Abstract: One or more example embodiments of the present invention relates to a computer-implemented method for assessing a component quality of an electron emitter as a function of an ascertained degree of similarity with at least one further electron emitter.

Abstract: A thermal interface material, an integrated circuit formed therewith, and a method of application thereof are provided. The thermal interface material includes 5% to 30% by volume of a polymer component and at least 70% by volume of liquid metal droplets, all based on total volume of the thermal interface material. The polymer component has a first polymer having a molecular weight in a range of 400 g/mol to 400,000 g/mol. The liquid metal droplets are dispersed throughout the polymer component.

Abstract: Systems and methods for automatically navigating a medical image acquisition device are provided. 1) An initial image depicting a current position of a medical image acquisition device and 2) at least one of a target image depicting a target position of the medical image acquisition device or text-based instructions for navigating to the target position of the medical image acquisition device are received. Features are extracted from the at least one of the target image or the text-based instructions respectively using at least one of a machine learning based image encoder or a machine learning based text encoder. One or more actions for navigating the medical image acquisition device from the current position towards the target position are determined according to a learned policy based on the initial image and the extracted features. The one or more actions are output.

Abstract: Present disclosure provides a method and system for package movement visibility in warehouse operations. The method includes identifying, by the package management system (1000), an object entering AOE and moving in a predetermined direction and recording, by the package management system (1000), image frame of the object. The method also includes determining, by the package management system (1000), that the object in the image frame is a package and determining, by the package management system (1000), a label on the package from the image frame. Further, the method also includes determining, by the package management system (1000), a match to the label in a cloud platform (400) and sending, by the package management system (1000), tracking details associated with the package based on the match to the label in the cloud platform (400), to a client device in real-time.

Abstract: A dishwasher including a tub at least partially defining a treating chamber with an access opening. A rotating spray arm located within the tub. The rotating spray arm including a body, a fluid distribution manifold formed within the body and having a set of fluid nozzles provided along the body and opening to the treating chamber, and a chemistry distribution manifold separate from the fluid distribution manifold and being formed within the body. The chemistry distribution manifold having a set of chemistry nozzles provided along the body and opening to the treating chamber. The fluid distribution manifold supplies water to the set of fluid nozzles and the chemistry distribution manifold supplies treating chemistry to the set of chemistry nozzles.

Abstract: Systems and methods for estimating optimal gantry orientation and/or scanning parameters using image(s) from one or several cameras for a CT scan of a patient. Images are acquired of a patient. An optimal gantry tilt is estimated that keeps the patient's eye lenses outside a range of a beam during the scan. The CT scan is performed using the optimal gantry tilt. A scout scan is not used.

Abstract: Systems and methods for language-guided navigation assistance for medical image acquisition are provided. An initial image depicting a view of an image acquisition device at an initial position and a target image depicting a view of a target position are received. A trajectory between the initial position and the target position is determined based on the initial image and the target image. Text-based descriptions are generated for each step of the trajectory using a machine learning based vision-language model. One or more keyframes are selected from the trajectory based on the text-based descriptions. A particular natural language instruction for navigating the image acquisition device to a particular keyframe of the one or more keyframes to are generated. The natural language instructions are output.

Abstract: Systems and methods for managing patient diagnostic and therapy workflows in a hospital and/or radiology centers. A radiology recommendation agent is trained using reinforcement learning and a simulation environment in which the agent takes actions and receives feedback from the simulation environment based on how its action affect the simulation environment over time.

Abstract: A priority based prefetch by a memory controller is disclosed. A prefetch of data of a low priority master is suspended when a data request associated with a high priority master indicated by a master identification is to be performed. The suspension includes storing a saved state of the prefetch, performing the prefetch of data of the high priority master, and resuming the prefetch of data of the low priority master when the prefetch of data of the high priority master is completed.

Abstract: A column includes a stack assembly including stacked electrochemical cells and interconnects, a ceramic frame surrounding the stack assembly, a first spring assembly located inside of the ceramic frame over the stack assembly and configured to apply a load to the stack assembly, and including a first rod plate and a first ceramic spring, a second spring assembly located inside of the ceramic frame between first spring assembly and the stack assembly and configured to apply a load to the stack assembly, and including a second rod plate and a second ceramic spring, and a first dome plate located between the first ceramic spring and the second ceramic spring.

