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: 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: The present invention is directed to a hemostatic material comprising a compacted, hemostatic aggregates of cellulosic fibers. In some aspects, the hemostatic material further includes additives, such as carboxymethyl cellulose (CMC) or other polysaccharides, calcium salts, anti-infective agents, hemostasis promoting agents, gelatin, collagen, or combinations thereof. In another aspect, the present invention is directed to a method of making the hemostatic materials described above by compacting a cellulosic-based material into hemostatic aggregates. In another aspect, the present invention is directed to a method of treating a wound by applying hemostatic materials described above onto and/or into the wound of a patient.

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.

Abstract: An example computing device includes a non-volatile memory to store Basic Input/Output Systems (BIOS) data of the computing device, an audio codec, and a controller. The controller is to: receive a command from a provisioning device at the audio codec; and transfer a copy of the BIOS data between the controller and the memory based on the command.

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

Abstract: A computer obtains node embeddings, node periodicity classifications, edge embeddings, and edge periodicity classifications for each time of a time period. The computer determines subgraph embeddings based on a subgraph of the graph, times in the time period, the node embeddings for nodes in the subgraph, the edge embeddings for edges in the subgraph, the node periodicity classifications for the nodes in the subgraph, and the edge periodicity classifications for the edges in the subgraph. The computer translates each subgraph embedding of the subgraph embeddings for each time of the time period into projected subgraph embeddings. For the subgraph, the computer aggregates the plurality of projected subgraph embeddings into an aggregated subgraph embedding. The computer determines if the subgraph is periodic based upon at least the aggregated subgraph embedding.

Abstract: Alkaline-stable cations were introduced to a polyolefin bearing phenyl side chains to enable manipulation of ion exchange capacity and hot pressing technique. Hydroxide exchange membranes or hydroxide exchange ionomers formed from these polymers exhibit superior chemical stability, hydroxide conductivity, decreased water uptake, good solubility in selected solvents, and improved device stability as compared to conventional hydroxide exchange membranes or ionomers. Hydroxide exchange membrane fuel cells and hydroxide exchange membrane electrolyzers comprising the polyolefin with pendant cation provide enhanced performance and durability at relatively high temperatures.

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 example system includes an image sensor, a plurality of audio endpoints, and an electronic device comprising a controller. The controller is to receive images of a user's face from the image sensor. In addition, the controller is to detect, in the images, a gesture of the user to point to a feature on the user's face. Further, the controller is to transition between use of the plurality of audio endpoints in response to detecting the gesture.

Abstract: In some examples, an electronic device includes a processor to identify a first location based on an image captured by a camera. In some examples, the processor detects a movement of the electronic device based on sensor data generated by a sensor. In some examples, the processor identifies a second location when the movement satisfies a registration condition.