Abstract: Embodiments of the present invention relate to the field of communications methods and technologies, and in particular, to a transmission method and apparatus. The transmission method includes: generating, by a first device, a sequence based on one or more transmission parameters, where the one or more transmission parameters include at least one of the following: a time domain resource type, transmission waveform indication information, subcarrier spacing indication information, device type information, service type indication information, multiple-input multiple-output MIMO parameter information, duplex mode indication information, control channel format indication information, and transmission carrier indication information; generating to-be-transmitted information by using the sequence; and sending the to-be-transmitted information. According to the transmission method and apparatus in the embodiments of the present invention, a new transmission error check mechanism is provided.

Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.

Abstract: Methods and computer systems for storing a query plan in a cache are provided. The method can include: determining a use frequency of the query plan; determining a target storage layer for storing the query plan based on the determined use frequency, wherein the cache includes at least two storage layers and each of the storage layers is associated with a compression level of query plans; processing the query plan according to the compression level of the target storage layer; and storing the processed query plan in the target storage layer.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to find new area to cover by a robot encountering an unexpected obstacle traversing an area in which the robot is performing an area coverage task. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: A wave energy converter is provided which includes a nacelle having a starboard side and a port side axis, and housing a power take-off. The wave energy converter also includes at least one buoyancy member coupled to the nacelle, and a ballast tank coupled to the nacelle. The ballast tank, the at least one buoyancy member, and the nacelle, together form a first body, where the first body is coupled to the power take-off. The wave energy converter further includes a float and a drive arm forming a second body, where the second body is rotatably coupled to the first body about a coupling axis, and the second body is coupled to the power take-off. The second body is configured to rotate relative to the first body about the coupling axis within a radial span bounded by a proximal end of the float and a radially distal end of the float.

Abstract: Methods, systems and computer program products for data fetching in a networked computing environment. In one embodiment, the method comprises receiving a request from an analytical node for a set of data for a defined job, and identifying in networked storage a subset of the data for the job. The subset of data is loaded to the analytical node based on the sequence in which the data are projected to be accessed in the job. In an embodiment, the request includes a specification for the job, and the specification is analyzed to identify the subset of data. In one embodiment, the subset of data is identified by identifying another job having a relationship to the defined job, and identifying the data used for that other job. In an embodiment, the networked computing environment is a cloud computing environment, and the defined job is an analytics job.

Abstract: A computer-implemented method is provided. The method includes obtaining a first value of a first color setting of an operating system; obtaining a second value of a second color setting of an application on the operating system; and resetting the second color setting of the application to a third color setting based on a combination of the first value and the second value. The third color setting is different from the first color setting, and the third color setting is different from the second color setting.

Abstract: Methods and systems are provided for accurately filling holes, regions, and/or portions of high-resolution images using guided upsampling during image inpainting. For instance, an image inpainting system can apply guided upsampling to an inpainted image result to enable generation of a high-resolution inpainting result from a lower-resolution image that has undergone inpainting. To allow for guided upsampling during image inpainting, one or more neural networks can be used. For instance, a low-resolution result neural network (e.g., comprised of an encoder and a decoder) and a high-resolution input neural network (e.g., comprised of an encoder and a decoder). The image inpainting system can use such networks to generate a high-resolution inpainting image result that fills the hole, region, and/or portion of the image.

Abstract: A self-learning method for an obstacle and a self-learning method for a new obstacle are provided. With the self-learning method, in step 1, data of a grid map in a movement region is acquired, and each of grids of the grid map is marked as not being traversed. In step 2, a starting grid of the grid map is set, data of the starting grid is pushed into a stack, a movement unit is controlled to move to the starting grid, and the starting grid is remarked as being traversed. In step 3, the movement unit is controlled to traverse the grid map, and boundary data of the obstacle is acquired based on marks of the grids in the grid map. In step 4, boundary data of the obstacle is stored.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: This application proposes a polyamide-imide copolymer film and a flexible display. The polyamide-imide copolymer film is obtained by copolymerizing aromatic dianhydride and aromatic dicarbonyl compound with aromatic diamine. Wherein, the aromatic dicarbonyl compounds include fluorinated aromatic dicarbonyl compound and non-fluorinated aromatic dicarbonyl compound. The polyamide-imide copolymer film can obtain a very low yellow degree index and dual refractive index, which is suitable for the substrate production of flexible display.

