Abstract: A consensus graph learning-based multi-view clustering method includes: S11, inputting an original data matrix to obtain a spectral embedding matrix; S12, calculating a similarity graph matrix and a Laplacian matrix based on the spectral embedding matrix; S13, applying spectral clustering to the calculated similarity graph matrix to obtain spectral embedding representations; S14, stacking inner products of the normalized spectral embedding representations into a third-order tensor and using low-rank tensor representation learning to obtain a consistent distance matrix; S15, integrating spectral embedding representation learning and low-rank tensor representation learning into a unified learning framework to obtain a objective function; S16, solving the obtained objective function through an alternative iterative optimization strategy; S17, constructing a consistent similarity graph based on the solved result; and S18, applying spectral clustering to the consistent similarity graph to obtain a clustering resul

Abstract: An unsupervised feature selection method based on latent space learning and manifold constraints includes: S11, inputting an original data matrix to obtain a feature selection model; S12, embedding latent space learning into the feature selection model to obtain a feature selection model with the latent space learning; S13, adding a graph Laplacian regularization term into the feature selection model with the latent space learning to obtain an objective function; S14, solving the objective function by adopting an alternative iterative optimization strategy; and S15, sequencing each feature in the original matrix, and selecting the first k features to obtain an optimal feature subset. Feature selection is performed in a learned potential latent space, and the space is robust to noise. The potential latent space is modeled by non-negative matrix decomposition of a similarity matrix, and the matrix decomposition can unambiguously reflect relationships between data instances.

Abstract: Disclosed are a display apparatus and a display method. The display apparatus includes a display; a remote controller, including multiple keys and configured to: output an infrared signal carrying a first infrared key value in response to selection of an integrated key from the user, the integrated key is configured for replacing at least two omitted keys not disposed on the remote controller, the omitted keys are keys not arranged on the remote controller; and a controller is configured to: identify an infrared key value of an infrared signal corresponding to the integrated key; control the display to display a key interface when the infrared key value being the first infrared key value; the key interface includes at least two first controls corresponding to the omitted keys; and generate a target infrared key value when a selection of one of the at least two first controls from the user.

Abstract: A multi-view clustering method and system based on matrix decomposition and multi-partition alignment are provided.

Abstract: A late fusion multi-view clustering method and system based on local maximum alignment are provided. The late fusion multi-view clustering method based on local maximum alignment includes the following steps: S1: acquiring a clustering task and a target data sample; S2: initializing a permutation matrix of each view and a combination coefficient of each view, and performing average partition of kernel k-means clustering on an average kernel to obtain a neighbor matrix of each view; S3: calculating basic partition of each view, and establishing a late fusion multi-view clustering objective function based on maximum alignment; S4: acquiring basic partition having local information, and establishing a late fusion multi-view clustering objective function based on local maximum alignment; S5: solving the established late fusion multi-view clustering objective function based on local maximum alignment in a cyclic manner to obtain optimal partition; and S6: performing k-means clustering on the optimal partition.

Abstract: A system for unsupervised deep representation learning based on image translation is provided. The system includes an image translation transformation module used for performing a random translation transformation on an image and generating an auxiliary label; an image mask module connected with the image translation transformation module and used for applying a mask to the image after translation transformation; a deep neural network connected with the image mask module and used for predicting an actual auxiliary label of the image after the mask is applied and learning the deep representation of the image; a regression loss function module connected with the deep neural network and used for updating parameters of the deep neural network based on a loss function; and a feature extraction module connected with the deep neural network and used for extracting the representation of the image.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: A multi-modal adaptive fusion deep clustering model based on an auto-encoder includes an encoder structure, a multi-modal adaptive fusion layer, a decoder structure and a deep embedding clustering layer. The encoder is configured to enable a dataset to be respectively subjected to three types of nonlinear mappings of the auto-encoder, a convolutional auto-encoder and a convolutional variational auto-encoder to obtain potential features, respectively. The multi-modal adaptive feature fusion layer is configured to fuse the potential features into a common subspace in an adaptive spatial feature fusion mode to obtain a fused feature. The decoder is configured to decode the fused feature by using a structure symmetrical to the encoder to obtain a decoded reconstructed dataset. The deep embedding clustering layer is configured to cluster the fused feature Z and obtain a final accuracy ACC by comparing a clustering result with a true label.

Abstract: The present disclosure provides a blending method of high-quality and dual-purpose flour for bread and noodles, belonging to the technical field of flour processing. The method includes: selecting flour of a high-quality and dual-purpose wheat variety for bread and noodles as a high-quality basic flour for blending; according to a large gradient experimental design, selecting a gradient range ratio with a sedimentation value ?46.0 mL and a dough development time ?9.6 min, followed by subdividing for small gradient experiments; selecting a ratio with flour sedimentation value and dough development time that reach an ideal value to blend a large amount of flour; and making bread and noodles for scoring, followed by determining a blending ratio if a scoring result reaches an ideal value.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules, plant parts and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: Embodiments of the present disclosure relate to a flame detector. The flame detector comprises a light guide system including a first end and a second end opposite to the first end, a light path being formed between the first end and the second end and extending along an optical axis; a first hole disposed at the first end, extending along the optical axis and forming a part of the light path, the first hole being configured to receive light emitted by a flame to be detected; and a second hole disposed at the second end, extending along the optical axis and forming a part of the light path, sizes of the first and second holes and a length of the light path being configured such that a detection angle of the light guide system is between 0.5 degrees and 3 degrees.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: This disclosure provides transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency and enhanced drought tolerance; propagules, progeny and field crops of such transgenic plants; and methods of making and using such transgenic plants. This disclosure also provides methods of producing hybrid seed from such transgenic plants, growing such seed and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: Provided is an afucosylated monoclonal antibody. The monoclonal antibody is a human IgG antibody and has an afucosylated sugar chain structure at a heavy-chain sugar chain binding site. Also provided are application of the monoclonal antibody in the preparation of antineoplastic drugs, and a composition containing the monoclonal antibody. Compared with a fucosylated monoclonal antibody, the provided afucosylated monoclonal antibody has higher biological activity in vitro and in vivo and can be used for developing more effective therapeutic monoclonal antibody drugs.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules, plant parts and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: Provided is an afucosylated monoclonal antibody. The monoclonal antibody is a human IgG antibody and has an afucosylated sugar chain structure at a heavy-chain sugar chain binding site. Also provided are application of the monoclonal antibody in the preparation of antineoplastic drugs, and a composition containing the monoclonal antibody. Compared with a fucosylated monoclonal antibody, the provided afucosylated monoclonal antibody has higher biological activity in vitro and in vivo and can be used for developing more effective therapeutic monoclonal antibody drugs.

Abstract: Embodiments of the present disclosure relate to a flame detector. The flame detector comprises a light guide system including a first end and a second end opposite to the first end, a light path being formed between the first end and the second end and extending along an optical axis; a first hole disposed at the first end, extending along the optical axis and forming a part of the light path, the first hole being configured to receive light emitted by a flame to be detected; and a second hole disposed at the second end, extending along the optical axis and forming a part of the light path, sizes of the first and second holes and a length of the light path being configured such that a detection angle of the light guide system is between 0.5 degrees and 3 degrees.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: This disclosure provides transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency and enhanced drought tolerance; propagules, progeny and field crops of such transgenic plants; and methods of making and using such transgenic plants. This disclosure also provides methods of producing hybrid seed from such transgenic plants, growing such seed and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic event for the desired enhanced trait.