Abstract: The present disclosure provides compositions and methods for the genetic modification of cells, including, but not limited to, hepatocytes. The compositions and methods can comprise lipid nanoparticles, wherein the lipid nanoparticles comprise at least one bioreducible ionizable cationic lipid, at least one structural lipid, at least one phospholipid and at least one PEGylated lipid.

Abstract: A vehicle having a touch device configured to receive user inputs is disclosed. The touch device may include a haptic component configured to provide haptic feedback to a user and a force touch component configured to detect force applied by the user on the touch device and actuate the touch device. The vehicle may further include a transceiver and a processor. The transceiver may be configured to receive road information on which the vehicle may be traversing. The processor may be configured to obtain the road information from the transceiver, determine road condition based on the road information, and adjust parameters associated with the haptic component or the force touch component based on the road condition.

Abstract: Embodiments herein disclose a method for MBS switching and continuity in a 5G wireless network. The method includes establishing, by a gNodeB, a MBS session with a UE. Further, the method includes providing, by the gNodeB, MBS to the UE during the MBS session. Further, the method includes detecting, by the gNodeB, that the at least one MBS is going to get suspended or deactivated. Further, the method includes sending, by the gNodeB, an indication to the UE indicating the at least one MBS going to get suspended or deactivated prior to suspension or deactivation of the at least one MBS at the UE.

Abstract: The present disclosure involves systems, software, and computer implemented methods for humanizing the onboarding buddy recommendation process. One example method includes obtaining, at an employee management software system, a first psychometric profile of a first person. A plurality of psychometric profiles of a plurality of persons from a database are accessed by the employee management software system from a database. The first psychometric profile and the plurality of psychometric profiles are processed by the employee management software system through a self-learning machine learning model to generate a list of persons. A second person in the list is assigning, within the employee management software system, to have a matching relationship with the first person.

Abstract: An application may provide prebooking information for multiple packet streams to a baseband processor. The prebooking information may include some or all of a first packet stream and information describing one or more additional packet streams. The baseband processor may generate a buffer status report (BSR) corresponding to multiple packet streams to the extent that the data for the packet streams are to arrive at the baseband processor prior to the a preconfigured duration (e.g., the baseband processor receiving a dynamic grant (DG) from the base station). In this sense, application data may be prebooked, by the baseband processor and/or base station, before actually arriving at the baseband processor. These and many other examples and techniques described herein, including the use of dummy packets for a DG, managing DGs based on dummy packets, and more.

Abstract: Techniques disclosed herein relate to continuous analyte sensor quality measures. In some embodiments, the techniques may involve obtaining a current sensor-generated value that is indicative of a physiological characteristic of a user of a medical device, the current sensor-generated value produced in response to operation of a continuous analyte sensor device. The techniques may further involve obtaining a sensor quality metric that indicates accuracy of the current sensor-generated value. The techniques may further involve causing, in response to obtaining the sensor quality metric, configuration of a quality-specific operating mode of the medical device, the quality-specific operating mode comprising separate regulation of basal and bolus deliveries of a fluid medication based on the obtained sensor quality metric.

Abstract: The present document describes techniques associated with a textile-material model for vibroacoustic structural simulation. The techniques described herein provide a nontrivial methodology to test a textile and simplify its representation, which can enable prediction of acoustic performance (e.g., rub and buzz) of an electronic-speaker device having a textile mounted thereon. The textile is modeled as a textile-material model based on an elongation stiffness obtained from a time-temperature superposition curve of the textile, which is based on a dynamic mechanical analysis test of the textile in each of course and wale directions. The textile-material model is then applied to an assembly model of the electronic-speaker device to simulate a vibroacoustic response of the textile relative to the assembly model to predict a likelihood of rub and buzz.

Abstract: Described embodiments provide systems and methods for detection of the degradation of a virtual desktop environment. A computing device may receive data from a plurality of client devices. The computing device may identify a subset of client devices from the plurality of client devices with at least one characteristic in common based on the received data. The computing device may determine a ratio of the identified subset of client devices, the ratio being a comparison of client devices of the subset with a value above a first threshold to a total number of client devices of the subset, and the value being indicative of a characteristic of performance for that client device. The computing device may identify a cause of an anomaly in the performance of the application based on the ratio exceeding a second threshold.

Abstract: A system and method for authorization policy analysis. A policy analyzer answers first-order questions about authorization policies by reducing the policies to Satisfiability modulo theories (SMT). Input to the analyzer includes a policy to be analyzed and a schema for that policy. If the policy passes strict validation against the schema, then the analyzer symbolically evaluates the policy to encode its semantics as an SMT expression. The SMT expression is used for formulate a desired query about policy behavior such as, for example, if there is any input on which two policies both evaluate to true. The reduction to SMT produces a quantifier-free formula in a combination of decidable theories to support large scale deployments. This reduction is achieved by focusing the analysis on policies that pass strict validation, rather than attempting to analyze arbitrary policies.

