8results about How to "Fast way" patented technology

The present application relates to a kind of ferulic acid cyclodextrin inclusion compound and its preparation method and a kind of method for enhancing the water retention of muscle fiber protein hydrogel, belong to meat protein processing technical field.The preparation method of the ferulic acid cyclodextrin inclusion compound of the present application is, ferulic acid solution is mixed with cyclodextrin solution, and mixed solution is obtained;Mixed solution is dried, and cyclodextrin inclusion compound is obtained, solve the problems such as low water solubility of ferulic acid, poor stability etc.The present application also provides a kind of method for enhancing the water retention of muscle fiber protein hydrogel, specific method is, muscle fiber protein solution is mixed with ferulic acid cyclodextrin inclusion compound, heat treatment, by adding ferulic acid cyclodextrin inclusion compound, the water retention of muscle fiber protein gel is significantly improved.Therefore, the present application provides a kind of processing method of meat product with excellent quality, nutritional health and can be widely applied.

The invention describes a device for evaluating sensor measurements (1.1), having: - a sensor (1), wherein for evaluating the sensor measurements (1.1) of the sensor (1) a model function suitable for least squares regression is provided, which can be defined by a parameter vector, wherein at least one parameter of the parameter vector forms a sensor output signal (3); and - a calculation and evaluation unit (2), having a neural network (2.1) for estimating the parameter vector on the basis of actually determined sensor measurements (1.1) and a least squares regression module (2.2), wherein the neural network (2.1) is trained with parameter vectors and associated sensor measurements, and the calculation and evaluation unit is set up to: ° determine at least one parameter estimate vector as an input variable for the least squares regression module (2.2) by means of the trained neural network (2.1) for sensor measurements (1.1) measured with the sensor (1), ° interrupt the least squares regression in the event that a convergence criterion is met when implementing the least squares regression, and ° output at least one parameter of the last determined parameter vector as a sensor output signal (3). An associated automated method for evaluating sensor measurements and the use of the device are also described.

This invention belongs to the field of metal composition analysis technology and discloses a method for determining ultra-low carbon and sulfur content in high-purity nickel. This method addresses the problems of matrix mismatch and insufficient detection range in existing detection methods by achieving accurate determination through the following steps: 1. Pre-treating the high-purity nickel sample using acetone ultrasonication and hydrochloric acid immersion to remove surface impurities; 2. Preparing a series of reference reagent standard samples using sucrose and sulfate standard solutions to adapt to the high-purity nickel matrix; 3. Constructing a standard curve with dual calibration of solid standard samples and reference reagents, extending the detection range to 0.0005%~0.005% for carbon and 0.0001%~0.002% for sulfur; 4. Subtracting interference through blank experiments and calculating the carbon and sulfur content in the sample according to the formula. The carbon and sulfur spiked recoveries of this invention are 95%~103% and 96%~102%, respectively, with relative standard deviations of <13.2% and <22.0%, respectively. It features fast analysis speed, high accuracy, and traceable results, and is suitable for the detection of ultra-low carbon and sulfur content in high-purity nickel and similar metal materials.

This invention discloses a method for measuring the electromagnetic wave propagation constant of an electromagnetic structure. Based on the field values ​​at three equally spaced points, this invention uses analytical expressions incorporating these three field values ​​to represent the phase constant and attenuation constant of a one-dimensional homogeneous or periodic structure. This method is simple, fast, and accurate. It can be applied to both homogeneous and periodic structures; both closed transmission line structures such as waveguides and open transmission lines such as microstrip lines; both waveguide structures of transmission lines and radiating structures of antennas; and both lossless and lossy structures.

The application provides a method for accurately predicting rock burst strength and position through rock mass wave velocity, and belongs to the technical field of rock burst disaster advanced prediction in deep underground engineering construction. According to the two-body interaction theory, the TSP longitudinal wave velocity accurate detection function is fully tapped, the longitudinal wave velocity discontinuous position within the range of 100m in front of the working face is accurately detected, and the position and grade probability of the possible rock burst are determined according to the wave velocity value difference. The method provided by the application has the advantages of simplicity, rapidness, low cost, high accuracy and the like, a new function is endowed to the TSP detection method, and an effective means can be provided for short-term and imminent prediction of rock burst in deep underground engineering.

This invention is entitled "User Interface for Stored-Value Accounts." This disclosure relates to a computer user interface. In some examples, an account is configured on an electronic device. In some examples, the device receives a value to provide funds to an account configured on the electronic device. In some examples, the electronic device uses the configured account to transact with a contactless transaction terminal and displays instructions for the transaction. In some examples, the electronic device transmits information corresponding to the configured account without checking authentication. In some examples, the device receives user input initiating a process to move an account from a first device to a second device. In some examples, the device receives account payment credentials from a second device when a set of payment criteria is met.

The invention provides a silver-based micro-nano structure protective quick-dry cleaning agent and a preparation and use method thereof, and belongs to the technical field of preparation and use of molded board cleaning agents. The cleaning agent is composed of isopropanol, ethyl acetate, a nonionic surfactant and a chelating agent. Wherein the mass ratio of the isopropanol to the ethyl acetate is 70: (10-30), the mass of the nonionic surfactant accounts for 5%-15% of the mass of the cleaning agent, and the mass of the chelating agent accounts for 5%-10% of the mass of the cleaning agent. According to the cleaning agent, a basic organic solvent system is reasonably constructed, and a proper amount of nonionic surfactant and complexing agent are introduced, so that organic dirt, adhesive residues and oxide layers are efficiently removed, and meanwhile, the surface appearance stability and reflection integrity of patterns of a silver-based micro-nano structure are maintained.

The application discloses a kind of based on dynamic metabolic excitation and smell fingerprint pollution beef identification method and device.The method includes the following steps: S1 sample preparation and inoculation;S2 dynamic metabolic excitation and signal acquisition: the sample after inoculation is placed in the environment of program temperature control, and the high-resolution time series data aligned with temperature-time curve is obtained by executing the preset dynamic temperature cycle program;S3 dynamic feature extraction and processing: the time series data collected is preprocessed and feature extracted;High-dimensional dynamic feature vector is constructed;S4 pollution identification: the high-dimensional dynamic feature vector is input into the machine learning classification model trained in advance, and the microbial contamination type identification result of beef sample is output by the model.The method and device of the application can actively excite, capture and analyze the new method and device of specific metabolic signal in complex microbial contamination system, to realize the rapid and accurate identification of various foodborne pathogens in beef.