WHEEL PLATE SHAPE OPTIMIZATION FOR HEAVY AXLE LOAD LOCOMOTIVE

Wheel Plate Shape Optimization for Heavy Axle Load Locomotive

The wheel plate shape of 35 t axle load locomotive had been optimized.The maximum equivalent stress of optimized plate is less than the old one when the locomotive passing through a turnout 2000 bmw 528i front bumper and curve and the mass of optimized wheel was Shirt also reduced.The main features of wheel plate on heavy axial load locomotive had

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BRIFT: A Binary Descriptor for Multi-Modal Image Registration

Using radiation-variation insensitivity feature transform (RIFT) to calculate feature descriptors and perform feature matching on the maximum index map (MIM) is time-consuming.To solve this problem, an algorithm named binary descriptor for RIFT (BRIFT) is proposed.First, the phase consistency of the image is calculated and the MIM is obtained.Then,

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Comparison of Accuracy Between Pulp/Tooth Ratio and Tooth Coronal Index Methods for Dental Age Estimation Using Digital Panoramic Radiographs

Objective: To evaluate the reliability and the accuracy of Tooth Coronal Index (TCI) and Pulp/Tooth Ratio (PTR) methods in dental age estimation using digital panoramic radiography.Material and Methods: In satisfyer pro penguin next generation this cross-sectional study, 237 dental panoramic images were collected.The two methods (TCI and PTR) were

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Specification and spatial arrangement of cells in the germline stem cell niche of the Drosophila ovary depend on the Maf transcription factor Traffic jam.

Germline stem cells in the Drosophila ovary are maintained by a somatic niche.The niche is structurally and functionally complex and contains four cell types, the escort, cap, and terminal filament cells and the newly identified transition cell.We find that the large Maf transcription factor Traffic jam (Tj) is essential for determining niche cell

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Trapped in the Matrix

Digital labor platforms are reshaping the work landscape in Sub-Saharan Africa, promising enhanced nightstick twm-850xl productivity and empowerment.Yet, this study reveals a more complex reality, particularly in Rwanda, South Africa, and Zimbabwe.Based on 41 in-depth interviews, it exposes how algorithmic management systems deeply erode worker aut

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