Abstract: The present disclosure provides a risk assessment method of water inrush in tunnels constructed in water-rich grounds. The method includes the following steps: simulating a tunnel excavation process by finite element software MIDAS GTS NX and fluid-structure interaction; according to a research method of control variables, analyzing effects of a groundwater level, an elastic modulus and advanced pipe shed grouting on the stability of surrounding rock, and improving an algorithm of a radial basis function (RBF) neural network using a Grey Relation Analysis (GRA)-based Partitioning Around Medoid (PAM) clustering algorithm to assess risks of water inrush occurring in Qingdao area.

Abstract: The present disclosure provides a multi-factor quantitative analysis method for deformation of a neighborhood tunnel. The method includes the following steps: analyzing monitoring data generated at a tunnel site; simulating collapse occurring at a shallow buried section of a tunnel; determining the degree of influence of each factor on the tunnel and a stratum; and determining quantitative influence of each factor on tunnel deformation. The present disclosure can not only provide an accurate theoretical basis for the construction of the shallow buried section of the small-distance tunnel, but also guarantee safety and cost saving during tunnel construction.

Abstract: The present disclosure provides a capacitive touch screen device, a reading method thereof, and a display device. A plurality of pixel units is divided into a plurality of touch detection regions. A touch sensing unit is configured for each touch detection region to detect charges in the touch detection region, thereby reducing a number of touch sensing units and independently collecting the charge detected by each touch sensor unit, further improving sensing accuracy. A plurality of read lines is added to correspond to each column of read units, simplifying in-plane lines.

Abstract: A charge detection circuit and a detection method thereof and a display panel are provided. A second storage capacitor is added to the charge detection circuit. The second storage capacitor can continuously accumulate the charge amount of a second thin film transistor. When a third thin film transistor is turned on, all the charges accumulated by the second storage capacitor flow into an integrator, so that second thin film transistor does not need to be operated in a linear region. Increasing the charge amount of the charge detection circuit is beneficial for the display panel to distinguish light sensor signals.

Abstract: The present disclosure provides a capacitive touch screen device, a reading method thereof, and a display device. A plurality of pixel units is divided into a plurality of touch detection regions. A touch sensing unit is configured for each touch detection region to detect charges in the touch detection region, thereby reducing a number of touch sensing units and independently collecting the charge detected by each touch sensor unit, further improving sensing accuracy. A plurality of read lines is added to correspond to each column of read units, simplifying in-plane lines.

Abstract: Provided are systems and methods for determination of a concentration of one or more blood biomarkers of a human subject. The method including: determining, using a first machine learning model trained with a hemoglobin concentration (HC) changes training set, bit values from a set of bitplanes in a captured image sequence that represent the HC changes of the subject, the set of bitplanes being those that are determined to approximately maximize a signal-to-noise ratio (SNR), the HC changes training set including bit values from each bitplane of images captured from a set of subjects for which HC changes are known; determining, using a second machine learning model trained using a blood biomarkers training set, concentration of one or more blood biomarkers, the blood biomarkers training set including previously determined HC change signals from other subjects and one or more blood panels from those subjects as ground truth data.

Abstract: A charge detection circuit and a detection method thereof and a display panel are provided. A second storage capacitor is added to the charge detection circuit. The second storage capacitor can continuously accumulate the charge amount of a second thin film transistor. When a third thin film transistor is turned on, all the charges accumulated by the second storage capacitor flow into an integrator, so that second thin film transistor does not need to be operated in a linear region. Increasing the charge amount of the charge detection circuit is beneficial for the display panel to distinguish light sensor signals.

Abstract: Provided are systems and methods for determination of a concentration of one or more blood biomarkers of a human subject. The method including: determining, using a first machine learning model trained with a hemoglobin concentration (HC) changes training set, bit values from a set of bitplanes in a captured image sequence that represent the HC changes of the subject, the set of bitplanes being those that are determined to approximately maximize a signal-to-noise ratio (SNR), the HC changes training set including bit values from each bitplane of images captured from a set of subjects for which HC changes are known; determining, using a second machine learning model trained using a blood biomarkers training set, concentration of one or more blood biomarkers, the blood biomarkers training set including previously determined HC change signals from other subjects and one or more blood panels from those subjects as ground truth data.

Abstract: A display panel and a display device are provided. The display panel includes an array substrate, an opposite substrate, and a liquid crystal layer between the array substrate and the opposite substrate. The array substrate is located above the opposite substrate near a light emerging side of the display panel. A photosensitive device is disposed inside the assay substrate, and a path for the photosensitive device to receive ambient light avoids a color resist layer in the display panel. The photosensitive device is not affected by the color resist layer when receiving infrared light from the outside, which can eliminate red spots on a display screen.

Abstract: Provided are systems and methods for determination of a concentration of one or more blood biomarkers of a human subject. The method including: determining, using a first machine learning model trained with a hemoglobin concentration (HC) changes training set, bit values from a set of bitplanes in a captured image sequence that represent the HC changes of the subject, the set of bitplanes being those that are determined to approximately maximize a signal-to-noise ratio (SNR), the HC changes training set including bit values from each bitplane of images captured from a set of subjects for which HC changes are known; determining, using a second machine learning model trained using a blood biomarkers training set, concentration of one or more blood biomarkers, the blood biomarkers training set including previously determined HC change signals from other subjects and one or more blood panels from those subjects as ground truth data.

Abstract: A display panel and a display device are provided. The display panel includes an array substrate, an opposite substrate, and a liquid crystal layer between the array substrate and the opposite substrate. The array substrate is located above the opposite substrate near a light emerging side of the display panel. A photosensitive device is disposed inside the assay substrate, and a path for the photosensitive device to receive ambient light avoids a color resist layer in the display panel. The photosensitive device is not affected by the color resist layer when receiving infrared light from the outside, which can eliminate red spots on a display screen.