Abstract: A method of designing an integrated circuit (IC) device includes identifying, with a processor, a pin failing a test to determine an antenna effect, identifying, with the processor, a net corresponding to the identified pin failing the test to determine the antenna effect, and creating, with the processor, an engineering change order (ECO) script based on the identified net to insert a diode to address the antenna effect.

Abstract: The technology disclosed in this specification pertains to a heat-moisture treated fava bean protein concentrates having between 50% and 73% and a denaturation enthalpy from about 5.5 and 6.5 J/g. This is limited degree of denaturation. The disclosed heat-moisture treated fava bean protein concentrates are useful as emulsifiers, and good solubility in water, and reduced flavor.

Abstract: Described herein are systems, methods, and instrumentalities associated with automatically annotating a 3D image dataset. The 3D automatic annotation may be accomplished based on a 2D manual annotation provided by an annotator and by propagating, using a set of machine-learning (ML) based techniques, the 2D manual annotation through sequences of 2D images associated with the 3D image dataset. The automatically annotated 3D image dataset may then be used to annotate other 3D image datasets upon passing a readiness assessment conducted using another set of ML based techniques. The automatic annotation of the images may be performed progressively, e.g., by processing a subset or batch of images at a time, and the ML based techniques may be trained to ensure consistency between a forward propagation and a backward propagation.

Abstract: Described herein are systems, methods, and instrumentalities associated with automatically annotating a 3D image dataset. The 3D automatic annotation may be accomplished based on a 2D annotation provided by an annotator and by propagating the 2D annotation through multiple images of a sequence of 2D images associated with the 3D image dataset. The automatically annotated 3D image dataset may then be used to annotate other 3D image datasets based on similarities between the first 3D image dataset and the other 3D image datasets. The automatic annotation of the first 3D image dataset and/or the other 3D image datasets may be conducted based on one or more machine-learning models trained for performing those tasks.

Abstract: A method for evaluating a downhole working condition of a PDC bit includes: performing an indoor test, including performing a drilling test in different full-sized cores by using the PDC bit with different degrees of abrasion and balling under condition of given WOB and rotational speed, to acquire change characteristics of a WOB, a rotational speed, a torque, a ROP and a bit vibration of the PDC bit in different time domains; improving and perfecting an existing prediction model and evaluation method for the downhole working condition through data obtained by the test to obtain the method; reading parameters of the WOB, the rotational speed, the torque and the ROP in real time during drilling; determining the downhole working condition of the PDC bit by using the method in the improving and perfecting.

Abstract: Examples of performing selective Fine Timing Measurement (FTM) are described. For an FTM scan cycle, a first AP (i.e., an initiator) may determine scanning parameter values of a plurality of second APs (i.e., potential responders) based on previously performed FTM scans. The first AP may determine weights of the plurality of second APs based on the scanning parameter values and select a set of target APs based on the weights. The first AP may then scan the set of target APs for the FTM scan so that the rest of the plurality of second APs are relieved from participating in the FTM scan thereby reducing the performance impact on the rest of the plurality of second APs. After the FTM scan cycle is completed, the first AP may update the weights and select another set of target APs based on the updated weights to perform another FTM scan cycle.

Abstract: The present invention discloses a extra thick hot rolled H section steel and a production method therefor. The extra thick hot rolled H section steel contains, by mass, the following chemical components: 0.04-0.11% of C, 0.10-0.40% of Si, 0.40-1.00% of Mn, 0.40-1.00% of Cr, 0.10-0.40% of Cu, 0.020-0.060% of Nb, 0.040-0.100% of V, 0.010-0.025% of Ti, 0.010-0.030% of Al, 0.0060-0.0120% of N, not more than 0.015% of P, not more than 0.005% of S, not more than 0.0060% of O, and the balance Fe and trace residual elements, wherein 0.090%?Nb+V+Ti?0.170%, 6.5?(V+Ti)/N?10.5, and 0.30%?CEV?0.48%. The extra thick hot rolled H section steel has a flange thickness of 90 mm-150 mm, has excellent comprehensive mechanical properties, and can well meet the needs for heavy supporting structural parts of high-rise buildings, large squares, bridge structures, etc.

