Abstract: Provided herein are novel compounds (e.g., Formula X or Y), pharmaceutical compositions, and methods of using the same. The compounds herein can typically inhibit PLpro activities. The compounds herein can also be used for treating a variety of diseases or disorders, such as viral infection caused by a coronavirus such as SARS-CoV-2.

Abstract: A method of making an integrated circuit includes growing a semiconductor material layer over a substrate. The method includes doping the semiconductor material layer to define a first source structure comprising a first doped well having a first dopant type, and a drain structure comprising a second doped well having the first dopant type. The method includes etching the semiconductor material layer to define an opening. The method includes depositing a dielectric material into the opening to define a first deep trench isolation (DTI), wherein the first DTI extends through the first doped well. The method includes etching the first DTI to define a contact opening. The method includes filling the contact opening with a thermally conductive material to define a first thermal contact, wherein the thermal contact is in direct contact with the substrate; and the first DTI is between the thermal contact and the first doped well.

Abstract: The techniques disclosed herein provide intelligent display of auditory world experiences. Specialized AI models are configured to display integrated visualizations for different aspects of the auditory signals that may be communicated during an event, such as a meeting, chat session, etc. For instance, a system can use a sentiment recognition model to identify specific characteristics of a speech input, such as volume or tone, provided by a participant. The system can also use a speech recognition model to identify keywords that can be used to distinguish portions of a transcript that are displayed. The system can also utilize an audio recognition model that is configured to analyze non-speech audio sounds for the purposes of identifying non-speech events. The system can then integrate the user interface attributes, distinguished portions of the transcript, and visual indicators describing the non-speech events.

Abstract: Systems and methods are provided for smart audio segmentation using look-ahead based acousto-linguistic features. For example, systems and methods are provided for obtaining audio, processing the audio, identifying a potential segmentation boundary within the audio, and determining whether to generate a segment break at the potential segmentation boundary. One or more look-ahead words occurring after the potential segmentation boundary are identified, wherein an acoustic segmentation score and a language segmentation score associated with the potential segmentation boundary and the one or more look-ahead words are generated. Systems then either refrain from generating a segment break at the potential segmentation boundary or generate the segment break at the potential segmentation boundary based on the acoustic and/or language segmentation score at least meeting or exceeding a segmentation score threshold.

Abstract: A target service management method is provided. The method is applicable to services such as a voice call, a video call, video livestreaming, Cloud AR/VR, and tactile Internet. The method includes: An access network device determines key quality indicator KQI information of a target service during transmission of the target service on a target channel; and manages, based on the KQI information and a target service quality-of-service requirement corresponding to the KQI information, the target service. In this way, the access network device can manage the target service based on the quality of service of the target service and can improve effective utilization of an air interface resource of the access network device in transmitting the target service, and can further increase a capacity of users whose quality of service satisfies a requirement in a system.

Abstract: There are provided systems and methods for classifying a substructure in graph data using textual descriptions derived from the graph data and hash maps generated from the textual descriptions. One or more descriptions that describe a plurality of transactions are generated based on a sequence of nodes in a set of nodes identified in a corresponding transaction of the plurality of transactions. The set of nodes represents features of the corresponding transaction. A plurality of instances is identified from the descriptions, and each instance may include a substructure including two or more nodes connected via at least one edge. For each instance, a key and a value are generated based on a hash for the instance to generate a hash map. A specific transaction is classified as an abnormal transaction based on a particular key that is excluded from the hash map.

Abstract: The present invention provides a mono-p-toluenesulfonate of (S)-(2-((5-chloro-2-((7-(pyrrolidin-1-yl)-6,7,8,9-tetrahydro-5H-benzo[7]annulen-2-yl)amino)pyrimidin-4-yl)amino)-5-(methoxymethyl)phenyl)dimethyl phosphine oxide, and a hydrate and a crystal form thereof. The crystal form of p-toluenesulfonate has a good stability, is easy to process, and has a high solubility.

