Abstract: Compact packages including microelectromechanical system (MEMS) devices and multiple application specific integrated circuits (ASICs) are described. These packages are sufficiently small to be applicable to contexts in which space requirements are particularly strict, such as in consumer electronics. These packages involve vertical die stacks. A first ASIC may be positioned on one side of the die stack and another ASIC may be positioned on the other side of the die stack. A die including a MEMS device (e.g., an accelerometer, gyroscope, switch, resonator, optical device) is positioned between the ASICs. Optionally, an interposer serving as cap substrate for the MEMS device is also positioned between the ASICs. In one example, a package of the types described herein has an extension of 2 mm×2 mm in the planar axes and less than 500-800 ?m in height.

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: Described are a system, method, and computer program product for dynamic node classification in temporal-based machine learning classification models. The method includes receiving graph data of a discrete time dynamic graph including graph snapshots, and node classifications associated with all nodes in the discrete time dynamic graph. The method includes converting the discrete time dynamic graph to a time-augmented spatio-temporal graph and generating an adjacency matrix based on a temporal walk of the time-augmented spatio-temporal graph. The method includes generating an adaptive information transition matrix based on the adjacency matrix and determining feature vectors based on the nodes and the node attribute matrix of each graph snapshot.

Abstract: System is configured to receive article information corresponding to articles to be transported by computer-controlled vehicles, the articles comprising a first article and a second article, each having a maximum article dimension. System is also configured to assign travel routes about a grid comprising grid cells for the vehicles to travel thereon. The travel route of a first vehicle carrying the first article includes a turning maneuver at a first grid cell. System is configured to control the turning maneuver of the first vehicle in the first grid cell such that there is no contact between the first article carried on the first vehicle with a second article carried on a second vehicle present in a second grid cell that is adjacent to the first grid cell when the first vehicle is undertaking the turning maneuver.

Abstract: Bifunctional compounds, which find utility as modulators of leucine-rich repeat kinase 2 (LRRK2), are described herein. In particular, the hetero-bifunctional compounds of the present disclosure contain on one end a moiety that binds to the cereblon E3 ubiquitin ligase and on the other end a moiety which binds LRRK2, such that the target protein is placed in proximity to the ubiquitin ligase to effect degradation (and inhibition) of target protein. The hetero-bifunctional compounds of the present disclosure exhibit a broad range of pharmacological activities associated with degradation/inhibition of target protein. Diseases or disorders that result from aberrant regulation of the target protein are treated or prevented with compounds and compositions of the present disclosure.

Abstract: Provided herein are compounds, compositions, and methods useful for modulating the integrated stress response (ISR) and for treating related diseases; disorders and conditions.

Abstract: A method includes obtaining data from multiple data sources using multiple data pipelines and receiving input from a user defining a geospatial search, where an interactive map allows the user to define a specified geographical area within the interactive map. The method also includes retrieving a portion of the data related to the specified geographical area and to properties within or associated with the specified geographical area. The method further includes analyzing the retrieved portion of the data using one or more machine learning models configured to generate analysis results associated with one or more properties. In addition, the method includes generating a user interface that graphically provides at least a portion of the analysis results to the user. The user interface allows the user to update the geospatial search and provides updated analysis results to the user.

Abstract: Methods, systems, and computer program products are provided for coordinated analysis of output scores and input features of machine learning models in different environments. An example method includes receiving a plurality of first data records and a plurality of second data records. A first plot is generated based on a first score generated by a machine learning model for each first data record and a second score generated by the machine learning model for each second data record. The first plot is displayed. A plurality of second plots associated with at least a subset of the plurality of features are generated. Each respective second plot is generated based on a respective first field associated with a respective feature from the first data records and a respective second field associated with the respective feature from the second data records. The second plots are displayed.

Abstract: Antigen binding molecules (ABMs) comprising Fab domains in non-native configurations, ABM conjugates comprising the ABMs and cytotoxic or cytostatic agents, pharmaceutical compositions containing the ABMs and ABM conjugates, methods of using the ABMs, ABM conjugates and pharmaceutical compositions for treating cancer, nucleic acids encoding the ABMs, cells engineered to express the ABMs, and methods of producing ABMs.

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: 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: 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: 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: 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: 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: 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: 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 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: 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.