Abstract: The present invention relates to methods of synthesizing long-chain polyunsaturated fatty acids, especially eicosapentaenoic acid, docosapentaenoic acid and docosahexaenoic acid, in recombinant cells such as yeast or plant cells. Also provided are recombinant cells or plants which produce long-chain polyunsaturated fatty acids. Furthermore, the present invention relates to a group of new enzymes which possess desatorase or elongase activity that can be used in methods of synthesizing long-chain polyunsaturated fatty acids.

Abstract: The present invention relates to methods of synthesizing long-chain polyunsaturated fatty acids, especially eicosapentaenoic acid, docosapentaenoic acid and docosahexaenoic acid, in recombinant cells such as yeast or plant cells. Also provided are recombinant cells or plants which produce long-chain polyunsaturated fatty acids. Furthermore, the present invention relates to a group of new enzymes which possess desaturase or elongase activity that can be used in methods of synthesizing long-chain polyunsaturated fatty acids.

Abstract: The present invention relates to methods of synthesizing long-chain polyunsaturated fatty acids, especially eicosapentaenoic acid, docosapentaenoic acid and docosahexaenoic acid, in recombinant cells such as yeast or plant cells. Also provided are recombinant cells or plants which produce long-chain polyunsaturated fatty acids. Furthermore, the present invention relates to a group of new enzymes which possess desatorase or elongase activity that can be used in methods of synthesizing long-chain polyunsaturated fatty acids.

Abstract: The present invention relates to methods of synthesizing long-chain polyunsaturated fatty acids, especially eicosapentaenoic acid, docosapentaenoic acid and docosahexaenoic acid, in recombinant cells such as yeast or plant cells. Also provided are recombinant cells or plants which produce long-chain polyunsaturated fatty acids. Furthermore, the present invention relates to a group of new enzymes which possess desatorase or elongase activity that can be used in methods of synthesizing long-chain polyunsaturated fatty acids.

Abstract: The present invention relates to feedstuffs for use in aquaculture, as well as methods for producing said feedstuffs. The invention also provides methods for rearing fish and/or crustaceans. In particular, the present invention provides a method of rearing a fish or crustacean, the method comprising feeding the fish or crustacean a feedstuff comprising lipid, the fatty acid of said lipid comprising at least 5.5% (w/w) stearidonic acid (SDA).

Abstract: The present invention provides a method of site-directed insertion to H11 locus in pigs by using site-directed cutting system, includes the following steps: 1) identify the targeted sequence targeted by the targeted cutting system in the targeted genome sequence of pigs; 2) design and construct the targeting sequence of the corresponding cutting system according to the targeted site; 3) construction of targeting vector; 4) transfect cells, identify the efficiency of fixed-point insertion by PCR amplification. The invention is dependent on the site-directed cutting system of H11 locus in pigs, to insert the target gene into the target site, in order to solve the problems such as low efficiency of traditional shooting technique, inconvenience design of PCR detection primer, harder to detect. The invention provides a method of site-directed insertion which can stably express the foreign gene at the H11 locus, to build an efficient platform for the production of transgenic pigs.

Abstract: The present invention relates generally to the field of recombinant fatty acid synthesis, particularly in transgenic plants. The application describes genes involved in fatty acid synthesis and provides methods and vectors for the manipulation of fatty acid composition of plant oils. In particular, the invention provides constructs for achieving the integration of multiple heterologous genes involved in fatty acid synthesis into the plant genome, such that the resulting plants produce altered levels of polyunsaturated fatty acids. Also described are methods for enhancing the expression of fatty acid biosynthesis enzymes by co-expressing a silencing suppressor within the plant storage organ.

Abstract: The present invention relates generally to the field of recombinant fatty acid synthesis, particularly in transgenic plants. The application describes genes involved in fatty acid synthesis and provides methods and vectors for the manipulation of fatty acid composition of plant oils. In particular, the invention provides constructs for achieving the integration of multiple heterologous genes involved in fatty acid synthesis into the plant genome, such that the resulting plants produce altered levels of polyunsaturated fatty acids. Also described are methods for enhancing the expression of fatty acid biosynthesis enzymes by co-expressing a silencing suppressor within the plant storage organ.

Abstract: The present invention relates to methods of synthesizing long-chain polyunsaturated fatty acids, especially eicosapentaenoic acid, docosapentaenoic acid and docosahexaenoic acid, in recombinant cells such as yeast or plant cells. Also provided are recombinant cells or plants which produce long-chain polyunsaturated fatty acids. Furthermore, the present invention relates to a group of new enzymes which possess desatorase or elongase activity that can be used in methods of synthesizing long-chain polyunsaturated fatty acids.

Abstract: One embodiment of the present invention provides a computing system. The computing system includes a processor and a computer-readable storage medium. The computer-readable storage medium stores instructions which when executed by the processor cause the processor to perform a method. The method comprises obtaining from a first data structure one or more pointers to corresponding elements in a second data structure. A respective vertex of a graph corresponds to an element in the first data structure and the graph supports multiple edge types between respective vertex pairs. The method further comprises obtaining from the second data structure a respective edge type associated with a respective vertex and a respective successor vertex of the edge type and enumerating a respective successor vertex of an edge type of a vertex from the second data structure based on a pointer in an element in the first data structure associated with the vertex.

