Artificial Neural Networks (ANNs) are frequently used to predict various ecological processes and phenomenon related to water resources. Various ANN applications involve the prediction of water quality using various environmental parameters. This paper discusses the use of two environmental data sets from two sampling sites, merged together and applied to forecasting a dependent variable, namel...

Often, economic policies are directed toward outcomes that are measured as counts. Examples of economic variables that use a basic counting scale are number of children as an indicator of fertility, number of doctor visits as an indicator of health care demand, and number of days absent from work as an indicator of employee shirking. Several econometric methods are available for analyzing such ...

Consumers often infer quality information from prices and rely on their reference prices. This paper incorporates both behavioral regularities nto the classic utility function. The analytical investigation reveals five qualitatively different types of consumers, three of which are relatively new o modeling literature. The authors test the model’s theoretical insights using a new experimental me...

In some operational circumstances a fast evaluation of landfill leachate anaerobic treatability is necessary, and neither Biochemical Methane Potential nor BOD/COD ratio are fast enough. Looking for a fast indicator, this work evaluated the anaerobic treatability of landfill leachate from São Carlos-SP (Brazil) in a pilot scale Anaerobic Sequence Batch Biofilm Reactor (AnSBBR). The experiment w...

A method for forecasting the number of parts shipments is proposed for build-to-order products using pre-sales estimate information as a leading indicator. Since the target number of parts shipments changes irregularly and over a short lifecycle, it is difficult to forecast with conventional methods. The method uses Kalman filter to correct for the noise associated with the leading indicator an...

In the database area, elasticity of cloud computing has required data systems to increase and decrease their resources on demand. However, traditional benchmark tools for data systems are not sufficient to analyze some specificities of these systems in a cloud. New metrics for elasticity are needed to provide an indicator both from consumer and provider perspective. In this work we present a se...

Textile dye industry waste is one of the most serious problems in the environment. The dye wastes are severely deleterious to surface water bodies. The present study was an attempt for the assessment of different physicochemical parameters such as pH, temperature, Electrical Conductivity (EC), Total Solids (TS), Total Dissolved Solids (TDS), Total Suspended Solids (TSS), Dissolved Oxygen (DO), ...

There is recent trend of providing additional treatment of wastewater beyond tertiary level. The purpose is to refine water to a quality that is safe for reuse for unrestricted irrigation and other non potable uses. For this purpose Kuwait has built and operated an advanced wastewater treatment plant with present capacity of 500,000 m/d. This plant providing treatment beyond tertiary utilizes t...

This work aimed to produce hydrogen (H₂) simultaneously with pollutant removal from biodiesel wastewater by photocatalytic oxidation using a thermally-treated commercial titanium dioxide (TiO₂) photocatalyst at room temperature (~30 °C) and ambient pressure. The effects of the operating conditions, including the catalyst loading level (1-6 g/L), UV light intensity (3.52-6.64 mW/cm²), initial pH...