Abstract: Techniques described herein relate to intelligent migration between personal area networks (PANs) of a wireless mesh network. In one example, a method includes receiving, by a node connected to a first PAN, a packet from a second PAN. Based on the packet, the node determines that a second instability factor related to stability of the second PAN differs by at least a margin from a first instability factor related to stability of the first PAN. The node transmits, to a neighboring node in the first PAN, a migration notification message indicating that the node is migrating and receives, from the neighboring node in the first PAN, a request for the node to remain in the first PAN. The node applies one or more rules to reject the request for the node to remain in the first PAN and, based on rejecting the request, proceeds to complete the migration.

Abstract: An example method of upgrading an application in a software-defined data center (SDDC) includes: deploying, by lifecycle management software executing in the SDDC, a second appliance, a first appliance executing services of the application at a first version, the second appliance having services of the application at a second version, the services in the first appliance being active and the services in the second appliance being inactive; setting, by the lifecycle management software, the first and second appliances as a preemptive pair, where the first appliance is protected and the second appliance is unprotected by fault domain management (FDM) software executing in the SDDC; performing, by the lifecycle management software, a switchover to stop the services of the first appliance and start the services of the second appliance; and setting, by the lifecycle management software, the first appliance as unprotected and the second appliance as protected by the FDM software.

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: Systems and methods for decomposing telecommunication assets and generating asset quality scores are disclosed. Parameters are received for a telecommunication asset, including a location and/or access credentials. An asset group is identified for the telecommunication asset, such as an asset group associated with an operational unit or activity of a telecommunication service provider. One or more deployable units are received for inclusion in the telecommunication asset. Using the telecommunication asset parameters, the asset group, and the one or more deployable units, a hierarchical representation of the telecommunication asset is generated to facilitate management of the telecommunication asset. In some implementations, a quality score is generated for the telecommunication asset, such as a score generated using a trained machine learning model.

Abstract: Amorphous solid dispersions of nilotinib fumarate or nilotinib tartrate are provided, as well as pharmaceutical compositions thereof, wherein the compositions exhibit enhanced bioavailability in the fasted state. Preferably, the compositions may be orally administered to a patient in either the fed or fasted state, with a decrease or elimination of the food effect. Preferably, following oral administration of the pharmaceutical compositions, there is no substantial difference in the pharmacokinetic parameters (e.g., Cmax, AUC0-t and/or AUC0-infinity) of nilotinib, regardless of whether the pharmaceutical compositions are administered to a subject in the fed or fasted state.

Abstract: A device may calculate a reactive power setpoint associated with a distributed energy resource (DER) electrically coupled to a power distribution network, based on a local voltage value associated with the DER. The device may control a reactive power output of the DER in association with regulating voltage at the power distribution network, based on the reactive power setpoint.

Abstract: Systems, apparatuses and methods may provide for power adapter technology that includes an adapter plug having a housing, a plurality of contacts positioned within the housing, wherein the plurality of contacts includes one or more configuration channel contacts, and a piezoelectric membrane positioned on an external surface of the housing, wherein the piezoelectric membrane is electrically connected to the one or more configuration channel contacts. Additionally, sink device technology may detect a signal from the piezoelectric membrane of the adapter plug via the configuration channel contact(s), wherein the signal indicates user contact with the adapter plug, and disconnect a bulk capacitor from a receptacle adjacent to the adapter plug in response to a disconnect condition associated with the user contact.

Abstract: The present invention discloses a pharmaceutical composition comprising 1-{3-[9-methoxy-7-(2-methoxyphenyl)-2,3,4,5-tetrahydro-1,4-benzoxazepine-4-carbonyl]phenyl}imidazolidin-2-one; N-tert-butyl-2-{N-[(furan-2-yl)methyl]-2-[5-(4-methylphenyl)-2H-1,2,3,4-tetrazol-2-yl]acetamido}-2-(4-hydroxyphenyl)acetamide; 3-[2-(2-{[(6-hydroxy-2,4-dioxo-1,2,3,4-tetrahydropyrimidin-5-yl)(4hydroxyphenyl) methyl]amino}-4-oxo-4,5-dihydro-1,3-thiazol-5-yl) acetamido]benzoic acid; 2-oxo-2-(1H-pyrrol-2-yl)ethyl 2-[(4-fluorophenyl)methoxy]benzoate; and 5-(3-{[(3-bromo-4-hydroxy-5 methoxyphenyl) methylidene]amino}-2 (butylimino)-2,3-dihydro-1,3-thiazol-4-yl)-2-hydroxybenzamide. The components are small molecule antagonists that increase the intracellular nitric oxide level by inhibiting the interaction between Nitric oxide synthase interacting proteins and inducible Nitric oxide synthase.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: A method for facilitating payment transactions includes receiving, by a server, a flash code request indicative of a transaction amount. A flash code associated with the transaction amount is communicated by the server to the payer device. The flash code is encoded into a flash pattern at the payer device and communicated to a payee device of a payee for executing a payment transaction between the payer and the payee. A first request for the payment transaction is received by the server from the payee device. The first request includes the flash code obtained by decoding the flash pattern at the payee device. The flash code included in the first request is validated by the server. Based on successful validation of the flash code, the transaction amount is deducted from a payer account of the payer and credited to a payee account of the payee.

