Abstract: Embodiments of the present disclosure relate to substrate transfer systems, including the use of a carrier configured to transfer objects through a substrate processing system. The carrier generally includes a base, a first magnetic levitation element and a second magnetic levitation element coupled to the base. The first magnetic levitation element and the second magnetic levitation element may be aligned in a first direction, the first magnetic levitation element may include a first array of features, and the second magnetic levitation element may include a second array of features. The carrier may also include a first support member coupled to the base and a second support member coupled to the base. The first support member and the second support member are disposed below the first magnetic levitation element and the second magnetic levitation element, and the first support member and the second support member are configured to support an object.

Abstract: Method, system, and computer-readable storage media for evaluating effectiveness of a prompt are disclosed. Input data for generating the prompt is received. Based on the input data, sub-prompts are generated and each of the sub-prompts is evaluated. For evaluating a sub-prompt, a sub-response corresponding to the sub-prompt is generated, and an optimal score is computed for the sub-response. The optimal score value is computed for the sub-response by computing a score value for evaluation of each evaluation aspect of multiple evaluation aspects and computing a combined score value based on the score value computed for evaluation of each evaluation aspect. The optimal score value is compared with a predetermined threshold value. If the optimal score value exceeds the predetermined threshold value, the respective sub-prompt is determined as the most effective prompt for generating a response using a Large Language Model (LLM) corresponding to the input data.

Abstract: A network system determines a group of transport chains to transport a number of individuals to and from a common site, where each transport chain provides transport for multiple job orders. The group of transport chains can be determined or otherwise configured to optimize one or more group-level metrics. The network system transmits data to a computing device associated with each user that is to be transported by transport chain, to provide the user information about the transport chain.

Abstract: Method, system, and computer-readable storage media for evaluating effectiveness of a prompt are disclosed. Input data for generating the prompt is received. Based on the input data, sub-prompts are generated and each of the sub-prompts is evaluated. For evaluating a sub-prompt, a sub-response corresponding to the sub-prompt is generated, and an optimal score is computed for the sub-response. The optimal score value is computed for the sub-response by computing a score value for evaluation of each evaluation aspect of multiple evaluation aspects and computing a combined score value based on the score value computed for evaluation of each evaluation aspect. The optimal score value is compared with a predetermined threshold value. If the optimal score value exceeds the predetermined threshold value, the respective sub-prompt is determined as the most effective prompt for generating a response using a Large Language Model (LLM) corresponding to the input data.

Abstract: Engine order cancellation (EOC) systems generate feed forward noise signals based on the engine or other rotating shaft RPM and use those signals and adaptively configured W-filters to reduce the in-cabin SPL by radiating anti-noise through speakers. An EOC system may include a drive mode detector for detecting different vehicle drive modes based on an analysis of signals indicative of current vehicle operating conditions. Upon detection, the EOC system may adaptively adjust various tuning parameters for the EOC algorithm based on the current vehicle drive mode. The EOC system may also selectively target different sets of engine orders for noise cancellation according to the current vehicle drive mode based on which engine orders are dominant during that drive mode.

Abstract: A computer-implemented method includes accessing virtual private cloud flow logs of network traffic data originating from a virtual private cloud, generating filtered flow logs by filtering the virtual private cloud flow logs, extracting features based on a plurality of attributes from the filtered flow logs, training one or more machine learning models based on the features, applying the one or more machine learning models to the network traffic data to identify potential beacons, generating an alert notification that identifies the potential beacons, and communicating the alert notification to an alerting system.

Abstract: The disclosure provides for ribozyme-mediated fusion constructs and systems and methods thereof, for use in a variety of applications, including for inducible gene expression systems, gene therapy, and combinatorial screening.

Abstract: A method of monitoring a flame rod of a furnace including: detecting an average current of the flame rod during a burn cycle of the furnace; determining a burn time of the burn cycle of the furnace; and determining a remaining life of the flame rod based on at least the average current and the burn time.

Abstract: Provided is a method for suggesting a caption for an image, comprising: receiving the image; determining a plurality of impacting categories associated with a plurality of contextual keywords for the image, each of the plurality of impacting categories representing a sentiment associated with the plurality of contextual keywords; grouping the plurality of contextual keywords into a plurality of groups based on the plurality of impacting categories; determining an order associated with the plurality of contextual keywords, based on a pre-determined impacting function; generating at least one caption by processing each contextual keyword, based on the order associated with the plurality of contextual keywords; determining a priority value associated with each of the at least one caption based on information associated with the corresponding caption, a user profile, and the image; and suggesting the caption from the at least one caption based on the priority value.

