Abstract: A spindle thermal error compensation method which is insensitive to the disturbance of the cooling system is provided, belonging to the technical field of error compensation in numerical control machine tools. First, the spindle model coefficient identification test, based on multi-state speed variable, is performed; after which, based on the correlation analysis between temperature and thermal error, the temperature measurement point, significantly correlated with the axial thermal error of the spindle, is determined. Next, a spindle thermal error model is established, which is insensitive to the cooling system disturbance. In addition, the coefficients in the model are identified under constraint condition, according to the nonlinear quadratic programming algorithm. Finally, based on the OPC UA communication protocol, the compensation value, as calculated by the model, is input to the numerical control system, in order to realize the compensation of the spindle thermal error.

Abstract: A self-adaptive compensation method for feed axis thermal error, which belongs to the field of error compensation in NC machine tools. First, based on laser interferometer and temperature sensor, the feed axis thermal error test is carried out; following, the thermal error prediction model, based on the feed axis thermal error mechanism, is established and the thermal characteristic parameters in the model are identified, based on the thermal error test data; next, the parameter identification test is carried out, under the preload state of the nut; next, the adaptive prediction model is established, based on the thermal error prediction model, while the parameters in the measurement model are identified; finally, adaptive compensation of thermal errors is performed, based on the adaptive error prediction model, according to the generated feed axis heat.

Abstract: Provided in the present invention is a bearing maintenance timing acquisition method: acquiring vibration signals of a bearing under different loads; then, respectively acquiring dimensionless parameters according to the vibration signal of each load; thus, acquiring predicted damage condition distribution data of the bearing under different loads according to the dimensionless parameters; and finally, obtaining accurate maintenance timing based on the predicted damage condition distribution data under different loads, so as to prolong the service life of the bearing while reducing maintenance costs.

Abstract: A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

Abstract: A modified Y-type molecular sieve contains 0.5-2 wt. % of Na2O based on the total amount of the modified Y-type molecular sieve. In the modified Y-type molecular sieve, the ratio between the total acid amount measured by pyridine and infrared spectrometry and total acid amount measured by n-butyl pyridine and infrared spectrometry is 1-1.2. The total acid amount measured by pyridine and infrared spectrometry of the modified Y-type molecular sieve is 0.1-1.2 mmol/g. The acid center sites of the molecular sieve of the modified Y-type molecular sieve are distributed in the large pore channels. The molecular sieve is used in the hydrocracking reaction process of a wax oil.

Abstract: This document provides methods and materials involved in treating cancer. For example, methods and materials for using an inhibitor of UFM1 activity or expression and/or an inhibitor of UFL1 activity or expression to reduce a cancer cell's ability to carry out a DDR, thereby increasing the sensitivity of cancer cells to treatment with a DNA damaging therapy such as radiation or chemotherapy, are provided.

Abstract: This document provides methods and materials involved in treating cancer. For example, methods and materials for using an inhibitor of USP7 polypeptide to increase the sensitivity of cancer cells (e.g., CD340+ cancer cells such as HER2+ cancer cells) to treatment with an inhibitor of a CD340 polypeptide (e.g., an inhibitor of a HER2 polypeptide) are provided. Methods and materials for using USP7 polypeptide inhibitors in combination with CD340 polypeptide inhibitors to treat cancer (e.g., HER2+ breast cancer that was refractory to trastuzumab alone treatment) are provided.

Abstract: An on line prediction method of part surface roughness based on SDAE-DBN algorithm. The tri-axis acceleration sensor is adsorbed on the rear bearing of the machine tool spindle through the magnetic seat to collect the vibration signals of the cutting process, and a microphone is placed in the left front of the processed part to collect the noise signals of the cutting process of the machine tool; the trend term of dynamic signal is eliminated, and the signal is smoothed; a stacked denoising autoencoder is constructed, and the greedy algorithm is used to train the network, and the extracted features are used as the input of deep belief network to train the network; the real-time vibration and noise signals in the machining process are input into the deep network after data processing, and the current surface roughness is set as output by the network.

Abstract: Provided is a production process for powdered sugar and liquid syrup, comprising the steps of primary pressing sugar cane juice extraction, three-stage physical filtration, and sugar boiling, wherein the step of the three-stage physical filtration respectively uses a sieve plate, a bagasse separator and a micro-filtration membrane for filtration. The bagasse separator comprises a screen cylinder transversely arranged inside a separation bin. The inlet and outlet of the screen cylinder are respectively connected to a feeding bin and a discharging bin. A juice outlet and a bagasse outlet are respectively provided under the separation bin and the discharging bin. A propeller blade component is provided inside the screen cylinder. The propeller blade component is formed by combining vertical mixing blades with helical blades.

Abstract: The invention provides a data augmentation method based on generative adversarial networks in tool condition monitoring. Firstly, the sensor acquisition system is used to obtain the vibration signal and noise signal during the cutting process of the tool; second, the noise data subject to the prior distribution is input to the generator to generate data, and the generated data and the collected real sample data are input to the discriminator for identification, the confrontation training between the generator and the discriminator until the training is completed; then, use the trained generator to generate sample data, and determine whether the generated sample data and the actual tool state sample data are similar in distribution; finally, combined with the accuracy of the deep learning network model to predict the state of the tool to verify the availability of the generated data.

Abstract: The invention provides a toolholder matched with the internal jet cooling spindle for cryogenic coolant. The toolholder is mainly composed of a hollow toolholder body, a high-performance thermal insulation structure and a bidirectional sealing structure. They can guide the cryogenic coolant from the spindle to the internal cooling channel of tool and realize the cryogenic thermal insulation and dynamic sealing. The high-performance thermal insulation structure inside the toolholder employs the material with a low thermal conductivity and a low linear expansion coefficient to restrain the low temperature impact of cryogenic coolant on the toolholder and spindle, to ensure the dimensional accuracy and assembly accuracy of the toolholder. The bidirectional sealing structure in the toolholder uses the ultra-low temperature resistant seal rings to prevent the cryogenic coolant from leaking towards the spindle and the tool, to ensure the stability of the coolant transport.

