Abstract: Improved battery separators, base films or membranes, batteries, cells, devices, systems, vehicles, and/or methods of making and/or using such separators, films or membranes, batteries, cells, devices, systems, vehicles, and/or methods of enhancing battery or cell charge rates, charge capacity, and/or discharge rates, and/or methods of improving batteries, systems including such batteries, vehicles including such batteries and/or systems, and/or the like; biaxially oriented porous membranes, composites including biaxially oriented porous membranes, biaxially oriented microporous membranes, biaxially oriented macroporous membranes, battery separators with improved charge capacities and the related methods and methods of manufacture, methods of use, and the like; flat sheet membranes, liquid retention media; dry process separators; biaxially stretched separators; dry process biaxially stretched separators having a thickness range between about 5 ?m and 50 ?m, preferably between about 10 ?m and 25 ?m, having imp

Abstract: Methods, systems, and computer program products are provided for spatial-temporal prediction using trained spatial-temporal masked autoencoders. An example system includes a processor configured to determine a structural dependency graph associated with a networked system. The processor is also configured to receive multivariate time-series data from a first time period associated with the networked system. The processor is further configured to mask the plurality of edges of the structural dependency graph and mask the multivariate time-series data. The processor is further configured to train a spatial-temporal autoencoder based on the masked structural representation and the masked temporal representation. The processor is further configured to generate a prediction using a spatial-temporal machine learning model including the trained spatial-temporal autoencoder, the prediction associated with an attribute of the networked system in a second time period subsequent to the first time period.

Abstract: The application describes method of modifying an image. The method may include a step of receiving, via an user interface of a service, a reference image and an input including text associated with the reference image. The method may also include a step of determining, via a trained machine learning (ML) model, one or more features of the reference image. The method may further include a step of modifying, via one or more trained latent diffusion models (LDMs), the reference image based upon the determined features and the received input. Any one or more of a background of the reference image, an area of the reference image or a style of the reference image may be modified. The method may even further include a step of causing to display, via the user interface of the service, the modified image.

Abstract: The present disclosure relates to methods and intermediates useful for preparing a compound of formula I: or a co-crystal, solvate, salt or combination thereof.

Abstract: The present disclosure is in the field of modulation of genes involved in rare diseases including for diagnostics and therapeutics for rare diseases such as Angelman's Syndrome, Facioscapulohumeral Muscular Dystrophy (FHMD), Amyotrophic Lateral Sclerosis (ALS), Frontotemporal dementia (FTD) and Spinal Muscular Atrophy (SMA).

Abstract: Disclosed are cationic lipids which are compounds of Formula (I), (II), (III), (IV), (V), or (VI). Cationic lipids provided herein can be useful for delivery and expression of mRNA and encoded protein, e.g., as a component of liposomal delivery vehicle, and accordingly can be useful for treating various diseases, disorders and conditions, such as those associated with deficiency of one or more proteins.

Abstract: A method of carbon-capture sorbent regeneration is provided. The method includes obtaining a sorbent that includes adsorbed carbon dioxide. Magnetic nanoparticles are introduced to the sorbent and adsorbed carbon dioxide to form a mixture. A magnetic field is applied to the mixture. The magnetic nanoparticles generate heat which releases carbon dioxide from the sorbent, thereby regenerating the sorbent. The magnetic nanoparticles include iron oxides, doped ferrites, functionalized iron oxides, functionalized ferrites, and composite materials that are combinations of these. The sorbent includes liquid and solid sorbents, and the regenerated sorbent may be utilized for further carbon capture.

Abstract: A cathode for a multilayer solid-state electrochemical cell is described herein. The cathode comprises nanofibers of a cathode active material; particles of the cathode active material; and nanofibers of a cubic phase lithium lanthanum zirconium oxide (c-LLZO); all of which are dispersed in a polymeric matrix. Electrochemical cells comprising a solid-state electrolyte and the cathodes comprising the nanofibers of c-LLZO are also described herein.

Abstract: The present disclosure provides [1,2,4]triazolo[4,3-b][1,2,4]triazine, [1,2,4] triazolo[4,3-b]pyridazine, and [1,2,3]triazolo[4,5-b]pyrazine derivatives, and pharmaceutically acceptable salts, solvates or prodrugs thereof, as tyrosine kinase c-MET inhibitors, which are useful as novel anticancer and/or anti-inflammatory agents.

Abstract: A method includes receiving a document for displaying on a display of the client device. The method includes identifying a first portion and a second portion of the document having a first level of content hierarchy, and determining a first text corresponding to the first portion and a second text corresponding to the second portion of the document. The method includes generating a first outline entry including the first text and a second outline entry including the second text, and displaying a selectable entry point on a graphical user interface. The method includes, in response to a selection of the selectable entry point, displaying an outline window, including the first outline entry and the second outline entry, and navigating to the first portion of the received document or the second portion of the document in response to a selection of the first outline entry or the second outline entry.