Abstract: A column includes a stack assembly including stacked electrochemical cells and interconnects, a ceramic frame surrounding the stack assembly, a first spring assembly located inside of the ceramic frame over the stack assembly and configured to apply a load to the stack assembly, and including a first rod plate and a first ceramic spring, a second spring assembly located inside of the ceramic frame between first spring assembly and the stack assembly and configured to apply a load to the stack assembly, and including a second rod plate and a second ceramic spring, and a first dome plate located between the first ceramic spring and the second ceramic spring.

Abstract: Thermal interface materials systems, assemblies formed therefrom, and methods of manufacture thereof are provided. A system includes a thermal interface material (TIM) layer and a first adhesive layer disposed over the TIM layer. The TIM layer includes a first polymer component and liquid metal droplets dispersed through the first polymer component. The TIM layer exhibits a storage modulus of 104 Pa to 107 Pa.

Abstract: A method of determining the accuracy of a test performed by a diagnostic laboratory system includes obtaining one or more first measurements during a first operation of the test performed by the diagnostic laboratory system. One or more second measurements are obtained during a second operation of the test performed by the diagnostic laboratory system. The first measurements and the second measurements are collectively analyzed using a trained model that calculates an uncertainty score for the test based on learned correlations between the first operation and the second operation. The uncertainty score may be used to determine whether the test results can be relied upon or whether the test should be rerun. Other methods and systems are disclosed.

Abstract: Systems and methods for performing one or more medical analysis tasks are provided. 1) patient data comprising mutational data of a patient and 2) an initial PPI (protein-protein interaction) graph are received. A patient-specific PPI graph for the patient is generated based on the mutational data and the initial PPI graph. One or more medical analysis tasks for the patient are performed using a machine learning based network based on the patient data and the patient-specific PPI graph. Results of the medical analysis task are output.

Abstract: A method of characterizing a specimen to be analyzed in an automated diagnostic analysis system provides a segmentation determination and/or an HILN (hemolysis, icterus, lipemia, normal) determination of the specimen while providing characterization training updates based on the accuracy and/or confidence in the determinations. The method includes identifying an incorrect or low confidence segmentation or HILN determination, forwarding the incorrect or low confidence determination from the HILN network to a database, and providing one or more training images to the HILN network based on the incorrect or low confidence determination. Quality check modules and systems configured to carry out the method are also described, as are other aspects.

Abstract: Systems and methods for automatically navigating a medical image acquisition device are provided. 1) An initial image depicting a current position of a medical image acquisition device and 2) at least one of a target image depicting a target position of the medical image acquisition device or text-based instructions for navigating to the target position of the medical image acquisition device are received. Features are extracted from the at least one of the target image or the text-based instructions respectively using at least one of a machine learning based image encoder or a machine learning based text encoder. The machine learning based image encoder and the machine learning based text encoder are trained to generate corresponding features for training target images and training text-based instructions for same target positions.

Abstract: A method of determining the accuracy of a test performed by a diagnostic laboratory system includes obtaining one or more first measurements during a first operation of the test performed by the diagnostic laboratory system. One or more second measurements are obtained during a second operation of the test performed by the diagnostic laboratory system. The first measurements and the second measurements are collectively analyzed using a trained model that calculates an uncertainty score for the test based on learned correlations between the first operation and the second operation. The uncertainty score may be used to determine whether the test results can be relied upon or whether the test should be rerun. Other methods and systems are disclosed.

Abstract: A treating chemistry distribution system for a plurality of treating chemistry devices. The treating chemistry distribution system has a treating chemistry hub, a treating chemistry manifold, and a water line. The treating chemistry hub has a set of treating chemistry modules.

Abstract: Systems and methods for performing a medical imaging analysis task are provided. One or more input medical images of a patient are received. The one or more input medical images are encoded into embeddings using a machine learning based encoder network. A medical imaging analysis task is performed based on the embeddings. Results of the medical imaging analysis task are output.

Abstract: A method of training a sample container identification network of a diagnostic laboratory system includes obtaining a plurality of data subsets, wherein each data subset is smaller than a full training data set used to train the sample container identification network and includes a plurality of images of one or more sample containers. The sample container identification network is trained on each of the plurality of data subsets to generate a plurality of trained sample container identification networks. Each of the trained sample container identification networks are testing using testing data that includes test images of sample containers, wherein the testing includes identifying the sample containers in the test images. A core data set is selected from one of the plurality of data subsets based on the testing. the core data set for use in training a deployed sample container identification network. Other methods and systems are disclosed.