Abstract: The present invention provides an antibody binding a human tumor-associated calcium signal sensor 2 (Trop-2) protein or fragments thereof, and use of the antibody or fragments thereof in preventing or treating diseases. The antibody or fragments thereof of the present invention can effectively bind to the human Trop-2 protein, and have internalization activity, and the internalization activity is enhanced after ADC drug labeling, and the in vivo efficacy and safety of a mouse model are not lower than those of a control antibody.

Abstract: In view of the technical problem that TGF-? RH and a fusion protein thereof are prone to degradation and breakage during the process of recombinant expression, provided are a TGF-? RII mutant and a fusion protein thereof. Compared with the extracellular region of the wild-type TGF-? RII of SEQ ID NO: 6, the TGF-? RII mutant has a mutation selected from Gln at position 6, Asp at position 12 and Gly at position 20. The TGF-? RII mutant is capable of binding to TGF-?. Compared to wild-type TGF-? RII, the TGF-? RII mutant has less breakage and/or degradation during recombination expression. It is convenient for large-scale production of antibodies/the TGF-? RII bifunctional protein with a more stable quality.

Abstract: A language sequence labeling method and includes: reading a first embedding representation of a language sequence, the first embedding representation including a character-level word embedding representation, a pre-trained word embedding representation, and a global word embedding representation of the language sequence, the global word embedding representation referring to a global context representation of the language sequence; performing first depth transformation (DT) encoding on the first embedding representation based on a first DT recurrent neural network (RNN), to output a first hidden-layer state representation corresponding to each word in the language sequence; and decoding the first hidden-layer state representations of the language sequence, to obtain a labeling result of one or more elements in the language sequence.

Abstract: The present invention provides an antibody binding to programmed cell death protein 1 (PD-1) or a fragment thereof and a use of the antibody or a fragment thereof in preventing or treating a tumor or cancer. The antibody or a fragment thereof of the present invention can effectively block the interactions of PD-1/PD-L1 and PD-1/PD-L2 and has a unique antigen binding epitope and unique properties in terms of efficacy and safety.

Abstract: This disclosure relates to a method and an apparatus for training a text classification model. The method may include determining a semantic representation of the training sample using the text classification model and determining a predicted classification result of the training sample based on the semantic representation. The method may further include generating an adversarial sample corresponding to the training sample based on the training sample and perturbation information and determining a semantic representation of the adversarial sample corresponding to the training sample using the text classification model.

Abstract: A computer device acquires, based on a prior network and a posterior network of a dialogue model, at least two first dialogue features and at least two second dialogue features of a first dialogue. The computer device outputs, using the prior network, a probability distribution of dialogue features in accordance with the acquired dialogue features and estimates, using the posterior network, the probability distribution of the dialogue features output by the prior network. The computer device updates the dialogue model and updates the posterior network based on dialogue features of the first dialogue. The computer device also updates a discriminator in the dialogue model based on at least two first dialogue features and at least two second dialogue features of a second dialogue. In accordance with a determination that the dialogue model has satisfied a training end condition, the computer device determines that the dialogue model is a trained model.

Abstract: A language sequence labeling method and includes: reading a first embedding representation of a language sequence, the first embedding representation including a character-level word embedding representation, a pre-trained word embedding representation, and a global word embedding representation of the language sequence, the global word embedding representation referring to a global context representation of the language sequence; performing first depth transformation (DT) encoding on the first embedding representation based on a first DT recurrent neural network (RNN), to output a first hidden-layer state representation corresponding to each word in the language sequence; and decoding the first hidden-layer state representations of the language sequence, to obtain a labeling result of one or more elements in the language sequence.

Abstract: A data processing method includes: obtaining a to-be-detected text, and determining a context word set and a candidate substitute word set corresponding to a to-be-detected word in the to-be-detected text to be inputted into a pronoun resolution neural network for feature extraction; performing positive-example iteration processing and negative-example iteration processing on the features corresponding to the context word set and the candidate substitute word set, to obtain a positive-example feature vector length and a negative-example feature vector length, and calculating a substitute probability corresponding to each candidate substitute word in the candidate substitute word set according to the positive-example feature vector length and the negative-example feature vector length; determining a target substitute word according to the substitute probability corresponding to the each candidate substitute word; and inserting the target substitute word into the to-be-detected text according to a position corr

Abstract: A method and apparatus for generating a hidden state in a recurrent neural network for language processing are provided. The method includes: generating regional word vectors of at least two dimensions of a target word vector inputted at a first moment; combining the regional word vectors to obtain combined regional word vectors of at least two dimensions; performing aggregation transformation processing on the combined regional word vectors based on a feedforward neural network, to obtain an aggregated word vector corresponding to the target word vector; and generating a target hidden state corresponding to the target word vector based on the aggregated word vector.

Abstract: Embodiments of this disclosure disclose a sentence processing method and device. The method may include performing word segmentation operation on a source sentence to be encoded to obtain m words. The method may further include obtaining an ith word in the m words using an ith encoding processing node in the n encoding processing nodes, and obtaining an (i?1)th word vector from an (i?1)th encoding processing node. The method may further include performing linear operation and non-linear operation on the ith word and the (i?1)th word vector using the first unit of the ith encoding processing node to obtain an ith operation result, and outputting the ith operation result to the at least one second unit for processing to obtain an ith word vector. The method may further include generating, in response to obtaining m word vectors, a sentence vector according to the m word vectors.

