Phylodynamic inference for structured epidemiological models. by David A Rasmussen, Erik M Volz, Katia Koelle

“…However, fitting epidemiological models to genealogies via coalescent models remains a challenging task, because pathogen populations often exhibit complex, nonlinear dynamics and are structured by multiple factors. Moreover, it often becomes necessary to consider stochastic variation in population dynamics when fitting such complex models to real data. …”
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Phase tomography with axial structured illumination by Nishant Goyal, Kedar Khare

“…The present work examines the possibility of HT reconstruction through the use of on-axis structured illumination(s) that are nominally incident on the 3D sample only along the direction of the optical axis of the system. …”
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DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA by Hanifa Sepriadi, Atiek Iriany, Solimun Solimun, Adji Achmad Rinaldo Fernandes

“…This data is heterogeneous. When SEM is applied to heterogeneous data, there will be a risk of bias in estimating equations in the measurement and structural models because there are differences between groups in the data. …”
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An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

Subjects: “…Data transformation, NoSQL, R programming, Structured query language.…”
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Correlation Analysis of External Environment Risk Factors for High-Speed Railway Derailment Based on Unstructured Data by Haixing Wang, Yuanlanduo Tian, Hong Yin

“…Unsafe events have been described in unstructured natural language, which often has inconsistent structure and complex sources, involving multiple railway specialties, with multisource, heterogeneous, and unstructured characteristics. …”
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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

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Structure and Key Technologies of Big Data Labeling System for Power Equipment Operation Status by Wenjun LIU, Ming DONG, Yuanfu XU, Qiang HAN, Xin WANG, Lei XU, Ming DU

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Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages by Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…Here, we showcase a successful example of a data pipeline to efficiently move patient data to the cloud environment for structured storage. …”
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Hands-On Data Gathering by Claudia Mejía de la Pava, Silvia Manessi

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Structural investigations of Yuli Geothermal field in Nigeria using gravity and magnetic data-set by Mukaila Abdullahi, Yusufu Abubakar Sanusi, Ibrahim Nihyel Tashiwa

Subjects: “…Aeromagnetic data…”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

Subjects: “…structural health monitoring…”
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Quantifying Tree Structural Change in an African Savanna by Utilizing Multi-Temporal TLS Data by Tasiyiwa Priscilla Muumbe, Jussi Baade, Pasi Raumonen, Corli Coetsee, Jenia Singh, Christiane Schmullius

“…Structural changes in savanna trees vary spatially and temporally because of both biotic and abiotic drivers, as well as the complex interactions between them. …”
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Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory by Chang-Sheng Xiang, Hai-Long Liu, Yu Zhou, Chen-Yu Liu, Li-Xian Wang

“…The first three order modes data of each index are fused in the first level, and their results are further fused between indexes in the second level, which will be applied for damage position judgement; moreover, results of the second level as input are last fused in the third level in order to predict structural damage degree. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. …”
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Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome. by Sean M Cascarina, Mikaela R Elder, Eric D Ross

“…A variety of studies have suggested that low-complexity domains (LCDs) tend to be intrinsically disordered and are relatively rare within structured proteins in the Protein Data Bank (PDB). …”
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Guided Regularizers for Structured Reduction of Neural Networks by Ali Haisam Muhammad Rafid, Adrian Sandu

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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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Recent advances in structural health diagnosis: a machine learning perspective by Yuequan Bao, Huabin Sun, Yang Xu, Xiaoshu Guan, Qiuyue Pan, Dawei Liu

Subjects: “…Structural health diagnosis…”
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Structure and nodal points of Smart City infrastructure by Magdalena Grochulska-Salak, Tomasz Wężyk

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