Abstract: A device is for surface strengthening of a metal plate based ultrasonic vibration is provided. The device includes an ultrasonic vibration tool holder and a cutting tool. The ultrasonic vibration tool holder is internally provided with an ultrasonic transducer and an ultrasonic booster; the ultrasonic transducer is configured to transmit vibration to the ultrasonic booster, the ultrasonic booster is configured to drive longitudinal torsion vibration of the cutting tool; an end of the ultrasonic booster facing towards the cutting tool is provided with an adjustment assembly configured for adjusting a longitudinal torsion angle and a rotation speed. Since the device includes the adjustment assembly, the longitudinal torsion angle and the rotation speed of the device can be adjusted according to different processing requirements, so as to perform ultrasonic vibration extrusion strengthening on surfaces of titanium alloy plates and improve surface integrity including microhardness and residual stress.

Abstract: A device is for surface strengthening of a metal plate based ultrasonic vibration. The device includes an ultrasonic vibration tool holder and a cutting tool. The ultrasonic vibration tool holder is internally provided with an ultrasonic transducer and an ultrasonic booster; the ultrasonic transducer is configured to transmit vibration to the ultrasonic booster, the ultrasonic booster is configured to drive longitudinal torsion vibration of the cutting tool; an end of the ultrasonic booster facing towards the cutting tool is provided with an adjustment assembly configured for adjusting a longitudinal torsion angle and a rotation speed. Since the device includes the adjustment assembly, the longitudinal torsion angle and the rotation speed of the device can be adjusted according to different processing requirements, so as to perform ultrasonic vibration extrusion strengthening on surfaces of titanium alloy plates and improve surface integrity including microhardness and residual stress.

Abstract: The disclosure discloses a method and an apparatus for stylizing a three-dimensional model, an electronic device, and a storage medium. The method for stylizing the three-dimensional model includes: acquiring a to-be-stylized three-dimensional model and a stylized target image; and rendering the three-dimensional model by using a predetermined network to acquire a two-dimensional rendered image and spatial feature parameters of a pixel, and stylizing a texture feature in the two-dimensional rendered image based on the spatial feature parameters and the stylized target image to acquire a stylized three-dimensional model.

Abstract: Disclosed herein are fusion proteins having a first domain that activates an antigen-presenting cell (APC) (e.g., a dendritic cell) by binding to an activation receptor of the APC, and a second domain that activates an immune effector cell (e.g., a T cell) by targeting a co-stimulatory signaling pathway of the immune effector cell, as well as polynucleotides that encode such fusion proteins. Disclosed herein are also genetically engineered immune effector cells expressing such fusion protein, methods of their production, and their uses in treatment of diseases such as cancers.

Abstract: The present invention relates to a compound of formula (I), a method for using the compound as an EGFR inhibitor, and a pharmaceutical composition comprising the compound. The compound can be used for treatment, prevention or alleviation of diseases or disorders such as cancer or infection.

Abstract: Provided is a pedo-transfer function (PTF)-based method for predicting a target soil property. Based on the collection of a multi-source soil dataset and environmental variables, a dataset containing all measured information is divided. Second-level regions are obtained by zoning according to the spatial variation in soil properties. An optimal independent variable set of PTFs in different regions is obtained by screening. Then, linear fitting and nonlinear fitting of the PTFs are performed for different zones separately. By comparing the accuracy of different functions between different zones, optimal PTFs oriented toward sampling sites are selected, so as to build a database including soil sampling sites. Further, regional independent variable layers are constructed by means of machine learning, to establish region-oriented PTFs; and a spatial distribution map of the target soil property and content for a target region is produced.

Abstract: Disclosed herein are fusion proteins having a first domain that activates an antigen-presenting cell (APC) (e.g., a dendritic cell) by binding to an activation receptor of the APC, and a second domain that activates an immune effector cell (e.g., a T cell) by targeting a co-stimulatory signaling pathway of the immune effector cell, as well as polynucleotides that encode such fusion proteins. Disclosed herein are also genetically engineered immune effector cells expressing such fusion protein, methods of their production, and their uses in treatment of diseases such as cancers.