Abstract: Systems, methods, and devices are provided for generating and using text-to-speech (TTS) data for improved speech recognition models. A main model is trained with keyword independent baseline training data. In some instances, acoustic and language model sub-components of the main model are modified with new TTS training data. In some instances, the new TTS training is obtained from a multi-speaker neural TTS system for a keyword that is underrepresented in the baseline training data. In some instances, the new TTS training data is used for pronunciation learning and normalization of keyword dependent confidence scores in keyword spotting (KWS) applications. In some instances, the new TTS training data is used for rapid speaker adaptation in speech recognition models.

Abstract: A method for preparing a lithium carbonate suspension, comprising the following steps: step 1, mixing lithium carbonate powder, a grinding medium, and a dispersion medium, and then grinding and filtering to obtain a lithium carbonate suspension; and step 2, adding a polymer additive to the lithium carbonate suspension, stirring and dispersing to obtain a stable lithium carbonate suspension. The stability of the lithium carbonate suspension can be increased by adding the polymer additive to the lithium carbonate suspension. If the stable lithium carbonate suspension is further added to a positive electrode slurry, lithium carbonate is dispersed better in the positive electrode material thus prepared, and a CID is activated more quickly, such that the battery has better performance in terms of overcharging prevention.

Abstract: A positive electrode material for lithium-ion batteries. The positive electrode material for lithium-ion batteries comprises a polymer additive as shown in Formula I or II, the polymer additive has an average molecular weight of 10,000 to 1,000,000, preferably 100,000 to 500,000, and more preferably 300,000, and an addition amount of the polymer additive is 0.001 wt % to 0.1 wt %, preferably 0.01 wt %. By adding the polymer additive as shown in Formula I or II, lithium carbonate in the positive electrode material is better dispersed, a CID is turned on faster, and the lithium-ion batteries thus have better protection against overcharge.

Abstract: A dense optical flow calculation system and method based on an FPGA (Field Programmable Gate Array) are provided. The system comprises a software system deployed on a host and a dense optical flow calculation module deployed on the FPGA. Pixel information of two continuous frames of pictures is obtained from a host end in the system, and optical flow is obtained by calculation by means of the steps such as smoothing processing, polynomial expansion, intermediate variable calculation, optical flow calculation. An image pyramid and iterative optical flow calculation can be achieved by repeatedly calling a calculation core module in the FPGA; a final calculation result is returned to the host end.

Abstract: The present application belongs to the technical field of intelligent household appliances, and relates to a prompt method for a refrigerator. The method comprises establishing a dish database according to the menu query information of the user, wherein the dish database comprises dishes and foods corresponding to the dishes; establishing a food database according to each food in the refrigerator and the time when the food enters the refrigerator; detecting food in the current refrigerator, wherein each food in the refrigerator is matched with a corresponding dish according to a dish database, and prompt information is obtained according to the time when the food enters the refrigerator in the food database; and prompting with the prompt information; wherein the prompt information includes expected expiration times and recommended dishes.

Abstract: An information processing device including: an information obtaining unit that obtains environmental information from sensor information obtained by a sensor with which an autonomous moving body is provided; an extraction unit that extracts, from the environmental information, specific environmental information to be saved; and an action control unit that controls an action of the autonomous moving body so as to output the specific environmental information to the outside.

Abstract: Systems and methods are provided for instantiating, modifying, adapting, and using a factorized neural transducer for multi-speaker automatic speech recognition. The factorized neural transducer includes a vocabulary predictor with multiple hidden states to process speech from different speakers, a non-vocabulary predictor that facilitates the prediction of channel change tokens indicating a speaker change in input speech data, an encoder used to encode acoustic features of the input speech data, and a joint network.

Abstract: Provided in the present disclosure is crystal form I of compound 1, and a preparation method thereof and the use thereof.

Abstract: Methods and apparatus pertaining to scaling of the proportional gain and the integral gain in PI controllers of an autodriller based on drilling context. For example, a proportional gain and an integral gain are each determined for utilization by a PI controller of an autodriller controlling operation of equipment to be utilized for a drilling operation to drill a borehole into a subterranean formation. During the drilling operation, the integral gain is updated in real-time utilizing current values of drilling parameters that change with respect to time.