Abstract: Aspects of the subject disclosure may include, for example, analyzing data by applying AI modeling to the data where the analyzing includes analyzing network conditions at a SA network and an NSA network resulting in analyzed network conditions; predicting a better user experience for a communication session of an end user device based on the analyzed data resulting in a prediction; selecting one of the SA network or the NSA network for the end user device based on the prediction resulting in a selected network; determining a time period for the end user device to continue utilizing the selected network for future communication sessions; and providing an instruction to a network element that causes the end user device to connect to the selected network, where the end user device utilizes the selected network for the communication session and the future communication sessions during the time period. Other embodiments are disclosed.

Abstract: A system selects a network type for a UE to communicate with a network. The network type may be a classical radio access network (RAN) or a virtual RAN. The selection process may be device-driven, network-driven, or a combination. A network device may collect and analyze network performance data and UE processing capabilities to determine and reconfigure the optimal network type. The UE may gather data, receive network recommendations, and communicates its preference. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, communicatively coupling to a first communication device over an LTE mobile network, and determining a first handover to a first target base station, the first target base station is part of a 5G (or next generation) mobile network. Further embodiments can include determining that the first communication device is performing a first type of service resulting in a first determination, and preventing the first handover to the first target base station based on the first determination. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data regarding one or more local networks, wherein the one or more local networks provide network connectivity for a user device, receiving policy information from an SMO system, and causing the data and the policy information to be provided to an AIC that is associated with one or more access networks, wherein the causing enables the AIC to determine whether to effect a handover for the user device from the one or more local networks to the one or more access networks. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a service request relating to a user device, identifying service delivery requirements for the service request, resulting in identified requirements, creating a resource slice based on the service delivery requirements, and providing data regarding the resource slice to a first intelligent controller and a second intelligent controller, wherein the first intelligent controller relates to one or more networks that are associated with a premises, wherein the premises comprises a residential premises or a commercial premises, wherein the second intelligent controller relates to the user device, and wherein the providing causes the first intelligent controller to manage use of resources in the one or more networks to facilitate traffic delivery for the service request and causes the second intelligent controller to manage use of resources in the user device to facilitate data processing for the service request. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a service request relating to a user device, identifying service delivery requirements for the service request, resulting in identified requirements, obtaining first information from a first intelligent controller regarding resources in network(s) that are associated with a premises, wherein the premises comprises a residential/commercial premises, obtaining second information from a second intelligent controller regarding resources in the user device, based on the identified requirements and the first and second information, selecting a first resource in the network(s) and a second resource in the user device, and facilitating service delivery for the user device by coordinating with the first intelligent controller to utilize the first resource for delivery of traffic associated with the service request and by coordinating with the second intelligent controller to utilize the second resource for processing relating to the traffic.

Abstract: Facilitating network slicing information preservation in advanced networks in advanced networks is provided herein. Operations of a system include receiving, from second network equipment, network slice configuration information for a user device during a first handover of the user device from the second network equipment to the first network equipment. The network slice configuration information can include information indicative of a first network slice and a second network slice generated via a microservice of a network intelligent controller. Further the operations can include transmitting, to third network equipment, the network slice configuration information for the user device during a second handover of the user device from the first network equipment to the third network equipment.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first network performance data characterizing a wireless network, wherein the wireless network provides one or more users of a plurality of users access to a collection of servers that enable a plurality of services; obtaining second network performance data characterizing a wired network, wherein the wired network provides the one or more users access to the collection of servers that enable the plurality of services; obtaining first service performance data characterizing a first service of the plurality of services that are enabled by the collection of servers; obtaining first service requirements of the first service; and responsive to a first user of the one or more users indicating a preference to utilize the first service, selecting one of the wireless network or the wired network as a selected network for the first user, wherein the selecting of the selected network is based upon the first network performance data, the second networ

Abstract: Compositions and methods are described herein for treating subjects having hypercholesterolemia and/or cardiovascular disease.

Abstract: Systems and methods for detecting an occlusion in an infusion device are disclosed. One method includes generating, during an infusion session at predetermined intervals, a feature vector comprising an initial measurement of a physical force caused by fluid motion through an infusion device at the start of an infusion session, a current measurement of the physical force, a long term change in the measurement of the physical force, and a short term change in the measurement of the physical force. The feature vector is inputted, during the predetermined intervals, into a support vector machine (“SVM”) to output an indication of a presence or an absence of an occlusion in the infusion device. The SVM may be trained using reference data from reference infusion sessions having known consequences regarding the presence or the absence of an occlusion at various times during the reference infusion sessions.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a measurement report from a communication device, the measurement report indicates a first mobile network resource of a first neighbor base station, and reporting the first mobile network resource of the first neighbor base station to an automatic neighbor relation (ANR) optimizer (ANR-o) xApplication running on a radio access network (RAN) intelligent controller (RIC). The ANR-o xApplication provides a first indication of a first group of mobile network resources of the first neighbor base station to the serving base station. Further embodiments can include receiving the first indication of the first group of mobile network resources associated with the first neighbor base station, and updating an ANR table associated with the serving base station with the first mobile network resource and the first group of mobile network resources associated with the first neighbor base station. Other embodiments are disclosed.

