Abstract: An optical film, a polarizer, and a display device are provided. The optical film includes a base material and adjusting particles dispersed in the base material. The optical film has an in-plane retardation value, and the in-plane retardation value of the optical film is less than 3000 nm.

Abstract: The present invention discloses a method, equipment, and readable storage medium for tracking and evaluating the life cycle EUR of horizontal wells, and relates to the field of oil and gas development technology. The present invention divides the life cycle stages of fractured horizontal wells in unconventional oil and gas reservoirs, provides corresponding EUR evaluation steps for different life cycle stages based on the production performance characteristics of fractured horizontal wells in unconventional oil and gas reservoirs in the drilling and fracturing stage, extraction and testing stage, rapid production decline stage, and low pressure and small volume production stage, and establishes the EUR tracking and evaluation process of fractured horizontal wells in unconventional oil and gas reservoirs throughout their life cycle from drilling to abandonment.

Abstract: Particulate material comprising rough mesoporous hollow nanoparticles. The rough mesoporous hollow nanoparticles may comprise a mesoporous shell, the external surface of which has projections thereon, the projections having smaller sizes than the particle size. The particulate material may be used to deliver active agents, such as insecticides and pesticides. The active agents can enter into the hollow core of the particles and be protected from degradation by sunlight. The rough surface of the particles retains the particles on plant leaves or animal hair. Methods for forming the particles are also described. Carbon particles and methods for forming carbon particles are also described.

Abstract: A method for forming dendritic mesoporous nanoparticles comprising preparing a mixture containing one or more polymer precursors, a silica precursor, and a compound that reacts with silica and reacts with the polymer or oligomer formed from the one or more polymer precursors, and stirring the mixture whereby nanoparticles are formed, and subsequently treating the nanoparticles to form dendritic mesoporous silica nanoparticles or dendritic mesoporous carbon nanoparticles. The silica precursor may comprise tetraethyl orthosilicate (TEOS), the one or more polymer precursors may comprise 3-aminophenol and formaldehyde and the compound may be ethylene diamine (EDA). There is a window of amount of EDA present that will result in asymmetric particles being formed. If a greater amount of EDA is present, symmetrical particles will be formed.

Abstract: Disclosed are a process parasitism-based branch prediction method and device for serverless computing, an electronic device, and a readable storage medium. The method includes: receiving a calling request of a user for a target function; when capacity expansion is required, scheduling a container executing the target function to a new server that has not executed the target function in a preset period of time, wherein a parasitic process is pre-added to a base image of the container; triggering the parasitic process when the container is initialized on the new server, the parasitic process being used for initiating a system call, and triggering a system kernel to select a target template function according to the type of the target function and copying the target template function N times; using execution data of the copied N target template functions as training data to train a branch predictor on the new server.

Abstract: A garden tool with a blowing function includes a housing having an air inlet; a blowing tube, connected with the housing, wherein the blowing tube is provided with an air outlet for air to be blown out; a fan, rotating around a fan axis, for making air flow and blowing the air out from the air outlet; and a motor, configured for driving the fan to rotate around the fan axis; wherein when the motor operates at a maximum rotational speed, blowing force F and noise LP of the garden tool with a blowing function satisfy following relationships: 16 N?F?23 N, and 53 dBA?LP<57 dBA; or 23 N<F?40 N, and 53 dBA?LP?0.0121F2?0.0603F+53.065 dBA.

Abstract: The invention relates to a method of processing graphene comprising the steps of: combining few-layer graphene with a poly(alkylene oxide); drying to form a graphene/poly(alkylene oxide) composite; and calcining the graphene/poly(alkylene oxide) composite thus formed in an inert atmosphere. The invention also relates to processed graphene comprising a few-layer feature, wherein the graphene further comprises one or more features selected from: in-plane nanopores with dimensions of from about 1.5 nm to about 3.5 nm; a greater than 50% expanded interlayer lattice; an expansion interlayer distance of greater than 3.40 ?; and an atomic O/C content of less than 4%. The invention further relates to cathodes and batteries comprising processed graphene, and the use of processed graphene in capacitive deionization or rechargeable battery applications.

