Abstract: A method and a system are used to analyze incremental quantities. The electrical measurements associated with a loop in a multiple-phase electric power delivery system are obtained before a fault occurred on the loop and after the fault occurred on the loop, and differences between the electrical measurements are used to determine incremental quantities. The incremental quantities are used to determine a location of the fault on the loop. Multiple loops in the multiple-phase electric power delivery system may be monitored to determine corresponding fault locations on each loop.

Abstract: A method and a system for detecting suspicious transactions and providing warnings in advance of executing the transactions in order to prevent fraud are provided. The method includes: receiving a request to conduct a transaction with an entity by using a digital payment application, the request including first profile information that relates to the entity; retrieving second profile information that relates to the requestor; comparing the first profile information with the second profile information; and determining, based on a result of the comparison, whether to suspend the requested transaction. When a determination is made that the proposed transaction may be fraudulent, the transaction may be suspended and a warning message may be sent to the requestor in order to afford an opportunity to avoid the fraud.

Abstract: The present invention provides a hand acceleration control system to control and set Engine RPM at constant speed. The hand acceleration control system is controlled by a rotating switch (20) preferable positioned on a steering wheel.

Abstract: Systems, computer program products, and methods are described herein for authentication and monitoring of an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of binary data associated with an AI engine; calculate, based on the first set of binary data, an engine hash value; store the engine hash value; receive, from a second network device, an approval of the first set of binary data; update an approval status of the engine hash value; receive, from a network device associated with a final user, a second set of binary data; determine that a second hash value associated with the second set of binary data matches the engine hash value; and transmit a notification to the network device associated with the final user, wherein the notification instructs the network device to allow the final user to launch the AI engine.

Abstract: The present invention relates to method of inhibition of cellular endocytosis by treating the cells with compound of formula-1 Diphenylthio urea and Diphenylurea derivatives. Said invention also discloses method of treatment of infectious diseases, neurological disease, cancer, kidney disease in a subject in need thereof by administering therapeutically effective concentration of compounds of Formula-1, Diphenylthio urea and Diphenylurea derivatives which are effective inhibitors of cellular endocytosis. Said invention also discloses compounds of Formula-1, Diphenylthio urea and Diphenylurea derivatives and pharmaceutical composition comprising compounds of Formula-1, Diphenylthio urea and Diphenylurea derivatives along with suitable excipients.

Abstract: In one embodiment, an illustrative method herein may comprise: obtaining, by a device, a plurality of indications of errors experienced by a bot performing tasks, wherein each of the plurality of indications includes contextual information of a corresponding error; determining, by the device, correlated errors among the errors experienced by the bot; aggregating, by the device, contextual information of each of the correlated errors into aggregated contextual data; and providing, by the device, the aggregated contextual data with an error notification for a particular correlated error.

Abstract: A system and a method for determining semantic points in a human-to-human conversation is provided. The method includes identifying the human-to-human conversation including a plurality of dialogue turns and determining natural language (NL) attributes form each dialogue turn. Further, the method includes deriving a transient state, based on the one or more NL attributes. Further, the method includes deriving one or more conversation nuances associated with the human-to-human conversation based on the one or more NL attributes. Moreover, the method includes dynamically storing information associated with the human-to-human conversation based on the one or more NL attributes, the transient state, and the one or more conversation nuances associated with each dialogue turn and determining one or more semantic relations and associated dialogue timelines within the human-to-human conversation based on the dynamically stored information.

Abstract: A method for training a machine learning model. The method includes: determining a plurality of training sequences of training-input data elements, wherein for each training sequence each training-input data element contains sensor data for a time point from a time period assigned to the training sequence in which a prespecified event takes place at least once at one or more respective event time points; determining, for each training-input data element, the temporal distance between the time point for which the training-input data element contains sensor data and one of the one or more respective event time points; and training the machine learning model depending on the determined temporal distances.

Abstract: An organometallic compound represented by Formula 1: M1(L1)n1(L2)n2??Formula 1 wherein, M1 is a transition metal, L1 is a ligand represented by Formula 1A, and L2 is a ligand represented by Formula 1B, and n1 and n2 are each independently 1 or 2, wherein X1 and X2 are each independently C or N, Y1 is O, S, Se, C(R5)(R6), or N(R7), X44 is N or C(R44), X45 is N or C(R45), X46 is N or C(R46), and X47 is N or C(R47), and the other substituent groups are as defined herein.

Abstract: The present disclosure is concerned with 6-aza-nucleoside prodrugs that are capable of inhibiting a viral infection and methods of treating viral infections such as, for example, human immunodeficiency virus (HIV), human papillomavirus (HPV), chicken pox, infectious mononucleosis, mumps, measles, rubella, shingles, ebola, viral gastroenteritis, viral hepatitis, viral meningitis, human metapneumovirus, human parainfluenza virus type 1, parainfluenza virus type 2, parainfluenza virus type 3, respiratory syncytial virus, viral pneumonia, yellow fever virus, tick-borne encephalitis virus, Chikungunya virus (CHIKV), Venezuelan equine encephalitis (VEEV), Eastern equine encephalitis (EEEV), Western equine encephalitis (WEEV), dengue (DENV), influenza, West Nile virus (WNV), zika (ZIKV), Middle East Respiratory Syndromes (MERS), Severe Acute Respiratory Syndrome (SARS), and coronavirus disease 2019 (COVID-19), using these compounds.

