Abstract: A mattress cover includes a first, face layer, a second, back layer, and third, inlay layer between the face layer and the back layer. The inlay layer is composed of a flame-retardant material. The face layer is attached to the back layer. The inlay layer is not attached to the face layer and the back layer.

Abstract: Systems and methods for operating a wireless network using rate-based packet windowing with implicit synchronization. One example method includes assigning a packet sequence number to each of a first plurality of data packets based on a time synchronization for a data link layer for a network context. The method further includes transmitting, via a transceiver, the first plurality of data packets for the network context during a rate-based packet window at or below a maximum packet transmission rate based on a time period and the rate-based packet window.

Abstract: A mattress cover includes a plurality of fire-retardant fibers and a plurality of non-fire-retardant fibers. The plurality of fire-retardant fibers has a first color. The plurality of non-fire-retardant fibers has a second color. The first color is different from the second color.

Abstract: A facility for procuring and analyzing information about an anatomical surface feature from a caregiver that is usable to generate an assessment of the surface feature is described. The facility displays information about the surface feature used in the assessment of the surface feature. The facility obtains user input and/or data generated by an image capture device to assess the surface feature or update an existing assessment of the surface feature.

Abstract: Systems and methods for operating a wireless network using rolling window repetition. One example wireless base station includes an electronic processor and a transceiver coupled to the electronic processor. The electronic processor is configured to, for each of a plurality of sets of information, determine a relevancy period. The electronic processor is configured to, for a first broadcast time, generate a broadcast packet that includes sets of information selected from the plurality of sets of information based on the relevancy periods. The electronic processor is configured to transmit, via the transceiver, the broadcast packet.

Abstract: A mattress incudes a core and an encasement sized and shaped to receive the core. The encasement includes a first end, a second end, a first side, a second side, an upper portion, a lower portion, an interior portion, an opening at the first end and in communication with the interior portion, and a flap at the first end. The flap is moveable from an open position, in which the flap is outside of the opening, and a closed position, in which the flap is within the opening. The flap overlays at least a portion of the core when the flap is in its closed position.

Abstract: An apparatus includes a memory and a processor. The memory stores first and second machine learning algorithms. The processor receives, from a user, voice signals associated with an information request and converts them into text. The processor uses the first machine learning algorithm to determine, based on the text, to automatically generate a reply to the request, rather than transmitting the request to an agent. The processor uses the second machine learning algorithm to generate, based on the set of text, the reply, which it transmits to the user. The processor receives feedback associated with the reply, indicating that the reply does or does not include the requested information. The processor uses the feedback to update either or both machine learning algorithms.

Abstract: An electric machine comprising: a stator assembly; a rotor assembly; and a support body. The rotor assembly comprises a shaft to which is mounted a first bearing and a second bearing either side of a permanent magnet, and the support body comprises first and second bearing seats to which the bearings of the rotor assembly are mounted, wherein the first bearing is mounted to the first bearing seat by adhesive, and the second bearing is soft-mounted to the second bearing seat by an o-ring.

Abstract: A mattress cover includes a first, face layer, a second, back layer, and third, inlay layer between the face layer and the back layer. The inlay layer is composed of a flame-retardant material. The face layer is attached to the back layer. The inlay layer is not attached to the face layer and the back layer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adaptive educational activities are disclosed. In one aspect, a computer-implemented method includes receiving, by a computing device that is configured to grant a given user access to a first group of activity modules based on a classification of the given user, user data and classification data. The method includes granting the user access to a first activity module and a second activity module, and preventing the user from accessing a third activity module. The method includes receiving interaction data based on the user interacting with the first activity module, and determining that the interaction data indicates an improper classification of the user. Based on the interaction data, the method includes maintaining the classification of the user, granting the user access to a fourth activity module, and preventing the user from accessing the second activity module.

Abstract: A mattress cover includes a first, face layer, a second, back layer, and third, inlay layer between the face layer and the back layer. The inlay layer is composed of a flame-retardant material. The face layer is attached to the back layer. The inlay layer is not attached to the face layer and the back layer.