Abstract: Disclosed is a method and a system for automatic positioning of a medical equipment with respect to a patient. The method includes obtaining sensor data related to the patient, from a plurality of sensors fixed relative to the medical equipment. The method further includes processing the sensor data to determine at least one pose characteristic of the patient and at least one shape characteristic of the patient. The method further includes determining at least one adjustment parameter for the medical equipment based on the at least one pose characteristic of the patient and the at least one shape characteristic of the patient. The method further includes adjusting the medical equipment based on the at least one adjustment parameter.

Abstract: Systems, methods, and instrumentalities are described herein for constructing a multi-view patient model (e.g., a 3D human mesh model) based on multiple single-view models of the patient. Each of the single-view models may be generated based on images captured by a sensing device and, dependent on the field of the view of the sensing device, may depict some keypoints of the patient's body with a higher accuracy and other keypoints of the patient's body with a lower accuracy. The multi-view patient model may be constructed using respective portions of the single-view models that correspond to accurately depicted keypoints. This way, a comprehensive and accurate depiction of the patient's body shape and pose may be obtained via the multi-view model even if some keypoints of the patient's body are blocked from a specific sensing device.

Abstract: A composition of matter useful as a bioadhesive including a bistable adhesive polymer. The bistable adhesive polymer includes one or more polymer backbones; side-chains attached to each of the polymer backbones; and one or more transition temperatures between a crystalline state and an amorphous state. The one or more transition temperatures are such that the polymer transitions from the crystalline state to the amorphous state upon physical contact with biological tissue having a temperature higher than the transition temperature. The polymer adheres or attaches to the biological tissue in the amorphous state and can be peeled from the biological tissue when cooled below the transition temperature to the crystalline state.

Abstract: A magnetic resonance guided laser ablation treatment system, including: an optical fiber cooling assembly (400), accommodating and cooling an ablation optical fiber (5); a laser ablation apparatus (200), including a laser generator and a cooling device; a stereotactic driving system (300), accommodating and controlling the position and angle of rotation of the ablation optical fiber (5); and a workstation (100), configured to control the movement of a stereotactic driving system, and generate and display ablation information of the target region during the workflow of the magnetic resonance guided laser ablation treatment system by using the magnetic resonance temperature imaging technology.

Abstract: The present invention provides a method for preparing battery-grade anhydrous iron phosphate from liquid crude monoammonium phosphate, and belongs to the technical field of chemical industry production. In the present invention, ferrous sulfate solution and liquid crude monoammonium phosphate are used as raw materials, and ferrous iron is oxidized to ferric iron and separates out iron phosphate precipitate under the action of an oxidizing agent to obtain iron phosphate intermediate slurry; and then battery-grade anhydrous iron phosphate is finally obtained through solid-liquid separation, washing, aging, solid-liquid separation, washing, drying, dehydration and breaking up. The method provided by the present invention realizes the resource utilization of liquid crude monoammonium phosphate, has simple process and convenient operation and produces less waste water.

Abstract: Systems, methods and instrumentalities are described herein for automatically devising and executing a surgical plan associated with a patient in a medical environment, e.g., under the supervision of a medical professional. The surgical plan may be devised based on images of the medical environment captured by one or more sensing devices. A processing device may determine, based on all or a first subset of the images, a patient model that may indicate a location and a shape of an anatomical structure of the patient and determine, based on all or a second subset of the images, an environment model that may indicate a three-dimensional (3D) spatial layout of the medical environment. The surgical plan may be devised based on the patient model and the environment model, and may indicate at least a movement path of a medical device towards the anatomical structure of the patient.

