Abstract: A blender system is disclosed having a blender base including housing walls defining an interior cavity. The blender system further includes a routing post disposed within the interior cavity of the blender base. The routing post serves to direct a wire along a predetermined path within the blender base.

Abstract: A system for measuring velocities and densities of a particle-free flow of molecules is provided. In various embodiments of the disclosure, the system may include a laser configured to form a two-dimensional light sheet for interrogating a flow of molecules at a measurement region with the two-dimensional light sheet. The system may include a first camera coupled with a first filter and a second camera coupled to a second filter. The cameras can be oriented toward the measurement region at a first angle and a second angle, respectively, with respect to a direction of the two-dimensional light sheet. The cameras are configured to capture images of scattered light from the measurement region through the filters. The two-dimensional spatial distribution of density and velocity values of the flow of molecules can be determined based on the images acquired via the first camera and the second camera.

Abstract: Persistent storage may contain: (i) a database table containing entries, (ii) a definition of a communication endpoint of a remote system, and (iii) outbound flow processing. One or more processors may be configured to: detect a state change associated with a local entry in the database table; read, from the database table, a set of data representing the local entry; transform, using the outbound flow processing, the set of data into a format receivable by the remote system; create, for the set of data, a correlation record that contains a local correlation identifier, wherein the correlation record specifies the local entry; transmit, to the remote system, the set of data as transformed and the local correlation identifier; receive, from the remote system and for the set of data, a remote correlation identifier; add, to the correlation record, the remote correlation identifier; and write, to a correlation table, the correlation record.

Abstract: A method of coating an automotive part for an electric drive unit is provided. The method comprises providing a part comprising a body having an outer surface and introducing the part in an aqueous coating solution comprising sodium metabisulfite and citric acid to form residual oxides on the outer surface defining a sample-water interface. The method further comprises emitting ultrasonic waves in the coating solution to generate acoustic cavitation activity at the sample-water interface and continuously form oxygen and hydrogen species. The citric acid arranged to activate the outer surface to allow for the reaction with the oxygen and hydrogen species forming iron hydroxide. The sodium metabisulfite arranged to react with the iron hydroxide generating iron oxysulfide such that the iron oxysulfide reacts with the oxygen and hydrogen species to produce iron oxide and iron sulfide on the outer surface defining a black oxide coating.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing multi-modal inputs using language models. In particular, the inputs include an image, and the image is encoded by an image encoder neural network to generate a sequence of image embeddings representing the image. The sequence of image embeddings is provided as at least part of an input sequence to that is processed by a language model neural network.

Abstract: Systems and methods for delivering packages using mobile robots. In some examples, a system includes a central controller configured for fulfilling package delivery orders. The system includes package delivery robots. Each package delivery robot is configured for navigating to a location of a package in the warehouse and loading the package onto the package delivery robot. Each package delivery robot is configured for navigating to a package destination by travelling on a path through one or more enclosed passageways and unloading the package at the package destination.

Abstract: The present disclosure provides antibodies and antigen-binding fragments thereof that specifically bind to human transthyretin (TTR). The anti-TTR antibodies or antigen-binding fragments thereof are useful, for example, in detecting TTR and in treating TTR amyloidosis in a subject.

Abstract: A grip gauge is configured to measure grip force from a single hand of a user. The grip gauge comprises a shell and a force sensor housed within the shell. The force sensor is configured to measure grip forces applied to the shell. The grip gauge also includes a control unit housed within the shell and communicatively connected to the force sensor, and a wireless transmitter communicatively connected to the control unit and configured to transmit measured grip forces to one or more external devices.

Abstract: Honeycomb bodies and methods for treating a honeycomb bodies that include a skin surrounding a matrix of cells, the skin and the matrix of cells comprising a porous inorganic material. Methods include applying a buffer solution to only the porous inorganic material of the skin and coating the porous inorganic material of the skin with an oxide slurry. The oxide slurry includes an oxide or a precursor of the oxide configured to increase the isostatic strength of the honeycomb body. After treatment, the honeycomb body may be dried.

Abstract: Anti-alpha-synuclein antibodies and antigen-binding fragments thereof (e.g., scFvs) are provided.

Abstract: A method and system for inspecting a honeycomb body. The method includes capturing a first image. Instances of at least one feature in the first image that correlates to a structural characteristic of the honeycomb body are detected. One or more detected instances of the at least one feature identified in the first image are abstracted by creating a graphical representation of each of the one or more detected instances of the at least one feature. A second image is generated by augmenting the first image with the graphical representation in place of or in addition to each of the one or more detected instances of the at least one feature identified in the first image. The second image is analyzed using a machine learning algorithm to classify the honeycomb body with respect to the structural characteristic of the honeycomb body.

Abstract: Embodiments described herein provide an integrated holographic reconstruction platform that enables a user to perform three-dimensional visualization of a phenomenon by reconstructing holograms using a combination of normalization and propagation algorithms, which yields better results with significantly less demanding processing time and computing resources. Specifically, the integrated holographic reconstruction platform may be implemented as an all-in-one computer software that includes software components of digital holographic reconstruction, de-twinning and optical distortion removal via a user-friendly graphical interface.

Abstract: A system for characterizing a specimen is disclosed. In one embodiment, the system includes a characterization sub-system configured to acquire one or more images a specimen, and a controller communicatively coupled to the characterization sub-system. The controller may be configured to: receive from the characterization sub-system one or more training images of one or more defects of a training specimen; generate one or more augmented images of the one or more defects of the training specimen; generate a machine learning classifier based on the one or more augmented images of the one or more defects of the training specimen; receive from the characterization sub-system one or more target images of one or more target features of a target specimen; and determine one or more defects of the one or more target features with the machine learning classifier.

Abstract: Embodiments described herein provide an integrated holographic reconstruction platform that enables a user to perform three-dimensional visualization of a phenomenon by reconstructing holograms using a combination of normalization and propagation algorithms, which yields better results with significantly less demanding processing time and computing resources. Specifically, the integrated holographic reconstruction platform may be implemented as an all-in-one computer software that includes software components of digital holographic reconstruction, de-twining and optical distortion removal via a user-friendly graphical interface.

Abstract: Anti-alpha-synuclein antibodies and antigen-binding fragments thereof (e.g., scFvs) are provided. Also provided are methods of using the same in therapy.

Abstract: Methods and systems for improved detection and classification of defects of interest (DOI) is realized based on values of one or more automatically generated attributes derived from images of a candidate defect. Automatically generated attributes are determined by iteratively training, reducing, and retraining a deep learning model. The deep learning model relates optical images of candidate defects to a known classification of those defects. After model reduction, attributes of the reduced model are identified which strongly relate the optical images of candidate defects to the known classification of the defects. The reduced model is subsequently employed to generate values of the identified attributes associated with images of candidate defects having unknown classification. In another aspect, a statistical classifier is employed to classify defects based on automatically generated attributes and attributes identified manually.

Abstract: The present disclosure provides antibodies and antigen-binding fragments thereof that specifically bind to human Triggering Receptor Expressed on Myeloid Cells 2 (TREM2). The anti-TREM2 antibodies or antigen-binding fragments thereof are useful, for example, in detecting TREM2 and in treating neurodegenerative diseases.