Abstract: Systems, methods, and computer-readable media for coordinating processing of data by multiple networked computing resources include monitoring data associated with a plurality of networked computing resources, and coordinating the routing of data processing segments to the networked computing resources.

Abstract: The disclosure provides modified biotin-binding proteins which can be expressed in soluble form in high yield in bacteria. Also provided are fusion proteins comprising the modified biotin-binding protein and an antigen. The disclosure further provides non-hemolytic variants of alpha-hemolysin from S. aureus and fusion protein comprising non-hemolytic variant of alpha-hemolysin and a biotin-binding domains. Immunogenic compositions comprising the proteins are also disclosed and use of such immunogenic compositions for inducing an immune response or for vaccinating a subject are also disclosed.

Abstract: Technologies for the prevention and/or treatment of Salmonella infections.

Abstract: Disclosed herein is a battery system including a housing, a battery terminal disposed on a first side of the housing of the battery module, and a cover disposed on the housing, wherein the cover comprises a battery terminal cover extending from the cover. The battery terminal cover is configured to adjust between a first position and a second position. The battery terminal cover, in the first position, is configured to at least partially shroud the battery terminal, and in the second position, is configured to expose the battery terminal.

Abstract: An image generation system enables user input during the process of training a generative model to influence the model's ability to generate new images with desired visual features. A source generative model for a source domain is fine-tuned using training images in a target domain to provide an adapted generative model for the target domain. Interpretable factors are determined for the source generative model and the adapted generative model. A user interface is provided that enables a user to select one or more interpretable factors. The user-selected interpretable factor(s) are used to generate a user-adapted generative model, for instance, by using a loss function based on the user-selected interpretable factor(s). The user-adapted generative model can be used to create new images in the target domain.

Abstract: A method for measuring overlay between an interest level and a reference level of a wafer includes applying a magnetic field to a wafer, detecting at least one residual magnetic field emitted from at least one registration marker of a first set of registration markers within the wafer, responsive to the detected one or more residual magnetic fields, determining a location of the at least one registration marker of the first set registration markers, determining a location of at least one registration marker of a second set of registration markers, and responsive to the respective determined locations of the at least one registration marker of the first set of registration markers and the at least one registration marker of the second set of registration markers, calculating a positional offset between an interest level of the wafer and a reference level of the wafer. Related methods and systems are also disclosed.

Abstract: Method for nanoparticle-mediated deposition of radiation (NMDR) and targeted radiation therapies using a biodegradable and bioabsorbable iron oxide nanoparticle with a biocompatible coating that is effective to overcome various extra- and intra-cellular barriers and selectively accumulate in solid and metastatic tumors to improve the energy transfer of conventional radiotherapy

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images depicting photorealistic scenes utilizing a digital image collaging neural network. For example, the disclosed systems utilize a digital image collaging neural network having a particular architecture for disentangling generation of scene layouts and pixel colors for different regions of a digital image. In some cases, the disclosed systems break down the process of generating a collage digital into generating images representing different regions such as a background and a foreground to be collaged into a final result. For example, utilizing the digital image collaging neural network, the disclosed systems determine scene layouts and pixel colors for both foreground digital images and background digital images to ultimately collage the foreground and background together into a collage digital image depicting a real-world scene.

Abstract: An optical assembly (200) including an encapsulated multilayer optical film (250). Methods of making and using such optical assemblies also are disclosed.

Abstract: The Internet can be configured to provide communications to a large number of Internet-of-Things (IoT) devices. Devices can be designed to address the need for network layers, from central servers, through gateways, down to edge devices, to grow unhindered, to discover and make accessible connected resources, and to support the ability to hide and compartmentalize connected resources. Network protocols can be part of the fabric supporting human accessible services that operate regardless of location, time, or space. Innovations can include service delivery and associated infrastructure, such as hardware and software. Services may be provided in accordance with specified Quality of Service (QoS) terms. The use of IoT devices and networks can be included in a heterogeneous network of connectivity including wired and wireless technologies.

Abstract: A computer-implemented method of training an auxiliary machine learning model to predict a set of new parameters of a primary machine learning model, wherein the primary model is configured to transform from an observed subset of a set of real-world features to a predicted version of the set of real-world features.

