Abstract: Embodiments described in this application relate generally to a system, an apparatus and/or methods for manufacturing electrodes by infusion electrolyte into compacted electrode materials. In some embodiments, a working electrode materials can be produced using an infusion mixing and manufacturing process. In some embodiments, a single-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. In some embodiments, a double-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. The electrodes produced by an infusion mixing and manufacturing process generally perform better than those produced by non-infusion processes.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information identifying each version of a policy rule base to which a control plane architecture of a wireless network has access; obtaining second information identifying each version of a policy rule base to which a user plane architecture of the wireless network has access; selecting as a selected version a common version of a policy rule base to which each of the control plane architecture and the user plane architecture has access; and communicating an identification of the selected version to each of the control plane architecture and the user plane architecture. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining that one or more tests are to be executed for a core network of a telecommunications system, based on the determining, transmitting one or more test initiation commands to a set of user equipment (UEs) of a plurality of UEs communicatively coupled to the core network, wherein the one or more test initiation commands cause the set of UEs to execute the one or more tests, obtaining, from the set of UEs, results associated with the one or more tests, analyzing the results based on one or more machine learning (ML) models to identify a network issue, and responsive to the analyzing, performing one or more actions to address the network issue. Other embodiments are disclosed.

Abstract: The media playback system comprises a first playback device with an energy storage having a maximum storage capacity. The media playback system sets a target charge level for the first energy storage to a first maximum charge threshold, wherein the first charge threshold is less than the maximum storage capacity (e.g., 20% of the maximum storage capacity). In response to identifying an event associated with a user, the media playback system adjusts the target charge level for the first energy storage to a second maximum charge threshold, wherein the second charge threshold is based on a duration of the first event. Subsequently, the media playback system receives power from a first power source to charge the first energy storage to the second maximum charge threshold. After the first event ends, the media playback system adjusts the target charge level for the first energy storage to the first maximum charge threshold.

Abstract: Respective implementations facilitating a mobile core connection router are provided. A method can include establishing, by a system comprising a processor, a connection to a virtualized core network instance, associated with a first computing device, via a mobility tunneling protocol; in response to the establishing of the connection, initializing, by the system, a virtualized router function based on a routing table; and routing, by the system and via the virtualized router function, data traffic between the virtualized core network instance and a second computing device, communicatively coupled to the system and distinct from the first computing device.

Abstract: A system and process for management of liabilities is disclosed. The embodiments mitigate variance in the assessment of liability values. In an exemplary embodiment, a liability may be created under rules stored in the form of an digital token. The rules may form a smart contract wherein the terms within the contract change automatically based on criteria being met. The token associated with the smart contract may have tangible value that can appreciate/depreciate and may thus be a tradeable asset or commodity. The inventory of liabilities associated with an issuer may thus be tracked and value precisely assessed.

Abstract: Aspects of the subject disclosure may include, for example, generating a management manifest for a network function (NF) software application, wherein the NF software application is to be deployed in a cloud computing environment, based on the generating the management manifest, deriving a software package that includes the NF software application and the management manifest, and causing the software package to be outputted for deployment in the cloud computing environment, wherein inclusion of the management manifest with the NF software application in the software package facilitates utilization of the management manifest for monitoring and management of a system that results from deployment of the NF software application in the cloud computing environment. Other embodiments are disclosed.

Abstract: Imaging technology using high energy charged particles can be used to image an object of inspection such as a blast furnace. An example method of imaging a blast furnace includes performing a first moving operation by moving a first particle tracking detector and a second particle tracking detector up or down movement along a height of the blast furnace; performing a second moving operation by moving the first particle tracking detector and the second particle tracking detector clockwise or counterclockwise movement around the blast furnace; and receiving, by the first particle tracking detector, incoming charged particles; receiving, by the second particle tracking detector, outgoing charged particles transiting through the blast furnace; and producing an image of a volume of interest located in between the first particle tracking detector and the second particle tracking detector by processing electrical signals corresponding to the received incoming and outgoing charged particles.

Abstract: Determining a resolved domain name service (DNS) response based on one or more resolutions for a received access point name (APN) DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Embodiments described in this application relate generally to a system, an apparatus and/or methods for manufacturing electrodes by infusion electrolyte into compacted electrode materials. In some embodiments, a working electrode materials can be produced using an infusion mixing and manufacturing process. In some embodiments, a single-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. In some embodiments, a double-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. The electrodes produced by an infusion mixing and manufacturing process generally perform better than those produced by non-infusion processes.

Abstract: Embodiments described in this application relate generally to a system, an apparatus and/or methods for manufacturing electrodes by infusion electrolyte into compacted electrode materials. In some embodiments, a working electrode materials can be produced using an infusion mixing and manufacturing process. In some embodiments, a single-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. In some embodiments, a double-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. The electrodes produced by an infusion mixing and manufacturing process generally perform better than those produced by non-infusion processes.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Techniques, systems, and devices are disclosed for analyzing a point of closest approach (PoCA) image of a volume of interest (VOI) comprising a set of recorded PoCA points from charged particle detector measurements to detect an object within the VOI. The VOI is partitioned into a set of equally-sized bins with each bin including a subset of the PoCA points. A bin metric is determined for each bin. A subset of the bins is selected based on the detected bin metric with the subset of bins being most likely to contain objects. A potential object for each selected bin is determined by determining a location and a size for the potential object based at least on the PoCAs inside the bin. A figure of merit (FOM) of the potential object is determined as a measure of the likelihood that the potential object is truly a threat object.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Embodiments described in this application relate generally to a system, an apparatus and/or methods for manufacturing electrodes by infusion electrolyte into compacted electrode materials. In some embodiments, a working electrode materials can be produced using an infusion mixing and manufacturing process. In some embodiments, a single-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. In some embodiments, a double-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. The electrodes produced by an infusion mixing and manufacturing process generally perform better than those produced by non-infusion processes.

Abstract: Disclosed technology can provide a process for generating reconstructed muon image resolution to optimize the use of the limited angular range muon track data collected by a muon tomography system. In one aspect, a process for improving reconstructed muon image resolution for a volume of interest (VOI) imaged by a muon tomography system includes: collecting raw muon track data of cosmic ray muon tracks passing through the VOI; grouping the raw muon track data into two or more subsets of tracks based on at least one angular distribution of the muon tracks in the raw muon track data; generating a set of images of the VOI based on the two or more subsets of tracks; and combining information from the set of reconstructed images and a reconstructed image based on the full set of the raw muon track data to obtain a resulting reconstructed image of the VOI.