Value of Rehabilitation Training for Children with Cerebral Palsy Diagnosed and Analyzed by Computed Tomography Imaging Information Features under Deep Learning.

To analyze the brain CT imaging data of children with cerebral palsy (CP), deep learning-based electronic computed tomography (CT) imaging information characteristics were used, thereby providing help for the rehabilitation analysis of children with CP and comorbid epilepsy. The brain CT imaging data of 73 children with CP were collected, who were outpatients or inpatients in our hospital. The images were randomly divided into two groups.

Adsorption of Cd(II) from aqueous solution by Pennisetum sp. straw biochars derived from different modification methods.

The adsorption mechanism of Cd (II) was investigated by Pennisetum sp. straw biochars (JBC) that were modified by two different methods: KMnO impregnation (JMB1) and HO impregnation (JMB2). A scanning electron microscope and energy-dispersive spectroscopy (SEM-EDS), X-ray diffraction (XRD), a Fourier transform infrared spectrometer (FTIR), and a Brunauer-Emmett-Teller (BET) specific surface area analysis were employed to examine the physicochemical characteristics of biochars.