weight variation as easily measured proxy predictors by J.M. Mbuthia, C. Kasper, M. Zenk, G. Bee, C.C. Metges, G. Daş

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The effect of the lamella pitch in the transverse layer on the deformability and stress distribution in a three-layer CLT panel modeled as a composite plate by M. Yu. Troshin, A. V. Turkov

“…We studied the effect of the pitch of the transverse layer in a three-layer CLT panel on the deformation and distribution of the resulting normal stresses. The model was a composite orthotropic plate. Because of the lack of a unified methodology for calculating layered materials with orthotropic properties in the layers, the studies were carried out by means of the SCAD+ computational complex using the finite element method. …”
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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

“… Rubber composite sleepers can experience significant temperature variations in service, causing temperature-induced deformation. …”
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Variation of nano-ZnO/SBR modified asphalt features under photo-oxidative aging and optimization of the evaluation indexes based on rheological properties and chemical structure by Shengqian Zhao, Qinglong You, Jianming Ling, Jiake Zhang, Ekeoma Bridget Chineche, Jiaxing Wang

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Spatio‐Temporal Variation in Diet Among Age and Sex Cohorts of a Model Generalist Bird Species, the Great Tit Parus major: New Insights Revealed by DNA Metabarcoding by J. R. Coomes, J. P. Cuff, M. S. Reichert, G. L. Davidson, W. O. C. Symondson, J. L. Quinn

“…There was considerable variation in dietary richness and composition among seasons and years. …”
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