Spatial distribution of structural lineaments in the Al-Lith geothermal field, western Saudi Arabia: Remote sensing and aeromagnetic data analysis by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Daffa Arrofi, Pantelis Soupios

“…Therefore, this paper aims to delineate the prospective geothermal area, utilizing remote sensing and geophysical (magnetic) data. This research maps the surface and subsurface geological and structural features (faults, fractures, and fold axes) and analyzes their densities using an integrated geological-remote sensing-geophysical investigation. …”
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Exploring the influence of circular economy on big data analytics and supply chain resilience nexus: A structural equation modeling approach by Samia Islam, Sanjida Hassan, Sourav Hossain, Tazim Ahmed, Chitra Lekha Karmaker, A.B.M. Mainul Bari

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Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior by Shuyuan Chen, Yingguang Li, Changqing Liu, Zhiwei Zhao, Zhibin Chen, Xiao Liu

“…This paper presents a global RSF inference method for the die-forging structural parts based on the fusion of monitoring data and distribution prior. …”
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Modeling forest canopy structure and developing a stand health index using satellite remote sensing by Pulakesh Das, Parinaz Rahimzadeh-Bajgiran, William Livingston, Cameron D. McIntire, Aaron Bergdahl

“…Biotic and abiotic disturbances modify tree structure and degrade stand health. Accurate geospatial data on stand structure is important for monitoring tree growth, forest health, progression and severity of diseases and pests, and estimating resilience to climate stress. …”
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The Information-Structural Status of Adjuncts: A Question-under-Discussion-Based Approach by Lisa Brunetti, Kordula De Kuthy, Arndt Riester

“…In this paper we present an analysis of the information structural properties of different types of verb and sentence modifying adjuncts under a QUD (question under discussion) approach. …”
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A continuous multi-night sleep database for exploring sleep structure similarity by Shaofei Ying, Junze Fu, Lin Wang, Haokai Zhang, Yue Yu, Hongqiong Wang, Jiaxin Xie, Tiejun Liu

“…Abstract The sleep structure of healthy adults varies across continuous nights but exhibits periodicity and regularity. …”
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A comprehensive dataset of therapeutic peptides on multi-function property and structure information by Baichuan Xiao, Yixiang Zhou, Long Zhao, Haodong Huang, Xuwen Fei, Yong-Biao Zhang

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Total and Structural Carotid Artery Stiffness Are Associated With Cognitive Decline and Structural Brain Abnormalities Related to Alzheimer Disease and Alzheimer Disease‐Related De... by Jeremy R. Williams, Theodore M. DeConne, Ryan Pewowaruk, Claudia Korcarz, Jordan Tanley, Cynthia Carlsson, Susan R. Heckbert, Mohamad Habes, Ilya Nasrallah, Samuel N. Lockhart, José A. Luchsinger, Jingzhong Ding, Kathleen M. Hayden, Timothy M. Hughes, Adam D. Gepner

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The use of space geophysics data to establish a subsurface structural frameworks map on East Uweinat ring complexes province, Southwestern Desert, Egypt by Yaseen AAMER, Ashraf GHONEIMI, Salah HANAFY, Mohamed H. M. YOUSEF, Sara ZAMZAM

“…A qualitative and quantitative interpretation is used to highlight the subsurface geological picture and structure framework. The integration of these data helps to understand the subsurface structural framework and provide insights into the geological evolution of the region. …”
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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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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

“…To address the issue of insufficient prediction accuracy in traditional GM(1,1) models caused by significant nonlinear fluctuations in time-series data for ancient building structural health monitoring, this study proposes a wavelet decomposition-based GM(1,1)-BP neural network coupled prediction model. …”
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Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data by Ramon S. Y. R. C. Silva, Erwin U. L. Palechor, Luciano M. Bezerra, Marcus V. G. de Morais, Welington V. da Silva

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Sociological Analysis of Divorce in Kurdistan Province: Secondary Analysis of Available Data: from 2006 to 2016) by Yaghou Ahmadi, Mehdi Ghaderi

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Damage detection in a reinforced concrete bridge applying wavelet transform in experimental and numerical data by ramon saleno yure rubim costa silva, Erwin U. L. Palechor, Luciano M. Bezerra, Marcus V. G. de Morais, Welington V. da Silva

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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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High-Temperature X-Ray Crystal Structure Analysis of Schiff Base Cu(II) and Ni(II) Complexes and Data Statistics by Anna Okui, Rin Tsuchiya, Daisuke Nakane, Takashiro Akitsu, Toby J. Blundell

“…In this study, single crystals of previously reported Schiff base copper (II) (<b>Cu</b>) and nickel (II) (<b>Ni</b>) complexes were synthesized; a structural analysis was performed using data measured at high temperatures, 298 K and 410 K; and CIF and electron density maps were obtained. …”
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Geological structure and reservoir productivity of Pre-Jurassic basement rocks of the Sredne-Nazymskoye oil field (Western Siberia): new data by V. D. Shmakov, N. R. Kaskov, A. A. Bakulin, A. P. Shorokhova

“…The article deals with the development of technology for prospecting and exploration of hydrocarbon deposits in the Pre-Jurassic basement rocks of Western Siberian oil and gas province, as well as approaches to improving the reliability of mapping prospective zones using seismic data. Using the example of the Sredne-Nazymskoye field, the seismogeological aspects of the forecast of oil and gas potential of the Pre-Jurassic complex and the main directions for reducing the uncertainties of the geological structure are shown.…”
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Structure and Monitoring in the Seismic Activation Zone of the Gorlovskaya Depression of the Altai-Sayan Folded Region According to Electrical Resistivity Tomography Data by Nevedrova Nina, Shalaginov Aleksandr Evgen'evich, Shaparenko Il'ya Olegovich, Sanchaa Aydisa, Marinenko Arkadiy Vadimovich

“…The article considers the geoelectric structure of the Gorlovka depression in the area of the transition from its deposits to the Salair ridge, and also analyzes the results of monitoring carried out in 2023 by the electrical resistivity tomography method along a profile intersecting one of the fault structures. …”
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Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation by J. Fullea, S. Lebedev, M. R. Agius, A. G. Jones, J. C. Afonso

“…Here, we test an integrated geophysical‐petrological inversion of Rayleigh‐ and Love‐wave phase‐velocity curves for fine‐scale lithospheric structure. The main parameters of the grid‐search inversion are the lithospheric and crustal thicknesses, mantle composition, and bulk density and seismic velocities within the crust. …”
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Three‐dimensional density structure of La Soufrière de Guadeloupe lava dome from simultaneous muon radiographies and gravity data by M. Rosas‐Carbajal, Kevin Jourde, Jacques Marteau, Sébastien Deroussi, Jean‐Christophe Komorowski, Dominique Gibert

“…Here we jointly invert muon data from three simultaneous telescope acquisitions together with gravity data to estimate the three‐dimensional density structure of the La Soufrière de Guadeloupe lava dome. …”
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