EMC Regulation Research Articles

EMC Regulation from Titanic to Today

EMC Regulation from Titanic to Today

Transcriptional and post-transcriptional regulation of extra macrochaetae during Drosophila adult peripheral neurogenesis

Regulation of the Drosophila ID protein Extra macrochaetae (Emc) is important because reduced Emc levels have been proposed to favor proneural gene activity and thereby define a prepattern for neurogenesis. Recent studies suggest a major role for post-translational control of Emc levels. To further define the mechanisms of Emc regulation, we identified two redundant cis-regulatory regions by germline transformation-rescue experiments that make use of new molecularly-defined emc mutants. We distinguished the mechanisms by which Daughterless (Da) regulated Emc expression, finding post-translational regulation in most tissues, and additional transcriptional regulation in the eye imaginal disc posterior to the morphogenetic furrow. Dpp and Hh signaling pathways repressed Emc transcriptionally and post-translationally within the morphogenetic furrow of the eye disc, whereas Wg signaling repressed Emc expression at the anterior margin of the wing imaginal disc. Although the emc 3′ UTR is potentially regulatory, no effect of miRNA pathways on Emc protein levels was discernible. Our work supports recent evidence that post-transcriptional mechanisms contribute more to regulation of Emc protein levels than transcriptional mechanisms do.

Identification of conducted EMI noise based on independent component analysis and signal statistics applied in underground power electronic system+

The conventional compliance test for conductive EMI noise is based on LISN which can only show the pass or failure of the total noise, but can not indicate which component (CM or DM component) is the predominant one if the test fails to meet the EMC regulation, and thus, EMI filter design is difficult due to the lack of CM or DM noise information. Though some attempts have been done for conductive EMI noise separating network research and CM or DM noise can be extracted, the network performance usually is not ideal at high frequency because of the parasitic effects and also the network is often complicated and not cheap in implementation. This paper presents a novel identification method of conducted EMI noise using independent component analysis (ICA) and signal statistics for underground power electronic systems. This Research shows that with this signal process technique, the identification of EMI noise is not only robust, but also simple and economic in implementation.

The Trend of the EMC Regulation and the Standard on Medical Devices

The Trend of the EMC Regulation and the Standard on Medical Devices