Abstract: The present invention relates to a process for producing a recombinant protein in a cell culture medium. comprising culturing mammalian cells expressing the protein of interest in a production medium at suitable conditions: and supplementing the production medium with feed components in such quantity that the residual carbon to nitrogen ratio is controlled. The present invention further relates to a process for producing a recombinant protein in a cell culture medium, wherein recombinant protein of interest has increased acidic variants and/or acidic variants and reduced basic variants.

Abstract: Systems and techniques that facilitate Clifford circuit synthesis are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise a receiver component that receives a quantum circuit design comprising a Clifford circuit representation and one or more circuit restrictions, and a machine learning component that generates, using a machine learning model, a replacement circuit based on the one or more circuit restrictions and the Clifford circuit representation, and generates a modified quantum circuit design by replacing the Clifford circuit representation with the replacement circuit.

Abstract: A data processing and analysis system that optimizes the resources to be used for data storage and refresh events. A partitioner module for a data analysis system can receive a first client criteria and a first client dataset that includes tabular data and calculate scores that are used to generate partitioning strategies. The selected partitioning strategy can be implemented to produce aggregated data that can be stored in an intelligent data mart. The partitions can then be accessed by a data visualization platform for intelligent, dynamic responses to user requests for data analyses and generation of visualizations. By providing synchronous partitioning of data (especially big data) and intelligent refresh, the data can move from the back-end to the front-end with minimal user clicks and minimal latency in performance.

Abstract: A method, including, receiving a plurality of origin geolocation regions and a plurality of destination geolocation regions, associating a wireless tracker with an asset, wherein the wireless tracker emits a tracker location at a predetermined interval, receiving the emitted wireless tracker location, creating a shipment associated with the asset if the asset has egressed one of the plurality of origin geolocation regions, setting the one of the plurality of origin geolocation regions the asset egressed from as the asset origin, determining a subset of the plurality of destination geolocation regions based on at least one of; a historical probability of previous shipment destinations based on the asset origin, a historical probability of previous shipment destinations based on an asset type and a directional probability of the shipment travel in a direction towards the plurality of destination geolocation regions.

Abstract: A method, including recognizing an indicia pattern on an asset utilizing a mobile device based augmented reality vision system, prompting one of acceptance and disapproval of the indicia pattern on the asset, detecting a wireless signal from a wireless tracking device if the asset indicia pattern is accepted, pairing the asset and the wireless tracking device and prompting one of confirmation and refusal of the pairing.

Abstract: A data processing and analysis system that optimizes the resources to be used for data storage and refresh events. A partitioner module for a data analysis system can receive a first client criteria and a first client dataset that includes tabular data and calculate scores that are used to generate partitioning strategies. The selected partitioning strategy can be implemented to produce aggregated data that can be stored in an intelligent data mart. The partitions can then be accessed by a data visualization platform for intelligent, dynamic responses to user requests for data analyses and generation of visualizations. By providing synchronous partitioning of data (especially big data) and intelligent refresh, the data can move from the back-end to the front-end with minimal user clicks and minimal latency in performance.

Abstract: A method for expanding a hierarchical taxonomy associated with a corpus of documents may include performing cluster analysis on documents associated with a leaf node of the taxonomy to determine a plurality of first clusters, each cluster of the plurality of first clusters being associated with one or more documents associated with the leaf node; determining one or more topics associated with the documents in each cluster of the plurality of first clusters; performing cluster analysis on the topics to determine a plurality of second clusters, each cluster of the plurality of second clusters being associated with one or more of the topics; determining a name for each cluster of the plurality of second clusters; and expanding the hierarchical taxonomy based on the topics associated with the documents in each cluster of the plurality of first clusters and the determined name for each cluster of the plurality of second clusters.

Abstract: A system, including, associating a wireless tracker with an asset, wherein the wireless tracker emits a tracker identification and a sensor payload including a fixed identification, receiving by at least one of a plurality of mobile devices the tracker identification, the sensor payload and an associated location of the at least one of the plurality of mobile devices and monitoring the tracker identification and the associated location of the at least one of the plurality of mobile devices.

Abstract: A device such as a mobile device may be configured to connect to and/or communicate with one or more networks. The device may receive information indicating that there is at least one other network within a range of the device. One of the networks within range of the device may comprise a preferred cellular network. The device may then scan for the preferred cellular network and communicate with the preferred cellular network. The device may also detect the preferred cellular network based on information stored on the device. When the device is within range of the preferred cellular network, the device may detect the preferred cellular network based on the stored information and begin communicating with the preferred cellular network.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: A system, including, associating a wireless tracker with an asset, wherein the wireless tracker emits a tracker identification and a sensor payload including a fixed identification, receiving by at least one of a plurality of mobile devices the tracker identification, the sensor payload and an associated location of the at least one of the plurality of mobile devices and monitoring the tracker identification and the associated location of the at least one of the plurality of mobile devices.