Abstract: A system and method for authorization policy validation. A validator takes as input an authorization policy to be analyzed and a schema that specifies entity types and their attributes, types of entity parents in an entity hierarchy, and which entity types can be used with which actions. The validator checks that the policy conforms to the schema. If the check passes, then the policy is guaranteed to be free of both type errors and attribute access errors for any input that conforms to the schema.

Abstract: A scalable influence concentration community detection apparatus comprising an optical quantum computing device capable of nomogram analysis to provide detection of a fraudster community. A consent mechanism for sourcing consent & data from social media websites may be implemented through oscillation cryptography. Community detection may be used to determine influence concentration for each customer of the organization's customer base through the data collated by a central organization, various financial institutions, and/or social media websites. An optical quantum computing based nomogram is used to detect a community profile for relationships between users. A consent method to source data from social websites may leverage photonic waves superimposition with another security mechanism.

Abstract: Systems and apparatuses include one or more processing circuits comprising one or more memory devices configured to store instructions thereon that cause one or more processors to: receive electronic field performance analytics (eFPA) information related to a component of the vehicle; receive vehicle information including operating conditions and historical vehicle information of the vehicle; receive fleet information including fleet usage and fleet vehicle types of the fleet of vehicles; develop a prognostic model using a machine learning engine that receives the eFPA information, the vehicle information, and the fleet information; determine a failure probability using the prognostic model; compare the failure probability to a predetermined threshold; determine a remaining life of the component when the failure probability is equal to or greater than the threshold; and generate a report identifying the component and the remaining life.

Abstract: A system and method for authorization policy evaluation. Authorization policies are authored in a general-purpose authorization language. An evaluation engine is used in a provider network by application developers to manage access within their applications based on fine-grained permissions. The policy language combines elements of role-based and attributed-based access control within an intuitive syntax and efficient evaluation strategy. The policy syntax separates role-based expressions of a policy from attribute-based expressions of the policy.

Abstract: A computer implemented method comprising receiving invoice data comprising at least one of invoice descriptions and invoice characters from user computers, each of the invoice descriptions and invoice characters defines contexts and patterns, wherein each of the invoice data comprising a supplier-customer information that corresponds to a supplier-customer transaction; analyzing the at least one of the invoice descriptions and the invoice characters with corresponding contexts and patterns; determining that amount of the invoice characters is more than a threshold number of characters, for performing: matching invoice data, invoice characters with predefined historical invoice data that corresponds to the same supplier-customer information; computing a similarity score for each of the invoice data; and displaying recommendations including first account codes to map the one or more first account codes to each of the one or more invoice data based on the similarity score; determining that amount of the invoice

Abstract: An approach is disclosed that receives a request from a requestor over a computer network, the request including a set of encrypted user data that includes interest vectors pertaining to a set of users. A homomorphic encryption processing of the encrypted user data is performed using a distance function that utilizes an encrypted lookup table. This results in a set of distance results. An encrypted distance array is then generated from the distance results. The encrypted distance array describes similarities between the users in the set of encrypted data. A set of encrypted recommendations are returned to the requestor. The recommendations returned are derived from the encrypted distance array.

Abstract: Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

Abstract: A medical device system and related methods of automatically adjusting control parameters of a medical device are disclosed. One method involves obtaining data pertaining to a physiological condition of a patient during operation of the medical device in accordance with the operating mode, determining a plurality of adjusted values for the control parameter based at least in part on the data, determining a respective cost associated with each respective adjusted value for the control parameter based at least in part on the data using a cost function, identifying, from among the plurality of adjusted values, an optimized value from among the plurality of adjusted values, wherein the optimized value has a minimum cost associated therewith from among the plurality of costs, and updating the control parameter at the medical device to the optimized value.

Abstract: An integrated circuit includes a secure asset, a security system, and an efficacy decoder. The security system is triggered to operate in one of its functional states. Further, the security system receives various test requests for an access to the secure asset, and determines, based on the triggered functional state thereof, one or more test requests authorized to access the secure asset. The efficacy decoder similarly receives the test requests and determines one or more allowable requests for the triggered functional state of the security system. Further, the efficacy decoder determines an efficacy value for the security system based on a comparison between the test requests authorized by the security system and the allowable requests associated with the triggered functional state. The efficacy value is indicative of a security level of the security system operating in the triggered functional state.

Abstract: An integrated circuit (IC) includes first and second secure memory elements storing identical data and a memory management system that executes a memory operation on the first secure memory element and a control operation on the second secure memory element simultaneously. The control operation is associated with safety of the IC and is executed to enable error detection in the second secure memory element, fault injection for the second secure memory element, masking of a power profile associated with the memory operation, or a combination thereof. After the execution of the memory operation and the control operation, the memory management system copies the data of the first secure memory element to the second secure memory element to maintain sanity of the second secure memory element.