Abstract: An embodiment of the present disclosure provides a microfluidic chip, including: a first substrate; wherein the first substrate includes a first base, a first electrode layer on the first base; the first electrode layer includes a plurality of first electrodes at intervals along a first direction, wherein a cross-sectional shape of the first electrode parallel to the first base is a centrosymmetric shape, and the cross-sectional shape includes: a first boundary and a second boundary opposite to each other in the first direction; a shape of the first boundary is a centrosymmetric curve, a distance between two end points of the first boundary in a second direction perpendicular to the first direction is less than a length of the first boundary; the second boundary has a same shape and length as the first boundary, and the first and second boundaries are parallel to each other in the first direction.

Abstract: The present disclosure provides a microfluidic chip, and belongs to the field of biological detection technology. The microfluidic chip is divided into a middle region and a peripheral region surrounding the middle region; the middle region includes a liquid storage region and a detection region; the microfluidic chip includes a first substrate and a second substrate opposite to each other; the first substrate includes a first base plate and a first electrode layer; the second substrate includes a second base plate and a second electrode layer; wherein a liquid storage tank and a liquid inlet are on a side of the first base plate proximal to the second substrate, the liquid inlet penetrates through a bottom of the liquid storage tank; the liquid storage tank and the liquid inlet are both in the liquid storage region.

Abstract: A method of hop count matrix recovery based on a decision tree classifier, includes: S1: performing a flooding process to acquire a hop count matrix {tilde over (H)} with missing entries; S2: constructing a training sample set according to relationships between a part of observed hop counts in the hop count matrix {tilde over (H)}, and modeling the observed hop counts in the hop count matrix as labels of the training sample set, wherein a maximum hop count represents a number of classes; S3: training a decision tree classifier according to the training sample set obtained in step S2; and S4: constructing a feature for an unobserved hop count, to obtain an unknown sample; and inputting the unknown sample to the trained decision tree classifier, to obtain a class of the unknown sample which represents a missing hop count at a corresponding position in the matrix, to recover a complete hop count matrix H.

Abstract: The disclosure provides a micro-fluidic chip, and belongs to the field of chip technology. The microfluidic chip provided in the present disclosure includes a plurality of microfluidic units, each microfluidic unit includes an operation region and a transition region located on at least one side of the operation region, the transition regions at adjacent side of two adjacent microfluidic units are disposed opposite to each other. Each microfluidic unit includes: a first substrate; a first electrode layer disposed on the first substrate, the first electrode layer including a plurality of first sub-electrodes located in the operation region and at least one second sub-electrode located in the transition region, and the at least one second sub-electrode configured to drive a droplet to move from one of the plurality of microfluidic units to an adjacent microfluidic unit.

Abstract: A microfluidic apparatus is provided. The microfluidic apparatus includes an electrochromic layer including a plurality of individually independently addressable regions; a microfluidic layer defining a microfluidic channel for allowing a microfluid to pass therethrough; and a plurality of photodetectors configured to detect light transmit through the microfluid.

Abstract: Provided are a temperature control system, a detection system and a temperature control method for a micro-fluidic chip. The temperature control system includes a circuit structure in a functional layer of the micro-fluidic chip, corresponding to a reaction zone of the micro-fluidic chip, and including at least two thermistors and an input port and an output port, wherein the input port and the output port are electrically coupled through the thermistors to form an application circuit; and a controller electrically coupled to each port and configured to select a first input port and a first output port, such that the circuit structure is configured to form a first application circuit as a heating device, and to select a second input port and a second output port, such that the circuit structure is configured to form a second application circuit as a temperature sensor.

Abstract: A wind power prediction method and system for optimizing a deep Transformer network by whale optimization algorithm are disclosed. The sequence data of wind power and related influence factors are taken as sample data which is divided into a training set and a test set, where the data is trained and predicted by a Transformer network model established according to values of the initialized hyper-parameters, and an average absolute error of wind power prediction is taken as a fitness value of each whale group. A local optimal position is determined according to the initial fitness value of individual whale group, and the current optimal position is updated by utilizing whale group optimization, and the best prediction effect is obtained by comparing the local optimal solution with the global optimal solution. An optimal hyper-parameter combination is obtained after multiple iterations of the whale optimization algorithm, and the wind power is predicted.

Abstract: The disclosure discloses a single-ended fault positioning method and system for a HVDC power transmission line based on a hybrid deep network. The method comprises the following: collecting rectification side bus output voltage and current signals of a HVDC power transmission system under different fault types, fault distances and transition resistances as an original data set; eliminating electromagnetic coupling of the bipolar direct-current line by using phase-mode transformation, extracting IMF components of fault voltage and current signals under different fault scenes by using variational mode decomposition, and calculating TEO of the IMF components to obtain a fault data set after feature engineering; normalizing the fault data set, and dividing the fault data set into a training set and a test set; and successively inputting the training set and the test set into a hybrid network of a convolutional neural network and a long short-term memory network for training and testing.

Abstract: The present disclosure provides a microfluidic chip, including: first base substrate and a second base substrate opposite to each other; first electrode and second electrode between the first base substrate and the second base substrate and configured to control droplet to move between the first base substrate and the second base substrate according to voltages applied on the first electrode and the second electrode; light guide component configured to guide light propagating in the first base substrate to the droplet; shading component and detection component, shading component having light transmission regions spaced from each other, light transmission regions being configured to transmit light passing through the droplet to the detection component, wherein detection component is on second base substrate and is configured to obtain property of the droplet according to an intensity of the light passing through droplet and received from the light transmission regions.

