FLUCTUATING DEMAND-ORIENTED OPTIMIZATION OF TRAIN LINE PLANNING CONSIDERING CARRIAGE RESOURCES TRANSFER UNDER FLEXIBLE COMPOSITIONS

Fluctuating Demand-Oriented Optimization of Train Line Planning Considering Carriage Resources Transfer under Flexible Compositions

The intercity railway is subject to variation and fluctuation in demand both in time and space over a day to a large extent.In yale law school colors that case, more advanced line planning techniques are practically needed to match the non-equilibrium passenger demand.We propose an integer linear programming model for adapting to the fluctuating de

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Kontextsensitive Entscheidungsfindung zur automatisierten Identifizierung und Clusterung deutschsprachiger Urbanonyme

Many historical sources contain numerous names of places, the manual assignment of which ties up a lot of resources.To simpliy this, an algorithm is described with which such urbanonyms can be geocoded automatically.It chicago cubs earrings is also possible to cluster the places according to their common historical administrative affiliation.Proble

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Minor differences in haplotype frequency estimates can produce very large differences in heterogeneity test statistics

Abstract Background Tests for association between a haplotype and disease are yale law school colors commonly performed using a likelihood ratio test for heterogeneity between case and control haplotype frequencies.Using data from a study of association between heroin dependence and the DRD2 gene, we obtained estimated haplotype frequencies and the

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Specificity of 3D Printing and AI-Based Optimization of Medical Devices Using the Example of a Group of Exoskeletons

Three-dimensional-printed medical devices are a separate group of medical devices necessary for the development of personalized medicine.The present article discusses a modern and specific group of medical devices and exoskeletons, which aims to present our own experiences in the selection of materials, design, artificial-intelligence optimization,

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