Abstract: A system, including a housing having a front and a rear, a controller contained within the housing, a trigger module contained within the housing, the trigger module coupled to the controller, the trigger module receiving a trigger signal and outputting a range measurement signal, a range module contained within the housing, the ranging module coupled to the controller, the range module outputs a range data signal in response to the range measurement signal, a memory module contained within the housing, the memory module coupled to the controller, the memory module storing the range data signal, a wireless transceiver contained within the housing, the wireless transceiver coupled to the controller the wireless transceiver outputting the stored range data signal and an affixment coupled to the housing rear enabling physical connection to a shipping structure.

Abstract: A method, including, associating a wireless tracker with an asset, tracking a location of the asset via the wireless tracker, determining a recipient mobile device authorized to accept receipt of the asset, determining a recipient mobile device holder is authorized to accept receipt of the asset, determining if the location of the asset is within a defined delivery location, determining if the authorized recipient mobile device is within the defined delivery location, sending a passcode to the authorized recipient mobile device if the authorized recipient mobile device location and the location of the asset are within the defined delivery location, receiving an authenticated passcode from the authorized recipient mobile device within the defined delivery location and notifying a delivery agent that delivery of the asset is approved.

Abstract: Method for making a coating on a surface of a substrate are described herein. The methods include applying a mixture to a surface of a substrate while maintaining the substrate at an elevated temperature. The mixture includes a particulate material and a proteinaceous material.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: Embodiments of the present disclosure include systems, methods, and devices for tracking a shipment using a wireless tracker. In such embodiments, the wireless tracker determines a location of the wireless tracker device and regulates battery usage of wireless tracker based on the location. In addition, the wireless tracker is configured to determine a current location of the wireless tracker device at one or more intervals such that the one or more intervals are based on a delivery route of the shipment. Moreover, the wireless tracker is configured to receive and verify one or more codes to for a chain of custody of the shipment. Also, the wireless tracker is configured to determine a trigger event based on the location of the wireless tracker device and/or sensor information as well as send a notification to a computer server based on the trigger event.

Abstract: Systems, methods, and computer-readable media for scoring an individual interaction session between a user and a software program are disclosed. A method includes recording, by a processing device, one or more actions undertaken by the user with the software program to obtain recorded session data, determining, by the processing device in real-time, one or more metrics that correspond to at least one of the one or more actions undertaken by the user with the software program, measuring, by the processing device, the one or more actions undertaken by the user based on the one or more metrics to obtain metric data, and providing, by the processing device, the recorded session data and the metric data as an input for one or more of a machine learning algorithm and a predictive analytic algorithm. The one or more of the machine learning algorithm and the predictive analytic algorithm scores the individual interaction session.

Abstract: A system, including, associating a wireless tracker with an asset, wherein the wireless tracker emits a tracker identification and a sensor payload including a fixed identification, receiving by at least one of a plurality of mobile devices the tracker identification, the sensor payload and an associated location of the at least one of the plurality of mobile devices and monitoring the tracker identification and the associated location of the at least one of the plurality of mobile devices.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support optimization of communications transmitted over a plurality of communication mediums. Historical communications data may be analyzed to identify clusters of users and a model may be constructed based on the clusters. Candidate sequences of communications over a period of time (e.g., sequences of communication successfully triggering events) are identified using metrics (e.g., probabilities, attribution penalties, etc.) derived from the model or other information. The candidate sequences of communications may be determined at a group or cluster level and then tuned or optimized (e.g., using transition sequences, harmonization, entity priors, etc.) for individual users to produce optimized sequences of communications. The optimized sequences of communications may then be transmitted to individual users according to each user's optimized sequence of communications.

Abstract: In some examples, personality trait-based customer behavior prediction may include extracting personality features from images associated with a user. Social style features may be extracted from social data associated with the user. Consumer demographics features may be extracted from consumer demographics data associated with the user. Based on a probability analysis of the extracted features, relevant features may be selected from the images, the social data, and the consumer demographics data. Historical purchase features may be extracted from historical purchase data associated with the user. At least one machine learning model may be trained based on the extracted features, and used to generate a next best offer for the user for purchase of a product or a service. A purchase of the product or the service may be performed based on the generated offer.