AGRICULTURAL ENTERPRISES IN BULGARIA: STRUCTURAL FEATURES AND DEVELOPMENT by T. Atanassova-Kalaydzhievа

“…The sources of information used in the analysis include data from national statistics, agrarian reports from the Ministry of Healthcare and Food, literature by other authors, as well as our own research. …”
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Structural shifts in the Baltic States’ foreign trade by Vladimir G. Varnavskii

“…Employing methods of statistical and structural analysis and Trade Intensity Index (TII) calculations, the article investigates two hypotheses. …”
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Investments in Economic Growth and Structural Transformation of Russia by O. S. Sukharev

“…The methodology of the study is the theory of economic growth and structural dynamics, empirical and regression analysis of data, ideas about the investment process and measures to stimulate it, a method for assessing the risk by the standard deviation of gross profit. …”
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Structural Analysis of the AlkB Family in Poultry by Yuling Niu, Kan Li, Xuerong You, Yutao Wu, Xue Du, Ayong Zhao, Zhijun Wang

“…MEGA 11.0 was used for phylogenetic analysis, PHYRE2 and I-TASSER predicted protein structures, and the String database was used to construct an interoperability network. …”
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Effect of pregnancy on bioprosthetic structural valve degeneration by Joshua J. Price, Kalani Ruiz, Jaewon Lim, Yuli Kim, Jonathan Buber

“…Background: Despite increasing frequency of pregnancies among patients with cardiac conditions, including the presence of prosthetic heart valves, data on the effects of physiological changes during pregnancy on the function of bioprosthetic valves remains scarce and shows conflicting results. …”
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Small but mighty: the power of microcrystals in structural biology by Courtney J. Tremlett, Jack Stubbs, William S. Stuart, Patrick D. Shaw Stewart, Jonathan West, Allen M. Orville, Ivo Tews, Nicholas J. Harmer

“…Advancements in macromolecular crystallography, driven by improved sources and cryocooling techniques, have enabled the use of increasingly smaller crystals for structure determination, with microfocus beamlines now widely accessible. …”
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Structural mechanisms of formation of adiabatic shear bands by Mikhail Sokovikov, Dmitry Bilalov, Vladimir Oborin, Vasiliy Chudinov, Sergey Uvarov, Yuriy Bayandin, Oleg Naimark

“…The subsequent processing of 3D deformation relief data enabled estimation of the distribution of plastic strain gradients at different time of plug formation and ejection. …”
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Corticolimbic Structural Deficits in Violent Patients with Schizophrenia by Maria Athanassiou, Alexandre Dumais, Inès Zouaoui, Alexandra Fortier, Luigi de Benedictis, Olivier Lipp, Andràs Tikàsz, Stéphane Potvin

“…<b>Results</b>: The data revealed significant reductions in GMV in the right amygdala and diminished cortical thickness (CT) in the bilateral dorsolateral prefrontal cortices (dlPFC) in patients with Sch+V compared to patients with Sch-V and HCs. …”
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Structural Changes in the Dynamics of China’s Exports and Imports by V. V. Narbut, T. I. Chinaeva, E. I. Larionova

“…During the work, dynamic, structural analysis of analytical and statistical information was used; methods of analytical, logical, systemic, correlation and regression analysis were used, as well as analysis of structural changes. …”
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Morphological similarity and white matter structural mapping of new daily persistent headache: a structural connectivity and tract-specific study by Di Zhang, Fangrong Zong, Yanliang Mei, Kun Zhao, Dong Qiu, Zhonghua Xiong, Xiaoshuang Li, Hefei Tang, Peng Zhang, Mantian Zhang, Yaqing Zhang, Xueying Yu, Zhe Wang, Yong Liu, Binbin Sui, Yonggang Wang

“…The objective of this work is to explore the fiber tracts and structural connectivity, which can help reveal unique gray and white matter structural abnormalities in NDPH. …”
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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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The effect of foreign direct investment on structural transformation in developing countries by Ezo Emako, Seid Nuru, Mesfin Menza

“…This paper investigates the effects of foreign direct investment (FDI) on structural transformation using panel data from 44 developing countries and four newly industrialized countries from 1990 to 2018 by employing the generalized method of moment approach of Arellano-Bond (1991). …”
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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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Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures by Yu Qiao, Marius Grad, Aida Nonn

“…Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. …”
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AI-based nanotoxicity data extraction and prediction of nanotoxicity by Eunyong Ha, Seung Min Ha, Zayakhuu Gerelkhuu, Hyun-Yi Kim, Tae Hyun Yoon

“…Artificial intelligence (AI)-based data extraction techniques hold significant potential for extracting and organizing information from unstructured text. …”
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Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

“…On this basis, the Box-Behnken design is used to construct a four-factor and three-level experimental scheme, and a second-order response surface agent model is established by 25 sets of simulation data, with the dual optimization objectives of minimizing the equivalent force and maximizing the contact pressure, and the relationship between the structural parameters and the equivalent force and the contact pressure as the optimization function, and the range of geometrical parameters as the boundary conditions. …”
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Electron microscopy data on irradiation effects in glassy carbon, nuclear graphite, pyrolytic carbon, and carbon fibersMendeley Data by J. David Arregui-Mena, Takaaki Koyanagi, David A. Cullen, Michael J. Zachman, Yan-Ru Lin, Kyle Everett, Sabrina Gonzalez-Calzada, Phillip D. Edmondson, Tyler J. Gerczak, Yutai Katoh, Nidia C. Gallego

“…For comparison, additional data are provided for pyrolytic graphite and carbon fibers, materials that exhibit similar structural behavior under irradiation. …”
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The financial and market impact of big data analytics and big data talent analytics capability: a knowledge management perspective by Fouzia Atlas, Yuan Yitong, Kashif Ullah Khan

“…Structural Equation Modeling (SEM) was employed using AMOS and SPSS for data analysis. …”
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TIGPR: A multi-view ground penetrating radar detection data for damage assessment of transportation infrastructure(Mendeley Data). by Zhen Liu, Bingyan Cui, Xingyu Gu

“…It captures various structural damages, such as cracks, interlayer debonding, looseness, and voids, providing valuable data for infrastructure condition monitoring. …”
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Toward Standardised Construction Pipeline Data: Conceptual Minimum Dataset Framework by Elrasheid Elkhidir, James Olabode Bamidele Rotimi, Tirth Patel, Taofeeq D. Moshood, Suzanne Wilkinson

“…These challenges are compounded by disparate data structures, inconsistent reporting formats, and semantic discrepancies across sources, undermining cross-agency coordination and long-term infrastructure governance. …”
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