Abstract: A battery chiller for a vehicle includes a housing having a first inlet, a second inlet opposing the first inlet, a first outlet having a toroid structure surrounding the second inlet, and a second outlet having a toroid structure surrounding the first inlet. A lattice is disposed within the housing defining a first plurality of channels and a second plurality of channels. The lattice defines a first inlet duct in fluid communication with the first inlet and the first channels, and a second inlet duct in fluid communication with the second inlet and the second channels. A first flow path is defined from the first inlet, through the first inlet duct, through the first plurality of channels and to the first outlet, and a second flow path is defined from the second inlet, through the second inlet duct, through the second plurality of channels and to the second outlet.

Abstract: Bone cutting guides and bone cutting guide assemblies are disclosed that are useful for preparing a bone in a joint space, such as those in mid-foot region joints, to prepare the cartilage end of the bone for receiving cartilage repairing implants such as hydrogel implants.

Abstract: A chuck for gripping a workpiece includes: a chuck body; a jaw connected to the chuck body for constrained movement relative to the chuck body along a jaw path in jaw-closing and jaw-opening directions; an actuator body connected to the chuck body for constrained movement relative to the chuck body along an actuator path; and a slider body connected to the chuck body for constrained movement relative to the chuck body along a slider body path. The slider body is connected to the jaw for constrained movement relative to the jaw along a slider-body-to-jaw path. The slider body is connected to the actuator body for constrained movement relative to the actuator body along a slider-body-to-actuator-body path.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for combining digital images. In particular, in one or more embodiments, the disclosed systems combine latent codes of a source digital image and a target digital image utilizing a blending network to determine a combined latent encoding and generate a combined digital image from the combined latent encoding utilizing a generative neural network. In some embodiments, the disclosed systems determine an intersection face mask between the source digital image and the combined digital image utilizing a face segmentation network and combine the source digital image and the combined digital image utilizing the intersection face mask to generate a blended digital image.

Abstract: A conveyor controlling apparatus for controlling a conveyor in accordance with environment parameters with respect to the conveyor includes: a capturing device for capturing an environmental image related to the conveyor; an image-analysing module for determining, based on the environmental image captured by the capturing device, whether an operational condition of the conveyor is satisfied; and a conveyor-controlling module for controlling the conveyor based on a result of the determination carried out by the image-analysing module, wherein if the image-analysing module determines that the operational condition is not satisfied, then the conveyor-controlling module stops the conveyor.

Abstract: Technologies for the prevention and/or treatment of pneumococcal infections.

Abstract: Methods, systems, and computer storage media for providing generative artificial intelligence (AI) code lookup management using a generative AI code lookup engine in an item listing system. A generative AI code lookup engine supports generative AI code lookup management based on an automotive code lookup platform including code lookup training operations, code lookup engine operations, and code lookup interfaces associated with a generative AI model and an automotive domain for improved personalization and presentation of code lookup data and interfaces. In operation, a request associated with a diagnosis code of a vehicle is accessed. Based on the request, code lookup data associated with a generative AI model is accessed. The generative AI model is associated with code lookup training operations and a code lookup data structure that support code lookup guidance in the item listing system. The code lookup data is communicated for display via an item listing system client.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine learning to generate a sequence of transition frames for a gap in a clipped digital video. For example, the disclosed system receives a clipped digital video that includes a pre-cut frame prior to a gap in the clipped digital video and a post-cut frame following the gap in the clipped digital video. Moreover, the disclosed system utilizes a natural motion sequence model to generates a sequence of transition keypoint maps between the pre-cut frame and the post-cut frame. Furthermore, using a generative neural network, the disclosed system generates a sequence of transition frames for the gap in the clipped digital video from the sequence of transition keypoint maps.

Abstract: A sorbent composition with improved acid gas reactivity comprising calcium hydroxide particles is provided. In the calcium hydroxide composition, the amount of time it takes the calcium hydroxide particles to neutralize in citric acid of a mass greater than 10 times the mass of the calcium hydroxide particles is less than 10 seconds; about 90% of the calcium hydroxide particles are less than or equal to about 10 microns; and the calcium hydroxide particles have a BET surface area of about 18 m2/g or greater.