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374 articles for “Bat”

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Research ArticleOpen accessIn the abstractNew Inorganic Ion-exchange Material for the Selective Removal of Fluoride from Potable Water Using Ion-selective ElectrodeRasheed M.A.Q. JamhourAn ion-exchange procedure involving the selective retention of fluoride ions from aqueous solutions containing 1, 5, 10, 20 and 50 mg F- L-1 using a new inorganic ion exchanger zirconium(IV) oxide-ethanolamine ZrO-EA and its application to fluoride removal from potable water has been described. A column equilibrium studies, batch process and different analytical parameters such as concentration, pH and temperature … …American Journal of Environmental Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 7,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractArchitecture for Combined Energy and Attitude Control SystemIbrahim Mustafa Mehedi, Renuganth Varatharajoo, Harlisya Harun, Mohd Nizam FilipskiCombining the energy and attitude control system is a feasible technology for small satellites to improve the space missions. In this Combined Energy and Attitude Control System (CEACS) a double rotating flywheel is used to replace the conventional battery for energy storage as well as to control the attitude of an earth oriented satellite. Each flywheel is to be controlled … …American Journal of Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2005 · 6,409 accessesView PDFCite
Research ArticleOpen accessIn the abstractPotential of Rice Husk and Rice Husk Ash for Phenol Removal in Aqueous SystemsA. H. Mahvi, A. Maleki, A. EslamiThe potential of rice husk and rice husk ash for phenol adsorption from aqueous solution was studied. Batch kinetics and isotherm studies were carried out under varying experimental conditions of contact time, phenol concentration, adsorbent dose and pH. Adsorption equilibrium of rice husk and rice husk ash was reached within 6 hours for phenolic concentration 150-500 μg/L and 3 hours … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 10,177 accessesView PDFCite
Research ArticleOpen accessIn the abstractHouse Price Prediction: Hedonic Price Model vs. Artificial Neural NetworkVisit Limsombunchai, Christopher Gan, Minsoo LeeThe objective of this study is to empirically compare the predictive power of the hedonic model with an artificial neural network model for house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 9,606 accessesView PDFCite