Abstract: A system uses a machine learning model trained using multitask learning for processing audio signals of different types. The system may be used in a device such as a headset, smart glasses, or a smart watch, and may be used to make predictions based on different types of audio signals, for example, for classifying acoustic events based on audio signal or for keyword spotting to detect wake words. The use of a single machine learning model for analyzing different types of audio signals improves storage efficiency as well as energy efficiency of devices compared to systems that use a different machine learning model for processing each type of audio signal.

Abstract: A preparation method and application of flaxseed plant milk with a good flavor, self-stabilization and functional activity based on interface contro is disclosed. The preparation method includes the following steps: (1) pretreating flaxseed by degumming, microwave cooking and soaking for softening in sequence for standby; (2) performing colloid grinding, enzymatic hydrolysis and slag removal on the flaxseed obtained by soaking for softening in sequence, to obtain flaxseed plant milk A; and (3) performing first high-pressure homogenization, enzyme inactivation, sterilization, and second high-pressure homogenization on the flaxseed plant milk A in sequence, to obtain stable flaxseed plant milk in long-term storage with a good flavor and functional activity based on interface control. The process of the present invention is green, and can maintain stability of a product without adding an exogenous additive.

Abstract: This application relates to a machine learning model training method and apparatus, and an expression image classification method and apparatus. The machine learning model training method includes: obtaining a machine learning model that includes a model parameter and that is obtained through training according to a general-purpose image training set; determining a sample of a special-purpose image and a corresponding classification label; inputting the sample of the special-purpose image to the machine learning model, to obtain an intermediate classification result; and adjusting the model parameter of the machine learning model according to a difference between the intermediate classification result and the classification label, continuing training, and ending the training in a case that a training stop condition is met. The solutions provided in this application improve the training efficiency of the machine learning model.

Abstract: The invention provides compounds of Formula (I): as further described herein, as well as pharmaceutical compositions comprising such compounds, and methods to use the compounds and pharmaceutical compositions for treatment of certain viral disorders, including influenza.

Abstract: A resource processing method and apparatus. The method is achieved by a computer configured to execute the following steps: generating a resource allocation chart based on a resource allocation request; processing the resource allocation chart and generating an access entrance of the resource allocation chart; opening the access entrance to enable at least one third party resource supplier to respond to the resource allocation request via the access entrance. The method further comprises: when the resources are not available or not suitable for allocation, receiving a resource allocation chart, wherein the resource allocation chart is based on the resource allocation request; generating an access entrance of the resource allocation chart; opening the access entrance to at least one third party resource supplier; and receiving the allocated resources from the at least one third party resource supplier by responding to the resource allocation request through the access entrance.

Abstract: The present disclosure relates to a power divider and a circuit including the same. The power divider may comprise: at least two branches; the at least two branches comprise a first branch coupled between a first port and a second port; and a second branch coupled between the first port and a third port; the first branch comprises a first transmission line for power dividing function coupled to the first port, and a first impedance matching structure coupled to the second port; and the second branch comprises a second transmission line for power dividing function coupled to the first port, and a second impedance matching structure coupled to the third port. According to embodiments of the present disclosure, lengths and/or even types of the transmission lines in the power divider may be reduced.

Abstract: The present disclosure provides a magnetic element, including: a magnetic core with at least one magnetic column extending along a first direction; a first winding surrounding the magnetic column; a second winding at least partially surrounding the first winding; and a third winding at least partially surrounding the second winding. The number of turns of the second winding is less than or equal to the number of turns of the first winding. The number of turns of the third winding is less than or equal to the number of turns of the first winding.

Abstract: The present disclosure provides a magnetic element, including: a magnetic column extending along a first direction; a first winding surrounding the magnetic column, connected to a first terminal located on a first side of the magnetic element, and the first terminal has a first projection of the first terminal on a first side surface of the magnetic element; and a second winding surrounding the magnetic column and at least partially outside the first winding, wherein the second winding has a first projection of the second winding on the first side surface of the magnetic element, the first projection of the first terminal is at least partially outside the first projection of the second winding, the second winding is a flatwise-wound winding, and the number of turns of the first winding is greater than or equal to the number of turns of the second winding.

Abstract: A resource processing method and apparatus. The method is achieved by a computer configured to execute the following steps: generating a resource allocation chart based on a resource allocation request; processing the resource allocation chart and generating an access entrance of the resource allocation chart; opening the access entrance to enable at least one third party resource supplier to respond to the resource allocation request via the access entrance. The method further comprises: when the resources are not available or not suitable for allocation, receiving a resource allocation chart, wherein the resource allocation chart is based on the resource allocation request; generating an access entrance of the resource allocation chart; opening the access entrance to at least one third party resource supplier; and receiving the allocated resources from the at least one third party resource supplier by responding to the resource allocation request through the access entrance.

Abstract: One or more methods and/or techniques for providing a personalized future event notification to a user are provided herein. A content item (e.g., a news article, a social network post, etc.) may be evaluated utilizing a future event detection model to identify a future event (e.g., a festival). The future event detection model may have been trained to identify future events based upon part of speech analysis and entity recognition analysis of text within content items. In an example, the future event detection model may be used to identify locational features, temporal features, and/or entities from the content item. A user having a user interest in the future event above an interest threshold may be identified based upon user identifying information (e.g., a social network profile) being indicative of user interest in the future event. A personalized future event notification of the future event may be provided to the user.

