Abstract: Disclosed herein are female external catheters (“FECs”) and methods thereof. For example, an FEC can include a catheter body, a catheter back, and a connector. The catheter body can include a cavity extending along a length of the catheter body. The cavity is configured to open toward a patient. The catheter back can include a connector hole aligned with an end portion of the cavity. The connector hole can be configured to open away from the patient. The connector is disposed in the connector hole. The connector can include a sump configured to collect urine from the end portion of the cavity for withdrawal from the FEC. In another example, a method of an FEC can includes a method of using the FEC.

Abstract: Described is a method, apparatus and system for controlling one or more security sirens of a security system. A security system controller receives alarm signals from security sensors of the security system. In response, the security system controller determines one or more conditions related to the security system and then generates one or more siren control signals that are used to control audible alerts generated by one or more of the security sirens.

Abstract: The present application pertains to a method and system for coiled tubing injector chain management on a coiled tubing unit. Advances in tubing technology combined with lack of operator training have been detrimental to injector longevity. Optimizing chain and equipment life requires operating parameter control. This method utilizes feedback from loads on the injector chassis to adjust chain traction and tension to optimal levels to extend equipment life.

Abstract: Provided herein are methods for preventing or treating antibiotic induced dysbiosis in a patient by administering to the subject a composition comprising a micro sphere, a bio film-generating probiotic bacterium and a prebiotic, wherein the prebiotic comprises a nutritional supplementation for the probiotic bacterium.

Abstract: A person-detection device that automatically configures itself as a motion sensor or an occupancy sensor upon receiving a command from a home security panel or home automation hub.

Abstract: A base station used in a home security or home automation/control system is described. The base station is configured to automatically accept new sensors or control modules by placing such new sensors or control modules in proximity to the base station.

Abstract: A container assembly for collecting a fluid specimen including a collection container having a first end, a second end, and a sidewall extending therebetween and defining a chamber for receiving the fluid specimen. The container assembly may include a container lid couplable to the collection container to at least partially close the first end thereof. The container lid may include a sealing interface configured to at least partially contact the collection container when the container lid is coupled to the collection container. The sealing interface may include a textured sealing surface region configured to allow air into or out of the container assembly when the container lid is coupled to the collection container, while maintaining a substantially fluid-tight seal between the container lid and the collection container.

Abstract: Provided herein are methods and probiotic compositions for treating or preventing a disease or neurodevelopmental deficiency in a subject in need thereof using the compositions. Aspects and embodiments of this technology combine the health benefits of probiotic bacteria with prebiotic substances to help stimulate the exclusive growth of the probiotic species and, in one aspect, provide the bacteria in the form of a biofilm on a biocompatible microsphere.

Abstract: In one embodiment, a method conducted by a movable barrier gateway device is disclosed for controlling a movable barrier, comprising receiving, by a communication interface, a remote command from a remote control device to move the movable barrier, the remote command sent over a network, delaying transmission of a signal to a movable barrier controller to move the movable barrier, by a processor, for a predetermined time period after the remote command is received, detecting movement of the movable barrier within the predetermined time period by a barrier movement detector, and ignoring the remote command by the processor in response to detecting movement of the movable barrier within the predetermined time period.

Abstract: Described is a method, apparatus and system for controlling one or more security sirens of a security system. A security system controller receives alarm signals from security sensors of the security system. In response, the security system controller determines one or more conditions related to the security system and then generates one or more siren control signals that are used to control audible alerts generated by one or more of the security sirens.

Abstract: A method and apparatus for monitoring a door or a window is disclosed. In one embodiment, a method is described, comprising receiving, by a processor, an electronic signal from a motion sensor in response to movement of the door or window, determining a direction of movement of the door or window from the electronic signal by the processor, comparing the direction of movement to a predetermined direction by the processor, detecting, by the processor, an alarm condition of the door or window if the electronic signal indicates that the door or window is being opened, and transmitting, by a transmitter coupled to the processor, an alarm signal when the alarm condition has been detected.

Abstract: In one embodiment, a method conducted by a movable barrier gateway device is disclosed for controlling a movable barrier, comprising receiving, by a communication interface, a remote command from a remote control device to move the movable barrier, the remote command sent over a network, delaying transmission of a signal to a movable barrier controller to move the movable barrier, by a processor, for a predetermined time period after the remote command is received, detecting movement of the movable barrier within the predetermined time period by a barrier movement detector, and ignoring the remote command by the processor in response to detecting movement of the movable barrier within the predetermined time period.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model. In one aspect, a method comprises: generating a set of candidate batches of model inputs; generating, for each candidate batch of model inputs, a respective score for the candidate batch of model inputs that characterizes: (i) an uncertainty of the machine learning model in generating predicted labels for the model inputs in the candidate batch of model inputs, and (ii) a diversity of the model inputs in the candidate batch of model inputs; and selecting the current batch of model inputs from the set of candidate batches of model inputs based on the scores; and training the machine learning model on at least the current batch of model inputs.

Abstract: A system and a method include a heating layer including perforations extending from a first surface to a second surface opposite from the first surface. The perforations provide acoustic paths. The heating layer is configured to provide electrically resistive heating to a component. An acoustic layer can be coupled to the heating layer. The perforations extend to the acoustic layer.

Abstract: A person-detection device that automatically configures itself as a motion sensor or an occupancy sensor upon receiving a command from a home security panel or home automation hub.

Abstract: A high throughput system for depositing seed into germination wells of a germination tray. The system comprises a seed distribution subsystem, and an individual seed transfer subsystem structured and operable to transfer individual seeds from wells in a seed storage tray to the seed deposition subsystem. The system additionally comprises a bulk seed transfer subsystem structured and operable to singulate a plurality of bulk seeds and transfer each singulated seed to the seed deposition subsystem, wherein the seed distribution subsystem structured and operable to receive seeds from the individual seed transfer subsystem and the bulk seed transfer subsystem, and deposit the seeds into wells of the seed germination tray.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model. In one aspect, a method comprises: generating a set of candidate batches of model inputs; generating, for each candidate batch of model inputs, a respective score for the candidate batch of model inputs that characterizes: (i) an uncertainty of the machine learning model in generating predicted labels for the model inputs in the candidate batch of model inputs, and (ii) a diversity of the model inputs in the candidate batch of model inputs; and selecting the current batch of model inputs from the set of candidate batches of model inputs based on the scores; and training the machine learning model on at least the current batch of model inputs.

Abstract: The present application pertains to an automated control system for controlling and adjusting reel tension on a coiled tubing unit. The system may comprise real time data received from one or more sensors, input by an operator, or calculated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a machine learning model. In one aspect, a method comprises: generating a set of candidate batches of model inputs; generating, for each candidate batch of model inputs, a respective score for the candidate batch of model inputs that characterizes: (i) an uncertainty of the machine learning model in generating predicted labels for the model inputs in the candidate batch of model inputs, and (ii) a diversity of the model inputs in the candidate batch of model inputs; and selecting the current batch of model inputs from the set of candidate batches of model inputs based on the scores; and training the machine learning model on at least the current batch of model inputs.