Nonparametric Expectile Shortfall Regression for Complex Functional Structure by Mohammed B. Alamari, Fatimah A. Almulhim, Zoulikha Kaid, Ali Laksaci

“…The asymptotic property of the constructed estimator is established using a functional time-series structure. We adopt some concentration inequalities to fit this complex structure and to precisely determine the convergence rate of the estimator. …”
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Topographic and subterranean structural mapping utilizing aerial magnetic and remote sensing data by Suraj Kalgonda Patil, Amanulla Liyakatalli Mulla, Amitkumar Sukumar Sajane

“…The current investigation focuses on conducting surface and subsurface structural mapping of Warana River basin’s Rafin Rewa’s warm spring area and its surroundings utilizing airborne magnetic and topographic datasets. …”
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Structural Analysis of Huaguangtan Arch Dam Based on Data Assimilation Parametric Inversion by LIN Xianzhi, LUO Zenghong, XU Zheng, MIN Jiesheng, CAO Chuanbo, ZHAO Quan

“…Aiming at the difficulty of the accurate safety assessment of the overall structural state of Huaguangtan Arch Dam,a finite element model of the arch dam is established,and the data assimilation algorithm is used to invert the material parameters based on the results of the sensitivity analysis of the mechanical parameters of the arch dam concrete and bedrock.Finally,the material parameters of finite element calculation are calibrated by parameter inversion results.The results show that the residual between the finite element displacement simulation result and the monitoring data conforms to the Gaussian distribution,and its standard deviation after data assimilation parametric inversion is reduced by 81.2%,which improves the accuracy of finite element calculation.This method enables automated operation and provides a reasonable and reliable new idea for the structural safety assessment of arch dams.…”
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Review of the technology used for structural characterization of the GMO genome using NGS data by Kahee Moon, Prakash Basnet, Taeyoung Um, Ik-Young Choi

“…According to CODEX standards, this characterization involves evaluating the presence of introduced genes, insertion sites, copy number, and nucleotide sequence structure. Advances in technology have led to the increased use of next-generation sequencing (NGS) over traditional methods such as Southern blotting. …”
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Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data by Evan Collins, Evan Collins, Evan Collins, Omar Chishti, Omar Chishti, Hari McGrath, Hari McGrath, Sami Obaid, Sami Obaid, Sami Obaid, Alex King, Alex King, Edwin Qiu, Ellie Gabriel, Xilin Shen, Jagriti Arora, Xenophon Papademetris, Xenophon Papademetris, Xenophon Papademetris, Xenophon Papademetris, R. Todd Constable, R. Todd Constable, R. Todd Constable, R. Todd Constable, Dennis D. Spencer, Hitten P. Zaveri

“…For structural data, it incorporates white matter connectomes of 1,065 subjects and cortical thickness profiles of 200 subjects both from the Human Connectome Project. …”
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Data collection and transmission strategies for structural safety monitoring of large-scale infrastructure by Feng Zhou

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Monte Carlo Evaluation of the Methods Estimating Structural Change Point in Panel Data by Selim Dağlıoğlu, Mehmet Akif Bakır

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Integrating numerical simulation and experimental data for enhanced structural health monitoring of bridges by Om Narayan Singh, Kaushik Dey

“… The research described in this paper aims to enhance the structural health monitoring (SHM) of highway bridges by integrating numerical simulations with experimental data. …”
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Structural Safety Evaluation of Tunnel Based on the Dynamic Monitoring Data during Construction by Xiaokun Yan, Hu Li, Feng Liu, Yang Liu

“…It is still a challenge to accurately evaluate the structural safety of tunnel during the process of construction. …”
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The Impact of Structural Funds on Regional Growth: A Panel Data Spatial Analysis by Micaela Antunes, Miguel Viegas, Celeste Varum, Carlos Pinho

“…However, the new economic geography states that structural funds may also facilitate the geographic concentration of economic activities, thus perpetuating regional imbalances. …”
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THE CENOZOIC CRUSTAL STRESS STATE OF MONGOLIA ACCORDING TO GEOLOGICAL AND STRUCTURAL DATA (REVIEW) by V. A. Sankov, A. V. Parfeevets

“…The studies commenced in the southern Baikal rift zone in the 1970s and were extended further southwards to cover mobile regions neighbouring the Siberian platform. Geological, structural and morphostructural data were collected and analysed to define the crustal stress types and spatial characteristics. …”
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Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance by Keith Marsolo, Lesley Curtis, Laura Qualls, Jennifer Xu, Yinghong Zhang, Thomas Phillips, C. Larry Hill, Gretchen Sanders, Judith C. Maro, Daniel Kiernan, Christine Draper, Kevin Coughlin, Sarah K. Dutcher, José J. Hernández‐Muñoz, Monique Falconer

“…Abstract Introduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues. (2) Identify issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance. …”
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AN EMPIRICAL ANALYSIS OF DETERMINANT FACTORS OF THE COMPANY’S CAPITAL STRUCTURE by I. A. Kirshin

Subjects: “…company’s capital structure…”
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Structural applications of CODE_BRIGHT: a review on numerical modelling of reinforced soil structures by Aníbal Moncada, Aníbal Moncada, Ivan P. Damians, Ivan P. Damians, Ivan P. Damians

“…The present document presents a review on the use of the finite element software package CODE_BRIGHT to simulate reinforced soil structures (RSS). RSS are composed of longitudinal steel or polymeric materials, placed orthogonal to the main stress direction in a soil mass, acting as tension-bearing elements. …”
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Mathematical methods of data processing in the formation and evaluation of sectoral structure in agricultural enterprises by T. Kalashnikova, І. Кoshkalda, O. Тrehub

“…This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. …”
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Minimal‐cost route planning via Fibonacci‐heap‐typed data structure by Wangjia Zhan, Haohao Qiu, Bo Min, Lin Lin

“…To achieve this, the reachability determination algorithm is designed to assess the courier company's reachability to all junctions based on the queue‐typed data structure and breadth‐first search idea. Subsequently, the minimal‐cost route planning algorithm is developed to find a feasible transport route with the minimal cost of clearing obstacles by resorting to the Edmonds' algorithm and some feasible data structures. …”
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Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Abstract Network anomaly detection using graph-structured data is a critical task in data mining and cybersecurity, involving the identification of unusual patterns within a network by analyzing its structure as a graph. …”
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Accounting for population structure and data quality in demographic inference with linkage disequilibrium methods by Enrique Santiago, Carlos Köpke, Armando Caballero

“…Abstract Linkage disequilibrium methods for demographic inference usually rely on panmictic population models. However, the structure of natural populations is generally complex and the quality of the genotyping data is often suboptimal. …”
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POSSIBILITIES OF THE STRUCTURE CONTROL OF THE CAST-IRON AND STEEL ARTICLES BY DATA OF ULTRASONIC MEASURING by V. R. Bajev, G. E. Konovalov, Ja. V. Artemenko, M. V. Asadchaja, K. A. Filippov, P. S. Gurchenko, M. A. Tishchenko

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Aligning EMR Structure with Treatment Cycles: Enhancing Data Management and CDSS Functionality by Ali Azadi, Francisco José García-Peñalvo

“…Electronic medical records (EMRs) are fundamental to clinical decision support systems (CDSS). Conventional EMR structures still fail to capture the cyclical nature of treatment plans, leading to fragmented data representation and reduced decision accuracy. …”
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