Abstract: Various exemplary devices, systems, and methods for trenches for delivering a service supply are provided. In general, a trench, which may also be referred to as a “trough,” is configured to be located underground and “house” pipes or other conduits therein through which a service supply is configured to be provided from a source of the service supply to a point of end use. Examples of a service supply include power, data, and fuel. In an exemplary implementation, the trench includes a plurality of interconnected support beams and is a composite trench formed of different materials.

Abstract: ABSTRACT: An instrument for processing droplets in a microfluidic system. The instrument captures a time sequence of images of a droplet as it passes through a channel in a microfluidic system. The instrument also processes each image of the sequence of images using a convolutional neural network to count a number of cells or other entities visible in each image the droplet. This involves processing the count of the number of cells or other entities visible in each image of the droplet to determine an estimated number of cells or other entities in the droplet. The instrument controls a microfluidic process performed on the droplet, e.g. droplet dispensing, responsive to the estimated number of cells or other entities in the droplet. The instrument uses the changing orientation and disposition of droplet contents in combination with machine learning to improve monoclonality assurance.

Abstract: A method of processing droplets in a microfluidic system. The method may comprise capturing a time sequence of images of a droplet as it passes through a channel in a microfluidic system. The method may further comprise processing each image of the sequence of images using a convolutional neural network to count a number of cells or other entities visible in each image the droplet. The method may further comprise processing the count of the number of cells or other entities visible in each image of the droplet to determine an estimated number of cells or other entities in the droplet. The method/system may further comprise controlling a microfluidic process performed on the droplet responsive to the estimated number of cells or other entities in the droplet. Implementations of the method use the changing orientation and disposition of droplet contents in combination with machine learning to improve monoclonality assurance.

Abstract: This invention generally relates to methods and systems for dispensing a droplet, in particular a picolitre volume droplet containing one or more entities.

Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric b

Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric b

Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric b

Abstract: We describe instruments, and cartridges therefor, for processing droplets of water in oil-in-water emulsions, the droplets containing biological entities such as cells. In one embodiment a method of such processing comprises: providing a plurality of the entities in a fluid: preparing a droplet from said fluid: determining whether said droplet contains one or more entities of said plurality of entities, or whether said droplet does not contain a said entity; sorting said droplet dependent on an outcome of said determination; and dispensing said sorted droplet into a reservoir, wherein said dispensing comprises: identifying said sorted droplet for dispensing; extracting said sorted droplet from a first fluidic flow path of said fluid by transferring said sorted droplet from said first fluidic flow path into a second fluidic flow path; and ejecting said sorted droplet from said second fluidic flow path into said reservoir by applying pressure to said second fluidic flow path.

Abstract: Provided herein, inter alia, are nucleic acid sequencing devices with one or more integrated heating elements to enable thermal control of fluidic solutions.

Abstract: A method of processing droplets in a microfluidic system. The method may comprise capturing a time sequence of images of a droplet as it passes through a channel in a microfluidic system. The method may further comprise processing each image of the sequence of images using a convolutional neural network to count a number of cells or other entities visible in each image the droplet. The method may further comprise processing the count of the number of cells or other entities visible in each image of the droplet to determine an estimated number of cells or other entities in the droplet. The method/system may further comprise controlling a microfluidic process performed on the droplet responsive to the estimated number of cells or other entities in the droplet. Implementations of the method use the changing orientation and disposition of droplet contents in combination with machine learning to improve monoclonality assurance.

Abstract: Instruments and cartridges for processing droplets in emulsions containing biological entities such as cells. A method of such processing comprises providing a plurality of the entities in a fluid; preparing a droplet from the fluid; determining whether the droplet contains one or more entities of said plurality of entities, or whether said droplet does not contain a said entity; sorting said droplet dependent on an outcome of the determination; and dispensing the sorted droplet into a reservoir. The dispensing may comprise identifying and extracting the sorted droplet from a first fluidic flow path of said fluid by transferring the sorted droplet from into a second fluidic flow path and then ejecting the sorted droplet into a reservoir by applying pressure to the second fluidic flow path. The droplet contents may be tracked so that the contents of an individual droplet can be sorted, selectively dispensed, and retrieved.