Abstract: A design method of a spectrometer and a spectrometer are disclosed, including the following steps: 1) determining an incident angle of a second incident slit and a groove-shaped cycle of a concave grating; 2) estimating a blaze angle of the concave grating, determining a surface material and a groove-shaped structure of the concave grating; 3) acquiring wavelength-diffraction efficiency curves; 4) determining values of incident angles ?A1 and ?A3 and values of wavelengths ?2 and ?3, and setting ?4 to equal ?2; 5) acquiring a record structural parameter and a use structural parameter; 6) determining a manufacture parameter of the concave grating; 7) determining locations of the three incident slits and the three photodetectors relative to the concave grating. The spectrometer acquired by using this method has relatively high diffraction efficiency in most spectrum regions and effectively alleviates the problem of relatively low diffraction efficiency in a broad spectrum region.

Abstract: The invention provides an exposure method of a holographic grating and an exposure light path. The exposure method includes: (1) determining initial positions (C, D) of the two exposure light sources (S1, S2); (2) calculating imaging quality parameters of the grating; (3) setting a compensating mirror (A1) in the initial light path; (4) adjusting a position of the exposure light source (S1) to a new position (D1) according to a position of the compensating mirror (A1); (5) calculating imaging quality parameters of the grating; (6) judging whether the imaging quality parameters in the step (5) and the imaging quality parameters in the step (2) are equal, and if yes, using the new position (D1) as a final position of the exposure light source (S1). The exposure method and exposure light path may effectively solve a problem of a much too close distance between exposure light sources.

Abstract: An optimized design method for manufacturing a Fresnel grating is disclosed, including the following steps: (1) making a Fresnel surface type of the Fresnel grating equivalent to a curved surface type, and determining, based on the curved surface type to which the Fresnel surface type is equivalent, an optical path difference function of the Fresnel grating: ? (?)=<AP1P2B>?<AOB>+Nm?; and (2) determining a Fresnel grating parameter that minimizes a function value of the optical path difference function, so as to manufacture a Fresnel grating that has an aberration elimination effect. The manufactured Fresnel grating may effectively eliminate a portion of aberrations of the Fresnel grating, and increase a resolution of a spectrometer.

Abstract: Method for recovering carbon fibers from carbon fiber reinforced polymer composites is provided. The recovered carbon fibers can be separable and can be substantially free of thermosetting resins. Compositions comprising said recovered carbon fibers are also provided.

Abstract: Methods for recycling carbon fibers are disclosed. The methods can include providing at least one object comprising carbon fibers and resin, and contacting the object with at least one light beam to produce recycled carbon fibers. Systems that implement the disclosed methods are also provided.

Abstract: Disclosed herein are methods and systems for recovering carbon fibers from objects. The object may include carbon fibers and resin. The object may be contacted with an electric current to separate the carbon fibers from the resin.

Abstract: An optimized design method for manufacturing a Fresnel grating is disclosed, including the following steps: (1) making a Fresnel surface type of the Fresnel grating equivalent to a curved surface type, and determining, based on the curved surface type to which the Fresnel surface type is equivalent, an optical path difference function of the Fresnel grating: ? (?)=<AP1P2B>?<AOB>+Nm?; and (2) determining a Fresnel grating parameter that minimizes a function value of the optical path difference function, so as to manufacture a Fresnel grating that has an aberration elimination effect. The manufactured Fresnel grating may effectively eliminate a portion of aberrations of the Fresnel grating, and increase a resolution of a spectrometer.

Abstract: A design method of a spectrometer and a spectrometer are disclosed, including the following steps: 1) determining an incident angle of a second incident slit and a groove-shaped cycle of a concave grating; 2) estimating a blaze angle of the concave grating, determining a surface material and a groove-shaped structure of the concave grating; 3) acquiring wavelength-diffraction efficiency curves; 4) determining values of incident angles ?A1 and ?A3 and values of wavelengths ?2 and ?3, and setting ?4 to equal ?2; 5) acquiring a record structural parameter and a use structural parameter; 6) determining a manufacture parameter of the concave grating; 7) determining locations of the three incident slits and the three photodetectors relative to the concave grating. The spectrometer acquired by using this method has relatively high diffraction efficiency in most spectrum regions and effectively alleviates the problem of relatively low diffraction efficiency in a broad spectrum region.

Abstract: The invention provides an exposure method of a holographic grating and an exposure light path. The exposure method includes: (1) determining initial positions (C, D) of the two exposure light sources (S1, S2); (2) calculating imaging quality parameters of the grating; (3) setting a compensating mirror (A1) in the initial light path; (4) adjusting a position of the exposure light source (S1) to a new position (D1) according to a position of the compensating mirror (A1); (5) calculating imaging quality parameters of the grating; (6) judging whether the imaging quality parameters in the step (5) and the imaging quality parameters in the step (2) are equal, and if yes, using the new position (D1) as a final position of the exposure light source (S1). The exposure method and exposure light path may effectively solve a problem of a much too close distance between exposure light sources.

Abstract: A manufacture method for a blazed concave grating is provided, including: replicating a blazed concave grating by means of a replication process, after the replication is completed, conducting heat preservation and cooling, then separating two gratings (G1, G2) by using different pulling manners respectively, and finally splicing the replicated and separated concave grating blanks, to obtain a required blazed concave grating. This manufacture method can solve the problem of a big error in an existing replication method for a blazed concave grating.