Abstract: This invention provides a method for detecting an analyte in a sample, including a step of contacting said analyte with a nanoparticle to facilitate binding thereto, wherein the nanoparticle comprises: (i) a core; (ii) pores extending radially from said core and being defined by spaces between an array of dendritic spikes radiating outwardly from a surface of the core, wherein the pores have an average pore size of between about 10 nm and about 20 nm; (iii) a binding agent for binding the analyte; and (iv) a detection agent immobilized within said pores; to thereby detect said analyte. This invention also provides kits, compositions and products comprising said nanoparticle.

Abstract: Disclosed are a process parasitism-based branch prediction method and device for serverless computing, an electronic device, and a readable storage medium. The method includes: receiving a calling request of a user for a target function; when capacity expansion is required, scheduling a container executing the target function to a new server that has not executed the target function in a preset period of time, wherein a parasitic process is pre-added to a base image of the container; triggering the parasitic process when the container is initialized on the new server, the parasitic process being used for initiating a system call, and triggering a system kernel to select a target template function according to the type of the target function and copying the target template function N times; using execution data of the copied N target template functions as training data to train a branch predictor on the new server.

Abstract: A video data-based system for blood pressure prediction. The video data-based system for blood pressure prediction comprises: a first device and a cloud server, where the first device comprises a first master control module, a first camera, a lighting module, a display screen, and a first communication; the cloud server comprises a second master control module, a validity validation module, a parameter validation module, a data preprocessing module, an artificial intelligence blood pressure prediction module, and a second communication module. The use of the video data-based system for blood pressure prediction provided in the embodiments of the present disclosure obviates the need to wear any specific collecting device for the real-time detection and continuous monitoring of the blood pressure, thus reducing the difficulty of implementing the real-time detection and monitoring of a test subject, and enriching the application scenarios of photoplethysmography in the field of guardianship.

Abstract: A cantilever vertical screw vacuum pump is provided. The vacuum pump has a lubrication system, in the system, an oil splashing sleeve splashes lubricating oil in an oil chamber, the lubricating oil is splashed to the oil guide plates and enters two inner shaft sleeves through oil inlet holes, the lubricating oil is splashed by rotations of lower bearings to lubricate upper bearings and bearing gland oil seal assemblies. A fit between an oil baffle and a lower cover shaft sleeve is a clearance fit, and the oil baffle prevents the lubricating oil from entering a vertical motor. A pressure difference between screw rods is used to output reflux air from a near exhaust end of the screw rods, the reflux air is cooled in a coolant by a reflux cooling pipe, and the cooled reflux air is delivered to the screw rods to reduce an air temperature of the pump chamber.

Abstract: A method for processing synthetic features is provided, and includes: the synthetic features to be evaluated and original features corresponding to the synthetic features are obtained. A feature extraction is performed on the synthetic features to be evaluated based on a number S of pre-trained samples, to obtain meta features with S samples. S is a positive integer. The meta features are input into the pre-trained meta feature evaluation model for a binary classification prediction, to obtain a probability of binary classification. Quality screening is performed on the synthetic features to be evaluated according to the probability of the binary classification, to obtain second synthetic features to be evaluated. The second synthetic features are classified in a good category. The second synthetic features and original features are input into a first classifier for evaluation. classified in a poor category.

Abstract: A method for transfer learning includes: obtaining a pre-trained model, and generating a model to be transferred based on the pre-trained model, in which the model to be transferred includes N Transformer layers, and N is a positive integer; obtaining a mini-batch by performing random sampling on a target training set; and training the model to be transferred based on the mini-batch, in which a loss value for each Transformer layer is generated based on an empirical loss value and a noise stability loss value.

Abstract: The disclosure provides a multi-task deployment method, and an electronic device. The method includes: obtaining N first tasks and K network models, in which N and K are positive integers greater than or equal to 1; allocating the N first tasks to the K network models differently for operation, to obtain at least one candidate combination of tasks and network models, in which each candidate combination includes a mapping relation between the N first tasks and the K network models; selecting a target combination with a maximum combination operation accuracy from the at least one candidate combination; and deploying a target mapping relation comprised in the target combination and the K network models on a prediction machine.