Abstract: In described examples, an integrated circuit includes an output terminal coupled to an input of a power amplifier, a feedback terminal coupled to an output of the power amplifier, a data terminal that receives a data stream, and a digital pre-distortion (DPD) circuit. The DPD circuit includes a capture circuit, a DPD estimator responsive to the data stream and the feedback terminal, and a DPD corrector responsive to the DPD estimator. The DPD estimator includes an instruction memory configured to store instructions and a vector arithmetic processing unit (APU) coupled to the instruction memory. The vector APU includes vector memories, vector arithmetic blocks, and an instruction decode block. The vector arithmetic blocks include vector addition blocks and vector multiplication blocks. The instruction decode block is configured to cause the vector APU to perform complex domain vector arithmetic on vectors stored in the vector memories in response to the instructions.

Abstract: This disclosure relates to method and system for generating tightest revolve envelope for a Boundary representation (B-rep) Computer-Aided Design (CAD) model. The method includes receiving a 2-dimensional (2D) point cloud within an XY-plane corresponding to each of a plurality of faces of the B-rep CAD model within an XYZ-space. The method further includes, for each of the plurality of faces, determining a concave hull shape for the 2D point cloud through a concave hull algorithm. The method further includes combining the concave hull shape corresponding to each of the plurality of faces of the B-rep CAD model through at least one of a Boolean operation and a stitching operation to obtain a tightest revolve profile of the B-rep CAD model. The method further includes revolving the tightest revolve profile about X-axis of the XYZ-space to obtain a tightest revolve envelope corresponding to the B-rep CAD model.

Abstract: The present invention relates to novel anti-PD1 and anti-LAG3 antibody molecules. The invention also relates to nucleic acids encoding such antibody molecules; to methods for preparing such antibody molecules; to host cells expressing or capable of expressing such antibody molecules; to compositions comprising such antibody molecules; and to uses of such antibody molecules or such compositions, in particular for therapeutic purposes in the field of cancer diseases.

Abstract: The present disclosure concerns open-end carbon nanotubes assembled as a microelectrode array in electrode sets/micro-electrode sets (ES/micro-ES). The ES/micro-ES includes three electrodes that are made of highly densified multi-walled carbon nanotubes fibers (HD-CNTfs) sectioned into rods embedded in an inert polymer film with exposed open ends of CNTs at the electrode-electrolyte interface. The ES/micro-ES provide miniature electrochemical sensing devices in which all electrodes are based on carbon nanomaterials. The combination of dimensions and orientation provides for highly sensitive electrochemical determination (picomolar) of different electroactive analytes in different electrolyte mediums, where even a single drop of desired analyte solution will be enough for electrochemical characterization.

Abstract: Methods for centralized access control for cloud relational database management system resources are performed by systems and devices. The methods utilize a central policy storage, managed externally to database servers, which stores external policies for access to internal database resources at up to fine granularity. Database servers in the processing system each receive external access policies that correspond to users of the system by push or pull operations from the central policy storage, and store the external access policies in a cache of the database servers for databases. For resource access, access conditions are determined via policy engines of database servers based on an external access policy in the cache that corresponds to a user, responsive to a resource access request from a device of the user specifying the internal resource. Data associated with the resource is provided to the user based on the access condition being met.

Abstract: A system includes a shift register to store data samples, where the shift register includes a cell under test (CUT), a left guard cell, a right guard cell, a left window, and a right window. The system includes two sets of comparators to compare incoming data samples with data samples in the left window and the right window to compute ranks of the incoming data samples. The system includes a sorted index array to store a rank of the data samples in the shift register. The system includes a selector to select a Kth smallest index from the sorted index array and its corresponding data sample from the shift register. The system includes a target comparator, where the first comparator input receives a data sample from the CUT and the second comparator input receives a Kth smallest data sample, and the comparator output indicates a CFAR target detection.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by determining an anomalous event code subset using a pairwise interaction score determination machine learning model.

Abstract: The disclosure relates to compounds specific for IL23A and BAFF, compositions comprising the compounds, and methods of use thereof. Nucleic acids, cells, and methods of production related to the compounds and compositions are also disclosed.

Abstract: An accelerator for bitonic sorting includes a plurality of compare-exchange circuits and a first-in, first-out (FIFO) buffer associated with each of the compare-exchange circuits. An output of each FIFO buffer is a FIFO value. The compare-exchange circuits are configured to, in a first mode, store a previous value from a previous compare-exchange circuit or a memory to its associated FIFO buffer and pass a FIFO value from its associated FIFO buffer to a subsequent compare-exchange circuit or the memory; in a second mode, compare the previous value to the FIFO value, store the greater value to its associated FIFO buffer, and pass the lesser value to the subsequent compare-exchange circuit or the memory; and in a third mode, compare the previous value to the FIFO value, store the lesser value to its associated FIFO buffer, and pass the greater value to the subsequent compare-exchange circuit or the memory.

