Abstract: Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for managing user equipment (UE) communications in a converged network by causing such UE to automatically select a “best” wireless network (cellular RAN/WiFi) without any user notification/interaction to the user of the UE, such as via the device user interface (UI). The best wireless network may be determined using contemporaneous QoS related measurements, or predicted QoS measurements such as provided by a RAN node or channel QoS model generated via machine learning techniques, which may also be used to determine a type of QoS needed for each application or service commonly invoked at the UE so as to automatically provide the best possible user experience without any user intervention.

Abstract: An apparatus is described. The apparatus includes a memory module. The memory module includes a memory. The memory module includes function execution circuitry. The function execution circuitry is configurable to execute a producer function and a consumer function of a multi-function process. The memory module includes an interface to be coupled to a memory controller.

Abstract: A memory device configured as a dynamic random access memory is provided, comprising a first semiconductor device layer comprising a first bit cell and a second semiconductor device layer comprising a second DRAM bit cell. Further, at least one of a first and second interconnecting structure is provided, the first interconnecting structure extending vertically between the first and second semiconductor device layer and being arranged to form a write word line common to the gate terminal of the write transistors of the first and second bit cells, and the second interconnecting structure extending vertically between the first and second semiconductor device layer and being arranged to form a read word line common to a first source/drain terminal of the read transistors of the first and second bit cells.

Abstract: The present disclosure involves systems, software, and computer implemented methods for an artificial intelligence work center for ERP data. One example method includes receiving scenario and model settings for an artificial intelligence model for a predictive scenario. A copy of the dataset is processed based on settings to generate a prepared dataset that is provided with the settings to a predictive analytical library. A trained model trained and evaluation data for the trained model is received from the predictive analytical library. A request is received to generate a prediction for the predictive scenario for a target field for a record of the dataset. The record of the dataset is provided to the trained model and a prediction for the target field for the record the dataset is received from the model. The prediction is included for presentation in a user interface that displays information from the dataset.

Abstract: A system and method for optimizing Open Radio Access Network (O-RAN) Cloud (O-Cloud) resources using rApps of a Non-RT RIC are provided. The method includes: obtaining, by an rApp hosted in the Non-RT RIC, O1 data received over an O1 interface of an SMO framework for managing and orchestrating an O-Cloud platform, the O1 interface for communication with virtualized network functions (VNFs) hosted in a plurality of physical nodes of the O-Cloud platform; obtaining, by the rApp, O2 data received over an O2 interface of the SMO framework, the O2 interface for communication with Infrastructure Management Services (IMS) and Deployment Management Services (DMS) of the O-Cloud platform; and generating, by the rApp and based on at least one of the obtained O1 data and the obtained O2 data, a policy for optimizing the O-Cloud platform or the VNFs via SMO anchored functionalities or the O1 interface of the SMO framework.

Abstract: A method and system for shutting down an Open Radio Access Network (O-RAN) Cloud (O-Cloud) node are provided. The method includes: receiving, by a FOCOM, a first request to drain an O-Cloud node, the first request being received from a user terminal or from a Non-Real-Time (Non-RT) RAN Intelligent Controller (RIC) based on analysis of O2 telemetry data; transmitting, by the FOCOM to an IMS via an O2 interface, a second request to drain the O-Cloud node based on the received first request; receiving, by the FOCOM, a third request to shut down the drained O-Cloud node, the third request being received from the user terminal or from the Non-RT RIC; transmitting, by the FOCOM to the IMS, a fourth request to shut down the O-Cloud node based on the received third request; and receiving, from the IMS, a notification that the O-Cloud node has been shut down.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive sensor data indicating an obstacle, formulate a first control barrier function for a vehicle based on the sensor data, formulate a second control barrier function for a trailer hitched to the vehicle based on the sensor data, determine a control input based on the first and second control barrier functions, and actuate a component of the vehicle according to the control input.

Abstract: Techniques unmasking ransomware attacks are disclosed. In some embodiments, a computer system performs operations comprising: generating a first prediction that a file system comprising a plurality of files has been attacked by ransomware based on snapshot metadata of the file system using a snapshot-level machine learning prediction model, the snapshot metadata comprising a plurality of file change data indicating a plurality of file change events that have been performed on the file system; in response to the first prediction, generating a classification for each one of the files based on the file change data using a file-level machine learning prediction model, the classification indicating whether the files have been targeted by the ransomware for encryption; determining that one or more files have been targeted by the ransomware based on the classification; and displaying the classification for the one or more files on a computing device of a user.

Abstract: One or more computing devices, systems, and/or methods for determining activity patterns based upon user activity and/or performing operations based upon the activity patterns are provided. For example, activity performed using a communication interface associated with a user account may be detected. The activity may be analyzed to determine an activity pattern associated with a first set of conditions. The activity pattern may be stored in a user profile associated with the user account. The user profile may comprise a plurality of activity patterns. Each activity pattern of the plurality of activity patterns may be associated with a set of conditions of a plurality of sets of conditions. It may be determined that the first set of conditions are met. Responsive to determining that the first set of conditions are met, one or more operations associated with the activity pattern may be performed.

Abstract: Features are disclosed for correlating a workload type with particular volume characteristics for a block storage volume. The volume characteristics may include a durability or a performance consistency for a particular volume. A computing device can obtain a set of workload parameters indicating a workload associated with a particular block storage volume. Based on the set of workload parameters, the computing device can determine a workload classification that links the set of workload parameters to a set of volume characteristics. The computing device can further compare the set of volume characteristics with the current set of volume characteristics for the block storage volume. Based on comparing the sets of volume characteristics, the computing device may determine a recommendation for a user. The computing device can dynamically modify the block storage volume based on the recommendation.