Abstract: A datacenter that hosts a client instance may receive an input to perform discovery against a containerized application orchestration infrastructure that includes computing clusters associated with one or more resource providers. The datacenter retrieves cluster data associated with each computing cluster from the one or more resource providers, automatically creates respective discovery schedules for the computing clusters based on the cluster data, automatically executes the respective discovery schedules for the computing clusters, automatically retrieves respective authentication bearer tokens associated with the computing clusters, automatically performs respective discovery processes against the computing clusters using the respective authentication bearer tokens, and stores the resource data received from the computing clusters in a database.

Abstract: Disclosed is a method of detecting anomalies in time series data. The method includes computing a first bound for a first window of the time series a second bound for a second window of the time series, wherein the second window includes more samples of the time series data. The method also includes generating a first outlier status that indicates whether a current value of the time series data exceeds the first bound, and generating a second outlier status that indicates whether the current value of the time series data exceeds the second bound. The method also includes determining, by a processing device, whether an anomaly is detected in the time series data based on values of the first outlier status and the second outlier status. The method also includes generating an alert in response to determining that the anomaly is detected and sending the alert to a notification system.

Abstract: Embodiments of the present disclosure relate to substrate transfer systems, including the use of a carrier configured to transfer objects through a substrate processing system. The carrier generally includes a base, a first magnetic levitation element and a second magnetic levitation element coupled to the base. The first magnetic levitation element and the second magnetic levitation element may be aligned in a first direction, the first magnetic levitation element may include a first array of features, and the second magnetic levitation element may include a second array of features. The carrier may also include a first support member coupled to the base and a second support member coupled to the base. The first support member and the second support member are disposed below the first magnetic levitation element and the second magnetic levitation element, and the first support member and the second support member are configured to support an object.

Abstract: Provided herein are engineered linear RNA polynucleotide molecules that form circular RNA polynucleotide molecules in cells. Also provided are DNA constructs encoding the engineered linear RNA polynucleotide molecules.

Abstract: A computer-implemented method includes accessing virtual private cloud flow logs of network traffic data originating from a virtual private cloud, generating filtered flow logs by filtering the virtual private cloud flow logs, extracting features based on a plurality of attributes from the filtered flow logs, training one or more machine learning models based on the features, applying the one or more machine learning models to the network traffic data to identify potential beacons, generating an alert notification that identifies the potential beacons, and communicating the alert notification to an alerting system.

Abstract: The present disclosure is generally directed to the use of mixed reality to provide safety information as well as infotainment during flight. Demonstrations of the safety information for the aircraft are augmented in a 3-D way with a virtual representation of the aircraft. The virtual representation provides the safety instructions to the passengers. The mixed reality concept provides the safety information with the help of video-see through mixed reality by way of a head-mounted display worn by the passengers. The safety instructions are provided with a complete working view of locations and operations for the safety jackets, emergency exits, and oxygen passenger service units.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria, rules, indicators, or scenarios so as to generate scores, reports, alerts, or conclusions that the analyst may quickly and efficiently use to evaluate the groups of data clusters.

Abstract: Provided is a method for suggesting a caption for an image, comprising: receiving the image; determining a plurality of impacting categories associated with a plurality of contextual keywords for the image, each of the plurality of impacting categories representing a sentiment associated with the plurality of contextual keywords; grouping the plurality of contextual keywords into a plurality of groups based on the plurality of impacting categories; determining an order associated with the plurality of contextual keywords, based on a pre-determined impacting function; generating at least one caption by processing each contextual keyword, based on the order associated with the plurality of contextual keywords; determining a priority value associated with each of the at least one caption based on information associated with the corresponding caption, a user profile, and the image; and suggesting the caption from the at least one caption based on the priority value.

Abstract: Embodiments relate to the autonomous remediation of IT asset records in accordance with rules-based asset management policies. An IT asset record associated with an IT asset and having a first piece of IT asset information is received and evaluated for compliance in accordance with defined asset management rules. The asset management rules require the IT asset record to include both the first piece and a second piece of IT asset information. In view of the rules, a determination is made that the IT asset record requires remediation. Based on a determination that the IT asset record requires remediation, a decision-tree machine learning model is utilized to infer, based on IT asset information available in the IT asset record, at least the second piece of IT asset information to place the IT asset record in compliance with the asset management rules.