Abstract: A device for detecting a function of a contactor, the contactor is configured to short three-phase phase lines of an elevator motor together by closing contacts, the device including: a voltage signal source coupled with the contactor; a voltage detection unit coupled with the three-phase phase lines of the elevator motor; a switching unit arranged between the contactor and the voltage signal source and between the voltage detection unit and the three-phase phase lines, in a detection mode, the switching unit is configured to conduct the voltage signal source to the contactor to provide a voltage detection signal to the three-phase phase lines via the contactor and to conduct the voltage detection unit to the three-phase phase lines, the voltage detection unit being configured to measure voltage of the three-phase phase lines and to output measurement to a control unit.

Abstract: In some examples, an electronic device includes a machine learning circuit to detect a user break from an online meeting based on a video stream. In some examples, the machine learning circuit is to send an indicator in response to detecting the user break. In some examples, the electronic device includes a processor coupled to the machine learning circuit. In some examples, the processor is to replace a portion of the video stream with substitute video in response to the indicator.

Abstract: A method for measuring disaster resilience of urban public services includes the following steps: constructing a residence-service-transportation space network under normal conditions; removing, through disaster simulation, failed road segments and function nodes to construct a damaged residence-service-transportation space network; calculating a per capita accessible public service of each residential node to represent network performance; calculating a change rate of the per capita accessible public service level before and after the disaster; and drawing a relation curve between the change rate and the disaster intensity to measure the disaster resilience of the urban public services.

Abstract: Polymers based on poly(aryl alkylene) that are capable of crosslinking in a controlled manner are provided. Crosslinked anion exchange membranes or anion exchange ionomers formed from these polymers not only have superior chemical stability and hydroxide conductivity but also have decreased water uptake and improved mechanical stability.

Abstract: Tricyclic PI3k inhibitor compounds of Formula I with anti-cancer activity, anti-inflammatory activity, or immunoregulatory properties, and more specifically with PI3 kinase modulating or inhibitory activity are described. Methods are described for using the tricyclic PI3K inhibitor compounds of Formula I for in vitro, in situ, and in vivo diagnosis or treatment of mammalian cells, organisms, or associated pathological conditions. Formula I compounds include stereoisomers, geometric isomers, tautomers, and pharmaceutically acceptable salts thereof. The dashed lines indicate an optional double bond, and at least one dashed line is a double bond. The substituents are as described.

Abstract: A polyacrylamide-based symmetric branched polymer surfactant and a process for preparing the same and use thereof are provided. The surfactant has an acrylamide structure unit, an anionic monomer structure unit, an optional non-ionic monomer structure unit, a branched structure unit, and an optional cationic monomer structure unit. The branched structure unit has at least one of structures represented by formula (1) or formula (2): The polymer surfactant can realize both the high viscosity of the aqueous solution and the low oil water interfacial tension, and can be used as the oil displacement agent in the tertiary oil recovery.

Abstract: Methods, systems, and computer program products are provided for encoding feature interactions based on tabular data. An exemplary method includes receiving a dataset in a tabular format including a plurality of rows and a plurality of columns. Each column is indexed to generate a position embedding matrix. Each column is grouped based on at least one tree model to generate a domain embedding matrix. An input vector is generated based on the dataset, the position embedding matrix, and the domain embedding matrix. The input vector is inputted into a first multilayer perceptron (MLP) model to generate a first output vector, which is transposed to generate a transposed vector. The transposed vector is inputted into a second MLP model to generate a second output vector, which is inputted into at least one classifier model to generate at least one prediction.

Abstract: Provided are systems, methods, and computer program products for dynamic peer group analysis for systematic changes in large scale data. Data associated with a plurality of entities is received and a relational graph is generated based on the data. A target entity is selected and a peer group for the target entity is determined based on the relational graph. An average and a standard deviation of the risk scores of the peer group are calculated and used to determine whether a systematic change in the behavior of the peer group has occurred. Whether a change in behavior of the target entity is a false anomaly or a true anomaly is determined based on whether a systematic change in the behavior of the peer group has occurred. An action is performed based on whether the change in behavior of the target entity is a false anomaly or a true anomaly.