Abstract: A resource processing method and apparatus. The method is achieved by a computer configured to execute the following steps: generating a resource allocation chart based on a resource allocation request; processing the resource allocation chart and generating an access entrance of the resource allocation chart; opening the access entrance to enable at least one third party resource supplier to respond to the resource allocation request via the access entrance. The method further comprises: when the resources are not available or not suitable for allocation, receiving a resource allocation chart, wherein the resource allocation chart is based on the resource allocation request; generating an access entrance of the resource allocation chart; opening the access entrance to at least one third party resource supplier; and receiving the allocated resources from the at least one third party resource supplier by responding to the resource allocation request through the access entrance.

Abstract: A human pilot controls a robotic arm and gripper by simulating a set of desired motions with the human hand. In at least one embodiment, one or more images of the pilot's hand are captured and analyzed to determine a set of hand poses. In at least one embodiment, the set of hand poses is translated to a corresponding set of robotic-gripper poses. In at least one embodiment, a set of motions is determined that perform the set of robotic-gripper poses, and the robot is directed to perform the set of motions.

Abstract: A resource processing method and apparatus. The method is achieved by a computer configured to execute the following steps: generating a resource allocation chart based on a resource allocation request; processing the resource allocation chart and generating an access entrance of the resource allocation chart; opening the access entrance to enable at least one third party resource supplier to respond to the resource allocation request via the access entrance. The method further comprises: when the resources are not available or not suitable for allocation, receiving a resource allocation chart, wherein the resource allocation chart is based on the resource allocation request; generating an access entrance of the resource allocation chart; opening the access entrance to at least one third party resource supplier; and receiving the allocated resources from the at least one third party resource supplier by responding to the resource allocation request through the access entrance.

Abstract: One or more methods and/or techniques for providing a personalized future event notification to a user are provided herein. A content item (e.g., a news article, a social network post, etc.) may be evaluated utilizing a future event detection model to identify a future event (e.g., a festival). The future event detection model may have been trained to identify future events based upon part of speech analysis and entity recognition analysis of text within content items. In an example, the future event detection model may be used to identify locational features, temporal features, and/or entities from the content item. A user having a user interest in the future event above an interest threshold may be identified based upon user identifying information (e.g., a social network profile) being indicative of user interest in the future event. A personalized future event notification of the future event may be provided to the user.

Abstract: One or more methods and/or techniques for providing a personalized future event notification to a user are provided herein. A content item (e.g., a news article, a social network post, etc.) may be evaluated utilizing a future event detection model to identify a future event (e.g., a festival). The future event detection model may have been trained to identify future events based upon part of speech analysis and entity recognition analysis of text within content items. In an example, the future event detection model may be used to identify locational features, temporal features, and/or entities from the content item. A user having a user interest in the future event above an interest threshold may be identified based upon user identifying information (e.g., a social network profile) being indicative of user interest in the future event. A personalized future event notification of the future event may be provided to the user.

Abstract: One or more methods and/or techniques for providing a personalized future event notification to a user are provided herein. A content item (e.g., a news article, a social network post, etc.) may be evaluated utilizing a future event detection model to identify a future event (e.g., a festival). The future event detection model may have been trained to identify future events based upon part of speech analysis and entity recognition analysis of text within content items. In an example, the future event detection model may be used to identify locational features, temporal features, and/or entities from the content item. A user having a user interest in the future event above an interest threshold may be identified based upon user identifying information (e.g., a social network profile) being indicative of user interest in the future event. A personalized future event notification of the future event may be provided to the user.

Abstract: The present invention provides isolated homogeneous polyfunctionalized proteins (e.g., erythropoietin), isolated glycopeptides, and a method for preparing polyfunctionalized peptides and/or proteins via cysteine-free native chemical ligation. In certain embodiments, the invention provides an isolated homogeneous polyfunctionalized protein having the structure (I). In certain other embodiments, the invention provides an isolated glycopeptide having Formula (II). In certain other embodiments, the inventive method is a method for preparing a polyfunctionalized peptide comprising a peptidic backbone made up of four or more amino acids, wherein two or more non-adjacent amino acids are independently substituted with a moiety having the structure (III) -LH. wherein A and L1 are as defined herein.

Abstract: A method to evaluate Electro-Myocardial Cardiogram (EmCG) parameters is disclosed. The method comprises calculating a Contraction Strength Strain (CSS) and Relaxation Strength Strain (RSS) index. The calculation is represented by a non-linear waveform that represents the excitement function and pump function of the heart.

Abstract: Glycopeptide conjugates, and methods of making and using such conjugates are disclosed. Certain glycopeptide conjugates comprise tumor associated carbohydrate antigens and peptide epitopes. Certain glycopeptide conjugates comprise cyclic peptide scaffolds that display carbohydrate antigens in a clustered fashion. The immunogenicity of select glycopeptide conjugates is demonstrated.

Abstract: The present invention provides isolated homogeneous polyfunctionalized proteins (e.g., erythropoietin), isolated glycopeptides, and a method for preparing polyfunctionalized peptides and/or proteins via cysteine-free native chemical ligation. In certain embodiments, the invention provides an isolated homogeneous polyfunctionalized protein having the structure (I). In certain other embodiments, the invention provides an isolated glycopeptide having Formula (II). In certain other embodiments, the inventive method is a method for preparing a polyfunctionalized peptide comprising a peptidic backbone made up of four or more amino acids, wherein two or more non-adjacent amino acids are independently substituted with a moiety having the structure (III)-LH. wherein A and L1 are as defined herein.