Abstract: Disclosed herein are formulations of a poly-herbal synergistic composition which exhibit marked immunomodulatory, anticancer, antiviral and anti-inflammatory properties. Also disclosed are the methods of preparing and using the same.

Abstract: Systems and methods for providing an automated quality assurance framework for infrastructure as code (“IaC”) implementations are provided. Pull requests with proposed change to existing IaC source code (“changed code”) are received from user devices, each associated with either a service enablement team member or an applications development team member. Team specific versions of the quality assurance framework are automatically triggered for the changed code which require successful passage through multiple modules in a successive manner before automatically being merged into the existing IaC source code.

Abstract: There is disclosed a semiconductor package assembly comprising: a substrate having a top substrate surface and a substrate bottom surface; a first semiconductor die, partially over the substrate and having a die bottom surface having first and second pluralities of I/O pads thereon; a first plurality of localised electrical connection components (LECCs), affixed between the die bottom surface and the substrate top surface and providing electrical connections between the substrate and the first plurality of I/O pads; a second plurality of LECCs, affixed to the substrate bottom surface, and for providing electrical connection between the substrate and a circuit board; wherein the second plurality of I/O pads are arranged for providing electrical connections to a chip-scale-package unit to be affixed to the first semiconductor die by a third plurality of LECCs, and to be positioned in a same horizonal plane as the substrate. Corresponding methods are also disclosed.

Abstract: Various embodiments disclose a glow plug for a solid oxide fuel cell system. The glow plug includes a housing having a first end portion and a second end portion. The glow plug includes a heating element longitudinally disposed in the housing, extending from the second end portion of the housing towards the first end portion and extending outwardly from the housing for igniting fuel. Further, the glow plug includes a pair of coiled wires electrically connected to the heating element. Further, the glow plug includes a potting compound disposed within the second end portion of the housing for securing electrical coupling of the pair of coiled wires with the heating element. Furthermore, the glow plug includes a sealing element configured to form an air-tight connection between the housing and the heating element. The sealing element is positioned on top of the potting compound.

Abstract: Various embodiments disclose a glow plug for a solid oxide fuel cell system. The glow plug includes a housing having a first end portion and a second end portion. The glow plug includes a heating element longitudinally disposed in the housing, extending from the second end portion of the housing towards the first end portion and extending outwardly from the housing for igniting fuel. Further, the glow plug includes a pair of coiled wires electrically connected to the heating element. Further, the glow plug includes a potting compound disposed within the second end portion of the housing for securing electrical coupling of the pair of coiled wires with the heating element. Furthermore, the glow plug includes a sealing element configured to form an air-tight connection between the housing and the heating element. The sealing element is positioned on top of the potting compound.

Abstract: Computer vision systems and methods for optimizing correlation clustering for image segmentation are provided. The system receives input data and generates a correlation clustering formulation for Benders Decomposition for optimized correlation clustering of the input data. The system optimizes the Benders Decomposition for the generated correlation clustering formulation and performs image segmentation using the optimized Benders Decomposition.

Abstract: Techniques are disclosed for address manipulation using indices and tags. A first index is generated from bits of a processor program counter, where the first index is used to access a branch predictor bimodal table. A first branch prediction is provided from the bimodal table, based on the first index. The first branch prediction is matched against N tables, where the tables contain prior branch histories, and where: the branch history in table T(N) is of greater length than the branch history of table T(N-1), and the branch history in table T(N-1) is of greater length than the branch history of table T(N-2). A processor address is manipulated using a greatest length of hits of branch prediction matches from the N tables, based on one or more hits occurring. The branch predictor address is manipulated using the first branch prediction from the bimodal table, based on zero hits occurring.

Abstract: Described herein are systems and methods to manage blacklists and duplicate addresses in software defined networks (SDNs). In one implementation, a method includes, in a control plane and data plane of an SDN environment, obtaining a blacklist for a logical port in the SDN environment. The method further includes deleting realized address bindings in a realized address list for the logical port that match the one or more address bindings in the blacklist and preventing subsequent address bindings that match the one or more address bindings in the blacklist from being added to the realized address list.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and method that utilize a character animation neural network informed by motion and pose signatures to generate a digital video through person-specific appearance modeling and motion retargeting. In particular embodiments, the disclosed systems implement a character animation neural network that includes a pose embedding model to encode a pose signature into spatial pose features. The character animation neural network further includes a motion embedding model to encode a motion signature into motion features. In some embodiments, the disclosed systems utilize the motion features to refine per-frame pose features and improve temporal coherency. In certain implementations, the disclosed systems also utilize the motion features to demodulate neural network weights used to generate an image frame of a character in motion based on the refined pose features.

