Abstract: The present disclosure is a three-way U-Net method for accurately segmenting an uncertain boundary of a retinal blood vessel, includes: describing an uncertainty of a blood vessel boundary label, constructing an upper bound and a lower bound of the uncertain boundary based on the dilation operator and the erosion operator respectively to obtain a maximum value and a minimum value for the blood vessel boundary, and mapping the boundary with uncertain information into one range; combining an uncertainty representation of the boundary with a loss function, and designing a three-way loss function; training network parameters by adopting a stochastic gradient descent algorithm and utilizing a total loss of the three-way loss function; and designing and implements an auxiliary diagnosis application system for intelligently segmenting the retinal blood vessel with functions of the fundus data acquisition, the intelligent accurate segmentation and the auxiliary diagnosis for the retinal blood vessel.

Abstract: The present disclosure is a three-way U-Net method for accurately segmenting an uncertain boundary of a retinal blood vessel, includes: describing an uncertainty of a blood vessel boundary label, constructing an upper bound and a lower bound of the uncertain boundary based on the dilation operator and the erosion operator respectively to obtain a maximum value and a minimum value for the blood vessel boundary, and mapping the boundary with uncertain information into one range; combining an uncertainty representation of the boundary with a loss function, and designing a three-way loss function; training network parameters by adopting a stochastic gradient descent algorithm and utilizing a total loss of the three-way loss function; and designing and implements an auxiliary diagnosis application system for intelligently segmenting the retinal blood vessel with functions of the fundus data acquisition, the intelligent accurate segmentation and the auxiliary diagnosis for the retinal blood vessel.

Abstract: A driving device comprises a first complementary metal-oxygen-semiconductor circuit and a first comparator. The first complementary metal-oxygen-semiconductor circuit is configured for outputting a power signal or a pull-down signal according to the first input signal. The first comparator comprises a first non-inverting input terminal and a first inverting input terminal. The first non-inverting input terminal is coupled to the first complementary metal-oxygen-semiconductor circuit, and is configured to receive the power signal or the pull-down signal. The first inverting input terminal is configured for receiving a first reference signal, and the first comparator is configured to compare one of the power signal and the pull-down signal and the first reference signal to provide a first driving signal.

Abstract: Disclosed is a light-emitting diode display module, including a first light-emitting diode, a second light-emitting diode, a third light-emitting diode, a scan block, a voltage conversion block, a first sink block, and a second sink block. An operating voltage of the first light-emitting diode is lower than that of the second and third light-emitting diodes. The voltage conversion block provides an auxiliary power supply voltage based on a high power supply voltage and a low power supply voltage. The first light-emitting diode is coupled between the scan block and the first sink block receiving the high power supply voltage and the auxiliary power supply voltage. The second light-emitting diode and the third light-emitting diode are coupled between the scan block and the second sink block receiving the high power supply voltage and the low power supply voltage.

Abstract: A method for classifying multi-granularity breast cancer genes based on a double self-adaptive neighborhood radius includes large-scale gene locus data are read and normalized, and a data analysis is performed on the large-scale gene loci. An optimum value K is selected by adopting a combination of contour coefficients and a PCA dimensionality reduction visualization, and a model of information granulation is adjusted. A heuristic reduction algorithm is used to implement a multi-granularity attribute reduction of a self-adaptive neighborhood radius based on a cluster center distance and a multi-granularity attribute reduction of a neighborhood radius based on an attribute inclusion degree, and big data for breast cancer genes are classified and predicted by adopting a machine learning classification algorithm based on a SVM support vector machine.

Abstract: Disclosed is a light-emitting diode display module, including a first light-emitting diode, a second light-emitting diode, a third light-emitting diode, a scan block, a voltage conversion block, a first sink block, and a second sink block. An operating voltage of the first light-emitting diode is lower than that of the second and third light-emitting diodes. The voltage conversion block provides an auxiliary power supply voltage based on a high power supply voltage and a low power supply voltage. The first light-emitting diode is coupled between the scan block and the first sink block receiving the high power supply voltage and the auxiliary power supply voltage. The second light-emitting diode and the third light-emitting diode are coupled between the scan block and the second sink block receiving the high power supply voltage and the low power supply voltage.

Abstract: A method for classifying multi-granularity breast cancer genes based on a double self-adaptive neighborhood radius includes large-scale gene locus data are read and normalized, and a data analysis is performed on the large-scale gene loci. An optimum value K is selected by adopting a combination of contour coefficients and a PCA dimensionality reduction visualization, and a model of information granulation is adjusted. A heuristic reduction algorithm is used to implement a multi-granularity attribute reduction of a self-adaptive neighborhood radius based on a cluster center distance and a multi-granularity attribute reduction of a neighborhood radius based on an attribute inclusion degree, and big data for breast cancer genes are classified and predicted by adopting a machine learning classification algorithm based on a SVM support vector machine.

Abstract: A driving device comprises a first complementary metal-oxygen-semiconductor circuit and a first comparator. The first complementary metal-oxygen-semiconductor circuit is configured for outputting a power signal or a pull-down signal according to the first input signal. The first comparator comprises a first non-inverting input terminal and a first inverting input terminal. The first non-inverting input terminal is coupled to the first complementary metal-oxygen-semiconductor circuit, and is configured to receive the power signal or the pull-down signal. The first inverting input terminal is configured for receiving a first reference signal, and the first comparator is configured to compare one of the power signal and the pull-down signal and the first reference signal to provide a first driving signal.

