Is Goshinjo therapy effective in cognitive impairment after severe traumatic brain injury?

We report a case of a 21-year-old man who had severe traumatic brain injury as a result of an accident at the age of 16 years. Two years and 4 months after the trauma, at the age of 19 years, he still had severe right hemiplegia and cognitive dysfunction including aphasia and attention and memory disturbance. Conventional rehabilitation programs cou（d not resolve all of the neuropsychological problems. He started receiving Goshinjo therapy over a period of 22 months. Following the therapy, significant improvements in verbal intelligence quotient （assessed by the Wechsler Adult Intelligence Scale-Third Edition） and attention and concentration function （using the Wechsler Memory Scale-Revised）, and remission of traumatic epilepsy were observed. Goshinjo therapy is suspected to be effective in the treatment of cognitive dysfunction in the chronic stage after severe traumatic brain injury.

3D depth-coded photoacoustic microscopy with a large field of view for human skin imaging

Photoacoustic （PA） microscopy comes with high potential for human skin imaging, since it allows noninvasively high-resolution imaging of the natural hemoglobin at depths of several millimeters. Here, we developed a PA microscopy to achieve high-resolution, high-contrast, and large field of view imaging of skin. A three-dimensional （3D） depth-coding technology was used to encode the depth information in PA images, which is very intuitive for identifying the depth of blood vessels in a two-dimensional image, and the vascular structure can be analyzed at different depths. Imaging results demonstrate that the 3D depth-coded PA microscopy should be translated from the bench to the bedside.

Evaluation of Street Space Renovation in Historic Areas Using Deep Learning Based on Street View Imagery in the Human Visual Field

Regular evaluation of street space is essential for achieving sustainable development and dynamic maintenance of historic areas.Although quantitative evaluations using street view imagery are precise and efficient,they often fall short in capturing pedestrians’visual experience,largely because images are collected from vehicles.Accordingly,this paper acquires street view imagery in the human visual field before and after the street space renovation by adjusting relevant parameters,and performs image semantic segmentation.From a pedestrian’s viewpoint,the paper develops street space evaluation indicators across four dimensions:comfort,identity,diversity,and walkability.The mean square deviation method is applied to assign weights to these indicators,enabling a comprehensive evaluation of street space in historic areas.In addition to evaluating the renovation results,it proposes improvement suggestions that may provide insights into the evaluation practices of street space renovations in historic areas and contribute to improving street space quality.