Abstract: A deep learning-based MRI examination and diagnosis system for displacement of a temporomandibular joint disc includes: an acquisition unit, configured to acquire a human head MRI image; a labeling unit, configured to obtain temporomandibular joint area images based on the human head MRI image, and label the temporomandibular joint area images to obtain a training set, the temporomandibular joint area images being classified into images in which a joint disc is in normal and abnormal positions in open and closed states; and a diagnosis unit, configured to construct a first temporomandibular joint disc displacement diagnosis model, and train a first jaw joint disc displacement classification model based on the training set to obtain a second temporomandibular joint disc displacement diagnosis model which is configured to classify and recognize temporomandibular joint area images to be diagnosed, and output a temporomandibular joint disc displacement examination and diagnosis result.

Abstract: A deep learning-based MRI examination and diagnosis system for displacement of a temporomandibular joint disc includes: an acquisition unit, configured to acquire a human head MRI image; a labeling unit, configured to obtain temporomandibular joint area images based on the human head MRI image, and label the temporomandibular joint area images to obtain a training set, the temporomandibular joint area images being classified into images in which a joint disc is in normal and abnormal positions in open and closed states; and a diagnosis unit, configured to construct a first temporomandibular joint disc displacement diagnosis model, and train a first jaw joint disc displacement classification model based on the training set to obtain a second temporomandibular joint disc displacement diagnosis model which is configured to classify and recognize temporomandibular joint area images to be diagnosed, and output a temporomandibular joint disc displacement examination and diagnosis result.

Abstract: The present disclosure discloses a method for identifying a M1 generation plant mutant resulting from physical and chemical mutagenesis, a method for acquiring the plant mutant, a mutant gene, and use thereof. The method for identifying a M1 generation plant mutant resulting from physical and chemical mutagenesis includes: mutagenizing a plant to obtain an M1 generation plant mutant, extracting a mixed pool of DNA from the obtained M1 generation plant mutant, subjecting the mixed pool of DNA to high-depth targeted sequencing for a target gene region, and aligning a sequencing result with the target gene region to identify whether there are target single nucleotide polymorphisms (SNPs) and/or Indel. The method of the present disclosure has high efficiency and high accuracy, involves simple operations, and is of progressive significance for the identification and acquisition of innovative germplasms.

Abstract: The present disclosure provides an electromagnetic touch display device and a method for manufacturing the same. The electromagnetic touch display device includes a display device and an electromagnetic stylus. The display device includes an array substrate, a color filter substrate, a grid array electromagnetic induction layer and a control circuit. The grid array electromagnetic induction layer is arranged on the array substrate or the color filter substrate. The control circuit is connected to the grid array electromagnetic induction layer and configured to detect position information of the electromagnetic stylus on the grid array electromagnetic induction layer.

Abstract: The present disclosure provides an electromagnetic touch display device and a method for manufacturing the same. The electromagnetic touch display device includes a display device and an electromagnetic stylus. The display device includes an array substrate, a color filter substrate, a grid array electromagnetic induction layer and a control circuit. The grid array electromagnetic induction layer is arranged on the array substrate or the color filter substrate. The control circuit is connected to the grid array electromagnetic induction layer and configured to detect position information of the electromagnetic stylus on the grid array electromagnetic induction layer.