Abstract: An electrode for use in energy storage devices including an electrode film formed from an electrode film mixture including water and a solvent additive, and methods thereof, are disclosed. The electrode utilizing water and a solvent additive may aid in reducing compressive stress, creases and/or curvature during formation, thereby achieving improved electrode shape and/or strength.

Abstract: A method for forming an electrode active material comprising mixing a lithium source and an active material precursor utilizing homogenization and sintering processes, and products thereof, are disclosed. Such a method utilizing large lithium source particles removes the need for milling lithium source particles, thereby achieving a cost-effective and simplified electrode active material production process.

Abstract: Generally described, one or more aspects of the present disclosure relate to methods, systems, and devices related to pre-straining bare lanes of a multilane electrode with a system for calendering a multilane electrode including a pre-strain roll device including a plurality of pre-strain rollers and a pressure roller forming a pre-strain nib and a calender roll device comprising a pair of calendering rollers forming a calendering nip positioned downstream from the pre-strain roll device.

Abstract: Disclosed is a low-odor soft PVC material. The material comprises the following components in parts by weight: 100 parts of a PVC resin, 60-125 parts of a plasticizer, 2-10 parts of a heat stabilizer, 10-50 parts of a filler, 0-2 parts of an antioxidant, 0.02-0.06 parts of a lubricant and 0.5-1 parts of a deodorant. The PVC resin has a degree of polymerization of lower than 1300; and the deodorant comprises nano calcium carbonate and zinc ricinoleate. By selecting a PVC resin with a low degree of polymerization and a deodorant with a high deodorizing efficiency, the low-odor soft PVC material of the present invention reduces odors from the source, has a small overall impact on the appearance and performance of automotive interior parts, and is low in cost and suitable for large-scale production.

Abstract: A battery electrode includes a first metal foil, a second metal foil, and a thermoplastic polymer layer between the first metal foil and the second metal foil. The battery electrode also includes a first coating adjacent to the first metal foil such that the first metal foil is between the thermoplastic polymer layer and the first coating. The battery electrode also includes a second coating adjacent to the second metal foil such that the second metal foil is between the thermoplastic polymer layer and the second coating.

Abstract: An interactive system includes a display, and the a display method for the interactive system includes: determining a display area and an extension area that are obtained by dividing the display; generating event information based on an operation performed by a user on the extension area; and responding, in the display area based on the event information, to an operation corresponding to the event information.

Abstract: Disclosed is a reinforced polypropylene material, comprising in parts by weight: a, 10-90 parts of polypropylene resin, b, 0.5-25 parts of compatilizer, c, 5-60 parts of reinforced fibers and d, 0.1-20 parts of low-hardness toner. The reinforced fibers comprise a component I, a component II and a component III, where the component I is composed of reinforced fibers with a length of 0.1-0.6 mm and accounts for 35-50% of number of reinforced fibers, the component II is composed of reinforced fibers with a length of 0.7-1.3 mm and accounts for 35-45% of number of reinforced fibers, and component III is composed of reinforced fibers with a length of 1.4-2.0 mm and accounts for 5-20% of number of reinforced fibers.

Abstract: The present invention belongs to the technical field of quantum-dot diffusion plates, and particularly relates to a quantum-dot diffusion plate, and a preparation method therefor and the application thereof. The quantum-dot diffusion plate comprises a diffusion layer, a quantum dot layer and a transparent layer, wherein the quantum dot layer is arranged between the diffusion layer and the transparent layer. The design of the diffusion layer and the transparent layer, which are respectively at the upper portion and lower portion, can ensure that quantum dots are protected by the upper and lower layers as well as ensuring a lighting effect of the diffusion plate, thereby preventing the quantum dots from inactivation caused by the impact of external factors during the use and storage of the quantum dots, and improving the brightness retention rate.

Abstract: A non-intrusive interaction method includes an electronic device that obtains a description file of an application, where the description file indicates a function to be implemented by the application, and is defined using a non-intrusive protocol description; determines a first component based on the description file, where the first component is a component that is in components of the electronic device and that can implement the function that needs to be implemented by the application, and the component is configured based on a non-intrusive protocol to provide a device capability service and can implement an independent function; and runs, based on the description file to provide the device capability service for the application, the first component to implement the function.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: A non-intrusive interaction method includes an electronic device that obtains a description file of an application, where the description file indicates a function to be implemented by the application, and is defined using a non-intrusive protocol description; determines a first component based on the description file, where the first component is a component that is in components of the electronic device and that can implement the function that needs to be implemented by the application, and the component is configured based on a non-intrusive protocol to provide a device capability service and can implement an independent function; and runs, based on the description file to provide the device capability service for the application, the first component to implement the function.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: A battery electrode includes a first metal foil, a second metal foil, and a thermoplastic polymer layer between the first metal foil and the second metal foil. The battery electrode also includes a first coating adjacent to the first metal foil such that the first metal foil is between the thermoplastic polymer layer and the first coating. The battery electrode also includes a second coating adjacent to the second metal foil such that the second metal foil is between the thermoplastic polymer layer and the second coating.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems and methods describe techniques that search videos and media content to determine the presence of unknown objects, generate novel detectors trained to identify the unknown objects, and apply the novel detectors to historical media content to identify previous appearances of the unknown objects.

Abstract: A specific solution includes: obtaining, by a terminal, current scenario information; matching the current scenario information against one or more prompt rules; and when determining that the current scenario information matches a first prompt rule, displaying a first prompt message corresponding to the first prompt rule, to prompt that there is a recommended application in a scenario corresponding to the current scenario information; displaying, in response to a first operation performed by a user on the first prompt message, a first recommendation interface that includes a recommendation item of an application prompted by the first prompt message; and displaying an interface of a first application in response to a selection operation performed by the user on a first recommendation item in the first recommendation interface.

Abstract: The present invention discloses a compound as a sodium channel regulator, and this type of compound can effectively inhibit and block the activity of Nav1.8 ion channel, a subtype of voltage-gated sodium channels, and can be used as a specific Nav1.8 inhibitor and to prepare drugs for the treatment of pain diseases mediated by Nav1.8 such as of intestinal pain, neuropathic pain, musculoskeletal pain, acute pain, inflammatory pain, cancer pain, primary pain, multiple sclerosis, Charcot-Marie-Tooth syndrome, incontinence, and cardiac arrhythmia, with broad application prospects.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems comprise an integrated detection unit configured to record media content, identify preferred content, and communicate the identifications of preferred content for storage in a computationally efficient manner.

Abstract: Disclosed is a reinforced polypropylene material, comprising in parts by weight: a, 10-90 parts of polypropylene resin, b, 0.5-25 parts of compatilizer, c, 5-60 parts of reinforced fibers and d, 0.1-20 parts of low-hardness toner. The reinforced fibers comprise a component I, a component II and a component III, where the component I is composed of reinforced fibers with a length of 0.1-0.6 mm and accounts for 35-50% of number of reinforced fibers, the component II is composed of reinforced fibers with a length of 0.7-1.3 mm and accounts for 35-45% of number of reinforced fibers, and component III is composed of reinforced fibers with a length of 1.4-2.0 mm and accounts for 5-20% of number of reinforced fibers.