Abstract: An adapter for connecting one or more storage containers with a syringe is described. The adapter includes a first port that provide a connection with a first container volume, a second port that provides a connection with a second container volume, a third port that provides a connection to a syringe. The adapter further includes a mixing channel extending from a first end in fluid communication with the third port to a second end. The mixing channel includes a tortuous path along at least a portion of its length. The mixing channel enables two constituents of a pharmaceutical complex to be mixed through the mixing channel to form the pharmaceutical complex. Also disclosed is a system including such an adapter, a method of mixing two constituents of a pharmaceutical complex via such an adapter and a method of manufacturing such an adapter.

Abstract: Techniques are disclosed for using a machine learning model to identify and present a ranked array of interface elements representing entities. The location of individual interface elements within the ranked array of interface elements is based on a level of match between entity attributes and a set of requirements established by a user. The machine learning model may be further trained by receiving a user input that changes a location of a particular user interface element within a graphical user interface displaying the ranked array. Upon receiving the user input, the trained machine learning model may update training data to include an updated match score for the particular user interface element that reflects the new location.

Abstract: A method for generating resolved data is disclosed. The method receives captured data in a first signal space from sensors at a resource site and determines a signal characteristic associated with a first signal component, a second signal component, or a noise component within the captured data. The method transforms the captured data from the first signal space to a second signal space using a first transform operator. The method further extracts a first signal component from the transformed captured data in the second signal space. The extracted first signal component may be transformed back to the first signal space to generate a first extracted data which may be subtracted from the captured data. The method reconstructs the first extracted data to generate a first reconstructed data included in the resolved data. The resolved data includes a minimal amount of a noise component associated with the captured data.

Abstract: Aspects of the subject technology may provide time-synchronized image frames from multiple cameras to various system and/or application processes running on an electronic device. In one or more implementations, a frame identifier may be determined for each image frame from each camera based on a system pulse associated with the capture of the image frame. By generating frame identifiers based for images from multiple cameras based on a centralized source such as the system pulses, subsequent processes can immediately identify images from multiple cameras having the same frame identifier for co-processing of those images.

Abstract: Methods and systems for tracing forwards of an electronic message. One method includes storing, for each of a plurality of forwarded messages sent via an electronic messaging application, a record in a data store, each record including a link to an original message for the forwarded message and calculating, with an electronic processor, a statistic for an electronic message based on records stored in the data store, wherein the statistic includes at least one selected from a group consisting of a number of forwards of the electronic message, a number of recipients of the electronic message including all forwards of the electronic message, and a number of requests to revoke the electronic message. The statistic is then output for display to a user via at least one user interface.

Abstract: A method for transforming seismic images includes receiving input data. The input data includes an original upward-downward diffusion (UDD) seismic image and an original multi-dimensional deconvolution (MDD) seismic image. The method also includes training a generator and a discriminator based upon the input data to produce a trained generator and a trained discriminator.

Abstract: A system and method for designing a seismic survey including selecting a seismic survey grid as a basis for a seismic survey design and looping through the steps of generating off-the-grid locations by imposing spatial or temporal constraints on on-the-grid locations, mapping the off-the-grid locations from a physical domain to a pre-selected domain by applying a multidimensional transform to the off-the-grid locations, mapping the pre-selected domain to a rank-revealing domain using a pre-selected operator, applying a pre-selected process to minimize a rank of the off-the-grid locations in the pre-selected domain, and updating the seismic survey design based on which of the off-the-grid locations has the minimum rank until a pre-selected threshold is met indicating an optimal seismic survey design. The system and method include acquiring seismic data using the optimal seismic survey design, and enabling performing a wellsite action based at least on the seismic data.

Abstract: System and method for designing dithers having a pre-determined distribution within a dithers range, wherein the dithers range is chosen for the seismic survey, wherein a lower boundary of the dithers range is 4 seconds or +2 seconds dithers distribution relative to nominal shotting times of sources of seismic waves in the seismic survey, and wherein an upper boundary of the dithers range is a largest value compatible with constraints of the seismic survey.

Abstract: A method for designing a seismic survey including (a) selecting a seismic survey grid as a basis for a seismic survey design, (b) generating off-the-grid locations by imposing spatial/temporal constraints on on-the-grid locations of the seismic survey grid, (c) mapping the off-the-grid locations from a physical domain to a pre-selected domain by applying a multidimensional transform to the off-the-grid locations, (d) mapping the pre-selected domain to a rank-revealing domain using a pre-selected operator, (e) applying a pre-selected process to minimize a rank of the off-the-grid locations in the pre-selected domain, (f) updating the seismic survey design based on which of the off-the-grid locations has the minimum rank, (g) repeating steps (b)-(f) for a number of iterations until a pre-selected threshold is met indicating an optimal seismic survey design, and (h) acquiring seismic data using the optimal seismic survey design.

Abstract: An integrated circuit includes logic circuits and a network-on-chip in a region of the integrated circuit. The network-on-chip is configurable to transmit at least two of user data, configuration data, and emulation data to the logic circuits. The network-on-chip is configurable to transmit the user data to and from the logic circuits during a user mode of the integrated circuit. The network-on-chip is configurable to transmit the configuration data to the logic circuits for configuring the logic circuits during a configuration mode of the integrated circuit. The network-on-chip is configurable to transmit the emulation data to and from the logic circuits during an emulation mode of the integrated circuit.

