Abstract: The illustrative embodiments provide for signature discourse transformation. An embodiment includes detecting a signature discourse of a user by analyzing the user's discourse using corpus linguistics. The embodiment also includes generating computing a collection of words distinct to the user. The embodiment also includes sensing, using tone analysis and a natural language process model, a tone of the collection of words distinct to the user in the signature discourse utterance. The embodiment also includes mapping a cartesian value of the collection of words distinct to the user. The embodiment also includes deriving a signature discourse transformation (SDT) model from the signature discourse utterances, the collection of words, the tone, and the cartesian value. The embodiment also includes transforming, using the signature discourse transformation, an original discourse by the user into an anonymized text.

Abstract: Provided herein are compounds and compositions useful in increasing PPAR? activity. The compounds and compositions provided herein are useful for the treatment of PPAR? related diseases (e.g., muscular diseases, vascular disease, demyelinating disease, and metabolic diseases).

Abstract: A method provides techniques for modifying privilege modes on an electronic device based on circumstantial triggers. The method includes identifying, by at least one processor of an electronic device, a context corresponding to a circumstantial trigger. The method includes transitioning the electronic device from operating according to a first privilege mode to operating according to a second privilege mode in response to detecting a start of the circumstantial trigger. The method includes transitioning the electronic device from operating according to the second privilege mode to operating according to the first privilege mode in response to detecting an end of the circumstantial trigger.

Abstract: The disclosure addresses problems associated with a systematic integration of multi-modal data for effective training, and handling of large volume of data because of high resolution of the multiple modalities. Embodiments herein provide a method and a system for a distributed training of a multi-modal data fusion transformer. Herein, a distributed training approach called a Distributed Architecture for Fusion-Transformer Training Acceleration (DAFTA) is proposed for processing large multimodal remote sensing data. DAFTA is enabled to handle any combination of remote sensing modalities. Additionally, similarity of feature space is leveraged to optimize the training process and to achieve the training with reduced data set which is equivalent to a complete data set. The proposed approach provides a systematic and efficient method for managing large sensing data and enables accurate and timely insights for various applications.

Abstract: High-voltage transistors that may be fabricated in a standard low-voltage process. Embodiments include integrated circuits that combine, in a unitary structure, an LDMOS FET device that includes one or more dummy polysilicon structures (DPS's) overlying a drift region and comparable in configuration to the FET gate, and interstitial implant resistance pockets (IRP) formed within the drift region between the gate and an adjacent DPS and between each pair of adjacent DPS's. The IRPs may be augmented with floating contacts to remove heat from the drift region and provide additional shielding of the drain contact from the nearest edge of the gate. The IRPs may be biased to modulate the conductivity of the drift region. The DPS's may be biased to modulate the conductivity of the drift region, and in such a way as to protect each DPS from excessive and potentially destructive voltages.

Abstract: Embodiments may include a computing device configured with a display device, a display processor configured to identify a region of interest and a remainder region in a frame for display by the display device, and a composer module, coupled to the display device and the display processor, and configured to apply a night mode color process to the remainder region and not to the region of interest, and to provide a composition of the remainder region and the region of interest to the display device for presentation.

Abstract: A method includes receiving an indication of a first coverage value corresponding to a desired overlap between a dataset of natural language phrases and a training dataset for training a machine learning model; determining a second coverage value corresponding to a measured overlap between the dataset of natural language phrases and the training dataset; determining a coverage delta value based on a comparison between the first coverage value and the second coverage value; modifying, based on the coverage delta value, the dataset of natural language phrases; and processing, utilizing a machine learning model including the modified dataset of natural language phrases, an input dataset including a set of input features. The machine learning model processes the input dataset based at least in part on the dataset of natural language phrases to generate an output dataset.

Abstract: A method, system, and circuit arrangement involve synthesizing a circuit design specified in a register transfer level (RTL) specification into a netlist. The RTL specification includes an assert statement that specifies a conditional expression involving one or more signals specified in the circuit design to be checked during simulation, and the synthesizing includes synthesizing the assert statement into netlist elements. The design tool places and routes the netlist into a circuit design layout and generates implementation data from the layout.

Abstract: Some embodiments provide retail product ordering systems comprising: a user computing device comprising an application executed by a device control circuit to: receive an audible utterance; controls a product identifier application interface to: apply a tokenizer model and obtain a set of individual search words; apply a series of featurizer models to the search words to generate features; and apply a classifier and extractor model based on the features and generate multiple requested product entities each comprising a respective sub-set of the position labeled product terms; wherein the device control circuit is further configured to access a purchase history database, confirm an accuracy of each of requested product entities relative to a purchase history, generate a listing of determined product identifiers corresponding to the confirmed set of the multiple requested product entities, and control a display system of the user computing device to render the listing of determined product identifiers.

Abstract: An method for load balancing session initiation protocol (SIP) registration requests using Cx health status includes monitoring, by an S-CSCF, at least one health parameter of a Cx interface associated with the S-CSCF. The method further includes determining, by the S-CSCF, a health category of the Cx interface associated with the S-CSCF based on the at least one health parameter. The method further includes sending, by the S-CSCF to an Interrogating Call Session Control Function (I-CSCF), an indication of the health category of the Cx interface associated with the S-CSCF. The method further includes load balancing, by the I-CSCF, SIP registration requests between the S-CSCF and at least one additional S-CSCF based on the received indication of the health category of the Cx interface associated with the S-CSCF.

