Abstract: The present disclosure discloses a sample preliminary screening chip, a specimen detecting method and a screening device. A data processor may be configured to control a sample solution containing a specimen to be added into a preliminary screening inlet of the sample preliminary screening chip, and control the sample solution in the preliminary screening inlet to enter a channel, successively to flow through a first preliminary screening area and a second preliminary screening area, and to flow out from a preliminary screening outlet so as to store a liquid with the specimen in a first preliminary screening area. In this way, the liquid containing the specimen may be screened preliminarily.

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: The present disclosure provides a digital microfluidic nucleic acid detection chip, detection method, and detection apparatus. The digital microfluidic nucleic acid detection chip includes: a first substrate and a second substrate assembled with the first substrate, and a cavity formed between the first substrate and the second substrate includes a functional region (AC), which is configured to perform a nucleic acid detection processing on a droplet to be detected and obtain a hybridization color development signal for indicating whether a target gene exists in the droplet to be detected; the first substrate at least includes a plurality of drive units, which are configured to drive the droplet to be detected to move, a volume of the droplet to be detected is 10 ?l to 200 ?l, and a dimension of a drive unit is 2 mm to 100 mm in a moving direction of the droplet to be detected.

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 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: Provided in the present disclosure are a digital micro-fluidic apparatus, a driving method therefor, and the use thereof. The digital micro-fluidic apparatus comprises a digital micro-fluidic chip, the digital micro-fluidic chip at least comprising a drive electrode and a reference electrode, and the reference electrode being configured to write in a first reference voltage. The drive electrode is configured to alternately write in a first scanning voltage and a second scanning voltage so as to be alternately in an actuated state and a non-actuated state. In the actuated state, the drive electrode is configured to actuate composite liquid drops present therein; and in the non-actuated state, the drive electrode is configured to not actuate the composite liquid drops present therein.

Abstract: A microfluidic chip and a detection system, a detection method and a manufacturing method therefor are provided. A crimping device for the microfluidic chip includes a cover plate, a bottom plate and at least one probe assembly. The bottom plate is assembled with the cover plate. The bottom plate is provided with a carrying recess. A mouth of the carrying recess faces the cover plate, and a bottom of the carrying recess is provided with an opening. The probe assembly includes a plurality of probes. The probe assembly is fixedly connected with the bottom of the carrying recess. Ends, proximate to the cover plate, of the plurality of probes are configured to be in contact with the microfluidic chip; and ends, away from the cover plate, of the plurality of probes pass through the opening.

Abstract: Christensenella sp MNO-863 deposited under the Access number of GDMCC No: 61117 may be used for treating or preventing liver function damage and related diseases, digestive tract mucosa damage and related diseases, diabetes, obesity, and/or related diseases. Christensenella sp MNO-863 may also be used in combination with hypoglycemic and lipid-lowering drugs, and has a synergistic effect on liver function damage and related diseases, diabetes, and obesity and related diseases.

Abstract: A detection system applied to detection of microfluidic chips, includes: a detection chip including a base substrate, an electrode layer and a microfluidic channel layer for accommodating a sample solution having magnetic beads, the base substrate is provided with a bearing surface, the electrode layer is on the bearing surface, the microfluidic channel layer is on the side of the electrode layer away from the base substrate, the electrode layer includes electrodes including at least one strong magnetic electrode and driving electrodes; a magnetic field device being on the side of the base substrate away from the electrode layer, and having a strong magnetic region corresponding one to one to the strong magnetic electrode; a driving mechanism being connected to the magnetic field device, and driving the magnetic field device to approach or move away from the detection chip in a direction that is perpendicular to the bearing surface.

Abstract: Provided are a microfluidic substrate, a microfluidic chip, and an assay device. The microfluidic substrate includes: a base substrate; a conductive layer arranged on the base substrate, patterns of the conductive layer includes one or more electrode patterns and one or more trace patterns, an orthogonal projection of at least a portion of each trace pattern onto the base substrate is on one side of an orthogonal projection of a corresponding electrode pattern onto the base substrate with a minimum spacing of greater than or equal to 4 micrometers from an outer contour of the electrode pattern.

Abstract: A digital microfluidics chip and a drive method thereof, and a digital microfluidics apparatus are provided. The digital microfluidics chip includes a first substrate (1) and a second substrate (2) which are oppositely disposed, the first substrate (1) is provided with a plurality of drive regions for driving a droplet to move, at least one drive region includes a drive transistor (50), a drive electrode (60), and a storage capacitor, the drive electrode (60) is connected with the drive transistor (50) and the storage capacitor respectively, and the storage capacitor is configured to be charged when the drive transistor (50) is turned on, and to maintain a voltage signal on the drive electrode (60) when the drive transistor (50) is turned off.

Abstract: A microfluidic substrate has a first straight region, a second straight region, and a first turning region, which is substantially of a ring sector and includes a first arc edge and a second arc edge that are opposite. The microfluidic substrate includes first straight driving electrodes in the first straight region, second straight driving electrodes in the second straight region, and turning driving electrodes the first turning region. A border of each turning driving electrode includes at least one first reference point coinciding with the first arc edge and at least one second reference point coinciding with the second arc edge. A radius of the first arc edge is greater than or equal to (?{square root over (3)}?1) times of a first dimension of a reference electrode, and a radius of the second arc edge is greater than or equal to 3/2 times of the first dimension of the reference electrode.

Abstract: A digital microfluidic apparatus and a driving method therefor. The digital microfluidic apparatus comprises a digital microfluidic chip (10), a thermal control apparatus (20), and an elastic support apparatus (30). The digital microfluidic chip (10) is provided with a droplet channel (91), and the droplet channel (91) is configured to allow droplets (90) to move therein; the thermal control apparatus (20) is disposed on one side of the digital microfluidic chip (10), and is configured to generate at least two independent and non-interference hot zones in the droplet channel (91), and control the temperature of each hot zone; and the elastic support apparatus (30) is disposed on the side of the thermal control apparatus (20) away from the digital microfluidic chip (10), and is configured to drive the thermal control apparatus (20) to be pasted on the surface of the digital microfluidic chip (10).

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: A biological detection chip, a biological detection device, and a detection method thereof are disclosed. The biological detection chip includes a first base substrate and a plurality of detection units arranged in an array along a row direction and a column direction on the first base substrate. Each of the plurality of detection units includes a thin film transistor and an electrode, the thin film transistor is on the first base substrate and includes a gate electrode, a source electrode, and a drain electrode, and the electrode is on a side of the thin film transistor away from the first base substrate and is connected to the drain electrode, and the electrode is configured to carry a biological material to be detected.

Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

Abstract: A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.

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: A method for detecting an emotional state of a user includes obtaining a first data stream indicative of facial appearance and gaze direction of the user as the user is viewing a scene, determining, based on the first data stream, facial expression feature information indicative of emotional facial expression of the user, obtaining a second data stream indicative of visual content in a field of view of the user, determining, based on the second data stream, visual feature information indicative of visual content in the scene, determining emotional state information based on analyzing the facial expression feature information determined based on the first data stream and the visual feature information determined based on the second data stream, and performing an operation with respect to the emotional state information, wherein the emotional state information is indicative of the emotional state of the user.