Abstract: The present invention relates to the compounds of Formula I, methods of using these compounds as EGFR inhibitors, and pharmaceutical compositions comprising compounds thereof. The compounds are used for treating, preventing or ameliorating diseases or disorders such as cancer or infections.

Abstract: Disclosed is use of a reagent for down-regulating the circular RNA-0007535 expression in preparation of drugs for preventing and/or treating pulmonary fibrosis and drugs for down-regulating the circular RNA-0007535 expression, belonging to the technical field of pharmaceutical preparation. The present disclosure provides a use of a reagent for down-regulating the circular RNA-0007535 expression in preparation of drugs for preventing and/or treating pulmonary fibrosis, the nucleotide sequence of the circular RNA-0007535 is set forth in SEQ ID NO. 1. Drugs prepared from the reagent for down-regulating the circular RNA-0007535 expression may prevent and/or treat pulmonary fibrosis, the cyclic RNA-0007535, as a potential molecular and drug target for treating pulmonary fibrosis diseases, provides a new perspective and field for exploring a regulation mechanism of gene expression in the occurrence and development of pulmonary fibrosis and searching for an intervention/drug, and has good application prospects.

Abstract: The present invention relates to compounds of Formula I, methods of using the compounds as EGFR inhibitors, and pharmaceutical compositions comprising such compounds. The compounds are useful in treating, preventing or ameliorating diseases or disorders such as cancer or infections.

Abstract: The disclosure provides a method for predictive soil mapping based on solar radiation in large flat area, comprising: Step 1, capturing the response process of the earth's surface heat: after an observation day or an observation period is selected, a curve graph depicting a dynamic response of the surface heat to solar radiation captured by using a remote sensor of a moderate-resolution imaging spectrometer; Step 2, constructing environmental covariates: quantitative analysis is performed for the dynamic response curve graph obtained in Step 1 by a mathematical method, and characteristic parameters are extracted and taken as environmental covariates; and Step 3: a machine learning model is established for the predictive soil attribute mapping. This method solves the challenge of effective soil mapping in flat areas, significantly improves the accuracy and efficiency of predictive soil mapping in flat areas, reduces the cost in time and economy of soil survey mapping.

Abstract: Provided is a pedo-transfer function (PTF)-based method for predicting a target soil property. Based on the collection of a multi-source soil dataset and environmental variables, a dataset containing all measured information is divided. Second-level regions are obtained by zoning according to the spatial variation in soil properties. An optimal independent variable set of PTFs in different regions is obtained by screening. Then, linear fitting and nonlinear fitting of the PTFs are performed for different zones separately. By comparing the accuracy of different functions between different zones, optimal PTFs oriented toward sampling sites are selected, so as to build a database including soil sampling sites. Further, regional independent variable layers are constructed by means of machine learning, to establish region-oriented PTFs; and a spatial distribution map of the target soil property and content for a target region is produced.

Abstract: The disclosure provides a method for predictive soil mapping based on solar radiation in large flat area, comprising: Step 1, capturing the response process of the earth's surface heat: after an observation day or an observation period is selected, a curve graph depicting a dynamic response of the surface heat to solar radiation captured by using a remote sensor of a moderate-resolution imaging spectrometer; Step 2, constructing environmental covariates: quantitative analysis is performed for the dynamic response curve graph obtained in Step 1 by a mathematical method, and characteristic parameters are extracted and taken as environmental covariates; and Step 3: a machine learning model is established for the predictive soil attribute mapping. This method solves the challenge of effective soil mapping in flat areas, significantly improves the accuracy and efficiency of predictive soil mapping in flat areas, reduces the cost in time and economy of soil survey mapping.