Chongxiang Chen, Fei Tang, Felix J F Herth, Yingnan Zuo, Jiangtao Ren, Shuaiqi Zhang, Wenhua Jian, Chunli Tang, Shiyue Li
Building and validating an artificial intelligence model to identify tracheobronchopathia osteochondroplastica by using bronchoscopic images
Therapeutic advances in respiratory disease
evaluate prevalence depression population children aged 8 10 years learning disabilities treated special education home care service sessad identify protective factors might preserve children depressive affective problems twenty children aged 8 10 learning disabilities evaluated prior admission sessad depression assessed multiscore depression inventory children mdic adapted french population well developmental position relation perceptual maturity body schema draw family drawing protective factors assessed qualitative analysis stories told draw family projective drawing card 4 9 20 socialization test children tsea quantitative data computed descriptive statistics nonparametric tests spearmans correlation test jamovi statistic software v2324 qualitative data analyzed thematic content analysis lexical text analysis tropes software v83 quantitative data showed entire group 1 perceptual maturity delay body schema 75 sample 2 low incidence depression population however 40 sample aged 8 9 displaying critical threshold feelings helplessness qualitative analysis draw family tsea stories allowed underline protective factors depression refer decreasing order social support given family members peers emotional substitutes animals research highlighted precocity feelings helplessness population importance given children social support findings future research topic might used guide design implementation adjusted interventions addressing development learning capability psychological empowerment