Abstract: Cooperative session orchestration includes devising a crypt for pre-distribution of tokens, distributing the tokens to member nodes of the network, based on a request from a delegate node of the network for brokerage of a session between the delegate node and a supplier node of the network, creating and sending, for each of a plurality of potential supplier nodes of the network, a respective individual puzzle, receiving, from each of one or more potential supplier nodes of the plurality of potential supplier nodes, a respective result obtained by the potential supplier node from solving the individual puzzle using the token distributed to the potential supplier, identifying, based on the receiving, candidate supplier node(s) of the one or more potential supplier nodes as a potential supplier for the session with the delegate node, and identifying to the delegate node the candidate supplier node(s) for the session with the delegate node.

Abstract: The present invention relates to method of inhibition of cellular endocytosis by treating the cells with compound of formula-1 Diphenylthio urea and Diphenylurea derivatives. Said invention also discloses method of treatment of infectious diseases, neurological disease, cancer, kidney disease in a subject in need thereof by administering therapeutically effective concentration of compounds of Formula-1, Diphenylthio urea and Diphenylurea derivatives which are effective inhibitors of cellular endocytosis. Said invention also discloses compounds of Formula-1, Diphenylthio urea and Diphenylurea derivatives and pharmaceutical composition comprising compounds of Formula-1, Diphenylthio urea and Diphenylurea derivatives along with suitable excipients.

Abstract: Prioritizing a work request pertaining to a physical asset can include generating a data structure that encodes the work request as a multidimensional representation indicating at least one classification, each at least one classification including at least one sub-category. In response to identifying multiple work requests encoded as multidimensional representations with respect to the physical asset, each multidimensional representation can be reduced to a one-dimensional (1-D) representation that preserves a variance factor of each sub-category of each multidimensional representation. Each 1-D structure can be input to a machine learning model trained to prioritize each of the work requests. The work requests can be prioritized in accordance with the machine learning model based on the 1-D structures. The priorities of each of the work requests can be output.

Abstract: Methods and server systems for computing fraud risk scores for various merchants associated with an acquirer described herein. The method performed by a server system includes accessing merchant-related transaction data including merchant-related transaction indicators associated with a merchant from a transaction database. Method includes generating a merchant-related transaction features based on the merchant-related indicators. Method includes generating via risk prediction models, for a payment transaction with the merchant, merchant health and compliance risk scores, merchant terminal risk scores, merchant chargeback risk scores, and merchant activity risk scores based on the merchant-related transaction features. Method includes facilitating transmission of a notification message to an acquirer server associated with the merchant.

Abstract: A data storage management system comprises features for initiating failover orchestration jobs that invoke recovery resources on demand in a cloud computing environment. Backed up data that is stored persistently in the cloud computing environment may be rapidly restored within the cloud computing environment for use in disaster recovery and/or in test and verification scenarios. This approach may be contrasted to systems where a failover system is “always on” at the failover destination, such as having failover resources always up and running in the cloud computing environment. Such resources typically include a failover virtual machine (VM), a virtual machine datastore for the restored data, and one or more computing resources for restoring an auxiliary copy to the VM's datastore. The cloud-based failover resources are deactivated or taken down once the failover event ends.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: Computer processing techniques are described for augmenting computed tomography (CT) images with synthetic artifacts for artificial intelligence (AI) applications. According to an example, a computer-implemented method can include generating, by a system comprising a processor, synthetic artifact data corresponding to one or more CT image artifacts, wherein the synthetic artifact data comprises anatomy agnostic synthetic representations of the one or more CT image artifacts. The method further includes generating, by the system, augmented CT images comprising the one or more CT image artifacts using the synthetic artifact data. In one or more examples, the method can further include training, by the system, a medical image inferencing model to perform an inferencing task using the augmented CT images as training images.

Abstract: Tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. The assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. A penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. The penalty performance is a value including both the user preference and the task performance. Tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.

Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic API contract generation and conversion. In an example, a first sidecar of a source microservice intercepts a first call to a first API exposed by a destination microservice. The first call makes use of a first API technology specified by a first contract and is originated by the source microservice. An API technology is selected from multiple API technologies. The selected API technology is determined to be different than the first API technology. Based on the first contract, a second contract is dynamically generated that specifies an intermediate API that makes use of the selected API technology. A second sidecar of the destination microservice is caused to generate the intermediate API and connect the intermediate API to the first API.

Abstract: A column in a memory array includes one bit cell circuit in each row for storing information about the row. The bit cell circuits store data in a data node and a complement data node in a cross-coupled inverter circuit. Toggling the nodes in a cross-coupled inverter includes discharging a charged node in contention with a charge current provided in the cross-coupled inverter circuit. The column circuit includes a first voltage supply circuit to decouple the cross-coupled inverter circuits from a first voltage rail to cut off charging current in response to a column set signal in a column set operation. The cross-coupled inverters of the bit cell circuits in the column circuit are coupled to a first voltage supply line. The column set input controls the first voltage supply circuit to decouple the first voltage supply line from a first voltage rail.

Abstract: A circuit for sensing radiation with high sensitivity is disclosed. The circuit comprises a first transistor configurable to reset a voltage-level at a circuit node to a voltage reference. The circuit also comprises measurement circuitry configured to measure the voltage-level at the circuit node, and at least one photodiode configured to vary the voltage-level at the circuit node in response to radiation incident upon the photodiode during an integration period. The circuit also comprises processing circuitry configured to control the first transistor to reset the voltage-level at the circuit node and to subsequently configure the measurement circuitry to measure the voltage-level at a start and at an end of the integration period.

