Real-time data in cancer registries: Validation of an automated data extraction system by Sylvie A.M. Langhout, Sjoerd J.F. Hermans, Anna J.T. Smit, Elizabeth Berkx, Sophie A. Kurk, Keetje J. Schade, Eduardus F.M. Posthuma, Otto Visser, Jan J. Cornelissen, Peter C. Huijgens, Jurjen Versluis, Maarten van der Wilt, Avinash G. Dinmohamed

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BACKGROUND OF THE ANATOMY OF PERITONEAL CARCINOMATOSIS. ANALYSIS OF LITERATURE AND SHAREHOLDERS DATA by R. Sh. Ishmuratova, Sh. R. Kzyrgalin, K. Sh. Gantsev, R. S. Minigazimov, S. V. Solomenny, L. V. Khalikova

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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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The Data-Driven Performance Prediction of Lattice Structures: The State-of-the-Art in Properties, Future Trends, and Challenges by Siyuan Yang, Ning Dai, Qianfeng Cao

Subjects: “…lattice structure…”
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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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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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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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Information Structure Representation And Extraction From A Corpus Of Patient Data, Using An Ontology by Christian Cote

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On calculating structural similarity metrics in population-based structural health monitoring by Daniel S. Brennan, Timothy J. Rogers, Elizabeth J. Cross, Keith Worden

“…PBSHM does this by using data across an entire population, in order to improve diagnostics for a single data-poor structure. …”
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Enceladus's internal ocean and ice shell constrained from Cassini gravity, shape, and libration data by Ondřej Čadek, Gabriel Tobie, Tim Van Hoolst, Marion Massé, Gaël Choblet, Axel Lefèvre, Giuseppe Mitri, Rose‐Marie Baland, Marie Běhounková, Olivier Bourgeois, Anthony Trinh

“…Here we develop an interior structure model consisting of a rocky core, an internal ocean, and an ice shell, which satisfies simultaneously the gravity, shape, and libration data. …”
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An Improved Man-Made Structure Detection Method for Multi-aspect Polarimetric SAR Data by Fabin Dong, Qiang Yin, Wen Hong

“…The comprehensive multiaspect scattering characteristics are valuable for man-made structure detection and classification. Typically, the anisotropic scattering of targets could be characterized by the differences in the statistical properties of polarimetric data across aspects. …”
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A new algorithm by embedding structured data for low-rank tensor ring completion by Ruiping Wen, Tingyan Liu, Yalei Pei

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The Effect of Row Structure on Soil Moisture Retrieval Accuracy from Passive Microwave Data by Zheng Xingming, Zhao Kai, Li Yangyang, Ren Jianhua, Ding Yanling

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STUDY OF THE PECULIARITIES OF THE STRUCTURE OF THE NASOLACRIMAL DUCT ORIFICE ACCORDING TO THE DATA OF MULTISLICE COMPUTED TOMOGRAPHY by E. L. At’kova, V. D. Yartsev, N. N. Krakhovetskiy, L. V. Reznikova, A. O. Root

“…To develop a method for investigating the perculiarities of the structure of the nasolacrimal duct orifice according to the data of multislice computed tomography (MSCT).Material and methods. …”
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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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