Abstract: Provided are methods of preparing an electrochemically active cathode material including the steps of combining an alkali metal-containing nickel oxide having a formula A1?aNi1+aO2, wherein A comprises an alkali metal and 0<a?0.2, with a fluid composition including an oxidant comprising a peroxydisulfate salt, a monopersulfate salt, or a combination thereof to form a mixture, heating the mixture to a temperature of 50° C. or greater; and maintaining the mixture at the temperature for at least a period of time sufficient to form an alkali metal-deficient nickel oxide electrochemically active cathode material having a general formula AxHyNi1+aO2·nH2O, wherein A comprises an alkali metal; 0.08?x<0.2; 0?y<0.3; 0.02?a?0.2; and 0<n<2.

Abstract: Systems and methods for incident response using artificial intelligence for information technology operations are disclosed. In one embodiment, a method may include an incident response computer program executed by an electronic device: (1) receiving an incident ticket for an incident involving a computer product or a computer system within an organization from a service management platform for the computer product or the computer system; (2) providing incident information from the incident ticket to a trained incident response machine learning engine, wherein the trained incident response machine learning engine is trained to predict a solution for the incident based on historical incident data; (3) receiving, from the trained incident response machine learning engine, a predicted solution for the incident; and (4) providing the predicted solution to the service management platform. The service management platform provides the predicted solution to the computer product or the computer system.

Abstract: A method includes: creating a training data set based on user input, the training data set including time series data of a price of an asset and stochastic event data of events related to the asset; creating an event intensity model that models an event intensity parameter of one of the events related to the asset, wherein the event intensity model comprises a proximal graphical event model (PGEM), and the creating the event intensity model includes learning parameters of the PGEM using machine learning and the training data set; creating a probabilistic time series model that predicts a probability distribution of a return of the asset, wherein the creating the probabilistic time series model includes learning parameters of the probabilistic time series model using machine learning and the training data set; and predicting a future return of the asset for a future time period using the probabilistic time series model.

Abstract: Processing chambers including at least one gas reservoir connected to and in fluid communication with the lid through a fast-switching valve and a gas reservoir line are described. Processing methods, for example, etching methods, using the processing chambers are also described.

Abstract: Described herein are compounds of Formula I, wherein the variables are defined herein, their use as HSD17B13 inhibitors and/or degraders, pharmaceutical compositions containing such compounds and their use to treat, for example, NAFLD and NASH.

Abstract: A method includes receiving a training dataset that includes one or more spoken training utterances for training an automatic speech recognition (ASR) model. Each spoken training utterance in the training dataset paired with a corresponding transcription and a corresponding target sequence of auxiliary tokens. For each spoken training utterance, the method includes generating a speech recognition hypothesis for a corresponding spoken training utterance, determining a speech recognition loss based on the speech recognition hypothesis and the corresponding transcription, generating a predicted auxiliary token for the corresponding spoken training utterance, and determining an auxiliary task loss based on the predicted auxiliary token and the corresponding target sequence of auxiliary tokens. The method also includes the ASR model jointly on the speech recognition loss and the auxiliary task loss determined for each spoken training utterance.

Abstract: Devices, systems and methods for detecting a position of an object with a robot surgical system having an articulable, separable camera stand. The surgical robot system may include a robot having a robot base with a robot arm and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, other objects, or any combination thereof, may be tracked via active and/or passive tracking markers. A camera, such as an infrared camera, a bifocal camera or a stereophotogrammetric infrared camera, is mounted on a separable camera stand and is able to detect the tracking markers when in use. Using the camera, the robot determines a position of the object from the tracking markers, which may be a three-dimensional position of the object or the markers. When convenient, the camera base may be assembled into the robot base, e.g., by sliding the camera base into the robot.

Abstract: Provided herein are compounds of Formula (I), or pharmaceutically acceptable salts thereof, pharmaceutical compositions that include a compound described herein (including pharmaceutically acceptable salts of a compound described herein) and methods of synthesizing the same. Also provided herein are methods of treating diseases and/or conditions with a compound of Formula (I), or a pharmaceutically acceptable salt thereof.

Abstract: Provided herein are compounds of formula (II): or a stereoisomer or tautomer thereof, or a pharmaceutically acceptable salt of any of the foregoing, wherein m, n, p, R1, R2, R3, L1, L2, L3, R4, X1, X2, X3, and X4 are as defined herein. Also provided are methods of preparing compounds of formula (II), or a stereoisomer or tautomer thereof, or a pharmaceutically acceptable salt of any of the foregoing. Also provided are methods of inhibiting APOL1 and methods of treating an APOL1-mediated disease, disorder, or condition in an individual.

Abstract: Disclosed are biomarkers, methods and assay systems for the identification of poor prognosis of interstitial pneumonia (pulmonary fibrosis) in an individual diagnosed with suspected of having interstitial pneumonia.

