Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for secure communications in a digital engineering ecosystem. In some implementations, a digital platform receives a request from a user device to interact with a digital model. The digital platform determines whether a user operating the user device is authorized. In response to determining the user is authorized to access the digital platform, the digital platform generates a token that provides the user with access to the digital platform. The digital platform determines whether the request includes malicious activity. In response to determining that the request is absent of the malicious activity, the digital platform executes a digital thread that executes one or more operations using digital tools and the digital model. The digital platform provides data indicative of the one or more operations executing the digital thread to the user device.

Abstract: A controllable array sorting device is disclosed, including: an array of diverting mechanisms; and a processor coupled to the array of diverting mechanisms, wherein the processor is configured to: process an instruction to perform a sorting action on a target item, wherein the instruction specifies a selected at least subset of the array of diverting mechanisms to use to perform the sorting action; and in response to the instruction, cause the selected at least subset of the array of diverting mechanisms to perform the sorting action on the target item.

Abstract: Systems and methods are provided herein for altering a start time of an event based on indicia of how late event attendees will be for the event that are retrieved from location applications corresponding to each attendee of the attendees. For example, a media guidance application may determine a start time of an event, a location of the event, and attendees of the event. The media guidance application may determine location applications corresponding to the attendees. The media guidance application may query the location applications for arrival times of each attendee. The media guidance application may calculate a plurality of differences between each of the arrival times and the start time of the event. Based on the plurality of differences, the media guidance application may delay the start time of the event.

Abstract: A method of forming a glass body, the method including pressing titania-doped silica soot to form a molded body, consolidating the molded body by heating the molded body, annealing the consolidated molded body, and polishing at least one surface of the annealed molded body to form the glass body. After the polishing, the at least one surface of the glass body has a waviness amplitude of about 0.60 nm or less in the spatial frequency range of 0.05 mm?1 or more and 0.2 mm?1 or less.

Abstract: Using machine learning to recognize variant objects is disclosed, including: identifying an object as a variant of an object type by inputting sensed data associated with the object into a modified machine learning model corresponding to the variant of the object type, wherein the modified machine learning model corresponding to the variant of the object type is generated using a machine learning model corresponding to the object type; and generating a control signal to provide to a sorting device that is configured to perform a sorting operation on the object, wherein the sorting operation on the object is determined based at least in part on the variant of the object type associated with the object.

Abstract: An integrated security system integrates broadband and mobile access and control with conventional security systems and premise devices to provide a tri-mode security network having remote connectivity and access. The integrated security system delivers remote premise monitoring and control functionality to conventional monitored premise protection and complements existing premise protection equipment. The integrated security system integrates into the premise network and couples wirelessly with the conventional security panel, enabling broadband access to premise security systems. Automation devices can be added, enabling users to remotely see live video or pictures and control home devices via a personal web portal or other client device. Camera management enables automatic configuration and management of cameras in the premise network.

Abstract: The present application provides a bulk acoustic resonator and a preparation method thereof, and a filter. The bulk acoustic resonator includes: a substrate, wherein the substrate includes a first semiconductor layer, an insulating layer and a second semiconductor layer, which are stacked in sequence; the surface of the second semiconductor layer is etched to form a groove, and the groove penetrates through the second semiconductor layer; and a protection part is formed in the groove, and a vertical section of the groove has a smooth contour.

Abstract: A case for a catheter system is disclosed, the case including a case body including a first side coupled to a second side. The case can include padding with a plurality of cavities to receive components of the catheter system and a strap to secure components of the catheter system to an interior of the case body. The case can further include one or more clips affixed to an interior wall of the first side or the second side of the case body. The one or more clips can be configured to secure additional catheter tubing or an external catheter to the interior wall of case body.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for securely certifying products in an ecosystem. In some implementations, a digital platform receives a user request to access digital models. The digital platform determines whether the user is authorized to access the digital models. In response, the digital platform generates a transaction request to send to a location of the digital models, wherein the transaction request comprises data identifying operations to perform using the digital models. The digital platform transmits, to the location of the digital models, the generated transaction request that causes execution of the operations. The digital platform receives data representative of a result of the operations performed. The digital platform provides, to a user interface of the user device, the data representative of the result. The digital platform audits the data related to the transaction request and the data representative of the result.

