Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize artificial intelligence approaches for determining health indicators for the identity management state of an enterprise. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize one or more components to generate signals associated with the identity management state of an enterprise based on a network identity graph and evaluate feature spaces of these input signals from these components based on a global objective function or the like.

Abstract: This disclosure concerns production of product peptides with a target amino acid sequence by proteolysis of a recombinant polypeptide comprising specific protease recognition sites or chemical cleavage sequences. In some embodiments, the product peptide is released from repeating peptide units in the recombinant polypeptide by removal of intervening amino acid sequences by proteolysis by proteases that recognize sites within the intervening amino acid sequences and a carboxypeptidase, aminopeptidase, and/or further protease.

Abstract: A hydrocarbon management system comprises a flare boom configured to connect to a drilling or production rig. The flare boom is configured to combust at least a portion of hydrocarbon fluids flowed from the rig to the flare boom. A catcher is configured to be spatially positioned relative to the end of the flare boom. The catcher comprises a diverter positioned to divert a flow of uncombusted hydrocarbon liquids from the flare boom, and a container configured to receive the uncombusted hydrocarbon liquids diverted by the diverter.

Abstract: Intermediate temperature metallization pastes containing vanadium are disclosed. The metallization pastes can be used to fabricate electrodes interconnected to a transparent conductor.

Abstract: A system can include a producer device to receive reference data from a reference station. The system can include a queue device to store a reference message, corresponding to the reference data, in a message queue. The system can include a mapping device to store mapping information indicating that the message queue is associated with the reference station. The system can include a consumer device to identify the message queue as being associated with a microservice to be provided to a client device based on a microservice request. The message queue can be identified based on the mapping information. The consumer device can obtain the reference message from the message queue, generate corrections data associated with the client device, and provide the corrections data.

Abstract: A new heterogeneous catalyst for various organic oxidation processes and a method of making the same by a successful immobilization of a copper (II) bis-Schiff base hydrazone complex on the surface of a composite ZnO—TiO2 to afford as active catalyst CuL2Cl2@ZnO—TiO2. This novel catalyst can be used to selectively oxidize benzyl alcohol to benzaldehyde.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing identities or entitlements of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity governance systems may include an intelligent decision support agent to provide an approval or denial recommendation for an access request. To provide an approval or denial recommendation, the intelligent agent may utilize a classifier trained on historical certification data. The intelligent agent may utilize features which represent relevant signals to the approval or denial decision including features that may be associated with a network graph of the identities and entitlements of the enterprise computing environment.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing identities, roles, entitlements or other identity management artifacts of a distributed networked enterprise computing environment. Specifically, embodiments of an artificial intelligence based identity management systems may perform predictive modeling for entitlement diffusion or role evolution or other aspects of identity management artifact using network identity graphs.

Abstract: Systems and methods for embodiments of graph based and machine learning artificial intelligence systems for generating access item recommendations in an identity management system are disclosed. Embodiments of the identity management systems disclosed herein may utilize a graph based approach, a machine learning based approach, and hybrid combinations thereof for generating access item recommendations.

Abstract: This disclosure concerns production of product peptides with a target amino acid sequence by proteolysis of a recombinant polypeptide comprising specific protease recognition sites or chemical cleavage sequences. In some embodiments, the product peptide is released from repeating peptide units in the recombinant polypeptide by removal of intervening amino acid sequences by proteolysis by proteases that recognize sites within the intervening amino acid sequences and a carboxypeptidase, aminopeptidase, and/or further protease.

Abstract: An automated method for centralized management of an enterprise-level cybersecurity maturity assessment includes (1) building a cybersecurity maturity assessment plan, (2) sending assessment questionnaires to subject matter experts (SMEs), (3) receiving completed questionnaires from the SMEs along with corresponding evidence artifacts relevant to the questionnaires; (4) sending the received questionnaires and corresponding artifacts to a cybersecurity maturity core team; (5) receiving verified and unverified questionnaires and corresponding artifacts sent to and analyzed by the core team; (6) repeating (2) through (5) for the unverified questionnaires and corresponding artifacts until the received questionnaires and corresponding artifacts are all verified; and (7) sending the verified questionnaires and corresponding artifacts to external assessors.

