Physical Sciences and Mathematics Commons^™

More’S Lake Ccr Pond Closure, Beneficial Use, And Historical Restoration, Brian C. Weis

World of Coal Ash Proceedings

No abstract provided.

Mechanical Activation Significantly Improves The Strength Performance Of Ca-Rich Cfbc Fly Ash Paste, Peeter Paaver, Kalle Kirsimäe, Päärn Paiste, Martin Liira

World of Coal Ash Proceedings

No abstract provided.

To Leach Or Not To Leach: Modeling Compounds Leaching From Saturated Coal Ash To Evaluate Different Closure Scenarios, Tarek Saba, Brian Drollette

World of Coal Ash Proceedings

No abstract provided.

To Cap Or To Excavate, And What Happens Next – An Evaluation Of Ash Basin Closure Alternatives Using Flow And Transport Modeling As A Decision-Making Tool, Rong Yu, Wesley T. Prater

World of Coal Ash Proceedings

No abstract provided.

Alternative Source Demonstration (Asd) In Retrograde Mode, Paul Swenson, Jim Aiken

World of Coal Ash Proceedings

No abstract provided.

Decision Analysis Applied To Ccr Surface Impoundment Closure And Corrective Action, Andrew Bittner

World of Coal Ash Proceedings

No abstract provided.

Innovative Solutions To Challenging Problems: Ccr Dewatering And Stabilization, Eric Dulle

World of Coal Ash Proceedings

No abstract provided.

Panel Discussion- Ccr Management: Looking Back To Prepare For Tomorrow, Mark Rokoff, Tim Hill, Jim Palmer, Gary Zych

World of Coal Ash Proceedings

No abstract provided.

Managing And Visualizing Data For Alternate Source Demonstration Support, Darby Litz, Sarah Holmstrom

World of Coal Ash Proceedings

No abstract provided.

Practical Implications With Case Studies For The Use Of The Usepa Help Model In The Design And Assessment Of Ccr Management Projects, Lee W. Saunders, Neal P. Kochis

World of Coal Ash Proceedings

No abstract provided.

Rapid Coal Ash & Air Entrainment Analysis With Automated Sample Transport, Yongjun Chen, Arun Thamban, Hisham Menkara

World of Coal Ash Proceedings

No abstract provided.

Cost-Effectively Storing Bulk Ccps In Concrete Domes, Zachary J. Fillmore, Michael D. Hunter, Ted Parkinson

World of Coal Ash Proceedings

No abstract provided.

Post-Deconstruction Closure And Site Restoration Of Great River Energy's Stanton Station, Kayla Moden, Ryan Shedivy, Craig Schuettpelz, Shane Stockdill

World of Coal Ash Proceedings

No abstract provided.

From Here To ? - The Evolving Ccr Rule, Christine M. Harris

World of Coal Ash Proceedings

No abstract provided.

Global Opportunities And Challenges For Coal Combustion Products With A Circular Economy, Craig Heidrich, Joachim Feuerborn

World of Coal Ash Proceedings

No abstract provided.

Tva Paradise Slag Ponds – An Innovative Use Of Unconventional Fill Materials, Nicholas S. Golden, Raymon Shane Harris, Sara B. Mathews

World of Coal Ash Proceedings

No abstract provided.

Engineering The Process Of Ccr Impoundment Closure: Successful Preparatory Techniques To Support Heavy Earthwork Construction, Christopher Lewis, Jeffrey Heun, Steven Turner

World of Coal Ash Proceedings

No abstract provided.

Right-Sizing Ccr Landfill Cell Construction And Development, Ryan Hurt, Kevin Resnik

World of Coal Ash Proceedings

No abstract provided.

The Stakeholder-Profile Framework For Tacit Knowledge Acquisition In Requirements Elicitation Interviews, Rasha Eltigani

Master of Science in Software Engineering Theses

The stakeholder’s tacit knowledge is a key crown jewel of requirements elicitation, and in turn software development at large. This critical element holds significant leverage in determining the outcome and the quality of the requirements, and therefore the development endeavor holistically. Due to its very nature of being tacit, it is innately covert and deeply hidden within the stakeholders’ minds, so it is extremely difficult to articulate and relay, as well as even harder to elicit and utilize. Additionally, the literature reports that there is a scarcity of available theorizations and solutions for addressing this challenge, posing a key and …

Building An Integrated Digital Transformation System Framework: A Design Science Research, The Case Of Feduni, Munir Majdalawieh, Shafaq Khan

