Abstract: Data encryption keys (and other sensitive data) can be secured during use by a key protection service that performs cryptographic operations on behalf of a client application. The key protection service can be implemented as a lightweight virtual machine that appears externally as a container and that can be executed in a secured environment. The lightweight virtual machine can include containerized processes to support an application program interface to interact with the client application and an attestation client to interact with a secured key storage system external to the secured environment.

Abstract: Methods of treating a subject with diabetes or Alzheimer's disease with a disclosed insulin isoform or C? polypeptide are provided. Methods of detecting insulin isoforms or C? polypeptides are also provided.

Abstract: Embodiments herein provide a system for electrically heated gas mixture mediated industrial plant processes providing a fossil fuel free approach. The system utilizes a gas mixture as heating medium that directly transfers heat to a raw material required for processing the raw material into an end product. The gas mixture used as a heating medium can be a byproduct generated during processing or a combination of stable gases that are reutilized and recirculated to carry heat and dissipate the heat at various stages of processing in accordance with a heating medium design loop. The heating medium design loop disclosed is designed such that it eliminates the need of heat management equipment like a Thermal Energy Storage (TES) system used by existing approaches. Entire heating of the plant is carried out using electric gas heaters heated using renewable electric sources to provide the fossil fuel free design.

Abstract: Methods and systems are described for novel uses and/or improvements to federated learning. As one example, methods and systems are described for improving the applicability of federated learning across various applications and increasing the efficiency of training a global model through federated learning. As another example, methods and systems are described for ensuring comprehensive training data is available to models assigned by the federated learning server. Additionally, methods and systems are described for improving the rate of training a global model through federated learning.

Abstract: A self-service lender portal provides lenders with a suite of tools for interacting with a multi-lender architecture configured to provide loan applicants with automated pre-qualification and eligibility evaluation for multiple candidate lenders. The lender portal provides lenders with an interface for uploading rule sets defining lending and eligibility criteria, downloading operational data generated from processing loan applicant information, generating and managing security keys for encryption and decryption of sensitive data, and managing access policies for providing single sign-on by interfacing with the lender's own identity management systems.

Abstract: A method includes an access device determining an interaction value associated with an interaction. The access device prompts a user operating a user device for a secret. The access device receives the secret. The access device receives an initial communication then a user device certificate comprising a public key from the user device. The access device then verifies the certificate. The access device concatenates at least the secret and an unpredictable number to form a concatenated value. The access device encrypts the concatenated value with the public key, then transmits the encrypted concatenated value. The user device decrypts the encrypted concatenated value with a private key, verifies the unpredictable number, verifies the secret, determines whether or not the interaction is approved, produces an interaction authorization result, and then provides the interaction authorization result to the contactless access device. The access device receives the interaction authorization result.

Abstract: Methods and systems are described herein for using cryptographic tokens that represent real-world items to enable those items to be used in different virtual worlds (e.g., game worlds). In particular, an object retrieval system may be used to retrieve a cryptographic token that encodes parameter data for an object to be used (e.g., displayed) within a plurality of computing platforms. The object retrieval system may determine (e.g., using a cryptographic signature) that the user is allowed to use the object and may then generate a set of parameters for representing the object with the particular computing platform requesting the object. The object retrieval system may then transmit the parameters to the requesting platform. The object retrieval system may perform the same operations for requests from other platforms, such that the object retrieval system may uniquely encode the parameters for the particular platforms.

Abstract: Methods and systems are described for novel uses and/or improvements to federated learning. As one example, methods and systems are described for improving the applicability of federated learning across various applications and increasing the efficiency of training a global model through federated learning. As another example, methods and systems are described for ensuring comprehensive training data is available to models assigned by the federated learning server. Additionally, methods and systems are described for improving the rate of training a global model through federated learning.

Abstract: A fluid permeable heater assembly for an aerosol-generating system includes a cap and a substantially flat electrically conductive and fluid permeable heating element. The cap includes a hollow body with a first cap opening and a second cap opening. The first cap opening is opposite to the second cap opening. The heating element is configured to vaporise aerosol-forming substrate. The heating element is mounted on the cap, such that the heating element extends across the first cap opening. A cartridge for an aerosol-generating system includes the heater assembly, a liquid storage portion, a mouth piece, and a retainer.

Abstract: A method for removing foreign matter from an agricultural product stream of a manufacturing process. The method includes conveying a product stream past an inspection station; scanning a region of the agricultural product stream as it passes the inspection station using at least one light source of a single or different wavelengths; generating hyperspectral images from the scanned region; determining a spectral fingerprint for the agricultural product stream from the hyperspectral images; comparing the spectral fingerprint obtained in step (c) to a spectral fingerprint database containing a plurality of fingerprints using a computer processor to determine whether foreign matter is present and, if present, generating a signal in response thereto; and removing a portion of the conveyed product stream in response to the signal. A system for detecting foreign matter within an agricultural product stream is also provided.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for testing and applying codes to electronic shopping carts. For instance, the method may include monitoring a shopping cart associated with an e-commerce website and with a user; in response to detecting a change to the shopping cart, testing codes with respect to a present content of the shopping cart to determine valid codes; selecting at least one of the valid codes; determining a status of the session; and performing an action based on the status and the at least one selected code. The testing the codes with respect to the present content of the shopping cart may include: cloning the shopping cart to form a cloned shopping cart in a shadow session; and/or obtaining the codes; and testing the codes on the cloned shopping cart in the shadow session to determine the valid codes.

