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: A method includes, while a user device is using a first presentation mode to present content to a user, obtaining a current state of the user of the user device. The method also includes, based on the current state of the user, providing, as output from a user interface of the user device, a user-selectable option that when selected causes the user device to use a second presentation mode to present the content to the user. The method further includes, in response to receiving a user input indication indicating selection of the user-selectable option, initiating presentation of the content using the second presentation mode.

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: A method includes, while a user device is using a first presentation mode to present content to a user, obtaining a current state of the user of the user device. The method also includes, based on the current state of the user, providing, as output from a user interface of the user device, a user-selectable option that when selected causes the user device to use a second presentation mode to present the content to the user. The method further includes, in response to receiving a user input indication indicating selection of the user-selectable option, initiating presentation of the content using the second presentation mode.

Abstract: Techniques and apparatuses for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques and apparatuses for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: A method includes, while a user device is using a first presentation mode to present content to a user, obtaining a current state of the user of the user device. The method also includes, based on the current state of the user, providing, as output from a user interface of the user device, a user-selectable option that when selected causes the user device to use a second presentation mode to present the content to the user. The method further includes, in response to receiving a user input indication indicating selection of the user-selectable option, initiating presentation of the content using the second presentation mode.

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: Techniques and apparatuses for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: This disclosure describes techniques and apparatuses for implementing adaptive detection of user proximity. These techniques and apparatuses enable a device to detect, via environmental variances, proximity of a user and then trigger functions of the device based on the user proximity. The device may also determine if conditions of an environment caused false detection of an environmental variance, in which case, the environmental variance may be disregarded to prevent false triggering of the device functions.

Abstract: Techniques (300, 400, 500) and apparatuses (100, 200, 700) for recognizing accented speech are described. In some embodiments, an accent module recognizes accented speech using an accent library based on device data, uses different speech recognition correction levels based on an application field into which recognized words are set to be provided, or updates an accent library based on corrections made to incorrectly recognized speech.

Abstract: A media network is described. In an exemplary embodiment, the media network includes a plurality of media elements such as, for example, a plurality of display elements.