THE STRUCTURE AND HISTORY OF ABYSSAL HILLS OF THE NORTH-WESTERN PACIFIC PLATE FROM CONTINUOUS SEISMIC PROFILING AND STRATIGRAPHIC DATA by V. L. Lomtev

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Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data by Nodoka Hara, Fabio Iesari, Toshihiro Okajima, Andrea Di Cicco

“…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. In particular, the RMC-GNXAS package provides models of the three-dimensional structure applying the reverse Monte Carlo (RMC) method to EXAFS of condensed or molecular systems. …”
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Automated Collection Planning for Civilian and Commercial Satellite Imagery, and Definition and Exploitation of the Collection Asset Specification Data Structure by Jeff Secker, Katerina Biron, Dany Dessureault, Pierre Lamontagne, Rodney Rear

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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…A total of 35 LiDAR metrics were calculated, of which 28 represent vegetation structural attributes. These include vegetation height (seven metrics), vegetation cover (fourteen metrics), and vegetation vertical variability (seven metrics). …”
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Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved] by Federico Alessandro Ruffinatti, Luca Munaron, Luca Visentin

“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach by Daniel Wrench, Tulasi N. Parashar

“…Structure functions (SFs), which quantify the moments of increments of a stochastic process, are essential complementary statistics to power spectra for analyzing the self-similar behavior of a time series. …”
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Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data by Jing Liu, Xinping Zhang, Kai Huang, Yuqi Wei, Xiao Guan

“…The experimental results indicate that secondary structure and spatial structure information contribute to improving model performance. …”
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Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action by Herbert Jodlbauer, Manuel Brunner, Nadine Bachmann, Shailesh Tripathi, Matthias Thürer

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Measurement of breathing in patients with post-COVID-19 using structured light plethysmography (SLP) by James Stockley, Brendan Cooper, Eyas Alhuthail, Andrew Coney

“…The effects on respiratory physiology are not yet fully understood, but evidence is emerging that there is much dysfunctional breathing reported but little information on tidal ventilation from the acute phase of the infection. Structured light plethysmography (SLP) is a contactless technique of respiratory function testing that measures tidal breathing parameters by assessing thoracoabdominal displacement.Methods In a postdischarge clinic, SLP was performed routinely on 110 hospitalised patients recovering from COVID-19 who had been screened for respiratory symptoms to confirm any respiratory changes occurring after the disease. …”
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Bridging the gap: empowering patients as research partners through a structured training program by Ashley Redding, Leah Copeland, Dana Murphy, Karen Clemmons-Lloyd, Kimberly Cummings, John Doyle, Sandy Kesavan, VeRonica Mitchell, Deyal Riley, Linda Stechison, Sara Santarossa

“…Main body The nine-week training program, created by Patient Engaged Research Center qualitative research experts, empowered patient partners to conduct qualitative research. The structure of the program included asynchronous video lessons, workbook exercises, and live sessions for practice. …”
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Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

“…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data. by Arif Rochman Fachrudin, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

“…This article presents a dataset generated from finite element simulations of square aluminum crash box with various re-entrant infill structures. The configurations include in-plane, out-of-plane and combined in-plane and out-of-plane geometries. …”
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Model-based estimates of age-structured SARS-CoV-2 epidemiology in households by Damon J. A. Toth, Theresa R. Sheets, Alexander B. Beams, Sharia M. Ahmed, Nathan Seegert, Jay Love, Lindsay T. Keegan, Matthew H. Samore

“…We paired these data with a probabilistic model of household importation and transmission composed of a novel combination of transmission variability and age- and size-structured heterogeneity. …”
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Frequency and Time-frequency-based Analysis of Pressure Drop Signals in Structured Packed Columns by Pietro Giustacori, Leonardo Zando, Riccardo Bacci Di Capaci, Elisabetta Brunazzi

“…Different liquid loads were investigated to enable a detailed study of the dynamic behavior of the structured packing during the onset of flooding. Two complementary methods were used for data analysis, a Fast Fourier Transform (FFT) was used to identify the dominant frequencies associated with the flooded stationary state. …”
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Modelling cell shape in 3D structured environments: A quantitative comparison with experiments. by Rabea Link, Mona Jaggy, Martin Bastmeyer, Ulrich S Schwarz

“…Cell shape plays a fundamental role in many biological processes, including adhesion, migration, division and development, but it is not clear which shape model best predicts three-dimensional cell shape in structured environments. Here, we compare different modelling approaches with experimental data. …”
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Doping investigation of structured GaN devices by highly lateral resolved TOF-SIMS by Patrick Diehle, Stephan Gierth, Mickael Lejoyeux, Karen Geens, Matteo Borga, Frank Altmann

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Geotectonics and geodynamics of structures of the stretching of continents and oceans, communications with rudo petroleum potential and seismicity by Vladimir Mikhaylovich Harchenko, Galina Valentinovna Kolyadova, Boris Fyodorovich Galaj, Marina Anatolievna Beytuganova

“…To assess the concepts about the structures of the stretching assembled factual material: data structures of stretching of various ranks in the Eastern and Western Ciscaucasia, and the Red Sea. …”
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The political structures and its influences in sport development in the state of Paraná, Brazil: the case of athletics by Lenamar Fiorese Vieira, José Luiz Lopes Vieira

“…Informer's record, semi-structured interview, research diary and documents, were used to collect the data. …”
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Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

“…Both in the manufacture and operation of structural elements made of layered composite materials, interlayer defects may occur upon impact as a result of operation or violation of manufacturing technology, which significantly reduces the strength characteristics of such structures. …”
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Uplink and downlink performance analysis of a structured coded NOMA in Cognitive Radio Networks by Wael Abd-Alaziz, Safaa N. Awny, Bilal A. Jebur

“…This study examines the uplink and downlink communication in a structured coded nonorthogonal multiple access (NOMA) in the context of cognitive radio networks (CRNs). …”
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