Spatiotemporal characterization of the isotopic composition of meteoric waters in Cuba by Alejandro Garcia-Moya, Carlos Manuel Alonso-Hernández, Ricardo Sánchez-Murillo, Yasser Morera-Gómez, Minerva Sánchez-Llull, Oscar Díaz Rizo, Osvaldo Cuesta Santos, Rosemery López Lee, Osvaldo Brígido Flores, Enma Odalys Ramos Viltre, Lucia Ortega

“…Event-based data demonstrated that precipitation associated with tropical cyclones exhibited lower isotopic compositions. …”
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Comparison of the Chemical Composition of the Middle Atmosphere During Energetic Particle Precipitation in January 2005 and 2012 by Grigoriy Doronin, Irina Mironova, Eugene Rozanov

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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…The main idea of our method is its adaptation of the SISAL algorithm, which expertly disentangles the ratio matrix, facilitating the identification of simplices within the ST data. STsisal offers a robust means to unveil the intricate composition of cell types in spatially resolved transcriptomic data. …”
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Gender composition in the work environment and physicians’ income from Medicare Part B fee-for-service payments: evidence from longitudinal data by Qing Gong, Xiaochu Hu

“…We allow the gender composition to have differential impacts on women and men by interacting it with the physician’s gender. …”
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Measurement of Neutral Atmosphere Density during the Years of Increasing Solar Activity Using Insight-HXMT Data with the Earth Occultation Technique by Hao-Hui Zhang, Wang-Chen Xue, Xiao-Bo Li, Shuang-Nan Zhang, Shao-Lin Xiong, Yong Chen, Hai-Tao Li, Li-Ming Song, Ming-Yu Ge, Hai-Sheng Zhao, Yun-Wei Yu

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Development of Criteria for Assessing Nutritional Status in Moscow Adults Using Bioimpedance Analysis Data by S. G. Rudnev, A. E. Ivanova, E. Z. Godina, A. V. Zubko, V. I. Starodubov

“…To develop the criteria for assessing nutritional status in Moscow adults using bioimpedance analysis data.Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of Moscow adults aged 18-96 in Moscow health centers between 2010 and 2019 by the method of bioimpedance analysis. …”
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Effect of condenser spray cooling on the performance of refrigerant pump heat pipe composite air conditioners by HUANG Xiang, WANG Xin, CHU Junjie, SU Lin, YAN Libo, YANG Liu, HU Jian

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Sediment Maps for the Continental Shelf of the US Gulf of America and South Atlantic Bight Using Compositional Kriging by Iliana Chollett, Christopher Gardner, Larry Perruso, John F. Walter III

“…Input data were extracted from the databases usSEABED and dbSEABED, and were in the form of 167,854 sediment samples with the percentage composition of sand, mud and gravel. …”
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Does the intervention approach matter for improving 24-hour physical behaviours among overweight and obese Brazilian office workers? by Luiz Augusto Brusaca, Nidhi Gupta, David M. Hallman, Andreas Holtermann, Dechristian França Barbieri, Ana Beatriz Oliveira

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In silico discovering relationship between bacteriophages and antimicrobial resistance by Maya Zhelyazkova, Roumyana Yordanova, Iliyan Mihaylov, Stefan Tsonev, Dimitar Vassilev

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Aerosol Composition in a Semi-Urban Environment in Central Mexico: Influence of Local and Regional Processes on Overall Composition and First Quantification of Nitroaromatics by Sara E. Olivares-Salazar, Roya Bahreini, Ying-Hsuan Lin, Telma Castro, Harry Alvarez-Ospina, Dara Salcedo

“…We used aerosol chemical composition and meteorological data from 1 January to 15 May 2022, along with back-trajectory modeling, to investigate emission sources not previously described in the region and the impact of local and regional meteorology on the chemical composition of aerosols. …”
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Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities by Alessandro Lagrotteria, Samuele Roccatello, Alberto Doretto

“…This study, conducted in Italy, aimed to complement data on river macroinvertebrates collected by the Regional Environmental Protection Agency (ARPA) with additional data gained by volunteers. …”
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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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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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Principles of Correction for Long-Term Orbital Observations of Atmospheric Composition, Applied to AIRS v.6 CH₄ and CO Data by Vadim Rakitin, Eugenia Fedorova, Andrey Skorokhod, Natalia Kirillova, Natalia Pankratova, Nikolai Elansky

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Nordic textile anatomy database: Composition of garments available in the nordic retail mass market and post-consumer textile waste marketDTU DATA by Heather Margaret Logan, Maggie Ziggie Søndergaard, Valentina Rossi, Kamilla Kastrup Hansen, Anders Damgaard

“…This database contains crucial data on each garment's fibre composition, finding presence, and layer presence. …”
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Data on Brazilian Powdered Milk Formulations for Infants of Various Age Groups: 0–6 Months, 6–12 Months, and 12–36 Months by Francisco José Mendes dos Reis, Antonio Marcos Jacques Barbosa, Elaine Silva de Pádua Melo, Marta Aratuza Pereira Ancel, Rita de Cássia Avellaneda Guimarães, Priscila Aiko Hiane, Flavio Santana Michels, Daniele Bogo, Karine de Cássia Freitas Gielow, Diego Azevedo Zoccal Garcia, Geovanna Vilalva Freire, João Batista Gomes de Souza, Valter Aragão do Nascimento

“…The thermal degradation behavior of the samples is not the same due to their fatty acid compositions. The data presented may be useful in identifying compounds present in infant milk powder used as a substitute for breast milk and understanding the mechanism of thermal stability and degradation, ensuring food safety for those who consume them.…”
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Explainable machine learning and feature engineering applied to nanoindentation data by C.O.W. Trost, S. Žák, S. Schaffer, L. Walch, J. Zitz, T. Klünsner, H. Leitner, L. Exl, M.J. Cordill

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