Abstract: A wireless user device wirelessly receives an indication of selected resource blocks in a frequency channel that are selected for radio signal measurement and unselected resource blocks in the frequency channel that are unselected for the radio signal measurement. The wireless user device wirelessly measures a radio signal metric for the selected resource blocks in the radio channel and does not measure the radio signal metric for the unselected resource blocks in the radio channel. The wireless user device wirelessly transfers the radio signal metric for the selected resource blocks in the radio channel. The wireless user device wirelessly receives a schedule for the selected resource blocks in the radio channel. The wireless user device wirelessly receives data over the selected resource blocks in the radio channel based on the schedule.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: In a wireless access node, Packet Data Convergence Protocol (PDCP) circuitry identifies a noise metric for the wireless access node. The PDCP circuitry receives Downlink (DL) user data for User Equipment (UE). The PDCP circuitry allocates a first portion of the DL data and a second portion of the DL data based on the noise metric. The PDCP circuitry transfers the first portion of the DL data over first Radio Link Control (RLC) circuitry to first MAC circuitry. The PDCP circuitry transfers the second portion of the DL data over second RLC circuitry to second MAC circuitry. The first MAC circuitry schedules wireless delivery of the first portion of the DL data and transfers the first portion of the DL data to the UE over first Physical Layer (PHY) circuitry. The second MAC circuitry schedules wireless delivery of the second portion of the DL data and transfers the second portion of the DL data to the UE over second PHY circuitry.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: A wireless user device wirelessly receives an indication of selected resource blocks in a frequency channel that are selected for radio signal measurement and unselected resource blocks in the frequency channel that are unselected for the radio signal measurement. The wireless user device wirelessly measures a radio signal metric for the selected resource blocks in the radio channel and does not measure the radio signal metric for the unselected resource blocks in the radio channel. The wireless user device wirelessly transfers the radio signal metric for the selected resource blocks in the radio channel. The wireless user device wirelessly receives a schedule for the selected resource blocks in the radio channel. The wireless user device wirelessly receives data over the selected resource blocks in the radio channel based on the schedule.

Abstract: A Radio Access Network (RAN) wirelessly serves a User Equipment (UE) over a frequency channel based on a radio signal metric. The RAN comprises baseband circuitry and a radio. The baseband circuitry determines when multiple Physical Cell Identifiers (PCIs) are available to serve the UE. In response, the baseband circuitry selects some resource blocks in the frequency channel and generates a UE instruction to measure the radio signal metric for the selected resource blocks. The radio receives the UE instruction for the baseband circuitry and wirelessly transfers the UE instruction to the UE. The radio wirelessly receives a measurement report from the UE that indicates the radio signal metric for the selected resource blocks. The radio transfers the measurement report to the baseband circuitry. The baseband circuitry receives the measurement report and responsively schedules the UE in the selected resource blocks based on the radio signal metric.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naive Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: A Radio Access Network (RAN) wirelessly serves a User Equipment (UE) over a frequency channel based on a radio signal metric. The RAN comprises baseband circuitry and a radio. The baseband circuitry determines when multiple Physical Cell Identifiers (PCIs) are available to serve the UE. In response, the baseband circuitry selects some resource blocks in the frequency channel and generates a UE instruction to measure the radio signal metric for the selected resource blocks. The radio receives the UE instruction for the baseband circuitry and wirelessly transfers the UE instruction to the UE. The radio wirelessly receives a measurement report from the UE that indicates the radio signal metric for the selected resource blocks. The radio transfers the measurement report to the baseband circuitry. The baseband circuitry receives the measurement report and responsively schedules the UE in the selected resource blocks based on the radio signal metric.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: A drainage bag is provided for a thermal control unit adapted to deliver temperature-controlled liquid to a patient in order to control the patient's temperature. The drainage bag is used to hold and transport the liquid when the liquid inside the thermal control unit is changed. The drainage bag includes a bottom layer, a top layer sealed thereto, and a float secured to the top layer that is positioned adjacent an opening in the top layer. As the liquid from the thermal control unit drains into the opening in the top layer, the liquid lifts the float and the float lifts the top layer of the bag. The bag thereby expands its volume to accommodate the liquid from the thermal control unit. The bag may further be designed to be carried without sealing the opening and without spilling the liquid. A method for using the bag is also disclosed.

Abstract: A non-linearity correction circuit includes a non-linearity coefficient estimation circuit. The non-linearity coefficient estimation circuit includes a data capture circuit, a non-linearity term generation circuit, a time-to-frequency conversion circuit, a bin identification circuit, a residual non-linearity conversion circuit, and a non-linearity coefficient generation circuit. The non-linearity term generation circuit is coupled to the data capture circuit. The time-to-frequency conversion circuit is coupled to the data capture circuit and the non-linearity term generation circuit. The bin identification circuit is coupled to the time-to-frequency conversion circuit. The residual non-linearity conversion circuit is coupled to the bin identification circuit. The non-linearity coefficient generation circuit is coupled to the bin identification circuit and the residual non-linearity conversion circuit.

