Abstract: A first set of features associated with a neural network are parameterized. A decision tree is generated from the first set of features. One or more adjustments for the neural network are received at the decision tree. A second set of features associated with the adjustments at the decision tree are parameterized. The parameterized first and second set of features are combined into a plurality of parameters. From the plurality, an adjusted neural network is generated.

Abstract: A transformer includes a bobbin and a plurality of coils wound on the bobbin. The plurality of coils includes a first primary coil; a second primary coil, located above the first primary coil and electrically connected to the first primary coil; a secondary coil, located between the first primary coil and the second primary; a first auxiliary coil, located above the second primary coil; and a second auxiliary coil, located on the first auxiliary coil and electrically connected to the first auxiliary coil.

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate abnormal document self-discovery. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an object detection component that can generate a knowledge graph with vectors corresponding with nodes representative of a page layout of a document. Additionally, the computer executable components can comprise an evaluation component that can compare the vectors to identify whether an edge is present between corresponding vectors of the knowledge graph; an encoder component that can re-code the knowledge graph; and a comparison component that can compare a structure of the knowledge graph with one or more other knowledge graphs corresponding to one or more other documents to determine if the document is abnormal.

Abstract: Systems and methods of mitigating Coulomb effect in a multi-beam apparatus are disclosed. The multi-beam apparatus may include a charged-particle source configured to generate a primary charged-particle beam along a primary optical axis, a first aperture array comprising a first plurality of apertures having shapes and configured to generate a plurality of primary beamlets derived from the primary charged-particle beam, a condenser lens comprising a plane adjustable along the primary optical axis, and a second aperture array comprising a second plurality of apertures configured to generate probing beamlets corresponding to the plurality of beamlets, wherein each of the plurality of probing beamlets comprises a portion of charged particles of a corresponding primary beamlet based on at least a position of the plane of the condenser lens and a characteristic of the second aperture array.

Abstract: A system and method for table conversion including converting a table containing text in tabular form to an image, labeling each text area of the image with a bounding box, determining for each bounding box, a position information, a semantic information, and an image information, reconstructing the image into a graph form having a plurality of nodes, wherein each node represents the bounding box of the text areas of the image, inputting at least two nodes into a trained neural network to determine a relative relationship between the at least two nodes, building a knowledge graph using the relative relationship of the at least two nodes, and translating the knowledge graph into machine readable natural language.

Abstract: A method, computer program product, and computer system for generating and using a basic state layer. N task models are provided (N?2). Each task model was trained on a same pre-trained backbone model. Each task model includes M feature layers and a task layer (M?1). Each feature layer of each task model includes a parameter matrix that is different for the different models. An encoder-decoder model is trained. The encoder-decoder model includes sequentially: an input layer, an encoder, M hidden layers, a decoder, and an output layer. The encoder is a neural network that maps and compresses the parameter matrices in the input layer into the M hidden layers, which generates a basic state model. The decoder is a neural network that receives the basic state model as input and generates the output layer to be identical to the input layer.

Abstract: An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory.

Abstract: A first aspect of the present invention provides a method for the preparation of 2-chloro-5-chloromethylpyridine, comprising: performing a cyclization reaction on 4,5-dichloro-4-methoxypentanenitrile in presence of a silicon compound and an acylamide compound to obtain 2-chloro-5-chloromethylpyridine. Another aspect of the present invention provides a method for preparation of 2-(chloromethyl)-5-(trifluoromethyl)-1,3,4-oxadiazole, comprising: performing a cyclization reaction on 1-(chloroacetyl)-2-(trifluoroacetyl)hydrazine in a presence of a silicon compound and an acylamide compound to obtain 2-(chloromethyl)-5-(trifluoromethyl)-1,3,4-oxadiazole. The silicon compound or/and acylamide compound provided by the present invention serve as cyclization reagents and have high efficiency.

Abstract: Using labelled training content, a content classification model is trained. Using the trained content classification model, a label describing a first content is determined. The first content is classified into a category in a set of categories using the label. Responsive to the first content being classified into a category of inappropriate content, the first content is removed from a storage location.

Abstract: A multi-beam apparatus for multi-beam inspection with an improved source conversion unit providing more beamlets with high electric safety, mechanical availability and mechanical stabilization has been disclosed. The source-conversion unit comprises an image-forming element array having a plurality of image-forming elements, an aberration compensator array having a plurality of micro-compensators, and a pre-bending element array with a plurality of pre-bending micro-deflectors. In each of the arrays, adjacent elements are placed in different layers, and one element may comprise two or more sub-elements placed in different layers. The sub-elements of a micro-compensator may have different functions such as micro-lens and micro-stigmators.

