Abstract: Methods and apparatus for processing a substrate are provided herein. For example, a matching network for use with a plasma processing chamber comprises an input configured to connect to a power source, an output configured to connect to the plasma processing chamber, a V/I sensor connected between the input of the matching network and an output of the power source, a load capacitor connected in parallel with at least one capacitor connected in series with a load switch, a tuning capacitor connected in series with at least one capacitor connected in parallel with a tuning switch, and a multiple level pulsing phase/magnitude module connected to the V/I sensor and to a multiple level pulsing synchronization switch driver connected to each of the load switch and the tuning switch for activating at least one of the load switch and the tuning switch in response to a control signal, which is based on a V/I sensor measurement, received from the power source.

Abstract: Disclosed are a neodymium-iron-boron magnet material, a raw material composition, a preparation method therefor and a use thereof. The raw material composition of the neodymium-iron-boron magnet material comprises the following components by mass percentage: 29.5-32.8% of R?, wherein R? includes Pr and Nd, and Pr?17.15%; Al?0.5%; 0.90-1.2% of B; and 60-68% of Fe. The percentages are the mass percentages relative to the total mass of the raw material composition of the neodymium-iron-boron magnet material. Without adding a heavy rare earth element to the neodymium-iron-boron magnet material, the performance of the neodymium-iron-boron magnet material can still be significantly improved.

Abstract: An RIB-based permanent magnet material, a preparation method thereof, and an application thereof. The RIB-based permanent magnet material comprises the following components: R?: 29.5 to 33.5 wt. %, wherein R? comprises Pr, and the content of Pr is ?8.85 wt. %; C:0.106 to 0.26 wt. %; O: ?0.07 wt. %; X: 0 to 5.0 wt. %, wherein X is one or more of Cu, Al, Ga, Co, Zr, Ti, Nb and Mn; B:0.90 to 1.2 wt. %; and Fe:61.4 to 69.5 wt. %. The RIB-based permanent magnet material can improve the performance of a permanent magnet material without employing heavy rare earths. There is no need to control the content of carbon introduced in the process, and the magnet exhibits excellent performance even with a high carbon content.

Abstract: Disclosed are a neodymium-iron-boron magnet material, a raw material composition, a preparation method therefor and a use thereof. The raw material composition of the neodymium-iron-boron magnet material comprises the following components by mass percentage: 29.5-32% of R?, wherein R? is a rare earth element and includes Pr and Nd; and Pr?17.15%; 0.25-1.05% of Ga; 0.9-1.2% of B; and 64-69% of Fe. Without adding a heavy rare earth element to the neodymium-iron-boron magnet material, the remanence and coercive force of the resulting neodymium-iron-boron magnet material are both relatively high.

Abstract: An R-T-B permanent magnet material and a preparation method therefor and a use thereof. The R-T-B permanent magnet material comprises the following components: R?, which is between 29.5 wt. % and 33.0 wt. %, the R comprising R, Pr, and Nd, R being a rare earth element other than Pr and Nd, the Pr content being greater than or equal to 8.85 wt. %, the mass ratio of Nd to R being less than 0.5; N, which is greater than 0.05 wt. %, and less than or equal to 4.1 wt. %, the N being Ti, Zr, or Nb; B, which is between 0.90 wt. % and 1.2 wt. %; and Fe, which is between 62.0 wt. % and 68.0 wt. %. A sintered permanent magnet product having a high coercive force and a stable temperature coefficient is prepared by using a formulation having a high Pr content. The described formulation can maximally exert the advantage of Pr, and effectively reduce production costs.

Abstract: Disclosed are a neodymium-iron-boron magnet material, a raw material composition and a preparation method therefor and a use thereof. The raw material composition of the neodymium-iron-boron magnet material comprises the following components by mass percentage: 29.5-32% of R?, wherein R? is a rare earth element and includes Pr and Nd; and Pr?17.15%; Cu?0.35%; 0.9-1.2% of B; 64-69.2% of Fe. The percentages refer to the mass percentages relative to the total mass of the raw material composition of the neodymium-iron-boron magnet material. Without the addition of a heavy rare earth element, the neodymium-iron-boron magnet material can still have a high remanence and coercive force.

Abstract: A device for controlling a fluid flow comprises: a housing) with which at least a first connection port, a second connection port and a third connection port are fluidly communicated; a closure means disposed within the housing; and a rotatable actuation means configured to selectively open or close the first connection port, the second connection port and the third connection port by operating the closure means; wherein the actuation means is configured to have at least five rotation positions such that the device can achieve at least five respective different fluid flow states. Also disclosed is a set for a peritoneal dialysis comprising such a device. The device is particularly suitable to be used as a patient connector for a continuous ambulatory peritoneal dialysis (CAPD), which connector is particularly suitable for use in Point-of-Care (POC) CAPD to manage preparation of CAPD solution and use of the CAPD solution.

