Breast cancer diagnosis using feature extraction and boosted C5.0 decision tree algorithm with penalty factor

&lt;abstract&gt;&lt;p&gt;To overcome the two class imbalance problem among breast cancer diagnosis, a hybrid method by combining principal component analysis (PCA) and boosted C5.0 decision tree algorithm with penalty factor is proposed to address this issue. PCA is used to reduce the dimension of feature subset. The boosted C5.0 decision tree algorithm is utilized as an ensemble classifier for classification. Penalty factor is used to optimize the classification result. To demonstrate the efficiency of the proposed method, it is implemented on biased-representative breast cancer datasets from the University of California Irvine(UCI) machine learning repository. Given the experimental results and further analysis, our proposal is a promising method for breast cancer and can be used as an alternative method in class imbalance learning. Indeed, we observe that the feature extraction process has helped us improve diagnostic accuracy. We also demonstrate that the extracted features considering breast cancer issues are essential to high diagnostic accuracy.&lt;/p&gt;&lt;/abstract&gt;</jats:p

DESIGN ANALYSIS FOR AN ORTHOGONAL-LOOP-COUPLING YIG TUNABLE FILTER

An orthogonal-loop-coupling YIG tunable filter is analyzed by using the equivalent circuit. By introducing a suitable expression for the self-inductance of the coupling loop, applicable formulae for designing multi-stage YIG filters are given. Using these formulae, an example for designing the two-stage filter is presented. Also, the influence of the parameters of the coupling loops on the passband response is analyzed for a single-stage YIG resonance filter.</jats:p

Anti-scarring effect of sodium hyaluronate at filtration pathway after filtering surgery in rabbits

AIM: To investigate the anti-scarring effect of sodium hyaluronate (HA) at filtration pathway after filtering surgery in a rabbit model. METHODS: Fifteen healthy adult New Zealand white rabbits were selected for trabeculectomy in both eyes. The right eyes were used as HA group with 0.1 mL HA injected into the anterior chamber at the end of the operation; the left eyes were used with 0.1 mL sodium lactate Ringer's solution (RS) injected into the anterior chamber as RS group. Intraocular pressure (IOP), filtering blebs morphology, inflammatory reaction and complications were observed at the 7, 60, and 90d after surgery. RESULTS: One day after surgery, the IOP of HA and RS groups were 12.75±1.92 and 10.50±1.59 mm Hg (P=0.005). At the 7th day postoperative, the filtering blebs of each group were functional type and TGF-β expression was significantly difference in both groups (0.10±0.01 vs 0.14±0.02, P=0.024). After 60d of the operation, all filtering blebs were scarring and alpha-smooth muscle actin (α-SMA) expression was significantly difference in both groups (0.40±0.04 vs 0.35±0.02, P=0.032). α-SMA positive cells were mainly distributed in the junction of conjunctiva and sclera and around the blood vessels. The collagen volume fraction (CVF) of HA and RS group was (75.49±7.01)% and (79.93±5.35)% (P=0.044). On the 90th day after the operation, CVF was (82.57±5.19)% and (88.08±1.75)% in HA and RS groups (P=0.036). There was no α-SMA positive cell in HA group, while a few positive cells were observed in RS group (P=0.000). CONCLUSION: HA has effect of anti-scar and anti-inflammation on filtration pathway after filtering surgery within 3mo by inhibiting fibroblast proliferation and collagen deposition.</jats:p