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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Evaluation of changes in chemical composition and antioxidant activities from vine tea at different harvest times based on LC-MS, GC-MS, and data fusion algorithms by Lele Zhang, Zixin Zhang, Yu Zhao Hou, Simon Sani Ocholi, Liming Wang, Zhifei Fu, Changjun Liu, Zhonglian Zhang, Lifeng Han

“…By employing mass defect filtering (MDF) and a data fusion algorithm, the study examined compositional changes across different harvesting periods. …”
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Association of composite dietary antioxidant index and endometriosis risk in reproductive—age women: a cross-sectional study using big data-machine learning approach by Wenxin Chen, Kui Xiao, Chenyu Zhou, Jiajia Cheng, Zixuan Zeng, Fang Zhang

“…However, the precise connection between the composite dietary antioxidant index (CDAI)—a key measure of dietary antioxidants—and EM risk remains unclear. …”
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STUDY OF THE INFLUENCE OF THE COMPOSITION OF CULTURAL MEDIUM ON THE BASIS OF A WHITE CABBAGE ON DEVELOPMENT OF LEUCONOSTOC MESENTEROIDES AT THE PRE-FERMENTATION STAGE by V. V. Kondratenko, O. Yu. Lyalina, N. E. Posokina, A. Yu. Kolokolova, V. I. Tereshonok

“…Analysis of the experimental data showed that, depending on the type (composition) of the medium, the same species of microorganisms exhibit different dynamics of titer growth. …”
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Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

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Feasibility of fusion plasma burn control via real-time, sub-divertor neutral gas isotopic and compositional analysis by C.C. Klepper, E. Lerche, V. Graber, E. Delabie, E. Schuster, T.M. Biewer, J.D. Lore, P. Jacquet, M.J. Mantsinen, C. Marcus, B.R. Quinlan, the EUROfusion Tokamak Exploitation Team, JET Contributors

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Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy by Mingxi Zhang, Zefang Shen, Lewis Walden, Farid Sepanta, Zhongkui Luo, Lei Gao, Oscar Serrano, Raphael A. Viscarra Rossel

“…We used the centred log ratio (CLR) method to transform the data compositionally and then modelled POCmac, POCmic, POC (POCmac + POCmic), and MAOC with the spectra, using convolutional neural networks (CNN) and cubist for benchmarking. …”
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In Situ Compositional Analysis of Tomato Plants and Cell Wall Using Fiber Optic Fourier-Transform Near-Infrared Spectroscopy by Raghav Tewari, Ritu Joshi

“…The spectral signature analysis of each tomato plant was performed to see substantial differences in chemical compositions using chemometric data modeling of FT-NIR spectra. …”
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Periodic table-based compositional descriptors for accelerating electrochemical material discovery: Li-ion conductors and oxygen evolution electrocatalysts by Yen-Ju Wu, Yibin Xu, Lei Fang, Wenqin Peng, Ken Sakaushi, Meiqi Zhang, Masao Arai, Yukinori Koyama

“…The discovery of high-performance electrochemical materials is essential for sustainable energy technologies, yet conventional methods rely on trial-and-error experiments, time-consuming computations, and detailed structural data. To address these challenges, we introduce a periodic table-based compositional descriptor that requires only chemical formulas, enabling efficient material discovery with reversible design. …”
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A robust quantification of H2O in silicate glasses through micro-Raman spectroscopy: insights on the compositional effect by Filippo Ridolfi, Diego González-García

“…Regression analysis allows the achievement of improved water equations as a function of Rw/s and the anhydrous composition of the glasses, accounting for relatively low H2O uncertainties (average error = 0.16–0.17wt.%; standard error of the estimate, σest, = 0.21–0.22wt.%) compared to previous calibrations based on smaller compositional ranges and sample numbers. …”
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Magmatic Evolution and Compositional Characteristics of Tertiary Volcanic Rocks Associated with the Venarch Manganese Mineralization, Sw Qom, Central Iran by Mansoureh Mahdavi, Rahim Dabiri, Elham Shah Hosseini

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The effect of 6-weeks competition period training on body composition of boxers by Melike Nur Akgul, Oktay Cakmakcı

“…The effects of the competition period training on body composition were evaluated as related to pre- and post-test data. …”
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Peculiarities of physical fitness and body composition of students engaged and not engaged in sports by I.J. Zuoziene

“…Peculiarities of students’ physical fitness and body composition were identified through an international research project including Lithuania, Poland and Belorussia. …”
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The first experimentally obtained dataset on processing parameters and properties of soft magnetic composites by Radovan Bures, Vasily A. Milyutin, Maria Faberova, Zuzana Bircakova, Peter Kollar, Jan Fuzer

“…Abstract The present work describes the process of the creation and analysis of the first dataset containing processing parameters and functional properties of soft magnetic composites (SMC). All data were obtained experimentally using Fe-3% MgO system. …”
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Dataset on hydraulic burst pressure test of Type IV composite pressure vesselzenodo by Caroline Lüders, Sven Ropte, Daniel Schmidt, Martin Liebisch

“…The dataset provides information on the nominal tank design and winding layup, data of geometrical measurement of a nominal identical vessel, data of the ultrasonic inspection and the pressure and strain gauge data recorded during burst pressure test. …”
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Breadsticks with enhanced nutritional value for salt-free nutrition by Krivosheev A., Lukina S., Alekhina N., Gabelko Y., Agapov B.

“…The author suggests using enzymatic composition instead of table salt in breadsticks recipe for salt-free nutrition. …”
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Predicting composition of a functional food product using computer simulation by M. A. Nikitina, I. M. Chernukha, M. P. Artamonova, A. T. Qusay

“…One of the frontiers of science is the development of a digital twin for a food product to predict composition and properties of a future product. Today, however, computer simulation (modeling) is used for predicting the composition of a food product. …”
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Influence of the filler content on the free nanohole volume in epoxy-based composites by S. Tognana, W. Salgueiro, A. Somoza, A. J. Marzocca

“…Specifically, the influence of the filler content in the epoxy matrix on the nanohole volume is analyzed in terms of the mechanical and morphological properties of the composites fabricated. Nanoholes data were measured using positron annihilation lifetime spectroscopy recently published by the authors. …”
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Structural Health Monitoring of Laminated Composites Using Lightweight Transfer Learning by Muhammad Muzammil Azad, Izaz Raouf, Muhammad Sohail, Heung Soo Kim

“…Wavelet-transformed vibrational data from various classes of composite laminates are utilized to confirm the effectiveness of the proposed method. …”
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The role of composite financial index in measuring the financial health of higher education by Akidah Fitrah, Dodik Juliardi, Ahmad Priyono

“…Data analysis with a description of the variables primary reserve ratio, net operating revenue ratio, return on net assets ratio, viability ratio, and calculating the composite financial index (CFI) score to determine the financial health of higher education institutions. …”
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