Abstract: An essential oil of stems and leaves of Chuzhou chrysanthemum and its applications are provided. The essential oil is prepared by: taking and crushing fresh stems and leaves of the Chuzhou chrysanthemum by a crusher; putting the crushed stems and leaves into an extraction kettle, adding deionized water according to a ratio of 1:4 to 1:6, sealing, and connecting a cooling reflux and essential oil collection device; heating and starting counting when boiling, performing distillation extraction; then standing for cooling to room temperature, naturally layering the essential oil and water, discharging the water at a lower layer, and collecting the essential oil at an upper layer; and placing the essential oil in a brown bottle, adding anhydrous sodium sulfate to absorb water to obtain the essential oil of the stems and leaves of Chuzhou chrysanthemum.

Abstract: An essential oil of stems and leaves of Chuzhou chrysanthemum and its applications are provided. The essential oil is prepared by: taking and crushing fresh stems and leaves of the Chuzhou chrysanthemum by a crusher; putting the crushed stems and leaves into an extraction kettle, adding deionized water according to a ratio of 1:4 to 1:6, sealing, and connecting a cooling reflux and essential oil collection device; heating and starting counting when boiling, performing distillation extraction; then standing for cooling to room temperature, naturally layering the essential oil and water, discharging the water at a lower layer, and collecting the essential oil at an upper layer; and placing the essential oil in a brown bottle, adding anhydrous sodium sulfate to absorb water to obtain the essential oil of the stems and leaves of Chuzhou chrysanthemum.

Abstract: A method for preparing a nitrogen-containing polycyclic fused ring compound of formula I, and an intermediate thereof are provided. By this method, the compound of formula I can be produced on an industrial scale without column chromatography separation, purification steps such as silica gel column chromatography, or hydrogen. In addition, the preparation method effectively uses positional isomers IIIA and IIIB, and improves the yield of a target product from being adversely influenced by discarding positional isomer IIIA.

Abstract: The present disclosure discloses a digital-analog integrated voltage transformer calibration system, used for calibrating a voltage transformer, the system including: a direct-current high voltage generator, having an input terminal connected with an input terminal of a signal conversion module; the signal conversion module, having an input terminal connected with an output terminal of the voltage transformer and an output terminal connected with a digital quantity acquisition module; the digital quantity acquisition module, having an input terminal connected with the output terminal of the voltage transformer and an output terminal connected with a processing module; the processing module, used for receiving a first digital voltage signal, a second digital voltage signal, and a third digital voltage signal.

Abstract: An optoelectronic synaptic memristor includes: a bottom electrode layer, a porous structure layer modified with quantum dots, a two-dimensional material layer, a transparent top electrode layer, and a waveguide layer, which are arranged in sequence from top to bottom, wherein the waveguide is ridge shaped for light conduction, comprising a wedge-shaped output terminal, wherein: through the wedge-shaped output terminal of the waveguide, light is vertically injected into the two-dimensional material layer and the porous structure layer modified with the quantum dots. By integrating the waveguide and the optoelectronic memristor, the present invention obtains the highly controlled characteristics with high alignment and confinement for light effect on the device and has advantages in realizing optoelectronic synergy in the optoelectronic synaptic memristors.

Abstract: A nitrogen-containing polycyclic fused ring compound represented by formula I, a pharmaceutical composition thereof, a preparation method therefor, and a use thereof are provided. The compound has an inhibitory effect on RET gatekeeper residue mutant RET V804M mutation, RET solvent front residue mutant G810R, and other clinically relevant RET mutants and RET-wt. The compound can also significantly inhibit the growth of a TT cell line derived from thyroid cancer and Ba/F3 cells transformed by various RET mutants, and has a stronger inhibition effect than selective RET inhibitor LOXO-292. In addition, the compound can block cellular RET autophosphorylation and downstream pathways, and can significantly induce TT cell death.

Abstract: A dual-floating gates optoelectronic self-exciting synaptic memristor includes a bottom gate, a barrier layer coated on a surface of the bottom gate, a quantum dot layer coated on a surface of a middle portion of the barrier layer, two inverted L-shaped electron or hole tunneling layers coated on a surface of two end portions of the quantum dot layer respectively, two inverted L-shaped floating gate storage layers coated on the electron or hole tunneling layers respectively, two electron or hole blocking layers coated on the two floating gate storage layers respectively, an inverted L-shaped source electrode and an inverted L-shaped drain electrode coated on the two electron or hole blocking layers respectively, a photosensitive material layer coated on a surface of a middle portion of the quantum dot layer, and a top gate coated on the photosensitive material layer.

Abstract: The disclosure is directed to an image dehazing method and an image dehazing apparatus using the same method. In an aspect, the disclosure is directed to an image dehazing method, and the method would include not limited to: receiving an input image; dehazing the image by a dehazing module to output a dehazed RGB image; recovering image brightness of the dehazed RGB image by a high dynamic range (HDR) module to output an HDR image; and removing reflection of the HDR image by a ReflectNet inference model, wherein the ReflectNet inference model uses a deep learning architecture.

Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.

