Abstract: The present disclosure relates to a system and a method. The system may include a magnetic resonance imaging (MRI) apparatus configured to acquire MRI data with respect to a region of interest (ROI) and a therapeutic apparatus configured to apply therapeutic radiation to at least one portion of the ROI. The MRI apparatus may include a plurality of main magnetic coils arranged coaxially along an axis, a plurality of shielding magnetic coils arranged coaxially along the axis, and a cryostat in which the plurality of main magnetic coils and the plurality of shielding magnetic coils are arranged.

Abstract: A method in one embodiment includes receiving, at an edge device, new data for training a model, the edge device having stored distilled data used to represent historical data to train the model, the historical data being stored in a remote device, and the amount of the historical data being greater than the amount of the distilled data. The method further includes training the model based on the new data and the distilled data. With the data processing solution of this embodiment, the model can be trained at the edge device with fewer storage resources based on the distilled data, thereby achieving higher model accuracy.

Abstract: Systems and methods of the present disclosure enable database search. The systems and/or methods may include receiving a search query that includes an input document having text. Word embeddings are generated within the input document, where the word embeddings include vector representations of words in the text of the input document. An average input document word embedding vector is determined for the word embeddings of the input document. A set of stored documents is accessed, where each stored document includes a stored text has a particular average stored document word embedding vector. A similarity model is used to determine a similarity metric measuring the similarity between the input document and each stored document based on the average input document word embedding vector and the particular average stored document word embedding vector of each stored document.

Abstract: Disclosed in the present application are a method for improving performance of a low-intermediate frequency receiver, a storage medium, and a receiver. The method comprises: selecting a local oscillator signal from a preset local oscillator frequency set as an initial local oscillator signal to perform frequency mixing processing on an input signal, so as to obtain a low-intermediate frequency signal comprising a low-intermediate frequency useful signal and a low-intermediate frequency interference signal; determining whether an energy ratio of the low-intermediate frequency interference signal to the low-intermediate frequency useful signal is greater than a first preset ratio; and if the energy ratio is greater than the first preset ratio, selecting another local oscillator frequency from the preset local oscillator frequency set as the current local oscillator signal to process the input signal.

Abstract: A method and a device for performing special effect processing on an image, an electronic apparatus, and a computer-readable storage medium are provided. The method includes: acquiring a video; arranging a preset movable window on the video, where the window moves on the video; determining a current image based on a current play progress of the video; acquiring, from a data storage layer by an image acquisition unit of a rendering layer, a historical image when the window is moved to a preset position; combining the historical image and the current image by an animation logic processing unit of a script layer and a special effect unit of the rendering layer; and outputting the combined image and displaying the combined image on a terminal screen.

Abstract: In implementations of image-based searches for templates, a computing device implements a search system to generate an embedding vector that represents an input digital image using a machine learning model. The search system identifies templates that include a candidate digital image to be replaced by the input digital image based on distances between embedding vector representations of the templates and the embedding vector that represents the input digital image. A template of the templates is determined based on a distance between an embedding vector representation of the candidate digital image included in the template and the embedding vector that represents the input digital image. The search system generates an output digital image for display in a user interface that depicts the template with the candidate digital image replaced by the input digital image.

Abstract: An artificial tanzanite comprises aluminosilicate and vanadium, wherein the content of the aluminosilicate is in a range from 1 mass % to 30 mass % and the content of the vanadium is in a range from 1000 ppm to 40000 ppm. The artificial tanzanite is prepared by a method comprising: providing a synthetic raw material, wherein the synthetic raw material comprises the aluminosilicate, silicon-containing oxide, vanadium-containing oxide, and calcium-containing salt; and heating the synthetic raw material to a synthetic temperature, and keeping the synthetic raw material under a synthetic pressure to carry out synthetic reaction to form the artificial tanzanite after a period of synthetic time.

Abstract: Disclosed is a software PUF based on an RISC-V processor for IoT security. A 32-bit RISC-V processor is used to generate abnormal information results in an abnormal operating state under a low voltage, and the abnormal information results are used to represent the features of the 32-bit RISC-V processor; 5-bit binary data obtained by comparing the abnormal information results with normal information results has high randomness and uniqueness and it is extremely difficult to directly extract internal abnormal information result from a hardware circuit of the 32-bit RISC-V processor, so modeling attacks based on the 5-bit binary data calculated according to the abnormal information results of the 32-bit RISC-V processor are almost impossible; in addition, when the 32-bit RISC-V processor is in an abnormal operating state, the operating frequency of the 32-bit RISC-V processor is dynamically adjusted through a frequency compensation method.

Abstract: This application discloses a band-pass concentrator (BPC) for visible light communications (VLC) and a VLC system. The BPC includes a housing. A cavity is disposed in the housing, and the cavity is filled with a dielectric. A light entrance that presents a concave spherical surface and that is recessed towards the cavity is disposed on a side of the housing, a light exit is disposed on a side of the housing that is opposite to the light entrance, and a side of the light exit that is away from the cavity is configured with dielectric multilayers that has a filtering function. Compared with a conventional CPC, the BPC implement the larger field of view, higher optical gain, reduced mass, and filtering function. The VLC system using the as-proposed BPC clearly increase the communications distance, bandwidth, and receiving field of view, and reduce the overall complexity and costs.

