Abstract: Techniques for a sophisticated closed-loop control system designed for the automatic regulation of SOx emissions in a Circulating Fluidized Bed Combustion (CFBC) boiler by leveraging the power of Adaptive Artificial Intelligence/Machine Learning (AI/ML) based control system, this innovative system ensures both real-time model training and implementation for dynamic and efficient SOx emission control. The present disclosure describes processing a current SOx emission, a current lime consumption value and a predefined SOx setpoint value to determine an optimal setpoint of lime consumption required to keep the SOx emission within a desired limit in real-time. Said processing includes determination of lime-SOx peak-trough curve, a response time of the boiler and the change in SOx to the change in lime. The lime consumption setpoint so determined is directly transmitted to a distributed control system to control the injection of lime in the CFBC boiler for automatic regulation of SOx emission control.

Abstract: A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.

Abstract: A clustering model is used to partition a set of historical opportunity profiles representing historical opportunities into a plurality of opportunity profile clusters. A target opportunity profile that includes a plurality of target-opportunity parameters is obtained, and an opportunity profile cluster is identified that meets a matching criterion with the target opportunity profile. The plurality of historical opportunity profiles of the identified opportunity profile cluster are partitioned based on an outcome indicator associated respectively with each of the plurality of historical opportunity profiles, providing a first subset of historical opportunity profiles and a second subset of historical opportunity profiles. An insight generation model is applied to the target opportunity profile along with the first subset and/or the second subset to generate one or more insights for the target opportunity profile.

Abstract: Systems, methods, and other embodiments associated with a bot communication system for communicating between channels and bots are described. In one embodiment, a system includes a bot manager configured to provide communication between an individual bot from a plurality of bots and a target channel of a plurality of channels. The bot manager is configured to process a bot response from the individual bot to the target channel by at least: identifying channel configuration metadata from a channel metadata repository that defines a channel dependent format for communicating data with the target channel; converting the bot response to the channel dependent format associated with the target channel including formatting data components from the bot response according to the channel configuration metadata of the target channel; and transmitting, via a network connection, the converted bot response to the target channel in the channel dependent format of the target channel.

Abstract: Systems and methods described herein provide techniques for determining a visual frailty score by processing video data of a subject. Various features maybe used to determine the visual frailty score, including but not limited to, spinal mobility features, gait measurements, behavior features, and body composition data. The various features may be extracted from the video data using different techniques. The various features may be processed using one or more machine learning models to determine the visual frailty score.

Abstract: A computer-implemented method, computer-readable medium, and computer system that involve operations including receiving, from a computing cluster, a first request for changing a first object type specified by an approval policy resource, where the approval policy resource is a first one of a plurality of custom resources; identifying, in response to receiving the first request and using a second custom resource of the plurality, an approval process associated with the first object type; performing the approval process associated with the first object type; and sending, to the computing cluster, a first notification indicating that the request has been approved.

Abstract: The present invention relates to polysilazane compositions, in particular to a composition, the use of said composition for coating a substrate, and a substrate comprising a coating made from said composition.

Abstract: Disclosed herein are short interfering nucleic acid (siNA) molecules comprising modified nucleotides and uses thereof. The siNA molecules may be double stranded and comprise modified nucleotides selected from 2?-O-methyl nucleotides and 2?-fluoro nucleotides. Further disclosed herein are siNA molecules comprising (a) a phosphorylation blocker, conjugated moiety, or 5?-stabilized end cap; and (b) a short interfering nucleic acid (siNA).

Abstract: Disclosed herein are short interfering nucleic acid (siNA) molecules comprising modified nucleotides and uses thereof. The siNA molecules may be double stranded and comprise modified nucleotides selected from 2?-O-methyl nucleotides and 2?-fluoro nucleotides. Further disclosed herein are siNA molecules comprising additional modification including a phosphorylation blocker, conjugated moiety, or 5?-stabilized end cap. The siNA molecules may reduce or inhibit the production of hydroxysteroid dehydrogenase.

