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A Sedimentation Study Of The Green River Irrigation Canal, Green River, Utah, Jan Michael Miller May 2006

A Sedimentation Study Of The Green River Irrigation Canal, Green River, Utah, Jan Michael Miller

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This sedimentation study of the Green River irrigation canal provides the Green River Canal Company (GRCC) with a detailed aerial map of the Green River irrigation canal system to allow operators to quickly and accurately locate canal structures. Also, an Excel spreadsheet accounting model was created which provides the GRCC with the ability to determine where sedimentation likely occurs throughout the canal under given conditions. This model must be operated within set guidelines to provide reliable results and should be calibrated for increased accuracy. It was determined that with no irrigation (i.e., with no canal structures open except for the …


A Comparison Of Four-Step Model And Path Flow Estimator For Forecasting Network Flow: A Case Study Of Cache County In Utah, Siddareddy B. Pedaballi May 2006

A Comparison Of Four-Step Model And Path Flow Estimator For Forecasting Network Flow: A Case Study Of Cache County In Utah, Siddareddy B. Pedaballi

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Development of alternative methodologies for travel demand modeling has become important in recent years due to the lack of resources for small and medium communities to adopt conventional four step travel models. Many researchers have proposed alternative tools of travel demand modeling for these communities. But majority of them still require large amount of data and technical sophistication.

In this study, the Path Flow Estimator (PFE) is used to estimate the network traffic of Cache County. PFE estimations are based on the collected traffic counts, vehicle production and attractions of zones estimated using Institute of Transportation Engineers (ITE) trip generation …


Examination Of The Issues And Scientific Evidence For The Identification Process Of Deaf And Hard Of Hearing Individuals With Learning Disabilities To Enhance Academic Outcomes, Scot Ferre May 2006

Examination Of The Issues And Scientific Evidence For The Identification Process Of Deaf And Hard Of Hearing Individuals With Learning Disabilities To Enhance Academic Outcomes, Scot Ferre

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Although the identification of learning disabilities (LD) is a viable means to provide appropriate

instructional and support services for students with academic difficulties, there is a limited

knowledge base about the identification, assessment, and intervention of and for LD in deaf and

hard of hearing (D/HH) students. Given the potential consequences of test results, this review

examined current and recent developments in the field of learning disabilities concerning the

conceptualization of learning disability and the validity and empirical support of earlier

identification methods and various assessment identification options with D/HH students.

Challenges to the process and the need for additional …


Evaluating The Computational Efficiency Of Xfbat And Fbat For Family Based Studies, Yanwei Ouyang May 2006

Evaluating The Computational Efficiency Of Xfbat And Fbat For Family Based Studies, Yanwei Ouyang

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Family-based study designs are often employed when investigating the genetic causes of complex disease. While the transmission disequilibrium test (TDT) and its extensions were developed to use family data for assessing linkage between a known genetic marker and a disease-causing gene, the so-called FBAT approach proposed by Rabinowitz and Laird (2000) effectively subsumes these family-based procedures as special cases. FBAT is fully conditional, but its implementation in the freely available FBAT software package uses a large-sample distributional approximation to compute p-values. The exact distribution for FBAT can be enumerated, but doing so explicitly is computationally intensive, particularly for relatively larger …