Çanakkale Onsekiz Mart University
Çanakkale Onsekiz Mart University Institutional Repository DSpace@ÇOMÜNot a member yet
30752 research outputs found
Sort by
A novel filter feature selection method for text classification: Extensive Feature Selector
No full textAs the huge dimensionality of textual data restrains the classification accuracy, it is essential to apply feature selection (FS) methods as
dimension reduction step in text classification (TC) domain. Most of the FS methods for TC contain several number of probabilities.
In this study, we proposed a new FS method named as Extensive Feature Selector (EFS), which benefits from corpus-based and classbased probabilities in its calculations. The performance of EFS is compared with nine well-known FS methods, namely, Chi-Squared
(CHI2), Class Discriminating Measure (CDM), Discriminative Power Measure (DPM), Odds Ratio (OR), Distinguishing Feature
Selector (DFS), Comprehensively Measure Feature Selection (CMFS), Discriminative Feature Selection (DFSS), Normalised Difference
Measure (NDM) and Max–Min Ratio (MMR) using Multinomial Naive Bayes (MNB), Support-Vector Machines (SVMs) and k-Nearest
Neighbour (KNN) classifiers on four benchmark data sets. These data sets are Reuters-21578, 20-Newsgroup, Mini 20-Newsgroup
and Polarity. The experiments were carried out for six different feature sizes which are 10, 30, 50, 100, 300 and 500. Experimental
results show that the performance of EFS method is more successful than the other nine methods in most cases according to microF1 and macro-F1 scores
The Effect of Topically Applied Boric Acid on Ephrin-Eph Pathway in Wound Treatment: An Experimental Study
No full textBackground: Wound healing has a vital importance for the organism and various agents are used to accelerate wound
healing. Although the effect of boron on wound healing is known, its mechanisms are not completely clear yet. In this
study, the effect of boron in the Ephrin /Eph pathway will be evaluated. Methods: Forty adult female rats were used in
the study. A full-thickness excisional wound model was created in all groups divided as Control, Fito, Boron and Plu groups.
After the applications performed twice a day and lasting 7 days, skin tissues obtained and evaluated histopathological
(inflammatory cell infiltration, oedema, and fibroblast proliferation density) and immunohistochemical (TNF-α,
EphrinA1, EphrinB1, EphrinB2 and EphB4). Results: Inflammatory cell infiltration score was found to be higher in the
Fito group compared to Boron group (p =.018). Fibroblast proliferation density was higher in Plu group than Boron
group (p=.012). While TNF-α was lower in boron group than Plu (p =.027) and Fito (p =.016) groups, EphrinA1 was
higher in Boron group than Plu group (p =.005). EphrinB1 expression was higher in Boron group compared to Plu (p=
.015) and Fito (p =.015) groups, and the same difference was also observed in EphrinB2 (p values .000). Similarly,
EphB4 immunoreactivity was higher in the Boron group compared to Plu (p=.000) and Fito (p =.002). Conclusion:
One of the mechanisms of action of boron in wound healing is to increase EphrinB1, EphrinB2 and EphB4. Low TNF-α
and histopathological findings indicate that boron limits extensive wound healing