Abstract: Provided is a method and system for predicting grain refinement of a machined surface of titanium alloy subjected to ultra-precision cutting. The method includes: obtaining an ?-phase crystal parameter of a titanium alloy workpiece to be machined in advance, and selecting a grain refinement analysis region on the titanium alloy workpiece to be machined; establishing a discrete dislocation dynamics model corresponding to the grain refinement analysis region according to the ?-phase crystal parameter, where the discrete dislocation dynamics model is configured to simulate dislocation behavior in the grain refinement analysis region; and performing grain refinement prediction analysis on the grain refinement analysis region according to the discrete dislocation dynamics model in response to ultra-precision cutting of the titanium alloy workpiece to be machined, and obtaining a corresponding grain size after cutting.

Abstract: The present disclosure discloses an ultra-precision machining method, including determining a total material removal amount based on a product to be machined and a blank, and performing rough machining to complete a material removal amount of the rough machining; after the rough machining, establishing an ultra-precision machining error prediction model by using an existing machining error, and predicting a semi-finishing error; re-establishing an ultra-precision machining error prediction model considering influence of the semi-finishing error; and finally performing finishing process planning. In the ultra-precision machining method according to the present disclosure, influence of the finishing error is considered, the ultra-precision machining error prediction model is re-established, and by integrated optimization of process parameters of the semi-finishing and the finishing, machining precision of ultra-precision machining is further improved without reducing machining efficiency.

Abstract: This disclosure relates to antibodies, antigen-binding fragments, protein constructs, and chimeric antigen receptors that bind to a complex comprising an AFP peptide and an MHC molecule, and the uses thereof.

Abstract: A method and system for optimal control of ultra-precision cutting. The method for optimal control is based on time-precipitates-temperature characteristics of Al—Mg—Si series aluminum alloy, and includes first determining types of precipitates of machined materials, and establishing a Lifshitz-Slyozov-Wagner (LSW) model of each precipitate. A temperature range is determined corresponding to each precipitate according to the LSW model to obtain a comprehensive temperature range. A relation model is established between cutting parameters and a cutting temperature according to the LSW model. Finally the cutting parameters are optimized according to the comprehensive temperature range and the relation model, so that the cutting temperature is beyond the comprehensive temperature range to inhibit the generation of the precipitates.

Abstract: Provided herein are anti-DLL3 chimeric antigen receptors (CARs), DLL3 binding proteins and uses of such CARs or DLL3 binding proteins in the treatment of DLL3 associated disorders, such as small cell lung cancer.

Abstract: CD30-binding moieties, chimeric antigen receptors (CARs) having these CD30-binding moieties, and uses thereof are provided. Polynucleotides encoding the CD30-binding moieties and CARs, compositions comprising CD30-binding moieties and CARs, genetically modified immune cells having a chimeric antigen receptor for use in adoptive cell therapy for treating CD30-expressing cancer or tumor in a subject in need thereof are also provided herein.

Abstract: A method and system for optimal control of ultra-precision cutting. The method for optimal control is based on time-precipitates-temperature characteristics of Al—Mg—Si series aluminum alloy, and includes first determining types of precipitates of machined materials, and establishing a Lifshitz-Slyozov-Wagner (LSW) model of each precipitate. A temperature range is determined corresponding to each precipitate according to the LSW model to obtain a comprehensive temperature range. A relation model is established between cutting parameters and a cutting temperature according to the LSW model. Finally the cutting parameters are optimized according to the comprehensive temperature range and the relation model, so that the cutting temperature is beyond the comprehensive temperature range to inhibit the generation of the precipitates.

Abstract: The present invention discloses a clean method for preparing a D,L-methionine comprising the steps of: preparing a potassium cyanide solution using a crystallized mother solution containing potassium carbonate as an absorbing liquid to absorb hydrocyanic acid, then reacting the potassium cyanide solution with 3-methylthio propionaldehyde and an ammonium bicarbonate solution at 50-150° C. for 3-15 minutes so as to obtain a 5-(?-methylthioethyl)glycolyurea solution, then bring the 5-(?-methylthioethyl)glycolyurea solution to a temperature of 140-220° C. and subjecting to a saponification reaction for 2-5 minutes, after the completion of the saponification, reducing the temperature to 0-40° C., extracting with an organic solvent, neutralizing the water phase with CO2 and crystallizing, then filtering, washing, and drying to obtain an acceptable D,L-methionine product; bring the crystallized D,L-methionine mother solution from filtration to a temperature to 110-160° C.

Abstract: The present invention discloses a clean method for preparing a D,L-methionine comprising the steps of: preparing a potassium cyanide solution using a crystallized mother solution containing potassium carbonate as an absorbing liquid to absorb hydrocyanic acid, then reacting the potassium cyanide solution with 3-methylthio propionaldehyde and an ammonium bicarbonate solution at 50-150° C. for 3-15 minutes so as to obtain a 5-(?-methylthioethyl)glycolyurea solution, then bring the 5-(?-methylthioethyl)glycolyurea solution to a temperature of 140-220° C. and subjecting to a saponification reaction for 2-5 minutes, after the completion of the saponification, reducing the temperature to 0-40° C., extracting with an organic solvent, neutralising the water phase with CO2 and crystallizing, then filtering, washing, and drying to obtain an acceptable D,L-methionine product; bring the crystallized D,L-methionine mother solution from filtration to a temperature to 110-160° C.