Abstract: The invention relates to particular burners, and e.g. to a burner comprising a central main fuel lance, a pilot fuel conduit, a main oxidant conduit, an auxiliary oxidant conduit, and optionally a secondary fuel conduit, which are arranged in a particular and advantageous way to surround each other at least in their downstream sections. The invention further relates to furnaces including the burners and methods of operating the burners. Among others, the burners of the present invention allow a particularly advantageous way of including a pilot burner as an integral part of the main burner to ignite liquid fuel flame in a cold furnace. If required, the pilot flame can assist in extending the flammability limit or operating range of the liquid fuel burner.

Abstract: The invention relates to particular burners, particularly to non-premixed or partially-premixed dual-fue burners with flexibility to change the heat input from the two fuels. Accordingly, said burners may be used in applications that needs operation of a burner in both single-fuel, and/or duel-fuel mode depending on furnace operation needs. The invention further relates to furnaces including the burners and methods of operating the burners.

Abstract: A battery module includes features to optimize cooling while providing electrical isolation and cell gas-venting channels. The battery module can include the integration of a heatsink in order to improve thermal performance. Thermally conductive pads can be provided to create an electrically isolated interface between a plurality of series-connected battery-cell lead plates, at different potentials, and the heatsink. Optimization, by stacking thin and thick thermally conductive pads, allows for creation of gas-venting channels along the positive cell terminal locations. In some arrangements, a plurality of fluid paths are disposed between the inlet and the outlet of the battery module to provide heat convective airflow through the battery module.

Abstract: In one or more embodiments, a command is repeatedly input a predetermined number of times into a machine learning model to generate a plurality of different natural language (NL) descriptions. The plurality of different NL descriptions are input into the machine learning model to generate a plurality of different check commands. A plurality of similarity metrics are determined by comparing each check command from the plurality of different check commands to the command. A check command from the plurality of different check commands that is most similar to the command is identified based on the plurality of similarity metrics. An NL description from the plurality of different NL descriptions is caused to be displayed, the NL description previously input into the machine learning model to generate the check command.

Abstract: A memory device can include a first portion having a memory array comprising a plurality of memory cells and a first via chain segment for performing a test operation. The memory device can include a second portion comprising processing circuitry and a second via chain segment for performing the test operation. The memory device can also include an interconnect coupling the first portion and the second portion, the interconnect comprising a third via chain segment, wherein the first via chain segment, second via chain segment, and third via chain segment can be selected independently.

Abstract: In some embodiments, a processor can receive an input string associated with a potentially malicious artifact and convert each character in the input string into a vector of values to define a character matrix. The processor can apply a convolution matrix to a first window of the character matrix to define a first subscore, apply the convolution matrix to a second window of the character matrix to define a second subscore and combine the first subscore and the second subscore to define a score for the convolution matrix. The processor can provide the score for the convolution matrix as an input to a machine learning threat model, identify the potentially malicious artifact as malicious based on an output of the machine learning threat model, and perform a remedial action on the potentially malicious artifact based on identifying the potentially malicious artifact as malicious.

Abstract: A method for inserting a wire. An image of a connector is generated using a camera system connected to an end effector. The end effector is at a connector pose facing the connector. A region in the image encompassing the connector is selected. An initial mask is created using the image and the region. The initial mask comprises a background region and a connector region. A segmentation mask is created using the initial mask and the image, wherein the segmentation mask includes edges for the connector. Thresholding is applied to the segmentation mask to recover pixels for the connector and generate a final mask. The final mask is used to insert the wire into the connector.

Abstract: The present invention relates to methods and compositions for treating autoimmune or inflammatory disease characterised by an aberrant or inappropriate immune response to one or more of Ro60 protein; MPO protein; and Smith protein.

