Abstract: Embodiments are in the field of mobile applications and wireless processing, especially of commercial transactions, and more specifically for enhancing the user experience in restaurants even while enhancing the service delivery model efficiency of restaurants. Embodiments include a computer accessible medium for processing commercial transactions, to perform operations that comprise identifying wireless devices and determining their respective locations in a vendor service area, sending an interactive order menu to the identified wireless devices, receiving and displaying order data from the wireless devices, processing the received order data, and accepting a payment for a completed order.

Abstract: In one embodiment, an AR/VR system includes a social-networking application installed on the AR/VR system, which allows a user to access on online social network, including communicating with the user's social connections and interacting with content objects on the online social network. The AR/VR system also includes an AR/VR application, which allows the user to interact with an AR/VR platform by providing user input to the AR/VR application via various modalities. Based on the user input, the AR/VR platform generates responses and sends the generated responses to the AR/VR application, which then presents the responses to the user at the AR/VR system via various modalities.

Abstract: Embodiments described herein provide a cross-lingual intent classification model that predicts in multiple languages without the need of training data in all the multiple languages. For example, data requirement for training can be reduced to just one utterance per intent label. Specifically, when an utterance is fed to the intent classification model, the model checks whether the utterance is similar to any of the example utterances provided for each intent. If any such utterance(s) are found, the model returns the specified intent, otherwise, it returns out of domain (OOD).

Abstract: According to various embodiments, a solution including methods, systems, and computer program products is provided for assessing environmental context around an individual taking an assessment. In various embodiments, a method of assessing an individual is provided. A plurality of signals, each signal from one sensor of a plurality of sensors, are received. Each signal may be associated with a modality of assessment. Each of the plurality of signals may be processed with an individualized signal processing module. A plurality of features, each from one of the processed plurality of signals, may be extracted. The plurality of features may be aggregated into a machine learning input with a feature processing module. The machine learning input may be provided to a machine learning algorithm. That environmental interference is occurring may be inferred based on the output of the machine learning algorithm.

Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.

Abstract: Systems, methods, and other embodiments associated with a dynamic cache manager are described. In one embodiment, a method includes monitoring, by the cache manager, queries that are submitted for execution to a database system. For a given monitored query, parsing the monitored query to identify one or more query heuristics and determine whether the one or more query heuristics matches one or more trigger heuristics from a set of query predictions, wherein the set of query predictions are predicted by a machine learning model. The cache manager prefetches query results corresponding to a predicted query pattern and stores the prefetched query results in a cache.

Abstract: A system and method for collaborative smart evidence gathering and investigation for incident response attack surface management and forensics in a computing environment is disclosed. The system obtains evidence data from multiple sources with various entry points, capturing contextual information. Further, the system processes the data using an artificial intelligence (AI) root cause analysis, graph augmented retrieval, semantic classifier, meaning extraction, and causal discovery model. Furthermore, the system performs similarity analysis to assess evidence quality, sufficiency, and completeness. Based on the evaluation, the system determines appropriate actions to be taken on the processed evidence data. Additionally, the system executes the actions to resolve the incidents effectively by using a smart expert system, a human agent participation, or an AI co-pilot, as a first-class investigator and collaborator in the process.

Abstract: A method for controlling a dual fuel engine system includes determining a gas flow target for an internal combustion engine of the dual fuel engine system, where the gas flow target is based on a gas power target of the internal combustion engine, a thermal efficiency estimate of the internal combustion engine, and a lower heating value (LHV) within the internal combustion engine. The method also includes adjusting the gas flow target based on at least one of a measured gas temperature or a measured gas injector pressure and determining at least one base gas injector command based on the adjusted gas flow target, a gas substitution rate estimate, and a gas substitution rate target. The method further includes determining, based on the at least one base gas injector command, a gas injector command for at least one engine bank.

Abstract: Various embodiments include a camera with folded optics. Some embodiments include a voice coil motor (VCM) actuator module to provide autofocus (AF) and/or optical image stabilization (OIS) movement. Some embodiments include suspension arrangements. Some embodiments include flexure arrangements.

Abstract: The present disclosure provides binding proteins, such as antibodies and antigen-binding fragments, which specifically bind to human IL-36 cytokines, IL-36?, IL-36?, and/or IL-36?, and block the IL-36 stimulated signaling pathways. Compositions comprising such binding proteins and methods of making and using such binding proteins are also provided.

Abstract: There is disclosed herein a computer-implemented system and method of providing wellness detect and response (WDR) security services for an enterprise, including computing, for the enterprise, a quantitative user-centric security posture, wherein computing the quantitative user-centric security posture comprises calculating, for a user, a quantitative user risk profile according to a combination of user role, user privileges, user behavior, and digital assets assigned to a user and owned by the enterprise.

