Abstract: The current innovation pertains to the medical data processing domain and introduces a method for formulating an iNPH prediction model using a new/old stimulus BCI paradigm. The process involves conducting new/old stimulus BCI paradigm experiments on a target population both before and after the Lumbar Tap Test, obtaining electroencephalogram (EEG) signal data. After preprocessing the EEG signal data, the model extracts features related to new and old stimulus event-related potentials before and after the test, specifically focusing on P600 amplitude features. The iNPH prediction model is then trained based on these event-related potential features. This innovation facilitates quantifying cognitive function improvement, aiding physicians in prompt iNPH diagnosis and enabling timely and effective patient treatment.

Abstract: The present invention relates to the technical field of medical data processing, and discloses an iNPH prediction method based on a visual Oddball paradigm, comprising: performing the same visual Oddball paradigm experiments on a target population before and after the target population undergoes LTT, and obtaining an electroencephalography (EEG) signal data; Pre-processing the EEG signal data, and obtaining an event-related potential feature, the event-related potential feature being a P300 amplitude feature; Based on the event-related potential feature, the iNPH prediction model is trained to obtain the iNPH prediction model.

Abstract: A method for rapidly calculating intersection over union (IOU) between a target region and a designated region in an image is used in an electronic device. The electronic device detects a target object from an image received from a monitored location, and determines a designated region, a target region, and a combined region from the image, the target region including the target object. The electronic device calculates a first area of the designated region, a second area of the target region, and a third area of the combined region, and calculates a value of IOU according to formula of SIOU=(S1+S2?S3)/S2. S1 represents the first area, S2 represents the second area, and S3 represents the third area. The electronic device issues an intrusion warning in or concerning a monitored region according to a comparison result between the value of IOU and a preset threshold.

Abstract: A method for filtering out a background audio signal includes: obtaining a first audio signal collected during playing of the background audio signal, the background audio signal being an audio signal obtained by adding watermark information to an original audio signal; separating the first audio signal to obtain the watermark information and a second audio signal without the watermark information; querying the preset correspondence according to the watermark information to obtain the original audio signal corresponding to the watermark information; and filtering out the original audio signal from the second audio signal to obtain a target audio signal.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: A method for rapidly calculating intersection over union (IOU) between a target region and a designated region in an image is used in an electronic device. The electronic device detects a target object from an image received from a monitored location, and determines a designated region, a target region, and a combined region from the image, the target region including the target object. The electronic device calculates a first area of the designated region, a second area of the target region, and a third area of the combined region, and calculates a value of IOU according to formula of SIOU=(S1+S2?S3)/S2. S1 represents the first area, S2 represents the second area, and S3 represents the third area. The electronic device issues an intrusion warning in or concerning a monitored region according to a comparison result between the value of IOU and a preset threshold.

Abstract: The present disclosure provides a drain-gate voltage excitation and source-drain current acquisition system and method for gas-sensitive organic field effect transistors (OFETs). The system includes an acquisition device and a gas-sensitive OFET array. The device includes a microcontroller module, a power supply management module, a voltage excitation module, a voltage regulation module, a transimpedance amplifier (TIA) module, a fully-differential low-side current detection module, a voltage acquisition module, a signal transmission module and an array switching module. In the present disclosure, the real-time monitoring of various harmful gases and the performance testing of the gas-sensitive OFETs are realized. The device has two current detection modes, thereby not only stabilizing drain electric potentials, but also enabling drain-source currents to be measured with sufficient accuracy.

Abstract: In one aspect, compounds of Formula AA, or a pharmaceutically acceptable salt thereof, are featured: or a pharmaceutically acceptable salt thereof, wherein the variables shown in Formula A can be as defined anywhere herein.

Abstract: In one aspect, compounds of Formula AA, or a pharmaceutically acceptable salt thereof, are featured or a pharmaceutically acceptable salt thereof, wherein the variables shown in Formula A can be as defined anywhere herein.

Abstract: In one aspect, compounds of Formula AA, or a pharmaceutically acceptable salt thereof, are featured: or a pharmaceutically acceptable salt thereof, wherein the variables shown in Formula A can be as defined anywhere herein.

