[Analysis of professor Lin Yi's experience for metastasis breast cancer by data mining].

Data mining method based on the traditional Chinese medicine(TCM) inheritance system(V2.5) was adopted to analyze professor Lin Yi's experience for metastasis breast cancer(MBC) by analysing the high frequency medicine, drug categories，drug properties，the key symptoms and key drugs of different metastasis regions and different syndromes, drug symptom analysis in the effective prescriptions for treating MBC by Lin from January 2013 to December 2017. A total of 89 MBC patients, 5 syndromes and 117 prescriptions were involved. The first 10 most frequently used were Atractylodis Macrocephalae Rhizoma, Poria, Dioscoreae Rhizoma, Coicis Semen, Crataegi Fructus, Hordei Fructus Germinatus, Galli Gigerii Endothelium Corneum, Hedyotis Diffusa, Codonopsis Radix, Astragali Radix. The warm and placid property was higher, the most herbs had Gan taste, the first two channel tropisms were spleen and the stomach. Drug symptom analysis in 5 different metastasis regions and 6 different syndromes were also been done. The conclusion showed that professor Lin's experience as: recognizing the basis of diseases,differentiating the syndrome, combinating disease and syndrome, cautiously grasping pathogenesis,combinating tonification and purgation together, regulating balance, treating the symptoms and origin, regulating spleen and stomach, caring for the postnatal throughout, prefering ancient prescription,rational compatibility, using medicine gently.

[Construction of vegetation shadow index (SVI) and application effects in four remote sensing images].

Taking the images of Landsat TM, ALOS AVNIR-2, CBERS-02B CCD and HJ-1 CCD as the experimental data, for increasing the differences among shaded area, bright area and water further, the present paper construed a novel vegetation index-Shaded Vegetation Index(SVI), which can not only keep the absolute differences among bright area, shaded area and water area in the near-infrared band, but also can enlarge NDVI, eliminate the possible mixes, and change the histogram "skewed" phenomenon of NDVI, so the vegetation index value is closer to normal distribution, and more in line with the filed condition; this new index was applied to the surface features of large difference of the near-infrared radiation characteristics. Verified by accuracy assessment for the bright area, shaded area and water area recognition effects with SVI, it was showed that the overall classification accuracies of these images were up to 98. 89%, 100%, 97.78% and 97.78% respectively, with the overall Kappa statistics of 0.9833, 1, 0.9667, and 0.966 7, indicating that SVI has excellent detection effects for bright area, shaded area and water area; the statistical comparison of sub-images between SVI and NDVI also illustrated the reliability and effectiveness of SVI, which can be applied in the shadow removal for remote sensing images.

[Spectral features analysis of Pinus massoniana with pest of Dendrolimus punctatus Walker and levels detection].

Taking 51 field measured hyperspectral data with different pest levels in Yanping, Fujian Province as objects, the spectral reflectance and first derivative features of 4 levels of healthy, mild, moderate and severe insect pest were analyzed. On the basis of 7 detecting parameters construction, the pest level detecting models were built. The results showed that (1) the spectral reflectance of Pinus massoniana with pests were significantly lower than that of healthy state, and the higher the pest level, the lower the reflectance; (2) with the increase in pest level, the spectral reflectance curves' "green peak" and "red valley" of Pinus massoniana gradually disappeared, and the red edge was leveleds (3) the pest led to spectral "green peak" red shift, red edge position blue shift, but the changes in "red valley" and near-infrared position were complicated; (4) CARI, RES, REA and REDVI were highly relevant to pest levels, and the correlations between REP, RERVI, RENDVI and pest level were weak; (5) the multiple linear regression model with the variables of the 7 detection parameters could effectively detect the pest levels of Dendrolimus punctatus Walker, with both the estimation rate and accuracy above 0.85.

Excellent effect of three-dimensional culture condition on pancreatic islets.

AIM: Culture of cells in simulated microgravity may be potentially beneficial to the fields of cell biology and somatic cell therapy. We aimed to examine three-dimensional culture condition on pancreatic islets. METHODS: Islets of Langerhans were cultured in conditions of stasis, microgravity, and microgravity with a polyglycolic acid (PGA) fibrous scaffold. After 5 days in culture, islets were transplanted into the leg muscles of streptozotocin-treated diabetic Wistar rats. The blood glucose and insulin content were determined from the tail vein blood of recipients. The grafts were then frozen, dried, and coated for analysis by scanning electron microscopy. RESULTS: Grafts cultured in the three-dimensional conditions (simulated microgravity in the presence or absence of a PGA fibrous scaffold) were capable of significantly normalizing insulin production and blood glucose concentration when compared to control grafts (p<0.017). Scanning electron microscopy showed that the transplanted islets from three-dimensional culture groups demonstrated normal morphology with extracellular matrix on the surface. Islets in the PGA group exhibited well adhesion to PGA scaffolds. CONCLUSIONS: The three-dimensional culture conditions significantly improved the function and morphology of the grafts. The function and morphology of the grafts in the microgravity with a scaffold group was the excellent one.