Abstract: Various embodiments disclosed relate to increasing the proportion of omega-3 fatty acid in seed oil produced by a plurality of Brassica plants, such as canola, transgenically modified to produce seed oil comprising at least one of EPA, DHA and DPA. Transgenic Brassica plants, such as transgenic canola, are subjected to an environment which has an average daily day-night temperature difference of at least 13° C. during the transgenic plant's period of seed maturation. The seed oil is at least 5 wt % EPA. The seed oil is at least 1 wt % DPA. The seed oil is at least 0.2 wt % DHA. The seed oil is at least 5.2 wt % a mixture of EPA and DHA. The seed oil is at least 6 wt % long chain omega-3 fatty acids.

Abstract: Provided are various aspects related to increasing the proportion of omega-3 fatty acid in seed oil produced by a plurality of Brassica plants, which have been modified to produce seed oil comprising at least one of EPA, DHA and DPA. It relates to a method to increase the proportion of long-chain omega-3 fatty acid in seed oil produced by a plurality of Brassica oilseed plants that have been modified to produce seed oil with at least one of EPA, DHA and DPA comprising harvesting said Brassica plants when 80% to 100% color change has occurred on the first raceme.

Abstract: Various embodiments disclosed relate to increasing the proportion of omega-3 fatty acid in seed oil produced by a plurality of Brassica plants, such as canola, transgenically modified to produce seed oil comprising at least one of EPA, DHA and DPA. Transgenic Brassica plants, such as transgenic canola, are subjected to an environment which has an average daily day-night temperature difference of at least 13° C. during the transgenic plant's period of seed maturation. The seed oil is at least 5 wt % EPA. The seed oil is at least 1 wt % DPA. The seed oil is at least 0.2 wt % DHA. The seed oil is at least 5.2 wt % a mixture of EPA and DHA. The seed oil is at least 6 wt % long chain omega-3 fatty acids.

Abstract: Methods, systems, and computer readable media for performing long term evolution (LTE) hybrid automatic repeat request (HARQ) processing are disclosed. According to one method, the method occurs at a multi-UE simulator. The method includes receiving downlink control channel data for a plurality of user devices being simulated. The method also includes decoding HARQ data for each user device of the plurality of user devices. The method further includes performing at least one HARQ data verification step for each user device of the plurality of user devices and acting on the verified HARQ data for each user device of the plurality of user devices.

Abstract: According to one aspect, the subject matter described herein includes a method for dynamically controlling a Turbo decoding process in a long term evolution (LTE) multi-user equipment (UE) traffic simulator. The method includes steps occurring in an LTE traffic simulator configured to simulate plural UE devices. The steps include receiving, from an evolved NodeB under test, a plurality of transport blocks. The steps also include dynamically determining a maximum number of Turbo decoding iterations for each of the transport blocks. The steps further include Turbo decoding each of the transport blocks for no more than its determined maximum number of Turbo decoding iterations.

Abstract: According to one aspect, the subject matter described herein includes a method for dynamically controlling a Turbo decoding process in a long term evolution (LTE) multi-user equipment (UE) traffic simulator. The method includes steps occurring in an LTE traffic simulator configured to simulate plural UE devices. The steps include receiving, from an evolved NodeB under test, a plurality of transport blocks. The steps also include dynamically determining a maximum number of Turbo decoding iterations for each of the transport blocks. The steps further include Turbo decoding each of the transport blocks for no more than its determined maximum number of Turbo decoding iterations.

Abstract: Methods, systems, and computer readable media for performing long term evolution (LTE) hybrid automatic repeat request (HARQ) processing are disclosed. According to one method, the method occurs at a multi-UE simulator. The method includes receiving downlink control channel data for a plurality of user devices being simulated. The method also includes decoding HARQ data for each user device of the plurality of user devices. The method further includes performing at least one HARQ data verification step for each user device of the plurality of user devices and acting on the verified HARQ data for each user device of the plurality of user devices.

Abstract: Canola oils from hybrid Brassica varieties and methods for producing hybrid Brassica varieties are described. The hybrid seeds have a low, mid, or high oleic acid content and a low linolenic acid content.

Abstract: Canola oils from hybrid Brassica varieties and methods for producing hybrid Brassica varieties are described. The hybrid seeds have a low, mid, or high oleic acid content and a low linolenic acid content.

Abstract: Canola oils from hybrid Brassica varieties and methods for producing hybrid Brassica varieties are described. The hybrid seeds have a low, mid, or high oleic acid content and a low linolenic acid content.

Abstract: Transgenic plants that are resistant to Sclerotinia and Phoma lingam are described as well as methods for producing such transgenic plants.

Abstract: Transgenic plants that are resistant to Sclerotinia or Phoma lingam are described as well as methods for producing such tranagenic plants. The transgenic plants include nucleic acid constructs that encode a chitinase polypeptide, a ?-1,3-glucanase polypeptide, an osmotin polypeptide, and a pathogenesis-related-1 polypeptide.

Abstract: Transgenic plants that are resistant to Sclerotinia and Phoma lingam are described as well as methods for producing such transgenic plants.