Abstract: Apparatus and methods provide relatively low uncorrectable bit error rates, low write amplification, long life, fast and efficient retrieval, and efficient storage density such that a solid-state drive (SSD) can be reliably implemented using various types of memory cells, including relatively inexpensive multi-level cell flash. One embodiment intelligently coordinates remapping of bad blocks with error correction code control, which eliminates the tables used to avoid bad blocks.

Abstract: Apparatus and methods provide relatively low uncorrectable bit error rates, low write amplification, long life, fast and efficient retrieval, and efficient storage density such that a solid-state drive (SSD) can be reliably implemented using various types of memory cells, including relatively inexpensive multi-level cell flash. One embodiment intelligently coordinates remapping of bad blocks with error correction code control, which eliminates the tables used to avoid bad blocks.

Abstract: Apparatus and methods provide relatively low uncorrectable bit error rates, low write amplification, long life, fast and efficient retrieval, and efficient storage density such that a solid-state drive (SSD) can be reliably implemented using various types of memory cells, including relatively inexpensive multi-level cell flash. One embodiment intelligently coordinates remapping of bad blocks with error correction code control, which eliminates the tables used to avoid bad blocks.

Abstract: A method and system are provided for performing Decision Feedback Equalization (DFE) and Decision Feedback Sequence Estimation (DFSE) in high-throughput applications that are not latency critical. In an embodiment, overlapping blocks of samples are used to allow for the parallelization of the computation and the breaking of the critical path. In addition, the overlap of the windows addresses issues associated with performance loss due to what is termed “ramp-up” and “ramp-down” BER loss.

Abstract: Provided herein are methods to discover and use single nucleotide polymorphisms (SNP) for identifying breed, or line and breed, or line composition of a bovine subject. The present invention further provides specific nucleic acid sequences, SNPs, and SNP patterns that can be used for identifying breed or breed combinations for Angus, Holstein, Limousin, Brahman, Hereford, Simmental, Gelbvieh, Charolais and Beefmaster breeds. These patterns can be utilized to manage animals in a feedlot to obtain optimum performance based on known characteristics of specific breeds and identify animals for breeding in selection programs. In another aspect, these patterns can be used to ensure labeling on breed specific branded products.

Abstract: Provided herein are methods to discover and use single nucleotide polymorphisms (SNP) for identifying breed, or line and breed, or line composition of a bovine subject. The present invention further provides specific nucleic acid sequences, SNPs, and SNP patterns that can be used for identifying breed or breed combinations for Angus, Holstein, Limousin, Brahman, Hereford, Simmental, Gelbvieh, Charolais and Beefmaster breeds. These patterns can be utilized to manage animals in a feedlot to obtain optimum performance based on known characteristics of specific breeds and identify animals for breeding in selection programs. In another aspect, these patterns can be used to ensure labeling on breed specific branded products.

Abstract: In an aspect, in general, a forward error correction algorithm (FEC) utilizes an FEC block structure in a manner that extends the effective error correction such that it can approach an “infinite” length to obtain benefits typical of very large FEC block size without the commensurate computation cost.

Abstract: Disclosed is an apparatus for automatically extracting i2,6-diisopropylphenol (Propofol), from a complex sample matrix comprising cellular material, e.g.

Abstract: Methods, compositions, and systems are provided for managing bovine subjects in order to maximize their individual potential performance and edible meat value, and to maximize profits obtained in marketing the bovine subjects. The methods and systems draw an inference of a trait of a bovine subject by determining the nucleotide occurrence of at least one bovine SNP that is identified herein as being associated with the trait. The inference is used in methods of the present invention to establish the economic value of a bovine subject, to improve profits related to selling beef from a bovine subject; to manage bovine subjects, to sort bovine subjects; to improve the genetics of a bovine population by selecting and breeding of bovine subjects, to clone a bovine subject with a specific trait, to track meat or another commercial product of a bovine subject; and to diagnose a health condition of a bovine subject.

Abstract: In an aspect, in general, a forward error correction algorithm (FEC) utilizes an FEC block structure in a manner that extends the effective error correction such that it can approach an “infinite” length to obtain benefits typical of very large FEC block size without the commensurate computation cost.

Abstract: In one implementation, a transceiver is provided that includes a precoder to pre-equalize a data signal transmitted from the transceiver. The transceiver further includes an interference cancellation system to substantially cancel interference from a data signal received by the transceiver. The precoder and the interference cancellation system share at least one common input signal.

