Two new species of the congrid eel genus Bathycongrus are described from the deep waters of eastern Taiwan. Bathycongrus albimarginatus sp. nov., which belongs to the species group with two enlarged teeth on the vomer and more total vertebrae, is described from 16 specimens and can be distinguished by vertical fins with broad white margins, more pores on head and predorsal lateral line, total vertebrae 195-201. Bathycongrus brunneus sp. nov., which has no enlarged teeth on the vomer, is described from one specimen and can be distinguished by 12 subequal teeth on the vomer and 174+ total vertebrae.

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Circuits designed in aggressively scaled technologies face both stringent power constraints and increased process variability. Achieving high parametric yield is a key design objective, but is complicated by the correlation between power and performance. This paper proposes a novel design time body bias selection framework for parametric yield optimization while reducing testing costs. The framework considers both inter-and intra-die variations as well as power-performance correlations. This approach uses a feature extraction technique to explore the underlying similarity between the gates for effective clustering. Once the gates are clustered, a Gaussian quadrature based model is applied for fast yield analysis and optimization. This work also introduces an incremental method for statistical power computation to further reduce the optimization complexity. The proposed framework improves parametric yield from 39% to 80% on average for 11 benchmark circuits while runtime is linear with circuit size and on the order of minutes for designs with up to 15K gates.