Batman University

About: Batman University is a education organization based out in Batman, Turkey. It is known for research contribution in the topics: Diesel fuel & Diesel engine. The organization has 300 authors who have published 810 publications receiving 10346 citations. The organization is also known as: Batman Üniversitesi.

Performance of grape (Vitis vinifera L.) industrial processing solid waste–derived nanoporous carbon in copper(II) removal

Abstract: In this study, copper removal performance of new nanoporous carbon adsorbent (grape waste nanoporous carbon (GWNC)) produced from industrial grape processing solid waste (grape waste) under optimized conditions was investigated. The optimization of removal conditions was determined by examining the effects of GWNC dosage, pH, initial Cu(II) concentration, contact time, and temperature. Kinetic and isotherm data were evaluated in pseudo-first-order and pseudo-second-order kinetic models and Langmuir, Freundlich, and Dubinin-Radushkevich isotherm models, respectively. Kinetic and isotherm data displayed that the Cu(II) adsorption onto GWNC can be well defined by the pseudo-second-order kinetic model and the Langmuir isotherm model. The diffusion mechanism of adsorption was explained using the intra-particle diffusion model. The Cu(II) removal capacity of GWNC at determined optimized conditions was determined to be 80.0 mg g−1. The calculated thermodynamic data revealed the spontaneous and endothermic nature of the Cu(II) adsorption. Desorption studies showed that H2SO4 was the effective desorption agent with the desorption rate of 89.14%. The results in this study emphasized that GWNC is an alternative effective adsorbent to commercial adsorbents for Cu(II) removal.

Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors

Abstract: Gender classification (GC) is one of the major tasks in human identification that increase its accuracy. Local binary pattern (LBP) is a texture method that employed successfully. But LBP suffers a major problem; it cannot capture spatial relationships among local textures. Therefore, in order to increase the accuracy of GC, two LBP descriptors, which are based on (1) spatial relations between neighbors with a distance parameter, and (2) spatial relations between a reference pixel and its neighbor on the same orientation, were employed to extract features from facial images. Additionally, gray relational analysis (GRA) was carried out to identify gender through extracted features. Experiments on the FEI database illustrated the effectiveness of the proposed approaches. Achieved accuracies are 97.14, 93.33, and 92.50% by applying GRA with the nLBP $$_{d}$$ , dLBP $$_{\alpha }$$ , and traditional LBP features, respectively. Experimental results indicated that the proposed approaches were very competitive feature extraction methods in GC. Present work also showed that the nLBP $$_{d}$$ , dLBP $$_{\alpha }$$ methods were obtained more acceptable results than traditional LBP.

The effect of Plantago major Linnaeus on serum total sialic acid, lipid-bound sialic acid, some trace elements and minerals after administration of 7,12-dimethylbenz(a)anthracene in rats.

Abstract: The present study was designed to evaluate the effect of Plantago major Linnaeus (PM) extract on serum total sialic acid (TSA), lipid-bound sialic acid (LSA), some trace elements (copper (Cu), zinc (Zn) and iron) and mineral levels (magnesium, calcium and sodium) in Wistar albino rat administrated 7,12-dimethylbenz(a)anthracene (DMBA). Rats were divided into three equal groups (n = 6). Group I comprised the control group, group II was treated with DMBA (100 mg/kg, single dose) and group III was treated with DMBA (100 mg/kg single dose) and aqueous extract of PM 100 mg/kg/day for 60 days. After 60 days, statistical analyses showed that TSA and LSA levels in DMBA and DMBA + PM groups were significantly higher compared to the control group (TSA: p < 0.01, p < 0.05; LSA: p < 0.05, p < 0.05, respectively). Serum Zn levels were decreased in subjects treated with DMBA (p < 0.01) and DMBA + PM (p < 0.05) compared to the control group values. Serum Cu levels were increased in DMBA group and PM-treated group compared to the control group values. The results of this investigation showed that the levels of TSA and LSA changed significantly, which are sensitive markers for detecting the toxic effects of DMBA. On the other hand, observed decline in Zn levels in rats from DMBA + PM group might be due to decreased generation of free radicals and oxidative stress. Results from this study suggest that PM may be partially effective in preventing carcinogenesis initiated by environmental carcinogen DMBA.