Abstract: Methods of making orally available softgels includes pre-wetting a probiotic with an edible oil to produce a wetted supplement, wherein the edible oil is present in a range of 25% to 75% by weight of a total weight of the probiotic and edible oil, heating the wetted supplement to a temperature in a range of 35° C. to 40° C., blending the wetted supplement and a molten chocolate component together to produce a liquid fill material, encapsulating the liquid fill material in a softgel coating to produce an orally available softgel, and cooling the orally available softgel to have a softgel capsule shell comprising 5% to 15% by weight water. The fill material is a solid at room temperature in the cooled orally available softgel.

Abstract: Introduced here computer programs and associated computer-implemented techniques for generating measurements of physical structures and environments in an automated matter through analysis of data that is generated by one or more sensors included in a computing device. This can be accomplished by combining insights that are derived through analysis different types of data that are generated, computed, or otherwise obtained by a computing device. For instance, a computer program may enable or facilitate measurement of arbitrary dimensions, angles, and square footage of a physical structure based on (i) images generated by an image sensor included in the corresponding computing device and (ii) measurements generated by an inertial sensor included in the corresponding computing device.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: A winch assembly includes a base having first and second sides, a first shaft supported by the base and supporting a gear and a reel, and a second shaft supported by the base and supporting a ratchet gear. The ratchet gear meshes with the gear and a pawl, and a handle is attached to the second shaft for rotation thereof. The winch includes a cover having a top movable between first and second positions and first and second sides rotatably supporting the top. The first side may include a first arm extending toward and engaging a second arm extending from the second side. The top may include hooks for engaging a shaft extending between the sides of the cover. The sides of the cover may each include at least one retainer clip and the top includes corresponding lugs for engaging the at least one retainer clips.

Abstract: A winch assembly includes a base having first and second sides, a first shaft supported by the base and supporting a gear and a reel, and a second shaft supported by the base and supporting a ratchet gear. The ratchet gear meshes with the gear and a pawl, and a handle is attached to the second shaft for rotation thereof. The winch includes a cover having a top movable between first and second positions and first and second sides rotatably supporting the top. The first side may include a first arm extending toward and engaging a second arm extending from the second side. The top may include hooks for engaging a shaft extending between the sides of the cover. The sides of the cover may each include at least one retainer clip and the top includes corresponding lugs for engaging the at least one retainer clips.

Abstract: A method includes receiving user data packets from customer premises equipment (CPE) in communication with a network terminal over a communication link and enabling a network terminal-side loopback mode to establish a closed traffic test loop across the communication link between the network terminal and the CPE. The received user data packets indicate that a CPE-side loopback mode is enabled. The method also includes injecting a number of data bits into the closed traffic test loop until a saturation threshold of the communication link is satisfied, and when the number of data bits injected into the closed traffic test loop satisfies the saturation threshold, determining a packet error-rate of the number of data bits circulating in the closed traffic test loop. After determining the packet error-rate, the method also includes removing the closed traffic test loop across the communication link between the network terminal and the CPE.

Abstract: A method includes receiving user data packets from customer premises equipment (CPE) in communication with a network terminal over a communication link and enabling a network terminal-side loopback mode to establish a closed traffic test loop across the communication link between the network terminal and the CPE. The received user data packets indicate that a CPE-side loopback mode is enabled. The method also includes injecting a number of data bits into the closed traffic test loop until a saturation threshold of the communication link is satisfied, and when the number of data bits injected into the closed traffic test loop satisfies the saturation threshold, determining a packet error-rate of the number of data bits circulating in the closed traffic test loop. After determining the packet error-rate, the method also includes removing the closed traffic test loop across the communication link between the network terminal and the CPE.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified rules to events in an action log framework (ALF) stream is disclosed. More specifically, collaboration environments can include features or mechanisms that allow end-users or collaborators to perform a variety of actions such as, for example, file uploads and previews, or collaboration operations such as, for example, task assignment and comments. These actions can be captured or logged by an action log framework and, as described herein, automatically translated into one or more jobs by applying customizable user-specified rules.

Abstract: Scalable architectures, systems, and services are provided herein for generating jobs by applying user-specified metadata rules to metadata events. More specifically, the scalable architecture described herein uses metadata to drive automations and/or polices in a cloud-based environment. In one embodiment, the architecture integrates a metadata service with an event-based automation engine to automatically trigger polices and/or automations based on metadata and/or changes in metadata changes. The metadata service can include customizable and/or pre-build metadata templates which can be used to automatically apply a metadata framework (e.g., particular fields) to files based on, for example, the upload or placement of a particular file in a particular folder. The architecture also provides for advanced metadata searching and data classification.