Abstract: A spray system includes a spray device with a housing enclosing an electrostatic power supply that generates an electrostatic charging voltage and a nozzle assembly including a liquid tip that receives a spray liquid and an air stream and emits an atomized spray and an electrode coupled to receive the electrostatic charging voltage and configured to inductively charge the spray. A base unit includes a liquid source that supplies the spray liquid, an air source that supplies the air stream and a power source that supplies power for the electrostatic power supply. A tether couples the spray device to the base unit. The tether includes a liquid supply line coupling the liquid source to the liquid tip, an air supply line coupling the air source to the liquid tip, and a power supply line coupling the power source to the electrostatic power supply.

Abstract: In some embodiments, a processor receives natural language data for performing an identified cybersecurity task. The processor can provide the natural language data to a first machine learning (ML) model. The first ML model can automatically infer a template query based on the natural language data. The processor can receive user input indicating a finalized query and to provide the finalized query as input to a system configured to perform the identified computational task. The processor can provide the finalized query as a reference phrase to a second ML model, the second ML model configured to generate a set of natural language phrases similar to the reference phrase. The processor can generate supplemental training data using the set of natural language phrases similar to the reference phrase to augment training data used to improve performance of the first ML model and/or the second ML model.

Abstract: Systems, devices, and methods for performing peripheral vascular imaging are provided. A continuous wave, non-contact, near-infrared optical scanner (NIROS) can utilize at least one near-infrared (NIR) light. The diffuse reflected NIR signal(s) can be obtained from the surface of the tissue of the mammal being imaged. The signal(s) can be optically filtered and can be detected by an NIR-sensitive image sensor. A graphical user interface (GUI) can be used to automate the acquisition of the spatio-temporal diffuse reflected maps from the NIROS device.

Abstract: Systems, methods, and other embodiments described herein relate to improving vehicle control in relation to curved roadways. In one embodiment, a method includes, in response to determining a route for a vehicle that is represented using points for navigating to a destination, identifying one or more curves along the route according to proximities of the points. The method includes generating difficulty indicators for respective ones of segments that include the one or more curves. The method includes providing the difficulty indicators as the vehicle encounters the respective ones of the segments that include the one or more curves.

Abstract: A rule generator can automatically generate a machine-learning-powered detection system capable of recognizing a new malicious object or family of malicious objects and deployable as a text-based, pastable detection rule. The text may be quickly distributed and integrated into existing cybersecurity infrastructure, for example, if the cybersecurity infrastructure supports a rules engine. After initial distribution, the identity may be refined, updated, and replaced. This allows for rapid development and distribution of an initial level of protection, and for updating and improvement over time.

Abstract: Apparatus and methods describe herein, for example, a process that can include receiving a potentially malicious file, and dividing the potentially malicious file into a set of byte windows. The process can include calculating at least one attribute associated with each byte window from the set of byte windows for the potentially malicious file. In such an instance, the at least one attribute is not dependent on an order of bytes in the potentially malicious file. The process can further include identifying a probability that the potentially malicious file is malicious, based at least in part on the at least one attribute and a trained threat model.

Abstract: Methods for adhering a substrate onto a surface of a ceramic component are provided. The method may include applying a first bond coating onto an attachment surface of the substrate, applying a first alumina coating onto the first bond coating on the attachment surface of the substrate, applying a second bond coating onto an outer surface of the ceramic component, applying a second alumina coating onto the second bond coating on the attachment surface of the substrate, applying a cement onto at least one of the first alumina coating and the second alumina coating, and adhering the attachment surface of the substrate onto the outer surface of the ceramic component. Connections between a metal substrate and a ceramic matrix composite component are also provided.

Abstract: Embodiments disclosed include methods and apparatus for detecting a reputation of infrastructure associated with potentially malicious content. In some embodiments, an apparatus includes a memory and a processor. The processor is configured to identify an Internet Protocol (IP) address associated with potentially malicious content and define each row of a matrix by applying a different subnet mask from a plurality of subnet masks to a binary representation of the IP address to define that row of the matrix. The processor is further configured to provide the matrix as an input to a machine learning model, and receive, from the machine learning model, a score associated with a maliciousness of the IP address.