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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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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Post-Earthquake Fire Resistance in Structures: A Review of Current Research and Future Directions by Shahin Dashti, Barlas Ozden Caglayan, Negar Dashti

“…Key findings of current studies reveal that seismic damage, including spalling, cracking, and loss of fireproofing, substantially reduces the fire resistance of materials like steel and reinforced concrete, exacerbating structural vulnerabilities. Despite advancements, critical gaps persist in experimental data, probabilistic modeling, and comprehensive performance-based design guidelines for PEF scenarios. …”
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Shell Model Reconstruction of Thin-Walled Structures from Point Clouds for Finite Element Modelling of Existing Steel Bridges by Tomoya Nakamizo, Mayuko Nishio

“…There are some studies that show finite element (FE) models from point cloud data. While most of those approaches focus on modelling by solid elements, modelling of some civil structures, such as bridges, requires various uses of beam and shell elements. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…ObjectiveStructural parameter identification based on swarm intelligent optimization methods has become one of the popular methods for finite element model modification. …”
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Family structure factors influencing modern contraceptive use in Cameroon based on analysis of 2018–2019 demographic and health survey data by Samira Amadou, Myungken Lee, Jakyoung Lee, Sangyune Kim, Sunjoo Kang

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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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A Data-Driven Analysis of Electric Vehicle Adoption Barriers in the Philippines: Combining SEM and ANNs by Charmine Sheena R. Saflor, Klint Allen Mariñas, Ma. Janice Gumasing, Jazmin Tangsoc

“…This study investigates the factors influencing the adoption of electric vehicles in the Philippines, focusing on key barriers through an integrated approach using machine learning and structural equation modeling (SEM). Specifically, artificial neural networks (ANNs) and SEM are employed to analyze data from online surveys and the existing literature, identifying the critical obstacles that impact consumer acceptance. …”
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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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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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A Bibliometric Analysis of International Structural Engineering Standards Using VOS Viewer by Andri Irfan Rifai, Darius Angtony, Ade Jaya Saputra, Joewono Prasetijo

“…The outcome indicates that “standards” and “structure” are still trending topics in global discourse. …”
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FDI and Trade Connectivity in EU: New Evidence from a Non-Linear Panel Smooth Transition VECM by Pavlos Stamatiou, Nikolaos Dritsakis

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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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СТРУКТУРНЫЕ ДИСПРОПОРЦИИ КАК УГРОЗА ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ РОССИИ by N. V. Osokina, E. V. Slesarenko

“…Results: basing on the analysis of scientific economic literature and statistical data, the historical background is revealed of the emergence of structural disproportions in the Russian economy, the origins of which had been laid long before the formation of the USSR and tended to strengthen during the Soviet period, and later during the period of transformation processes that swept the country at the turn of XX-XXI centuries; the influence of structural disproportions on the security of the Russian economy was described, which can be interpreted as a threat, characterized by a complete de-industrialization of the economy, reduction of innovation development, degradation of economic base and scientific potential, increasing dependence on vital consumer and industrial goods; there is a need to change the vector of socio-economic development of Russia and form a new model of structural modernization. …”
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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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