Abstract: Method for analyzing and predicting state of health of a lithium battery includes: collecting battery data within a predetermined time interval, where the battery data comprises at least battery operating time, current, and voltage; determining a target area based on the battery data; establishing a relationship between a cumulative capacity of the target area and the state of health of the battery; correlating the number of cycles in the current state of the battery with the state of health of the battery using the cumulative capacity of the target area and determining a relationship between the number of cycles and the state of health of the battery; and predicting the state of health of the battery in the future according to the relationship between the number of cycles and the state of health of the battery. The method is simple and easy to operate, and practical as well.

Abstract: The present invention relates to a method for carbon dioxide capture and concentration by partitioned multistage circulation based on mass transfer-reaction regulation. In the present invention, multiple means such as multistage circulating absorption, intelligent multi-factor regulation, pre-washing and cooling, inter-stage cooling, post-stage washing, slurry cleaning, cooling water waste heat utilization, small-particle-size and high-density spraying, external strengthening field such as a thermal field/ultrasonic field/electric field, and catalysis by composite catalyst are adopted, so that the target for low cost, low energy consumption, stability and high efficiency is realized. The secondary pollutants are effectively inhibited while carbon dioxide is efficiently captured; meanwhile, high-efficiency capture, low-energy desorption, and high-purity concentration of carbon dioxide are implemented.

Abstract: Disclosed are an interactive information processing method, an electronic device and a storage medium. The method includes establishing a correspondence between a multimedia data stream and a display text generated based on the multimedia data stream; presenting the multimedia data stream and the display text based on the correspondence; and in response to detecting a triggering operation triggering a display content in the display text, adjusting, based on a timestamp corresponding to the display content and the correspondence, the multimedia data stream to navigate to a playback position corresponding to the display content; the display content comprises a text corresponding to speech in the multimedia data stream; and the display text and the multimedia data stream are displayed on different display areas of a page respectively, and a display area occupied by the display text is not superimposed on a display area occupied by the multimedia data stream.

Abstract: A heterogeneous computing terminal for task scheduling is provided, including a processing unit and multiple computing units. The heterogeneous computing terminal generates a task scheduling strategy. The target computing unit acquires a target upgrade program, is upgrade based on the target upgrade program, processes a target task and sends a processing result to the processing unit. The processing unit combines processing results sent by multiple target computing units to obtain a processing result of an initial task set. The heterogeneous computing terminal can upgrade the computing unit online, that is, dynamically update the computing unit, thereby greatly expanding the versatility of the computing unit of hardware. Scheduling strategy adapted to the task can be generated, and the computing unit can dynamically provide better task processing capabilities. The computing efficiency of the heterogeneous computing terminal is improved.

Abstract: The invention provides a method and system for decoupling electric field of electrochemical model based on a parallel targeting method. The method includes selecting a negative or positive electrode region as a calculation region; selecting a solid or liquid phase current as an observed quantity, and a solid and liquid phase potential as a costate variable; inserting nodes between two endpoints of the calculation region, and determining a target value of the observed quantity of each node; constructing N calculation units; respectively performing a target shooting on the N calculation units; and determining whether a distance between the target shooting value of the observed quantity of the end point of each calculation unit and the target value of the observed quantity of the node corresponding to the end point of the calculation unit is within a preset range.

Abstract: The invention discloses a method for step parameter identification based on an electrochemical model, including: identifying a first type of electrochemical parameters through a reduced-order electrochemical model by utilizing different preset charge-discharge rate data; determining a first type of target electrochemical parameters identified by the reduced-order electrochemical model through extrapolation; the first type of target electrochemical parameters including an approximate value of the first type of electrochemical parameters or the first type of electrochemical parameters at a specific rate; identifying the first type of electrochemical parameters, which includes solid-phase lithium concentration and exchange current, through a full-order electrochemical model by taking the first type of target electrochemical parameters as actual values of the first type of electrochemical parameters of the full-order electrochemical model; and identifying a second type of electrochemical parameters, which include

Abstract: A dummy dual in-line memory module (DIMM) testing system based on boundary scan interconnect and a method thereof. A dummy dual in-line memory module functioning normally is used as a test fixture, a dummy dual in-line memory module under test is served as an unit under test (UUT), and the test fixture and the unit under test are inserted into a test device to electrically connect to each other, so that the test access port (TAP) device can perform boundary scan to control the test fixture to test the unit under test through signal pins, and check a test result based on a data signal collected from at least one boundary scan register. Therefore, the effect of improving testing convenience of the dummy DIMM can be achieved.

Abstract: A method for calculating a state of charge of a battery is provided. The method includes: estimating a first state of charge of the battery by using a first state of charge estimation algorithm; estimating a second state of charge of the battery by using a second state of charge estimation algorithm; determining a first weight corresponding to the first state of charge and a second weight corresponding to the second state of charge based on state data of the battery; and calculating the state of charge of the battery based on the first state of charge and the first weight, and the second state of charge and the second weight. With method for calculating a state of charge of a battery in the present disclosure, the accuracy of calculating the state of charge of the battery can be improve d with a lower computation cost.

