Abstract: Exemplary substrate processing system faceplates may include a plate that is characterized by a first surface and a second surface opposite the first surface. The second surface may define a plurality of recesses that extend through a portion of a thickness of the plate. The plate may define a plurality of apertures through the thickness of the plate. Each aperture may extend through a bottom surface of one recess of the plurality of recesses. Each recess may have a greater diameter than the aperture extending through the bottom surface of the recess. The faceplate may include a plurality of shape-memory actuators. Each shape-memory actuator may be seated within a respective one of the plurality of recesses. Each shape-memory actuator may define an actuator aperture. A diameter of the actuator aperture each shape memory actuator may be variable.

Abstract: This invention, in one aspect, relates generally to methods for optically modulating pain in animals and human. The invention provides method for the use of opsin for modulating pain, wherein optical stimulation of specific neurons and/or other cells in targeted regions of the nervous system sensitized by opsin, using genetic technologies, leads to significant reduction of pain perception to noxious stimuli. Further, the invention provides a method for inhibition of pain without use of exogenous opsin, wherein visual stimulation of eye (having endogenous opsin) is carried out. The invention also includes device(s) for controlled modulation neural and/or cellular activities in brain, eye and peripheral nervous system in order to treat different forms of chronic pain.

Abstract: Exemplary systems, methods and computer-accessible medium according to the exemplary embodiments of the present disclosure are provided for determining bias in at least one large language model (LLMs). Thus, exemplary systems, methods, and computer-accessible medium can receive a plurality of baseline resumes, create or generate a plurality of flagged resumes from the plurality of baseline resumes, create or generate a resume corpus from the plurality of baseline resumes and the plurality of flagged resumes, input the resume corpus into the LLM, receive an LLM classification output for the resume corpus, and measure a LLM bias based on the classification output.

Abstract: Implementations disclosed describe, among other things, a systems and techniques for perform efficient inspection of a semiconductor manufacturing sample. The techniques include collecting optical inspection data for training sample(s) that have a plurality of defects. The techniques further include generating, using the optical inspection data, a training data set that includes descriptions, images, and ground truth classifications for the defects. The techniques further include using the training data set to train a plurality of machine learning (ML) classifiers to generate predicted classifications for the defects in the training sample(s). The techniques further include selecting, using the predicted classifications and the ground truth classifications, one or more ML classifiers that meet one or more accuracy criteria, and using the selected ML classifier(s) to classify defects in the semiconductor manufacturing sample.

Abstract: Embodiments herein describe a circuit for detecting a single event upset (SEU). The circuit includes a latch including an output node, a first parity node, and a second parity node and correction circuitry configured to correct a single event upset (SEU) at the output node using the first and second parity nodes.

Abstract: Aspects of the disclosure are directed to interrupt handling. In accordance with one aspect, disclosed includes a first processing engine; a second processing engine; and a timeout monitoring block coupled to the first processing engine and the second processing engine, wherein the timeout monitoring block is configured to reaffinitize an interrupt affined to the first processing engine to the second processing engine. Also disclosed for interrupt handling includes placing a first interrupt into a pending state; initiating a handling of a second interrupt; initiating a programmed timeout value; triggering a timeout state of the first interrupt when an interrupt timer reaches the programmed timeout value; and entering a reaffinitization state of the first interrupt after the timeout state is triggered.

Abstract: The current document is directed to an IaC cloud-infrastructure-management service or system that automatically generates schema for cloud-infrastructure-specification-and-configuration files used by integrated development environments (“IDEs”), associated with the IaC cloud-infrastructure-management service or system, for autocompletion and validation. The IaC cloud-infrastructure management service or system accesses cloud-provider plug-ins to collect information and then encodes collected information regarding resource types, resource-type-associated functions and function arguments, cloud-infrastructure-specification-and-configuration data-file syntax, and other relevant information into cloud-infrastructure-specification-and-configuration data-file schemas. The schemas are input to integrated IDEs to control autocompletion and cloud-infrastructure-specification-and-configuration data-file validation.

Abstract: A method of operating a power inverter for an electric machine includes selecting an inverter switching technique; determining a frequency range for inverter switching; determining a direct current (DC) voltage range for inverter switching; determining an optimal switching map including an inverter switching technique and frequency selection for each value of torque-speed on a torque-speed curve; and controlling switches included in the power inverter using the optimal switching map.

Abstract: A shock control cable assembly for a vehicle includes a routing guide including a channel configured to receive conductors of a main cable that connects to a shock control module, conductors of a first shock cable that connects to a first shock, and conductors of a second shock cable that connect to a second shock. At least one of the conductors of the main cable is connected to each of the first shock cable and the second shock cable within the channel. The routing guide further including a first flange having a first opening to receive a first fastener to secure the routing guide to a first member of a rear suspension of the vehicle. Potting material is injected into the channel to encapsulate the conductors of the main cable, the first shock cable, and the second shock cable to protect the conductors from environmental conditions.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiver may receive, at a packet data convergence protocol (PDCP) layer of the receiver, PDCP traffic including a plurality of packets associated with a bearer. The receiver may select, for each packet of the plurality of packets, between immediate delivery or ordered delivery based at least in part on one or more packet parameters associated with the packet. The receiver may deliver the plurality of packets in accordance with the selection between immediate or ordered delivery for each packet of the plurality of packets. Numerous other aspects are described.