Abstract: Systems and methods for embodiments of incremental training of machine learning model in artificial intelligence systems are disclosed. Specifically, embodiments of incremental training of machine learning models using drift detection models are disclosed, including embodiments that utilize drift detection models to determine drift based on identity graphs in artificial intelligence identity management systems.

Abstract: Synchronization Signal Block (SSB) management for new radio may be achieved through indication of a maximum number of beams for beamforming and/or through mechanisms for handling plural candidate SSBs. For example, a User Equipment (UE) may search a Primary Synchronization Signal (PSS) and/or a Secondary Synchronization Signal (SSS) to decode a Physical Broadcast Channel (PBCH) payload comprising and indication of a maximum number of beams (Q) supporting beamforming, e.g., in new radio unlicensed spectrum, and determine, based the indicator, Quasi Co-Located (QCL) Synchronization Signal Blocks (SSBs). Similarly, a UE may determine, from the PBCH payload, a primary DeModulation Reference Signal (DMRS) from which the UE may determine selection bits for an SSB. The UE may also determine, based a frequency range in use, to perform a secondary detection and based on the secondary detection, alter selection bits for accessing the SSB index.

Abstract: A section of casing within a wellbore is milled. After milling the section of the wellbore, the section of the wellbore is underreamed through to a next layer of casing. A setting fluid is squeezed into the section. The setting fluid penetrates micro-channels exposed by the milling and underreaming. A scab liner is installed over the section. The scab liner is secured within the wellbore.

Abstract: An exit device according to one embodiment includes a plurality of sensors and an electronic dogging mechanism. The exit device is configured to locally analyze sensor data to determine the security state of the exit device, report data to a management system via a wireless communication channel established between the exit device and the management system, and receive and process instructions to perform an electronic dogging operation.

Abstract: An apparatus includes a sample-and-hold (S/H) circuit. The S/H circuit includes a first switch coupled to provide an input signal to be sampled, and a second switch coupled to the first switch and to a first capacitor. The S/H circuit further includes a third switch coupled to the second switch and to a second capacitor, and a fourth switch to selectively couple to ground a node between the first and second switches.

Abstract: Screen-printable metallization pastes for forming thin oxide tunnel junctions on the back-side surface of solar cells are disclosed. Interdigitated metal contacts can be deposited on the oxide tunnel junctions to provide all-back metal contact to a solar cell.

Abstract: A system and method maintain communication service quality in a network. The method comprises providing a network of nodes including a network component and at least two user endpoints, implementing a physical connection between at least two nodes in the network, implementing virtual connections between all of the nodes using a metering module disposed in at least one node which meters actual traffic on the physical connections at the nodes, generating synthetic traffic on the virtual connections to simulate traffic by the at least two user endpoints, metering the synthetic traffic on the virtual connections at the nodes using the metering module, generating traffic data metrics from the actual traffic and the synthetic traffic in the network, diagnosing network connectivity from the traffic data metrics using a diagnostic module, and rectifying quality-related issues of the network from the diagnosed network connectivity using a remediation module. The system implements the method.

Abstract: Systems and methods for embodiments of incremental training of machine learning model in artificial intelligence systems are disclosed. Specifically, embodiments of incremental training of machine learning models using drift detection models are disclosed, including embodiments that utilize drift detection models to determine drift based on identity graphs in artificial intelligence identity management systems.

Abstract: A first three state driver injects a first clock signal into a crystal through an input node during a startup phase of a crystal oscillator and a second three state driver injects a second signal into the crystal through an output node during the startup phase. The first and second signals are anti-phase signals. The crystal oscillator circuit includes a first amplifier that is used during starting up and steady-state operation and includes a second amplifier. The injection through the input and output nodes is disabled after a fixed time. After injection ends, the second amplifier is turned on if voltage on the output node has reached a desired voltage and left off otherwise. If the second amplifier is turned on, the second amplifier is turned off when the voltage on the output node reaches the desired voltage.