Abstract: A system is disclosed, comprising: a wireless fronthaul access point coupled to a radio mast and in communication with a remote baseband unit, the wireless fronthaul access point further comprising a first millimeter wave wireless interface; and an antenna-integrated radio for providing access to user equipments (UEs), mounted within line of sight on the radio mast with the wireless fronthaul access point, the antenna-integrated radio further comprising: a second millimeter wave wireless interface configured to receive the digital I and Q signaling information from the remote baseband unit wirelessly via the wireless fronthaul access point, wherein the wireless fronthaul access point thereby wirelessly couples the remote baseband unit and the antenna-integrated radio.

Abstract: A surgical stapling system includes a surgical stapling apparatus and a staple cartridge surgical buttress assembly. The surgical stapling apparatus includes a handle assembly, an elongate tubular body extending distally from the handle assembly, and an end effector extending distally from the elongate tubular body. The end effector includes an anvil assembly and a staple cartridge assembly. The staple cartridge surgical buttress assembly includes a surgical buttress and a leash. The surgical buttress includes a body having an annular configuration and legs extending from the body. The body is positioned against a tissue facing surface of the staple cartridge assembly and the legs are positioned against a housing of the staple cartridge assembly. The leash is threaded through at least one of the legs and extends proximally from the surgical buttress towards the handle assembly.

Abstract: Systems, method sand computer readable medium are provided for proving real-time Self Optimizing Network (SON) Virtual Network Function (VRF) included as part of the HNG. In one embodiment data from connected devices is forwarded to the HNG; the data is organized into virtualized containers; and the data is processed by agile analytics and results are displayed to a user.

Abstract: Systems, methods and computer software are disclosed for providing base station and Remote Radio Head (RRH) functionality. In one embodiment, a method is disclosed, the method for providing base station and Remote Radio Head (RRH) functionality in a base station, comprising: providing a baseband card; providing a radio head, the radio head coupled to the baseband card by way of an interface; and switching, under the control of a processor, between use of the baseband card and use of an external baseband unit for controlling the radio head, the external baseband unit used via a Common Public Radio Interface (CPRI) port, thereby providing dual base station and remote radio head functionality.

Abstract: An automated projectile loader and a method of loading projectile for a vehicle is disclosed. The automated projectile loader includes a carousal projectile unit mounted on a hull of the vehicle. The carousal projectile unit includes a carousal storage adapted to store a plurality of projectiles oriented in a vertical direction. The automated projectile loader includes a bustle projectile unit disposed at a rear end of a turret of the vehicle. The bustle projectile unit includes a bustle storage adapted to store a plurality of projectiles and propellants oriented in a horizontal direction. The automated projectile loader includes an automated arm disposed below the turret and adapted to load the plurality of projectiles from one of the carousal storage and the bustle storage in a barrel orientated in any angle in the turret.

Abstract: An approach for assessing terms and conditions (TnC)s of a legal agreement is provided. A block of text, which contains a TnC of the set of TnC, in the legal agreement is identified using a cognitive system. A standardized significance value is assigned to the TnC by the cognitive system by applying the TnC to a TnC model containing corresponding industry TnCs from industry standard documents. A block currency that indicates a significance of an impact of the TnC to a contract party is computed for the TnC by the cognitive system. Based on the standardized significance value and the block currency, a personal impact of the TnC to the contract party is assessed by the cognitive system. The contract party is alerted to the TnC and the personal impact corresponding to the TnC.

Abstract: A method for an automated video generation from a set of digital images includes the step of obtaining the set of digital images. The set of digital images represent a specified object to be showcased in an automatically generated video. The method includes the step of implementing pose identification on each view of the specified object in the set of digital images. The method includes the step of implementing a background removal operation to set a consistent background to each digital image. The method includes the step of implementing an image resolution increase operation on each digital image. The method includes the step of implementing an attribute extraction operation on each digital image using a set of image classifiers. The set of image classifiers are run on each digital image to generate one or more textual tags. The one or more textual tags are integrated in the automatically generated video; The method includes the step of implementing an attention map generation.

Abstract: A directed evolution method for improving performance of a mammalian host cell is provided, as well as host cells generated using the directed evolution method. In one aspect, hydrogen peroxide (H2O2)-evolved host cells are provided. In one aspect, (H2O2)-evolved Chinese hamster ovary (CHO) host cells are provided.

Abstract: A method for Xx/Xn interface communication is disclosed, comprising: at an Xx/Xn gateway for communicating with, and coupled to, a first and a second radio access network (RAN), receiving messages from the first RAN according to a first Xx/Xn protocol and mapping the received messages to a second Xx/Xn protocol for transmission to the second RAN; maintaining state of one of the first RAN or the second RAN at the Xx/Xn gateway; executing executable code received at an interpreter at the Xx/Xn gateway as part of the received messages; altering the maintained state based on the executed executable code; and receiving and decoding an initial Xx/Xn message from the first RAN; identifying specific strings in the initial Xx/Xn message; matching the identified specific strings in a database of stored scripts; and performing a transformation on the initial Xx/Xn message, the transformation being retrieved from the database for stored scripts, the stored scripts being transformations.