Abstract: The present invention provides an amplifier circuit, wherein the amplifier circuit includes an input terminal, a capacitor, an amplifier, a feedback circuit and an aliasing tone cancellation circuit. The input terminal is configured to receive a first input signal. The capacitor is coupled to the input terminal. The amplifier is configured to receive the input signal through the capacitor to generate an output signal. The feedback circuit is coupled between an input node and an output node of the amplifier, and is configured to generate a feedback signal according to the output signal, wherein the feedback circuit includes a storage block including a switched-capacitor. The aliasing tone cancellation circuit is coupled between the input terminal of the amplifier circuit and the input node of the amplifier, and configured to generate a signal to cancel or reduce an aliasing tone of the feedback signal according to the input signal.

Abstract: There is provided herein a process for the synthesis of sulfonyl silanes. There is also provided herein various sulfenylated and sulfonylated silicon-containing compounds made by the process.

Abstract: An example method of upgrading a host in a cluster under management of a lifecycle manager in a virtualized computing system includes: receiving, from the lifecycle manager at a host in the cluster being upgraded, a desired software specification for a hypervisor of the host; determining, by the host, a list of required software installation bundles (SIBs) to satisfy the desired software specification; identifying a neighboring host in the cluster for the host; downloading, from the neighboring host to the host, at least a portion of the required SIBs; and executing an upgrade of the hypervisor in the host using the required SIBs.

Abstract: A method for generating computational predictions associated with a real-world entity is disclosed. The method comprises analyzing knowledge from a plurality of data sources; determining investment objectives associated with the real-world entity; applying, a plurality of ensembles of machine learning models to each of the plurality of data sources to conduct a combinatorial analysis of the plurality of data sources; generating, by colonies of Artificial Intelligence (AI) colonizers, intermediary outputs; analyzing the intermediary outputs in a weighted combination to generate weighted outputs; and assembling, by a supervisory algorithm, the weighted outputs based on the investment objectives to generate a computational prediction associated with the real-world entity.

Abstract: An apparatus is provided for forcing a service technician to follow a proper servicing sequence that reduces the potential for an electric shock. Embodiments of the latch mechanism maintain a cable connection unless a tray connector is first disconnected. Embodiments enforce the disconnect sequence using a trigger that is actuated by the disconnecting of the tray connector, a latch-lock in the cable connector that is biased to block a cable connector disconnect mechanism, and a mechanical link between the trigger and the latch-lock. The actuation of the trigger is transmitted by the mechanical link to the latch-lock, which moves in response, unlocking the cable connector and allowing it to be disconnected.

Abstract: A system for reestablishing network connectivity for particular network equipment in a failed network zone comprises a processor associated with a server. The processor receives a flag that identifies the failed network zone including particular network equipment that have lost network connectivity in a network. The processor generates a first non-fungible token using the configuration information associated with each of the particular network equipment. The processor determines routing information based at least in part upon the configuration information and a network topology. The processor generates a second non-fungible token based at least in part upon the routing information. The processor aggregates the first non-fungible token and the second non-fungible token to generate a primary non-fungible token. The processor reestablishes network connectivity for at least a portion of the particular network equipment based at least in part upon information associated with the primary non-fungible token.

Abstract: A method manages a group of Unmanned Aerial Vehicles (UAVs) operable to fly in a formation. Each UAV is programmed with a task to be performed by the UAV. The method is performed in a controller UAV of the group and comprises receiving UAV status information from UAVs in the group, obtaining information on a current formation of the group and combining the received UAV status information with the information on current group formation to form a representation of a first state of the group. A machine learning model is used to predict, based on the first state of the group, an optimal formation transition to a new formation and to instruct the UAVs in the group to perform the predicted optimal formation transition, which is a transition to a formation that will minimise predicted total energy consumption for all UAVs in the group to complete their tasks.

Abstract: A novel phase-shift based modulation strategy is disclosed that enables a DC-DC converter to operate with zero voltage-switching (ZVS) across wide voltage and power range. The converter operates at a fixed fundamental frequency, with the output current controlled based on an amount of phase shift of the fundamental component at the output of an inverter portion of the converter. To achieve soft switching a rectifier portion of the converter is controlled to phase shift the fundamental component of the rectifier voltage observed at a rectifier reference terminal. More specifically, by requiring a phase shift of the voltage at the rectifier terminal relative to the output voltage of the inverter, the inverter current is such that ZVS is achieved. A converter and method are provided to implement DC-DC conversion with soft switching.

Abstract: In aspects of personal content managed during extended display screen recording, a screen recording system includes a wireless device that provides digital image content for display on an extended display device, and a screen recording session on the wireless device captures the digital image content and audio data. The wireless device implements a content control module that can determine the screen recording session would capture personal content associated with a user of the wireless device. The content control module can initiate a private screen review mode in which the personal content is displayable on a display screen of the wireless device and is prevented from visual display on the extended display device. The content control module can also generate a shareable screen recording that includes the audio data and the digital image content displayed on the extended display device, without including the personal content.

