Möbius syndrome is a rare congenital disorder characterized by congenital facial weakness with impairment of ocular abduction. It is considered as a rhombencephalic disorder, and is often accompanied with hypoplasia of the pons and cerebellum. Here we report a male infant who had congenital facial asymmetry with absence of right-sided expression. Evident developmental delay was also found. The bilateral auditory brain stem response showed no response at 85dB. A reconstructive brain magnetic resonance imaging (MRI) revealed the absence of the right facial nerve as well as hypoplasia of the pons and cerebellum of the same side. Some voluntary contraction over the patient's right lower face was noted after facial muscle electrical stimulation.

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Context-based adaptive variable length coding (CAVLC) is a new and efficient entropy coding tool in H.264/AVC (advanced video coding). This study proposes a low-power and cost-effective CAVLC decoding architecture for the H.264/ AVC baseline profile. Specifically, this study proposes an optimum two-layer power model for the variable length look-up table (VLUT) in the CAVLC decoder, and divides the decoding phase of the LUT into two-layer decoding to reduce power consumption. To achieve a cost-effective design, the proposed design merges common codewords to reduce the hardware cost among different LUTs in the second layer decoding. The proposed decoder is based on Taiwan Semiconductor Manufacturing Company (TSMC) 0.18 mm CMOS technology, and was completely verified on a field-programmable gate array (FPGA) emulation platform. The proposed design meets the demands of the real-time CAVLC decoding and reduces power consumption by 44–48% more than previous low-power CAVLD schemes. Finally, the proposed low-power and costeffective CAVLD design is suitable for H.264/AVC portable applications