Abstract: The embodiments of the present disclosure relate to a microfluidic chip. The microfluidic chip may include a substrate. The substrate may include an electrode layer on a base substrate, a dielectric layer on the electrode layer, and a lyophobic layer on the dielectric layer. The electrode layer may include a plurality of electrode units. Each of the plurality of electrode units may be configured to realize both droplet detection and droplet driving in response to a detection signal and a driving signal respectively.

Abstract: The present disclosure discloses a temperature-controllable large-size geotechnique true triaxial multi-field coupling test system and a test method. The system includes a host loading mechanism, a deformable large-size soil box, an independent three-dimensional loading unit, a refrigeration, water and salt supplementation unit, and a soil-water-ice-salt change monitoring unit. The deformable large-size soil box is arranged on the host loading mechanism. In combination with the special structural design, monitoring is carried out by dividing a large-size soil test sample into environmental soil and a core soil region to eliminate the size effect of the test. The solution can simulate a three-dimensional stress state of the soil test sample in a three-dimensional open system. In consideration of the evolution of hydrothermal salt and three-dimensional migration of temperature, water, salt, etc. between the soil and the environment, temperature-water-salt-stress-strain multi-field coupling is realized.

Abstract: Provided is a micro-fluidic chip, including a first substrate and a second substrate opposite to each other. A liquid storage cavity is formed between the first substrate and the second substrate, and a liquid inlet hole penetrating through the first substrate in a thickness direction is formed in the first substrate. The first substrate includes a first electrode layer and a hydrophobic layer that are sequentially disposed in the thickness direction of the first substrate, and the first electrode layer is on a surface of the hydrophobic layer away from the second substrate. The second substrate includes an adjustment layer and a second electrode layer that are sequentially disposed in a thickness direction of the second substrate, and the second electrode layer is on a surface of the adjustment layer away from the first substrate. A micro-fluidic system and a control method of the micro-fluidic chip are also provided.

Abstract: A microfluidic device and a detection method for the microfluidic device are provided. The microfluidic device includes a driving substrate configured to drive a movement of a droplet; and a position detector configured to detect a position of the droplet on the driving substrate.

Abstract: A microfluidic apparatus is provided. The microfluidic apparatus includes an electrochromic layer including a plurality of individually independently addressable regions; a microfluidic layer defining a microfluidic channel for allowing a microfluid to pass therethrough; and a plurality of photodetectors configured to detect light transmit through the microfluid.

Abstract: The embodiments of the present disclosure relate to a microfluidic chip. The microfluidic chip may include a substrate. The substrate may include an electrode layer on a base substrate, a dielectric layer on the electrode layer, and a lyophobic layer on the dielectric layer. The electrode layer may include a plurality of electrode units. Each of the plurality of electrode units may be configured to realize both droplet detection and droplet driving in response to a detection signal and a driving signal respectively.

Abstract: The present disclosure provides a PCR substrate, a PCR chip, a PCR system, and a liquid droplets pull-out method. The PCR substrate includes a first base; a driving structure disposed on the first base and configured to drive liquid droplets to move; where the first base includes an injection region, a stretching region and an amplification region, and the driving structure is configured to enable liquid in the injection region to form liquid droplets in the stretching region and enable the liquid droplets to move in the amplification region according to a predetermined track.

Abstract: The present disclosure discloses a microfluidic structure, a microfluidic chip and a detection method. The microfluidic structure includes: a first base substrate and a second base substrate opposite to each other, an antibody area located between the first base substrate and the second base substrate and storing an enzyme-labeled first antibody, a cleaning area storing cleaning liquid, a signal substrate area storing a signal substrate solution and a detection area with a second antibody and an ion sensitive film fixed thereon, wherein all channel areas from the antibody area, the cleaning area and the signal substrate area to the detection area each have a driving electrode structure driving liquid drops to move; and the detection area has a thin film transistor connected with the ion sensitive film.

Abstract: The present disclosure provides a microfluidic chip, a biological detection device and a method. The microfluidic chip includes: a first substrate and a second substrate that are oppositely disposed; a first electrode and a second electrode that are oppositely disposed between the first substrate and the second substrate, the first electrode including a plurality of spaced first electrode units, and the second electrode including a plurality of spaced second electrode units, wherein the first electrode units are disposed oppositely to the second electrode units in one-to-one correspondence; a first dielectric layer and a second dielectric layer between the first electrode and the second electrode; a first hydrophobic layer and a second hydrophobic layer between the first dielectric layer and the second dielectric layer, wherein a gap is between the first hydrophobic layer and the second hydrophobic layer.

Abstract: A cell detection method and a cell detection device. The cell detection method includes: dividing a liquid sample into a plurality of droplets in a sample detection region so that each of the plurality of droplets includes fewer than ten cells; and performing optical detection on the plurality of droplets in the sample detection region to determine a target droplet including a target cell from the plurality of droplets.

Abstract: A microfluidic chip and a detection method using the microfluidic chip. The microfluidic chip includes: at least one micro-chamber; a photocathode located on a side of the at least one micro-chamber and configured to receive photons emitted from the micro-chamber to generate electrons; a micro-channel plate located on a side of the photocathode away from the micro-chamber and configured to multiply the electrons generated by the photocathode; and a first electrode located on a side of the micro-channel plate away from the photocathode; the micro-channel plate includes a plurality of micro-channels extending substantially in a thickness direction of the micro-channel plate, a secondary electron emission layer is provided on an inner wall of each of the plurality of micro-channels, and the first electrode is configured to detect the electrons that are multiplied by the micro-channel plate.