Abstract: The present invention provides a multi-element, regionally doped, cobalt-free positive electrode material, which has a molecular formula of LixNiaMnbAlcMgdWeO2, wherein 0.95?x?1.1, 0.5?a?0.9, 0.1?b?0.5, 0?c?0.01, 0?d?0.01, 0?e?0.01, and a+b=1. The positive electrode material comprises an Al-doped region, an Mg-doped region and a W-doped region in an order from the inside to the outside. Also provided is a method of preparing the positive electrode material. The cobalt-free positive electrode material of the present invention can better adapt to a stress release by the positive electrode material regionally doped with Al, Mg, and W elements, achieving a moderate adjustment and avoiding imbalance, so that the material has more stable structure, and better rate performance and cycle performance. The method of preparing the material has a simple process, is easy to implement, and can stably prepare a positive electrode material with excellent structure and performance.

Abstract: A method of training and applying contrastive learning model. The method includes obtaining a sample set and label information for training contrastive learning model, the sample set including a plurality of first samples of a first modality and a plurality of second samples of a second modality, the label information indicating a correlation between samples of the plurality of first samples and samples of the plurality of second samples; determining whether sample mixing is to be performed on the first modality or the second modality; in accordance with a determination that sample mixing is to be performed on the first modality, generating at least one first mixed sample of the first modality by mixing at least one pair of first samples among the plurality of first samples; and training the contrastive learning model at least based on the at least one first mixed sample and first mixed label information.

Abstract: The present disclosure provides a method for photo-curing 4D printing of a multi-layer structure with an adjustable shape recovery speed, and a multi-layer structure printed thereby. The multi-layer structure printed by the method for photo-curing 4D printing of the multi-layer structure with the adjustable shape recovery speed includes a plurality of deformation units sequentially connected in series, and each of the plurality of the deformation units includes two slow layers, a fast layer, and a transition layer; and the fast layer is arranged between the two slow layers, and the transition layer is arranged between at least one of the two slow layers and the fast layer. In the present disclosure, a low cross-linking layer is doped with a nanocarbon light-absorbing material to solve the problem that the low cross-linking layer is prone to over-curing when a high cross-linking layer is printed on the low cross-linking layer.

Abstract: A method of contrastive learning comprises: determining, based on a model construction criterion, a first encoder for a first modality and a second encoder for a second modality; constructing a first contrastive learning model, the first contrastive learning model comprising the first encoder and a third encoder for the second modality, and a model capacity of the third encoder being greater than a model capacity of the second encoder; performing pre-training of the first contrastive learning model based on a first training dataset for the first modality and the second modality; and providing the pre-trained first encoder in the pre-trained first contrastive learning model for a downstream task. Because only the model capacity of one encoder is increased in the pre-training stage, model performance may be improved without increasing model training overhead during downstream task fine-tuning and model running overhead during model application.

Abstract: Methods, apparatuses, a device, and a medium for training a contrastive learning model are provided. In a method, a plurality of sample sets for training the contrastive learning model are obtained, and the plurality of sample sets comprises a first sample set and a second sample set. A first target sample set is selected from the first sample set and the second sample set according to a predetermined rule. A first set of samples are determined based on the first target sample set according to a predefined batch size. The contrastive learning model is trained using the first set of samples. In this way, on the one hand, performance degradation of the contrastive learning model due to sample set bias may be avoided; on the other hand, a forgetting problem in the training process may be alleviated.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: A calculation system for predicting a proppant embedding depth based on a shale softening effect is provided, including a sampling test terminal, a scheduling module, a monitoring module, and a calculation module, wherein the scheduling module, the monitoring module, and the calculation module are connected in communication, and the monitoring module is connected to an external operating system through a wireless network, wherein the external operating system is configured to perform a hydraulic fracturing operation and receive a first control signal and/or a second control signal from the monitoring module. The sampling test terminal is configured to test the samples and obtain test data. The scheduling module is configured to determine a target construction parameter.

Abstract: A detection device includes a frame, a transport mechanism, detection mechanisms, and a grasping mechanism. The transport mechanism includes a feeding line, a first flow line, and a second flow line arranged in parallel on the frame. The detection mechanisms are arranged on the frame and located on two sides of the transport mechanism. The grasping mechanism is arranged on the frame and used to transport workpieces on the feeding line to the detection mechanisms, transport qualified workpieces to the first flow line, and transport unqualified workpieces to the second flow line.

Abstract: A fan-out semiconductor device includes stacked semiconductor dies having die bond pads arranged in columns exposed at a sidewall of the stacked semiconductor dies. The stacked dies are encapsulated in a photo imageable dielectric (PID) material, which is developed to form through-hole cavities that expose the columns of bond pads of each die at the sidewall. The through-hole cavities are plated or filled with an electrical conductor to form conductive through-holes coupling die bond pads within the columns to each other.

Abstract: The embodiments of the present disclosure provide video shooting method and apparatus, electronic device and storage medium. The method comprises: receiving a first trigger operation for target content displayed in a target page, the target page comprising a webpage material display page and/or a video playing page; in response to the first trigger operation, acquiring a target picture containing the target content, starting a camera, and displaying a shooting page, wherein a preview picture of a target object acquired by the camera is displayed in the shooting page with the target picture as a background; receiving a video shooting operation acting in the shooting page; and in response to the video shooting operation, shooting a first video of the target object with the target picture as a video background.

