Abstract: Systems and methods for a programming language-agnostic data modeling platform that is both less resource intensive and scalable. Additionally, the programming language-agnostic data modeling platform allows for advanced analytics to be run on descriptions of the known logical data models, to generate data offerings describing underlying data, and to easily format data for compatibility with artificial intelligence systems. The systems and methods use a supplemental data structure that comprises logical data modeling metadata, in which the logical data modeling metadata describes the logical data model in a common, standardized language. For example, the logical data modeling metadata may comprise a transformer lineage of the logical data model.

Abstract: Method for targeted alteration of a duplex acceptor DNA sequence in a plant cell protoplast, comprising combining the duplex acceptor DNA sequence with a donor mutagenic nucleobase, wherein the duplex acceptor DNA sequence contains a first DNA sequence and a second DNA sequence which is the complement of the first DNA sequence and wherein the donor mutagenic nucleobase comprises at least one mismatch with respect to the duplex acceptor DNA sequence to be altered, preferably with respect to the first DNA sequence, wherein the method further comprises a step of introducing the donor mutagenic nucleobase into the cell protoplasts using polyethylene glycol (PEG) mediated transformation and the use of PEG protoplast transformation for enhancing the rate of targeted mutagenesis.

Abstract: A system for detecting bad actors that unfairly profit from confidential information. The system may include a processor and memory that stores instructions that, when executed by the processor, cause the processor to: obtain news articles from at least one news media source; categorize, by pertinent events, each news article according to the pertinent events to which the news articles pertain; score each news article according to a respective impact of each news article; designate, for each of the pertinent events to which the news articles pertain, a corresponding made-public-date; and calculating, for each event of the pertinent events to which the news articles pertain, a corresponding event impact score by aggregating a weighted set of the article impact scores that pertain to the corresponding event.

Abstract: Electrically insulating material is molded onto a sculptured, electrically conductive leadframe structure that includes a pattern of electrically conductive formations such as a die mounting location configured to have at least one semiconductor die arranged thereon, a dummy pad and a tie bar extending between the die mounting location and the dummy pad. A pre-molded leadframe structure results from the electrically insulating material penetrating into spaces between electrically conductive formations in the pattern of electrically conductive formations. At least one portion of the tie bar extending between the die mounting location and the dummy pad is removed to electrically decouple the dummy pad from the die mounting location.

Abstract: A method for providing an intelligent end-to-end platform to facilitate dynamic user interface configuration is disclosed. The method includes automatically generating core layouts based on a predetermined platform structure, each of the core layouts corresponding to an executable microapp; persisting the core layouts in a core repository; displaying, via a graphical user interface, a graphical element that is configured to receive inputs; receiving, via the graphical user interface, a request to generate a user interface, the request including a selection of a rule, a business logic, and a service; identifying, based on the request, a matching core layout from the core layouts in the core repository; and automatically generating the user interface by using the matching core layout and the request.

Abstract: Methods and systems for using a non-linear machine learning model to generate explanations that relate to decisions made by the model and for repairing such explanations in order to improve quality and accuracy of model outputs are provided. The method includes: receiving a data set that corresponds to attributes that pertain to a decision to be made; inputting the data set to a machine learning model; generating a baseline decision that corresponds to an output of the model with respect to data set; computing, based on the baseline decision, an explanation that relates to at least one of the attributes; estimating one or more errors associated with the explanation; and computing, based on the estimated error(s), at least one repair that corresponds to a modification of the explanation, and a cost for repairing the explanation.

Abstract: Systems, methods, and computer-readable storage media of template-based digital asset exchanges using a public key cryptography (PKC) framework. One method includes storing a plurality of exchange templates, and receiving a signed exchange request signed by a private key of a public and private key pair associated with a digital asset. The method further includes receiving an environmental dataset, and selecting, utilizing the environmental dataset, an exchange template of the plurality of exchange templates. The method further includes populating the plurality of fields of the selected exchange template based on the environmental dataset. The method further includes providing, to a plurality of user devices, a public key, updating a provider ledger, and updating a central ledger.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for hardware-level encryption by generating and using a quantum obfuscation map (QOM). An example method includes generating one or more quantum obfuscation elements (QOEs) based on a one or more quantum particles and generating the QOM based on the one or more QOEs. The example method further includes receiving an indication of an instance of information/data and determining a location within a memory or a disk storage for each section in a plurality of sections corresponding to the instance of information/data based on the generated QOM.

Abstract: A method may include: receiving an original dataset and a sensitive attribute; initializing a distilled dataset from the original dataset; initializing a classification model; sampling original dataset data and an original dataset label from the original dataset, and distilled dataset data and a distilled dataset label from the distilled dataset; providing the sampled original dataset data from the original dataset to the classification model, resulting in an original dataset prediction probability; providing the sampled distilled dataset data from the distilled dataset to the classification model, resulting in a distilled dataset prediction probability; calculating a distilled dataset cross-entropy loss for the distilled dataset prediction probability and the distilled dataset label; calculating distilled dataset gradients for the distilled dataset cross-entropy loss; calculating a distance between the gradients as a matching loss; and updating the distilled dataset with the matching loss.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for managing open issues. An example method includes obtaining a dashboard access request for a portion of open issues managed by the issue management system, the issue management system storing variables associated with each open issue of the open issues; obtaining a dashboard data package based on scores for the portion of open issues, the scores indicating a severity level of the open issues of the portion of open issues and being based on the variables that are stored in the issue management system; and performing an action set using the dashboard data package to manage the portion of open issues.

