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: 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: 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.

Abstract: Poly(aryl alkylene) polymers with pendant piperidinium-functionalized groups are provided which have an alkaline-stable cation, such as imidazolium, introduced into a rigid aromatic polymer backbone free of ether bonds. 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 mechanical properties in an ambient dry state as compared to conventional hydroxide exchange membranes or ionomers. Hydroxide exchange membrane fuel cells and hydroxide exchange membrane electrolyzers comprising the poly(aryl alkylene) polymers with pendant piperidinium-functionalized groups exhibit enhanced performance and durability at relatively high temperatures.

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: 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: The present invention is directed to compressed hemostatic tablets or forms comprising a fibrous non-woven oxidized cellulose (OC or ORC) multilayer material compressed into a form stable tablet, further comprising calcium salt, with the tablets rapidly expandable on contact with blood or blood plasma. The compressed forms may further comprise a multi-arm PEG-SG and are dimensionally, preferably with regard to length and width, stable for at least 48 hours after compression. In some embodiments, the compressed forms will expand upon contact with blood from 1.5 to 5 times of tablet length in 5 seconds; from 2 to 6 times of tablet length in 20 seconds; and from 3 to 6 times of tablet length in 5 minutes. The compressed forms are effective in hemostasis in heparinized blood.

Abstract: Provided is a system for detecting an anomaly in a multivariate time series that includes at least one processor programmed or configured to receive a dataset of a plurality of data instances, wherein each data instance comprises a time series of data points, determine a set of target data instances based on the dataset, determine a set of historical data instances based on the dataset, generate, based on the set of target data instances, a true value matrix, a true frequency matrix, and a true correlation matrix, generate a forecast value matrix, a forecast frequency matrix, and a forecast correlation matrix based on the set of target data instances and the set of historical data instances, determine an amount of forecasting error, and determine whether the amount of forecasting error corresponds to an anomalous event associated with the dataset of data instances. Methods and computer program products are also provided.

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: Hydroxide-exchange membranes (HEMs) and hydroxide-exchange ionomers (HEIs) are provided which include polymers with oxidation resistant groups. The attachment of the oxidation resistant groups to the polymer backbone allows fine-tuning of the mechanical properties of the membrane and incorporation of alkaline stable cations, such as imidazoliums, phosphoniums and ammoniums, and provides enhanced stability to the polymer. HEMs/HEIs formed from these polymers exhibit superior chemical stability, anion conductivity, decreased water uptake, good solubility in selected solvents, and improved mechanical properties in an ambient dry state as compared to conventional HEM/HEIs. The HEMs exhibit enhanced stability in a highly oxidative environment.

Abstract: A method includes receiving a first data set comprising embeddings of first and second types, generating a fixed adjacency matrix from the first dataset, and applying a first stochastic binary mask to the fixed adjacency matrix to obtain a first subgraph of the fixed adjacency matrix. The method also includes processing the first subgraph through a first layer of a graph convolutional network (GCN) to obtain a first embedding matrix, and applying a second stochastic binary mask to the fixed adjacency matrix to obtain a second subgraph of the fixed adjacency matrix. The method includes processing the first embedding matrix and the second subgraph through a second layer of the GCN to obtain a second embedding matrix, and then determining a plurality of gradients of a loss function, and modifying the first stochastic binary mask and the second stochastic binary mask using at least one of the plurality of gradients.

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 back passivation crystalline silicon solar cell includes an Ag gate finger electrode, a SiNx passivation antireflection layer, an N+ layer, P-type silicon, a back passivation layer, and an Al gate finger electrode, connected sequentially from top to bottom. The Ag gate finger electrode sequentially penetrates through the SiNx passivation antireflection layer and the N+ layer and is connected to the P-type silicon by means of an N++ layer. The Al gate finger electrode penetrates through the back passivation layer and is connected to the P-type silicon by a P+ layer. The back passivation layer is a passivation antireflection laminated structure that includes a SiO2 passivation layer, an AlOx passivation layer, a SiNx antireflection layer, and a SiOxNy antireflection layer, sequentially provided from top to bottom. The solar cell has high carrier selectivity, high temperature stability, excellent interface passivation effect and PID resistance, high conversion efficiency and high stability.

Abstract: According to one embodiment, an information processing method classifies an instance including a combination of data items of subclasses of either physical world classes describing physical entities or cyber world classes describing concepts. The information processing method comprises the steps of: obtaining first data including the instance; and inferring and determining a subclass the instance belongs to by referring to at least either definition data or log data. The definition data defines the subclasses. The log data includes a set of the first data obtained in the past, each of the first data including the instance with the corresponding subclass defined in the definition data.

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: A method includes receiving a first data set comprising embeddings of first and second types, generating a fixed adjacency matrix from the first dataset, and applying a first stochastic binary mask to the fixed adjacency matrix to obtain a first subgraph of the fixed adjacency matrix. The method also includes processing the first subgraph through a first layer of a graph convolutional network (GCN) to obtain a first embedding matrix, and applying a second stochastic binary mask to the fixed adjacency matrix to obtain a second subgraph of the fixed adjacency matrix. The method includes processing the first embedding matrix and the second subgraph through a second layer of the GCN to obtain a second embedding matrix, and then determining a plurality of gradients of a loss function, and modifying the first stochastic binary mask and the second stochastic binary mask using at least one of the plurality of gradients.

Abstract: A method for distributed training of a graph-embedding neural network is disclosed. The method, performed at a first server, includes computing, based on a first input data sample, first model data and first embedding data of a first graph neural network, the first graph neural network corresponding to a first set of nodes of a graph that are visible to the first server, and includes sharing the first model data and the first embedding data with a second server. The method also includes receiving second embedding data from a third server, the second embedding data comprising embedding data of a second graph neural network corresponding to a second set of nodes of the graph that are invisible to the first server, and includes computing second model data of the first graph neural network based on a second input data sample and the embedding data of the second graph neural network.

Abstract: The present invention is directed to a hemostatic semi-solid paste material comprising a bioabsorbable carrier hemostatic material; and a supplemental hemostatic agent; wherein the paste material has an elongated form extending along a lengthwise axis with an aspect ratio of at least 3; wherein the paste is self-supporting and syringe extrudable; and wherein the supplemental hemostatic agent has a non-homogenous distribution profile across a cross-section taken across the lengthwise axis. In another aspect, the present invention relates to devices for forming and expressing the hemostatic material.

Abstract: The present invention relates to a method for manufacturing a semiconductor wafer comprising: i) applying a MOD ink composition to a semiconductor wafer, thereby forming a precursor layer; and ii) curing the precursor layer. In an embodiment, the application in step i) is carried out by inkjet printing. The method for inkjet printing MOD ink has low equipment cost and low power consumption; no material waste; on-demand printing and easy selective deposition/design flexibility (no etching required). In addition, the method of the present invention improves the adhesion and electric conductivity of the metallization layer on backside of the wafer.