Abstract: An online concierge system detects acquired items included among an inventory of a customer and identifies one or more candidate available items from the acquired items based on a predicted perishability of each item and a predicted amount of each item that was used. The system retrieves recipes, matches the item(s) likely to be available to a set of recipes based on their ingredients, and identifies any remaining items for each matched recipe not likely to be available. The system retrieves a set of attributes associated with the customer and the set of recipes and computes a suggestion score for each recipe based on the attributes. The system ranks the recipes based on their scores, identifies one or more recipes for suggesting to the customer based on the ranking, and sends the recipe(s) and any remaining items for each recipe to a client device associated with the customer.

Abstract: Methods, systems, and computer program products may formulate an iterative data mix up problem into a Markov decision process (MDP) with a tailored reward signal to guide a learning process. To solve the MDP, a deep deterministic actor-critic framework may be modified to adapt a discrete-continuous decision space for training a data augmentation policy.

Abstract: An online concierge system detects acquired items included among an inventory of a customer and identifies one or more candidate available items from the acquired items based on a predicted perishability of each item and a predicted amount of each item that was used. The system retrieves recipes, matches the item(s) likely to be available to a set of recipes based on their ingredients, and identifies any remaining items for each matched recipe not likely to be available. The system retrieves a set of attributes associated with the customer and the set of recipes and computes a suggestion score for each recipe based on the attributes. The system ranks the recipes based on their scores, identifies one or more recipes for suggesting to the customer based on the ranking, and sends the recipe(s) and any remaining items for each recipe to a client device associated with the customer.

Abstract: Polymers with piperidinium-functionalized groups are provided. The hydroxide (anion) exchange membranes or hydroxide (anion) exchange ionomers formed from these polymers exhibit superior chemical stability, hydroxide conductivity, decreased water uptake, good solubility in selected solvents, and improved mechanical properties upon tuning the polymer structure the combination and ratios of various aromatic and ketone units.

Abstract: Methods, systems, and computer program products may formulate an iterative data mix up problem into a Markov decision process (MDP) with a tailored reward signal to guide a learning process. To solve the MDP, a deep deterministic actor-critic framework may be modified to adapt a discrete-continuous decision space for training a data augmentation policy.

Abstract: An X-ray-based test device for a plugging removal effect of a sulfur dissolvent on a sulfur deposition rock sample includes a constant speed and pressure pump, a first intermediate container, a second intermediate container, a first pressure transmitter, a core holder, a second pressure transmitter, a first electric pump, a third intermediate container, a back-pressure valve, a gas flow meter, an H2S neutralization tank, a second electric pump, a back-pressure transmitter, a confining pressure transmitter, an X-ray generator, an X-ray detector and a thermotank. A sour gas sample is placed in the first intermediate container, and nitrogen is filled in the second intermediate container. The sulfur dissolvent is placed into the third intermediate container. A confining pressure inlet is formed in the core holder. The test device may be used for evaluating the plugging removal effect of the sulfur dissolvent injected into the sulfur deposition rock sample.

Abstract: T cell receptors that specifically recognize hAFP158 and methods of their use are provided.

Abstract: Described are a system, method, and computer program product for denoising sequential machine learning models. The method includes receiving data associated with a plurality of sequences and training a sequential machine learning model based on the data associated with the plurality of sequences to produce a trained sequential machine learning model. Training the sequential machine learning model includes denoising a plurality of sequential dependencies between items in the plurality of sequences using at least one trainable binary mask. The method also includes generating an output of the trained sequential machine learning model based on the denoised sequential dependencies. The method further includes generating a prediction of an item associated with a sequence of items based on the output of the trained sequential machine learning model.

Abstract: The present disclosure provides bifunctional compounds as HPK1 degraders via ubiquitin proteasome pathway, and method for treating diseases modulated by HPK1.

Abstract: An example non-transitory machine-readable medium includes instructions that, when executed by a processor, cause the processor to analyze a video captured by a computing device to detect a sequence of motion in the video, and select an audio endpoint of the computing device based on the sequence of motion.