Abstract: The present disclosure relates to novel compounds and pharmaceutical compositions thereof, and methods for inhibiting the activity of PI3K? enzymes with the compounds and compositions of the disclosure. The present disclosure further relates to, but is not limited to, methods for treating disorders associated with PI3K? signaling with the compounds and compositions of the disclosure.

Abstract: Method and apparatus for processing input information using an adaptable and continually learning neural network architecture comprising an encoder, at least one adaptor and at least one reconfigurator. The encoder, at least one reconfigurator and at least one adaptor determine whether the input information is out-of-distribution or in-distribution. If the input information is in distribution, the architecture extracts features from the input information, creates hyperdimensional vectors representing the features and classifies the hyperdimensional vectors. If the input information is out of distribution, the architecture creates at least one adaptor to operate with the encoder and the at least one reconfigurator to extract features from the input information, create hyperdimensional vectors representing the features and classify the hyperdimensional vectors.

Abstract: A method of processing particulate carbon comprises combining pyrolysis carbon with water to form a mixture to form an initial slurry having 1-35 wt % solids and milling the pyrolysis carbon to form a milled slurry comprising wet milled reclaimed carbon and water; wherein a volume weighted particle size distribution of the wet milled reclaimed carbon measured via scanning electron microscopy has one or more of D50 no greater than 2700 nm and no more than 15% of particles having a particle diameter greater than 5 microns.

Abstract: An integrated platform system that employ a series of machine learning techniques and prediction and detection units that can process input data and extract and generate meaningful insights and predictions therefrom. The system integrates together multiple different data storage types and applications that generates data of different types, and an associated processing system for processing the different data types, store the data in a common data model to normalize the data, determine the data lineage of the data, and then process the data using different types of techniques. The data can also be processed by a prediction unit for generating meaningful insights and predictions or by an anomaly detection unit for detecting one or more anomalies in the data.

Abstract: Provided is a system for analyzing features associated with entities using an embedding tree, the system including at least one processor programmed or configured to receive a dataset associated with a plurality of entities, wherein the dataset comprises a plurality of data instances for a plurality of entities. The processor may be programmed or configured to generate at least two embeddings based on the dataset and determine split criteria for partitioning an embedding space of at least one embedding tree associated with the dataset based on feature data associated with an entity and embedding data associated with the at least two embeddings. The processor may be programmed or configured to generate at least one embedding tree having a plurality of nodes based on the split criteria. Methods and computer program products are also provided.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: Disclosed herein are methods of preparing composites from solid elastomer(s) and wet filler(s), as well as products, including composites, vulcanizates, and articles therefrom. The wet filler can have a liquid content of at least 15%. A resulting composite comprises the filler dispersed in the elastomer at a loading of at least 20 phr with a filler yield loss of no more than 10%, wherein the composite has a liquid content of no more than 10% by weight based on total weight of said composite.

Abstract: This disclosure describes a vehicle-motion-analysis system that can align axes for a provider device and a corresponding transportation vehicle based on the provider device's location and motion data as a basis for generating driving-event scores for particular driving events. In particular, the disclosed systems can generate axes-rotation parameters that align axes of a provider device with axes of a transportation vehicle. In addition, the disclosed systems can identify motion paths, motion patterns, or other driving behaviors that occur during particular driving events. Further, the disclosed systems can generate driving-event scores for such driving events and can customize a graphical user interface based on the driving-event scores to reflect a provider rating and/or a location rating.

Abstract: A method of generating a panel infill geometry of a sandwich panel is provided. The method includes providing a mid-surface computer-aided design (CAD) geometry and generating a first driver mesh of the mid-surface CAD geometry. The method further includes generating a density field using a topology optimization algorithm, and further includes computing a second driver mesh based on the density field. The second driver mesh includes quadrilateral elements that have element sizes computed based on the density field. The method further includes providing a reference unit cell mesh that includes a unit infill mesh and a pair of unit face sheet meshes, and further includes mapping copies of the reference unit cell mesh onto hexahedral elements associated with the quadrilateral elements to form a sandwich panel mesh interconnecting a pair of face sheet meshes. The method further includes outputting the sandwich panel mesh including the infill and face sheet meshes.

Abstract: Techniques for modifying data within a virtual space are discussed herein. A communication platform may receive a request from a user profile associated with a virtual space. The request may include instruction(s) for the communication platform to perform a modifying operation on data within a virtual space. Based on receiving the request, the communication platform may identify the data on which the operation is to be performed. The communication platform may input the data to one or more machine-learning models trained to output data that is a modified version of the data input to the machine-learning model (e.g., modified data). In such cases, the modified data may be modified consistent with the requested operation. The communication platform may receive the modified data from the machine-learning model and cause the modified data to be displayed via a user interface associated with the user profile.