Abstract: The disclosure provides a processing circuit adapted to read out a sensing voltage of an X-ray sensor and a signal processing method of a sampling circuit. The processing circuit includes an amplifier and the sampling circuit. An inverting input terminal of the amplifier is coupled to the X-ray sensor. The sampling circuit is coupled to an output terminal of the amplifier. The sampling circuit obtains a first voltage, a second voltage, and a sampling voltage of the X-ray sensor in different periods. The sampling voltage is between the first voltage and the second voltage. In the readout period, the sampling circuit subtracts the second voltage from the sampling voltage to obtain a third voltage, subtracts the second voltage from the first voltage to obtain a fourth voltage, and divides the third voltage by the fourth voltage to read out the sensing voltage of the X-ray sensor.

Abstract: An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.

Abstract: A method includes: generating a first sum value at least by a first resistor; generating a first shifted sum value based on the first sum value and a nonlinear function; generating a pulse number based on the first shifted sum value; and changing the first resistor based on the pulse number to adjust the first sum value.

Abstract: The present invention is related to a biological data sensor for measuring biological data from a user. The biological data sensor comprises a sensing module and a wearable charging module. The sensing module is formed by flexible printed circuit (FPC) and attached to the user's skin. The sensing module includes light emitting units, at least one sensing unit, and a rechargeable battery. The light emitting unit emits a first sensing light onto the user's skin. The first sensing light is transmitted onto the user's skin and reflected from the user's skin as a second detecting light. The sensing unit receives the second sensing light and outputs the biological data. The rechargeable battery is electrically connected to the light emitting units and the sensing unit, and the rechargeable battery provides power to the light emitting units and the sensing unit. The wearable charging module is worn on a part of the user adjacent to the sensing module.

Abstract: The invention discloses a Raman laser apparatus including a linear cavity having a first direction and a second direction opposite to the first direction, the linear cavity including along the first direction: a first optical component, a gain medium, a Raman medium, a lithium triborate (LBO) crystal and a second optical component. The first optical component receives an incident pumping light in the first direction. The gain medium receives the pumping light from the first optical component, and generates a first infrared base laser having a first wavelength. The Raman medium receives the first infrared base laser, and generates a second infrared base laser having a second wavelength. The LBO crystal receives the first and the second infrared base lasers, and generates a visible laser light having a third wavelength. The second optical component is configured to allow the visible laser light to be transmitted out along the first direction.

Abstract: A Quality of Experience (QoE) optimization system and method are provided. An electronic device inputs key performance indicators (KPIs) and system control parameters collected from a core network, a base station and a user equipment (UE) into a QoE optimization model. The QoE optimization model then optimizes the system control parameters based on the KPIs and a user QoE fed back from the UE to output optimized system control parameters. Furthermore, a strategy emulator controls at least one of a base station emulator and a UE emulator, so as to emulate the QoE optimization model using the at least one of the base station emulator and the UE emulator. Non-real-time optimization adjustments to the QoE optimization model are made based on the result of the emulation performed by the at least one of the base station emulator and the UE emulator.

Abstract: A control method of a minimum power input applicable to a wireless power transfer system including a power transmission unit and at least one power receiving unit is provided. The power transmission unit is electrically connected with a control voltage signal and an input voltage signal and accordingly generates the minimum power input. The power transmission unit transmits the minimum power input wirelessly through a wireless transmission to the at least one power receiving unit for receiving. By adjusting the input voltage signal, the duty ratio and resonant frequency of the control voltage signal, the present invention ensures an optimal power transmission efficiency of the wireless power transmission system. Moreover, parameters of a charge pump reservoir and gate driving circuit can be further designed in view of the trend feedback of its gate drive waveforms so as to optimize the effect of the proposed invention.

Abstract: A semiconductor device includes a substrate, a 2-D material layer, source/drain contacts, and a gate electrode. The 2-D material layer is over the substrate, the 2-D material layer includes source/drain regions and a channel region between the source/drain regions, in which the 2-D material layer is made of a transition metal dichalcogenide (TMD). The source/drain contacts are in contact with source/drain regions of the 2-D material layer, in which a binding energy of transition metal atoms at the channel region of the 2-D material layer is different from a binding energy of the transition metal atoms at the source/drain regions of the 2-D material layer. The gate electrode is over the substrate.

Abstract: A nano-twinned copper layer with a doped metal element is disclosed, wherein the nano-twinned copper is doped with at least one metal element selected from the group consisting of Ag, Ni, Al, Au, Pt, Mg, Ti, Zn, Pd, Mn and Cd in a region from a surface of the nano-twinned copper layer to a depth being 0.3 ?m, and a content of the metal element in the region is ranged from 0.5 at % to 20 at %. In addition, at least 50% in volume of the nano-twinned copper layer includes plural twinned grains. Furthermore, a substrate including the aforesaid nano-twinned copper layer and a method for preparing the aforesaid nano-twinned copper layer are also disclosed.

Abstract: An integrated circuit device includes a semiconductor substrate, a first gate structure, a channel layer, source and drain features, a second gate structure, a first contact, and a second contact. The first gate structure is over the semiconductor substrate. The first gate structure includes a gate dielectric layer and a first gate electrode. The channel layer is over and surrounded by the first gate structure. The source and drain features are respectively on opposite first and second sides of the channel layer. The second gate structure is over the channel layer. The second gate structure includes a programming gate dielectric layer having a data storage layer and a second gate electrode over the programming gate dielectric layer. The first gate contact is on the first gate electrode. The second gate contact is on the second gate electrode.