Abstract: Apparatus for permanent placement across an ostium of a left atrial appendage in a patient, which includes a filtering membrane configured to extend across the ostium of the left atrial appendage. The filtering membrane has a permeable structure which allows blood to flow through but substantially inhibits thrombus from passing therethrough. The apparatus also includes a support structure attached to the filtering membrane which retains the filtering membrane in position across the ostium of the left atrial appendage by permanently engaging a portion of the interior wall of the left atrial appendage. The support structure may be radially expandable from a first configuration to a second configuration which engages the ostium or the interior wall of the left atrial appendage. The filtering membrane may define an opening therethrough that is configured to expand from a first size which inhibits the passage of thrombus therethrough to a second size which allows an interventional device, e.g.

Abstract: This invention generally relates to methods and systems for dispensing a droplet, in particular a picolitre volume droplet containing one or more entities.

Abstract: A computer implemented method, computer program product, and system for managing execution of a workflow comprising a set of subworkflows, comprising optimizing the set of subworkflows using a deep neural network, wherein each subworkflow of the set of subworkflows has a set of tasks, wherein each task of the sets of tasks has a requirement of resources of a set of resources; wherein each task of the sets of tasks is enabled to be dependent on another task of the sets of tasks, training the deep neural network by: executing the set of subworkflows, collecting provenance data from the execution, and collecting monitoring data that represents the state of said set of resources, wherein the training causes the neural network to learn relationships between the states of said set of resources, the said sets of tasks, their parameters and the obtained performance, optimizing an allocation of resources of the set of resources to each task of the sets of tasks to ensure compliance with a user-defined quality metric b

Abstract: A new and distinct Cannabis plant named ‘DD-CT-BR5’ comprising numerous racemic inflorescence, particularly distinguished by its trichome density, dried flower yield and max THC content.

Abstract: A system, medium and method for dynamically constructing a service principal name is disclosed. A client request from a user to access a service is received at a network traffic management device which identifies an internet protocol (IP) address of a selected backend server to provide the requested service to the client. The network traffic management device identifies a hostname of the selected backend server based at least on the identified IP address and dynamically generates a service principal name (SPN) of the selected backend server based on the determined host name. The network traffic management device obtains a service ticket from a domain controller server using at least the generated SPN of the selected backend server. The network traffic management device uses the obtained service ticket along with the client request to provide the user access to the selected backend server for the client request.

Abstract: Apparatus for permanent placement across an ostium of a left atrial appendage in a patient, which includes a filtering membrane configured to extend across the ostium of the left atrial appendage. The filtering membrane has a permeable structure which allows blood to flow through but substantially inhibits thrombus from passing therethrough. The apparatus also includes a support structure attached to the filtering membrane which retains the filtering membrane in position across the ostium of the left atrial appendage by permanently engaging a portion of the interior wall of the left atrial appendage. The support structure may be radially expandable from a first configuration to a second configuration which engages the ostium or the interior wall of the left atrial appendage. The filtering membrane may define an opening therethrough that is configured to expand from a first size which inhibits the passage of thrombus therethrough to a second size which allows an interventional device, e.g.

Abstract: Instruments and cartridges for processing droplets in emulsions containing biological entities such as cells. A method of such processing comprises providing a plurality of the entities in a fluid; preparing a droplet from the fluid; determining whether the droplet contains one or more entities of said plurality of entities, or whether said droplet does not contain a said entity; sorting said droplet dependent on an outcome of the determination; and dispensing the sorted droplet into a reservoir. The dispensing may comprise identifying and extracting the sorted droplet from a first fluidic flow path of said fluid by transferring the sorted droplet from into a second fluidic flow path and then ejecting the sorted droplet into a reservoir by applying pressure to the second fluidic flow path. The droplet contents may be tracked so that the contents of an individual droplet can be sorted, selectively dispensed, and retrieved.

Abstract: A point-of-sale (POS) product enhancement system for the creation of enhanced software features in products at the POS. The POS product enhancement system comprising at least one register and contactless POS terminal operated by a retailer at a retail location and a central server operated by a central server company at a remote location. The register is configured for identifying a product, indicating one or more enhancements available for the product, and receiving indication of a selected enhancement from the customer. The contactless read/write terminal is in communication with the register and configured for receiving a PEA (product creation authorization) token for the selected enhancement, validating the PEA token and executing the enhancement of the product via an RFID tag coupled to the product, generating an audit record of the enhancement of the product, and sending the audit record from the contactless POS terminal to the central server.

Abstract: A new and distinct Cannabis plant named ‘DD-CT-BR5’, comprising numerous racemic inflorescence, particularly distinguished by its trichome density, dried flower yield and max THC content.