Abstract: State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and co-ordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

Abstract: A computer-implemented for allocating resources is disclosed. The method includes: receiving, from a client device associated with an entity, input including a selection of a first operation; obtaining a threshold quantity of resources associated with the first operation; allocating a first quantity of resources associated with the entity to the first operation; detecting a trigger condition for obtaining resources associated with the first operation; and in response to detecting the trigger condition for obtaining resources associated with the first operation: determining a second quantity of resources associated with the entity for allocation to the first operation based on a difference between the threshold quantity of resources associated with the first operation and the first quantity of resources; and transmitting, to the client device, a signal representing a message indicating the second quantity of resources.

Abstract: A glitch detector includes a metastability detector circuit, a reference storage circuit, and a pattern comparison circuit. The metastability detector circuit is configured to generate state signals at each cycle of the clock signal. The reference storage circuit is configured to store a logic state of each state signal based on a delayed version of the clock signal, and generate reference signals. A logic state of each reference signal is equal to a logic state of a corresponding state signal generated during a previous cycle of the clock signal. The pattern comparison circuit is configured to receive the state signals generated during a current cycle of the clock signal, the reference signals, and first and second values, and generate clock and voltage glitch signals based on first and second patterns that are associated with the state signals generated during the current cycle and the reference signals, respectively.

Abstract: In the world of digital advertising, optimally allocating an advertisement campaign within a fixed pre-defined budget for an advertising duration aimed at maximizing number of conversions is very important for an advertiser. Embodiments of present disclosure provides a robust and easily generalizable method of optimal allocation of advertisement campaign by formulating it as a constrained Markov Decision Process (MDP) defined by agent state comprising user state and advertiser state, action space comprising a plurality of ad campaigns, state transition routine and a cumulative reward model which rewards maximum total conversions in an advertising duration. The cumulative reward model is trained in conjunction with a deep Q-network for solving the MDP to optimally allocate advertisement campaign for an advertising duration within a constrained budget.

Abstract: Existing techniques assume that all time varying covariates are confounding and thus attempts to balance a full state representation of a plurality of historical observants. The present disclosure processes a plurality of historical observants and treatment at a timestep t specific to each patient using an encoder network to a obtain a state representation st. A first set of disentangled representations comprising an outcome, a confounding and a treatment representation is learnt to predict an outcome t+1. The first set of disentangled representations are concatenated to obtain a unified representation and the decoder network is initialized using the unified representation to obtain a state representation st+1. A second set of disentangled representations is learnt and concatenated to predict outcome t+m+1 m+1 timesteps ahead of the timestep t and proceeding iteratively until m=??1.

Abstract: This disclosure relates to method and system for improving Wi-Fi performance in co-existing communication networks using learning methodologies. In recent times, most of telecom operators have expressed interest in deploying LTE (Long-Term Evolution) over the unlicensed spectrum. However, simultaneous use of unlicensed band (by operators using LTE and other Wi-Fi) presents coexistence challenges in terms of network performance especially for the Wi-Fi. The disclosed techniques enable improving the Wi-Fi performance in the co-existing communication networks based on learning methodologies. The disclosed techniques improve Wi-Fi performance based on several steps that includes detecting an interfering channel, and further identifying an optimal channel to mitigate the interference caused by the detected interfering channel. The optimal channel is identified based on an optimization technique, wherein the optimization technique is a reinforcement learning technique based on a Q-learning.

Abstract: Techniques are described for a contextual natural language understanding (cNLU) framework that is able to incorporate contextual signals of variable history length to perform joint intent classification (IC) and slot labeling (SL) tasks. A user utterance provided by a user within a multi-turn chat dialog between the user and a conversational agent is received. The user utterance and contextual information associated with one or more previous turns of the multi-turn chat dialog is provided to a machine learning (ML) model. An intent classification and one or more slot labels for the user utterance are then obtained from the ML model. The cNLU framework described herein thus uses, in addition to a current utterance itself, various contextual signals as input to a model to generate IC and SL predictions for each utterance of a multi-turn chat dialog.

Abstract: The present invention provides a system and a method of data processing for spend control and budget management in enterprise application. The data processing includes tracking, monitoring, and analyzing one or more datasets of a plurality of entities in real time. The system processes one or more data attributes associated with the received data objects based on one or more data models and determines an impact of the received data object on a data control tower through a data simulation thereby enabling informed readjustment of the data control tower.

Abstract: State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and coordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

Abstract: Fifth generation and beyond (5G+) systems are expected to adopt new network architectures, services, and deployment schemes for compatibility with the latest technologies and end user's needs. With increase in user equipment (UE), also come variety of advanced applications and use-cases, wherein each application type has its own KPI requirements. Existing resource allocation schemes in cellular networks are not able to handle such dynamic requirements due to which network slice can lead to unwanted mismanagement of resources. Present application provides systems and methods for application-aware dynamic slicing in radio access network (RAN), wherein RAN slicing is proactively managed by learning historical slice demands and consumptions. Once slices are created, the system allocates resources to user equipment by following optimal inter-slice and intra-slice mechanisms based on application type(s), traffic demand(s) and wireless characteristics of UE.

Abstract: Systems, methods, and apparatuses for contextual natural language understanding are detailed. An exemplary method includes receiving a user utterance provided by a user within a multi-turn chat dialog between the user and a conversational agent; providing to a contextual natural language understanding framework: the user utterance, and contextual information associated with one or more previous turns of the multi-turn chat dialog, the contextual information associated with each turn of the one or more previous turns including a previous intent, a previous dialog act, and an elicited slot; and obtaining, from the contextual natural language understanding framework, an intent classification and one or more slot labels.

