NEW INSIGHT INTO THE STRUCTURAL MODEL IN SOUTHERN SUMATRA INDONESIA USING GRAVITY AND MAGNETIC DATA: IMPLICATIONS FOR GEOTHERMAL RESOURCES by Irfan Prasetyo, Wawan Gunawan Abdul Kadir, Dadi Abdurrahman, Darharta Dahrin, Khalil Ibrahim, Andri Kurniawan

“…The integration of gravity and magnetic data reveals new relationships between tectonic structures in the GSF zone and previously unexplored geothermal potential.…”
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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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Biomass prediction of Typha latifolia on a paludiculture site by combining structural and spectral features from UAS data by Christina Hellmann, Bernd Bobertz, Fabian Hübner, Nora Köhn, Jürgen Kreyling, Sebastian van der Linden

“…As single UAS surveys offer both structural and spectral information, UAS data will contribute to precise biomass and vegetation monitoring at high spatial resolution in upcoming rewetting efforts.…”
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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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Structural mapping for groundwater occurrence using remote sensing and geophysical data in Ilesha Schist Belt, Southwestern Nigeria by Stephen Olubusola Ilugbo, Isaac Aigbedion, Kesyton Oyamenda Ozegin

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Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data by Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi

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Gaussian Process Regression (GPR)-based missing data imputation and its uses for bridge structural health monitoring by Matteo Dalmasso, Marco Civera, Valerio De Biagi, Bernardino Chiaia

“…Abstract Structural health monitoring (SHM) apparatuses rely on continuous measurement and analysis to assess the safety condition of a target system. …”
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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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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…The approach integrates surface data from remote sensing and data from airborne magnetic geophysical surveys that provide information on the subsurface structures, to analyze structural lineament density analysis, orientation, and high permeable zones, and assess geothermal potential. …”
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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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Trajectory Planning for Autonomous Cars in Low-Structured and Unstructured Environments: A Systematic Review by Cristiano Souza de Oliveira, Rafael De S. Toledo, Vitor H. Tulux Oliveira Victorio, Aldo von Wangenheim

“…Moreover, we summarize the most adopted visual input sensors, their associated data structures that are used as search spaces for local planning, and sensor fusion techniques, which complement the advantages of different types of sensors. …”
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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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Experimental electronic structures of copper complexes with a biphenyldiimino dithioether – a model for blue copper proteins by Marek Fronc, Martin Breza, Lukáš Bučinský, Ingrid Jelemenská, Jozef Kožíšek

Subjects: “…electronic structures…”
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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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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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