Abstract: An orthopedic insole may include at least one strength layer and at least one shock absorbing layer. In one embodiment, the strength layer may be relatively rigid and includes a heel portion and an arch portion, contoured to fit the plantar or bottom surface of the foot to provide arch support. The shock absorbing layer may include a plurality of shock absorbing cells such as recoverable honeycombs or any other negative stiffness structure with the capability to recover. A gait analysis that may include an individual's weight transfer trajectory may have to be conducted to determine the structure of the shock absorbing layer. The orthopedic insole may further include an adjusting layer to supplement the strength layer and the shock absorbing layer to make adjustment to the orthopedic insole if needed.

Abstract: A power supply circuit is configured to supply power to a display panel. The power supply circuit includes a receiver circuit and a transmitter circuit. The receiver circuit is configured to couple the display panel and output a hot plugging signal. The transmitter circuit is configured to receive the hot plugging signal and couple a power circuit. The transmitter circuit is further configured to communicate the receiver circuit to generate an enable signal. The hot plugging signal and the enable signal are configured to control whether a first voltage signal from the power circuit is transmitted to the receiver circuit and the display panel via the transmitter circuit.

Abstract: A semiconductor structure and a fabrication method of the semiconductor structure are provided. The semiconductor structure includes a substrate. The substrate includes a first region, a second region, and an isolation region between the first region and the second region. The semiconductor structure also includes a first fin, a second fin and a third fin disposed over the first region, the second region, and the isolation region, respectively. Further, the semiconductor structure includes a gate structure. The gate structure includes a first work function layer over the first region and a first portion of the isolation region, and a second work function layer over the second region and a second portion of the isolation region. An interface where the first work function layer is in contact with the second work function layer is located over a top surface of the third fin.

Abstract: Various arrangements for using captured voice to generate a custom interface controller are presented. A vocal recording from a user may be captured in which a spoken command and multiple smart-home devices are indicated. One or more common functions that map to the multiple smart-home devices may be determined. A custom interface controller may be generated that controls the one or more common functions of each smart-home device of the multiple smart-home devices.

Abstract: When a driving circuit of an anti-fuse memory device programs a selected anti-fuse memory cell, voltage differences between unselected bit lines and unselected anti-fuse control lines would be eliminated or decreased to an acceptable value by floating unselected anti-fuse control lines or by applying a second control line voltage to the unselected anti-fuse control lines. Leakage currents flowing from unselected bit lines through ruptured anti-fuse transistors of the anti-fuse memory device to the unselected anti-fuse control lines would be decreased or eliminated, and program disturbance would be avoided.

Abstract: Provided is an end-to-end pipeline (e.g., which may be implemented in TensorFlow) which leverages a specialized search space to generate custom models which provide improved time series prediction.

Abstract: Various arrangements for integrating control of multiple cloud-based smart-home devices are presented. Registration information may be received for a first and second smart-home device that are controlled using different cloud-based server systems. A determination may be made that that the first smart-home device and the second smart-home device share a common function. The first smart-home device and the second smart-home device may be assigned to a common operating characteristic group based on the common function being shared by the first smart-home device and the second smart-home device. A control element may be provided that allows for control of smart-home devices with the common operating characteristic group. The control element may control the common function at the first smart-home device via the first cloud-based server system and at the second smart-home device via the second cloud-based server system.

Abstract: A microRNA (miRNA) expression signature for predicting triple-negative breast cancer (TNBC) recurrence is provided. The miRNA expression signature consists essentially of hsa-miR-139-5p, hsa-miR-10b-5p, hsa-miR-486-5p, hsa-miR-455-3p, hsa-miR-107, hsa-miR-146b-5p, hsa-miR-324-5p, and hsa-miR-20a-5p.

Abstract: A microRNA (miRNA) expression signature for predicting triple-negative breast cancer (TNBC) recurrence is provided. The miRNA expression signature consists essentially of hsa-miR-139-5p, hsa-miR-10b-5p, hsa-miR-486-5p, hsa-miR-455-3p, hsa-miR-107, hsa-miR-146b-5p, hsa-miR-324-5p, and hsa-miR-20a-5p.

