Abstract: An exemplary method comprises receiving, by a processor, a user-based allegation of a fraudulent transaction, receiving, by the processor, merchant data pertaining to a user associated with the user-based allegation as well as a transaction underlying the user-based allegation, and receiving, by the processor, issuer data pertaining to the user and the transaction. The exemplary method further comprises applying, by the processor, a machine learning model to the merchant data and issuer data to generate a prediction as to whether the transaction was fraudulent, providing, by the processor, a report to the user comprising one or more factors on which the prediction is based, the one or more factors based on at least one of the merchant data and the issuer data, receiving, by the processor, feedback relating to the prediction, and updating, by the processor, the machine learning model using the feedback as an input.

Abstract: The disclosure provides methods for carrying out Real Time Cellular Thermal Shift Assays (RT-CETSA). Also provided are molecular constructs and protein constructs for use in such assays and devices suitable for carrying out such assays. Also provided are non-parametric methods for analyzing data from RT-CETSA and other biological target engagement assays.

Abstract: An authorization and authentication method can comprise receiving, by a server from a user device, a request to generate an access token. The request includes a demonstration of proof of possession (DPoP) Java web token (JWT) that can include a public key, a payload, and a signature. The payload can include fingerprint data of the user device and a unique identifier of a contactless card associated with a user of the user device. The method can further comprise extracting, by the server, the DPoP JWT from the request to generate an access token and verifying, by the server, the signature using the public key included in the DPoP JWT. The method can further comprise authenticating, by the server, the payload, generating, by the server, the access token, binding, by the server, the public key to the access token, and transmitting, by the server, the access token to the user device.

Abstract: Computational Fluid Dynamic, Finite Element Methods (FEM), and other engineering modelling and simulation requires meshing (numerical grid generation) of the geometry. The meshing is done by meshing software and the CFD expert need to provide meshing parameters. Existing approaches involve a lot of human intervention which leads to additional computational time and may be prone to errors. Present disclosure provides system and method that construct meshed geometry based a first mesh generated using meshing parameters wherein the meshed geometry is compared with original geometry of an object under consideration to estimate the surface size. Further, the first mesh is simulated in an iterative manner to obtain parameters such as domain size, refinement zone, and layer parameters of the object under consideration until these parameters reach an associated threshold and a mesh independent grid is obtained for the object based on the above-mentioned parameters.

Abstract: The present disclosure relates to a vaccine comprising an amphiphile having the formula S-[B]-[U]-H and at least one peptide antigen conjugate having the formula selected from [S]-[E1]-A-[E2]-[U]-H and H-[U]-[E1]-A-[E2]-[S], wherein the amphiphile and/or the at least one peptide antigen conjugate comprises a dendron amplifier. The vaccine is useful in treating or preventing a cancer, an autoimmune disease, an allergy, an infectious disease, a cardiovascular disease, or a neurodegenerative disease.

Abstract: Computer vision systems and methods for determining roof age and life are provided. The system processes newer and older images of an area of interest that includes a structure having a roof using computer vision to detect changes in roof conditions over time, and calculates a ground truth model of roof age and roof condition based on the detected changes. An initial linear regression model is calculated by the system, and noise is filtered from the model. A final linear regression model is then calculated by the system and validated. Using the final linear regression model, the system determines an age of the roof in the area of interest as well as the remaining life of the roof.

Abstract: A method is disclosed. The method includes receiving, by a token gateway, a first request message from a token requestor computer. The token gateway determines at least one token service computer from a plurality of token service computers, each token service computer in the plurality of token service computers operating independently of each other. The token gateway transmits at least one second request message to the at least one token service computer and receives, at least one first response message comprising at least one token and/or supplemental data associated with the at least one token from the at least one token service computer. The token gateway transmits a second response message to the token requestor computer, the second response message comprising the at least one token and/or the supplemental data.

Abstract: The present invention provides a directional sensor for receiving and evaluating location signals from aerial vehicles relative to the sensor. The sensor may include aerials, means for receiving signals from the aerials, and a process for processing the signals. The processor may be configured to: (a) determine for a given input signal a differential of a signal parameter between two or more of the aerials; (b) operate on the differential signal parameter to a determined position relative to the aerials by means of a correlation or covariance; (c) compare the determined position relative to the aerials with a reported position; (d) determine a difference between the reported and determined positions and compare this to an equivalence criteria; and (e) upon carrying out the determination where the difference does not match the equivalence criteria to report a spoofing attempt.

Abstract: Robotic Process Automation (RPA) systems face challenges in handling complex processes and diverse screen layouts that require advanced human-like decision-making capabilities. These systems typically rely on pixel-level encoding through drag-and-drop or automation frameworks such as Selenium to create navigation workflows, rather than visual understanding of screen elements. Present disclosure provides systems and methods that implement large language models (LLMs) coupled with deep learning based image understanding which adapt to new scenarios, including changes in user interface and variations in input data, without the need for human intervention. System of the present disclosure uses computer vision and natural language processing to perceive visible elements on graphical user interface (GUI) and convert them into a textual representation.

