Abstract: Methods, systems, and computer storage media for providing a marketing budget allocation service associated with an optimization and simulation engine in a data analytics system. The marketing budget allocation service is a marketing expenditure optimization service that provides marketing budget allocation intelligence and visualizations based on data analysis and business information (e.g., prior hypothesis input data or scenario input data). The marketing budget allocation service is based on a service pipeline that includes a set of allocation intelligence data processors and operations that are used to generate output that is managed (e.g., visualized, presented, and revised) using a data analytics user interface. In operation, based on analyzing marketing budget allocation data—via an allocation service analytics computation model, marketing budget allocation results data are generated.

Abstract: A process for producing light olefins comprising thermal cracking. Hydrocracked streams are thermally cracked to produce light olefins. A pyrolysis gas stream is separated into a light pyrolysis gas stream and a heavy pyrolysis gas stream. A light pyrolysis gas stream is separated into a normal paraffins stream and a non-normal paraffins stream. A normal paraffins stream is thermally cracked. The integrated process may be employed to obtain olefin products of high value from a crude stream.

Abstract: In various embodiments, a process for assessing transactional graphs based on generator-discriminator networks includes using a generator network to generate a first set of transaction graph samples that are of a generated type, wherein the generator network is trained to optimize a predetermined objective function. The process includes sampling, from a collected dataset, a second set of transaction graph samples that are of a non-generated type; and providing the first set of transaction graph samples and the second set of transaction graph samples to a discriminator network, wherein the discriminator network is trained to classify a provided transaction graph sample as the generated type or the non-generated type. The process includes discriminating, by the discriminator network, each of at least a portion of the first set of transaction graph samples and the second set of transaction graph samples as the generated type or the non-generated type.

Abstract: The present disclosure provides methods for producing recombinant adeno-associated virus (rAAV) virions. The present disclosure provides compositions for producing rAAV virions.

Abstract: A method for classifying a printable image to be printed comprising: receiving, at a printing device, print data representing the printable image to be printed; generating an image of the printable image based on the print data; classifying the image to obtain a format associated with the printable image; printing the printable image according to the print data; and updating a counter associated with the format.

Abstract: A technique for selectively configuring a case of a handheld device to shield an antenna from receiving or transmitting wireless signals is disclosed. The technique includes moving a blocking element on the case between a first position and a second position. The blocking element is a physical structure that is rotatable, slidable, or removable to switch between the first position and the second position. In response to moving the blocking element to the first position, the blocking element blocks wireless signals received or transmitted by the antenna of the handheld device. In response to moving the blocking element to the second position, wireless signals can be received or transmitted through the case by the antenna.

Abstract: A tank system may be conventional and fixed, or mobile, such as a fracking fluid or other tank trailer. A drain port thereof is fitted with an adapter connecting a snorkel system to drain liquids from near the top of the liquid level in the tank. A snorkel head at the extreme distal end of a tube near the longitudinal center of the tank is suspended by a system of buoys. A flow field controller plate resists formation of vortices near the snorkel head, so it can operate as near the surface as possible, withdrawing the highest grade oil efficiently. At its exit, the proximal end of the tube drains oil through an inner conduit of an adapter at a penetration in the wall of the tank. The adapter forms an annulus around the inner conduit draining tank bottoms directly from the tank.

Abstract: Method and systems for driving an aiming assembly of a barcode imager are provided. An example method includes obtaining an operating mode of the barcode imager having an aiming assembly and, in response, determining a duty cycle of an aiming pulse of the aiming assembly. That duty cycle is determined as a percentage of a frame duration of an imager sensor and, further, such that simultaneous constraints are satisfied by the aiming pulse. The constraints include a simultaneous frame duration-independent, peak pulse optical power constraint and a frame duration-dependent heat dissipation constraint.

Abstract: The present disclosure relates to cantilevered imaging modality wearable optical systems that provide for optimal ergonomics coupled with vision enhancement and vision magnification. Methods of use, devices, and kits are also contemplated.

Abstract: The present disclosure relates to a multilayer composite that may include a first porous layer, and a first barrier layer overlying the first porous layer. The first barrier layer may include a polyaramid material, a polyimide material, or any combination thereof. The multilayer composite may have a flame resistance rating of at least about 180° C. and a 50% strain compression rating of not greater than about 600 kPa.

Abstract: A method for loudness equalization is provided that includes receiving input loudness data at an audio processing system. Converting gain data of the input loudness data to a linear scale at the audio processing system. Determining a reciprocal of a gain-linear loudness value as a function of the converted gain data using the audio processing system. Determining a compression ratio using the audio processing system. Performing temporal smoothing and look ahead processing using the audio processing system. Outputting gain data as a function of the temporal smoothing and look ahead processing using the audio processing system.