Abstract: The present invention relates to a container carrier and to packaging systems for containers and using the same. This invention pertains to carrier stock for machine application to substantially identical containers such as beverage cans having annular chimes, cylindrical side walls, and frusto-conical walls between the chimes and the side walls. In particular, the present invention relates to plastic film having apertures to securely retain drinks cans, food cans, bottles and similar containers, a method of applying the film and the resultant combination.

Abstract: Provided herein are methods to discover and use single nucleotide polymorphisms (SNP) for identifying breed, or line and breed, or line composition of a bovine subject. The present invention further provides specific nucleic acid sequences, SNPs, and SNP patterns that can be used for identifying breed or breed combinations for Angus, Holstein, Limousin, Brahman, Hereford, Simmental, Gelbvieh, Charolais and Beefmaster breeds. These patterns can be utilized to manage animals in a feedlot to obtain optimum performance based on known characteristics of specific breeds and identify animals for breeding in selection programs. In another aspect, these patterns can be used to ensure labeling on breed specific branded products.

Abstract: Decoder for low-density parity check convolutional codes. In at least some embodiments, a decoder (200) for arbitrary length blocks of low-density, parity-check codes includes a plurality of interconnected processors (202), which further include a plurality of interconnected nodes. A memory can be interconnected with the nodes to store intermediate log likelihood ratio (LLR) values based on channel LLR values. Thus, LLR values having successively improved accuracy relative to the channel LLR values can be output from each processor, and eventually used to decision information bits. In some embodiments, the memory is a random access memory (RAM) device that is adapted to store the intermediate LLR values in a circular buffer. Additionally, a storage device such as a read-only memory (ROM) device can be used to generate a predetermined plurality of addresses for reading and writing LLR values.

Abstract: Methods and systems are provided for managing non-beef livestock subjects in order to maximize their individual potential performance and the value of a product from the non-beef livestock subjects, and to maximize profits obtained in marketing the non-beef livestock subjects. The methods and systems draw an inference of a trait of a non-beef livestock subject by determining the nucleotide occurrence of at least one non-beef livestock SNP that is determined to be associated with the trait.

Abstract: Provided herein are methods to discover and use single nucleotide polymorphisms (SNP) for identifying breed, or line and breed, or line composition of a bovine subject. The present invention further provides specific nucleic acid sequences, SNPs, and SNP patterns that can be used for identifying breed or breed combinations for Angus, Holstein, Limousin, Brahman, Hereford, Simmental, Gelbvieh, Charolais and Beefmaster breeds. These patterns can be utilized to manage animals in a feedlot to obtain optimum performance based on known characteristics of specific breeds and identify animals for breeding in selection programs. In another aspect, these patterns can be used to ensure labeling on breed specific branded products.

Abstract: Methods, compositions, and systems are provided for managing bovine subjects in order to maximize their individual potential performance and edible meat value, and to maximize profits obtained in marketing the bovine subjects. The methods and systems draw an inference of a trait of a bovine subject by determining the nucleotide occurrence of at least one bovine SNP that is identified herein as being associated with the trait. The inference is used in methods of the present invention to establish the economic value of a bovine subject, to improve profits related to selling beef from a bovine subject; to manage bovine subjects, to sort bovine subjects; to improve the genetics of a bovine population by selecting and breeding of bovine subjects, to clone a bovine subject with a specific trait, to track meat or another commercial product of a bovine subject; and to diagnose a health condition of a bovine subject.

Abstract: Methods and systems are provided for managing non-beef livestock subjects in order to maximize their individual potential performance and the value of a product from the non-beef livestock subjects, and to maximize profits obtained in marketing the non-beef livestock subjects. The methods and systems draw an inference of a trait of a non-beef livestock subject by determining the nucleotide occurrence of at least one non-beef livestock SNP that is determined to be associated with the trait.

Abstract: An architecture and a method are provided for decoding codewords for codes such as low density parity check (LDPC) codes. An iterative decoding algorithm such as the Belief Propagation Algorithm (BPA) is employed that attempts to correct errors in an input block of symbols via a structure containing two sets of nodes through node processing and the passing of messages between nodes. Message passing and node processing is performed in a digit-serial manner instead of a bit-parallel manner.