Abstract: A system for managing a service level agreement (SLA) including a non-transitory computer readable medium and a processor. The processor is configured to search a database based on a query, wherein the database contains a plurality of SLA records. The processor is configured to identify, in response to a determination that at least one SLA of the plurality of SLA records matches the query, actions to be taken, wherein each of the actions is defined by the at least one SLA. The processor is configured to determine whether a breach of the at least one SLA occurred based on the identified actions to be taken. The processor is configured to instruct a transmitter to automatically transmit a breach notification to a recipient in response to the determination that the breach of the least one SLA occurred, wherein the recipient is defined by the at least one SLA.

Abstract: Antibody molecules that specifically bind to APRIL are disclosed. The antibody molecules can be used to treat, prevent, and/or diagnose disorders, such as IgA nephropathy.

Abstract: A system and method for transferring items in a storage facility are provided. The storage facility includes a storage system that includes bins, a control server, and a sensing system. A pick-put operation on an inventory item is performed by picking the inventory item from a robotic apparatus by an operator and storing the inventory item in a corresponding bin of the storage system. The control server receives sensor signals when the sensing system automatically senses a pick-up of the inventory item from the robotic apparatus and placement of the inventory item in the corresponding bin of the storage system. The reception of the sensor signals by the control server indicates execution of the pick-put operation. Thus, a need for the operator to manually scan the inventory item during the pick-up or press any buttons on the storage system to indicate completion of the pick-put operation is eliminated.

Abstract: In certain instances, a data management application (software application) that manages moving data files, and the like, from a primary high-speed storage system. An end-user can configure the data management application for particular files via management policies. Based on the management policies, after a file is migrated from the primary storage system to a targeted secondary storage system, a breadcrumb pointing to a webpage for the migrated file is left behind in the primary storage system. The webpage can be used to manage the migrated file, such as moving the migrated file back to the primary storage system.

Abstract: In certain instances, a data management application (software application) that manages moving data files, and the like, from a primary high-speed storage system. An end-user can configure the data management application for particular files via management policies. Based on the management policies, after a file is migrated from the primary storage system to a targeted secondary storage system, a breadcrumb pointing to a webpage for the migrated file is left behind in the primary storage system. The webpage can be used to manage the migrated file, such as moving the migrated file back to the primary storage system.

Abstract: A method of treating a mammalian subject having hematologic, non-tumorous cancer cells is disclosed. The method comprises the steps of: (A) administering to such a mammalian subject a therapeutically effective amount of a halogenated xanthene, a pharmaceutically acceptable salt or a C1-C4 alkyl ester thereof as a first cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable aqueous medium. The mammalian subject is maintained for a period of time sufficient to induce death of hematologic, non-tumorous cancer cells. A contemplated administration is typically repeated. A contemplated treatment method can also be carried out in conjunction with administration to said mammalian subject of a second therapeutically effective amount of a second, differently-acting cancer cytotoxic agent dissolved or dispersed in a pharmaceutically acceptable medium. The second cancer cytotoxic agent can be a small molecule or an intact antibody or paratope-containing portion thereof.

Abstract: An electronic payment device and methods of its operation are disclosed. The payment device has a secure element for storing payment tokens, each associated with a payment card; an input interface that enables a user to select from among the payment cards; a display interface; and a processor. In response to a user selection of one of the payment cards by way of the input interface, a descriptor of the selected payment card is displayed by way of the display interface; and an unconsumed one of the payment tokens associated with the selected payment card is activated to prepare the payment card device for effecting payment using the selected payment card, thereby consuming the payment token. The payment device also includes a wireless communication interface for receiving additional payment tokens, thereby replenishing the payment tokens.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, receiving information regarding a new sales opportunity from another computing device and determining one or more relevant features from the information regarding the new sales opportunity, the one or more relevant features influencing predictions of an opportunity outcome and an opportunity duration. The method also includes, by the computing device, generating, using a multi-target machine learning (ML) model, a first prediction of an opportunity outcome of the new sales opportunity and a second prediction of an opportunity duration of the new sales opportunity based on the determined one or more relevant features. The method may also include, by the computing device, sending the first and second predictions to the another computing device.

Abstract: A bio-sensing device having a photoelectric element is disclosed. The bio-sensing device includes an infrared pulse generator configured to irradiate infrared pulsed light to a target; the photoelectric element configured to receive the infrared pulsed light which has transmitted through the target, and to generate photocurrent based on the received light; and a sensing element configured to measure a magnitude of either a first peak current of the photocurrent corresponding to a leading edge of the infrared pulsed light or a second peak current of the photocurrent corresponding to a trailing edge of the infrared pulsed light, and to analyze the target based on the measurement result.

Abstract: Techniques for implementing a scalable automated training framework for anomaly and ransomware detection are disclosed. In some embodiments, a computer system performs operations comprising: instantiating a plurality of virtual machines, each one of the virtual machines being loaded with a corresponding file system; simulating user actions and ransomware on the virtual machines, the simulating of user actions and ransomware on the virtual machines causing changes to the corresponding file systems of the virtual machines; for each one of the plurality of virtual machines, generating a corresponding metadata file based on one or more corresponding snapshots of the virtual machine, the one or more corresponding snapshots indicating the changes to the corresponding file system of the virtual machine; and training a ransomware detection model using a machine learning algorithm and training data, the training data being based on the corresponding metadata files of the virtual machines.