Abstract: Systems and methods are described herein for providing media guidance. Control circuitry may receive a first voice input and access a database of topics to identify 5 a first topic associated with the first voice input. A user interface may generate a first response to the first voice input, and subsequent to generating the first response, the control circuitry may receive a second voice input. The control circuitry may 10 determine a match between the second voice input and an interruption input such as a period of silence or a keyword or a phrase, such as “Ahh,”, “Umm,”, or “Hmm.” The user interface may generate a second response that is associated with a second topic related to the first 15 topic. By interrupting the conversation and changing the subject from time to time, media guidance systems can appear to be more intelligent and human.

Abstract: Many active pharmaceutical ingredients (API) are available in tablet form. Particles of the API should have a favorable compaction profile in order to be compressed into tablets, especially when the API is present in a large weight percentage in the tablet. Disclosed herein are particles of diroximel fumarate having improved characteristic for tablet formation, and methods of producing the same.

Abstract: A framework that may be implemented by a workload orchestration platform for scheduling accelerator-enabled workloads on the accelerators in a cluster is provided. In one set of embodiments, the framework enables the platform to schedule accelerator-enabled workloads based on a multitude of user-provided, fine-grained accelerator requirements. In another set of embodiments, the framework enables the platform to automatically recommend an initial set of accelerator resource requirements for an accelerator-enabled workload and automatically right-size such requirements based on telemetry data collected during the workload's runtime.

Abstract: The invention relates to a photometer (30) for analysing the composition of a sample gas. The photometer comprises an infra-red (IR) source (20) configured to direct a first plurality of pulses (40) of IR radiation through the sample gas to an IR detector (26), at least two of the first plurality of pulses being of different wavelength. The photometer further comprises an ultraviolet (UV) source (32) configured to generate a second plurality of pulses (38) of UV radiation for conveyance to a UV detector (36), at least two of the second plurality of pulses being of different wavelength. A path selection arrangement (22, 42-50) is configured to selectively convey different ones of the second plurality of pulses (38) to one of the sample gas and the UV detector (36). The photometer further comprises processing circuitry coupled to the IR source (20), the UV source (32), the IR detector (26), the UV detector (36) and the path selection arrangement (22, 42-50).

Abstract: A fluid collection system may include a fluid collection assembly configured to receive urine from a user, a container configured to sore the urine collected from the fluid collection assembly, a collection tube disposed between the fluid collection assembly and the container, and a bi-directional pump. The fluid collection system operates in a first configuration to draw urine from the fluid collection assembly into the container and a second configuration to drain the urine and clean the fluid collection system.

Abstract: An example fluid collection assembly includes a fluid impermeable barrier defining at least one opening, a chamber in fluid communication with the at least one opening, and at least one fluid outlet. The fluid collection assembly also includes at least one porous material (e.g., at least one wicking material) disposed in the chamber. The fluid collection assembly also includes at least one conduit attached to the fluid outlet. Further, the fluid collection assembly includes one or more leak prevention features.

Abstract: Described herein are systems and methods for providing persistent storage for a container based application running on and unaware of a container orchestration system. An empty directory volume is mounted in a pod of the container orchestration system. A read to a persistent storage is performed by an init container of the pod. The persistent storage is not local to the node of the pod. Writing of the read is performed to the empty directory volume. The empty directory volume is to an application container that runs the container based application, allowing read/write operations between the empty directory volume and application container. Monitoring and providing changes is of the empty directory volume is performed to the persistent storage.

Abstract: Using machine learning to recognize variant objects is disclosed, including: identifying an object as a variant of an object type by inputting sensed data associated with the object into a modified machine learning model corresponding to the variant of the object type, wherein the modified machine learning model corresponding to the variant of the object type is generated using a machine learning model corresponding to the object type; and generating a control signal to provide to a sorting device that is configured to perform a sorting operation on the object, wherein the sorting operation on the object is determined based at least in part on the variant of the object type associated with the object.

Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.

Abstract: Introduced here is a network-accessible platform (or simply “platform”) that is designed to monitor digital activities that are performed across different services to ascertain, in real time, threats to the security of an enterprise. In order to surface insights into the threats posed to an enterprise, the platform can apply machine learning models to data that is representative of digital activities performed on different services with respective accounts. Each model may be trained to understand what constitutes normal behavior for a corresponding employee with respect to a single service or multiple services. Not only can these models be autonomously trained for the employees of the enterprise, but they can also be autonomously applied to detect, characterize, and catalog those digital activities that are indicative of a threat.