SOME DATA FOR SUBSTANTIATION OF CONTROLLING MICROELEMENT COMPOSITION OF HERBAL PLANT RAW MATERIALS by B. A. Komarov, L. V. Pogorel´skaya, A. I. Albulov

“…A substantial divergence with the available literature data is found. The necessity to form a domestic database for the complete microelement composition of herbal plant raw materials is substantiated.…”
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A Wavelet Decomposition Method for Estimating Soybean Seed Composition with Hyperspectral Data by Aviskar Giri, Vasit Sagan, Haireti Alifu, Abuduwanli Maiwulanjiang, Supria Sarkar, Bishal Roy, Felix B. Fritschi

“…This study assesses the effectiveness of combining handheld spectroradiometers with the Mexican Hat wavelet transformation to predict soybean seed composition at both seed and canopy levels. Initial analyses using raw spectral data from these devices showed limited predictive accuracy. …”
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The first data on composition and spectroscopy of quartzife-rousrocks from the Big Tyuters island by V. P. Lutoev, E. N. Terehkov, A. B. Makeyev, A. U. Lysuk

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Automated Processing of Mechanical Test Data for Various Composite Materials Using MATLAB by Vasile BRIA, Marius BODOR

“…The present work addresses this issue by proposing an algorithm written using MATLAB software and applying it in processing data from mechanical testing of selected composite materials with various compositions and behaviours.…”
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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

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A composite Feature Selection Method to improve Classifying Imbalanced Big Data by Shaymaa Razoqi, Ghayda Al-Talib

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Mathematical data processing according to digital image correlation method for polymer composites by Elena M. Strungar, Dmitrii S. Lobanov

“…The authors have identified the relation of the chosen parameters of experimental data processing using digital image correlation method with the scaled levels of consideration of composite materials strain processes. …”
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Long-Term Changes in Composition and Distribution of Bumblebees in Urban Areas by Michołap Paweł, Sikora Aneta, Sikora Marcin, Zając Krzysztof, Kadej Marcin

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HyPyRameter: A Python Toolbox to Calculate Spectral Parameters from Hyperspectral Reflectance Data by Michael S. Phillips, Christian Tai Udovicic, Jeffrey E. Moersch, Udit Basu, Christopher W. Hamilton

“…Spectral parameters can be combined thematically into red, green, and blue (RGB) images, called browse products , to visualize compositional variation across a surface. Here, we present the Hyperspectral Parameter (HyPyRameter) toolbox: an open-source library, written in Python, to calculate spectral parameters for hyperspectral reflectance data. …”
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Two-stage multiple imputation with a longitudinal composite variable by Xuzhi Wang, Martin G. Larson, Chunyu Liu

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Associations of reallocating time between movement behaviours with adiposity and physical fitness among employees: a compositional data analysis by Nucharapon Liangruenrom, Dorothea Dumuid, Zeljko Pedisic, Dyah Anantalia Widyastari, Waris Wongpipit, Piyawat Katewongsa

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Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Region (Italy) by Lucia Rita Pacifico, Annalise Guarino, Antonio Iannone, Stefano Albanese

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Assessing the damage: analyzing the impact of the COVID-19 pandemic on accelerometer-assessed 24-hour movement behaviours in Brazilian adolescents by Marcus V. V. Lopes, Ian Janssen, Bruno G. G. da Costa, Bruno N. de Oliveira, Gabrielli T. de Mello, Jean-Philippe Chaput, Kelly S. Silva

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Breakdown of the compositional data approach in psychometric Likert scale big data analysis: about the loss of statistical power of two-sample t-tests applied to heavy-tailed big data by René Lehmann, Bodo Vogt

“…Considering psychometric bipolar scale data as compositional data can enhance the statistical power of well-known paired and unpaired two-sample t-tests, supporting managerial decision-making and the development or implementation of health interventions. …”
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Promotion of Fruit Consumption Using Nutrition and Health Claims: Sufficiency of Available Data on Nutrition Composition by Anita Kušar, Kerstin Pasch, Igor Pravst

“…The comparison of existing data from FCDBs with new nutritional composition data from laboratory analyses for health promotion purposes was performed for four studied apple varieties (Golden Delicious, Gala, Idared, and Braeburn). …”
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Compositional Causal Identification from Imperfect or Disturbing Observations by Isaac Friend, Aleks Kissinger, Robert W. Spekkens, Elie Wolfe

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Turning Points in the Core–Periphery Displacement of Systemic Risk in the Eurozone: Constrained Weighted Compositional Clustering by Anna Maria Fiori, Germà Coenders

Subjects: “…Compositional Data (CoDa)…”
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Observer‐Based Sampled‐Data Controller in Saturated Systems via Composite Nonlinear Feedback by Valiollah Ghaffari, Ali Vazani, Saleh Mobayen, Amin Torabi Jahromi

Subjects: “…composite nonlinear feedback…”
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Convolutional neural network for homogenization of particulate composite materials based on finite element data by Tien-Thinh Le, Quoc Dat Ha, Huan Thanh Duong

“… This study develops a convolutional neural network model to predict the apparent mechanical properties of particulate composite materials based on finite element data. The particulate composite material is considered with random inclusions in size and position. …”
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Numerical Analysis of Damage in Composites: From Intra-Layer to Delamination and Data-Assisted Methods by Alireza Taherzadeh-Fard, Alejandro Cornejo, Sergio Jiménez, Lucia G. Barbu

Subjects: “…composite…”
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