Biomedical subjects

Pingshan Li

Publications and source records attributed to Pingshan Li.

3 recordsLinked to original sources

PubMed2006

[Clinical study on effect of fluoxetine combined with Chinese medicine or tibetan drugs in treating senile depression in plateau district].

OBJECTIVE: To compare the ettect and side-ettect of fluoxetine and combination of fluoxetine and Chinese or Tibetan medicine in treating senile depression in plateau district. Methods Ninety patients with diagnosis of senile depression conformed to CCMD-3 standard, in plateau district of 2260 - 3200 m altitude were randomly divided into three groups and treated with fluoxetine (group A), fluoxetine plus Sanpu Xinnao Xin granule (group B) and fluoxetine plus Xiaoyao pill (group C), respectively, 30 cases in each group. Therapeutic effects were evaluated with Hamilton' s depressive scale (HAMD) and treatment emergent symptom scale (TESS) after 6 weeks treatment. RESULTS: There was no significant difference in the therapeutic effects between the three groups. The adverse reaction in Group B and C was less than that in Group A (P<0.01). Conclusion Sanpu Xinnao Xin granule and Xiaoyao pill can raise the tolerance of patients with senile depression in plateau area against the adverse reaction of fluoxetine.

Aged↗

PubMed2004

Tone-dependent error diffusion.

We present an enhanced error diffusion halftoning algorithm for which the filter weights and the quantizer thresholds vary depending on input pixel value. The weights and thresholds are optimized based on a human visual system model. Based on an analysis of the edge behavior, a tone dependent threshold is designed to reduce edge effects and start-up delay. We also propose an error diffusion system with parallel scan that uses variable weight locations to reduce worms.

Algorithms↗

PubMed2004

Clustered-minority-pixel error diffusion.

We present a clustered-minority-pixel error-diffusion halftoning algorithm for which the quantizer threshold is modified on the basis of the past output and a dot activation map. Dot area, dot shape, and dot distribution are more controllable than with other clustered-dot halftone algorithms such as Levien's algorithm. This method also effectively reduces structured mazelike artifacts in midtones that occur in Levien's algorithm. The dot distribution is further improved by using different error-diffusion weights for different input gray levels.

Journal Article↗