Abstract: Systems, methods, and non-transitory computer-readable media can access a plurality of schema-based encodings providing a structured representation of an environment captured by one or more sensors associated with a plurality of vehicles traveling through the environment. The plurality of schema-based encodings can be clustered into one or more clusters of schema-based encodings. At least one scenario associated with the environment can be determined based at least in part on the one or more clusters of schema-based encodings.

Abstract: The present invention relates to a computer-implemented method for generating a personalized coloring template for a user of a user monitoring device, comprising obtaining user data generated by monitoring the user’s emotional state via the user monitoring device; obtaining an emotion event generated by detecting an excited level of an emotion of the user based on the user data; and generating a coloring template based on the emotion event, thereby generating the personalized coloring template for the user. The present invention further relates to a computer system configured to execute the computer-implemented method for generating a personalized coloring template for a user.

Abstract: The present disclosure relates to immunogenic compositions comprising a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antigen, and a toll-like receptor 9 (TLR9) agonist, such as an oligonucleotide comprising an unmethylated cytidine-phospho-guanosine (CpG) motif. The immunogenic compositions are suitable for stimulating an immune response against a SARS-CoV-2 in an individual in need thereof.

Abstract: Methods, systems, and apparatuses related to a memory fault map for an accelerated neural network. An artificial neural network can be accelerated by operating memory outside of the memory's baseline operating parameters. Doing so, however, often increases the amount of faulty data locations in the memory. Through creation and use of the disclosed fault map, however, artificial neural networks can be trained more quickly and using less bandwidth, which reduces the neural networks' sensitivity to these additional faulty data locations. Hardening a neural network to these memory faults allows the neural network to operate effectively even when using memory outside of that memory's baseline operating parameters.

Abstract: Various embodiments illustrated herein disclose a container unloader device. The container unloader device comprises a platform to receive a container, wherein the container comprises a package. The container unloader device also comprises a front panel configured to move between a raised orientation and a lowered orientation, wherein when the front panel being is in the raised orientation, the front panel is orthogonal with respect to the platform, and when the front panel is in the lowered orientation, the front panel and the platform form a continuous surface. The platform can be pivoted from a first angle to a second angle, that is greater than the first angle. The package leans against the front panel the front panel is in the raised orientation. The package is released on a surface of a conveyor when the front panel is in the lowered orientation.

Abstract: A computer-based system for curating disparate data sets for a museum-level user experience includes at least one computer server and a relational database residing at least in part thereon. The relational database includes a plurality of types of data building blocks each representing a respective data set. Each of the types of data building blocks includes a plurality of data elements, and each of the data elements represents a type of data and having a plurality of data points. The data building blocks are linkable by shared data in their respective of the data elements, with at least one of the data elements appearing in more than one of the data building blocks. Software resides at least partially on at least one user computing device which includes a user interface enabling a user to interact with the relational database. Multiple building blocks can be combined to form a data feature.

Abstract: A method at a computing device acting as a switchboard between an electronic device and a device to be updated, the method including receiving, at the computing device, a connection request from the electronic device, the connection request including an identifier for the device to be updated; receiving, at the computing device, a connection request from the device to be updated; associating, at the computing device, the connection request from the electronic device and the connection request from the device to be updated; forwarding, at the computing device, a message from the device to be updated to the electronic device that update conditions have been met; forwarding, at the computing device, a message from the electronic device to the device to be updated to start an update process; and forwarding, at the computing device, update status information from the device to be updated to the electronic device.

Abstract: System and methods for gesture-based control are described. In some embodiments, a system may include a wearable device having a biopotential sensor and a wrist motion sensor. The biopotential sensor may be configured to output a first data stream indicating actions of a person's hand. The system may further include a second device configured to output a second data stream, which may also indicate the actions of the person's hand. The system may be configured to analyze the first and second data streams to train a machine learning interpreter to classify actions of a person's hand based on at least biopotential data.

Abstract: A computer-implemented method for incentivizing logistically convenient delivery orders is disclosed. The method includes monitoring, by a computing device, delivery orders of users which include a pick-up location, a drop-off location, an estimated time of pick-up, and an estimated time of drop-off. The method further includes determining, based on the monitoring of delivery orders, a trending drop-off location and a trending drop-off time. The method further includes determining, based on the trending drop-off location, the trending drop-off time, and a current location of the users, a subset of users. The method further includes sending to the subset of users an incentive to place a delivery order.