Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media to capture images. A method of processing image data includes determining a first region of interest (ROI) in an image. The first ROI is associated with a first object. The method can include determining one or more image characteristics of the first ROI. The method can further include determining whether to perform an upsampling process on image data in the first ROI based on the one or more image characteristics of the first ROI.

Abstract: A centrifugal heat dissipation fan including a housing and an impeller is provided. The housing has at least one inlet disposed along an axis and at least one first outlet and a second outlet located in different radial directions, wherein the first outlet and the second outlet are opposite to and separated from each other. The impeller is disposed in the housing along the axis. A heat dissipation system of an electronic device is also provided.

Abstract: A system of controlling a vehicle may include a sensor and a controller, in which the sensor may be configured to sense vehicle operation state information, and the controller may be configured to determine whether a vehicle is running on a dangerous road based on the sensed vehicle operation state information, determine whether there is a possibility that a vehicle driving state will cause a failure of a driving system based on the sensed vehicle operation state information in response to determining that the vehicle is running on the dangerous road, and decide that torque control of the vehicle.

Abstract: A method for preparing antibacterial stainless steel by surface alloying includes the steps of coating an infiltration promoter layer on a stainless steel surface, coating an antibacterial metal layer on a surface of the infiltration promoter layer, and performing heat treatment of the stainless steel to diffuse an antibacterial metal into the stainless steel. This method can be applied to various types of stainless steel, and the antibacterial metal can be diffused and quenched into the stainless steel, such that the finally formed surface of the stainless steel has an antibacterial alloy layer with a specific thickness to provide better corrosion resistance and antibacterial ability without changing the advantages and properties of the antibacterial metal or stainless steel substrate, and the thickness and concentration of the antibacterial metal layer, and the parameters for heat treatment can be adjusted to control the chemical composition and thickness of the antibacterial alloy layer.

Abstract: The present invention provides a high-strength and high-heat-resistant bio-based polyamide composition, which consists of the following parts of materials by mass: 43.50-89.95% of bio-based polyamide resin slices; 10-50% of reinforcements; 0.01-2% of rare earth compounds; 0.01-1% of copper salt antioxidant combinations; 0.01-1% of free-radical scavengers; 0.01-0.5% of heat-conducting masterbatches; 0.01-1% of stabilizers; and 0-1% of dispersants. The advantage of the present invention is presented in that: the bio-based polyamide resin slice is prepared through a stepwise polycondensation process of pentanediamine and adipic acid, or through a stepwise polycondensation process of pentanediamine, adipic acid and terephthalic acid and the pentanediamine is prepared through fermentation of starch, so the prepared polyamide resin pertains to an environmentally-friendly engineering plastic.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for managing a plurality of live comments. A plurality of live comments is obtained for a video, the plurality of live comments being associated with a plurality of fragments in the video, respectively. A plurality of features are extracted from the plurality of live comments, respectively. A knowledge base is generated for the plurality of live comments based on the plurality of features. With these embodiments, the live comments may be managed in an effective way. Further, the knowledge base may provide answers to a user query.

Abstract: This application provides a method and a related communication apparatus applicable to the communication field. In the method, a network device receives a first notification message sent by a terminal device, where the first notification message indicates that the terminal device has completed training on a target model, and the first notification message includes a model name corresponding to the target model. The network device then determines policy information based on the uplink channel state information of the terminal device; and sends a lightweight indication message to the terminal device.

Abstract: A virtual machine management method and apparatus, a device, and a readable storage medium. The virtual machine management method is applied to a private cloud, and comprises: acquiring a SELinux label, the SELinux label comprising five elements: User, Role, Type, Sensitivity, and Category (S101); setting elements other than Category in the SELinux label as default values (S102); assigning different values to Category according to a preset Category variable combination so as to obtain multiple non-duplicate label groups (S103); and configuring each label group to a virtual machine in the private cloud, so that virtual machines configured with the same label group communicate with each other, and virtual machines configured with different label groups are isolated from each other (S104).

Abstract: An implantable device is configured to be positioned within a native heart valve to allow the native heart valve to form a more effective seal. The implantable device includes a cover. The cover can be attached to one or more sleeves, can have a portion that has a lower coefficient of friction, and/or can have separate pieces that cover different portions of the implantable device.