Abstract: A device comprises a plurality of 2D semiconductor nanostructures, a gate structure, a source region, and a drain region. The plurality of 2D semiconductor nanostructures extend in a first direction above a substrate and arranged in a second direction substantially perpendicular to the first direction. The gate structure surrounds each of the plurality of 2D semiconductor nanostructures. The source region and the drain region are respectively on opposite sides of the gate structure.

Abstract: A system of image processing based emotion recognition is disclosed. The system principally comprises a camera and a main processor. Particularly, there a plurality of function units provided in the main processor, including: face detection unit, feature processing module, feature combination unit, conversion module, facial action judging unit, and emotion recognition unit. According to the present invention, the emotion recognition unit is configured to utilize a facial emotion recognition (FER) model to evaluate or distinguish an emotion state of a user based on at least one facial action, at least one emotional dimension, and a plurality of emotional scores. As a result, the accuracy of the emotion recognition conducted by the emotion recognition unit is significantly enhanced because basis of the emotion recognition comprises basic emotions, emotional dimension(s) and the user's facial action.

Abstract: An optical system includes a pancake lens assembly which has a lens unit and a liquid crystal device. The lens unit includes a partially reflective mirror, a reflective polarizer, and a quarter waveplate disposed between the partially reflective mirror and the reflective polarizer. The liquid crystal device is disposed between the quarter waveplate and the reflective polarizer. When a light is introduced into the pancake lens assembly in a Z direction, an X-polarized light passes through the liquid crystal device two times and a Y-polarized light passes through the liquid crystal device one time.

Abstract: Provided is a vaccine composition including a recombinant DNA vaccine against a pathogen. The recombinant DNA vaccine includes an expression cassette operably linked to a promoter, and the expression cassette encodes a non-structural protein of a Sindbis virus and an antigenic protein of the pathogen. Also provided is a method of producing a protective immune response against a pathogen in a subject in need thereof by administering the vaccine composition to the subject.

Abstract: A high-mobility resource allocation system and method for simulated users are provided, including a base station, antennas and a simulated mobile-user generator. The simulated mobile-user generator organizes a test field by taking the base station as the circle center, and measures and records multiple channel information based on the detection signals of the antennas. The machine learning module is used to perform simulation channel training according to channel information to generate simulated user channels that approximates real-world scenarios. A mobile-user organizing module organizes multiple simulated mobile users and their mobile channel information in the test field based on the simulated user channel, generates multiple simulated mobile user signals, and uses a resource-allocation optimizing module based on simulated mobile user signals, channel interference information upon moving, etc. to maximize the number of simulated mobile users while considering the quality of service.

Abstract: A high repetition rate pulse laser including a linear cavity having a first direction and a second direction opposite to the first direction is disclosed. The pulse laser includes, along the first direction, a first optical component, a gain and Raman medium, an acousto-optic crystal, a first lithium triborate (LBO) crystal and a second optical component. The first optical component allows a pumping light incident in the first direction to transmit therethrough. The gain and Raman medium receives the pumping light from the first optical component, and generates a first infrared base laser light having a first wavelength and a second infrared base laser light having a second wavelength. The acousto-optic crystal receives a radio frequency control signal from a radio frequency controller, wherein the radio frequency control signal has a signal period including a low level period and a high level period.

Abstract: A device includes first and second wires, resistors, and a processor. Input signals are transmitted from the first wires through the resistors to the second wires. The processor receives a sum value of the input signals from one of the second wires, and shifts the sum value by a nonlinear activation function to generate a shifted sum value. The processor calculates a backpropagation value based on the shifted sum value and a target value related to a corresponding input signal of the input signals, and generates a pulse number based on the corresponding input signal of the input signal and the backpropagation value. The processor applies a voltage pulse to one of the resistors related to the corresponding input signal based on the pulse number, in order to modify a value of the corresponding input signal in the input signals to be the same as the target value.

Abstract: A method includes following steps. An interconnect structure is formed over a first transistor. A dielectric layer is formed over the interconnect structure. The dielectric layer is etched to form holes in the dielectric layer. An amorphous layer is deposited in the holes of the dielectric layer and on a top surface of the dielectric layer. The amorphous layer is crystallized into a polycrystalline layer. A second transistor is formed on the polycrystalline layer.

Abstract: A method for fault diagnosis in a communication network is to be implemented by a processor. The method includes obtaining key performance indicator (KPI) data related to the communication network, performing a deep-learning-based classification algorithm by using the KPI data as input to a deep neural network model, and determining, based on output of the deep neural network model after performing the deep-learning-based classification algorithm, at least one type of network condition the communication network currently satisfies, and a severity level of the at least one type of network condition when the output of the deep neural network model contains information related to severity levels of the at least one type of network condition.

Abstract: The invention utilizes virtual screening strategy to seek for current market drugs as anti-schizophrenia therapy drug repurposing. Drug repurposing strategy finds new uses other than the original medical indications of existing drugs. Finding new indications for such drugs will benefit patients who are in needs for a potential new therapy sooner since known drugs are usually with acceptable safety and pharmacokinetic profiles. In this study, repurposing marketed drugs for DAAO inhibitor as new schizophrenia therapy was performed with virtual screening on marketed drugs and its metabolites. The identified and available drugs and compounds were further confirmed with in vitro DAAO enzymatic inhibitory assay.