[Changes in serum YKL-40 level and humoral immune function and their significance in children with recurrent pneumonia].

OBJECTIVE: To investigate the changes in serum YKL-40 level and humoral immune function and their significance in children with recurrent pneumonia. METHODS: Blood samples were collected from 30 children with recurrent pneumonia (recurrent pneumonia group), 30 children with acute pneumonia (acute pneumonia group), and 30 healthy children (control group). Serum YKL-40 levels were measured by enzyme-linked immunosorbent assay. The correlation between serum YKL-40 level and laboratory indices related to humoral immune function was analyzed. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of serum YKL-40 level for recurrent pneumonia. RESULTS: The recurrent pneumonia group had a significantly higher serum YKL-40 level than the acute pneumonia and control groups (P<0.05). The acute pneumonia group had a significantly higher serum YKL-40 level than the control group (P<0.05). Serum levels of IgG and complement 4 in the recurrent pneumonia group were significantly lower than in the acute pneumonia group (P<0.05). Serum YKL-40 level was negatively correlated with serum IgG level (rs=-0.309, P=0.047) and serum complement 4 level (r=-0.324, P=0.039). The area under the ROC curve of serum YKL-40 level for diagnosing recurrent pneumonia was 0.958 (95%CI: 0.921-0.994). CONCLUSIONS: Humoral immune function is low in children with recurrent pneumonia. Serum YKL-40 may be involved in the occurrence of recurrent pneumonia and can be used as a reference index for diagnosing recurrent pneumonia.

Bas-Relief Modeling from Normal Images with Intuitive Styles.

Traditional 3D model-based bas-relief modeling methods are often limited to model-dependent and monotonic relief styles. This paper presents a novel method for digital bas-relief modeling with intuitive style control. Given a composite normal image, the problem discussed in this paper involves generating a discontinuity-free depth field with high compression of depth data while preserving or even enhancing fine details. In our framework, several layers of normal images are composed into a single normal image. The original normal image on each layer is usually generated from 3D models or through other techniques as described in this paper. The bas-relief style is controlled by choosing a parameter and setting a targeted height for them. Bas-relief modeling and stylization are achieved simultaneously by solving a sparse linear system. Different from previous work, our method can be used to freely design bas-reliefs in normal image space instead of in object space, which makes it possible to use any popular image editing tools for bas-relief modeling. Experiments with a wide range of 3D models and scenes show that our method can effectively generate digital bas-reliefs.