Abstract: The present invention relates to a ventilating and blanking device for a coal storage Eurosilo. The ventilating and blanking device includes a top blanking pipe, an axial flow fan and a baffle door, the top blanking pipe including a first pipeline and a second pipeline, an air supply pipe is connected to a side wall of the second pipeline, and the baffle door is connected to a driving mechanism; during blanking, the driving mechanism drives the baffle door so as to make the baffle door close the air supply pipe and the axial flow fan is shut off; and during ventilation, the driving mechanism drives the baffle door so as to make the baffle door close the first pipeline, and the axial flow fan is turned on. Compared with the prior art, the present invention has the advantages of ventilation efficiency, good ventilation effect, etc.

Abstract: The present disclosure relates to a wide-range perpendicular sensitive magnetic sensor and the method for manufacturing the same, the magnetic sensor includes a substrate, a plurality of magnetic tunnel junctions, a plurality of magnetic flux regulators, a first output port and a second output port.

Abstract: A method for contrastive learning by selecting dropout ratios and locations based on reinforcement learning includes receiving training data having a positive sample corresponding to a target and negative samples not corresponding to the target. A dropout policy for a neural network is produced based on the training data, where the dropout policy identifies at least one connection between neurons in the neural network to dropout. The training data is encoded, based on the dropout policy, to form embeddings, where the embeddings include multiple positive sample embeddings corresponding to the positive sample and multiple negative sample embedding corresponding to the negative samples.

Abstract: The present disclosure relates to a wide-range perpendicular sensitive magnetic sensor and the method for manufacturing the same, the magnetic sensor includes a substrate, a plurality of magnetic tunnel junctions, a plurality of magnetic flux regulators, a first output port and a second output port.

Abstract: A current sensor includes: four first uniaxial TMR chips and at least two second uniaxial TMR chips, each first uniaxial TMR chip and each second uniaxial TMR chip being located on the same virtual ring, wherein magnetic sensitive directions of the four first uniaxial TMR chips are perpendicular to a radius of the virtual ring, magnetic sensitive directions of two adjacent first uniaxial TMR chips are perpendicular to each other, magnetic sensitive directions of the two second uniaxial TMR chips are parallel to the radius of the virtual ring and opposite to each other, and the two second uniaxial TMR chips respectively have the same positions as two first uniaxial TMR chips; each first uniaxial TMR chip and each second uniaxial TMR chip are configured to collect a magnetic induction intensity, the magnetic induction intensity is configured to calculate a target current value of a to-be-measured wire.

Abstract: The invention relates to a method for preparing an anti-counterfeiting modal fiber, including: mixing a pulp stock solution with a cellulose catalyst, alkalizing, aging, sulfonating, and then dissolving the pulp stock solution in an alkaline solution to obtain a treatment solution; mixing the treatment solution with multiple amino acid-metal chelates, filtering, defoaming and ripening to obtain a spinning stock solution; and mixing the spinning stock solution with a spinning bath additive, and wet spinning, followed by drafting, defoaming, desulfurizing, water washing, and other post-treatments, to obtain an anti-counterfeiting modal fiber, wherein the amino acid metal-chelates account for 0.5%-1.5% by weight of the spinning stock solution. Amino acid-metal chelates are used to anti-counterfeit and encrypt the modal fibers, and the anti-counterfeiting and encrypting is involved in the spinning stock solution of modal fibers.

Abstract: The disclosure relates to an automatic measuring system and a method thereof for drilling fluid parameters measurement. The system includes i. mud container, configured for test drilling fluid preparation and samples collection; ii. heat jacket, configured to keep the drilling fluid in the tank warm iii. heat exchanger, configured to simulate the practical conditions; iv. plunger pump, configured to pump the test drilling fluid to the flowing test device; v. flow test device, configured to simulate the flowing states of drilling fluid in the borehole annulus and drilling string, and also measure the pressure and flow rate of drilling fluid vi. control module, configured to obtain rheological parameters and the best rheological mode of the drilling fluid in the borehole annulus and drilling string based on the pressure and flow rate.

Abstract: Disclosed herein are methods, compositions, and kits for engineering proteins using error-prone orthogonal replication (epOrthoRep) and yeast surface display (YSD).

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: Techniques are described with respect to a system, method, and computer product for enhancement of socialization between one or more individuals wearing personal protective equipment. An associated method includes identifying a plurality of social communications between one or more individuals wearing personal protective equipment (PPE) and assigning an identifier to a participant associated with at least one of the social communications. The method further includes analyzing content of the at least one social communication and generating an augmented reality (AR) based representation of the content for presentation on an augmented reality device associated with the user, the augmented reality device presenting the content for visualization replacing PPE based at least in-part on the identifier.