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Objective: To investigate ocular development and the characteristics of visual function among children with cerebral palsy (CP) and intellectual disabilities in Beijing's Chaoyang District schools., Methods: A total of 160 children (320 eyes) with CP and intellectual disabilities, including 86 males and 74 females aged between 6 and 18 years old (median, 13.5 years), were included in this study. A total of 214 healthy children aged 6 to 18 years (median, 10 years) were recruited as a control group for visual function, including 116 males and 98 females. Subjective far vision, objective vision (electrophysiological sweep visual evoked potential), corrected vision, near stereopsis, ametropia, the anterior segment, and the fundus were examined., Results: A total of 232 eyes (76.32%) were ametropic among 304 eyes that could cooperate; 200 eyes (65.79%) were astigmatic, 16 eyes (5.26%) were hyperopic, and 120 eyes (39.47%) were myopic. A total of 64 children had strabismus (40%), and 24 had nystagmus (15%). The near stereopsis test showed that 72 children (64.29%) demonstrated 100″ and less. A total of 214 healthy children aged 6 to 18 years were recruited as a control group for visual function. There was a significant difference in visual functions between children with intellectual disabilities and those without (Z = -10.370; P < 0.001)., Conclusions: The prevalence of abnormal visual function in children with CP and intellectual disability was significantly higher than that in healthy children. Among them, myopia is the main refractive error, and the correction rate was low., Translational Relevance: The electrical signals generated by stimulating the retina with black and white stripes are transmitted to the brain. Scanning electrophysiological devices can capture the activity of the cerebral cortex and convert it into an electroencephalogram. Scanning electrophysiological electrooculography is used to examine the objective vision of children with cerebral palsy.

The adverse effects of global climate change on human production and life are becoming increasingly prominent. Responding to climate change has become a severe challenge faced by human society, and the reduction in greenhouse gas emissions has gradually become a common action by all countries. Therefore, analyzing carbon emissions through scientific methods has become an important foundation for responding to the national "dual carbon" strategy. This study used provincial-level carbon emission statistics, combined with nighttime light data and population data, and assigned carbon emissions to the grid scale. It also analyzed the temporal and spatial characteristics and evolution characteristics of carbon emissions in China in 2000, 2005, 2010, 2015, and 2018, as well as the correlation between carbon emissions and the economy. The results showed that:① from 2000 to 2018, the total CO 2 emissions in China continued to grow, but the growth rate slowed over time. The average annual growth rate of carbon emissions dropped from 9.9% in 2000-2010 to 7.4% in 2010-2018. From the perspective of spatial distribution, carbon-free areas were mainly distributed in the northwest uninhabited area and northeast forest and mountainous areas, low-carbon emissions were mainly distributed in the vast small and medium-sized cities and towns, and high-carbon emissions were concentrated in northern, central, eastern coastal, and western provincial capitals and urban agglomerations. ② Carbon emissions had high-value or low-value agglomerations at prefecture-level cities; this agglomeration tended to stabilize as a whole and had strengthened after 2005. Low-low agglomeration areas were mainly distributed in the western contiguous areas and Hainan Island. With economic and social development, low-low agglomeration areas began to fragment and reduce in size; high-high agglomeration areas were mainly distributed in the Beijing-Tianjin-Hebei urban agglomeration, Taiyuan urban agglomeration, Yangtze River Delta urban agglomerations, and Pearl River Delta urban agglomerations, and the scale was gradually strengthened and consolidated; high-low and low-high agglomeration areas mainly appeared in neighboring cities with large differences in economic development levels. ③ Carbon emissions in most parts of China were relatively stable. The areas where carbon emissions had changed were mainly distributed in the peripheral areas of provincial capitals and key cities, and there was a circle structure with no changes in the central urban area and changes in carbon emissions in the peripheral areas. ④ The overall process of urban development in China from 2000 to 2018 followed a shift from "low emission-low income" to "high emission-low income" to "high emission-high income" and finally to "low emission-high income." The growth rate of carbon emissions in China is slowing down. Under the background of the "dual carbon" strategy, different regions face different carbon emission reduction tasks and pressures due to different carbon emission situations. Therefore, the differentiated carbon emissions policy should be implemented by regions and industries.