Abstract: The disclosure provides, in various embodiments, polypeptides (e.g., antibodies and antigen binding fragments thereof) that specifically bind to a thymic stromal lymphopoietin (TSLP) (e.g., a full-length human TSLP). The disclosure also provides, in various embodiments, fusion proteins comprising one or more of the polypeptides, polynucleotides encoding the polypeptides, vectors and host cells suitable for expressing the polypeptides, and methods for treating a TSLP-associated disease or condition.

Abstract: A heart valve therapy system including a delivery device and a stented valve. The delivery device includes an outer sheath, an inner shaft, an optional hub assembly, and a plurality of tethers. In a delivery state, a stent frame of the prosthesis is crimped over the inner shaft and maintained in a compressed condition by the outer sheath. The tethers are connected to the stent frame. In a partial deployment state, the outer sheath is at least partially withdrawn, allowing the stent frame to self-expand. Tension in the tethers prevents the stent frame from rapidly expanding and optionally allowing recapture. Upon completion of the stent frame expansion, the tethers are withdrawn.

Abstract: An identity of a customer within an establishment is authenticated using a variety of captured biometric features obtained from sensors and/or video. Video capturing movements/interactions of the customer is analyzed in real time to identify the customer's behavior and actions. Any staff of the establishment who interact with the customer are identified from the video. Transaction data and other data retained for the customer by the establishment are aggregated and linked with the video and the customer identity. The linked data is analyzed in combination with the customer behavior and actions to determine responses within the establishment to customer-initiated transactions. In an embodiment, the customer is authorized to perform at least one transaction within the establishment based on the authenticated identity and linked data without a presentation by the customer of an identification card, a Personal Identification Number (PIN), a password and/or verification by a staff member.

Abstract: In some embodiments, a medical device delivery system includes a catheter and a retainer. The retainer can be engaged with the medical device to restrain relative movement of the medical device in one or more axial and/or radial directions. A variety of retainers and retainer systems are disclosed, many of which can reliably disengage the medical device from the retainer. Methods for using the medical device delivery system are also described.

Abstract: A mapping of a physical environment and objects within the physical environment are generated. The objects are tracked within the physical environment and any transaction data associated with transaction correlated with the objects. The objects, relationships between each object, and any transaction data are evaluated to assign a risk score or an assessment needs score. Each score is mapped to one or more unique visual features and a heat map is generated that depicts the objects within the physical environment along with their visual features. The heat map is continuously updated in real time as scores change for the objects and the visual features change. The heat map is rendered within an interface of a device operated or worn by an attendant to assist the attendant in quickly ascertaining any risk of loss, any risk of threat, and/or any customer in need of assistance within the physical environment.

Abstract: Security video is captured when one or more individuals are detected as entering a secure area. Actions of the one or more individuals are monitored based on security policies associated with the secure area. Identifiers for the one or more individuals and action identifiers for the actions are recorded in a security log while the one or more individuals remain in the secure area. The security video is stopped when the individuals are detected as exiting the secure area. The security video is linked to entries recorded in the security log. In an embodiment, when a non-compliant action is detected from the actions based on the security policies, a real-time alert is raised, and/or the security video is streamed in real time to a security monitor.

Abstract: Cash trapping at an Automated Teller Machine (ATM) is detected in real time. One or more images from one or more cameras are analyzed. The camera(s) is/are focused overhead of the ATM or on a cash slot of a dispense module for the ATM. The images are analyzed for determining one or more of whether the dispenser module is authentic, whether the cash slot opened or did not open when it should have opened for a cash withdraw, whether visual features of the dispense module have changed over a configurable period of time, and whether hands, gestures, and actions of a person present at the ATM indicate that cash trapping is taking place at the ATM. When cash trapping is detected at the ATM a variety of automated actions are processed, such as shutting down the dispense module, shutting down the ATM, notifying a financial institution, and/or notifying legal authorities.

Abstract: An item return transaction for an item is identified at a transaction terminal. The item is authenticated using multiple factors at least some of which are independent of item code identification for the item. A fraud score is calculated based on the multiple factors, item code identification, and data that is specific to a customer associated with the transaction, specific to the item, specific to a store associated with the transaction terminal, and specific to a retailer associated with the store. The fraud score and a customer-return grade for the customer are processed to determine whether the transaction can complete at the terminal without assistance or whether the transaction is to be held in abeyance for an audit (onsite audit or remote network-based audit). In an embodiment, the t terminal is a Self-Service Terminal (SST) and the transaction is a self-item return transaction conducted by a customer at the terminal.

Abstract: Item images and item information for an item identified as being associated with a potential theft during a transaction at a transaction terminal are sent in real time to an alert controller of a management terminal. The item images and item information with transaction details are presented on a display for resolution by a clerk operating the management terminal. A timer is also set and a confidence score calculated representing a confidence level that the item is the subject of theft. When the timer expires and there is still no resolution provided by the clerk a decision is made as to whether to interrupt the transaction processing on the transaction terminal for assistance or whether to permit the transaction to complete on the transaction terminal based on the calculated confidence score.

Abstract: Visual features of a vehicle, a vehicle's orientation with respect to a transaction terminal, and an individual associated with the vehicle are derived from video captured of the terminal and a surrounding area of the terminal. Additional information associated with brute force attacks in a location associated with the terminal are obtained as additional features. The visual features and the additional features are provided as input to a trained Machine-Learning Model (MLM) and the MLM provides as output a confidence value representing a prediction as to whether the current vehicle and the current individual are potentially about to engage in a brute force attack on the terminal. When the confidence value exceeds a threshold value, enhanced feature detection is enabled on the video, external systems are notified, and an incident packet of information is assembled.

