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The Crankshaft Full-automatic Measuring Machine (CFMM) features high accuracy, high efficiency and complete measurement parameters, and represents the forefront of a geometric crankshaft accuracy measuring instrument. One of its core technologies is the high-precision radial following the crankshaft connecting rod journal measurement. In this paper, an independent probe design scheme combining the flexible dual-complex parallel four-bar guide mechanism and double displacement sensors based on the contact measurement method was proposed. It was suitable for the measurement of precision parts with eccentric characteristics such as crankshaft and camshaft measurement. Taking the spring as the flexible part, the probe prototype's optimization design, processing and assembly were completed, the test device was built, and the system accuracy was calibrated under various positions and feed quantities of the probe. The results revealed that the expanded measurement uncertainty after double-sensor compensation was enhanced from 1.53 μm in single-sensor measurement to 0.44 μm, satisfying the high-precision requirements of engineering measurement accuracy and reducing the measurement cost. [ABSTRACT FROM AUTHOR]

Antrodia camphorata (A. camphorata) is an edible fungus containing various bioactive compounds generally used for health benefits. This study aimed to explore the potential neuroprotective activities of solid‐state‐cultured mycelium of A. camphorata (SCMAC) against Parkinson's disease (PD), as well as the underlying mechanism using an in vitro 6‐hydroxydopamine (6‐OHDA)‐induced PC12 cell model. The results showed that SCMAC extracts alleviated cell toxicity induced by 6‐OHDA and the loss of dopaminergic neurons, which was confirmed by the increase of cell viabilities, inhibition of cell apoptosis, the upregulation of tyrosine hydroxylase (TH) and dopamine transporter (DAT) levels and the downregulation of α‐Synuclein level. After purification, 11 compounds were identified by the NMR technique, including a quinone, four phenolic acid derivatives, three ubiquinone derivatives, two alkaloids, and a triterpenoid. The present study suggests that SCMAC could be an attractive candidate for the prevention or treatment of PD. Practical applications: Parkinson's disease seriously affects the lifetime and quality of the elder population for a long history. Long‐term consumption of L‐DOPA will result in side effects, such as developing abnormal involuntary movements called dyskinesia. This study showed that natural SCMAC extracts could be a potential therapeutic agent for the treatment of neurodegenerative disorder. [ABSTRACT FROM AUTHOR]

To improve the coding performance of depth maps, 3D-HEVC includes several new depth intra coding tools at the expense of increased complexity due to a flexible quadtree Coding Unit/Prediction Unit (CU/PU) partitioning structure and a huge number of intra mode candidates. Compared to natural images, depth maps contain large plain regions surrounded by sharp edges at the object boundaries. Our observation finds that the features proposed in the literature either speed up the CU/PU size decision or intra mode decision and they are also difficult to make proper predictions for CUs/PUs with the multi-directional edges in depth maps. In this work, we reveal that the CUs with multi-directional edges are highly correlated with the distribution of corner points (CPs) in the depth map. CP is proposed as a good feature that can guide to split the CUs with multi-directional edges into smaller units until only single directional edge remains. This smaller unit can then be well predicted by the conventional intra mode. Besides, a fast intra mode decision is also proposed for non-CP PUs, which prunes the conventional HEVC intra modes, skips the depth modeling mode decision, and early determines segment-wise depth coding. Furthermore, a two-step adaptive corner point selection technique is designed to make the proposed algorithm adaptive to frame content and quantization parameters, with the capability of providing the flexible tradeoff between the synthesized view quality and complexity. Simulation results show that the proposed algorithm can provide about 66% time reduction of the 3D-HEVC intra encoder without incurring noticeable performance degradation for synthesized views and it also outperforms the previous state-of-the-art algorithms in term of time reduction and $\Delta $ BDBR. [ABSTRACT FROM AUTHOR]