Abstract: An unsupervised feature selection method based on latent space learning and manifold constraints includes: S11, inputting an original data matrix to obtain a feature selection model; S12, embedding latent space learning into the feature selection model to obtain a feature selection model with the latent space learning; S13, adding a graph Laplacian regularization term into the feature selection model with the latent space learning to obtain an objective function; S14, solving the objective function by adopting an alternative iterative optimization strategy; and S15, sequencing each feature in the original matrix, and selecting the first k features to obtain an optimal feature subset. Feature selection is performed in a learned potential latent space, and the space is robust to noise. The potential latent space is modeled by non-negative matrix decomposition of a similarity matrix, and the matrix decomposition can unambiguously reflect relationships between data instances.

Abstract: A use of an intervertebral disc fibrosis-inducing substance in preparation of medication, where the medication is used for the treatment of degenerative spinal diseases. The inventors of the present disclosure make use of the pro-fibrotic effect of the intervertebral disc fibrosis-inducing substance and the auxiliary effect of the fibroblast to achieve further treatment of intervertebral disc degeneration. The simultaneous administration of the above two drugs can reasonably control the degeneration and achieve the purpose of stepped treatment, thereby having clinical transformation value. In addition, the therapy combining the intervertebral disc fibrosis-inducing substance with the cell in the present disclosure allows the treatment regimen more personalized.

Abstract: The invention provides a method and system for identifying electrochemical model parameters based on capacity change rate. The method includes: acquiring operating data from an actual operation process of a lithium battery and cleaning an actual operating data set from the operating data; generating a simulated operating data set through simulation of a preset electrochemical model; performing parameter identification based on a preset first loss function, the actual operating data set, and the simulated operating data set; calculating capacity convergence coefficient; comparing capacity convergence coefficient with a preset convergence threshold value; when greater than the preset convergence threshold value, regenerating the simulated operating data set; and when not greater than the preset convergence threshold value, outputting an electrochemical model parameter set as a parameter identification result.

Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models. With the method and the device, the electronic device, and the computer-readable storage medium, the load sequence is decomposed based on the variational mode decomposition, so that more dimensional feature information in the load sequence can be mined. Moreover, the residual is also used as valid data.

Abstract: A method for monitoring battery cell data comprises: collecting the first set of the battery cell data in real time; retrieving estimation parameter data corresponding to the first set of the battery cell data from a battery cell parameter database in real time; based on the estimation parameter data of the first set of the battery cell data, processing the first set of the battery cell data through a battery model to acquire the second set of the battery cell data in real time; acquiring an error value between the first set and the second set of the battery cell data in real time; acquiring a monitoring result of the first set of the battery cell data in real time based on the error value and an error threshold, the monitoring result is either the error value being greater than the error threshold, or less than the error threshold.

Abstract: A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

Abstract: A non-invasive time domain reflection probe calibration method includes: using different volume ratio of ethanol and deionized water mixed solution to calculate a test target's medium weight coefficient and waveguide length of the non-invasive time domain reflection probes; using different concentrations of NaCl solutions to calibrate a waveguide geometric dimensioning of the non-invasive time domain reflection probes; preparing compacted soil samples with known different moisture contents and densities, and calibrating a correlation parameter of compacted soil samples' dielectric constant and conductivity with moisture content and density. The method not only determines the sensitivity of the test target medium of the non-invasive time domain reflection probes, but also obtains the waveguide length and geometric dimensioning of the probe, and realizes an accurate test of moisture content and density of the soil.

Abstract: A thermal-runaway warning method, system, and terminal for a power station are provided. The method comprises: obtaining collected data of a battery module comprised in the power station, wherein the collected data comprises collected temperature values of the battery module collected by temperature measuring devices; normalizing the collected data to obtain a standard dataset; training a CNNLSTM-based temperature predicting model based on the standard dataset to obtain a trained CNNLSTM-based temperature predicting model; and obtaining a predicted temperature value of the battery module within an output time window based on the trained CNNLSTM-based temperature predicting model, and determining whether there is a risk of thermal runaway in the power station based on the predicted temperature value.

Abstract: A method, system, and computer program product for script generation and recommendation from behavior trees are provided. The method receives a set of input commands within a programming interface. The set of input commands is parsed into a set of command parts. The set of input commands is normalized based on the set of command parts to generate a set of normalized commands. A set of behavior trees are generated based on the set of normalized commands and the set of parts. The method generates a set of command scripts based on the set of behavior trees.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: An energy Internet system, an energy routing conversion device, and an energy control method, relating to a field of energy information. An alternating-current (AC) side energy routing conversion device of the energy Internet system includes a plurality of first route ports, and a direct-current (DC) side energy routing conversion device includes a plurality of second route ports, where each second route port is connected to a corresponding first route port by means of a corresponding DC busbar. A plurality of energy devices are connected to a DC busbar by means of corresponding first AC/DC converters or first DC converters. The AC side energy routing conversion device and the DC side energy routing conversion device collect energy information of the energy devices and adjust energy of the energy devices on a basis of energy balance constraint conditions.

Abstract: The present disclosure provides a blending method of high-quality and dual-purpose flour for bread and noodles, belonging to the technical field of flour processing. The method includes: selecting flour of a high-quality and dual-purpose wheat variety for bread and noodles as a high-quality basic flour for blending; according to a large gradient experimental design, selecting a gradient range ratio with a sedimentation value ?46.0 mL and a dough development time ?9.6 min, followed by subdividing for small gradient experiments; selecting a ratio with flour sedimentation value and dough development time that reach an ideal value to blend a large amount of flour; and making bread and noodles for scoring, followed by determining a blending ratio if a scoring result reaches an ideal value.