Abstract: Apparatus include a first laser diode situated to emit a beam from an exit facet along an optical axis, the beam as emitted having perpendicular fast and slow axes perpendicular to the optical axis, a first fast axis collimator (FAC) optically coupled to the beam as emitted from the exit facet and configured to direct the beam along a redirected beam axis having a non-zero angle with respect to the optical axis of the first laser diode, a second laser diode situated to emit a beam from an exit facet of the second laser diode along an optical axis parallel to the optical axis of the first laser diode and with a slow axis in a common plane with the slow axis of the first laser diode, and a second fast axis collimator (FAC) optically coupled to the beam as emitted from the exit facet of the second laser diode and configured to direct the beam along a redirected beam axis having a non-zero angle with respect to the optical axis of the second laser diode.

Abstract: A controller of a chemical mechanical polishing system is configured to cause a carrier head to sweep across a polishing pad in accord with a sweep profile. The controller is also configured to select values for a plurality of control parameters to minimize a difference between a target removal profile and an expected removal profile. The plurality of control parameters include a plurality of dwell time parameters. A relationship between the plurality of control parameters and a removal rate is stored in a data structure representing a first matrix which includes a plurality of columns including a column for each dwell time parameter and a row for each position on the substrate represented in the expected removal profile, and the controller is configured to, as part of selection of the values, calculate the expected removal profile by multiplying the first matrix by a second matrix representing control parameter values.

Abstract: A process includes accessing a first message that is sent from an access point device. The first message includes data representing a second message that is sent by a client device. The second message is part of an exchange of messages between the client device and the access point device associated with authentication of the client device and a derivation of a first key used to encrypt and decrypt data communicated between the client device and the access point device. The second message includes a first message integrity check value. The process includes identifying, based on the second message, a pre-shared key corresponding to the client device.

Abstract: A method of operating an engine includes operating the engine in first and second engine operating map regions by performing passive jet ignition combustion with a first stoichiometric fuel mixture and a first volume of residual gas. The engine is operated in a third engine operating map region by performing turbulent jet controlled compression ignition (TJCCI) with an ultra lean fuel mixture and a first volume of cooled exhaust gas recirculation, a fourth engine operating map region by performing passive jet ignition combustion with a third stoichiometric fuel mixture and a second volume of cooled exhaust gas recirculation, and a fifth engine operating map region, characterized by shutting off the engine. The engine is operated in a mode transition region between the second, third, and fourth engine operating map regions by performing passive jet ignition combustion with a second stoichiometric fuel mixture and a second volume of residual gas.

Abstract: A method of predicting temperature of at least one location in a fluid flow system that has a heating system for heating fluid. The method includes obtaining a mass flow rate of fluid flow of the fluid flow system, obtaining at least one of a fluid outlet temperature and a fluid inlet temperature of a heater of the heating system, obtaining power provided to the heater, and calculating temperature at the at least one location based on a model of the fluid flow system and the obtained mass flow rate, fluid outlet temperature, and fluid inlet temperature.

Abstract: Systems and methods for supporting both batch processing and streaming data applications, to load and process data incrementally, while providing a near-constantly materialized dataset based on raw blockchain data, are described. For example, the system may receive first on-chain data in a first format via a first input stream, wherein the first on-chain data originates from a blockchain node of a blockchain network. The system may transform the first on-chain data to a second format for storage in a second dataset, wherein the second format comprises an unbounded table.

Abstract: This application describes systems and methods for generating machine learning models (MLMs). An exemplary method includes obtaining a sample and user input data characterizing a product or service. A subset of the data is selected from the sample based on sampling the sample according to the user input data. An MLM is trained by applying the data subset as training input to the MLM, thereby providing a trained MLM to emulate a customer selection process unique to the product or service. A user interface (UI) configured to receive other user input data and cause the trained MLM to execute on the other user input data, thereby testing the trained MLM, is presented. A summary of results from the execution of the trained MLM is generated and presented in the UI. The summary of results indicates a contribution to the trained MLM of each of a plurality of features.

Abstract: The present invention is directed to cinnolinyl and quinolinyl pyrazol-4-yl-pyridine compounds which are allosteric modulators of the M4 muscarinic acetylcholine receptor. The present invention is also directed to uses of the compounds described herein in the potential treatment or prevention of neurological and psychiatric disorders and diseases in which M4 muscarinic acetylcholine receptors are involved. The present invention is also directed to compositions comprising these compounds. The present invention is also directed to uses of these compositions in the potential prevention or treatment of such diseases in which M4 muscarinic acetylcholine receptors are involved.

Abstract: A system for visualization and quantification of ultrasound imaging data according to embodiments of the present disclosure may include a display unit, and a processor communicatively coupled to the display unit and to an ultrasound imaging apparatus for generating an image from ultrasound data representative of a bodily structure and fluid flowing within the bodily structure. The processor may be configured to estimate axial and lateral velocity components of the fluid flowing within the bodily structure, determine a plurality of flow directions within the image based on the axial and lateral velocity components, differentially encode the flow directions based on flow direction angle to generate a flow direction map, and cause the display unit to concurrently display the image including the bodily structure overlaid with the flow direction map.

Abstract: The present invention relates to the production of steviol glycoside rebaudiosides D4, WB1 and WB2 and the production of rebaudioside M from Reb D4.