Abstract: Embodiments include herein are directed towards a method for electronic circuit design. Embodiments may include enabling data transmission between plurality of protocol adapters, each of the protocol adapters including one ingress port and one egress port, wherein the ingress port of each of the plurality of protocol adapters maintains an active connection with a single egress port at one time. Embodiments may further include transmitting data between the plurality of protocol adapters using a distributed routing matrix that provides an interface between the plurality of protocol adapters.

Abstract: Example apparatus disclosed herein are to process a first image of a first video segment from the image capture sensor with a machine learning algorithm to determine a first score for the first image, the machine learning algorithm to detect actions associated with images, the actions associated with labels. Disclosed example apparatus are also to determine a second score for the first video segment based on respective first scores for corresponding images in the first video segment. Disclosed example apparatus are further to determine, based on the second score, whether to retain the first video segment in the memory.

Abstract: Disclosed herein are systems and methods for the creation, management, and utilization of a multi-region virtual overlay wide area network from a plurality of special purpose network appliances. In exemplary embodiments, multiple regions are created for the virtual overlay wide area network, each region having its own network topology. At least one network appliance from each region is in communication with at least one network appliance from each other region, for inter-region connectivity within the virtual overlay wide area network. A subnet sharing protocol can be utilized to exchange routing information among each network appliance within each region, and between each region.

Abstract: Automated configuration of graphical user interface screens of industrial software applications. An application executing on a computing device utilizes a navigation model representing hierarchies of navigation items to automate placement of graphical components in appropriate locations on the graphical user interface.

Abstract: Implementations of the present disclosure generally relate to hardmask films and methods for depositing hardmask films. More particularly, implementations of the present disclosure generally relate to tungsten carbide hardmask films and processes for depositing tungsten carbide hardmask films. In one implementation, a method of forming a tungsten carbide film is provided. The method comprises forming a tungsten carbide initiation layer on a silicon-containing surface of a substrate at a first deposition rate. The method further comprises forming a tungsten carbide film on the tungsten carbide initiation layer at a second deposition rate, wherein the second deposition rate is greater than the first deposition rate.

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that generate synthetized digital images using class-specific generators for objects of different classes. The disclosed system modifies a synthesized digital image by utilizing a plurality of class-specific generator neural networks to generate a plurality of synthesized objects according to object classes identified in the synthesized digital image. The disclosed system determines object classes in the synthesized digital image such as via a semantic label map corresponding to the synthesized digital image. The disclosed system selects class-specific generator neural networks corresponding to the classes of objects in the synthesized digital image. The disclosed system also generates a plurality of synthesized objects utilizing the class-specific generator neural networks based on contextual data associated with the identified objects.

Abstract: Compositions, methods and kits are provided for treating complement related disorders in a subject with protein in combination having protein fusions of at least two of a CD46 protein, a CD55 protein and a CD59 protein or with a recombinant chimeric protein having at least two of a CD46 protein, a CD55 protein and a CD59 protein or with nucleic acids encoding these proteins. The composition negatively modulates classical and alternative complement pathways thereby treating complement related disorder such as macular degeneration, age-related macular degeneration, diabetic retinopathy, inflammatory bowel disease, thyroiditis, cryoglobulinaemia, fetal loss, organ graft rejection, cancer, etc.

Abstract: Forecasting solutions including customization of raw data using uncertainty coefficient and using ensemble neural network architecture. The raw data is customized by cleaning and augmenting to obtain a processed dataset that is non-discreet and continuous, and; the ensemble neural network architecture is customized to include plurality of dependent and independent features to obtain ensembled weights from ensemble recurrent neural network (RNN) type architecture, a one versus rest ensemble RNN architecture and a forest of ensemble, to obtain an appropriate forecasting model that includes dynamically adaptive weights from ground truth along with the ensembled weights to create a final weighted output such that the final weighted output/forecast result has more accuracy and reduced false positives. The present invention allows for feedback mechanism from disruptive forecasting results if any from query module to go back to training module that enhances the accuracy of the next result without re-training.

Abstract: A system for guiding a cutting tool in an osteotomy procedure includes a cutting block. The cutting block includes an aperture extending through a thickness of the cutting block and having a length and a width. The width of the aperture is defined between a first interior surface of the cutting block and a second interior surface of the cutting block opposing the first interior surface. The system further includes a sleeve. The sleeve includes a slot configured for receiving a sawblade and configured for insertion into the aperture of the cutting block such that the sleeve contacts either the first interior surface or the second interior surface without contacting the other interior surface.

Abstract: Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.