Prediction model for the quantity and density of first-order branches of in eastern area of Liaoning Province, China.

As an important branch characteristic factor, the quantity of branches could influence crown structure, tree growth, and wood quality. Taking plantation in Dagujia Forest Farm, Qingyuan County, Liao-ning Province as the research object, we developed a mixed effect prediction model of the first-order branches quantity of including sprouting branches based on the negative binomial distribution model, and a mixed effect prediction model of the first-order branches density of including sprouting branches based on the negative exponential model. The results showed that the mixed effect model considering sample level as the random effect effectively decreased the heteroscedasticity and autocorrelation.

[Crown width model for planted Korean pine in eastern Liaoning mountains based on mixed effect linear quantile].

Crown width is a critical variable in reflecting the individual tree growth status and in developing forest growth and yield models. With the crown width base model as reference, we developed the crown width quantile regression models for different quantiles (0.50, 0.

Inhibitory Growth of Oral Squamous Cell Carcinoma Cancer via Bacterial Prodigiosin.

Chemotherapy drugs for oral cancers always cause side effects and adverse effects. Currently natural sources and herbs are being searched for treated human oral squamous carcinoma cells (OSCC) in an effort to alleviate the causations of agents in oral cancers chemotherapy. This study investigates the effect of prodigiosin (PG), an alkaloid and natural red pigment as a secondary metabolite of , to inhibit human oral squamous carcinoma cell growth; thereby, developing a new drug for the treatment of oral cancer.