Abstract: A circuitry includes a functional circuit providing a predetermined function and a resistive device coupled between a power supply and the functional circuit to contribute a resistance on a power supplying path for the power supply to supply power to the functional circuit. The resistance is tunable.

Abstract: In one aspect, an assay test strip includes a test label that specifically binds a target analyte and a control label that is free of any specific binding affinity for the target analyte and has a different optical characteristic than the test label. In another aspect, an assay test strip includes a test label that specifically binds a target analyte and at least one non-specific-binding label that is free of any specific binding affinity for the target analyte. Systems and methods of reading assay test strips also are described.

Abstract: Embodiments of the present invention disclose a method for resource allocation and a base station, used for allocating resource blocks by the base station. The method according to the embodiments of the present invention includes: a base station determine a user equipment UE to which a current allocated resource block is allocated; if the index number of any resource block among the allocated resource blocks of the UE falls within a preset first index number range, judging whether the number of the allocated resource blocks of the UE is less than the preset first parameter value.

Abstract: Compressed Level-Ordered Edge Sequence (CLOES) encodings are described. These techniques enable more aggressive compression of a state-set representation.

Abstract: The present invention relates to methods of synthesizing long-chain polyunsaturated fatty acids, especially eicosapentaenoic acid, docosapentaenoic acid and docosahexaenoic acid, in recombinant cells such as yeast or plant cells. Also provided are recombinant cells or plants which produce long-chain polyunsaturated fatty acids. Furthermore, the present invention relates to a group of new enzymes which possess desaturase or elongase activity that can be used in methods of synthesizing long-chain polyunsaturated fatty acids. In particular, the present invention provides ?3 destaurases, ?5 elongases and ?6 desaturases with novel activities. Also provided are methods and DNA constructs for transiently and/or stably transforming cells, particularly plant cells, with multiple genes.

Abstract: Disclosed is a mobile device which comprises a CPU, a USB Type-C interface and a switching circuit. The switching circuit is configured to switch a connection line of two preset pins of the USB Type-C interface to connect UART TxD and UART RxD pins of the CPU, upon detecting that a UART cable is inserted into the USB Type-C interface.

Abstract: A method and system performing a general matrix-matrix multiplication (GEMM) operation using a kernel compiled with optimal maximum register count (MRC). During operation, the system may generate the kernel compiled with optimal MRC. This may involve determining a fastest compiled kernel among a set of compiled kernels by comparing the speeds of the compiled kernels. Each kernel may be compiled with a different MRC value between zero and a predetermined maximum number of registers per thread. The fastest compiled kernel is determined to be the kernel with optimal MRC. The system may receive data representing at least two matrices. The system may select the kernel compiled with optimal MRC, and perform the GEMM operation on the two matrices using the selected kernel. Some embodiments may also perform general matrix-vector multiplication (GEMV), sparse matrix-vector multiplication (SpMV), or k-means clustering operations using kernels compiled with optimal MRC.

Abstract: The present invention relates generally to the field of recombinant fatty acid synthesis, particularly in transgenic plants. The application describes genes involved in fatty acid synthesis and provides methods and vectors for the manipulation of fatty acid composition of plant oils. In particular, the invention provides constructs for achieving the integration of multiple heterologous genes involved in fatty acid synthesis into the plant genome, such that the resulting plants produce altered levels of polyunsaturated fatty acids. Also described are methods for enhancing the expression of fatty acid biosynthesis enzymes by co-expressing a silencing suppressor within the plant storage organ.

Abstract: A system and method for efficient sparse matrix processing are provided in one embodiment. A compressed representation of a sparse matrix, the sparse matrix including one or more non-zero entries in one or more of a plurality of portions of the matrix, is obtained by at least one server including one or more streaming multiprocessors, each of the streaming multiprocessors including one or more graphics processing unit (GPU) processor cores. Each of the portions are assigned into one of a plurality of partitions based on a number of the non-zero entries in that portion. For each of the partitions, a predefined number of the GPU processor cores are assigned for processing each of the portions assigned to that partition based on the numbers of the non-zero entries in the portions assigned to that partition. For each of the partitions, each of the portions associated with that partition are processed.

Abstract: A method and system for performing general matrix-vector multiplication (GEMV) operations on a graphics processor unit (GPU) using Smart kernels. During operation, the system may generate a set of kernels that includes at least one of a variable-N GEMV kernel and a constant-N GEMV kernel. A constant-N GEMV kernel performs computations for matrix and vector combinations with a specific value of N (e.g., the number of columns in a matrix and the number of rows in a vector). Variable-N GEMV kernels may perform computations for all values of N. The system may also generate 1B1R kernels, constant-N variable-rows GEMV kernels, and variable-N variable-rows GEMV kernels. The system may generate constant-N variable-threads GEMV kernels, and variable-N variable-threads GEMV kernels. The system may also generate variable-threads-rows GEMV kernels for the set. This may include ConstN kernels (e.g., constant-N variable-threads-rows GEMV kernels), and VarN kernels (e.g., variable-N variable-threads-rows GEMV kernels).