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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Structural Tectonic Scheme Creation Based on Seismic-Gravity Models and Isostasy Usage: Ural Case by Martyshko Petr, Ladovskii Igor, Byzov Denis, Tsidaev Aleksandr

“…They contain solution of non-linear (structural) inverse problem and the solution of the linear three-dimensional inverse problem taking note of the side sources. …”
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Weightage Identified Network of Keywords Technique: A Structured Approach in Identifying Keywords for Systematic Reviews by Sasidharan Sivakumar, Gowardhan Sivakumar

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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

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Comparing physical analogue and traditional videos for learning and emotional engagement by Tingting Zhu, Rutwa Engineer, Xaria Prempeh, Anna Ly, Michelle Craig, Andrew Petersen

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Field data on diversity and vegetation structure of natural regeneration in a chronosequence of abandoned gold-mining lands in a tropical Amazon forestMendeley Data by Jorge Garate-Quispe, Ramiro Canahuire-Robles, Marx Herrera-Machaca, Sufer Baez-Quispe, Gabriel Alarcón-Aguirre

“…This dataset can be useful for long-term study and monitoring of structure and tree diversity in relatively understudied yet important secondary forests after gold-mining abandonment. …”
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Constraints on the frontal crustal structure of a continental collision from an integrated geophysical research: The central‐western Betic Cordillera (SW Spain) by A. Ruiz‐Constán, A. Pedrera, J. Galindo‐Zaldívar, J. Pous, J. Arzate, F. J. Roldán‐García, C. Marin‐Lechado, F. Anahnah

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Evolution Characteristics of China's Big Food Concept Economic Statistics Data Under the Perspective of Food Security by Dafang WU, Quanyan WANG, Shuaishuai JIA

“…Based on agricultural and related industry statistics, as well as household consumption expenditure surveys, food statistics introduce the data framework of big food economy statistics. Based on agriculture, animal husbandry, and fisheries, food production structure statistics and trend analysis are carried out separately. …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…Here, we showcase a successful example of a data pipeline to efficiently move patient data to the cloud environment for structured storage. …”
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NMR Data Analysis of Acarbose by LI Yujiang, ZHAO Wei, TAO Le, LU Bohua, ZHENG Guo, ZHANG Haiyan, GUO Xiaohe, ZHAO Tianzeng

“…The molecular structure of acarbose was confirmed, providing a reliable data basis for the safety and quality control of acarbose drugs.…”
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Structured Dynamics in the Algorithmic Agent by Giulio Ruffini, Francesca Castaldo, Jakub Vohryzek

“…In the Kolmogorov Theory of Consciousness, algorithmic agents utilize inferred compressive models to track coarse-grained data produced by simplified world models, capturing regularities that structure subjective experience and guide action planning. …”
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Reconstructing missing data of damaged buildings from post-hurricane reconnaissance data using XGBoost by Hyunje Yang, Jun-Whan Lee, Steven Klepac, Armando Ulises Santos Cruz, Arthriya Subgranon, Junfeng Jiao

“…For each region, we analyzed the model’s performance depending on the missing structural features. We also demonstrated the importance of including geospatial, hazard, and damage level data by showing improved performance of XGBoost models compared to those trained only on known structural data. …”
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Challenges in antibody structure prediction by Monica L. Fernández-Quintero, Janik Kokot, Franz Waibl, Anna-Lena M. Fischer, Patrick K. Quoika, Charlotte M. Deane, Klaus R. Liedl

“…Advances in structural biology and the exponential increase in the amount of high-quality experimental structural data available in the Protein Data Bank has motivated numerous studies to tackle the grand challenge of predicting protein structures. …”
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Network structure and metropolitan mobility by Pavithra Parthasarathi

“…This research aims to develop quantitative measures that capture various aspects of the underlying network structure, using aggregate level travel data from fifty metropolitan areas across the US. …”
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Towards an understanding of the Structural Gap by Octavia Haure

“…This article presents some data from French and English film reviews, and in its capacity as a pilot study, is attempting to move towards an understanding of the structural gap between language macrostructures.…”
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Public order: Notion and structure by Tomić Zoran R.

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Encapsulation structure and dynamics in hypergraphs by Timothy LaRock, Renaud Lambiotte

“…We then turn to the impact of the observed structural patterns on diffusive dynamics, focusing on a variant of threshold models, called encapsulation dynamics, and demonstrate that non-random patterns can accelerate the spreading in the system.…”
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