Abstract: A recirculation system for recirculating intestinal content within an intestinal tract of a subject including a recirculation pathway extending from a distal portion of the intestinal tract to a proximal portion of the intestinal tract forming a recirculation loop for recirculating the intestinal content through the proximal portion of the intestinal tract to increase nutrient absorption from the intestinal content. An externally controllable valve is disposed in the recirculation pathway for controlling flow of intestinal content through the recirculation pathway.

Abstract: Systems and methods for visual object detection using explicit negatives. To train an artificial intelligence model with explicit negatives, a data sampler can sample input data from a language-based dataset to select images with annotations. A negative generation engine can generate explicit negatives representing sentences that include contradicting words that are semantically related to the annotations by using an external knowledgebase. A model trainer can minimize the classification loss of positive labels while decreasing the confidence score of the explicit negatives for the artificial intelligence model. The negative generation engine can be optimized to generate next explicit negatives. The artificial intelligence model can backpropagate using positive labels and the next explicit negatives to generate supervisory loss corresponding to the net explicit negatives. The artificial intelligence model can detect objects from an input image.

Abstract: An interface device distributes data from a plurality of input data streams to a smaller number first data streams, and periodically inserts a set of alignment markers (AMs) into the first data streams. After using the AMs, the interface device removes the AMs and reinserts the AMs at particular positions. A forward error correction (FEC) encoder encodes data corresponding to the first data stream to generate FEC codewords and distributes data from the FEC codewords to multiple outputs streams. Within the output streams, the AMs are located at FEC codeword boundaries and bits of a first AM, among the set of AMs, are spread across multiple outputs stream. A single output data stream is generated based on the multiple output streams of the FEC encoder.

Abstract: A technique monitors input/output (I/O) and storage ownership takeover activity patterns to detect degraded performance of a highly available and fault tolerant application executing in a multi-site environment. Multiple instances of the application execute in different containers or pods running on virtual machines (VMs) of a compute layer within a containerized (e.g., Kubernetes) clustering configuration that extends across clusters of the sites. A storage layer of the clusters provides shared storage to the pods running on the VMs across the multiple sites. One of the sites is configured as an active storage site configured to receive and service I/O requests from the compute layer. A single instance of the application is active at a time and configured as a “compute owner” of the shared storage to issue the I/O requests to the shared storage.

Abstract: The invention relates to a novel and efficient saflufenacil synthesis and the preparation of novel key intermediates in the process of Saflufenacil synthesis. The process includes preparing compounds of the Formula I wherein R1i is a hydrogen, C1-12 straight or branched alkyl, which may be substituted with 1 or more substituents, a C3-10 cycloalkyl, which may be substituted with 1 or more substituents, a C6-10 aromatic ring which may be substituted with 1 or more substituents, a C5-10 heteroaromatic ring, which may be substituted with 1 or more substituents; R2 is a hydrogen or methyl.

Abstract: Embodiments determine wear. One such embodiment obtains, in memory associated with a processor, a finite element mesh representing a first object. For a given node of the obtained mesh, a wear variable is associated and linked to contact constraints associated with the node. A simulation of contact is performed, over movement increments, between the first object and a second object to determine wear at the node. Wear distance is iteratively determined for a given increment using the mesh, the associated variable, and the constraints. A position of the node in the mesh is iteratively updated based on the determined wear distance for the given increment, until the wear distance for each of the increments is determined. The wear at the node is determined based on the determined wear distance for each of the increments. An indication of the determined wear is output.

Abstract: Methods and systems are described herein for a system that enables individual users or entities to assess high-level concepts expressed in natural language by identifying quantitative evaluation criteria for evaluating the concept. For example, a query evaluation system is provided herein that receives a user's query including natural language, e.g., indicative of a higher-level concept or idea to be deployed. The system may identify quantitative evaluation criteria for evaluating the concept, perform back-testing (e.g., to see how a particular strategy would have performed in the past) and allow the user to create a specific investment portfolio that tracks the original intent of the user. The concept may be tested, and its performance evaluated before deploying it to a user portfolio.

Abstract: Disclosed herein are immune activating conjugates with immunogenic carrier proteins coupled to hapten and immune cell receptor agonist-containing polymers. The polymers promote uptake by B cells, enabling intracellular immune cell receptor activation and formation of long-lived antibody-secreting cells. In some aspects, disclosed herein in is a conjugate comprising an immunogenic carrier protein coupled to a polymer, wherein the polymer includes: i) a first monomeric unit comprising a first monomer coupled to a hapten, and ii) a second monomeric unit comprising a second monomer coupled to an immune cell receptor agonist.

Abstract: Methods, systems, devices, and computer-readable media used by a cloud data management system for collecting data from accounts hosted by a cloud-based data storage system on different cloud platforms or in different cloud regions of a cloud platform. Collection of data in the multi-cloud platform and/or multi-cloud region environments may be facilitated by the on-demand creation of one or more data collection accounts. Based on the collected data, one or more recommendations, notifications, or alerts associated with usage of the data storage system may be generated.

Abstract: Systems, computer program products, and methods are described herein for extraction of historical data in workflow automation platform architectures. The present disclosure is configured to introduce an advanced approach to historical data extraction from workflow automation platform architectures. At its core, it employs parallel processing, utilizing a multi-threaded asynchronous tool specifically designed within a workflow automation platform architecture framework. This ensures high performance and scalability, enabling easy extraction of large data volumes within designated system maintenance windows without impinging on system performance.