Abstract: A method for calculating the reliability of the thermal error model of a machine tool based on deep neural network (DNN) and the Monte Carlo method, which belongs to the field of the thermal error compensation of computer numerical control (CNC) machine tools. Firstly, according to the probability distribution of the thermal parameters and thermal error model, a set of data for training the DNN is generated. Next, the DNN is constructed based on the deep belief networks (DBNs) and trained with the training data. Then, a group of random sampling data is obtained according to the probability distribution of the thermal characteristic parameters of the machine tool, and the group of random sampling is taken as the input and the output is obtained by the trained depth neural network. Finally, the reliability of the thermal error model is calculated based on the Monte Carlo method.

Abstract: A spindle thermal error compensation method which is insensitive to the disturbance of the cooling system is provided, belonging to the technical field of error compensation in numerical control machine tools. First, the spindle model coefficient identification test, based on multi-state speed variable, is performed; after which, based on the correlation analysis between temperature and thermal error, the temperature measurement point, significantly correlated with the axial thermal error of the spindle, is determined. Next, a spindle thermal error model is established, which is insensitive to the cooling system disturbance. In addition, the coefficients in the model are identified under constraint condition, according to the nonlinear quadratic programming algorithm. Finally, based on the OPC UA communication protocol, the compensation value, as calculated by the model, is input to the numerical control system, in order to realize the compensation of the spindle thermal error.

Abstract: The present application discloses a biological valve material which is a swim bladder derived biological valve material. The present application also discloses a method for preparing the biological valve material, includes: decellularizing a raw swim bladder; and cross-linking the decellularized swim bladder with a cross-linking agent. The present application also discloses use of the biological valve material, wherein the biological valve material is used for preparing one or more of a biological heart valve, a biological patch, and an artificial blood vessel. The present application also discloses a cross-linking agent for a bio-based material, including a cross-linking compound and an organic solvent. The cross-linking compound includes a polyphenol compound. The present application also discloses use of the cross-linking agent, wherein the cross-linking agent is used to cross-link the bio-based material after the decellularization treatment.

Abstract: A self-adaptive compensation method for feed axis thermal error, which belongs to the field of error compensation in NC machine tools. First, based on laser interferometer and temperature sensor, the feed axis thermal error test is carried out; following, the thermal error prediction model, based on the feed axis thermal error mechanism, is established and the thermal characteristic parameters in the model are identified, based on the thermal error test data; next, the parameter identification test is carried out, under the preload state of the nut; next, the adaptive prediction model is established, based on the thermal error prediction model, while the parameters in the measurement model are identified; finally, adaptive compensation of thermal errors is performed, based on the adaptive error prediction model, according to the generated feed axis heat.

Abstract: A modified Y-type molecular sieve contains 0.5-2 wt. % of Na2O based on the total amount of the modified Y-type molecular sieve. In the modified Y-type molecular sieve, the ratio between the total acid amount measured by pyridine and infrared spectrometry and total acid amount measured by n-butyl pyridine and infrared spectrometry is 1-1.2. The total acid amount measured by pyridine and infrared spectrometry of the modified Y-type molecular sieve is 0.1-1.2 mmol/g. The acid center sites of the molecular sieve of the modified Y-type molecular sieve are distributed in the large pore channels. The molecular sieve is used in the hydrocracking reaction process of a wax oil.

Abstract: Provided is a production process for powdered sugar and liquid syrup, comprising the steps of primary pressing sugar cane juice extraction, three-stage physical filtration, and sugar boiling, wherein the step of the three-stage physical filtration respectively uses a sieve plate, a bagasse separator and a micro-filtration membrane for filtration. The bagasse separator comprises a screen cylinder transversely arranged inside a separation bin. The inlet and outlet of the screen cylinder are respectively connected to a feeding bin and a discharging bin. A juice outlet and a bagasse outlet are respectively provided under the separation bin and the discharging bin. A propeller blade component is provided inside the screen cylinder. The propeller blade component is formed by combining vertical mixing blades with helical blades.

Abstract: Provided is a device for continuously decomposing a rare earth concentrate ore. The device includes a body, a bidirectional propeller and a driving assembly. The body has a material inlet, two liquid inlets and two exhaust gas outlets disposed at the top of the body, two material outlets disposed at the bottom of the body and a heat preservation chamber provided inside a side wall of the body. The bidirectional propeller is provided in the body and extends along a length direction of the body. The driving assembly is connected to the rotating shaft.

Abstract: Provided are a method and a system for processing a rare earth concentrate ore. The method comprises (1) mixing the rare earth concentrate ore and concentrated sulfuric acid, thereby obtaining a mixed slurry and a first fluorine-containing gas; (2) mixing the mixed slurry and an initiator liquid for acidolysis, thereby obtaining a clinker and a second fluorine-containing gas; (3) subjecting the clinker to leaching with water, thereby obtaining a leached slurry; (4) subjecting the leached slurry to a solid-liquid separation, thereby obtaining a filtrate and a leached slag, and recycling the leached slag to step (2) for acidolysis again.

Abstract: This document provides methods and materials involved in treating cancer. For example, methods and materials for using an inhibitor of UFM1 activity or expression and/or an inhibitor of UFL1 activity or expression to reduce a cancer cell's ability to carry out a DDR, thereby increasing the sensitivity of cancer cells to treatment with a DNA damaging therapy such as radiation or chemotherapy, are provided.