Abstract: A semantic-based method and apparatus for retrieving a perspective image, an electronic device and a computer-readable storage medium are provided. An method includes obtaining a perspective image for a space containing an inspected object therein. A semantic division on the perspective image is performed using a first method, to obtain a plurality of semantic region units. A feature extraction network is constructed using a second method. Based on the perspective image and each of the plurality of semantic region units, a feature of each semantic region unit is extracted using the feature extraction network. Based on the feature of each semantic region unit, an image most similar to the semantic region unit is retrieved from an image feature database, to assist in determining an inspected object in the semantic region unit.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a plurality of model representations of predictive models, each model representation associated with a respective user and expresses a respective predictive model, and selecting a model implementation for each of the model representations based on one or more system usage properties associated with the user associated with the corresponding model representation.

Abstract: A drying block structure is provided, including a main body and a protective layer. The main body has a honeycomb and substantially circular shape. The protective layer covers the main body and has a porous structure. The main body and the protective layer are integrally formed as one piece.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a plurality of different types of predictive models using training data, wherein each of the predictive models implements a different machine learning technique. One or more weights are obtained wherein each weight is associated with an answer category in the plurality of examples. A weighted accuracy is calculated for each of the predictive models using the one or more weights.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for score normalization. One of the methods includes receiving initial training data, the initial training data comprising initial training records, each initial training record identifying input data as input and a category as output. The method includes generating a first trained predictive model using the initial training data and a training function. The method includes generating intermediate training records by inputting input data of the initial training records to a second trained predictive model, the second trained predictive model generated using the training function, each intermediate training record having a score. The method also includes generating a score normalization model using a score normalization training function and the intermediate training records.

Abstract: A network device enables browsing of a plurality of pre-defined VMs associated with IoT devices. The network device receives, from a user device, selection of a first pre-defined VM from the plurality of pre-defined VMs, wherein the first pre-defined VM includes at least one first device state and at least one first sensor type, and receives, from the user device, instructions to modify the first pre-defined VM, by adding an additional device state or an additional sensor type to the first pre-defined VM or by removing the at least one first device state or the at least one first sensor type from the first pre-defined VM, to create a first customized VM associated with a first physical IoT device. The network device stores the first customized VM in a database, and uses the first customized VM for accessing or controlling the first physical IoT device.

Abstract: The present invention relates to a novel Ledipasvir (LDV) crystal form and a preparation method thereof. Specifically, disclosed is an LDV solvate. The solvate is a solvate formed by LDV and a solvent A and/or a solvent B, wherein the solvent A is acetonitrile or acetone; and the solvent B is methyl tertiary butyl ether (MTBE). Also disclosed are a preparation method and an application of the solvate. The solvate has a high purity, a good crystallization property, and better optical stability. The preparation method is simple and the process is stable. The solvate can significantly improve quality control and industrial applications of LDV-containing drugs.

Abstract: The present disclosure provides a method and a system for inspecting goods. The method includes the steps of: obtaining a transmission image and a HSCODE of inspected goods; processing the transmission image to obtain a region of interest; retrieving from a model library a model created based on the HSCODE, in accordance with the HSCODE of the inspected goods; and determining whether there are any goods not registered in a customs declaration that are contained in the region of interest based on the model. With the above solution, it is possible to inspect goods in a container efficiently, so as to find out whether there are goods not indicated in the customs declaration that are concealed in the container.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a plurality of model representations of predictive models, each model representation associated with a respective user and expresses a respective predictive model, and selecting a model implementation for each of the model representations based on one or more system usage properties associated with the user associated with the corresponding model representation.

Abstract: An inspection device and a method for detecting a firearm are disclosed. X-ray inspection is performed on an inspected object to obtain a transmission image. A plurality of candidate regions in the transmission image are determined using a trained firearm detection neural network. The plurality of candidate regions are classified using the firearm detection neural network to determine whether there is a firearm included in the transmission image. With the above solution, it is possible to determine more accurately whether there is a firearm included in a container/vehicle.

Abstract: The present invention relates to a novel Ledipasvir (LDV) crystal form and a preparation method thereof. Specifically, disclosed is an LDV solvate. The solvate is a solvate formed by LDV and a solvent A and/or a solvent B, wherein the solvent A is acetonitrile or acetone; and the solvent B is methyl tertiary butyl ether (MTBE). Also disclosed are a preparation method and an application of the solvate. The solvate has a high purity, a good crystallization property, and better optical stability. The preparation method is simple and the process is stable. The solvate can significantly improve quality control and industrial applications of LDV-containing drugs.

Abstract: Methods of preparing Ledipasvir and derivatives thereof, and intermediate compounds used in the preparation of Ledipasvir are provided. Specifically, a method for preparing the compounds of formula 1 and a series of preparation methods of preparing Ledipasvir are provided. The methods described herein are simple and efficient, and have better application prospects.

Abstract: A network device enables browsing of a plurality of pre-defined VMs associated with IoT devices. The network device receives, from a user device, selection of a first pre-defined VM from the plurality of pre-defined VMs, wherein the first pre-defined VM includes at least one first device state and at least one first sensor type, and receives, from the user device, instructions to modify the first pre-defined VM, by adding an additional device state or an additional sensor type to the first pre-defined VM or by removing the at least one first device state or the at least one first sensor type from the first pre-defined VM, to create a first customized VM associated with a first physical IoT device. The network device stores the first customized VM in a database, and uses the first customized VM for accessing or controlling the first physical IoT device.