Abstract: This application provides a model data sending method and an apparatus. The method can reduce an accuracy loss of model data, and includes: A first device determines second information based on first information, where the second information is used by a second device to quantize first model data, the first information includes an evaluation loss corresponding to a current round of training, the second information includes a quantization error threshold, and the first model data is model data that is after the current round of training; the first device sends the second information to the second device; and the first device receives a first message sent by the second device, where the first message includes quantized first model data and first quantization configuration information.

Abstract: A model distillation training method provides for establishment of a distillation training communication connection with a second device prior to performing distillation training on a neural network model. Based on exchange of distillation training information between the first device and the second device, the second device configures a first reference neural network model by using first configuration information sent by the first device. After configuring the first reference neural network model, the second device performs operation processing on first sample data in first data information based on the configured first reference neural network model by using the first data information to obtain first indication information, and sends the first indication information to the first device. The first device trains, by using the first indication information, a first neural network model designed by the first device.

Abstract: The present invention relates to an antigen-binding protein, or an antigen-binding fragment thereof, comprising (i) a heavy chain variable domain comprising a VHCDR1 having the amino acid sequence GYSITSGYSWH; a VHCDR2 having the amino acid sequence YIHYSGSTKYNPSLKS and a VHCDR3 having the amino acid sequence GSNYGFDY; and (ii) a light chain variable domain comprising a VLCDR1 having the amino acid sequence KSSQSLLYSNDQKNYLA, a VLCDR2 having the amino acid sequence WASIRES, and a VLCDR3 having the amino acid sequence QQYYIYPLT.

Abstract: A spiral-orifice ceramic filter for metal casting, including spiral channels and two drain openings, where the spiral channels are distributed in a ceramic substrate in a staggered manner. By adoption of the spiral channel structure, molten metal may rotate to generate a centrifugal force while flowing forwards so as to promote separation of inclusions. The spiral-orifice ceramic filter for metal casting includes the following components: 90-95 wt % of MgO, 4-8 wt % of SiO2 and 2-4 wt % of ZrO2. Therefore, the spiral-orifice ceramic filter for metal casting has high strength under normal temperature and optional thermal impact resistance under high temperature, and may tolerate the impact of molten metal at 1700° C. or higher without break. The ceramic substrate and the spiral channel are superficially coated with one layer of functional oxide prepared from CaO.2Al2O3, CaO.6Al2O3, Al2O3, TiO2, or Re2O3.

Abstract: A mussel soybean paste and a preparation method thereof are provided, the preparation method includes: sterilizing soaked soybeans, adding mussel cooking liquor hydrolysate, and then inoculating Aspergillus oryzae for making koji to obtain soybean koji; sterilizing soaked rice, and inoculating Aspergillus oryzae for making koji to obtain rice koji; mixing the rice koji with the soybean koji to obtain a koji material; adding the koji material and salt into mussel meat for anaerobic fermentation, grinding an obtained mussel soybean paste semi-finished product by using a colloid mill, and conducting sterilizing to obtain the mussel soybean paste. The mussel soybean paste which is natural, nutritional and good in flavor can be prepared, and the added value of mussels is increased.

Abstract: An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: An image detection device and an image detection method are provided. The image detection method includes: obtaining an image, where the image includes an object; adjusting a first size of the image to generate an adjusted image; generating a first divided image and a second divided image according to the image; and detecting the object in the image based on a plurality of input images, where the plurality of input images includes the first divided image, the second divided image, and the adjusted image.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for translating a content item. Aspects include obtaining a user profile for a reader of the content item, the user profile comprising a native language of the reader, a second language of the reader and skill level associated with the second language. Aspects also include obtaining the content item, wherein the content item is in the second language. Aspects further include creating a translated content item by determining, for each phrase in the content item, a confidence score that the reader will understand the phrase based at least in part on the user profile and replacing each phrase in the content item having the confidence score less than a threshold level with an alternate phrase. Aspects also include presenting the translated content item to the reader.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: The present disclosure provides a multifunction emergency weather radio, which relates to the field of emergency devices. The multifunction emergency weather radio includes a housing. A rear face of the housing is provided with a crank, the crank is of a three-segment design and includes a crank grip, a crank lever, and a rotary disk respectively. Two ends of the crank lever are respectively connected to the crank grip and the rotary disk. An interior of the housing is provided with a coil and a magnet at a position of the rotary disk. The rear face of the housing is provided with an accommodating groove corresponding to the crank. An upper end of the housing is provided with a rotary plate, and a side of the rotary plate is rotatably connected to the housing.