Abstract: A composition can be used to treat water containing nitrogen compounds and phosphorus compounds. The composition includes iron filings, clay particles, aluminum particles, and sand particles. The iron filings, clay particles, and aluminum particles act to remove nitrogen compounds and phosphorus compounds from water. Specifically, the clay particles attract the nitrogen compounds and the phosphorus compounds to be absorbed onto a surface of the iron filings and the clay particles. The aluminum particles react with the nitrogen compounds via an oxidation reaction to form ammonia compounds and react with the phosphorus compounds to produce aluminum phosphate. The relationship between the iron filings, clay particles, and aluminum particles remove nitrogen and phosphorus compounds from water and recover the compounds in usable forms, namely, ammonia and aluminum phosphate.

Abstract: Disclosed are a noodle cutter assembly and a dough extruder. The noodle cutter assembly includes: a rotary bracket including a first support arm and a second support arm opposite to each other, a bracket axis being arranged on a same side of the first support arm and the second support arm, the first support arm and the second support arm being both extended along a circumferential direction of the support axis, the rotary bracket being configured for sleeving an outer side of a noodle out-coming die and rotating relative to the noodle out-coming die; and a noodle cutter connected between the first arm and the second arm, and configured for sliding and abutting on outer edges of noodle out-coming holes.

Abstract: The present disclosure is related to a microwave source. The microwave source may include a cathode heater and a thermionic emitter. The cathode heater may include a first component, and a second component enclosing at least a portion of the first component. The thermionic emitter may be configured to release electrons when the thermionic emitter is heated by the cathode heater. At least a portion of the second component of the cathode heater may be in contact with the thermionic emitter.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for information processing. In an information processing method, based on multiple weights corresponding to multiple words in text, a computing device determines a target object associated with the text among predetermined multiple objects, and also determines, among the multiple words, a set of key words with respect to the determination of the target object. Next, the computing device determines, among the set of key words, a set of target words related to a text topic of the text. Then, the computing device outputs the set of target words and an identifier of the target object in an associated manner. In this way, the credibility of the target object associated with the text that is determined by the information processing method is improved, thereby improving the user experience of the information processing method.

Abstract: A method for verifying an integrated circuit (IC) design described in a hardware description or hardware verification language (HDHVL) is provided. The method includes identifying connections between random variables and coverage areas of the IC design, as described in HDHVL code, the connections being identified by determining which coverage areas of the IC design will be influenced during simulation by which random variables. The method can further include storing the identified connections in a database, and using, by a processor, connections retrieved from the database to simulate and verify the coverage areas of the IC design.

Abstract: Techniques for generating a natural language question template for an artificial intelligence question and answer (QA) system are disclosed. A graph database query relating to a QA system is parsed using a predefined schema. The parsing includes extracting a first plurality of values from the graph database query relating to a where clause in the graph database query, extracting a second plurality of values from the graph database query relating to a return clause in the graph database query, identifying a QA template rule relating to the graph database query, based on a match clause in the graph database query. A natural language question template is generated based on the first plurality of values, the second plurality of values, and the identified QA template rule. The natural language question template is suitable for use by the QA system as part of generating a response to a natural language question.

Abstract: The present disclosure provides an image sensor, which may include a driving layer, a negative electrode layer formed in the driving layer, a N-region layer formed above the negative electrode layer. The N-region layer includes multiple cylindrical structures formed of semiconductor materials. The image sensor may also include a light absorption layer formed above the N-region layer. The light absorption layer is composed of a multi-layer structure including a P-region layer formed using quantum dot semiconductor materials. The image sensor may further include a positive electrode layer formed above the light absorption layer and configured to receive incoming light signals.

Abstract: A method for producing adipic acid and cyclohexanone oxime from cyclohexane is provided. Cyclohexane and NOx undergo oxidation-nitration reaction to produce a mixture of adipic acid, nitrocyclohexane, nitrogen oxides and by-product A, from which adipic acid and nitrocyclohexane are separated. The nitrocyclohexane is catalytically hydrogenated with hydrogen to produce cyclohexanone oxime and a small amount of cyclohexylamine, where cyclohexanone oxime is collected, and the cyclohexylamine is partially oxidized with molecular oxygen to obtain cyclohexanone oxime and by-product B. Without separation, or after removing part or all of water from the reaction mixture, under the action of a catalyst, the reaction mixture undergoes hydrogenation and amination simultaneously or sequentially, or the hydrogenation alone, and separation to give cyclohexanone oxime.

Abstract: A method for adaptive reconstruction of a compressively sensed data. The method contains the steps of receiving sensed data; conducting an initial reconstruction to the sensed data to obtain a plurality of first reconstruction patches; by a reconstruction module, conducting a progressive reconstruction to the sensed data to obtain a plurality of second reconstruction patches; summing the plurality of second reconstruction patches with the a plurality of first reconstruction patches to obtain final patches; and merging the final patches to obtain a reconstructed data. The progressive reconstruction further contains concatenating transformer features and convolution features to obtain the second reconstruction patches. The invention provides a hybrid network for adaptive sampling and reconstruction of CS, which integrates the advantages of leveraging both detailed spatial information from CNN and the global context provided by transformer for enhanced representation learning.