Abstract: An identity certificate may be issued to a blockchain node. The issuance may include issuing a first identity certificate to a first terminal and receiving a second identity certificate issuance request that is from the first terminal. A second identity certificate may be issued to the first terminal, and a third identity certificate issuance request is received from the second terminal. A third identity certificate is issued to the second terminal, so that the second terminal forwards the third identity certificate to the third terminal.

Abstract: A water environment temperature measurement tool includes measurement boxes and a counterweight box; a plurality of groups of the measurement boxes are provided; the counterweight box is movably connected with a group of measurement boxes; and each measurement box is provided with a temperature measurement instrument inside. The water environment temperature measurement tool further comprises: control mechanisms, each comprising a water inlet pipe, a water retaining member, an elastic member, a control assembly, a rotating seat, a rotating shaft, a second screw rod, a control seat and a rotary assembly. In the water environment temperature measurement tool of the present invention, the control mechanisms can achieve extraction and temperature measurement of water at different water body depths by cooperating with the measurement boxes and the temperature measurement instruments.

Abstract: A method for preparing waterborne non-isocyanate polyurethane polymers is provided, and the compositions prepared thereby. A method for preparing waterborne non-isocyanate polyurethane epoxy hybrid coatings is also provided. In addition to coatings, the compositions of the present invention are useful as films, adhesives, and sealants.

Abstract: Embodiments of this disclosure include an encoding method and apparatus. The encoding may include obtaining a target paragraph and a context sentence of the target paragraph, and inputting the target paragraph and the context sentence into a memory encoding model. The encoding may further include obtaining an original vector set and a memory vector set in the input layer and obtaining a first target sentence matrix of the original vector set in the memory layer according to the original vector set and the memory vector set. The encoding may further include obtaining a paragraph vector of the target paragraph in the output layer according to the first target sentence matrix and performing processing based on the paragraph vector.

Abstract: A liquid explosive for in-situ explosive fracturing in low-permeability oilfields and application thereof are provided. The liquid explosive includes raw materials in parts by mass: a main explosive with positive oxygen balance, a guest regulator and isolation microcapsules; the main explosive with the positive oxygen balance includes raw materials in parts by mass: monomethylamine nitrate, ammonium nitrate, sodium nitrate, water, guar gum, sodium nitrite, a high-temperature resistant regulator with a low detonation velocity and a surfactant; the guest regulator includes raw materials in parts by mass: a reducing agent and a density regulator; the isolation microcapsules include raw materials in parts by mass: porous hollow microbeads, a pore plugging agent and wall materials of pressure-resistant microcapsules; the guest regulator exists in the porous hollow microbeads of the isolation microcapsules.

Abstract: The present disclosure provides a method for generating a backbone network, an apparatus for generating a backbone network, a device, and a storage medium. The method includes: acquiring a set of a training image, a set of an inference image, and a set of an initial backbone network; training and inferring, for each initial backbone network in the set of the initial backbone network, the initial backbone network by using the set of the training image and the set of the inference image, to obtain an inference time and an inference accuracy of a trained backbone network in an inference process; determining a basic backbone network based on the inference time and the inference accuracy of the trained backbone network in the inference process; and obtaining a target backbone network based on the basic backbone network and a preset target network.

Abstract: A powder-based three-dimensional printing (3DP) method, device and system, and a computer-readable storage medium. The method includes: analyzing printing images of layers corresponding to a part to be printed to determine a target print image and adding a preset mark to the target print image which includes a print image of a target layer that causes a previous powder layer of the target layer to displace during printing; acquiring an image to be printed of a current layer to be printed; identifying the image to be printed to determine whether the preset mark exists on the image to be printed; and if yes, processing the current layer to be printed and/or a previous powder layer of the current layer to be printed such that the previous powder layer of the current layer does not move with powder spreading of the current layer.

Abstract: A digital assistant supported on devices such as smartphones, tablets, personal computers, game consoles, etc. includes an extensibility client that exposes an interface and service that enables third party applications to be integrated with the digital assistant so the application user experiences are rendered using the native voice of the digital assistant. Specific voice inputs associated with a given application may be registered by developers using a manifest that is loaded when the application is launched on the device so that voice inputs from the device user can be mapped by the digital assistant extensibility client to the appropriate application as input events for consumption. In typical implementations, the manifest is arranged as a declarative document that streamlines application development and provides a seamless user experience by enabling customization of third party applications to integrate the digital assistant's voice and behaviors within the user experience of the application's domain.

Abstract: This invention relates to sequence specific electrochemically-labeled oligonucleotide probes for the detection of nucleic acids and methods associated therewith.

Abstract: A robotic arm includes: a robotic arm main body; a carrying component connected to the robotic arm main body; a driving motor; and a controller connected to the driving motor. The controller is configured to generate a control signal that controls the driving motor to drive the carrying component to move. Along with a movement of the carrying component and under actions of a friction and the gravity, a target object placed on the carrying component slides on an upper surface of the carrying component and slides away from the carrying component at a target position at a target speed.