Abstract: Disclosed is a method comprising: receiving captured seismic data and generating first velocity and first pressure data therefrom; transforming, from a first data domain to a second data domain, the first velocity and first pressure data and thereby generate second velocity and second pressure data; mapping wavenumber gather data from the second data domain to a third data domain; determining envelope ratio scaling data and threshold value data using the second velocity and second pressure data; generating, threshold envelope data using a thresholding operator associated with the threshold value data; using coefficient data associated with the threshold envelope data to estimate vertical component data; transforming, from the third data domain to the first data domain, the vertical component data to generate temporal-spatial data; and generating, based on the temporal-spatial data, noise component data comprised in the captured seismic data.

Abstract: System and method operable to estimate directional gradients of a seismic wavefield from seismic data from a seismic survey. The operations include receiving the seismic data describing the seismic wavefield, estimating the directional gradients, from the seismic data, of the seismic wavefield along one or more directions, using the seismic wavefield and the directional gradients to perform an action, creating interpolated data using the seismic wavefield and the directional gradients for interpolation, identifying a subset of the interpolated data based on pre-selected criteria, determining residual data based on a difference between the subset and the seismic wavefield, estimating the directional gradients from the residual data, and displaying the directional gradients.

Abstract: A method to perform a seismic survey using one or more source vessels includes enabling shooting from at least two seismic sources at pre-selected time intervals or pre-selected locations. The at least two seismic sources are on the one or more source vessels, and the at least two seismic sources include source technologies that differ from each other. The method also includes measuring wavefields received from the at least two seismic sources. The method also includes associating energy from the wavefields generated by each source with different seismic traces. The method also includes obtaining data from the different seismic traces that are equivalent to different datasets acquired in different surveys using the source technologies that differ from each other.

Abstract: Systems and methods are provided for performing multidimensional deconvolution. An exemplary method includes: receiving, using at least one processor, a first data associated with waves propagating in a seismic structure; selecting, using the at least one processor, a first transform to be applied to the first data; determining, using the least one processor, whether the first transform is a sparsity or rank revealing transform to optimize sparsity or rank minimization; if the first transform is the sparsity or rank transform, applying, using the at least one processor, the first transform to the first data to produce a second data; calculating, using the at least one processor and the second data, at least one Green's function associated with the first data; and predicting, using the at least one processor and the at least one Green's function, material properties throughout the seismic structure to facilitate exploratory and/or production operations.

Abstract: An integrated circuit includes a central region having logic circuits and networks-on-chip. Each of the networks-on-chip traverses the central region. The integrated circuit also includes an interface region having input and output buffer circuits. The networks-on-chip are configurable to exchange data between the logic circuits and the input and output buffer circuits. One of the networks-on-chip is configurable to place each source that receives the data from one of the logic circuits at one of multiple locations in the one of the networks-on-chip. The one of the networks-on-chip is also configurable to place each sink that provides the data to one of the logic circuits at one of the multiple locations in the one of the networks-on-chip. The input and output buffer circuits are coupled to exchange the data with an external device.

Abstract: A method for generating high-quality seismic data includes receiving a first dataset. The method also includes selecting a first processing technique based upon the first dataset. The method also includes producing first processed data from the first dataset using the first processing technique. The method also includes selecting a second processing technique based upon the first dataset. The second processing technique is different than the first processing technique. The method also includes producing second processed data from the first dataset using the second processing technique. The method also includes training a machine learning model to transform the first processed data into the second processed data.

Abstract: A method can include receiving seismic survey data of a subsurface environment from a seismic survey that includes a source arrangement of sources that is spatially denser than a receiver arrangement of receivers; processing the seismic survey data using the principle of reciprocity for performing interpolation across the receivers to generate processed seismic survey data; and generating an image of at least a portion of the subsurface environment using the processed seismic survey data.

Abstract: Techniques are disclosed for training a machine learning model to identify and rank entities relative to a set of requirements. The trained machine learning model may present an array of interface elements (e.g., icons) in a graphical user interface (GUI), where the interface elements represent corresponding entities. These interface elements are arranged in the GUI based on their corresponding ranks. The ranks of entities, and therefore the locations of corresponding interface elements are based, at least in part, on a degree of match between values of a subset of entity attributes and a corresponding subset of the set of requirements. The machine learning model may be further trained by receiving a user input that changes a location of a particular user interface element within the graphical user interface displaying the ranked user interface elements.

Abstract: Techniques for standardizing text data are disclosed. The system may identify, within a content item, a target phrase that is to be standardized. A subset of characters of a verb in the target phrase may be selected for comparison to a list of nouns. The subset of characters may be compared to a list of nouns identified in a data corpus. A noun in the list of nouns may be added to a candidate subset of nouns to replace the verb if the noun includes a sequence of characters that matches the subset of characters. A particular noun to replace the verb may be selected from the candidate subset of nouns based on a frequency associated with the particular noun occurring within the data corpus. The system may convert the target phrase to generate a standard phrase at least by replacing the verb with the particular noun.

Abstract: A method for processing seismic data includes receiving blended seismic data from one or more seismic sources. The method also includes applying a transform to the blended seismic data to decompose the blended seismic data into different parameters. The method also includes applying one or more independent sparse inversions to the different parameters. The method also includes defining a set of prior information techniques to be used within the one or more independent sparse inversions. The method also includes determining an energy part of the blended seismic data that is greater than a first predetermined threshold based at least partially upon the multiple independent sparse inversions, the set of prior information techniques, or both. The method also includes removing the energy part from the blended seismic data to produce modified seismic data.