Abstract: A piezoelectric heat dissipation device and an electronic device; the piezoelectric heat dissipation device includes a housing, the housing has an accommodation cavity, the housing is provided with an air inlet and an air outlet being opposite to the air inlet; an elastic sheet, where the elastic sheet is accommodated in the accommodation cavity, and two opposite ends of the elastic sheet are respectively connected to the housing; the elastic sheet has a vibration center line; a piezoelectric ceramic member fixedly connected to the elastic sheet, where a projection of the piezoelectric ceramic member does not overlap with a projection of the vibration center line in a thickness direction of the elastic sheet; and an electric control member electrically connected with the piezoelectric ceramic member and configured to supply power to the piezoelectric ceramic member.

Abstract: A battery pack includes a housing; a cell assembly disposed in the housing and including multiple cell units; and a heat absorber in thermal contact with at least one cell unit to absorb the heat generated by the cell assembly during a charging and discharging process of the battery pack. The heat absorber contains at least paraffin wax, and the mass of the paraffin wax accounts for 70% to 90% of the mass of the heat absorber.

Abstract: A power tool includes a main body and a battery pack. The main body includes a housing and a motor, a switch assembly, and an electronic control device. The electronic control device is electrically connected to the switch assembly and the motor. The electronic control device includes an electronic control assembly, a mounting base, and a connecting assembly. The electronic control assembly includes a power circuit board. The power circuit board is provided with an opening. The connecting assembly conductively connects the battery pack to the electronic control assembly, connects to the mounting base via the opening, and mates with the mounting base to form a mounting space in which the electronic control assembly is mounted.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: A heat dissipation apparatus includes at least two heating components, at least two fans, and at least two isolation components. Heat dissipation channels are disposed inside the at least two heating components, and a fan is provided in each heat dissipation channel. An isolation component is coupled to an air inlet and/or an air outlet of the heat dissipation channel. The isolation component may isolate an air inlet or air outlet of each heating component from an air inlet or air outlet of another heating component, so as to avoid forming a loop between a heat dissipation channel in which a working fan is located and a heat dissipation channel in which a non-working fan is located.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes receiving a first CT image data; receiving a second CT image data; and generating, by an artificial neural network (ANN), CT output image data configured to include fewer artifacts compared to the first and second CT image data. The ANN includes at least two parallel CT image data streams and a CT output image data stream. A first of the at least two parallel CT image data streams is based, at least in part, on the first CT image data, a second of the at least two parallel CT image data stream is based, at least in part, on the second CT image data. The CT output image data stream is based, at least in part, on respective outputs of the at least two parallel CT image data streams.

Abstract: A connection terminal includes a body portion having a first end disposed on a power supply device and a second end opposite to the first end, two connection pieces, and a support portion supporting the two connection pieces and disposed at the second end of the body portion. An inner clamping space for clamping an electrode piece is formed between the two connection pieces. The support portion connects the two connection pieces and the body portion, an inner side surface of each of the two connection pieces comprises a contact surface for connecting with the electrode piece, and the contact surface extends along a first plane so that the contact surface is capable of being in surface contact with the electrode piece.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes receiving a first CT image data; receiving a second CT image data; and generating, by an artificial neural network (ANN), CT output image data configured to include fewer artifacts compared to the first and second CT image data. The ANN includes at least two parallel CT image data streams and a CT output image data stream. A first of the at least two parallel CT image data streams is based, at least in part, on the first CT image data, a second of the at least two parallel CT image data stream is based, at least in part, on the second CT image data. The CT output image data stream is based, at least in part, on respective outputs of the at least two parallel CT image data streams.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes generating, by a projection completion circuitry, an intermediate CT image data based, at least in part, on input CT projection data. The intermediate CT image data is configured to include relatively fewer artifacts than an uncorrected CT image reconstructed from the input CT projection data. The method further includes generating, by an artificial neural network (ANN), CT output image data based, at least in part, on the intermediate CT image data. The CT output image data is configured to include relatively fewer artifacts compared to the intermediate CT image data. The method may further include generating, by detail image circuitry, detail CT image data based, at least in part, on input CT image data. The CT output image data is generated based, at least in part, on the detail CT image data.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: A power tool includes a main body and a battery pack. The main body includes a housing and a motor, a switch assembly, and an electronic control device. The electronic control device is electrically connected to the switch assembly and the motor. The electronic control device includes an electronic control assembly, a mounting base, and a connecting assembly. The electronic control assembly includes a power circuit board. The power circuit board is provided with an opening. The connecting assembly conductively connects the battery pack to the electronic control assembly, connects to the mounting base via the opening, and mates with the mounting base to form a mounting space in which the electronic control assembly is mounted.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: Methods and systems for stationary computed tomography are disclosed. The methods and systems include a gantry having alternating x-ray sources and x-ray detectors that are stationary during operation of the system. The gantry and pairs of x-ray sources and detectors substantially surrounds an object positioned inside the gantry during operation of the system. Dynamically adjustable collimators are positioned between the x-ray sources and the object. Each of the x-ray sources projects an x-ray beam through the collimators and through the object and the x-ray detectors receive the x-ray beam. The x-ray detectors include means for converting the x-ray beam to raw image data. One or more microprocessors control the x-ray sources and the process raw image data. A data storage device stores instructions, which upon execution by the microprocessor, control the x-ray sources and process the raw image data by converting the raw image data to a digital image.