Abstract: Programmable guide RNAs (gRNAs) play a central role in the CRISPR revolution sweeping biology and medicine by directing the function of a Cas protein effector to a target gene of choice. To achieve programmable control over regulatory scope, the activity of a conditional guide RNA (cgRNA) depends on the presence or absence of an RNA trigger, allowing for cell-selective regulation of CRISPR/Cas function. Unlike a standard gRNA, a cgRNA is programmable at multiple levels, with the target-binding sequence controlling the target of Cas activity (edit, silence, induce, or bind a gene of choice) and the triggerbinding sequence controlling the scope of Cas activity. cgRNA mechanisms that are allosteric allow for independent design of the target and trigger sequences, providing the flexibility to select the regulatory target and scope independently.

Abstract: A device may receive business requirements data for implementing in a cloud data fusion system, and may process the business requirements data, with a machine learning model, to generate a transformation map for transforming the business requirements data. The device may generate code for the cloud data fusion system based on the transformation map, and may identify one or more differences between the code and previous code of the cloud data fusion system. The device may modify the code based on the one or more differences and to generate modified code, and may validate the modified code for transformation logic of the cloud data fusion system to generate final code. The device may perform one or more actions based on the final code.

Abstract: The present invention is a DNA expression vector comprising: a toxP: a mutant toxO that blocks Fe-mediated regulation of gene expression; and a DNA sequence encoding a protein, wherein the toxP and the mutant toxO regulate expression of the DNA segment encoding the protein. It is preferred that DNA expression vectors of the present invention include DNA sequences encoding a signal peptide so that a protein expressed is attached to the signal peptide prior to processing. Novel proteins are produced off of the DNA expression vector of the present invention.

Abstract: Disclosed are compounds and compositions that modulate cannabinoid receptors, methods of modulating cannabinoid receptors, and methods of treating various disorders related to the modulation of cannabinoid receptors. This disclosure is directed to methods of treating cannabinoid dependence, neuropathy, inflammation, glaucoma, a neurodegenerative disorder, a motor function disorder, a gastrointestinal disorder, hypothermia, emesis, loss of appetite, or anorexia associated with AIDS.

Abstract: The systems and methods disclosed herein include a handheld programmer for replacing LED drivers in the field. The handheld programmer includes a communications module configured to communicate with a first light emitting diode (LED) driver and a second LED driver, and a processor configured to read a plurality of settings from the first LED driver and program the second LED driver with the plurality of settings from the first LED driver.

Abstract: The disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a machine learning model and a credit value model to generate user interface elements that present credit values and credit value conditions in real time for user accounts. For instance, the disclosed systems can generate an activity score using an activity machine learning model with internal user activity data of a user account. Then, utilizing a credit value model with the activity score and a user activity condition, the disclosed systems can determine a dynamic credit value range for the user account. Indeed, the disclosed systems can display user interface elements with selectable credit values from the dynamic credit value range. Additionally, the disclosed systems can utilize the credit value model to determine and display one or more dynamic credit value conditions for a selected credit value received from the selectable credit values.

Abstract: A tamping device for capsule filling machines is disclosed. The device includes a dosing disc having at least one dosing chamber adapted to be filled with a material which is to be filled in a capsule. The device includes at least one piston adapted to be moved within the at least one dosing chamber to perform the tamping operation on the material. The device includes at least one slider disposed below the dosing disc and adapted to abut the dosing disc. The at least one slider is adapted to support the material within the at least one dosing chamber to perform the tamping operation. The device includes a support pad movably disposed beneath the at least one slider and adapted to be moved towards the at least one slider.

Abstract: JSON Duality Views are object views that return JDV objects. JDV objects are virtual because they are not stored in a database as JSON objects. Rather, JDV objects are stored in shredded form across tables and table attributes (e.g. columns) and returned by a DBMS in response to database commands that request a JDV object from a JSON Duality View. Through JSON Duality Views, changes to the state of a JDV object may be specified at the level of a JDV object. JDV objects are updated in a database using optimistic lock.

Abstract: A lift device includes a lift assembly, a platform, and a controller. The lift assembly is configured to be driven to increase or decrease in length by extension and retraction of one or more actuators. The platform is coupled at an upper end of the lift assembly. The controller is configured to receive a value of a pitch angle and a roll angle of the lift device from an orientation sensor. The controller is further configured to determine a maximum allowable elevation of the platform based on at least one of the value of the roll angle and the value of the pitch angle of the lift device. The controller is further configured to limit operation of the lift assembly based on the maximum allowable elevation of the platform.