Abstract: Systems and methods are directed to generation of verifiable FIDO security keys based on hierarchically generated child keys from an extended security key pair, wherein the extended public key is stored on a verification server of the account issuing entity. In the described implementation, child FIDO key pair are hierarchically derived from an extended private/public key pair. A public key provided during a FIDO registration can be securely tied to a user identity based on verification of FIDO registration data by the issuing server using the corresponding extended public key. Accordingly, a FIDO public key is linked to a thoroughly vetted user identity, during the registration process, without an authentication action from the user. The disclosed systems and methods further enable a re-issued FIDO authenticator device to perform FIDO transactions with FIDO services previously registered against the replaced authenticator device.

Abstract: A system for performing cross-border transactions is provided. The system includes a computer server including a memory and a processor. The server is configured to: receive, from a first entity, transaction information of a transaction, wherein the transaction information is included in an International Organization for Standardization (ISO)-supported file; generate a transaction identifier for the transaction; transmit, to the first entity, the transaction identifier for the transaction; perform an anti-money laundering (AML) check based on the transaction information; apply a machine learning model to identify a pattern based on the transaction information; write the AML check and the pattern to the ISO-supported file; receive the transaction identifier from a second entity; and transmit a transaction approval message to the second entity based on the AML check and the pattern.

Abstract: Disclosed herein is a class of molecules termed remodilins that are effective in treating asthma, pulmonary fibrosis, and associated disorders. The molecules ameliorate asthma and pulmonary fibrosis symptoms by various mechanisms, including inhibiting airway smooth muscle contractile protein accumulation, reducing airway constrictor hyperresponsiveness, inhibiting bronchial fibroblast transformation into myofibroblasts, and/or treating or preventing airway or pulmonary fibrosis.

Abstract: A method of obtaining position of a downhole tool with respect to a wellbore includes logging well data via the tool over a period of time and measuring a lateral acceleration of the tool over the period of time with one or more accelerometers embedded in the tool. The method further includes performing double integration on an acceleration of the tool over a period of time. The method also includes obtaining a displacement of the tool over the period of time from the double integration. The method also includes fitting the displacement of the tool over the period of time to a best fit curve. The method also includes subtracting the best fit curve from the displacement of the tool over the period of time.

Abstract: A conductive structure for use with a RFID device having a metallic mass that is below a standard detection threshold of a metal detector and a method of manufacturing the same is disclosed herein. The conductive structure preferably comprises a pair of dipole arms extending from a tuning loop, wherein each of the pair of dipole arms terminates in a load end. The conductive structure may be manufactured from a printed metallic ink, or by cutting, lasering, or etching a metal foil. The conductive structure is modified to reduce overall thickness and metallic mass of the device as much as possible, while still maintaining an acceptable level of performance. Portions of the load ends may also be hollowed out to further reduce the conductive structure's metallic mass.

Abstract: One or more identifiers are received based on an electronic scan of computer-readable indicia. The computer-readable indicia being coupled to an asset. The asset is associated with one or more shipping operations. Based at least in part on the one or more identifiers, it is determined that the asset is requested for return. Based at least in part on the one or more identifiers, a shipping label corresponding to a destination location for the asset to be returned to is automatically generated or a location for the asset to be delivered to is automatically changed.

Abstract: A method is disclosed. The method includes receiving, by a token service computer, a detokenization request message comprising a first token from a network processing computer, and then determining a first credential that is stored in association with the first token in a database. The method includes determining a user identifier that is stored in association with the first credential in the database, determining that a second credential is stored in association with the user identifier, generating a detokenization response message comprising the second credential, and providing the detokenization response message to the network processing computer.

Abstract: Systems and methods that can automatically generate synthetic videos depicting alternative scenarios that may be consistent with recorded video. Systems and methods leverage machine learning systems that can generate synthetic video information using autoencoders and generative adversarial networks that have been trained on previous video data. Systems and methods further include a scenario dashboard that allows users of the system to select recorded videos and other settings that serve as inputs, or constraints, on the synthetically generated videos.

Abstract: A vehicle lift system includes a plurality of mobile lift columns each including a wireless communication system for sending and receiving wireless signals, each of the plurality of mobile lift columns further including an inclinometer for detecting an amount of tilt of the plurality of mobile lift columns. A remote control unit includes a wireless communication system capable of transmitting wireless control signals to the plurality of mobile lift columns. A control unit is associated with the plurality of lift columns for controlling operation of the plurality of lift columns, the control unit further receiving a signal indicative of the amount of tilt of the plurality of mobile lift columns and providing a warning signal if any mobile lift column has an amount of tilt exceeding a predetermined amount.

Abstract: A method for recognizing an object in a video stream may include receiving a video stream comprising a plurality of video frames from a video source. The method may also select at least one video frame from the video frames according to a frame selection rate. The method may also partition the selected video frame into a first plurality of image blocks, and recognize, out of the first plurality of image blocks, a second plurality of image blocks which comprise an image of an object, the recognition being based on an image recognition parameter determined by a machine-learning algorithm. The method may also determine that at least one of the second plurality of image blocks corresponds to the object based on a likelihood metric, the likelihood metric being determined by the processor based on at least the frame selection rate, and display, on a display, information identifying the object.

Abstract: A composition of matter comprising an extract of a plurality of seeds of an edible plant of interest is disclosed. Use of the composition and methods of generating same are also disclosed.