Abstract: The present invention relates to a multifunctional hybrid particle board and a process for manufacturing hybrid unlaminated and laminated green composite particle boards/fibre board and panels with variable density, mechanical strength, thermal conductivity and water absorption with epoxy and polyester resin system under compression moulding machine. Preparation process describe a process to effectively utilise agro-residues/particulates/fibres to avoid its burning and resultant air and environmental pollution. The applications of the fabricated unlaminated and laminated hybrid particle board for use in architectural cladding panels, partition panels, wall panels.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. The present disclosure can calculate a center-edge distance of a first pixel, the center-edge distance of the first pixel equal to a distance from a first pixel center to one or more edges of a first primitive. Additionally, the present disclosure can store the center-edge distance of the first pixel when the first primitive is visible in a scene. The present disclosure can also determine an amount of overlap between the first pixel and the first primitive. Further, the present disclosure can blend a color of the first pixel with a color of a second pixel based on at least one of the center-edge distance of the first pixel or the amount of overlap between the first pixel and the first primitive.

Abstract: A method for preparing a solid form of Bisphenol F is disclosed. The method comprises feeding Bisphenol F at a temperature in the range of 130-170° C. into an extruder; processing the fed Bisphenol F in a first mixing zone of the extruder, the first mixing zone maintained at a temperature in the range of 110-130° C., and then in a second mixing zone of the extruder, the second mixing zone maintained at a temperature in the range of 100-110° C.; conveying the processed Bisphenol F to a discharge zone of the extruder, the discharge zone maintained at a temperature in the range of 75-100° C.; discharging the processed Bisphenol F; and obtaining Bisphenol F in the solid form.

Abstract: This disclosure relates generally to method and system for providing assistance to interviewers. Technical interviewing is immensely important for enterprise but requires significant domain expertise and investment of time. The present disclosure aids assists interviewers with a framework via an interview assistant bot. The method initiates an interview session for a job description by selecting a set of qualified candidates resume to be interviewed. Further, the IA bot recommends each interviewer with a set of question and reference answer pairs prior initiating the interview. At each interview step, the IA bot records interview history and recommends interviewer with the revised set of questions. Further, an assessment score is determined for the candidate using the reference answer extracted from a resource corpus. Additionally, statistics about the interview process is generated, such as number and nature of questions asked, and its variation across to identify outliers for corrective actions.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: Systems and methods are provided herein for transitioning a supplicant from one virtual local area network (VLAN) to another using a change of authorization (COA) message. This may be accomplished by an authentication server notifying a network device that a host should be granted access to the network, wherein the authentication server authenticates the host using MAC based authentication. Based on this notification and the MAC address of the host, the network device assigns the host to a first VLAN. If the authentication server determines that the host needs to change from the first VLAN to a second VLAN the authentication server generates a COA message, associated with the host, wherein the COA message comprises a VLAN identifier related to the second VLAN. The authentication server transmits the COA message to the network device causing the network device to route traffic to and from the host using the second VLAN.

Abstract: A detonation combustion system includes a detonation combustor. The detonation combustor includes a detonation manifold and one or more detonation chamber walls defining a detonation chamber. The detonation manifold includes a plurality of detonation fluid pathways defined by a monolithic structure of the detonation manifold, and a plurality of detonation orifice groups respectively including a plurality of detonation orifices disposed about a surface of the detonation manifold. Respective ones of the plurality of detonation orifice groups provide fluid communication from a corresponding one of the plurality of detonation fluid pathways to the detonation chamber through the plurality of detonation orifices corresponding to the respective one of the plurality of detonation orifice groups. The plurality of detonation orifices may be symmetrically oriented about a reference element of the detonation combustor.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may establish a communication connection with a serving cell associated with a first discontinuous reception (DRX) cycle configuration, determine, based at least in part on at least one of a first on duration of a first DRX cycle indicated by the first DRX cycle configuration or a type of traffic of one or more communications received during the first DRX cycle, an autonomous measurement gap associated with a neighboring cell, and perform a measurement of the neighboring cell during the autonomous measurement gap. Numerous other aspects are provided.

Abstract: A method includes: receiving, by a storage device from a core in a host, a request to provide exclusive resource to a command of a predefined submission queue of a non-volatile memory (NVM) set in the storage device, wherein the request pertains to operating the NVM set in a deterministic state; generating a virtual NVM set identifier for a virtual NVM set based on a predefined mapping of the predefined submission queue and the NVM set; determining a storage controller associated with the NVM set based on a predefined mapping of the predefined submission queue, the NVM set, and the virtual NVM set identifier; enabling at least one core to operate in a Predictable Latency Mode; and operating the storage controller and the NVM set in the deterministic state by allocating predetermined resources to execute the command and return data with a predictable latency.

Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, and/or craft responses whose content is drawn from a library of electronic documents. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: Methods and systems disclosed herein relate generally to systems and methods for generating simulated images for enhancing socio-demographic diversity. An image-generating application receives a request that includes a set of target socio-demographic attributes. The set of target socio-demographic attributes can define a gender, age, and/or race of a subject that are non-stereotypical for a particular occupation. The image-generating application applies the a machine-learning model to the set of target socio-demographic attributes. The machine-learning model generates a simulated image depicts a subject having visual characteristics that are defined by the set of target socio-demographic attributes.