Abstract: A connection terminal includes a body portion having a first end disposed on a power supply device and a second end opposite to the first end, two connection pieces, and a support portion supporting the two connection pieces and disposed at the second end of the body portion. An inner clamping space for clamping an electrode piece is formed between the two connection pieces. The support portion connects the two connection pieces and the body portion, an inner side surface of each of the two connection pieces comprises a contact surface for connecting with the electrode piece, and the contact surface extends along a first plane so that the contact surface is capable of being in surface contact with the electrode piece.

Abstract: A stationary in-vivo grating-enabled micro-CT (computed tomography) architecture (SIGMA) system includes CT scanner control circuitry and a number of imaging chains. Each imaging chain includes an x-ray source array, a phase grating, an analyzer grating and a detector array. Each imaging chain is stationary and each x-ray source array includes a plurality of x-ray source elements. Each imaging chain has a centerline, the centerlines of the number of imaging chains intersect at a center point and a first angle between the centerlines of a first adjacent pair of imaging chains equals a second angle between the centerlines of a second adjacent pair of imaging chains. A plurality of selected x-ray source elements of a first x-ray source array is configured to emit a plurality of x-ray beams in a multiplexing fashion.

Abstract: A power tool includes a housing, a tool attachment, an output shaft, an electric motor, and an airflow channel. The housing includes an air inlet and an air outlet, and an airflow channel is formed between the air inlet and the air outlet. The electric motor includes an electric motor shaft, a stator and a rotor. The power tool further includes a thermal conduction member disposed between the rotor and the stator and configured to transfer heat between the rotor and the stator into the airflow channel. Further disclosed is an angle grinder. The power tool has good heat dissipation performance.

Abstract: Systems and methods for reconstructing images for computed tomography are provided. Image reconstruction can be based on a realistic polychromatic physical model, and can include use of both an analytical algorithm and a single-variable optimization method. The optimization method can be used to solve the non-linear polychromatic X-ray integral model in the projection domain, resulting in an accurate decomposition for sinograms of two physical basis components.

Abstract: A brushless direct-current (BLDC) motor has a connector, a stator, a rotor and a positioning module. The connector has three input ends for receiving three voltage signals, and a feedback end for receiving a feedback signal. The three voltage signals are transmitted to three windings of the stator. Rotation of the rotor is induced by interaction of magnetic fields of the three windings and a plurality of magnets of the rotor. The positioning module is fixed to the stator and has three Hall sensors for sensing positions of the magnets. The positioning module generates the feedback signal according to the positions of the plurality of magnets sensed by the three Hall sensors. The first voltage signal, the second voltage signal and the third voltage signal are adjusted according to the feedback signal.

Abstract: Tomographic/tomosynthetic image reconstruction systems and methods in the framework of machine learning, such as deep learning, are provided. A machine learning algorithm can be used to obtain an improved tomographic image from raw data, processed data, or a preliminarily reconstructed intermediate image for biomedical imaging or any other imaging purpose. In certain cases, a single, conventional, non-deep-learning algorithm can be used on raw imaging data to obtain an initial image, and then a deep learning algorithm can be used on the initial image to obtain a final reconstructed image. All machine learning methods and systems for tomographic image reconstruction are covered, except for use of a single shallow network (three layers or less) for image reconstruction.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes generating, by a projection completion circuitry, an intermediate CT image data based, at least in part, on input CT projection data. The intermediate CT image data is configured to include relatively fewer artifacts than an uncorrected CT image reconstructed from the input CT projection data. The method further includes generating, by an artificial neural network (ANN), CT output image data based, at least in part, on the intermediate CT image data. The CT output image data is configured to include relatively fewer artifacts compared to the intermediate CT image data. The method may further include generating, by detail image circuitry, detail CT image data based, at least in part, on input CT image data. The CT output image data is generated based, at least in part, on the detail CT image data.