Abstract: The present invention relates to a targeted perception-oriented twin substructure interaction method and system, and application. The method includes: acquiring multivariate inspection and monitoring data and finite element influence line data of a main structure; solving, on the basis of the inspection and monitoring data and the finite element influence line data of a non-focus region, boundary conditions of a focus region; establishing, for the focus region, a refined twin substructure finite element model, and correcting material properties of the refined twin substructure finite element model on the basis of the inspection and monitoring data and the finite element influence line data of the focus region; and calculating a correction force on the basis of the boundary conditions of the focus region and the material properties, and using the correction force as an equivalent external load to act on nodes of a global finite element model.

Abstract: An automatic generation method for three-dimensional morphology of ruts in asphalt pavements comprises: constructing a standard rut cross-section representation model, classifying ruts, acquiring detection data of a rutted section of an asphalt pavement, selecting different rut cross-sections at equal intervals in a longitudinal direction of the pavement, denoising and smoothening the rut cross-sections, selecting feature points according to geometric fluctuation features of the rut cross-sections, connecting the feature points and fitting a cross-sectional curve based on an evolution law of rut deformation, and fusing multiple reconstructed rut cross-sections to realize automatic generation and visualization of three-dimensional morphology of a rut.

Abstract: A method and system for quantifying semantic variance between neural network representations is provided. Two neural network representations to be compared are first extracted, the weight of each filter in an intermediate layer corresponding to each semantic concept is learned on a reference dataset using the Net2Vec method, then set IoU of each representation for all semantic concepts in the reference dataset are calculated, and finally variance between the set IoU of the two representations for all the semantic concepts are integrated to obtain semantic variance between the two neural network representations. The method solves the problem of lack of accurate measurement on the variance between neural network representations on a semantic information level, and has an accurate measurement effect.

Abstract: A drug for the prevention or treatment of sepsis is provided. The drug comprises an exosome containing a circRNA MOTOR, and a nucleotide sequence corresponding to the circRNA MOTOR is shown in SEQ ID NO: 1.

Abstract: Six-membered high-entropy foam for hydrogen production by water splitting and preparation method are provided. The foam consists of Ni, Fe, Cu, Co, Mo, and Pt, comprising 10 at %-25 at % of Ni, 10 at %-25 at % of Fe, 10 at %-25 at % of Cu, 10 at %-25 at % of Co, 10 at %-25 at % of Mo, and 10 at %-25 at % of Pt. Catalyst loading of the foam can reach a range of 0.8 mg/cm2-3.2 mg/cm2, which is much higher than the effective catalyst loading of most nano-catalysts. When used as catalyst for hydrogen production by water splitting, the hydrogen evolution overpotential of the surface of the six-membered high-entropy foam is within a range of 36 mV-60 mV, and the foam operates stably at industrial-level current density (500 mA/cm2). The preparation method does not require harsh environment such as high temperature or high vacuum, making the method simple and easy to implement, with low-cost raw materials.

Abstract: A multispectral light field imaging system includes a primary lens, a microlens array, a first relay lens, a dichroic lens, a second relay lens, a third relay lens, a first image sensor, a first filter, a second image sensor and a second filter, wherein the microlens array is located at an image plane of the primary lens; the first relay lens together with the second relay lens and the third relay lens forms a 1:1 relay lens group imaging system on a spectral band 1 light path and a spectral band 2 light path respectively; the dichroic lens forms an included angle of 45° with a light axis; the first image sensor is located at a focal plane of the second relay lens, and the second image sensor is located at a focal plane of the third relay lens.

Abstract: Disclosed is NO donor compound and preparation method, pharmaceutical composition, and use. The compound has a structure represented by formula The NO donor compound and the pharmaceutical composition thereof, as hypoxia-activated NO donors, may be prepared as drugs for treating myocardial hypoxic damage disease. The prepared drugs can exert efficacy at both the cellular level and the animal level, and the synthesis method of the compound is simple and easy to operate.