Abstract: The invention discloses a parametric system for testing a capability of auditory spatial positioning and a method of providing a parametric minimum audible angle. The system includes: an host computer system calculating spatial movement data and communicating with a slave computer; a spatial movement system realizing control of any spatial position through circumferential movement, radial movement and vertical movement; a real-time three-dimensional display system built into the host computer system; an audio system randomly generates a type of audio data of a sound source and a sound source with equal-difference decibels; and a test system for matching human spatial positioning results to sound source spatial data and providing an objective evaluation. The invention further provides a method of providing a parametric minimum audible angle for a capability of auditory spatial positioning, the invention improves the control accuracy.

Abstract: The present invention discloses a BNP aptamer fluorescence detection device based on a smart phone and a sensing method thereof, including a detection control mechanism, a fluorescence rapid detection mechanism and an aptamer fluorescence sensor. The aptamer fluorescence sensor uses oligonucleotides marked by carboxy fluorescein as an aptamer to capture the BNP specificity. The detection control mechanism receives a fluorescence signal to display test results. The fluorescence rapid detection mechanism uses the OTG function as a plug-in power supply. The present invention fills the gap of portable fluorescence detection for digital BNP.

Abstract: The present disclosure discloses an automatic detection system for depressive disorder based on high frequency ASSR. The system includes an auditory stimulation module, a data acquisition module, a signal processing module, a depression detection module and an output module; the auditory stimulation module presents 40 Hz frequency-increasing sound stimulation signals to a user; the data acquisition module acquires EEG signals by a non-intrusive method for preprocessing to obtain ASSR data; the signal processing module extracts depressive disorder-related EEG features from the ASSR data; the depression detection module identifies a user depression state through decision fusion of the depressive disorder-related EEG features; and the output module identifies the user depression state according to the EEG features to generate an evaluation report for abnormity in EEG response, and feeds it back to the user.

Abstract: Disclosed is an elastic electroencephalography dry electrode, comprising an electrode base and a plurality of dry electrode units, which are fixedly arranged on the electrode base, wherein each dry electrode unit comprises an elastic supporting element and at least one electrode probe element; one end of the elastic supporting element is fixed to the electrode base, and the other end thereof is connected to the electrode probe element; the electrode probe element is used for being in contact with a scalp to collect an electroencephalography signal; the elastic supporting element is used for transmitting the electroencephalography signal; and the electrode base comprises an electrode substrate element, an electrode unit fixing element and an electrode displacement limiting element. Further disclosed are an electroencephalography device and an application system.

Abstract: In a management method and system for a shared radio unit and a computer-readable storage medium, N user groups are created for N operators, where N is a positive integer greater than 1; resources of the shared radio unit are divided into public resources and N private resources; the N user groups and the N private resources are bound correspondingly, and the N user groups are set to only have access to corresponding private resources bound in the N private resources; resource permissions of the shared radio unit are initialized, and account passwords configured for the N user groups are sent to the corresponding N operators respectively; and the N operators configures parameters to a data model language database according to the account passwords.

Abstract: Embodiments of this application provide a human-computer interaction method, a human-computer interaction apparatus, and a storage medium. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: The present invention relates to an electrochemical sensing intelligent chamber with integrated environmental parameters, comprising a chamber body of the intelligent chamber for electrochemical sensing and detection. A communication control unit, a temperature monitoring unit, a gas detection unit and an electrochemical sensing and detection unit are arranged in the chamber body. An environmental parameter monitoring unit that can monitor temperature and gas is integrated; and all monitored environmental variables may be uploaded to a smart phone for a user to view. Operation steps in the electrochemical sensor measurement process conducted in the chamber body are fully automated.

Abstract: An image transformation method includes: obtaining identification information of an original image; converting the identification information to an identification image; performing frequency domain transformation on the original image to obtain a pixel matrix of the original image in a frequency domain space; performing matrix decomposition on the pixel matrix to obtain an image brightness matrix; converting pixel values of corresponding pixels in the image brightness matrix based on pixel values of pixels in the identification image to obtain a converted brightness matrix; and performing inverse frequency domain transformation on the converted brightness matrix to obtain a transformed image including invisible identification information, and adding the invisible identification information to the original image.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.