Abstract: Techniques for machine learning-based data generation are provided. A patient identifier corresponding to a patient is received, and a plurality of patient records is accessed based on the patient identifier. Text data is generated by extracting textual information from the plurality of patient records using one or more text machine learning models. Clinical data is generated by processing the text data using one or more extraction machine learning models, and summarized clinical data is generated by processing the clinical data using one or more summary machine learning models. The summarized clinical data is output.

Abstract: A first power supply pad is configured to provide a first power supply to a power domain of the SoC in which the first power supply pad is configured to receive the first power supply from a source external to the SoC. A first signal pad is configured to receive a power ready signal from external the SoC which indicates when the first power supply to the power domain is fully powered up. A first power detector is configured to provide a first power detected output, which, when asserted, indicates presence of a power supply voltage on the first power supply pad. A fault detection circuit coupled to the first power detector and the first signal pad is configured to generate a set of fault flags in response to monitoring a relationship between the first power detected output and a logic state of the power ready signal.

Abstract: A processor, responsive to detecting a controller is drawing power from a battery to perform a task when a vehicle is parked and detecting a parameter indicative of a likelihood that the controller will complete the task within a predefined time period has a value less than a threshold value, generates a message for a user requesting whether the controller should be shut down without completing the task.

Abstract: A vibronic measurement sensor includes two measuring tubes for conveying the medium and two temperature sensors, each arranged on a surface portion of the measuring tubes, respectively, wherein: centroids of the two surface portions relative to an intersection line between a longitudinal plane of symmetry and the transverse plane of symmetry of the sensor are rotationally symmetrical to one another; the first centroid lies in a first section plane running perpendicular to a measuring tube center line of the first measuring tube, wherein an intersection point of the measuring tube center line with the first intersection plane is defined; and the first centroid is arranged relative to the intersection point of the measuring tube center line such that a measurement accuracy of the sensor is largely independent of the installation position, even when inhomogeneous temperature distributions are formed over measuring tube cross-sections at low Reynolds numbers.

Abstract: Disclosed herein are novel methods of treating pain in a patient in need thereof by providing to the patient a selective dopamine D3 receptor antagonist/partial agonist which when used with an opioid analgesic, can mitigate the development of opioid dependence, by preventing the need for dose escalation while either maintaining the opioid analgesic effect or providing analgesia with a lower dose of the opioid. In addition, the D3 antagonists/partial agonists described herein may be used to augment the effectiveness of current Medication Assisted Treatment regimens (e.g. methadone or buprenorphine) for the treatment of opioid use disorders.

Abstract: The present disclosure relates to compounds and compositions containing 5?-phosphoramidite nucleoside monomers, and methods of making and use.

Abstract: A defect prediction method for a device manufacturing process involving processing one or more patterns onto a substrate, the method including: determining values of one or more processing parameters under which the one or more patterns are processed; and determining or predicting, using the values of the one or more processing parameters, an existence, a probability of existence, a characteristic, and/or a combination selected from the foregoing, of a defect resulting from production of the one or more patterns with the device manufacturing process.

Abstract: Techniques for extracting data from conversations across different types of communication channels are disclosed. A system applies a set of rules to extract data from conversations based, at least in part, on a type of communication channel used for conducting the conversation. The system applies a machine learning model to recognize semantic content in conversations. The system divides conversations into conversation segments and classifies the conversation segments based on the semantic content. The system selects conversation segments to be extracted based on the semantic content and the type of communication channel over which a conversation is conducted. The system maps conversation segments from different conversations conducted on different types of communication channels to a same set of transactions.

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 described herein provide techniques for determining sleep state data by processing video data of a subject. Systems and methods may determine a plurality of features from the video data, and may determine sleep state data for the subject using the plurality of features. In some embodiments, the sleep state data may be based on frequency domain features and/or time domain features corresponding to the plurality of features.

Abstract: Modified oligonucleotides comprising modifications at the 2? and/or 3? position(s) along with methods of making and use, e.g., against HBV are disclosed.