The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation by Sarah Brinkley, Jenny J. Gallo-Franco, Natalia Vázquez-Manjarrez, Juliana Chaura, Naa K. A. Quartey, Sahar B. Toulabi, Melanie T. Odenkirk, Eva Jermendi, Marie-Angélique Laporte, Herman E. Lutterodt, Reginald A. Annan, Mariana Barboza, Endale Amare, Warangkana Srichamnong, Andres Jaramillo-Botero, Andres Jaramillo-Botero, Gina Kennedy, Jaclyn Bertoldo, Jessica E. Prenni, Maya Rajasekharan, John de la Parra, Selena Ahmed

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Composite GDP nowcasting using macroeconomic variables and electricity data by Zhiqiang Lan, Zidi Liu, Guoyao Wu

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Compositional data analysis enables statistical rigor in comparative glycomics by Alexander R. Bennett, Jon Lundstrøm, Sayantani Chatterjee, Morten Thaysen-Andersen, Daniel Bojar

“…Abstract Comparative glycomics data are compositional data, where measured glycans are parts of a whole, indicated by relative abundances. …”
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Composite likelihood inference for analysis of individual animal identification data by Xueli Xu, Xiaoyue Zhang, Hal Whitehead, Dehan Kong, Ximing Xu

Subjects: “…Individual identification data…”
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Composite GDP nowcasting using macroeconomic variables and electricity data. by Zhiqiang Lan, Zidi Liu, Guoyao Wu

“…In this paper, we propose a composite GDP nowcasting model that combines predictions from a dynamic factor model using mixed-frequency macroeconomic indicators and a regression model using real-time electricity data. …”
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COMPOSITE MODEL ERROR SOURCES IN DISCRETE CHANNELS OF DATA CONVERSION by Yu. D. Ivanov, B. V. Lozka, Е. O. Kozljuk

“…Such an approach to errorstream naturally corresponds to the nature of the formation of errors in real data conversion channels. In addition to this, the correct determination of the length of burst errors in the composite model of the source of the error allows maximum use of corrective properties of the codes with the concurrence of the lengths of codewords and error packets, correctable codes.…”
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The changing socioeconomic composition of the Finnish prison population by Mikko Aaltonen, Joonas Pitkänen, Sasu Tyni, Pekka Martikainen

“…METHODS: Using total population register data, we examine annual changes across different groups in the measures of employment, receipt of social assistance, income, and education. …”
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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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Forestry Plans as the Source of Environmental Data for the Analysis of Bird Community Composition by Jakub Šimurda, Petr Šmilauer, Roman Fuchs

“…Forest management plans offer valuable data on forest species composition and structure, useful for large-scale bird conservation. …”
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Composite quantile regression approach to batch effect correction in microbiome data by Jiwon Park, Taesung Park

“…BackgroundBatch effects refer to data variations that arise from non-biological factors such as experimental conditions, equipment, and external factors. …”
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Data-driven Oxidation Kinetic Model Construction of Silicon Carbide Composites by Xiao Manyu, Zheng Wenqing, Luan Xingang, Xu Xinming

“…However, the material's inherent inhomogeneity, nonlinearity, anisotropy, and diverse failure modes make the damage and failure mechanisms of SiCf/SiC composites highly complex. This research integrates experimental methods with intelligent data analysis techniques to accurately characterize and predict the oxidation behavior and mechanical property evolution of SiCf/SiC composites under complex service conditions. …”
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Research progress in data-driven constitutive modeling of composite solid propellants by Bin Yuan, Hongfu Qiang, Chunguo Yue

“…Against this backdrop, this paper reviews the research on data-driven constitutive modeling of composite solid propellants. …”
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Compositional Data Analysis (CoDA) of Clinopyroxene From Abyssal Peridotites by I. Nishio, K. Itano, P. Waterton, A. Tamura, K. Szilas, T. Morishita

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Curing simulation and data-driven curing curve prediction of thermoset composites by Chenchen Wu, Ruming Zhang, Pengyuan Zhao, Liang Li, Dingguo Zhang

“…This paper focuses on developing a data-driven approach for predicting the degree-of-cure curve. …”
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On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios by Charanjit K. Khosa, Veronica Sanz

“…We study the impact of Run 2 LHC data on general composite Higgs scenarios, where nonlinear effects, mixing with additional scalars, and new fermionic degrees of freedom could simultaneously contribute to the modification of Higgs properties. …”
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APPLICATION OF SINGULAR SPECTRUM ANALYSIS METHOD IN FORECASTING INDONESIA COMPOSITE DATA by Latifah Nur Wijayanti, Mujiati Dwi Kartikasari

“…Thus, SSA will be utilized for forecasting ICI. The ICI data utilized is obtained from Yahoo Finance. On the basis of the forecasting result for the closing price of ICI from March 2, 2020 to March 28, 2022 using SSA, which yielded MAPE values of 1.59% for training data and 4.84% for testing data, it can be inferred that this method is accurate. …”
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A Proposal of Data - Driven Method for Determining the Weights of Composite Indicators by Kinga Kądziołka

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Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite by Dexin Ren, Jiuhou Lei

Subjects: “…data assimilation…”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…In the edge computing environment, an optimized deployment strategy based on the negative selection algorithm was proposed to reduce the data transmission time in the service composition. …”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…In the edge computing environment, an optimized deployment strategy based on the negative selection algorithm was proposed to reduce the data transmission time in the service composition. …”
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