Different frequencies to estimate bone mineral content from raw bioelectrical impedance data in adolescent soccer players: a critical analysis by Marcus Vinicius de Oliveira Cattem, Josely Correa Koury

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Investigating the Compositional Heterogeneity of Pure, Crystalline Plagioclase Exposures within the Moon’s Anorthositic Crust Using Moon Mineralogy Mapper and Diviner Data by Mélissa Martinot, Kerri L. Donaldson Hanna, Benjamin T. Greenhagen, Luis Santori, Patrick N. Peplowski, Joshua T. S. Cahill

“…Observed variations in our spectroscopic data sets are likely related to maturity, not plagioclase composition, supporting a single crust-forming event rather than serial magmatism. …”
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VORTEX (Variscite origin recognition technology X-ray based) Data. A European geoarchaeological green phosphate compositional datasetZenodo by Daniel Sánchez-Gómez, José Ángel Garrido-Cordero, José María Martínez-Blanes, Rodrigo Villalobos García, Manuel Edo i Benaiges, Ana Catarina Sousa, María Dolores Zambrana Vega, Ferran Borrell, Rosa Barroso Bermejo, Primitiva Bueno Ramírez, Carlos P. Odriozola

“…It has been used to develop a data-driven framework that integrates portable X-ray fluorescence (p-XRF) analysis and machine learning (ML), to determine the provenance of archaeological artifacts based on its elemental composition. …”
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Is grip strength linked to body composition and cardiovascular risk markers in primary schoolchildren? Cross-sectional data from three African countries by Juerg Utzinger, Nicole Probst-Hensch, Honorati Masanja, Uwe Pühse, Bassirou Bonfoh, Ivan Müller, Cheryl Walter, Rosa Du Randt, Stefanie Gall, Siphesihle Nqweniso, Peter Steinmann, Markus Gerber, Fredros O Okumu, Serge Ayekoé, Jean T Coulibaly, Dao Daouda, Bomey Clément Gba, Benal Kouassi, Sylvain G Traoré, Marceline F Finda, Elihaika G Minja, Getrud J Mollel, Johanna Beckmann, Christin Lang, Kurt Z Long

“…Therefore, this study examines whether HGS is associated with body composition and markers of cardiovascular risk in children from three sub-Saharan African countries.Design Cross-sectional study.Setting Public primary schools (grade 1–4) in Taabo (Côte d’Ivoire), Gqeberha (South Africa) and Ifakara (Tanzania).Participants Data from 467 children from Côte d’Ivoire (210 boys, 257 girls), 864 children from South Africa (429 boys, 435 girls) and 695 children from Tanzania (334 boys, 361 girls) were analysed.Primary and secondary outcome measures Body composition (assessed via bioelectrical impedance analysis) was the primary outcome. …”
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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…Structural health monitoring (SHM) in fiber-reinforced polymer (FRP) composites is essential to ensure safety and reliability during service, particularly in critical industries such as aerospace and wind energy. …”
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Association between methylmalonic acid and composite dietary antioxidant index and diabetic retinopathy: data from National Health and Nutrition Examination Survey by Xue Pan

“…We aimed to explore the impact of MMA levels and the composite dietary antioxidant index (CDAI) on DR risk in patients with diabetes. …”
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Reallocating 24-hour movement behaviors and its impact on mental health in preschool children: a compositional data and dose-response analysis by Tian Wang, Junyu Wang, Xuelin Lu, Xuhui Chen, Lanzhi Chen, Yixin Liang, DongQing Yang, Yanmei Shi, Rui Li, Yong Yang, Beibei Luo, Jie Zhuang

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Composite anthropometric data quality index for children under the age of 5 on the Brazilian National Food and Nutrition Surveillance System, 2019–2021 by Rafaela Oliveira-Santos, Priscila Ribas de Farias Costa, Natanael de Jesus Silva, Juliana Freitas de Mello e Silva, Laís Silva Sacramento, Gilberto Kac, Rita de Cássia Ribeiro-Silva, Mauricio Lima Barreto

“…Abstract Background A composite evaluation that merges various data quality indicators separately enabled the researchers to score the overall data quality of the research. …”
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Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation by J. Fullea, S. Lebedev, M. R. Agius, A. G. Jones, J. C. Afonso

“…Investigating parameter inter‐dependencies, we show that accurate surface‐wave data and topography can constrain robust lithospheric models. …”
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Exploring the Nutritional Profile and Cost of Plant-Based Milk Alternatives Compared with Dairy Milk in the UK with Consideration of Environmental Impact Data by Gemma K Nowson, Rosalind Fallaize, Kate E Earl

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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

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Composition, Seasonal Dynamics and Metabolic Potential of the Rhizosphere Microbiome Associated with Wild White Poplar by Mikhail I. Popchenko, Dmitry S. Karpov, Natalya S. Gladysh, Maxim A. Kovalev, Vsevolod V. Volodin, George S. Krasnov, Alina S. Bogdanova, Nadezhda L. Bolsheva, Maria S. Fedorova, Anna V. Kudryavtseva

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Mathematical modeling of ice flow in the north-western Greenland and interpretation of deep drilling data at the NEEM camp by O. O. Rybak, J. J. Fürst, Ph. Huybrechts

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A generalized machine learning framework to estimate fatigue life across materials with minimal data by Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos

Subjects: “…Composites…”
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ToF-SIMS spectral analysis of pristine and neutron irradiated single crystal tungstenIEEE Data Portal by Gabriel D. Parker, Tobias K. Misicko, Tanguy Teriler, Yang Xiao, Xiao-Ying Yu

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Insight into territorial efficiency of circular economy through data envelopment analysis by Ivana Marjanović, Jelena J. Stanković, John Östh, Milan Marković, Marina Stanojević

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NEW DATA ON PYROCHLORE FROM THE TATARKA DEPOSIT (YENISEI RIDGE, RUSSIA) by V.I. Popova, P.S. Kozlov, A.V. Lapin, V.A. Popov, V.A. Kotllyarov, L.A. Pautov, M.A. Rassomakhin, V.V. Shilovskikh, I.A. Blinov

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Unsupervised learning of nanoindentation data to infer microstructural details of complex materials by Chen Zhang, Clémence Bos, Stefan Sandfeld, Stefan Sandfeld, Ruth Schwaiger, Ruth Schwaiger

“…Additionally, a cross-validation approach was introduced to infer whether the data quantity was adequate and to suggest the amount of data required for reliable predictions–one of the often encountered but difficult to resolve issues in machine learning of materials science problems.…”
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Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature by Muhammad Ishtiaq, Saurabh Tiwari, Molakatala Nagamani, Sung-Gyu Kang, Nagireddy Gari Subba Reddy

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Longitudinal data from a school-based intervention - The ACORDA project (Datos longitudinales de un programa intervención en la escuela - proyecto ACORDA) by Luísa Aires, Gustavo Silva, Ana Inês Alves, Ana Filipa Medeiros, Henrique Nascimento, Clarisse Magalhães, Clarice Martins, Petronila Rocha Pereira, Alice Santos-Silva, Luis Belo, Jorge Mota

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