Investigation of avian diseases eradication in parent breeding flocks in China in 2015 / 中国兽医学报

In order to understand the management measures,technique abilities and difficulties in controlling and eradicating avian diseases in parent breeding flocks,the current situation of avian disease eradication in breeding flocks was investigated by China Animal Disease Control Centre in 19 provinces in July 2015.Questionnaires investigation was conducted and the feedbacks were received from 214 parent breeding flocks.This study summarized and analyzed the information of farm management,breeding resources,avian disease surveillance and disease eradication in these flocks,which will provide the basic data to promote the avian diseases control and eradication in China.

Ensemble Partial Least Squares Algorithm Based on Variable Clustering for Quantitative Infrared Spectrometric Analysis / 分析化学

Due to the ability of overcoming both the dimensionality and the collinear problems of the spectral data, partial least squares ( PLS ) is in ever increasingly used for quantitative spectrometric analysis, especially for near-infrared spectrum, mid-infrared spectrum and Raman spectrum. In this work, an improved PLS algorithm is proposed for efficient information extraction and noise reduction. The spectral variables are clustering to several subsets, and several sub-models are built for each subset. Then, the sub-models are re-weighted and ensemble to the final model. Experiments on two near-infrared datasets ( octane number prediction in gasoline and nicotine prediction in tobacco leafs ) demonstrate that the new method provides superior prediction performance and outperformed the conventional PLS algorithm, and the root mean square error of prediction ( RMSEP) is reduced by 32% and 22%, respectively.

Expression and clinical significance of Rac-1 and HIF-1α in breast cancer / 肿瘤研究与临床

ObjectiveTo explore the expression and clinical significance of Ras-related C3 botulinum toxin substrate 1 (Rac-1) protein and hypoxia-inducible factor 1α (HIF-1α) in breast cancer and their relationship with tumor stage, node metastasis status and hormone receptor status. MethodsImmunohistochemical method was used to detect the expression of Rac-1 and HIF-1α protein in 139 specimens of breast cancer,combined with their clinical pathological characteristics and hormone receptor status for statistical analysis.Results The expression of Rac-1 and HIF-1α in breast cancer tissue were 64.75 ％ and 65.47 ％,respectively.The levels were related with the stage of TNM and histological grade (P ＜ 0.05,P ＜ 0.01).There was no significant correlation between these two proteins'expression and the age of patient,primary pathological location, histologic type and menstruation status of breast cancer patients(P ＞ 0.05). The expression of Rac-1 and HIF-1α had no statistical significance between triple negative breast cancer(TNBC)and non-triple negative breast cancer (NTNBC) patients (x2 =1.1229,x2 =0.1786,P ＞ 0.05); The expression level of Rac-1 was positively correlated with HIF-1α in these breast cancer specimens (rs =0.414,P ＜ 0.01).ConclusionThe expression of Rac-1 is positively correlated with HIF-1α level in breast cancer.The relationship between Rac-1 and HIF-1α might be as a new important marker to estimate the invasion,metastasis extent and prognosis in breast cancer.Blocking the regulation between Rac-1 and HIF-1α might be a new treatment target in breast cancer.