Abstract: The provided is energy storage method and device for biomass cascade pyrolysis coupled with new energy power generation. The key point of the technical solution is that, with inexpensive, clean and safe biomass as energy storage medium, the redundant unstable electric energy is converted by a cascade pyrolysis energy storage system into an easy-to-store liquid and solid chemical energy in biomass pyrolytic products, and based on use requirements, can be further converted into clean fuels for power generation or exported renewable chemicals, so as to realize continuous stable output of the new energy power generation systems. Furthermore, the cascade pyrolysis energy storage system can, based on the principle of “energy level matching”, fully recover and utilize the electric energy, high-temperature heat energy and low-temperature heat energy generated in pyrolysis processes, thereby maximizing the energy utilization efficiency of the system.

Abstract: Disclosed is a lightweight hand exoskeleton force feedback apparatus, including a driver, a first rotating link, a second rotating link, a first linkage link, a second linkage link, a finger sleeve, and a pressure sensor fixing member; the driver is worn on a back of metacarpal bone of a human hand, the finger sleeve is fixed on an index finger, and the pressure sensor fixing member is fixed below the index finger; when the human hand bends to simulate a state of grasping an object, the driver drives the first rotating link to couple with the first linkage link and the second linkage link through the second rotating link to drive the finger sleeve to bend and stretch, force feedback is applied to the fingertip, and a pressure is accordingly imposed on a pressure sensor of the pressure sensor fixing member, so that closed-loop force feedback control is implemented.

Abstract: Provided are a multi-degree-of-freedom myoelectric artificial hand control system and a method for using same. The system comprises a robotic hand, a robotic wrist (2), a stump receiving cavity (1) and a data processor (3), wherein the robotic hand and the stump receiving cavity (1) are respectively mounted on two ends of the robotic wrist (2); a multi-channel myoelectric array electrode oversleeve, a control unit circuit board, and a battery are connected in the stump receiving cavity (1); and the other end of the control unit circuit board is connected to the robotic hand and the robotic wrist (2).

Abstract: Electronic-ink-based colorful patterned color-changing fabrics and preparation methods thereof are provided. The fabric includes a conductive fabric microstrip formed by weaving using conductive yarn and insulating yarn. The conductive yarn forms a conductive region, and the insulating yarn form an insulating region. An electronic ink microencapsule layer is arranged on the conductive region. A flexible transparent conductive layer is arranged on the electronic ink microencapsule layer. A transparent polymer layer is arranged on the flexible transparent conductive layer. A surface layer of the microstrip is a conductive layer, and a bottom layer of the microstrip is an insulating layer.

Abstract: The disclosure belongs to the technical field of materials for civil construction engineering, and specifically relates to a green and low carbon emission foamed lightweight soil prepared by using serpentine, magnesium oxide and CO2 as raw materials. In the serpentine carbon sequestration foamed lightweight soil, the ingredients of raw material include: magnesium oxide, serpentine, a filler, CO2 bubbles and water.

Abstract: A drug for the prevention or treatment of sepsis is provided. The drug comprises an exosome containing a circRNA MOTOR, and a nucleotide sequence corresponding to the circRNA MOTOR is shown in SEQ ID NO: 1.

Abstract: Disclosed is an optimization modeling and robust control method for a soft robot based on a fusion prediction equation, including the following steps: deriving measurement coordinates based on the fusion prediction equation; designing an observation function based on the measurement coordinates; identifying a Koopman model based on the observation function; and designing a robust model predictive controller based on the Koopman model. Further disclosed are a fusion prediction equation and a derivation method thereof, which can derive correct, abundant but non-redundant measurement coordinates, overcoming the problem of single measurement coordinates in a soft robot system, thereby being conducive to simplifying a design process of the observation function and further improving the accuracy of the Koopman model for the soft robot.