Abstract: Disclosed are antibodies and fragments thereof that target the A-domain of Neuropilin-1 (Nrp1A). Also disclosed are methods of using the anti-Nrp1A antibodies for the treatment of various diseases or disorders.

Abstract: The method of covalently bonding carbon nanotubes to substrates is provided. The method comprises functionalizing a substrate and each open-end of a plurality of open-ended carbon nanotubes, embedding each of the plurality of open-ended carbon nanotubes within respective polymers, aligning, orthogonally, the plurality of open-ended carbon nanotubes relative to the substrate, and applying pressure on each of the plurality of open-ended carbon nanotubes relative to the substrate for enabling covalent bonding of each of the plurality of open-ended carbon nanotubes to the substrate.

Abstract: The invention relates to method and system for classifying faces of a Boundary Representation (B-Rep) model using Artificial Intelligence (AI). The method includes extracting topological information corresponding to each of a plurality of data points of a B-Rep model of a product; determining a set of parameters based on the topological information corresponding to each of the plurality of data points; transforming the set of parameters corresponding to each of the plurality of data points of the B-Rep model into a tabular format to obtain a parametric data table; and assigning each of the plurality of faces of the B-Rep model a category from a plurality of categories based on the parametric data table using an AI model.

Abstract: Systems and methods for personalizing messages in a conversational chatbot are disclosed. An example method may include receiving clickstream event data corresponding to click events by users of an application, generating featurized clickstream data based at least in part on the received clickstream event data, determining one or more predicted intentions for a first user based at least in part on the featurized clickstream data, and generating one or more personalized messages for the first user based at least in part on the one or more predicted user intentions.

Abstract: This disclosure relates to method and system for generating tightest revolve envelope for a Boundary representation (B-rep) Computer-Aided Design (CAD) model. The method includes receiving a 2-dimensional (2D) point cloud within an XY-plane corresponding to each of a plurality of faces of the B-rep CAD model within an XYZ-space. The method further includes, for each of the plurality of faces, determining a concave hull shape for the 2D point cloud through a concave hull algorithm. The method further includes combining the concave hull shape corresponding to each of the plurality of faces of the B-rep CAD model through at least one of a Boolean operation and a stitching operation to obtain a tightest revolve profile of the B-rep CAD model. The method further includes revolving the tightest revolve profile about X-axis of the XYZ-space to obtain a tightest revolve envelope corresponding to the B-rep CAD model.

Abstract: The present invention relates to novel B7H6/CD3 binding proteins. The invention also relates to nucleic acids encoding such proteins; to methods for preparing such proteins; to host cells expressing or capable of expressing such proteins; to compositions comprising such proteins; and to uses of such proteins or such compositions, in particular for therapeutic purposes in the field of cancer diseases.

Abstract: The present invention relates to novel anti-PD1 and anti-LAG3 antibody molecules. The invention also relates to nucleic acids encoding such antibody molecules; to methods for preparing such antibody molecules; to host cells expressing or capable of expressing such antibody molecules; to compositions comprising such antibody molecules; and to uses of such antibody molecules or such compositions, in particular for therapeutic purposes in the field of cancer diseases.

Abstract: Various embodiments of the teachings herein include a computer-implemented method for enhancing reliability of bootstrapping for information extraction, IE.

Abstract: A method for managing operations on data presented on a display is presented. The method includes detecting data presented on the display of the electronic device; determining reading parameters associated with the data; performing a plurality of operations based on the reading parameters, wherein the reading parameters comprises at least one of a complete screen reading time taken by a user to completely read the data presented on the display of the electronic device, a partial screen reading time taken by the user to read at least one portion of the data, a scroll distance per one scrolling action on the display, or a data reading time which is a time taken to completely read the data presented on the display.

Abstract: The disclosure relates to method and system for identifying a weldment feature. The method may include extracting a plurality of wire bodies from a sheet-metal model, and identifying from the plurality of wire bodies, a set of wire bodies associated with a face of the sheet-metal model. The method may further include generating one or more potential weldment features from the set of wire-bodies. Each of the one or more potential weldment features may be analyzed with respect to the face of the sheet-metal model. The method may further include identifying from the one or more potential weldment features, at least one related pair of weldment features. Weldment features of each related pair may include one of a contacting relationship and crossing relationship with each other.

Abstract: Various embodiments of the teachings herein include a computer-implemented method of fine-tuning Natural Language Processing (NLP) models. Some examples include: providing a training data set including a multitude of training text documents; providing a NLP model including a Neural Network (NN) based Topic Model (TM) having scalable TM parameters and a parallel large-scale pre-trained Language Model (LM) having scalable LM parameters; and fine-tuning the NLP model by jointly training the NN-based TM and the parallel large-scale pre-trained LM using a projected vector comprising a combination and projection of a document topic proportion generated by the NN-based TM based on the scalable TM parameters from an input training text document of the multitude of training text documents, and of a contextualized document representation generated by the large-scale pre-trained LM based on the scalable LM parameters from the same input training text document.