Abstract: Systems, methods, articles of manufacture, and computer-readable media. A server may receive a phone call and generate a uniform resource locator (URL) comprising a session identifier for an account. The server may transmit the URL to a client device. The server may receive, from a web browser, a request comprising the URL. The server may determine that the session identifier in the URL of the request matches the session identifier for the account, and transmit, to the web browser, a web page at the URL. The server may receive, from the web browser, a cryptogram read by the web page via a card reader of the client device and decrypt the cryptogram. The server may authenticate the identity of the caller for the call based on decrypting the cryptogram and the session identifier of the URL matching the session identifier of the account.

Abstract: The present disclosure a method for a lattice-based homomorphic proxy re-encryption scheme. Conventional methods are attribute based and the attribute-based encryption schemes employ very expensive operations and generate long ciphertexts and secret keys (whose sizes also increase linearly with the size of the access policy), which makes them hard to implement in real-life applications. The present disclosure provides a unidirectional, single-hop HPRE scheme from the Learning With Errors (LWE) assumption which is Chosen Plaintext Attack (CPA) secure. Further, the present disclosure is based on the widely accepted BGV algorithm that supports both levelled FHE operations as well as arbitrary number of ciphertexts with unique and secure re-encryption key generation. Further, the present disclosure provides batch evaluation of ciphertexts, in order to enable re-encryption and evaluation of multiple ciphertexts.

Abstract: Immunotherapies, particularly chimeric antigen receptors targeting IL-13R?2 and their use for treating cancer are provided. A single chain fragment variable (scFv) that specifically binds IL-13R?2, chimeric antigen receptors (CARs) including the IL-13R?2 scFv, nucleic acids encoding the CARs, vectors including the nucleic acids encoding the CARs, and immune cells expressing the CARs are provided. Also provided are methods of treating a subject with cancer, including administering to the subject an immune cell expressing an IL-13R?2 scFv-CAR alone or in combination with other cancer therapies.

Abstract: Computer-implemented techniques and systems for generating vehicle profiles may include scanning a plurality of vehicles, each vehicle located at a respective vehicle location, identifying respective vehicle locations for each of the plurality of vehicles, based on scanning the plurality of vehicles, associating a vehicle identification tag for each vehicle with its respective vehicle location, interpreting a signal to determine a user location, determining that the user location is within a threshold distance from a first vehicle location of a first vehicle from the plurality of vehicles, providing a first vehicle identification tag corresponding to the first vehicle based on determining that the user location is within the threshold distance, generating a first vehicle profile based on the first vehicle identification tag, and providing the first vehicle profile to a user device.

Abstract: Aspects of the subject technology relate to systems and methods for packing nuclear magnetic resonance (“NMR”) antennas for an NMR sensor. Specifically, a magnetic shielding layer of the NMR sensor can be formed in a first concentric layer about a mandrel of a downhole tool. A first antenna of a plurality of antennas of the NMR sensor can be formed in a second concentric layer on top of the first concentric layer through an automated machining process. Further, a second antenna of the plurality of the antennas of the NMR sensor can be formed in a third concentric layer on top of the second concentric layer through the automated machining process.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.

Abstract: A shaped cutter is disclosed for use on a drill bit. In one or more example, the shaped cutter includes a substrate including a proximal end and a distal end and defining a cutter axis extending between the proximal and distal ends. A cutting table secured to the proximal end of the substrate includes a cutting face with a central boss axially extending from the cutting face and a plurality of ribs radially extending across the cutting face from the boss to a periphery of the cutting table. The cutting face may recede axially from the periphery towards the central boss, such as by defining a planar section, a plurality of intersecting planar sections, and/or a concave (e.g., frustoconical) shape between adjacent ribs.

Abstract: Provided herein are a Heartland virus vaccine composition including a messenger ribonucleic acid (mRNA) including an open reading frame (ORF) encoding Gn or Gc of Heartland virus, a Heartland virus vaccine composition comprising a messenger ribonucleic acid (mRNA) comprising an open reading frame (ORF) encoding Gn or Gc of Heartland virus fused with human collagen type I alpha 1 (COL1A1) signal peptide, and a method of inducing immune response against Heartland virus by administering an effective amount of the Heartland virus vaccine composition to a subject in need thereof.

Abstract: Methods and systems described herein for validating machine learning models in federated machine learning model environments. More specifically, the methods and systems relate to unloading training and validation techniques to client devices using newly collected data to improve accuracy of federated machine learning models.