Abstract: One or more systems for automated preparation of a regenerative epidermal suspension comprises a base unit, a cartridge assembly containing a cup, and a tissue disaggregator. The system may also include related tools. The system executes one or more sequences wherein a first motor actuates the pestle against a tissue sample that is disposed along a screen within the cup while the tissue sample is in contact with, in sequence, an enzyme solution, a first buffer solution, and then a second buffer solution. To transition between fluidic contact stages or steps, the tissue disaggregator engages with and lifts the cup into a raised position within a processing area of the cartridge while a base plate motor rotates the appropriate well into alignment under the cup for each processing step. Once the sequence is complete, a user may draw up a regenerative epidermal suspension through an opening in the cartridge top cover.

Abstract: One or more methods for automated preparation of a regenerative epidermal suspension comprises a processor receiving an initiation signal that indicates that a cartridge that has a cover, a cup containing a tissue sample, and a well plate situated beneath the cover that has a first well containing an enzyme solution and a second well containing a buffer solution, has been placed on a sensor, executing a sequence that actuates a tissue disaggregator against the tissue sample in the cup positioned in the first well, raises the cup to an upper position, rotates the well plate to position the second well beneath the cup, lowers the cup to a position within the second well, and actuates the tissue disaggregator against the tissue sample in the second well.

Abstract: The technology generally relates to providing search results that include a recommendation to install an application that can provide content relevant to the search query. A search query for content submitted by a user device may be received by a search server. The search server may identify an indexed web resource that satisfies the search query. The identified indexed web resource may be identified as being accessible by an application. The search server may determine the application is not installed on the user device. Based on determining the application is not installed on the user device, provide a link to an installation location for the application to the user device in response to the search query.

Abstract: Systems and methods for decision tree construction and update using quantum algorithms are disclosed. A method may include: receiving, by a classical computer program, a dataset comprising a plurality of training examples, each of the plurality of training examples having a plurality of features; loading, by a classical computer program, the dataset into a quantum accessible data structure; providing, by the classical computer program, the quantum accessible data structure to a quantum computer, wherein the quantum computer is configured to perform quantum estimation of a Pearson correlation coefficient on the dataset in the quantum accessible data structure to create a weighted dataset; clustering, by the classical computer program and the quantum computer, each of the plurality of training examples in the weighted dataset into one of a plurality of clusters; and selecting, by the classical computer program, a label for each of the plurality of clusters.

Abstract: A computer-implemented method comprising predicting 5G usage data including generating at least one of first to third 5G usage data predictions, wherein generating the first 5G usage data prediction comprises using a third model to generate the first 5G usage data prediction based on predicted non-network data of a first intermediate prediction and predicted non-5G network usage data of a second intermediate prediction, wherein generating the second 5G usage data prediction comprises using the third model to generate the second 5G usage data prediction based on predicted non-network data of the first intermediate prediction and predicted non-5G network usage data of a third intermediate prediction, and wherein generating the third 5G usage data prediction comprises using the third model to generate the third 5G usage data prediction based on the predicted non-network data of the first intermediate prediction and predicted non-5G network usage data of a sixth intermediate prediction.

Abstract: One or more methods for treating a tissue site comprises collecting a tissue sample that has keratinoytes and placing the tissue sample in a cartridge that has a well plate, positioning the cartridge within a base unit that has a tissue disaggregator, activating the base unit to rotate the well plate to align wells in the well plate with the tissue sample and the tissue disaggregator, operate the tissue disaggregator to separate the tissue sample to form a regenerative epidermal suspension, and provide the regenerative epidermal suspension to a tissue site to enhance healing of the tissue site.

Abstract: The system includes a parsing module to receive one or more input constructs from a source database in a first syntactical dialect, parse the one or more input constructs received in the first syntactical dialect using an external domain specific language parser, converts the one or more input constructs upon parsing into an abstract syntax tree corresponding to the first syntactical dialect of the source database. A canonicalization module transforms the abstract syntax tree into a canonical abstract syntax tree by utilizing a library of a plurality of operators and expressions corresponding to the first syntactical dialect. A tree optimization module optimizes the canonical abstract syntax tree by utilizing a set of optimization rules. An input translation module converts the canonical abstract syntax tree into an output code corresponding to a second syntactical dialect associated with a target database for compatibility using a translation layer.

Abstract: A system and methods include a negative certificate authority for distributed management of negative certificates. An authorization restriction is associated with an untrusted user. A negative certificate generated for the untrusted user includes a public key associated with the untrusted user and an authorization restriction. The authorization restriction includes at least one global restriction, which is applicable to each consortium member that subscribes to the negative certificate. The authorization restriction includes at least one local restriction, which allows individual consortium members to further define their own locally applicable restrictions using the negative certificate authority. The negative certificate is accessible to each member of the consortium to enforce the authorization restriction against a transaction request. A secure contributor record including a unique cryptographically generated address is generated for each contributor.

Abstract: A system for data warehouse workload transformation is disclosed. A data extraction module receives job metadata from one or more extract transform load applications, extracts domain logic information from the job metadata. A canonical model generation module creates one or more relational models from the domain logic information, generates a canonical model for the job metadata by merging the one or more relational models. A model optimization module creates a query execution plan using an optimization technique, passes the canonical model through one or more optimization layers, and optimizes the query execution plan to execute common logic at a single point of time for removing one or more redundant operations. A code generation module generates an output code corresponding to the predefined target environment from an optimized canonical model, upon mapping of the one or more entities, for the workload transformation.