Abstract: A facility for procuring and analyzing information about an anatomical surface feature from a caregiver that is usable to generate an assessment of the surface feature is described. The facility displays information about the surface feature used in the assessment of the surface feature. The facility obtains user input and/or data generated by an image capture device to assess the surface feature or update an existing assessment of the surface feature.

Abstract: A flame-retardant mattress cover, including a back layer; an inlay layer, where the inlay layer has an inherently flame-retardant material; and a face layer, where the back layer is configured to be closer to a mattress core covered by the flame-retardant mattress cover than the inlay layer and the face layer, where the inlay layer is between the back layer and the face layer.

Abstract: An apparatus includes a memory and a processor. The memory stores first and second machine learning algorithms. The processor receives, from a user, voice signals associated with an information request and converts them into text. The processor uses the first machine learning algorithm to determine, based on the text, to automatically generate a reply to the request, rather than transmitting the request to an agent. The processor uses the second machine learning algorithm to generate, based on the set of text, the reply, which it transmits to the user. The processor receives feedback associated with the reply, indicating that the reply does or does not include the requested information. The processor uses the feedback to update either or both machine learning algorithms.

Abstract: A utility device within a utility system and including a power source, a communication interface, and one or more electronic processors. The processors are configured to periodically transition from a standby mode into a receive mode and monitor for a broadcast message while in the receive mode. The electronic processors are also configured to receive a broadcast message via the communication module while in the receive mode and analyze a header of the received broadcast message to determine whether the received broadcast message is relevant. The broadcast message is determined to be relevant based on the received broadcast message including one or more data packets associated with a unique network ID of the utility device as defined in the header. The electronic processors are also configured to resume operation in the standby mode in response to determining that the received broadcast message is not relevant.

Abstract: A utility device within a utility system and including a power source, a communication interface, and one or more electronic processors. The processors are configured to periodically transition from a standby mode into a receive mode and monitor for a broadcast message while in the receive mode. The electronic processors are also configured to receive a broadcast message via the communication module while in the receive mode and analyze a header of the received broadcast message to determine whether any data packets within the received broadcast message is relevant. The data packets within the broadcast message are determined to be relevant based on whether the received broadcast message includes one or more data packets within one or more information regions associated with a device type of the utility device. The electronic processors are also configured to resume operation in the standby mode in response to determining that the received broadcast message is not relevant.

Abstract: An apparatus includes a memory and a processor. The memory stores first and second machine learning algorithms. The processor receives, from a user, voice signals associated with an information request and converts them into text. The processor uses the first machine learning algorithm to determine, based on the text, to automatically generate a reply to the request, rather than transmitting the request to an agent. This determination indicates that the text is associated with a probability that the automatically generated reply includes the requested information that is greater than a threshold. The processor uses the second machine learning algorithm to generate, based on the set of text, the reply, which it transmits to the user. The processor receives feedback associated with the reply, indicating that the reply does or does not include the requested information. The processor uses the feedback to update either or both machine learning algorithms.

Abstract: A method to perform continuous-wave NMR measurements of nuclear magnetization at high magnetic fields, above 2.5 T, without analog down-mixing is described. An FPGA controls a digital clock pulse which is used to stimulate a resonant circuit and provide a reference signal. An algorithm determines the real portion of a resonant circuit signal near the Larmor frequency of the species of interest using only two measurements of the waveform per cycle. The FPGA automatically alters a variable capacitance to tune the resonant circuit to the Larmor frequency.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adaptive educational activities are disclosed. In one aspect, a computer-implemented method includes receiving, by a computing device that is configured to grant a given user access to a first group of activity modules based on a classification of the given user, user data and classification data. The method includes granting the user access to a first activity module and a second activity module, and preventing the user from accessing a third activity module. The method includes receiving interaction data based on the user interacting with the first activity module, and determining that the interaction data indicates an improper classification of the user. Based on the interaction data, the method includes maintaining the classification of the user, granting the user access to a fourth activity module, and preventing the user from accessing the second activity module.

Abstract: A fabric includes a yarn having a core and a sheath. The core is composed of spandex. The sheath includes a plurality of fire-retardant fibers which are spun around the core in a spiral manner. The fabric does not include any glass.