Abstract: A laterally diffused metal oxide semiconductor device and a preparation method thereof are disclosed. The semiconductor device includes: a substrate; a body region having a first conductivity type and formed in the substrate; a drift region, having a second conductivity type, formed in the substrate and adjacent to the body region; a field plate structure, formed on the drift region, a lower surface of an end of the field plate structure close to the body region being flush with the upper surface of the substrate, and the end of the field plate structure close to the body region also having an upwardly extending inclined surface; and a drain region, having a second conductivity type, formed in an upper layer of the drift region, and in contact with the end of the field plate structure away from the body region.

Abstract: A policy interpreter detects that an application container has been added in a container system, and opens a stored manifest for the application container. The policy interpreter retrieves running services information regarding the application container, and generates a security policy for the application container. The security policy defines a set of actions for which the application container can perform, and the set of actions are determined using the manifest and the running service information associated with the application container. The policy interpreter loads the security policy at a security container. The security container blocks an action performed by the application container in response to determining that the action performed by the application container does not match any action in the set of actions defined in the security policy. The policy interpreter transmits the security policy to a graphical user interface container for presentation to a user via a display device.

Abstract: An ultra-wideband electromagnetic band gap (EBG) structure includes multiple EBG units in an array. Each EBG unit includes a power plane, a dielectric substrate and a ground plane from top to bottom. The power plane includes a patch, a coupled complementary split ring resonator (C-CSRR) and a plurality of semi-improved Z-bridge structures. Each edge of the patch is provided with a semi-improved Z-bridge structure. The C-CSRR is provided within a ring formed by the semi-improved Z-bridge structures. The Z-bridge structure includes a first horizontal branch, a first vertical branch, a second horizontal branch and a second vertical branch connected in sequence. The second vertical branch is connected to the patch. First horizontal branches of adjacent EBG units are connected to each other. A circuit board including the aforementioned EBG structure is also provided.

Abstract: The present disclosure relates to polymers which contain a hydrophobic and hydrophilic segment which is sensitive to pH. In some aspects, the polymers form a micelle which is sensitive to pH and results in a change in fluorescence based upon the particular pH. In some aspects, the disclosure also provides methods of using the polymers for the imaging of cellular or extracellular environment or delivering a drug.

Abstract: Disclosed are a polyethylene glycol conjugate drug, and a preparation method therefor and the use thereof. Specifically, the present invention relates to a polyethylene glycol conjugate drug represented by formula A or a pharmaceutically acceptable salt thereof, a method for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, an intermediate for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, a pharmaceutical composition comprising the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, and the use of the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof in the preparation of a drug.

Abstract: A system and methods of forming a dielectric material within a trench are described herein. In an embodiment of the method, the method includes introducing a first precursor into a trench of a dielectric layer, such that portions of the first precursor react with the dielectric layer and attach on sidewalls of the trench. The method further includes partially etching portions of the first precursor on the sidewalls of the trench to expose upper portions of the sidewalls of the trench. The method further includes introducing a second precursor into the trench, such that portions of the second precursor react with the remaining portions of the first precursor to form the dielectric material at the bottom of the trench.

Abstract: A piston assembly for a compressor assembly is provided. The piston assembly has a piston and a valve sheet. The valve sheet is arranged at an end of the piston. The valve sheet has a valve sheet body with a mounting port, and a valve tongue connected to the valve sheet body. At least part of the valve tongue is arranged in the mounting port. At least part of a contour of the mounting port matches with a circumferential contour of one end of the piston close to the valve sheet.

Abstract: The present invention relates to the cross field of smart grid and artificial intelligence, provides a non-intrusive load monitoring method and device based on physics-informed neural network, comprising the following steps: Step 1, obtaining a total load data and an equipment load data of a building in a certain period of time, and using a sliding window method to cut to construct a training data. Step 2, designing a deep learning neural network model to learn the equipment load characteristics contained in the total load data, and outputting the equipment load forecasting. Step 3, based on a physics-constrained learning framework, training the deep learning neural network model by iteratively optimizing the training loss to obtain a trained physics-informed neural network model. Step 4, monitoring the equipment's power consumption in the building according to the output results of the physics-informed neural network model.

Abstract: The present invention relates to novel, selective, radiolabelled compound having monoacylglycerol lipase (MGL) affinity which are useful for imaging and quantifying MGL receptor expression, distribution and enzyme occupancy in tissues, using positron-emission tomography (PET). The invention is also directed to compositions comprising such compounds, the use of such compounds and compositions for imaging a tissue, cells or a host, in vitro or in vivo and to precursors of said compounds.

