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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Enhancing the assessment of in situ beam–column strength through probing and machine learning by Jin Terng Ma, Luke Lapira, M. Ahmer Wadee

“…Therefore, when assessing the structural health of an in situ beam–column, both of these load effects must be considered. …”
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Empirically derived crop coefficient values for tomatoes grown in protected structures under climatic condition of Jalandhar, Punjab by VIKAS SHARMA, NITIN M. CHANGADE

“…However, these values may not fully account for the unique microclimatic variations within protected structures, creating a need for adjusted Kc values. …”
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Mapping Urban Tree Species by Integrating Canopy Height Model with Multi-Temporal Sentinel-2 Data by Yang Yao, Xiaoke Wang, Haiming Qin, Weimin Wang, Weiqi Zhou

“…We compared different models with different combinations of features, with or without the inclusion of CHM data. (3) Results: This study found that integrating VIF-screened seasonal Sentinel-2 spectral data with vegetation indices and structural metrics (Cop_DEM and ZY3_Cop_CHM) yielded an overall accuracy of 89.2%. …”
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The future of digitalized project practices through data-savvy talent: A digital competence formation perspective by Yan Liu, Ningshuang Zeng, Eleni Papadonikolaki, Kirk Maritshane, Paul W. Chan

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STRUCTURAL METAPHOR OF LOVE IN ENGLISH SONGS IN THE LATE 20TH CENTURY FROM STYLISTIC AND COGNITIVE PERSPECTIVES by Nguyen Thi Hong Thu

“…In this paper, the metaphorical images in the songs were classified into three different kinds, namely structural metaphors, ontological metaphor, and orientational metaphors, of which the number of structural one ranks the first. …”
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Stiffeners (Khashkhāshi) in the Design of Iranian Detached Double-Shell Onion Domes: Rethinking the Definition based on the Study of Structural Form by Hadi Safaeipour

“…One of the most innovative structural technologies in Iranian Islamic architecture is the detached double-shell onion dome consisting of the outer shell, inner shell, drum, and usually stiffeners. …”
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Structural Controls on Cu Metallogenesis in the Dehaj Area, Kerman Porphyry Copper Belt, Iran: A Remote Sensing Perspective by G. Mirzababaei, J. Shahabpour, A. Zarasvandi, S. M. Hayatolgheyb

“…Structural analysis of remotely sensed data provides a method of assessing the structural significance of regional metallogenesis in the Dehaj area as the northwestern part of the Kerman porphyry Cu belt. …”
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opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization by Yexiang Yan, Yazhou Xie

“…This paper presents opstool, a Python package designed to enhance the pre- and post-processing capabilities of OpenSees and OpenSeesPy. It simplifies structural analysis workflows by automating tasks such as mesh generation, data management, and data visualization. …”
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A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings by Peter Klanatsky, François Veynandt, Christian Heschl

Subjects: “…Optimization problem formulation with Mixed-Integer Linear Programming for Data-driven Model Predictive Control of buildings with Thermally Activated Building Structures and shading system…”
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The problem of analysis of big web data and the use of data mining technology for processing and searching patterns in big web data on a practical example by K. V. Mulyukova, V. M. Kureichik

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The Discovery of Buried Archaeological Structures at Saepinum and the Villa of Neratii (Valley of Tammaro River, Italy) Through Data-Adaptive Probability-Based Electrical Resistivity Tomography Using the Tensorial Acquisition Mode by Andrea Capozzi, Marilena Cozzolino, Federica Fasano, Vincenzo Gentile, Paolo Mauriello

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Integration of airborne gamma-ray spectrometry and remote sensing data for mapping of gold-bearing structures in the Doropo region, Northeastern Côte d’Ivoire (Southern part of West African Craton) by Ziandjêdé Hervé Siagné, Alain Nicaise Kouamelan, Wilfried Digbeu, Tahar Aïfa, N’Guessan Nestor Houssou, Koffi Alexis N’dri, Ouattara Gbele

“…Furthermore, the Landsat 8 OLI data processing highlighted mainly structural trends oriented NW-SE, NE-SW and E-W, which were recognised in the field as fractures, shear zones and faults. …”
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Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores by Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo

“…The present study focuses on the design and implementation of graph storage layout, with a particular emphasis on tree-structured key-value stores. We also examine different design choices in the graph storage layer and present our findings through the development of TuGraph, a highly efficient single-machine graph database that significantly outperforms well-known Graph DataBase Management System (GDBMS). …”
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Geological structure and occurrence conditions of the Bazhenov formation within THE South Tambey gas condensate field by A. A. Rasskazov, G. N. Potemkin

“…Determination of the structural features and occurrence conditions of the Bazhenov formation.Materials and methods. …”
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Dynamic coupling of economic and energy structures in resource-based regions: a case study of Shanxi Province, China by Ende Hu, Zeyuan Shen, Xianghua Wang

“…Drawing on data from Shanxi Province spanning 2010 to 2022, this study constructs comprehensive indicator systems for both economic and energy structures. …”
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Correlating pore space morphology with numerically computed soil gas diffusion for structured loam and sand, including stochastic 3D microstructure modeling by Benedikt Prifling, Matthias Weber, Maximilian Rötzer, Nadja Ray, Alexander Prechtel, Maxime Phalempin, Steffen Schlüter, Doris Vetterlein, Volker Schmidt

Subjects: “…Structure–property relationship…”
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Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application by Ahmed Al-Azawei, Ali Alowayr

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Agriculture technology providers' perspectives of data rights and obligations in agriculture reflected by farm data value chain by Ziwen Yu, Ethan Hou, Jean Pompeo, Ray Huffaker, Mo Wang, Yabing Zhao

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Guiding incumbent companies in navigating digital transformations: A qualitative study on structural ambidexterity and strategic leadership by Sabrina Hoessler, Claus-Christian Carbon

“…PURPOSE: Despite digital transformation being a focus topic for incumbent companies, organizational structures are a significant barrier to their success. …”
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