Abstract: Provided are compositions comprising compounds or precursors to compounds which may be used for a variety of therapeutic applications including, for example, treating and/or preventing a disease or disorder related to reduced or inadequate mitochondrial activity, including aging or stress, diabetes, obesity, and neurodegenerative diseases. The compounds relate generally to urolithins and precursors thereof, including but not limited to ellagitannins and urolithin A. In certain embodiments the compositions are presented in or as food products or nutritional supplements. These same compounds and compositions can also be used advantageously in generally healthy individuals to increase or maintain metabolic rate, decrease percent body fat, increase or maintain muscle mass, manage body weight, improve or maintain mental performance (including memory), improve or maintain muscle performance, improve or maintain mood, and manage stress.

Abstract: A fluid management system includes a pump configured to pump fluid through the system at a fluid flow rate. The system includes a processor including a user interface, the user interface allowing a user to input a set of system operating parameters, the processor being configured to control the pump to maintain a target fluid flow rate based on the set of system operating parameters. The system further includes a scope device coupled to the pump to deliver fluid to a target surgical site, the scope device including an elongated shaft extending from a distal end thereof, the elongated shaft including at least one sensor, the sensor transmitting sensor data relating to target surgical site to the processor. The processor automatically signals to the pump to adjust the fluid flow rate based on the sensor data.

Abstract: An absorbent article includes a first waist region, a second waist region, and a crotch region disposed between the first and second waist regions; and a chassis having a topsheet, a backsheet, and an absorbent core positioned between the topsheet and the backsheet. The article also includes a side panel having an ultrasonically bonded, gathered laminate. The laminate has an elastomeric layer and a substrate and is joined to the chassis at a chassis attachment bond and positioned in one of the first or second waist regions. The ultrasonically bonded, gathered laminate also includes an ear structural feature comprising a surface modification to the substrate and comprising at least one of the following: embossing, apertures, perforations, slits, melted material or coatings, compressed material, secondary bonds that are disposed apart from a chassis attachment bond, plastic deformation, and folds.

Abstract: Disclosed are methods, compounds, and compositions useful for increasing autophagy and promoting longevity. The methods, compounds, and compositions relate to urolithins and urolithin precursors and use thereof. Certain urolithins are represented by Formula I, while certain urolithin precursors are represented by Formula IV. The urolithin may be urolithin A, urolithin B, urolithin C, or urolithin D. The urolithin precursor may be ellagic acid or an ellagitannin. The methods include in vivo, ex vivo, and in vitro uses of the compounds and compositions.

Abstract: Disclosed are methods, compounds, and compositions useful for increasing autophagy and promoting longevity. The methods, compounds, and compositions relate to urolithins and urolithin precursors and use thereof. Certain urolithins are represented by Formula I, while certain urolithin precursors are represented by Formula IV. The urolithin may be urolithin A, urolithin B, urolithin C, or urolithin D. The urolithin precursor may be ellagic acid or an ellagitannin. The methods include in vivo, ex vivo, and in vitro uses of the compounds and compositions.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: In various examples, firewalls may include machine learning models that are automatically trained and applied to analyze service inputs submitted to input processing services and to identify whether service inputs are desirable (e.g., will result in an undesirable status code if processed by a service). When a service input is determined by a firewall to be desirable, the firewall may push the service input through to the input processing service for normal processing. When a service input is determined by the firewall to be undesirable, the firewall may block or drop the service input before it reaches the input processing service and/or server. This may be used to prevent the service input, which is likely to be undesirable, from touching a server that hosts the input processing service (e.g., preventing a crash).

Abstract: Implementations of the subject technology provide visualizations of non-visible features of a physical environment, at the location of the non-visible features in the physical environment. The non-visible features may include wireless communications signals, sounds, airflow, gases, subsonic and/or ultrasonic waves, hidden objects, or the like. A device may store visual contexts for visualizations of particular non-visible features. The device may obtain a depth map that allows the device to determine the location of the non-visible feature in the physical environment and to overlay the visualization on a user's view of that location. In this way, the non-visible feature can be visualized its correct location, orientation, direction and/or strength in the physical environment.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for preserving user privacy when selecting content are described. In some aspects, a method includes receiving a data element identifying a set of candidate digital components and, for each candidate digital component, a set of distribution parameters for the candidate digital component. For each candidate digital component, encrypted selection data for the candidate digital component is provided as input to a cryptographic analysis application running in a trusted hardware module of a client device. The encrypted selection data represents the set of distribution parameters for the candidate digital component and is encrypted using a zero-knowledge proof protocol. The cryptographic analysis application is configured to determine a measure of match between the selection data and user attributes of a user of the client device.

Abstract: Implementations of the subject technology provide visualizations of non-visible features of a physical environment, at the location of the non-visible features in the physical environment. The non-visible features may include wireless communications signals, sounds, airflow, gases, subsonic and/or ultrasonic waves, hidden objects, or the like. A device may store visual contexts for visualizations of particular non-visible features. The device may obtain a depth map that allows the device to determine the location of the non-visible feature in the physical environment and to overlay the visualization on a user's view of that location. In this way, the non-visible feature can be visualized its correct location, orientation, direction and/or strength in the physical environment.