Abstract: The present disclosure relates to a method comprising: providing a trained machine learning model. The trained machine learning model is configured for reconstructing images from input data. The method comprises: receiving (201) a multidimensional array comprising M dimensional acquired data; determining (205) a subset of values of at least one K selected dimension of the array; for each value of the subset determining (207) a M?K dimensional array comprising the acquired data corresponding to the value, resulting in a set of M?1 dimensional arrays; inputting (209) the set of M?K dimensional arrays to the trained machine learning model, and receive a reconstructed image from the trained machine learning model.

Abstract: An intravascular imaging probe including a multiple material support member or chassis, and associated devices, systems, and methods are provided. According to one embodiment, an intraluminal ultrasound imaging catheter includes a flexible elongate member configured to be positioned within a body lumen of a patient, a support member coupled to a distal portion of the flexible elongate member, and an ultrasound scanner assembly positioned around the support member. The support member includes a hollow inner member comprising a first material, and a first annular member positioned around a perimeter of the hollow inner member at a proximal portion of the hollow inner member. The first annular member extends radially outward from the hollow inner member and includes a second material that is different from the first material.

Abstract: An integrated circuit includes a reconfigurable stream switch and an arithmetic circuit. The stream switch, in operation, streams data. The arithmetic circuit has a plurality of inputs coupled to the reconfigurable stream switch. In operation, the arithmetic circuit generates an output according to AX+BY+C, where A, B and C are vector or scalar constants, and X and Y are data streams streamed to the arithmetic circuit through the reconfigurable stream switch.

Abstract: A computer system for implementing a non-fungible token (NFT) as a payment object in a metaverse space. The system includes one or more processors and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to create: a mint engine programmed to generate an NFT having a unique visual appearance, the NFT being associated with a currency account and including an authorization credential for the currency account; a ledger engine programmed to maintain the NFT on a ledger; a wallet engine programmed to generate a presentation of the NFT in response to a user request, wherein the presentation includes the visual appearance of the NFT to provide a visual representation of the authorization credential; and a transaction engine programmed to access the currency account, based on the authorization credential, in response to a payment request.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for predicting an emotion in real-time based on a multimodal input including at least (i) an amount of keystrokes over a period of time and (ii) text. An example method may include receiving, by a communications circuitry, a multimodal input from a user including at least (i) an amount of keystrokes over a period of time and (ii) text. The example method may further include generating, by a trained machine learning model of an emotion prediction circuitry and using the multimodal input, an EmotionPrint for the user. The example method may finally include determining, by the emotion prediction circuitry and using the EmotionPrint, a next action.

Abstract: A shaving apparatus (1) having a first shaving unit portion (7) connected to a main housing (2) and accommodating a single driven input member (9) rotatable about an axis of rotation. A second shaving unit portion (8) of the shaving apparatus has a hair-cutting unit (12) and a drive unit (13) which transmits a driving force from the single driven input member to an internal cutting member (19) of the hair-cutting unit. The second shaving unit portion is manually rotatable relative to the first shaving unit portion about the axis of rotation of the single driven input member. An adjustment system (24) has a sensing unit (28, 29) configured to have an output property which varies with the angular position of the second shaving unit portion relative to the first shaving unit portion about the rotational axis. The adjustment system adjusts an operational parameter of the shaving apparatus in dependence on the output property of the sensing unit.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for providing continuous session authentication and monitoring. An example method includes authenticating, at a first time, a session for a user of the client device based on an authentication image data structure and a plurality of first video frames captured before the first time. The example method further includes extracting sample data from a monitor region for each of a plurality of second video frames captured after the first time and generating motion data based on the extracted sample data. The example method further includes detecting, at a second time, a re-authentication trigger event based on the motion data. Subsequently, the example method includes re-authenticating the session based on the authentication image data structure and a plurality of third video frames captured after the second time.

Abstract: The present invention relates to an electric personal care apparatus comprising a skin contacting portion configured for contact with skin of a user. The skin contacting portion comprises a porous and compressible material. The porous and compressible material is configured to hold a fluid by capillary forces. The porous and compressible material is configured to be compressed due to pressure contact of the skin contacting portion with the skin of the user, and configured to release the fluid onto the skin of the user when the porous and compressible material is holding the fluid and being compressed.

Abstract: Various methods, apparatuses/systems, and media for programmatically generating and rotating secrets for applications to read them to connect to various services are disclosed. A processor determines, in a preconfigured time interval, whether secrets/credentials corresponding to a service provider has been changed; calls a first API to retrieve the changed secrets/credentials from the corresponding service provider; stores the changed secrets/credentials to a corresponding predefined location; causes an application to call a second API to retrieve the changed secret or the credential from the corresponding predefined location; and automatically establishes a connection between the application and the corresponding service provider based on a determination that the changed secrets/credentials retrieved from the predefined location matches with the changed secrets/credentials retrieved from the corresponding service provider during the preconfigured time interval.