Abstract: Provided are an epitope peptide (or a variant thereof) that can be used for preventing or treating an EBV infection, a recombinant protein containing the epitope peptide (or variant thereof) and a carrier protein, and the use of the epitope peptide (or variant thereof) and the recombinant protein. Further provided are an antibody against the epitope peptide, and the use thereof in the detection, prevention and/or treatment of an EBV infection and/or diseases caused by the infection.

Abstract: A data storage device including, in one implementation, a non-volatile memory device having a memory block including a number of memory dies, and a controller coupled to the non-volatile memory device. The controller is configured to monitor a temperature of the data storage device and determine whether the monitored temperature exceeds a first temperature threshold. The controller is also configured to perform a default thermal throttling operation based on the monitored temperature exceeding the first temperature threshold, determine whether the monitored temperature exceeds a second temperature threshold, and perform a customized thermal throttling operation based on the monitored temperature exceeding the second temperature threshold.

Abstract: A snow thrower includes a motor, an auger driven by the motor to rotate, a handle device for a user to operate, an auger housing for containing the auger and a frame for connecting the handle device and the auger housing. The auger housing is made of at least two different materials.

Abstract: A gain equalizer and a method for controlling a tunable gain of the gain equalizer are provided. The gain equalizer includes a common source stage and a switch array. The common source stage is configured to apply the tunable gain to an input signal, in order to generate an amplified signal. The common source stage includes input transistors and cascode transistors, wherein the cascode transistors are respectively coupled to the input transistors. The input transistors are configured to receive the input signal via gate terminals of the input transistors, respectively, and the cascode transistors are configured to output the amplified signal via drain terminals of the cascode transistors, respectively. In addition, the switch array is coupled between respective source terminals of the cascode transistors, wherein the tunable gain is controlled according to an equivalent impedance of the switch array.

Abstract: A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture may identify objects according to the confidence threshold of a model. The confidence threshold may be monitored over time, and the model may be updated if the confidence threshold drops below an acceptable level. The data for retraining is ideally generated substantially internal to the camera. A classifier is generated to process the entire field data set stored on the camera to create a field data subset also stored on the camera. The field data subset may be run through the model to generate cases that may be used in further monitoring, training, and updating of the model. Classifiers may also be generated for images in different domains (e.g.

Abstract: A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture may identify objects according to a confidence threshold of a model. The confidence threshold may be monitored over time, and the model may be updated if the confidence threshold drops below an acceptable level. The data for retraining is ideally generated substantially internal to the camera. A filter is generated to process the entire field data set stored on the camera to create a field data subset also stored on the camera. The field data subset may be run through the model to generate cases that may be used in further monitoring, training, and updating of the model.

Abstract: A data storage device including, in one implementation, a non-volatile memory device having a memory block including a number of memory dies, and a controller coupled to the non-volatile memory device. The controller is configured to monitor a temperature of the data storage device and determine whether the monitored temperature exceeds a first temperature threshold. The controller is also configured to perform a default thermal throttling operation based on the monitored temperature exceeding the first temperature threshold, determine whether the monitored temperature exceeds a second temperature threshold, and perform a customized thermal throttling operation based on the monitored temperature exceeding the second temperature threshold.

Abstract: Systems and methods for surveillance video streams with embedded object data from another video camera are described. At least two video cameras are configured with fields of view to provide images of an object from alternative views. Video data for a primary video stream is received from one camera and secondary object data for the object from the other camera is embedded in the primary video stream. The primary video stream is sent to an analytics engine for processing the primary video and embedded secondary object data, such as performing facial recognition on a better image of a human face and/or feature vectors therefrom that are embedded in the primary video stream.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining cluster data, determining a portion of the search queries within the given query cluster that trigger a local search feature, assigning to the intent flag a value indicating that the given cluster is high local intent cluster when the portion of the search queries within the given query cluster that trigger the local search feature meets the local intent threshold, assigning to the intent flag a value indicating that the given cluster is a low local intent cluster when the portion of the search queries within the given query cluster that trigger the local search feature fails to meet the local intent threshold, and modifying a content item including adding a local content feature to the content item when the search query is determined to be included in the high local intent cluster.