Abstract: A method is provided comprising: obtaining a counterparty contract, the counterparty contract including a contract that is being proposed by a counterparty to a user; performing a segmentation of the counterparty contract to identify a plurality of sentence clusters, each of the sentence clusters corresponding to a different provision in the counterparty contract; generating a plurality of counterparty provision vectors based on the counterparty contract, each of the counterparty provision vectors being generated based on a different one of the plurality of sentence clusters; retrieving a user provision vector, the user provision vector corresponding to a user provision; calculating a plurality of similarity scores for the user provision vector; detecting whether the plurality of similarity scores satisfies a condition that is associated with the user provision; and outputting a notification associated with the user provision when the condition is satisfied.

Abstract: A method is provided for manufacturing a complex hollow article from a flexible polymer material. The method includes using an additive manufacturing system to form a precursory structure that is formed from a build material and phase change material, melting and removing the phase change material, injecting uncured liquid flexible polymer material into a cavity defined by the build material, curing and solidifying the flexible polymer material, and cracking and removing the build material from the flexible polymer material to provide the hollow article.

Abstract: Implementations of the subject technology provide visualizations of non-visible features of a physical environment, at the location of the non-visible features in the physical environment. The non-visible features may include wireless communications signals, sounds, airflow, gases, subsonic and/or ultrasonic waves, hidden objects, or the like. A device may store visual contexts for visualizations of particular non-visible features. The device may obtain a depth map that allows the device to determine the location of the non-visible feature in the physical environment and to overlay the visualization on a user's view of that location. In this way, the non-visible feature can be visualized its correct location, orientation, direction and/or strength in the physical environment.

Abstract: Implementations of the subject technology provide visualizations of non-visible features of a physical environment, at the location of the non-visible features in the physical environment. The non-visible features may include wireless communications signals, sounds, airflow, gases, subsonic and/or ultrasonic waves, hidden objects, or the like. A device may store visual contexts for visualizations of particular non-visible features. The device may obtain a depth map that allows the device to determine the location of the non-visible feature in the physical environment and to overlay the visualization on a user's view of that location. In this way, the non-visible feature can be visualized its correct location, orientation, direction and/or strength in the physical environment.

Abstract: In various examples, communications from a host device—which may be associated with an entity—and to a client device may be are verified through established channels of communication. Systems and methods are disclosed that use authentication signals and notifications, which may include predetermined passwords and time-sensitive values, to facilitate verification of the communication between the host device and client device. The notifications may be delivered using applications or web-based applications that are associated with an entity. Once the communication has been verified as trusted, the host device and/or the client device may present notifications that the communication is verified as trusted. The notifications may be presented using audio, video, and/or haptic methods.

Abstract: Implementations of the subject technology provide visualizations of non-visible features of a physical environment, at the location of the non-visible features in the physical environment. The non-visible features may include wireless communications signals, sounds, airflow, gases, subsonic and/or ultrasonic waves, hidden objects, or the like. A device may store visual contexts for visualizations of particular non-visible features. The device may obtain a depth map that allows the device to determine the location of the non-visible feature in the physical environment and to overlay the visualization on a user's view of that location. In this way, the non-visible feature can be visualized its correct location, orientation, direction and/or strength in the physical environment.

Abstract: In various examples, communications having insecure protocols are dynamically hardened. For example, communications that are formatted in an outdated or otherwise insecure version of a protocol (e.g., sent by a device aged out of a service window) may be isolated within a network, converted to an updated protocol format, or any combination thereof. These systems and methods may be implemented on a general purpose network device (e.g., a hub of a Local Area Network (LAN)).

Abstract: In various examples, firewalls may include machine learning models that are automatically trained and applied to analyze service inputs submitted to input processing services and to identify whether service inputs are desirable (e.g., will result in an undesirable status code if processed by a service). When a service input is determined by a firewall to be desirable, the firewall may push the service input through to the input processing service for normal processing. When a service input is determined by the firewall to be undesirable, the firewall may block or drop the service input before it reaches the input processing service and/or server. This may be used to prevent the service input, which is likely to be undesirable, from touching a server that hosts the input processing service (e.g., preventing a crash).

Abstract: A method is provided for manufacturing a complex hollow article from a flexible polymer material. The method includes using an additive manufacturing system to form a precursory structure that is formed from a build material and phase change material, melting and removing the phase change material, injecting uncured liquid flexible polymer material into a cavity defined by the build material, curing and solidifying the flexible polymer material, and cracking and removing the build material from the flexible polymer material to provide the hollow article.

Abstract: A code analyzer implements machine learning to detect vulnerabilities in computer code. The code analyzer trains a machine learning model using training vectors that characterize vulnerable programming patterns. The code analyzer evaluates a topological representation of the computer code using the machine learning model to identify a potential vulnerability. The potential vulnerability corresponds to a portion of the computer code where an attack can be used to bypass a security procedure. The code analyzer tests the potential vulnerability by emulating a fault injection during execution of the portion of the computer code. Upon confirming that the potential vulnerability can be exploited via a fault injection, the code analyzer generates a training vector that characterizes a vulnerable programming pattern associated with the portion of the computer code. The training vector can be used to further train the machine learning model.