Abstract: A three-dimensional (3D) model of a person may be obtained using a pre-trained neural network based on one or more images of the person. Such a model may be subject to estimation bias and/or other types of defects or errors. Described herein are systems, methods, and instrumentalities for refining the 3D model and/or the neural network used to generate the 3D model. The proposed techniques may extract information such as key body locations and/or a body shape from the images and refine the 3D model and/or the neural network using the extracted information. In examples, the 3D model and/or the neural network may be refined by minimizing a difference between the key body locations and/or body shape extracted from the images and corresponding key body locations and/or body shape determined from the 3D model. The refinement may be performed in an iterative and alternating manner.

Abstract: A light-emitting diode device includes an epitaxial structure that contains first-type and second-type semiconductor units and an active layer interposed therebetween, a light transmittable dielectric element that is disposed on the first-type semiconductor unit opposite to the active layer and is formed with a first through hole, an adhesive layer that is disposed on the dielectric element and is formed with a second through hole corresponding in position to the first through hole, and a metal contact element that is disposed on the adhesive layer. The adhesive layer has a thickness of at most one fifth of that of the dielectric element. The metal contact element extends into the first and second through holes, and electrically contacts the first-type semiconductor unit. A method for manufacturing the LED device is also disclosed.

Abstract: Systems, methods and instrumentalities are described herein for automating a medical environment. The automation may be realized using one or more sensing devices and at least one processing device. The sensing devices may be configured to capture images of the medical environment and provide the images to the processing device. The processing device may determine characteristics of the medical environment based on the images and automate one or more aspects of the operations in the medical environment. These characteristics may include, e.g., people and/or objects present in the images and respective locations of the people and/or objects in the medical environment. The operations that may be automated may include, e.g., maneuvering and/or positioning a medical device based on the location of a patient, determining and/or adjusting the parameters of a medical device, managing a workflow, providing instructions and/or alerts to a patient or a physician, etc.

Abstract: This application relates to the artificial intelligence (AI) field, and specifically, to a voice quality enhancement method and a related device. The method includes: after a PNR mode is enabled, obtaining a noisy voice signal and target voice-related data, where the noisy-carrying voice signal includes a voice signal of a target user and an interfering noise signal, and the target voice-related data indicates a voice feature of the target user; and performing noise reduction on the noisy voice signal based on the target voice-related data by using a trained voice noise reduction model to obtain a noise-reduced voice signal of the target user, where the voice noise reduction model is implemented based on a neural network. In embodiments of this application, voice of a target person can be enhanced, and interference can be suppressed.

Abstract: An end cover assembly, an air cylinder, a tread sweeper and a railway vehicle.

Abstract: A display substrate and a display device are provided. The display substrate includes a base substrate and sub-pixels on the base substrate. At least one sub-pixel includes a first transistor, a second transistor and a storage capacitor. The display substrate further includes an extension portion protruding from the gate electrode of the first transistor, and the extension portion is extended from the gate electrode of the first transistor in the second direction; the extension portion is at least partially overlapped with the first electrode of the second transistor in a direction perpendicular to the base substrate and is electrically connected with the first electrode of the second transistor; in the first direction, the extension portion has a second side closest to the second capacitor electrode, and the second side is recessed in a direction away from the second capacitor electrode.

Abstract: An energy Internet system, an energy routing conversion device, and an energy control method, relating to a field of energy information. An alternating-current (AC) side energy routing conversion device of the energy Internet system includes a plurality of first route ports, and a direct-current (DC) side energy routing conversion device includes a plurality of second route ports, where each second route port is connected to a corresponding first route port by means of a corresponding DC busbar. A plurality of energy devices are connected to a DC busbar by means of corresponding first AC/DC converters or first DC converters. The AC side energy routing conversion device and the DC side energy routing conversion device collect energy information of the energy devices and adjust energy of the energy devices on a basis of energy balance constraint conditions.