Abstract: The embodiments of the present disclosure disclose a schedule sharing method, apparatus, and device, the schedule sharing method includes: determining a schedule to be shared after detecting a trigger operation of a first user; and sending the schedule to be shared to a target object based on a share operation triggered the first user. The target object is a page or webpage accessed by a user having an access authority. When a second user views the schedule information of the schedule to be shared through the target object, the authority information of the second user with respect to the schedule to be shared is obtained, so that an operation control matching authority information of the second user is displayed on the page corresponding to the schedule to be shared, thereby allowing the second user to interact with the schedule to be shared through the operation control.

Abstract: A package structure including a semiconductor die, a redistribution circuit structure and an electronic device is provided. The semiconductor die is laterally encapsulated by an insulating encapsulation. The redistribution circuit structure is disposed on the semiconductor die and the insulating encapsulation. The redistribution circuit structure includes a colored dielectric layer, inter-dielectric layers and redistribution conductive layers embedded in the inter-dielectric layers. The electronic device is disposed over the colored dielectric layer and electrically connected to the redistribution circuit structure.

Abstract: A threat level analyzer probes for one or more threats within an application container in a container system. Each threat is a vulnerability or a non-conformance with a benchmark setting. The threat level analyzer further probes for one or more threats within a host of the container service. The threat level analyzer generates a threat level assessment score based on results from the probing of the one or more threats of the application container and the one or more threats of the host, and generates a report for presentation in a user interface including the threat level assessment score and a list of threats discovered from the probe of the application container and the host. A report is transmitted by the threat level analyzer to a client device of a user for presentation in the user interface.

Abstract: Disclosed are an arc discharge detection method and device for a battery system, and a battery energy storage system. The arc discharge detection method for a battery system comprises: sampling a terminal voltage and a charging and discharging current of a battery system, sampling the terminal voltage of the battery system twice and calculating a first voltage difference value, and sampling the terminal voltage of the battery system and a terminal voltage of an electricity load and calculating a second voltage difference value; performing time domain and frequency domain analysis on the sampled data to obtain corresponding time domain and frequency domain feature values; and on the basis of the time domain and frequency domain feature values and the first and second voltage difference values, determining whether arc discharge features are met, so as to determine whether an arc discharge fault occurs in the battery system.

Abstract: A ferroelectric memory device and a semiconductor die are provided. The ferroelectric memory device includes a gate electrode; a channel layer, overlapped with the gate electrode; source/drain contacts, in contact with separate ends of the channel layer; a ferroelectric layer, lying between the gate electrode and the channel layer; and a first insertion layer, extending in between the ferroelectric layer and the channel layer, and comprising a metal carbonitride or a metal nitride.

Abstract: A method and an apparatus of constructing a chess playing model are disclosed, method includes: acquiring a video image of each chess player; determining a two-dimensional position information for a first expression characterization point in the video image and a marking information for a facial structure characterization point in the first expression characterization point; determining a rotation information for each chess player in a specified direction; reconstructing a three-dimensional reference face model of each chess player so as to generate a three-dimensional target face model of the chess player; reconstructing a three-dimensional target chess player model of the chess player; reconstructing a three-dimensional target chess game model; and reconstructing a three-dimensional target chess playing model.

Abstract: The present disclosure provides a method, an apparatus, a medium and an electronic device for generating a round-table video conference. In the present disclosure, in response to the head instruction information of the participant, the scrolling starting number is determined from the round-table seat number sequence through the video of the current presenter, and the scrolling ending number is determined from the round-table seat number sequence through the video of the current speaker, thereby the scrolling sequence of the target seat numbers is obtained. According to the scrolling sequence, a manner of the virtual camera in the center of the round table being rotated and shooting is simulated, and the images of the participants queued between two points are scrolled and displayed, so that a virtual round-table conference scene is created in the video conference.

Abstract: The present invention relates to the field of smart grids, and provides a non-intrusive load monitoring method and device based on temporal attention mechanism. The method comprises the following steps: obtaining a total load data, an equipment load data, and corresponding sampling time of a building during a certain period of time; integrating the total load data and the equipment load data with the corresponding sampling time to obtain an enhanced total load data and an enhanced equipment load data; using a sliding window method to segment the enhanced total load data and the enhanced equipment load data, and constructing a deep learning training dataset; constructing a neural network model based on a deep learning training framework and training the model using the training dataset. The present invention can effectively extract the working time mode of the load and its inherent dependencies, thereby improving the accuracy of load monitoring.

Abstract: The present disclosure relates to polymers which contain a hydrophobic and hydrophilic segment which is sensitive to pH as well as a metal chelating group. In some aspects, the metal chelating group is chelated to a metal ion capable of positron emission. In some aspects, the polymers form a micelle which is sensitive to pH and results in a change in fluorescence based upon the particular pH. In some aspects, the disclosure also provides methods of using the polymers for the imaging of cellular or extracellular environment or delivering a drug.