Ara
Toplam kayıt 1610, listelenen: 91-100
Kinetic and equilibrium study of methylene blue adsorption using H2SO4-activated rice husk ash
(Desalination Publ, 2016)
The objective of this study is to evaluate the performance of H2SO4-activated rice husk ash (ARHA) (burned at different temperatures (300-550 degrees C) as compared to granular activated carbon (GAC) in the removal of ...
Effect of bromide and other factors on brominated trihalomethanes formation in treated water supply in Jordan
(Desalination Publ, 2016)
Chlorine disinfection of drinking water containing natural organic matter leads to the formation of brominated trihalomethanes (THMs) in the presence of bromide ions. In the present study, the results of an experimental ...
Determination of optimum extinction wavelength for paracetamol removal through energy efficient thin film reactor
(Elsevier Science Sa, 2016)
Paracetamol (PAM) mineralization through nano-composite thin film (TF) based photocatalytic system was investigated under variable operational conditions. The experiments were conducted using a non stirred flow through ...
Decolorization of methylene blue and methyl orange with Ag doped TiO2 under UV-A and UV-Visible conditions: Process optimization by response surface method and toxicity evaluation
(Global Network Environmental Science & Technology, 2016)
MB decolarization with pure TiO2 and Ag doped TiO2 based photocatalytic system were investigated under UV-A and UV-Visible conditions. Different ratios of Ag were used as metal dopant. 1% Ag-TiO2 increased the decolorization ...
Enhancement of Methylene Blue dye adsorption by Fe-Hydroxyapatite composite
(Techno-Press, 2016)
Synthesized hydroxyapatite (Hyd) and Fe-hydroxyapatite (Fe-Hyd) composite were used for the removal of Methylene Blue (MB) from aqueous solutions in this study. The effect of adsorbent amount, pH and initial MB concentration ...
Video-based emotion recognition in the wild using deep transfer learning and score fusion
(Elsevier, 2017)
Multimodal recognition of affective states is a difficult problem, unless the recording conditions are carefully controlled. For recognition in the wild, large variances in face pose and illumination, cluttered backgrounds, ...
Minimum Spanning Tree Reflects the Alterations of the Default Mode Network During Alzheimer's Disease
(Springer, 2011)
This study analyzes the connectivity pattern of the default mode network (DMN) in patients with Alzheimer's disease (AD) in comparison with young and elderly controls using the minimum spanning tree (MST). This tree is a ...
Metallic composition and source apportionment of fine and coarse particles using positive matrix factorization in the southern Black Sea atmosphere
(Elsevier Science Inc, 2012)
In this study, coarse- (PM2.5-10) and fine (PM2.5) fraction aerosol samples were collected using a dichotomous sampler, and their metallic composition (Mg, Al, Ti, Ca, Cr, Cu, Fe, K, Mn, Ni, Pb, and Zn) were analyzed using ...
Pollution profile and biodegradation characteristics of fur-suede processing effluents
(Taylor & Francis Ltd, 2011)
This study investigated the effect of stream segregation on the biodegradation characteristics of wastewaters generated by fur-suede processing. It was conducted on a plant located in an organized industrial district in ...
Artificial Neural Network Predictions of Up-Flow Anaerobic Sludge Blanket (UASB) Reactor Performance in the Treatment of Citrus Juice Wastewater
(Hard, 2012)
The operation of a full-scale up-flow anaerobic sludge blanket (UASB) reactor treating citrus juice wastewater was observed for two years. The average total chemical oxygen demand (COD) removal efficiency was determined ...