Abstract: Systems and methods for surveillance video streams with embedded object data from another video camera are described. At least two video cameras are configured with fields of view to provide images of an object from alternative views. Video data for a primary video stream is received from one camera and secondary object data for the object from the other camera is embedded in the primary video stream. The primary video stream is sent to an analytics engine for processing the primary video and embedded secondary object data, such as performing facial recognition on a better image of a human face and/or feature vectors therefrom that are embedded in the primary video stream.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining cluster data, determining a portion of the search queries within the given query cluster that trigger a local search feature, assigning to the intent flag a value indicating that the given cluster is high local intent cluster when the portion of the search queries within the given query cluster that trigger the local search feature meets the local intent threshold, assigning to the intent flag a value indicating that the given cluster is a low local intent cluster when the portion of the search queries within the given query cluster that trigger the local search feature fails to meet the local intent threshold, and modifying a content item including adding a local content feature to the content item when the search query is determined to be included in the high local intent cluster.

Abstract: A device configured for processing time-series data within an asynchronous neural network may include a processor configured to execute the neural network. The device may further include a multi-step convolution pathway wherein the output of at least one step includes one or more feature maps. Additionally, a multi-step upsampling pathway with steps having corresponding convolution step inputs is included. The device further utilizes feature map data from at least one step of the multi-step convolution process as input data in at least one corresponding step of the upsampling process. The device also includes an inference frequency controller to receive input data and transmit a processing frequency signal to the neural network. The neural network can then generate feature maps at a reduced frequency within the multi-step convolution pathway, and utilize previously processed feature maps as input data within the multi-step upsampling pathway until a subsequent feature map is generated.

Abstract: Disclosed herein are compositions comprising polymeric perfluorocarbon nanoemulsions and methods of their production, as well as methods for their use in imaging, examination, diagnosis and/or treatment of neurological and psychiatric diseases, as well as for ultrasound- mediated localized drug release into the brain.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining cluster data, determining a portion of the search queries within the given query cluster that trigger a local search feature, assigning to the intent flag a value indicating that the given cluster is high local intent cluster when the portion of the search queries within the given query cluster that trigger the local search feature meets the local intent threshold, assigning to the intent flag a value indicating that the given cluster is a low local intent cluster when the portion of the search queries within the given query cluster that trigger the local search feature fails to meet the local intent threshold, and modifying a content item including adding a local content feature to the content item when the search query is determined to be included in the high local intent cluster.

Abstract: A receiver receives a wide band signal in a range comprising a front end to the receiver including a complementary metal-oxide-semiconductor (CMOS). The CMOS includes a dipole antenna that receives a received signal; a hybrid-based broadband isolation structure that receives the received signal and a local oscillator LO signal and passes through the LO signal to a sub-harmonic mixer. The sub-harmonic mixer mixes the received signal with the local oscillator signal to generate an intermediate frequency (IF) signal to the hybrid-based broadband isolation structure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing transmission of digital components. In one aspect a digital component distribution system performs operations including determining a minimum eligibility value required to maintain the eligibility of a given digital component based on a next highest eligibility value of one of the other digital components. Based on the next highest eligibility value, a baseline transmission value required to be submitted for distribution of the given digital component is determined. A normalized transmission value is determined based on the minimum eligibility value, and transmission of the given digital component to a client device presenting a particular electronic document is triggered based on the normalized transmission value.

Abstract: In various example embodiments, systems and methods for providing category aspect information by mining historical data is provided. In example embodiments, a table comprising joined data is accessed. The table includes historical data that comprises user behavior data based on actions performed with past queries by users, data describing publication, and a determined category for each publication. Demand scores based on the joined data are determined. The determined demand scores are used to determine most relevant aspect name and aspect value pairs for a category. Publications having at least one of the most relevant aspect name and aspect value pairs are displayed visually distinguished from less relevant publications that exclude the most relevant aspect name and aspect value pairs.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium.