Abstract: A method includes translating an instruction, received via a network interface, from a home control system to a command for an architectural covering. The method further includes transmitting the command to the architectural covering via a wireless covering interface. The method further includes estimating a position of a covering of the architectural covering. The method further includes transmitting the position to the home control system.

Abstract: Methods and systems for detecting influence operations are provided. In some examples, methods include receiving a plurality of content items, and providing each content item of the plurality of content items to a primary machine-learning model which is trained to determine whether one or more content items are associated with one or more predefined influence operations. The method further includes receiving, from the primary machine-learning model, an indication that at least one content item of the plurality of content items is associated with the one or more predefined influence operations, and providing the at least one content item to at least one secondary machine-learning model which is trained to determine whether one or more content items are associated with one or more predefined diverse narratives for the one or more predefined influence operations. In some examples, each predefined diverse narrative corresponds to a diagnostic frame and/or a prognostic frame.

Abstract: An airtrap for a medical or physiological fluid in one embodiment includes a conical housing having a radius that increases from its top to its bottom when the housing is positioned for operation; a medical or physiological fluid inlet located at an upper portion of the conical housing; a medical or physiological fluid outlet located at a lower portion of the conical housing, the inlet and the outlet positioned and arranged so that medical or physiological fluid spirals in an increasing arc around an inside of the conical housing downwardly from the inlet to the outlet; and a gas collection area located at an upper portion of the conical housing. In another embodiment, the airtrap is shaped like a seahorse having a head section and a tail section. Any of the airtraps herein may be used for example in blood sets, peritoneal dialysis cassette tubing, and drug delivery sets.

Abstract: Methods and apparatus to control architectural coverings are disclosed. An example apparatus includes a network interface to communicatively couple the apparatus with a repository via a network, a wireless covering interface to communicatively couple the apparatus with a first architectural covering, a covering enumerator to determine information about the first architectural covering, and a software collector to: retrieve software for the first architectural covering from a repository via the network interface, transmit an advertisement of the software to the first architectural covering, and in response to receiving a request for the software from the first architectural covering, transmit the software to the first architectural covering.

Abstract: An airtrap for a medical or physiological fluid in one embodiment includes a conical housing having a radius that increases from its top to its bottom when the housing is positioned for operation; a medical or physiological fluid inlet located at an upper portion of the conical housing; a medical or physiological fluid outlet located at a lower portion of the conical housing, the inlet and the outlet positioned and arranged so that medical or physiological fluid spirals in an increasing arc around an inside of the conical housing downwardly from the inlet to the outlet; and a gas collection area located at an upper portion of the conical housing. In another embodiment, the airtrap is shaped like a seahorse having a head section and a tail section. Any of the airtraps herein may be used for example in blood sets, peritoneal dialysis cassette tubing, and drug delivery sets.

Abstract: A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.

Abstract: A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.

Abstract: A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.

Abstract: A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.

Abstract: Systems, apparatuses, and methods may provide for an eventually-consistent distributed caching mechanism for database systems. As an example, the system may include a recently updated objects (RUO) manager, which may store object identifiers of recently updated objects and RUO time-to-live values of the object identifiers. As servers read objects from the cache or write objects into the cache, the servers may also check the RUO manager to determine if the object has been updated recently enough to be at risk of being stale or outdated. If so, the servers may invalidate the object stored at the cache as it may be stale, which results in eventual consistency across the distributed database system.

Abstract: A plurality of tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw). The generated multi-dimensional motion curve is used to discover cross correlations between play action motions of the in-the-field sports participant and real-world sports results.

Abstract: A plurality of high speed tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the high speed tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw).

Abstract: A peritoneal dialysis catheter includes: a catheter tube defining a lumen for carrying peritoneal dialysis fluid to at least one aperture located at or near a distal end of the lumen; at least one cuff located along the outside of the catheter tube; an access site proximally spaced from the at least one cuff, the access site allowing an antimicrobial agent to be introduced into the catheter tube; a reservoir operable with the catheter tube and in fluid communication with the access site, the reservoir storing an amount of the antimicrobial agent received from the access site after an antimicrobial agent introducer is removed from the access site; and a delivery area of the catheter tube in fluid communication with the reservoir, the delivery area positioned so as to target delivery of the antimicrobial agent to the at least one cuff or other desired location along the catheter tube.

Abstract: Systems, apparatuses, and methods may provide for an eventually-consistent distributed caching mechanism for database systems. As an example, the system may include a recently updated objects (RUO) manager, which may store object identifiers of recently updated objects and RUO time-to-live values of the object identifiers. As servers read objects from the cache or write objects into the cache, the servers may also check the RUO manager to determine if the object has been updated recently enough to be at risk of being stale or outdated. If so, the servers may invalidate the object stored at the cache as it may be stale, which results in eventual consistency across the distributed database system.

Abstract: Systems, apparatuses, and methods may provide for an eventually-consistent distributed caching mechanism for database systems. As an example, the system may include a recently updated objects (RUO) manager, which may store object identifiers of recently updated objects and RUO time-to-live values of the object identifiers. As servers read objects from the cache or write objects into the cache, the servers may also check the RUO manager to determine if the object has been updated recently enough to be at risk of being stale or outdated. If so, the servers may invalidate the object stored at the cache as it may be stale, which results in eventual consistency across the distributed database system.

Abstract: A peritoneal dialysis catheter includes: a catheter tube defining a lumen for carrying peritoneal dialysis fluid to at least one aperture located at or near a distal end of the lumen; at least one cuff located along the outside of the catheter tube; an access site proximally spaced from the at least one cuff, the access site allowing an antimicrobial agent to be introduced into the catheter tube; a reservoir operable with the catheter tube and in fluid communication with the access site, the reservoir storing an amount of the antimicrobial agent received from the access site after an antimicrobial agent introducer is removed from the access site; and a delivery area of the catheter tube in fluid communication with the reservoir, the delivery area positioned so as to target delivery of the antimicrobial agent to the at least one cuff or other desired location along the catheter tube.

Abstract: A plurality of high speed tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the high speed tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw).

Abstract: An airtrap for a medical or physiological fluid in one embodiment includes a conical housing having a radius that increases from its top to its bottom when the housing is positioned for operation; a medical or physiological fluid inlet located at an upper portion of the conical housing; a medical or physiological fluid outlet located at a lower portion of the conical housing, the inlet and the outlet positioned and arranged so that medical or physiological fluid spirals in an increasing arc around an inside of the conical housing downwardly from the inlet to the outlet; and a gas collection area located at an upper portion of the conical housing. In another embodiment, the airtrap is shaped like a seahorse having a head section and a tail section. Any of the airtraps herein may be used for example in blood sets, peritoneal dialysis cassette tubing, and drug delivery sets.

Abstract: A plurality of high speed tracking cameras is pointed towards a routine hovering area of an in-the-field sports participant who routinely hovers about that area. Spots within the hovering area are registered relative to a predetermined multi-dimensional coordinates reference frame (e.g., Xw, Yw, Zw, Tw) such that two-dimensional coordinates of 2D images captured by the high speed tracking cameras can be converted to multi-dimensional coordinates of the reference frame. A body part recognizing unit recognizes 2D locations of a specific body part in the 2D captured images and a mapping unit maps them into the multi-dimensional coordinates of the reference frame. A multi-dimensional curve generator then generates a multi-dimensional motion curve describing motion of the body part based on the mapped coordinates (e.g., Xw, Yw, Zw, Tw).

Abstract: An airtrap for a medical or physiological fluid in one embodiment includes a conical housing having a radius that increases from its top to its bottom when the housing is positioned for operation; a medical or physiological fluid inlet located at an upper portion of the conical housing; a medical or physiological fluid outlet located at a lower portion of the conical housing, the inlet and the outlet positioned and arranged so that medical or physiological fluid spirals in an increasing arc around an inside of the conical housing downwardly from the inlet to the outlet; and a gas collection area located at an upper portion of the conical housing. In another embodiment, the airtrap is shaped like a seahorse having a head section and a tail section. Any of the airtraps herein may be used for example in blood sets, peritoneal dialysis cassette tubing, and drug delivery sets.