Abstract: A system and method for adaptive encryption for SD-WAN includes identifying an encrypted conversational flow and determining whether a duration of the encrypted conversational flow exceeds a threshold. The method also includes selecting a header-less tunnel for the encrypted conversational flow when the duration is more than the threshold. The method further includes transmitting the encrypted conversational flow to an egress router over the selected header-less tunnel.

Abstract: A method of converting poly(ethylene terephthalate) to terephthalic acid includes a glycolysis step in which poly(ethylene terephthalate) is reacted with ethylene glycol in the presence of zinc acetate catalyst, a hydrolysis step in which the product of the glycolysis step is reacted with an alkali metal hydroxide to produce an alkali metal salt of terephthalic acid, and an acidification step in which the product of the hydrolysis step is acidified to yield a precipitate containing terephthalic acid. Each step of the method can be conducted at ambient or near-ambient pressure, and the method produces terephthalic acid in high yield and high purity.

Abstract: In one aspect, a method includes obtaining a first and second set of word embeddings from a first local machine learning (ML) model and a second local ML model. The method includes generating first and second latent space representations by processing the first and second sets of word embeddings using an artificial neural network (ANN) trained with the first and second local ML models, wherein the first and second latent space representations comprises a plurality of first and second contexts associated with the first and second set of word embeddings. The method includes correlating the first and second sets of word embeddings based on the plurality of first and second contexts. The method includes aggregating, based on the correlating, the first set of word embeddings and the second set of word embeddings into a global Machine Learning (ML) model of word embeddings.

Abstract: Tumor resection is commonly practiced to prevent the progression of cancer. However, there are post-surgery concerns including the formation of a void that can allow cancer cells to escape at the surgery site, which increases the risk of metastasis. To counter this challenge, an embodiment includes a polyurethane-based shape memory foam as a tissue void-filling device that can also release anti-cancer drugs. Such foams may activate at body temperature and become malleable. Such properties may enable the foam to be shaped to precisely seal the tissue void and then serve as a drug-eluting device. Based on the drug composition with poly vinyl alcohol (PVA), the drug release profile from the foam may be altered depending on the application.

Abstract: A gas turbine engine includes a compressor section comprising a compressor, a combustion section, and a turbine section arranged in serial flow order and defining a working gas flowpath, the compressor comprising an aft-most compressor stage; a spool drivingly coupled to the compressor; a stage of stator vanes located downstream of the aft-most compressor stage; and a stator case, the spool and the stator case together defining a rotor cavity in fluid communication with the working gas flowpath, the stage of stator vanes including a first stator vane defining a fluid passage, and the stator case defining a plenum and a supplemental airflow passage, the plenum in fluid communication with the fluid passage in the first stator vane, the supplemental airflow passage in fluid communication with the plenum and the rotor cavity for proving an airflow to the rotor cavity

Abstract: Embodiments generally relate to improving reliability of processing cache lines with metadata symbols encoded into parity symbols of codewords. The data and metadata of a cache line are encoded into codewords where each codeword is a number of (1) message symbols, each including message bits from data of the cache line, and (2) parity symbols, each including parity bits determined from the message symbols and a metadata symbol. For each codeword of the cache line, the plurality of message and parity symbols are rotated so that a location of each symbol of one codeword is different from other codewords of the cache line. The codewords of the cache line are then stored in memory as rotated. In this manner, the reliability is improved by rotating symbols of the codewords of the cache line, with metadata symbols encoded into parity of codewords, before storage in memory.

Abstract: Techniques for learning and using content type embeddings. The content type embeddings have the useful property that a distance in an embedding space between two content type embeddings corresponds to a semantic similarity between the two content types represented by the two content type embeddings. The closer the distance in the space, the more the two content types are semantically similar. The farther the distance in the space, the less the two content types are semantically similar. The learned content type embeddings can be used in a content suggestion system as machine learning features to improve content suggestions to end-users.

Abstract: In general, techniques are described for deploying and managing a virtual router having Data Plane Development Kit (DPDK) functionality to a computing device. In an example, a method includes creating, by a container orchestration platform executing on a computing device, a virtual router custom resource instance of a virtual router custom resource definition, the virtual router custom resource instance for a virtual router to execute on the computing device; based on configuration data for the virtual router custom resource instance, by the container orchestration platform, modifying the virtual router custom resource instance with the configuration data and deploying a first virtual computing instance comprising a virtual router configured according to the modified virtual router custom resource instance; and executing, by the computing device, the virtual router to process a packet.

Abstract: In various embodiments, a process for determining metrics including resource expenditures of a digital service includes discovering a plurality of configuration items of a computing infrastructure. The process includes identifying a subset of the plurality of configuration items utilized to provide a digital service, obtaining a plurality of resource expenditures respectively associated with at least a portion of the plurality of configuration items, and associating a subset of the plurality of resource expenditures with the subset of the plurality of configuration items. The process includes aggregating the subset of the plurality of resource expenditures to generate a metric of the digital service.

Abstract: Methods and apparatus for coating processing reactor component parts are provided herein. In some embodiments, a method for coating a part via atomic layer deposition includes: fastening a workpiece to be coated to an interior volume facing portion of a part coating reactor; and performing an ALD process on the fastened workpiece within the part coating reactor.