Abstract: Techniques for snapshot classification involve generating a plurality of snapshots of a storage system at multiple times; clustering the plurality of snapshots into a first group of snapshots and a second group of snapshots based on data features of the plurality of snapshots; and determining a clean snapshot among the plurality of snapshots based on a comparison between the generation time of the first group of snapshots and the generation time of the second group of snapshots. Accordingly, a clean snapshot and a damaged snapshot can be automatically and quickly distinguished, thereby improving the efficiency of finding a clean snapshot and helping a user recover data quickly.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: A double-deck rail vehicle and a vehicle body thereof are provided. An underframe (11) of the vehicle body comprises a lower-layer underframe (111), end underframes (112, 115), sealing plates (114, 116), and side underframes (118, 119); wherein the lower-layer underframe is provided with an underframe middle beam (1111); the end underframe is fixedly connected to the underframe middle beam by means of reinforcement middle beams (113, 117); the sealing plate is fixedly connected between the end underframe and the lower-layer underframe; and the side underframe comprises side beams (1181, 1191) of the side underframe that are integrated, and the side underframe is fixedly connected to the end underframe by means of the side beams of the side underframe. The vehicle body supplements the reinforcement middle beams capable of increasing the connection strength between the end underframe and the lower-layer underframe, and uses the integrated side beams of the side underframe.

Abstract: A wave energy converter is provided which includes a nacelle having a starboard side and a port side axis, and housing a power take-off. The wave energy converter also includes at least one buoyancy member coupled to the nacelle, and a ballast tank coupled to the nacelle. The ballast tank, the at least one buoyancy member, and the nacelle, together form a first body, where the first body is coupled to the power take-off. The wave energy converter further includes a float and a drive arm forming a second body, where the second body is rotatably coupled to the first body about a coupling axis, and the second body is coupled to the power take-off. The second body is configured to rotate relative to the first body about the coupling axis within a radial span bounded by a proximal end of the float and a radially distal end of the float.

Abstract: Disclosures relate to a sensor system and arrangements having different sized removable spacers. The spacers may be mixed and matched as needed or desired to compensate for misalignment conditions. Further, different spacer combinations and adjustments may be guided by a security management computing device. Variations in configurations of mounting surfaces, such as door and window assemblies, may be accommodated. Alignment of a transmitter or a receiving device, e.g., a magnetic device, with respect to a transmitter or receiving device despite misalignment of the components due to, for example, uneven surfaces of a door or a window, or a respective frame may be achieved.

Abstract: A high-frequency composite impactor including a high-frequency axial and a torsional impact assembly is disclosed. The high-frequency axial impact assembly includes an upper self-excited oscillation cavity, a lower self-excited oscillation cavity, an adjustment block and a lock nut. The torsional impact assembly includes an upper end cover, a reversing switch, a pendulum, a lower shell, a lower end cover, a nozzle, a connecting block and a retaining ring. The high-frequency axial impact assembly converts the flowing drilling fluid into a pulsed jet to achieve a high-frequency axial impact. The torsional impact assembly enables a torsional impact through a shunt, and finally enables a high-frequency composite impact, which can effectively reduce the stick-slip of the drill string, jump drilling and other downhole accidents. By reducing the friction between the drill string and the borehole wall, the impactor can reduce WOB loss, increase the ROP, and improve the drilling efficiency.

Abstract: An audio visual haptic signal reconstruction method includes first utilizing a large-scale audio-visual database stored in a central cloud to learn knowledge, and transferring same to an edge node; then combining, by means of the edge node, a received audio-visual signal with knowledge in the central cloud, and fully mining semantic correlation and consistency between modals; and finally fusing the semantic features of the obtained audio and video signals and inputting the semantic features to a haptic generation network, thereby realizing the reconstruction of the haptic signal. The method effectively solves the problems that the number of audio and video signals of a multi-modal dataset is insufficient, and semantic tags cannot be added to all the audio-visual signals in a training dataset by means of manual annotation. Also, the semantic association between heterogeneous data of different modals are better mined, and the heterogeneity gap between modals are eliminated.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: An apparatus includes: a receiver configured to: receive a downlink signal related to beam failure recovery, and receive a downlink reference signal; and a transmitter configured to, after receiving the downlink signal, transmit a first uplink signal on a first cell by using a first spatial filter identical to a second spatial filter receiving the downlink reference signal.