Browsing by Title
Now showing items 102871-102890 of 121314
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(2012-07-16)The transportation infrastructure systems in the United States were built between the 50's and 80's, with 20 years design life. As most of them already exceeded their original life expectancy, state transportation agencies ...
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(Texas A&M University. Libraries, 1983)The stochastic model of the allosterically regulated enzyme aspartate transcarbamylase uses a Markov process to describe the rate of reaction of substrate binding given various concentration levels. The enzymatic process ...
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(Texas A&M University, 2005-02-17)Theoretical modeling of biological response to radiation describes qualitatively and quantitatively the results of radiobiological effects at the molecular, chromosomal, and cellular level. The repair-misrepair (RMR) model ...
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(Texas Water Resources Institute, 1989-12)A stochastic simulation methodology was developed for the rainfall-runoff process to assist in the assessment of nonpoint source pollutant loads, particularly for ungauged watersheds where there is a scarcity or complete ...
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(2009-05-15)The mechanical and transport properties of porous and cracked media, such as velocity and permeability, are sensitive to the effects of effective pressure, which itself is a function of the confining pressure and the ...
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(Texas A&M University, 2006-08-16)Hydraulic conductivity fields (K) and degradation rate constants (a) are commonly used in predicting the fate and transport of reactive contaminants. The natural heterogeneity in aquifer porous materials and its effect on ...
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(Texas Water Resources Institute, 1973-06)A hydrometeorological model is presented that utilizes 30-day meteorological forecasts of temperature and precipitation issued every 15 days by the National Weather service to provide an estimate of the future hydrometeorological ...
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(Texas A&M University, 1990)Not available
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(Texas A&M University. Libraries, 1978)A review of the literature related to hospital utilization as well as the Texas Certificate of Need (CON) process revealed no comprehensive, consistent method for reviewing CON applications. To overcome this deficiency in ...
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(Texas A&M University. Libraries, 1970)One of the major goals of water resource planning today is the development of a stochastic model for water resource system design. This study lays the groundwork for the development of such a procedure. An optimal planning ...
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Stochastic Programming Approach to Hydraulic Fracture Design for the Lower Tertiary Gulf of Mexico (2013-07-27)In this work, we present methodologies for optimization of hydraulic fracturing design under uncertainty specifically with reference to the thick and anisotropic reservoirs in the Lower Tertiary Gulf of Mexico. In this ...
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(2013-05-21)The release of flammable and toxic chemicals in petrochemical facilities is a major concern when designing modern process safety systems. While the proper selection of the necessary types of gas detectors needed is important, ...
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(2014-04-28)Due to the increased number and intensity of wild fires, the need for solutions that minimize the impact of fire are needed. Fuel treatment is one of the methods used to mitigate the effects of fire at a certain area. ...
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(Forests, 2015)
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Stochastic Programming Models: Community Health Pathways Scheduling and Optimal Vaccine Allocation (2022-02-25)The World Health Organization (WHO) designated the novel COrona VIrus (COVID-19) a global pandemic. This pandemic combined with the growing and aging population has created a crisis of unprecedented dimension regarding ...
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(United States. Patent and Trademark Office; Texas A&M University. Libraries, 2013-03-26)A system and method for stochastic sensing in which the analyte covalently bonds to the sensor element or an adaptor element. If such bonding is irreversible, the bond may be broken by a chemical reagent. The sensor element ...
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(2013-04-30)One major acknowledged challenge in daily precipitation is the inability to model extreme events in the spectrum of events. These extreme events are rare but may cause large losses. How to realistically simulate extreme ...
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(Texas A&M University, 1991)Not available
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(Private Enterprise Research Center, Texas A&M University; Texas A&M University. Library, 2021-05-06)This paper introduces a definition of stochastic superiority. One random variable is stochastically superior to another whenever it stochastically dominates the other after the risk in each random variable has been optimally ...
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(Texas A&M University, 1967)Not available