Structural modelling of subsurface geologic structures in Anambra and adjoining Bida Basins using aeromagnetic data: Implications for mineral explorations.

“…Aeromagnetic data over parts of the Northern Anambra and Southern Bida basins have been evaluated with emphasis on the subsurface geologic structures controlling mineralization and delineating the geomorphology of the basin. …”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study by Yuta Okada, Minami Ueda, Hiroshi Nishiura

“…Methods: Using COVID-19 sentinel data stratified by discrete age groups in selected prefectures and referring to universal case count data up to May 8, 2023, we fitted a statistical model to handle weekly growth rates as a function of age and time so as to convert sentinel data to case counts after cessation of universal reporting. …”
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Evaluation of structured data from electronic health records to identify clinical classification criteria attributes for systemic lupus erythematosus by Rosalind Ramsey-Goldman, Theresa L Walunas, Abel N Kho, Anika S Ghosh, Jennifer A Pacheco, Vesna Mitrovic, Andy Wu, Kathryn L Jackson, Ryan Schusler, Anh Chung, Daniel Erickson, Karen Mancera-Cuevas, Yuan Luo

“…We implemented rule-based algorithms using structured data within the EHR system for each attribute of the three classification criteria. …”
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Structure learning: some testing problems by Marijus Radavičius, Jurgita Židanavičiūtė

“… The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. …”
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On the Structure of Measurement Noise in Eye-Tracking by Charles A. Coey, Sebastian Wallot, Michael J. Richardson, Guy Van Orden

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The Role of Organisational Culture and Structure in Data-driven Green Policy and Decision-making by Laetitia Van der Merwe, Calayde Davey

Subjects: “…Organisational structure…”
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Tectonic stress in the structures of the Northern Priokhotie (Magadan region) according to geological data by M. N. Kondratyev

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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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Topographic and subterranean structural mapping utilizing aerial magnetic and remote sensing data by Suraj Kalgonda Patil, Amanulla Liyakatalli Mulla, Amitkumar Sukumar Sajane

“…These delineated FVD structures were superimposed on the Euler solution map with a structural index of one for further structural delineation. …”
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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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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

“…In the era of big data, the efficient use of idle data in reinforced concrete structures has become a key issue in optimizing seismic performance evaluation methods for building structures. …”
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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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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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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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Damage Detection of Structures Identified with Deterministic-Stochastic Models Using Seismic Data by Ming-Chih Huang, Yen-Po Wang, Ming-Lian Chang

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Augmentation method of fatigue data of welded structures based on physics-informed CTGAN by Xinyu Cao, Li Zou, Chen Lu

“…Variable amplitude loading is frequently applied to welded structures in practical engineering, and fatigue failure is a prevalent problem. …”
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Determination of filtration characteristics of concrete structures of the underground constructions on the basis of the monitoring data by E. Yu. Kulikova

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