Abstract: The provided is energy storage method and device for biomass cascade pyrolysis coupled with new energy power generation. The key point of the technical solution is that, with inexpensive, clean and safe biomass as energy storage medium, the redundant unstable electric energy is converted by a cascade pyrolysis energy storage system into an easy-to-store liquid and solid chemical energy in biomass pyrolytic products, and based on use requirements, can be further converted into clean fuels for power generation or exported renewable chemicals, so as to realize continuous stable output of the new energy power generation systems. Furthermore, the cascade pyrolysis energy storage system can, based on the principle of “energy level matching”, fully recover and utilize the electric energy, high-temperature heat energy and low-temperature heat energy generated in pyrolysis processes, thereby maximizing the energy utilization efficiency of the system.

Abstract: A lossless exciting current sampling circuit for an isolated converter includes first and second voltage sampling circuits and a subtraction circuit formed by an operational amplifier. The two sampling circuits sample voltages of the primary winding of an isolation transformer, with outputs fed into the subtracter. The subtracter output is the circuit's output. RC low-pass filters with large time constants are used as primary voltage sampling circuits, realizing integration of voltage differences between the exciting inductance terminals, enabling lossless current sampling without resistors or transformers. The current sampling result is utilized for volt-second balance control, realized along with a hold circuit and comparator which compares the sampling hold result with the current sampling result to generate a control signal.

Abstract: The present disclosure discloses an asymmetric wavelength multiplexing and demultiplexing chip based on inverse design, which belongs to the technical field of optical components, systems or instrument. The chip includes the first-level asymmetric wavelength multiplexing and demultiplexing unit and the second-level symmetric wavelength multiplexing and demultiplexing unit, which is constructed by silicon based photonics integration technology, includes a substrate, a bottom cladding layer, a core layer and a top cladding layer sequentially stacked from bottom to top. The functional regions inside the first-level unit and the second-level unit are designed based on the inverse design algorithms, and are composed of subunits on the submicron or nanometer scale.

Abstract: Disclosed is an online estimation method for wrist torque based on neural features and LSTM, including following steps: (1) an experimenter keeps his/her arms stationary and applies torque to a torque sensor through his/her wrist; (2) acquiring data from the torque sensor and high-density surface EMG ((HD-sEMG) synchronously; (3) decomposing the HD-sEMG using a blind source separation algorithm to obtain a motor unit spike train (MUST); (4) constructing input and output vectors on the basis of the original HD-sEMG and the decomposed MUST, performing training of the LSTM, and performing polynomial regression of a discharge rate and torque of a neural feature; and (5) calculating a real-time discharge rate (DR) of the CST using a sliding window approach for real-time estimation of the torque.

Abstract: The provided is a novel heat-induction decoking device and method tailored for the thermal conversion of solid fuels. The efficient heat-induction decoking device for the thermal conversion of the solid fuels includes: a decoking tank body, which is configured to condense a macromolecular tar in a pyrolysis gas and discharge the condensed tar from a bottom to a tar tank for storage; an electromagnetic induction heating system, which is disposed on an outer wall surface of the decoking tank body to heat the outer wall surface of the decoking tank body; an ultrasonic vibration decoking system, which is disposed on the decoking tank body to enable the decoking tank body to generate vibration by ultrasonic wave so as to enhance tar fluidity. This innovative design not only reduces energy consumption and equipment wear but also extends system operational lifespan, thereby offering substantial improvements in economic and environmental sustainability.

Abstract: Disclosed is an EEG recognition method for a natural hand movement based on a time-domain and frequency-domain multi-layer brain network, including: (1) acquiring a multi-channel EEG signal of the natural hand movement; (2) preprocessing the multi-channel EEG signal, and extracting a ? wave, a ? wave, a ? wave, a ? wave, and a ? wave at each time point; (3) constructing a time-domain multi-layer brain network using a wSAR model; (4) calculating the frequency-domain multi-layer brain network using the phase-amplitude coupling; (5) combining the time-domain multi-layer brain network and the frequency-domain multi-layer brain network, and performing standardization; and (6) calculating metrics of the time-domain and frequency-domain multi-layer brain network and a super-adjacency matrix of a decomposed time-domain and frequency-domain multi-layer brain network, inputting the same to a two-layer graph convolutional network (GCN), and fusing manual, shallow, and deep features for analysis.