Abstract: In some embodiments, a kit for preparing a cell suspension may include a device and a housing. The device may include a first label identifying a first reservoir of the device for use with a first portion of a tissue processing method and a second label identifying a second reservoir of the device for use with a second portion of the tissue processing method. The housing includes a first housing portion configured to store a first set of components associated with the first portion of the tissue processing method. The first housing portion includes a first visual indicator associated with the first label of the device. The second housing portion may be configured to store a second set of components associated with the second portion of the tissue processing method. The second housing portion may include a second visual indicator associated with the second label of the device.

Abstract: A method for generating a dynamic interface to display real-time information about a plurality of tradeable assets within a portfolio. The method includes receiving real-time data for each of the plurality of tradeable assets and generating a node for each tradeable asset. The nodes include a first characteristic indicative of a volume relative to the portfolio and a second characteristic indicative of a trading momentum. The method includes generating the dynamic interface which includes positioning each node within a circular common area, with the position between a center of the circular common area and an outer edge of the circular common area, the position based on the first characteristic of each node. One or more nodes has an angular movement based on the second characteristic, and the dynamic interface updates with real-time changes in the data of any of the plurality of tradeable assets.

Abstract: An authentication screen that prevents access to at least one application via the computing device can be rendered on a display of a computing device. The computing device can scan a physical medium that is external to, and independent of, the computing device to acquire challenge data for a user from the physical medium and the computing device can acquire response data from the user. In response to a successful match between the challenge data and the response data, the authentication screen can be removed from the display and access to the at least one application can be granted. Once access to the computing device is granted to the user, the computing device can identify the user and manage the challenge data, response data, SSO sessions, and/or personalized device configurations.

Abstract: One or more cartridges for preparation of a regenerative epidermal suspension comprises a cover with a raised processing opening, a cup that can be received within the raised processing opening and has a screen, and a well plate that is positioned under the cover, has a well, and rotates relative to the cover such that the well aligns with the raised processing opening. One or more cartridges for preparation of a regenerative epidermal suspension comprises a cover with an opening that can receive a tissue sample.

Abstract: One or more methods for treating a tissue site comprises collecting a tissue sample that has keratinoytes and placing the tissue sample in a cartridge that has a well plate, positioning the cartridge within a base unit that has a tissue disaggregator, activating the base unit to rotate the well plate to align wells in the well plate with the tissue sample and the tissue disaggregator, operate the tissue disaggregator to separate the tissue sample to form a regenerative epidermal suspension, and provide the regenerative epidermal suspension to a tissue site to enhance healing of the tissue site.

Abstract: One or more systems for automated preparation of a regenerative epidermal suspension comprises a base unit, a cartridge assembly containing a cup, and a tissue disaggregator. The system may also include related tools. The system executes one or more sequences wherein a first motor actuates the pestle against a tissue sample that is disposed along a screen within the cup while the tissue sample is in contact with, in sequence, an enzyme solution, a first buffer solution, and then a second buffer solution. To transition between fluidic contact stages or steps, the tissue disaggregator engages with and lifts the cup into a raised position within a processing area of the cartridge while a base plate motor rotates the appropriate well into alignment under the cup for each processing step. Once the sequence is complete, a user may draw up a regenerative epidermal suspension through an opening in the cartridge top cover.

Abstract: One or more methods for automated preparation of a regenerative epidermal suspension comprises a processor receiving an initiation signal that indicates that a cartridge that has a cover, a cup containing a tissue sample, and a well plate situated beneath the cover that has a first well containing an enzyme solution and a second well containing a buffer solution, has been placed on a sensor, executing a sequence that actuates a tissue disaggregator against the tissue sample in the cup positioned in the first well, raises the cup to an upper position, rotates the well plate to position the second well beneath the cup, lowers the cup to a position within the second well, and actuates the tissue disaggregator against the tissue sample in the second well.

Abstract: In some embodiments, a kit for preparing a cell suspension may include a device and a housing. The device may include a first label identifying a first reservoir of the device for use with a first portion of a tissue processing method and a second label identifying a second reservoir of the device for use with a second portion of the tissue processing method. The housing includes a first housing portion configured to store a first set of components associated with the first portion of the tissue processing method. The first housing portion includes a first visual indicator associated with the first label of the device. The second housing portion may be configured to store a second set of components associated with the second portion of the tissue processing method. The second housing portion may include a second visual indicator associated with the second label of the device.

Abstract: A schedule data structure includes a schedule of visits to a plurality of destinations over a plurality of weeks, the visits being associated with respective rider/vehicle identification (RVID) parameters corresponding to one of the plurality of riders/vehicles. The schedule may be optimized for multiple parameters but non-optimized for mirroring. The schedule data structure may be broken into a first part and a second part. A permutation of the first part may be determined and appended with the second part. A mirroring-improved schedule data structure may be determined in response to iterated permutation and appending.

Abstract: A method for mitigating physical risks associated with a user in an Internet of Things (IoT) environment includes monitoring multi-modal input data associated with at least one multi-modal interaction of the user with at least one IoT device, identifying a change in at least one cognitive ability of the user, estimating a cognitive ability index of the user, predicting at least one physical risk associated with a current user activity, determining at least one corrective action to avoid the at least one physical risk, and controlling at least one IoT device to notify or perform the at least one corrective action such that the at least one physical risk is mitigated.

Abstract: A system includes an input interface receiving conversation input from at least one system participant. A natural language processor operates on the conversational input. A sentiment processor operates on the pre-processed input using a sentiment classification model to predict sentiment, the sentiment processor predicting positive, neutral, and negative sentiment for the pre-processed input. An emotion processor receiving the pre-processed input from the natural language processor and a corresponding sentiment from the sentiment processor and operates to predict an emotion class and a strength of the emotion based on the corresponding sentiment. An output mechanism generates sentiment strength for the conversation input based on the emotion class and strength of the emotion.