Abstract: The present disclosure discloses near-eye display method and apparatus based on human visual characteristics, and the method includes: dividing a near-eye display screen into n display subregions; acquiring critical spatial frequencies corresponding to the n display subregions respectively; creating and rendering corresponding video image data of n layers for the n display subregions from an input video image according to the critical spatial frequencies corresponding to the n display subregions respectively; transmitting the video image data of the n layers to the near-eye display; and finally, performing reconstruction on and stitching the video image data of the n layers to generate an image which accords with a human gaze effect, and displaying the image in the display screen.

Abstract: The disclosure is directed to an image dehazing method and an image dehazing apparatus using the same method. In an aspect, the disclosure is directed to an image dehazing method, and the method would include not limited to: receiving an input image; dehazing the image by a dehazing module to output a dehazed RGB image; recovering image brightness of the dehazed RGB image by a high dynamic range (HDR) module to output an HDR image; and removing reflection of the HDR image by a ReflectNet inference model, wherein the ReflectNet inference model uses a deep learning architecture.

Abstract: An image recognition method, including: obtaining an image to be recognized by an image sensor; inputting the image to be recognized to a single convolutional neural network; obtaining a first feature map of a first detection task and a second feature map of a second detection task according to an output result of the single convolutional neural network, wherein the first feature map and the second feature map have a shared feature; using an end-layer network module to generate a first recognition result corresponding to the first detection task from the image to be recognized according to the first feature map, and to generate a second recognition result corresponding to the second detection task from the image to be recognized according to the second feature map; and outputting the first recognition result corresponding to the first detection task and the second recognition result corresponding to the second detection task.

Abstract: An optoelectronic synaptic memristor includes: a bottom electrode layer, a porous structure layer modified with quantum dots, a two-dimensional material layer, a transparent top electrode layer, and a waveguide layer, which are arranged in sequence from top to bottom, wherein the waveguide is ridge shaped for light conduction, comprising a wedge-shaped output terminal, wherein: through the wedge-shaped output terminal of the waveguide, light is vertically injected into the two-dimensional material layer and the porous structure layer modified with the quantum dots. By integrating the waveguide and the optoelectronic memristor, the present invention obtains the highly controlled characteristics with high alignment and confinement for light effect on the device and has advantages in realizing optoelectronic synergy in the optoelectronic synaptic memristors.

Abstract: The present disclosure discloses near-eye display method and apparatus based on human visual characteristics, and the method includes: dividing a near-eye display screen into n display subregions; acquiring critical spatial frequencies corresponding to the n display subregions respectively; creating and rendering corresponding video image data of n layers for the n display subregions from an input video image according to the critical spatial frequencies corresponding to the n display subregions respectively; transmitting the video image data of the n layers to the near-eye display; and finally, performing reconstruction on and stitching the video image data of the n layers to generate an image which accords with a human gaze effect, and displaying the image in the display screen.

Abstract: Embodiments are directed to methods of identifying a subject having prostate cancer or renal cell carcinoma; or prostate cancer risk assessment of a subject by determining level of at least one volatile organic compound from a sample from the subject where a significantly different level of the at least one volatile organic compound in the sample as compared to the level of the compound in a control sample is indicative of the presence of prostate cancer or renal cell carcinoma or low-risk prostate cancer or high-low prostate cancer in the subject.

Abstract: Embodiments are directed to methods of identifying a subject having prostate cancer or renal cell carcinoma; or prostate cancer risk assessment of a subject by determining level of at least one volatile organic compound from a sample from the subject where a significantly different level of the at least one volatile organic compound in the sample as compared to the level of the compound in a control sample is indicative of the presence of prostate cancer or renal cell carcinoma or low-risk prostate cancer or high-low prostate cancer in the subject.

Abstract: A speech-to-speech (S2S) translation system may utilize a damaging channel model to adapt machine translation (MT) training data so that a MT engine of the S2S translation system that is trained with the adapted training data can make better use of output received from an automated speech recognition (ASR) engine of the S2S translation system. The S2S translation system may include a MT training module that uses MT technology in order to simulate a particular ASR engine output by treating the ASR engine as a “noisy channel”. A process may include modeling ASR errors of a particular ASR engine based at least in part on output of the ASR engine to create an ASR simulation model, and performing machine translation to generate training data based at least in part on the ASR simulation model. The MT engine of the S2S translation system may then be trained using the generated training data.

Abstract: A speech-to-speech (S2S) translation system may utilize a damaging channel model to adapt machine translation (MT) training data so that a MT engine of the S2S translation system that is trained with the adapted training data can make better use of output received from an automated speech recognition (ASR) engine of the S2S translation system. The S2S translation system may include a MT training module that uses MT technology in order to simulate a particular ASR engine output by treating the ASR engine as a “noisy channel”. A process may include modeling ASR errors of a particular ASR engine based at least in part on output of the ASR engine to create an ASR simulation model, and performing machine translation to generate training data based at least in part on the ASR simulation model. The MT engine of the S2S translation system may then be trained using the generated training data.

Abstract: A method is provided for protection switching in an optical network. The method may include communicating a switch request for initiation of protection switching in response to a determination that at least a minimum frequency of interrupts indicating failure of an optical signal has occurred over a first period. The method may also include communicating a switch request for cessation of protection switching in response to a determination that no more than a maximum frequency of interrupts indicating failure of an optical signal has occurred over a second period.