Abstract: A system and method are disclosed for detecting remaining battery voltage or capacity in an infusion device and generating alarms based on the detection. A battery lifetime extension method includes providing an infusion device that derives its power from a rechargeable battery. The infusion device may derive its power from a rechargeable battery. Furthermore, the infusion device receives, at predetermined intervals of time in real-time sensor data comprising a voltage, a change in the voltage over the predetermined interval of time, an average current, a temperature, and a remaining voltage or capacity reported by a battery gas gauge integrated circuit (“IC”) associated with the rechargeable battery. A customized neural network model utilizes the sensor data to determine an indicia of the actual remaining voltage or capacity of the rechargeable battery in real-time. The indicia may be used to lengthen and/or abate ongoing medical infusion therapy.

Abstract: Aspects of the subject disclosure may include, for example, inquiring capability of a target user equipment (UE) connected to a standalone radio access network (SA RAN) operating with a nth generation communication network, determining the inquired capability that the target UE supports a first type of dual connectivity and does not support a second type of dual connectivity, receiving, from the target UE, a message that a predetermined condition has occurred, and moving the connection to the target UE to a radio access network (RAN) of a (n?1)th generation communication network. Other embodiments are disclosed.

Abstract: A time-of-flight apparatus has a light source for emitting a light pulse to a scene; a photo-detection portion for detecting at least the light pulse reflected from the scene within a first photo-detection time interval, wherein the photo-detection portion includes at least one photo-detection element; and a measurement circuitry configured to: drive, within a measurement time interval including the first photo-detection time interval, the at least one photo-detection element for detecting the light pulse reflected from the scene, and drain, within the measurement time interval and after the first photo-detection time interval, electrons from the at least one photo-detection element.

Abstract: Exemplary embodiments are disclosed of circuits for integrating and/or combining electromagnetic interference (EMI) filters with power lines without using capacitors. In exemplary embodiments, a circuit comprises a common mode inductor including first and second inductors. The first inductor is configured to be operable for providing a first impedance along a live wire of the circuit. The second inductor is configured to be operable for providing a second impedance along a neutral wire of the circuit. The circuit further includes a third inductor configured to be operable for providing a third impedance along a ground wire of the circuit.

Abstract: Aspects of the subject disclosure may include, for example, selecting a quality of service (QoS) treatment for user equipment (UE) in a mobile communications network, applying the QoS treatment for the UE, determining compliance with a service level agreement (SLA) according to the QoS treatment, adjusting the QoS treatment to an updated QoS treatment based on the determining compliance with the SLA, and applying the updated QoS treatment to the UE. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, allocating a first virtualized distributed unit (vDU) to a first virtualized central unit (vCU) and a second vDU to a second vCU as part of a first configuration of a virtualized radio access network (vRAN), detecting a change in a condition in the vRAN subsequent to the allocating, and based on the detecting, reallocating the second vDU to the first vCU as part of a second configuration of the vRAN. Other embodiments are disclosed.

Abstract: Facilitating conditional fast return to stand alone advanced networks after voice fall back with network congestion awareness is provided herein. Operations of a system can include controlling a first communication for a user equipment based on a connection request that comprises an indication of a fall back procedure. The operations can also include, based on a determination that the first communication has completed at the user equipment, releasing a first control of the user equipment. Further, the operations can include delaying a redirection of the user equipment to the network equipment for a second control of a second communication scheduled to occur at the user equipment. Delaying of the redirection is based on a determined network congestion level applicable to the communication network being determined to be at most a defined network congestion level.

Abstract: Aspects of the subject disclosure may include, for example, maintaining performance data relating to performance of a plurality of different combinations between a plurality of radio units (RUs) and a plurality of baseband units (BBUs), where the plurality of RUs and the plurality of BBUs are connected via an open fronthaul interface of Open Radio Access Network (ORAN), determining service and performance requirements of a user equipment (UE), and based on the performance data and the determined service and performance requirements of the UE, generating a target combination by selecting a RU among the plurality of RUs and selecting a BBU among the plurality of BBUs such that the target combination meets the determined service and performance requirements. Other embodiments are disclosed.

Abstract: A water preparation apparatus for determining an amount of total chlorine in purified water is disclosed. The water preparation apparatus includes a chlorine sensing system, a water pretreatment filter, a reverse osmosis filter, and an electrodeionization (“EDI”) module. The chlorine sensing system is configured to determine an amount of total chlorine in the purified water by applying, at a first time, a source voltage to the purified water and removing, at a second time, the source voltage. The chlorine sensing system then measures, after the second time, an electrical parameter of the purified water. The chlorine sensing system determines the amount of total chlorine in the purified water based on the measured electrical parameter.