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Full-Text Articles in Engineering

The Effect Of A Repetitive, Fatiguing Lifting Task On Horizontal Ground Reaction Forces, Yu Shu, Jonathan Drum, Stephanie Southard, Gwanseob Shin, Gary A. Mirka Aug 2005

The Effect Of A Repetitive, Fatiguing Lifting Task On Horizontal Ground Reaction Forces, Yu Shu, Jonathan Drum, Stephanie Southard, Gwanseob Shin, Gary A. Mirka

Gary A. Mirka

There are many outdoor work environments that involve the combination of repetitive, fatiguing lifting tasks and less-than-optimal footing (muddy/slippery ground surfaces). The focus of the current research was to evaluate the effects of lifting-induced fatigue of the low back extensors on lifting kinematics and ground reaction forces. Ten participants performed a repetitive lifting task over a period of 8 minutes. As they performed this task, the ground reaction forces and whole body kinematics were captured using a force platform and magnetic motion tracking system, respectively. Fatigue was verified in this experiment by documenting a decrease in the median frequency of …


Modular Neural Network To Predict The Distribution Of Nitrate In Ground Water Using On-Ground Nitrogen Loading And Recharge Data, M. Almasri, Jagath J. Kaluarachchi Jul 2005

Modular Neural Network To Predict The Distribution Of Nitrate In Ground Water Using On-Ground Nitrogen Loading And Recharge Data, M. Almasri, Jagath J. Kaluarachchi

Civil and Environmental Engineering Faculty Publications

Artificial neural networks have proven to be an attractive mathematical tool to represent complex relationships in many branches of hydrology. Due to this attractive feature, neural networks are increasingly being applied in subsurface modeling where intricate physical processes and lack of detailed field data prevail. In this paper, a methodology using modular neural networks (MNN) is proposed to simulate the nitrate concentrations in an agriculture-dominated aquifer. The methodology relies on geographic information system (GIS) tools in the preparation and processing of the MNN input–output data. The basic premise followed in developing the MNN input–output response patterns is to designate the …


Systematic Framework For Evaluating Treated Wastewater Usage In Agricultural Irrigation, Yasser Kamal Nazzal May 2005

Systematic Framework For Evaluating Treated Wastewater Usage In Agricultural Irrigation, Yasser Kamal Nazzal

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

A general systematic framework with several sub-frameworks was developed to help managers make informed decisions related to the reuse of treated wastewater in agricultural irrigation. The framework involves the identification and evaluation of the short- and long-term effects of using treated wastewater with some common constituents of concern (e.g. salts and some specific ions, nutrients, heavy metals, organic compounds, and microorganisms) on the environmental elements (crop, soils, surface water, and groundwater), and on the public health. Local and/ or international standards, criteria, and guidelines related to agricultural reuse are applied to the evaluation of the effects. Based on the evaluation …