Abstract: A two-dimensional code, a two-dimensional code generation method, identification method, generation apparatus, and identification apparatus, and a storage medium are provided. The two-dimensional code includes a square module array including an array of m*m modules, a location detection pattern and a data information pattern. The location detection pattern determines a location of the two-dimensional code, the data information pattern is configured to carry data information, each module of the array of m*m modules is at least one of a first-type module and a second-type module, a color attribute of the first-type module is different from a color attribute of the second-type module, and m is at least one of 17, 18, 19, and 20.

Abstract: Embodiments of this application disclose an object on which a two-dimensional code is disposed, a two-dimensional code generation method, identification method, generation apparatus, and identification apparatus, and a storage medium. The two-dimensional code includes a square module array of m*m modules. The square module array includes a location detection pattern and a data information pattern. The location detection pattern is used for determining a location of the two-dimensional code. The data information pattern is used for carrying data. m=17 or 18 or 19 or 20. Even if printed in a miniature area whose side length is 0.5 cm to 0.7 cm, a miniature two-dimensional code provided in the embodiments of this application can still be normally identified, and is suitable for being used in a small area application scenario such as an inner side of a bottle cap or a corner of an object.

Abstract: A method for detecting a two-dimensional barcode is provided. Binarization processing is performed on an image to obtain a binary image. Whether the binary image has a target pattern is determined, and it is determined that the binary image has a two-dimensional barcode in response to determining that the binary image has the target pattern. An enlarged image of the two-dimensional barcode is obtained, and two-dimensional barcode detection is performed on the enlarged image of the two-dimensional barcode.

Abstract: A cleaning liquid having an excellent corrosion inhibition function, and a method for manufacturing the same. The cleaning liquid contains alkanol hydroxyamine represented by general formula (1), and a basic compound other than the alkanol hydroxyamine. In the formula, Ra1 and Ra2 each independently represents a C1-C10 alkyl group having one to three hydroxy groups, or a hydrogen atom, and Ra1 and Ra2 are not simultaneously a hydrogen atom.

Abstract: A cleaning liquid and an anticorrosion agent having an excellent corrosion inhibition function, and a method for manufacturing the same. The cleaning liquid contains alkanol hydroxyamine represented by general formula (1), alkanolamine represented by general formula (2), a solvent, and a basic compound other than the alkanol hydroxyamine and the alkanolamine or an acidic compound. In the general formula (1), Ra1 and Ra2 each independently represents a C1-C10 alkyl group having one to three hydroxy groups, or a hydrogen atom, Ra1 and Ra2 are not simultaneously a hydrogen atom, and Rb1 and Rb2 are not simultaneously a hydrogen atom.

Abstract: A method for detecting a two-dimensional barcode is provided. Binarization processing is performed on an image to obtain a binary image. Whether the binary image has a target pattern is determined, and it is determined that the binary image has a two-dimensional barcode in response to determining that the binary image has the target pattern. An enlarged image of the two-dimensional barcode is obtained, and two-dimensional barcode detection is performed on the enlarged image of the two-dimensional barcode.

Abstract: A display substrate includes a rigid substrate, a flexible substrate, a pixel structure, and bonding terminals. The rigid substrate includes a portion corresponding to a display region of the display substrate. The flexible substrate is disposed on the rigid substrate, and includes a portion corresponding to the display region and a portion corresponding to a bonding region of the display substrate. The pixel structure is disposed in a region on the flexible substrate corresponding to the display region. The bonding terminals are disposed in a region one the flexible substrate corresponding to the bonding region. The portion of the flexible substrate corresponding to the bonding region is bendable.

Abstract: A cleaning liquid and an anticorrosion agent having an excellent corrosion inhibition function, and a method for manufacturing the same. The cleaning liquid contains alkanol hydroxyamine represented by general formula (1), alkanolamine represented by general formula (2), a solvent, and a basic compound other than the alkanol hydroxyamine and the alkanolamine or an acidic compound. In the general formula (1), Ra1 and Ra2 each independently represents a C1-C10 alkyl group having one to three hydroxy groups, or a hydrogen atom, Ra1 and Ra2 are not simultaneously a hydrogen atom, and Rb1 and Rb2 are not simultaneously a hydrogen atom.

Abstract: A cleaning liquid having an excellent corrosion inhibition function, and a method for manufacturing the same. The cleaning liquid contains alkanol hydroxyamine represented by general formula (1), and a basic compound other than the alkanol hydroxyamine. In the formula, Ra1 and Ra2 each independently represents a C1-C10 alkyl group having one to three hydroxy groups, or a hydrogen atom, and Ra1 and Ra2 are not simultaneously a hydrogen atom.

Abstract: A data processing device is provided, which includes: a main battery that supplies main power to the data processing device; a backup battery that supplies backup power to the data processing device when the main battery does not supply the main power to the data processing device; a receiving module that receives a standby command or a recovery command; a standby module that enables the data processing device to operate in a standby mode when the receiving module receives the standby command, allowing replacement of the main battery; a recovery module that determines, when the data processing device is operating in the standby mode, whether the main power is enough to enable the data processing device to operate normally, and enables the data processing device to operate in an operation mode when the main power is determined to be enough to enable the data processing device to operate normally.