Abstract: An image processing chip test method comprising: controlling a power supply circuit to provide a first operating voltage to an image processing chip comprising a storage device; and when reading written first image data from the storage device, the test device receives a first error detection code corresponding to the first image data and determines whether the first error detection code means an error occurs. If an error occurs, record the first operating voltage as an erroneous operating voltage, and if the error does not occur, provide a second operating voltage to the image processing chip. Also, when the written second image data is read from the storage device, the test device receives a second error detection code corresponding to the second image data and determines whether the second error detection code means an error occurs.

Abstract: A method for identifying a body region in a medical image includes obtaining a medical image including a number of consecutive bio-section images, inputting the medical image into a preset machine learning model to obtain a numerical value for each of the bio-section images corresponding to the body region to which the bio-section image belongs, determining whether the numerical values of the medical image are abnormal, adjusting the numerical values when the numerical values are abnormal, determining the body region corresponding to the numerical values or the adjusted numerical values, and labeling the body region in the medical image and outputting the labeled medical image. The bio-section images are cross-sectional images of a living body.

Abstract: An image processing chip test method comprising: controlling a power supply circuit to provide a first operating voltage to an image processing chip comprising a storage device; and when reading written first image data from the storage device, the test device receives a first error detection code corresponding to the first image data and determines whether the first error detection code means an error occurs. If an error occurs, record the first operating voltage as an erroneous operating voltage, and if the error does not occur, provide a second operating voltage to the image processing chip. Also, when the written second image data is read from the storage device, the test device receives a second error detection code corresponding to the second image data and determines whether the second error detection code means an error occurs.

Abstract: A reference voltage generator includes an output terminal, a current source, a reference circuit, a protection circuit, and a control circuit. The output terminal outputs a reference voltage. The current source is coupled to the output terminal, and generates a reference current. The reference circuit is coupled to the output terminal, and generates a reference voltage according to the reference current. The protection circuit is coupled to the output terminal, and adjusts a voltage of the output terminal to an operating voltage. The control circuit is coupled to the reference circuit and the protection circuit. The control circuit controls the reference circuit and the protection circuit according to a start signal.

Abstract: A non-volatile memory includes a memory cell array, an amplifying circuit and a first multiplexer. The memory cell array includes m×n memory cells. The memory cell array is connected with a control line, m word lines and n local bit lines, wherein m and n are positive integers. The amplifying circuit includes n sensing elements. The n sensing elements are respectively connected between the n local bit lines and n read bit lines. The first multiplexer is connected with the n local bit lines and the n read bit lines. According to a first select signal, the first multiplexer selects one of the n local bit lines to be connected with a first main bit line and selects one of the n read bit lines to be connected with a first main read bit line.

Abstract: An apparatus comprises a memory slot mounted to a main board, an expansion slot mounted to the main board and electrically coupled to the memory slot, a backup power module receivable in the expansion slot, and a main power source electrically coupled to the expansion slot and the memory slot. During normal operation, the main power source supplies electrical power to the memory slot and charge the backup power module. In the event of power loss or main power source failure, the backup power module discharges electrical power to the memory slot.

Abstract: In one aspect, a system for in vivo and transcranial stimulation of brain tissue of a subject may include at least one light source, a controller to control operation of the light source, a signal detecting unit and a processor configured to receive signals from the signal detecting unit, analyze the signals and generate a feedback signal to the controller to control the light source until optimal results are obtained. In one embodiment, the light source is a laser instrument and the wavelength can range from 800 to 1100 nm. In another embodiment, the irradiance of the laser instrument can range from 50 to 1000 mW/cm2.

Abstract: In one aspect, a system for in vivo stimulation of targeted tissues of a subject integrated in Exosome and/or stem cell therapies may include at least one light source, a controller to control operation of the light source, a signal detecting unit and a processor configured to receive signals from the signal detecting unit, analyze the signals and generate a feedback signal to the controller to control the light source until optimal results are obtained. In one embodiment, the light source is a laser instrument and the wavelength can range from 400 to 1100 nm. In another embodiment, the irradiance of the laser instrument can range from 10 to 3000 mW/cm2.

Abstract: In one aspect, a system for in vivo and transcranial stimulation of brain tissue of a subject may include at least one light source, a controller to control operation of the light source, a signal detecting unit and a processor configured to receive signals from the signal detecting unit, analyze the signals and generate a feedback signal to the controller to control the light source until optimal results are obtained. In one embodiment, the light source is a laser instrument and the wavelength can range from 800 to 1100 nm. In another embodiment, the irradiance of the laser instrument can range from 50 to 1000 mW/cm2.