Abstract: In a wireless access node, Packet Data Convergence Protocol (PDCP) circuitry identifies a noise metric for the wireless access node. The PDCP circuitry receives Downlink (DL) user data for User Equipment (UE). The PDCP circuitry allocates a first portion of the DL data and a second portion of the DL data based on the noise metric. The PDCP circuitry transfers the first portion of the DL data over first Radio Link Control (RLC) circuitry to first MAC circuitry. The PDCP circuitry transfers the second portion of the DL data over second RLC circuitry to second MAC circuitry. The first MAC circuitry schedules wireless delivery of the first portion of the DL data and transfers the first portion of the DL data to the UE over first Physical Layer (PHY) circuitry. The second MAC circuitry schedules wireless delivery of the second portion of the DL data and transfers the second portion of the DL data to the UE over second PHY circuitry.

Abstract: A wireless network serves User Equipment (UEs) over Fifth Generation New Radio (5GNR) and Long Term Evolution (LTE). 5GNR circuitry allocates downlink data into a 5GNR portion and an LTE portion. The 5GNR circuitry transfers the 5GNR data portion to the UEs and transfers the LTE data portion to LTE circuitry. The LTE circuitry wirelessly transfers the LTE data portion to the UEs. The 5GNR and/or LTE circuitry measure UL noise and modify the 5GNR portion and the LTE portion based on the UL noise. The 5GNR circuitry allocates additional downlink data into a modified 5GNR portion and a modified LTE portion. The 5GNR circuitry wirelessly transfers the modified 5GNR data portion to the UEs. The 5GNR circuitry transfers the modified LTE data portion to the LTE circuitry. The LTE circuitry wirelessly transfers the modified LTE data portion to the UEs.

Abstract: A non-linearity correction circuit includes a non-linearity coefficient estimation circuit. The non-linearity coefficient estimation circuit includes a data capture circuit, a non-linearity term generation circuit, a time-to-frequency conversion circuit, a bin identification circuit, a residual non-linearity conversion circuit, and a non-linearity coefficient generation circuit. The non-linearity term generation circuit is coupled to the data capture circuit. The time-to-frequency conversion circuit is coupled to the data capture circuit and the non-linearity term generation circuit. The bin identification circuit is coupled to the time-to-frequency conversion circuit. The residual non-linearity conversion circuit is coupled to the bin identification circuit. The non-linearity coefficient generation circuit is coupled to the bin identification circuit and the residual non-linearity conversion circuit.

Abstract: Systems and methods for identifying data of interest are disclosed. The system may retrieve unstructured data from an internet data source via an alert system or RSS feed. The system may input the unstructured data into various models and scoring systems to determine whether the data is of interest. The models and scoring systems may be executed in order or in parallel. For example, the system may input the unstructured data into a Naïve Bayes machine learning model, a long short-term memory (LSTM) machine learning model, a named entity recognition (NER) model, a semantic role labeling (SRL) model, a sentiment scoring algorithm, and/or a gradient boosted regression tree (GBRT) machine learning model. Based on determining that the unstructured data is of interest, a data alert may be generated and transmitted for manual review or as part of an automated decisioning process.

Abstract: A wireless user device exchanges data with wireless networks over wireless channels and measures communication metrics for the wireless channels. The wireless user device transfers the communication metrics to other wireless user devices and receives other communication metrics from the other wireless user devices. The wireless user device processes the communication metrics to select an optimal set of communication channels. The wireless user device disables the unselected ones of the wireless channels. The wireless user device exchanges wireless data with the wireless networks over the optimal set of wireless communication channels.

Abstract: A drainage bag is provided for a thermal control unit adapted to deliver temperature-controlled liquid to a patient in order to control the patient's temperature. The drainage bag is used to hold and transport the liquid when the liquid inside the thermal control unit is changed. The drainage bag includes a bottom layer, a top layer sealed thereto, and a float secured to the top layer that is positioned adjacent an opening in the top layer. As the liquid from the thermal control unit drains into the opening in the top layer, the liquid lifts the float and the float lifts the top layer of the bag. The bag thereby expands its volume to accommodate the liquid from the thermal control unit. The bag may further be designed to be carried without sealing the opening and without spilling the liquid. A method for using the bag is also disclosed.

Abstract: A cover for covering a portion of a hospital bed barrier that includes a sheet of material that has sufficient flexibility and elasticity to stretch from a first configuration to a second configuration. When in the first configuration, the cover is insufficient in size to cover at least a portion of a hospital bed barrier and, when in the second configuration, the cover is sufficient in size to cover at least a portion of a hospital bed barrier.

Abstract: A system for monitoring risk and generating alerts may include an interface to generate KRIs and KPIs. A monitoring station may use the KRIs and KPIs to evaluate data streams for risk. In response to detecting risks based on the KRIs and/or KPIs, the monitoring station may generate an alert. The alert may be assigned to a user account, for example, for the associated user to evaluate and work through resolution activities associated with the alert.

Abstract: A cover for covering a portion of a hospital bed barrier that includes a sheet of material that has sufficient flexibility and elasticity to stretch from a first configuration to a second configuration. When in the first configuration, the cover is insufficient in size to cover at least a portion of a hospital bed barrier and, when in the second configuration, the cover is sufficient in size to cover at least a portion of a hospital bed barrier.