Abstract: The invention relates to a non-slip bath mat (including an anti-slip foot mat and a bathtub mat), which comprises a mat body, on which a plurality of flexible protrusions are distributed, and closed airbag cavities are formed between the flexible protrusions and the mat body; when a person stands, sits or lies on the flexible protrusions with the airbag cavities, the flexible protrusions with the airbag cavities are connected under the human body, and the total ultimate bearing capacity of the flexible protrusions in the area is greater than the weight of a human being. The invention aims to improve the stability of the bathroom mat and facilitate cleaning and maintenance.

Abstract: A guide frame for a four-way reversing valve includes a frame body. Both ends of the frame body include a connecting portion, respectively. The connecting portion includes a first bending member and a second bending member, and the directions of bending of the first bending member and of the second bending member are opposite. The connecting portion includes a reinforcing member. The reinforcing member includes a first reinforcing plate and a second reinforcing plate. The first reinforcing plate is connected to the inner side of the first bending member by welding and the second reinforcing plate is connected to the inner side of the second bending member by welding. The connection strength of the connecting portion is increased, such that the guide frame is less likely to deform or break.

Abstract: A touch screen scanning method, a device, and a system are provided. Only a display scan or one touch scan is performed in each period of each frame scanning cycle, and then the display scan and/or at least one touch scan is completed in each frame scanning cycle. The display scan and the at least one touch scan do not interfere with each other during each process, thereby ensuring accuracy of a scan result and display performance of a touch screen.

Abstract: A medical image segmentation method include: 1) acquiring a medical image data set; 2) acquiring, from the medical image data set, an original image and a real segmentation image of a target region in the original image in pair to serve as an input data set of a pre-built constant-scaling segmentation network, the input data set including a training set, a verification set, and a test set; 3) training the constant-scaling segmentation network by using the training set to obtain a trained segmentation network model, and verifying the constant-scaling segmentation network by using the verification set, the constant-scaling segmentation network including a feature extraction module and a resolution amplifying module; and 4) inputting the original image to be segmented into the segmentation network model for segmentation to obtain a real segmentation image.

Abstract: Disclosed are a thin-disk regenerative amplifier and an amplification method. The thin-disk regenerative amplifier includes an input and output light path and an amplification light path. A seed laser is input into the thin-disk regenerative amplifier through the input and output light path, and reflected and amplified by the amplification optical path to obtain an amplified laser. After reaching a predetermined threshold, the amplified laser is output through the input and output light path. The input and output optical path includes an optical isolator, a first polarization beam splitter, an optical rotator, a second polarization beam splitter, a first reflective mirror, and a second reflective mirror. The amplification light path includes an input mirror, a thin-disk crystal, a pumping device, a first concave reflective mirror, and a second concave reflective mirror.

Abstract: A touch screen scanning method, a device, and a system are provided. Only a display scan or one touch scan is performed in each period of each frame scanning cycle, and then the display scan and/or at least one touch scan is completed in each frame scanning cycle. The display scan and the at least one touch scan do not interfere with each other during each process, thereby ensuring accuracy of a scan result and display performance of a touch screen.

Abstract: A laser device includes a gain medium, a zero-degree reflective mirror, a first retro-reflective mirror, a second retro-reflective mirror, and an output coupling mirror. The gain medium is used to generate radiation light; the zero-degree reflective mirror has a common optical axis with the gain medium, and the zero-degree reflective mirror is used to totally reflect second-direction radiation light that is incident on the zero-degree reflective mirror in an optical-axis direction; the first-direction radiation light and the first emitted light are spaced from and parallel to each other in opposite directions; the first emitted light and the second emitted light are spaced from and parallel to each other in opposite directions; a resonant cavity is formed between the zero-degree reflective mirror and the output coupling mirror; the output coupling mirror is used to transmit and output first partial radiation light, and reflect second partial radiation light.

Abstract: A guide frame for a four-way reversing valve is provided. The guide frame includes a frame body. Both ends of the frame body are provided with a connecting portion, respectively. The connecting portion includes a first bending member and a second bending member, and the directions of bending of the first bending member and of the second bending member are opposite. The connecting portion is provided with a reinforcing member. The reinforcing member includes a first reinforcing plate and a second reinforcing plate. The first reinforcing plate is connected to the outer side of the first bending member by welding, and the second reinforcing plate is connected to the outer side of the second bending member by welding. Optionally, the first reinforcing plate is connected to the inner side of the first bending member by welding and the second reinforcing plate is connected to the inner side of the second bending member by welding.

Abstract: A medical image segmentation method include: 1) acquiring a medical image data set; 2) acquiring, from the medical image data set, an original image and a real segmentation image of a target region in the original image in pair to serve as an input data set of a pre-built constant-scaling segmentation network, the input data set including a training set, a verification set, and a test set; 3) training the constant-scaling segmentation network by using the training set to obtain a trained segmentation network model, and verifying the constant-scaling segmentation network by using the verification set, the constant-scaling segmentation network including a feature extraction module and a resolution amplifying module; and 4) inputting the original image to be segmented into the segmentation network model for segmentation to obtain a real segmentation image.