Abstract: The present disclosure relates to methods of developing terpene synthase variants through engineered host cells. Particularly, the disclosure provides methods of developing terpene synthase variants with improved in vivo performance that are useful in the commercial production of terpene products. Further encompassed in the present disclosure are superior terpene synthase variants and host cells comprising such terpene synthase variants.

Abstract: The present disclosure relates to the amplification of target nucleic acid sequences for various sequencing and/or identification techniques. The use of these primers, as described herein, allows for the reduction in the amplification of nonspecific hybridization events (such as primer dimerization) while allowing for the amplification of the target nucleic acid sequences.

Abstract: The present disclosure relates to methods of developing terpene synthase variants through engineered host cells. Particularly, the disclosure provides methods of developing terpene synthase variants with improved in vivo performance that are useful in the commercial production of terpene products. Further encompassed in the present disclosure are superior terpene synthase variants and host cells comprising such terpene synthase variants.

Abstract: Hierarchical modulation preferably uses a 16-ary quadrature amplitude modulation (QAM) modulator with a convolutional encoder that combine to effectively provide unequal protection to two different segments of streaming input data, with improved power efficiency with the same bandwidth efficiency, by encoding the first segment as coded data as LSBs as the second segment remains uncoded as uncoded MSBs, with the MSBs used for QAM constellation modest reliability interquadrant demodulation and detection, and with the LSBs used for low reliability intraquadrant detection, but with the LSBs subject to convolutional encoding and decoding rendering the LSBs with high reliability detection, such that, the two segments have unequal coding and modulation for providing unequal levels of reliability detection.

Abstract: The present disclosure relates to the amplification of target nucleic acid sequences for various sequencing and/or identification techniques. The use of these primers, as described herein, allows for the reduction in the amplification of nonspecific hybridization events (such as primer dimerization) while allowing for the amplification of the target nucleic acid sequences.

Abstract: Hierarchical modulation preferably uses a 16-ary quadrature amplitude modulation (QAM) modulator with a convolutional encoder that combine to effectively provide unequal protection to two different segments of streaming input data, with improved power efficiency with the same bandwidth efficiency, by encoding the first segment as coded data as LSBs as the second segment remains uncoded as uncoded MSBs, with the MSBs used for QAM constellation modest reliability interquadrant demodulation and detection, and with the LSBs used for low reliability intraquadrant detection, but with the LSBs subject to convolutional encoding and decoding rendering the LSBs with high reliability detection, such that, the two segments have unequal coding and modulation for providing unequal levels of reliability detection.

Abstract: A method of optimization of a single-point frontal airbag fire threshold. The relationship of the airbag fire distribution as a function of velocity to the airbag fire-time is characterized through the use of an optimization procedure. The optimization is conducted by abstracting the sensor algorithm and its associated constraints into a simple mathematical formulation. An airbag fire objective function is constructed that integrates the fire-rate and fire-time requirements. The function requires the input of a single acceleration time history, and it produces an output depending on the airbag fire condition. Numerical search of the optimal fire threshold curve is achieved through parameterizing this curve and applying a modified simplex search optimization algorithm that determines the optimal threshold function parameters without computing the complete objective function in the parameter space.