Abstract: A system for image reconstruction includes an input for receiving image data, a processor, and a memory. The memory stores instructions that cause the processor to reconstruct an image from the image data using a self-supervised deep learning model.

Abstract: Embodiments of this disclosure provide a method for starting an application and a related apparatus. The method includes the following: A user terminal may acquire a configuration parameter of a target application from a data management server when a start instruction for the target application is detected. The configuration parameter includes plugin configuration information and code package configuration information. The target application can be executed by using a target code package and a locally cached target plugin.

Abstract: The present disclosure belongs to the technical field of porous membrane material preparation, and specifically relates to a reverse osmosis composite membrane with an ultrathin desalting layer and a preparation method thereof; the intermediate layer is introduced after modifying the polysulfone base membrane, the modified polysulfone base membrane support layer may strengthen the bonding to the desalting layer through a covalent bond, and the thickness of the desalting layer is reduced to be ?10 nm, so that the desalination rate of the membrane is not greatly affected while increasing the membrane flux. Compared with the membrane having a conventional thickness of the desalting layer, the water flux of the reverse osmosis composite membrane with an ultrathin desalting layer may be increased by about 0.5 times, while the desalination rate has a small change.

Abstract: Systems and methods for image reconstruction for parallel MR imaging are disclosed that receive a k-space single-coil measurement dataset that includes at least two k-space single-coil measurement sets, transforming the k-space single-coil measurement dataset to an estimated CSM using a coil sensitivity estimation module, and transforming the k-space single-coil measurement dataset and the estimated CSM into a final MR image using an MRI reconstruction module. In some aspects, the coil sensitivity estimation module and MRI reconstruction module include deep learning neural networks trained without the use of ground truth data.

Abstract: The present invention discloses using SPR technology to simultaneously and qualitatively detect different HPV genotypes. It also discloses an efficient formula to make a mixed SAM that can greatly enhance the immobilization ability of the metal surface in SPR based techniques, which is good for the immobilization of HPV specific DNA probes used for the detection of different HPV genotypes.

Abstract: The present invention discloses using SPR technology to simultaneously and qualitatively detect different HPV genotypes. It also discloses an efficient formula to make a mixed SAM that can greatly enhance the immobilization ability of the metal surface in SPR based techniques, which is good for the immobilization of HPV specific DNA probes used for the detection of different HPV genotypes.