Abstract: The present invention relates to bispecific compound of formula (I) as dual inhibitors of CD73 and adenosine receptors. The present invention also relates to pharmaceutical compositions comprising said compounds or a pharmaceutically acceptable salt or a stereoisomer or a prodrug thereof and use of such compounds in the treatment of diseases mediated by CD73 and/or adenosine receptors, particularly A2aR or A2bR.

Abstract: The method and system may provide a seamless handoff of user information from a drugstore to a call agent. When a customer communicates with a drugstore device regarding a drugstore-related inquiry, the drugstore device attempts to identify an answer to the drugstore-related inquiry. When the drugstore device does not identify an answer to the drugstore-related inquiry, the drugstore device initiates communication between the customer and a contact center. A transcribed version of the communication may be stored in a database accessible by the contact center along with additional user information for the customer related to the customer's experiences with the drugstore. The user information may be provided to a call agent's contact center device for display and in this manner, the call agent may be made aware of the communication to avoid asking repeat questions and to quickly and efficiently answer the customer's drugstore-related inquiry.

Abstract: A system-on-chip (SoC) is disclosed. The SoC includes a fault controlling circuit and processing circuits. The fault controlling circuit is configured to receive fault events generated by fault sources of the SoC and categorize the fault events based on a priority associated with each fault event. The fault controlling circuit is further configured to identify corresponding fault reactions for the categorized fault events and generate a set of recovery signals based on the identified fault reactions. The processing circuits are configured to receive the fault events, and further configured to receive the set of recovery signals to recover from the fault events. The fault controlling circuit thus acts as a central control system for controlling faults in the SoC.

Abstract: A glitch detector includes a metastability detector circuit, a reference storage circuit, and a pattern comparison circuit. The metastability detector circuit is configured to generate state signals at each cycle of the clock signal. The reference storage circuit is configured to store a logic state of each state signal based on a delayed version of the clock signal, and generate reference signals. A logic state of each reference signal is equal to a logic state of a corresponding state signal generated during a previous cycle of the clock signal. The pattern comparison circuit is configured to receive the state signals generated during a current cycle of the clock signal, the reference signals, and first and second values, and generate clock and voltage glitch signals based on first and second patterns that are associated with the state signals generated during the current cycle and the reference signals, respectively.

Abstract: The present invention relates to a novel Lactobacillus plantarum IMB19 strain, polysaccharides derived from the strain, and a use thereof. A novel Lactobacillus plantarum IMB19 strain and polysaccharides derived from the strain of the present invention exhibit an excellent CD8+T cell activity stimulating ability and Treg cell inhibitory activity, and stimulate and improve an antitumor immune response through various mechanisms such as increased macrophage infiltration in CPS tumors and differentiation and reprogramming of macrophages into an inflammatory phenotype (M1). Therefore, a strain and polysaccharides derived from the strain of the present invention can be effectively used for immune regulation, especially immune boosting, in a subject, and can inhibit tumor growth by inducing and enhancing an antitumor immune response.

Abstract: A method, a device, and a non-transitory storage medium are described in which a dynamic C-DRX provisioning service is provided. The service may disable or enable discontinuous reception on a per end device application or network slice basis. The service may invoke an end device capability procedure to modify a discontinuous reception configuration of a network. The service may store information that correlates an application or network slice to a discontinuous reception setting.

Abstract: Emulation has become a critical method for the initial phase of verification and validation processes. However, achieving interoperability between emulation systems and ensuring credibility of results currently require significant efforts. This disclosure relates to a system and method for providing an emulation as a service (EaaS) framework for communication networks. The EaaS framework provides discoverable services that are readily available on-demand and deliver a choice of applications in a flexible and adaptive manner. The EaaS framework is used for discovery, composition, execution, and management of emulation services. The EaaS framework defines user-facing capabilities (front-end) and underlying core functional infrastructure (back-end). The front end provides access to a large variety of emulation capabilities from which the user is able to select the services and track the experiences.

Abstract: An expression vector for mammalian cells includes a selection cassette with a nucleotide sequence encoding a glutamine synthetase, operably linked to a PGK promoter and a pA signal. The vector may include the EASE element which is known to promote stable integration of the expression cassettes into the genome. The vector also includes a selection cassette with a nucleotide sequence encoding an enzyme that confers resistance against an antibiotic to a bacterial host as a bacterial selection marker, operably linked to a suitable promoter. The vector further includes an expression cassette for a target polypeptide with an insertion site for a nucleotide sequence encoding the target polypeptide, operably linked to a. CMV promoter and a pA signal. The vector also includes a bacterial origin of replication.

Abstract: The disclosure generally relates to methods and systems for generating synthetic microstructure images of a material with desired features. Conventional techniques that make use of unsupervised deep generative models has no control on the generated microstructure images with specific, desired set of features. The present disclosure generates the synthetic microstructure images of the material with desired feature, by using a variational autoencoder defined with a style loss function. In the first step, the variational autoencoder is trained to learn latent representation of microstructure image of the material. In the second step, some of the dimensions of learned latent representation is interpreted as physically significant features. In the third and last step, the latent representation required for getting the desired features is appropriately sampled based on the interpretation to generate the synthetic microstructure images of the material with desired features.