Abstract: Self-consumable portions generation techniques from a digital document are described. The self-consumable portions are generated based on a determination of an amount of resources available at a receiver device that is to receive the digital document. Examples of the resources include an amount of memory resources, processing resources, and/or network resources associated with the receiver device. The self-consumable portions, once generated, are separately renderable at the receiver device.

Abstract: A computing system is described, where the computing system includes a processor and memory storing instructions that, when executed by the processor, cause the processor to perform several acts. The acts include receiving a query from an application executing on a client computing device that is in network communication with the computing system. The acts also include searching a computer-readable index of items based upon the query, identifying an item based upon the searching of the computer-readable index, transmitting the query to a computer-implemented model, and obtaining content generated by the computer-implemented model, where the computer-implemented model generated the content based upon the query. The acts further include returning at least one of the item or the content to the client computing device for presentment by way of the application executing on the client computing device.

Abstract: Various arrangements of wireless earbuds are presented. A first earbud, can include a first speaker, a first processing system, and a first wireless communication interface, that communicates with an audio source device using Bluetooth communications. A second earbud can include a second speaker, a second processing system, and a second wireless communication interface, that communicates with the audio source device and the first earbud using Bluetooth communications. The first earbud and the second earbud may be configured to wirelessly communicate with each other following completion of a first connected isochronous stream (CIS) event for the first earbud and second CIS event for the second earbud within a connected isochronous group (CIG) event.

Abstract: Embodiments of an apparatus for coating a plurality of gas lines are provided herein. In some embodiments, an apparatus for coating a plurality of gas lines via an ALD process includes: an oven having an enclosure that defines an interior volume configured to house the plurality of gas lines, the enclosure having a door configured for transferring the plurality of gas lines into and out of the interior volume; a plurality of inlet ports disposed through a first wall of the enclosure; a plurality of exhaust ports disposed through a second wall of the enclosure; a fluid panel disposed outside of the oven and coupled to the plurality of inlet ports via corresponding ones of a plurality of fluid distribution assemblies; and a foreline disposed outside of the oven and coupled to the plurality of exhaust ports.

Abstract: Systems, computer program products, and methods are described herein for monitoring an artificial intelligence (AI) engine. The present invention is configured to receive, from a first network device, a first set of decision parameters associated with an AI engine; encrypt the first set of decision parameters, generating an encrypted dataset; store the encrypted dataset on a transaction object; receive, from a second network device, an output associated with the AI engine; update the transaction object based on the output associated with the AI engine; and transmit a notification to the first network device, wherein the notification comprises a decrypted dataset.

Abstract: The invention relates to cell death of cancer cells, and in particular to biomarkers that may be used to identify cancer cells that are sensitive to death receptor ligand (DRL)-induced cell death. The invention also extends to prognostic methods and kits for identifying cancer cells that are sensitive to DRL-induced cell death. The invention further extends to novel compositions and therapeutic methods using such compositions for treating cancer.

Abstract: Methods, systems, and apparatuses include allocating a temporary parity buffer to a parity group. A write command is received that includes user data and is directed to a portion of memory included in a zone which is included in the parity group. A memory identifier is determined for the portion of memory. Parity group data is received from the temporary parity buffer using the memory identifier. Updated parity group data is determined using the parity group data and the user data. The updated parity group data is sent to the temporary parity buffer.

Abstract: A method for automatically triggering network slice selection assistance information (NSSAI) availability information updates with a network slice selection function (NSSF) includes receiving, from an access and mobility management function (AMF), a service request message. The method further includes determining, that the NSSAI availability information for the AMF is not present in an NSSAI availability information database maintained by the NSSF. The method further includes sending, to the AMF, a message for triggering the AMF to update its NSSAI availability information with the NSSF, receiving, an NSSAI Availability PUT request including NSSAI availability information for the AMF, and updating, the NSSAI availability information database to include the NSSAI availability information for the AMF.

Abstract: Computer implemented method, systems, and computer program products include program code executing on a processor(s) that determines that a user has purchased a product. The program code classifies, with at least one trained algorithm, the product into a product type classification. The program code implements one or more trigger events; based on each trigger event occurring, the processor(s) generates and transmits an inquiry to the user. The program code determines that a trigger event has occurred. The program code generates the inquiry, obtains responsive feedback, and generates a product review.

Abstract: An external fixation system may include first and second fixation rings and a plurality of adjustable length struts. Each adjustable length strut may have two joints, a rod, a tube, and an actuator configured to drive the rod axially relative to the tube to change an effective length of the strut. The system may include a plurality of controller modules each configured to couple to a corresponding strut. The external fixation system may have a manual mode of operation in which the controller modules are not coupled to the struts, and manual actuation of the actuators changes the effective lengths of the struts in discrete length increments. The external fixation system may have an automated mode of operation in which the controller modules are coupled to the struts, and automated actuation of the actuators changes the effective lengths of the struts in infinitesimally small length increments.