Abstract: In a method for efficiently inducing reprogramming of human cells into neuronal cells, a concentration of cAMP is increased or an expression of PKA and CREB is up-regulated or an expression of AMPK, ALK2, ALK3, P38, and JNK is inhibited by a single small molecule compound or gene knockout or gene overexpression. In the present disclosure, the induction small molecule compound is single and safe, and has a short induction time, high induction efficiency, definite induction sites and genes, and clear molecular regulation mechanism. The small molecule compound can be applied to the clinical treatment of human neurodegenerative diseases, providing a safer and more efficient treatment method for the neurodegenerative diseases. Since neuronal cells cannot divide and proliferate, the method induces fibroblasts and astrocytes that can divide and proliferate in vitro and in vivo, to continuously obtain a large number of induced neuronal cells in vitro and in vivo.

Abstract: A method for generating a human-computer interactive abstract image includes: S1: obtaining and preprocessing the original abstract images used as a training dataset B to obtain edge shape feature maps used as a training dataset A; S2: using the training dataset A and the training dataset B as cycle generative objects of a Cycle-GAN model, and training the Cycle-GAN model to capture a mapping relationship between the edge shape feature maps and the original abstract images; S3: obtaining a line shape image drawn by a user; and S4: according to the mapping relationship, intercepting a generative part in the Cycle-GAN model that the dataset B is generated from the dataset A, discarding a cycle generative part and a discrimination part in the Cycle-GAN model, and generating a complete abstract image based on the line shape image to generate the human-computer interactive abstract image.

Abstract: A method for positioning key features of a lens based on ocular B-mode ultrasound images includes: acquiring and preprocessing the ocular B-mode ultrasound images to obtain a preprocessed B-mode ultrasound image, eyeball coordinates and lens coordinates; sending the preprocessed B-mode ultrasound image, the eyeball coordinates and the lens coordinates into a trained target detection network YOLOv3 to obtain eyeball position images and lens position images; substituting the eyeball position images and the lens position images into a trained feature extraction network group to obtain image features and feature coordinates corresponding to the eyeball position images and the lens position images, respectively; substituting the image features into a trained collaborative learning network to screen key image features; and marking a feature coordinate corresponding to the key image features on the ocular B-mode ultrasound images to complete positioning the key features of the lens.

Abstract: The present disclosure provides a method for inducing transdifferentiation of somatic cells into mammary epithelial cells in vitro using a small molecule compound. The method includes: inhibiting an expression of TGFbeta R1 and related sites thereof, to induce the transdifferentiation of the somatic cells into the mammary epithelial cells in vitro. The present disclosure fills a gap in the technology of inducing the transdifferentiation of fibroblasts to the mammary epithelial cells using the small molecule compound; the present disclosure also provides a research platform for in vitro researches on a mammary gland bioreactor, mammary gland development and differentiation, breast cancer, and transdifferentiation of the fibroblasts into other types of functional cells.

Abstract: A method for generating a human-computer interactive abstract image includes: S1: obtaining and preprocessing the original abstract images used as a training dataset B to obtain edge shape feature maps used as a training dataset A; S2: using the training dataset A and the training dataset B as cycle generative objects of a Cycle-GAN model, and training the Cycle-GAN model to capture a mapping relationship between the edge shape feature maps and the original abstract images; S3: obtaining a line shape image drawn by a user; and S4: according to the mapping relationship, intercepting a generative part in the Cycle-GAN model that the dataset B is generated from the dataset A, discarding a cycle generative part and a discrimination part in the Cycle-GAN model, and generating a complete abstract image based on the line shape image to generate the human-computer interactive abstract image.

Abstract: A method for positioning key features of a lens based on ocular B-mode ultrasound images includes: acquiring and preprocessing the ocular B-mode ultrasound images to obtain a preprocessed B-mode ultrasound image, eyeball coordinates and lens coordinates; sending the preprocessed B-mode ultrasound image, the eyeball coordinates and the lens coordinates into a trained target detection network YOLOv3 to obtain eyeball position images and lens position images; substituting the eyeball position images and the lens position images into a trained feature extraction network group to obtain image features and feature coordinates corresponding to the eyeball position images and the lens position images, respectively; substituting the image features into a trained collaborative learning network to screen key image features; and marking a feature coordinate corresponding to the key image features on the ocular B-mode ultrasound images to complete positioning the key features of the lens.

Abstract: The present invention provides a resin composition used for peelable coating and compounding process thereof. The composition includes the following components: (a) 100 parts by weight of film-forming resin containing at least one acrylic resin; (b) 0.1-40 parts by weight of at least one separating agent, which is polypropylene glycol or glycerin fatty acid ester or their mixtures; and (c) 40-60 parts by weight of at least one solvent. The peelable coating formed from the resin composition has excellent water resistance and excellent peeling performance even under the condition of prolonging storage period.

Abstract: The present invention provides a resin composition used for peelable coating and compounding process thereof. The composition includes the following components: (a) 100 parts by weight of film-forming resin containing at least one acrylic resin; (b) 0.1-40 parts by weight of at least one separating agent, which is polypropylene glycol or glycerin fatty acid ester or their mixtures; and (c) 40-60 parts by weight of at least one solvent. The peelable coating formed from the resin composition has excellent water resistance and excellent peeling performance even under the condition of prolonging storage period.