All Works

The purpose of this paper is to propose an integrated digital transformation system framework (IDTSF) to help support business leaders and teams in making their products, services, and operations more streamlined and competitive. The framework will help organizations to best meet user/customer needs with minimum waste and time and enables businesses to achieve efficiency compared with island and traditional sequential approaches. The proposed framework can also provide insights to help organizations to avoid common failures when deploying digital transformation initiatives. The paper follows the design science research (DSR) and the information systems design science research (ISDSR) methodologies to develop the …

A Systematic Review On Machine Learning Models For Online Learning And Examination Systems, Sanaa Kaddoura, Daniela Elena Popescu, Jude D. Hemanth

All Works

Examinations or assessments play a vital role in every student’s life; they determine their future and career paths. The COVID pandemic has left adverse impacts in all areas, including the academic field. The regularized classroom learning and face-to-face real-time examinations were not feasible to avoid widespread infection and ensure safety. During these desperate times, technological advancements stepped in to aid students in continuing their education without any academic breaks. Machine learning is a key to this digital transformation of schools or colleges from real-time to online mode. Online learning and examination during lockdown were made possible by Machine learning methods. …

Replication Data For "Estimating Methane Emissions From Underground Natural Gas Pipelines Using An Atmospheric Dispersion-Based Method", Shanru Tian, Kathleen M. Smits, Younki Cho, Stuart Riddick, Daniel Zimmerle, Aidan Duggan

Earth & Environmental Sciences Datasets

Methane (CH₄) leakage from natural gas (NG) pipelines poses an environmental, safety, and economic threat to the public. While previous leak detection and quantification studies focus on the aboveground infrastructure, the analysis of underground NG pipeline leak scenarios is scarce. Furthermore, no data from controlled release experiments have been published on the accuracy of methods used to (1) quantify emissions from an area source and (2) use these emissions to quantify the size of a subsurface leak. This proof-of-concept work uses CH₄ mole fraction, as measured by a single gas sensor, as an input to a simple …

Networks Of Necessity: Simulating Covid-19 Mitigation Strategies For Disabled People And Their Caregivers, Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason A. Porter, Michael R. Lindstrom

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Abstract

A major strategy to prevent the spread of COVID-19 is the limiting of in-person contacts. However, limiting contacts is impractical or impossible for the many disabled people who do not live in care facilities but still require caregivers to assist them with activities of daily living. We seek to determine which interventions can best prevent infections of disabled people and their caregivers. To accomplish this, we simulate COVID-19 transmission with a compartmental model that includes susceptible, exposed, asymptomatic, symptomatically ill, hospitalized, and removed/recovered individuals. The networks on which we simulate disease spread incorporate heterogeneity in the risk levels of …

A Novel And Rapid Approach To Evaluate The Effectiveness Of Wastewater And Treatment Byproduct Solidification, Benjamin A. Kienzle, Priscyla Marquez, Tongren Zhu, Maria Juenger

World of Coal Ash Proceedings

No abstract provided.

Addressing Public Fear With Facts—Tva Coal Ash Factsheets Poster Presentation, Melissa Hedgecoth, Lisa Jn Bradley, Neil Carriker, Rock Vitale

World of Coal Ash Proceedings

No abstract provided.

Principal Response Curve Analysis Of Arthropod Community Abundance Data With Sparse Subsets, Changjian Jiang, C. R. Brown, P. Asiimwe, Chen Meng, Adam W. Schapaugh

Conference on Applied Statistics in Agriculture and Natural Resources

Principal response curve (PRC) analysis was applied to an assessment of the ecological impact of the genetically-modified (GM), insect-resistant, cotton MON 88702 on predatory Hemiptera communities in the field. The field community was represented by ten taxa collected ten times across the season at six sites, in which individual taxa were not observed in at least 25% of the time (unique site x collection combinations). These complete absences and those nearly so, called sparse subsets of the data in this investigation, were the result of geoclimatic and seasonal variations, which are both independent of the treatment effect for which the …

Use Of Machine Learning Algorithm To Classify Anomalies In Cover Of Ccr Disposal Site, Hanlei Gu, Wladimiro Villarroel, Benjamin Gallagher, Brian Palmer

World of Coal Ash Proceedings

No abstract provided.

Geochemical Modeling Of Acid Mine Drainage Mitigation Using Stabilized Flue Gas Desulfurization Material, Chin-Min Cheng, Walter N. Powell, Brianna O'Neil-Hankle, John J. Lenhart

World of Coal Ash Proceedings

No abstract provided.

Incineration Ashes – A Possible Substitute To Coal Fly Ashes In Cementitious Environments, Vikram Kumar, Nishant Garg

World of Coal Ash Proceedings

No abstract provided.

Landfill Reclamation: Over 20 Years Of Coal Combustion Product Recycling, Rich Ellman, Joe Malizia, Jim Erdman, Dan Baker

World of Coal Ash Proceedings

No abstract provided.