Abstract: Payment card slot tampering at a transaction terminal is detected in real time. One or more images from one or more cameras are analyzed. The camera(s) is/are focused overhead of the terminal on an area adjacent to and in front of a card slot for a card reader of the terminal. The images are analyzed for determining whether hands of arms for an operator of the terminal are performing actions that indicate the operator may be attempting to install a card skimmer/shimmer into the card slot and/or attempting to remove an existing skimmer/shimmer from the card slot. When card slot tampering event is detected at the terminal a variety of automated actions are processed, such as shutting down the card reader, shutting down the terminal, confiscating any payment card inserted into the card slot, notifying a financial institution, and/or notifying legal authorities.

Abstract: Methods are provided in which a recording service obtains a multimedia stream along with metadata of an established collaboration session in which at least two participants collaborate via respective user devices. The recording service identifies each of the at least two participants of the established collaboration session based on the metadata and obtains an individual recording privacy control associated with each of the at least two participants based on identifying. The recording service further generates a recording of the established collaboration session restricted by the individual recording privacy control for each of the at least two participants.

Abstract: An identity of a customer within an establishment is authenticated using a variety of captured biometric features obtained from sensors and/or video. Video capturing movements/interactions of the customer is analyzed in real time to identify the customer's behavior and actions. Any staff of the establishment who interact with the customer are identified from the video. Transaction data and other data retained for the customer by the establishment are aggregated and linked with the video and the customer identity. The linked data is analyzed in combination with the customer behavior and actions to determine responses within the establishment to customer-initiated transactions. In an embodiment, the customer is authorized to perform at least one transaction within the establishment based on the authenticated identity and linked data without a presentation by the customer of an identification card, a Personal Identification Number (PIN), a password and/or verification by a staff member.

Abstract: Methods are provided in which a recording service obtains a multimedia stream along with metadata of an established collaboration session in which at least two participants collaborate via respective user devices. The recording service identifies each of the at least two participants of the established collaboration session based on the metadata and obtains an individual recording privacy control associated with each of the at least two participants based on identifying. The recording service further generates a recording of the established collaboration session restricted by the individual recording privacy control for each of the at least two participants.

Abstract: Payment card slot tampering at a transaction terminal is detected in real time. One or more images from one or more cameras are analyzed. The camera(s) is/are focused overhead of the terminal on an area adjacent to and in front of a card slot for a card reader of the terminal. The images are analyzed for determining whether hands of arms for an operator of the terminal are performing actions that indicate the operator may be attempting to install a card skimmer/shimmer into the card slot and/or attempting to remove an existing skimmer/shimmer from the card slot. When card slot tampering event is detected at the terminal a variety of automated actions are processed, such as shutting down the card reader, shutting down the terminal, confiscating any payment card inserted into the card slot, notifying a financial institution, and/or notifying legal authorities.

Abstract: Visual features of a vehicle, a vehicle's orientation with respect to a transaction terminal, and an individual associated with the vehicle are derived from video captured of the terminal and a surrounding area of the terminal. Additional information associated with brute force attacks in a location associated with the terminal are obtained as additional features. The visual features and the additional features are provided as input to a trained Machine-Learning Model (MLM) and the MLM provides as output a confidence value representing a prediction as to whether the current vehicle and the current individual are potentially about to engage in a brute force attack on the terminal. When the confidence value exceeds a threshold value, enhanced feature detection is enabled on the video, external systems are notified, and an incident packet of information is assembled.

Abstract: A cross-entity and cross-retailer platform is provided that captures transaction data (and/or browser history data associated with online browser-based transactions), indexes, and stores the data in a cloud-accessible data store. A cloud service is provided that custom processes retailer and entity-defined workflows based on purchase transactions using the data store. The service discovers and updates trends and patterns associated with item sales for a given retailer or for a given entity across channels associated with in-store and online item sales. The trends and patterns are dynamically reported to the corresponding entity or the corresponding retailer. The entities may comprise manufacturers of an item, a supplier of the item, a distributor of the item, and a Consumer Packaging Goods (CPG) company of the item.

Abstract: A cross-entity and cross-retailer platform is provided that captures transaction data, indexes, and stores the data in a cloud-accessible data store. A service is provided that custom processes retailer and entity-defined workflows based on purchase transactions using the data store. The service also generates and maintains correlations between items, the transactions, geographical locations, retailers, and stores of the retailers. The correlations are provided as timely retail recommendations to the retailers and entities for suggested changes that are likely to optimize purchase transactions. The entities may comprise manufacturers of an item, a supplier of the item, a distributor of the item, and a Consumer Packaging Goods (CPG) company of the item.

Abstract: A method includes generating, by a sensor, physiological data associated with a user during a sleep session. The method also includes processing, by an electronic device including one or more processors, the generated physiological data to distinguish between on-therapy data and off-therapy data. The on-therapy data is the generated physiological data while a respiratory therapy system is coupled to the user and supplies pressurized air to an airway of the user. The off-therapy data is the generated physiological data while the respiratory therapy system is not supplying pressurized air to the airway of the user. The method also includes determining, by the electronic device, a sleep measure based at least in part on the off-therapy data.

Abstract: An item return transaction for an item is identified at a transaction terminal. The item is authenticated using multiple factors at least some of which are independent of item code identification for the item. A fraud score is calculated based on the multiple factors, item code identification, and data that is specific to a customer associated with the transaction, specific to the item, specific to a store associated with the transaction terminal, and specific to a retailer associated with the store. The fraud score and a customer-return grade for the customer are processed to determine whether the transaction can complete at the terminal without assistance or whether the transaction is to be held in abeyance for an audit (onsite audit or remote network-based audit). In an embodiment, the t terminal is a Self-Service Terminal (SST) and the transaction is a self-item return transaction conducted by a customer at the terminal.