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Data Anonymization for Privacy Preservation in Big Data
Cinzun Basheer, C Tritpi
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Comparison of Normothermic and Subnormothermic Machine Perfusion of Porcine Kidneys Using a Novel Fully Synthetic Perfusion Solution: A Proof-of-Concept Study. [PDF]
Krüger HK +11 more
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Assessing imputation techniques for missing data in small and multicollinear datasets: insights from craniofacial morphometry. [PDF]
Abdullah NA +3 more
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Analysis of factors influencing postoperative refractive status in patients with high myopia undergoing combined surgery for vitreous opacity and cataract. [PDF]
Wu Y +5 more
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Data management and preservation using PURE and Archivematica at Strathclyde
Alan Morrisson
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Shape-Preserving Approximation of Spatial Data
Advances in Computational Mathematics, 2004The authors combine the approach of \textit{P. Costantini} and \textit{F. Pelosi} [Numer. Algorithms 27, 237--264 (2001; Zbl 1079.65018)] with the results of \textit{P. Costantini} and \textit{C. Manni} [Adv. Comput. Math. 18, No. 1, 41--63 (2003; Zbl 1018.65017)] and obtain \(C^3\) shape-preserving splines, approximating an ordered set of spatial data.
Costantini, Paolo, Pelosi, Francesca
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