Improved Lithium Storage Performance of a TiO2 Anode Material Doped by Co.

TiO2 is a promising anode material for lithium-ion batteries (LIBs) due to its low cost, suitable operating voltage, and excellent structural stability. The inherent poor electron conductivity and low ion diffusion coefficient, however, severely limit its application in lithium storage. Here, Co-doped TiO2 is synthesized by a hydrothermal method as an anode material since Co@TiO2 possesses a large specific surface area and high electronic conductivity. Thanks to the Co dopants, the ion diffusion and electron transport are both greatly improved, which is very beneficial for cycle stability, coulombic efficiency (CE), reversible capacity, and rate performance. As a result, Co@TiO2 shows a high reversible capacity of 227 mAh g-1 at 3 C, excellent rate performance, and cycling stability with a capacity of about 125 mAh g-1 at 10C after 600 cycles (1 C = 170 mA g-1).

[DAB2IP expression in bladder transitional cell carcinoma and its correlation with clinical outcome].

OBJECTIVE: To investigate the expression of DAB2IP in bladder transitional cell carcinoma (BTCC) and its correlation with clinical characteristics and prognosis of BTCC patients. METHODS: Immunohistochemical staining was applied to detect DAB2IP protein level in 79 cases of TCCB tissues and 11 cases of normal bladder tissues, and the relationships of the staining results with pathological grade, stage, lymph node metastasis, gender, age and the 3-year survival rate of the patients were analyzed. RESULTS: The expression of DAB2IP in BTCC tissues was significantly lower than that in normal bladder epithelium, and the expression score and rate of DAB2IP in the high-grade, invasive and metastatic BTCC were significantly lower than those in low-grade, superficial and non-metastatic BTCC (P < 0.05). The 3-year survival rate of the patients with high DAB2IP expression was significantly higher than that of the patients with low DAB2IP expression. CONCLUSION: DAB2IP may be one of the important inhibitory factors during the occurrence and progression of BTCC.

[Study on bladder cancer tissues with Raman spectroscopy].

The scope of this research lies in diagnosis of bladder cancer through Raman spectra. The spectra of bladder cancer and normal bladder were measured by using laser confocal Raman micro-spectroscopy. Principal component analysis/support vector machines was applied to the spectral dataset to construct diagnostic algorithms, then to detect the accuracy of these algorithms to determine histological diagnosis by leave-one-out cross validation from its Raman spectrum. It was showed that the peak intensity of nucleic acid (782, 1 583 cm(-1)) in bladder cancer and protein (1 061, 1 295, 2 849, 2 881 cm(-1)) in normal bladder increased significantly. Additionally, Principal component analysis (PCA) and support vector machines (SVM) provided an effective tool for differentiating the bladder cancer from normal bladder tissue. Excellent sensitivity (86.7%), specificity (87.5%), positive predictive value (92.9%), and negative predictive value (72. 8%) for the diagnosis of bladder cancer were obtained by leave-one-out cross validation. It was concluded that Raman spectroscopy can be used to accurately identify bladder cancer in vitro, and it suggests the promising potential application of PCA/SVM-based Raman spectroscopy for the diagnosis of bladder cancer.