Abstract: The present invention relates to compounds of formula (I), or their isotopic forms, stereoisomers, tautomers or pharmaceutically acceptable salt (s) thereof as muscarinic M1 receptor positive allosteric modulators (M1 PAMs). The present invention describes the methods of preparation, pharmaceutical composition, combinations and the use of compound formula (I), their stereoisomers, isotopic forms or pharmaceutically acceptable salts thereof.

Abstract: The embodiments disclosed herein relate to various medical device components, including components that can be incorporated into robotic and/or in vivo medical devices. Certain embodiments include various modular medical devices for in vivo medical procedures.

Abstract: Systems and methods disclosed herein improve on current technology for block-level data replication to cloud computing environments. A new system architecture deploys one or more replication tail proxies in a cloud computing environment, locally (at the cloud) tracks replicated data and determines which replicated data meet criteria for reconstructing a desired point-in-time in the cloud, and persists data blocks received at the replication tail proxy until they are processed as recovery points. The disclosed approach presents resiliency and performance advantages. First, the resiliency of block-level data replication to cloud is improved by deploying the replication tail proxy in the destination cloud. Second, a Recovery Time Objective (RTO) is reduced by enabling faster cloud deployment of virtual machines for disaster recovery, failover, and/or test purposes based on the replicated data.

Abstract: In general, this disclosure describes techniques for a containerized router operating within a cloud native orchestration framework. In an example, a virtualized cell site router comprises a computing device configured with a containerized router, the computing device comprising: a containerized virtual router configured to execute on the processing circuitry and configured to implement a data plane for the containerized router; a containerized routing protocol process configured to execute on the processing circuitry and configured to implement a control plane for the containerized router; and a pod comprising a containerized distributed unit, wherein the containerized routing protocol process is configured to advertise routing information comprising reachability information for the containerized distributed unit.

Abstract: Systems and methods for determining semantic relationships in digital content are provided. Digital content may be processed to detect and extract one or more entities present in at least a subset of the digital content. The entities may include at least one image and at least one body of text. One or more aspects of the entities may be analyzed to filter out a subset of the entities based on a determined importance of the entities to the subset of the digital content. An anchor entity may be determined from one or more remaining entities after the filtering. Relationships between the one or more remaining entities and the anchor entity may be determined, and a presentation pattern for presenting the related entities may be determined. The presentation pattern may be stored to a repository and used as training data to detect future relationships within digital content.

Abstract: A system and method are provided for applying mechanical strain to a specimen of tissues and/or cells, for measuring the deformation of the specimen caused by the mechanical strain and for recording the deformation history for the specimen. The system comprises a specimen holder configured to hold a specimen and a strain-inducing apparatus coupled to the specimen holder and configured to apply a straining displacement of a preselected magnitude in at least a first preselected direction to the specimen to strain the specimen in a preselected manner. A measurement tool of the system measures the deformation of the specimen caused by the mechanical strain and a recording tool of the system records the deformation history for the specimen in memory.

Abstract: Devices and systems are provided for improved article sortation. An example sortation device includes a frame and a sortation table movably attached to the frame. The sortation table defines a first end, a second end opposite the first end, and a body extending therebetween. The second end pivotally attaches the sortation table to the frame, and the body defines a first surface configured to support an article thereon. The sortation device performs a tilt operation in which the sortation table rotates about the pivotal attachment between the second end and the frame in a first direction. The sortation device also performs a bomb bay operation in which the sortation table rotates about the pivotal attachment between the second end and the frame in a second direction opposite the first direction. An example sortation system is provided that includes two or more of the example sortation devices.

Abstract: Pharmaceutical formulation comprising centanafadine or a pharmaceutically acceptable salt thereof and an excipient, and related methods of manufacture and use, are disclosed.

Abstract: Methods and systems are described for web object maintenance in a software application testing environment using reinforcement learning. A server detects failure of a test script caused by a web object of the software application. The server identifies the web object that caused the failure using code elements extracted from a webpage, including: determining, for each code element, actions to be performed against the code element, executing a deep neural network model to generate a reward value by applying each action to properties of the code element, selecting the code element having a maximum reward value, and classifying the code element upon comparing properties of the selected code element to properties of web objects in a repository. The server updates a web object in the repository to comprise the selected code element and the properties. The server resumes execution of the test script using the updated web object.

Abstract: The present invention provides a ready to use stable aqueous dosage form of norepinephrine comprising an aqueous solution of norepinephrine or its pharmaceutically acceptable salt, one or more sulfite antioxidants and an ion chelator. The present invention also provides an infusion container filled with an aqueous solution of norepinephrine or its pharmaceutically acceptable salt, wherein the said solution is stable for a prolonged period of time and can be terminally sterilized by autoclaving.

Abstract: Some embodiments include a system and method of providing a historian that receives operational state data from a device of an industrial process of a network, where the operational state data is stored as time-series data, and processing at least one data query from at least one user coupled to the network. Based at least in part on the at least one data query and at least one dynamic cycle, at least some of the time-series data is retrieved, where the dynamic cycle is based on at least one tag associated with the time-series data. Further, based at least in part on at least some of the time-series data, at least one graphical representation of one or more tags is displayed, where each tag of the one or more tags represents an attribute of at least one process associated with the at least one device.