Physical Sciences and Mathematics Commons^™

An Ore Adit Planning With The Help Of Three Dimensional Ore Body Modeling: A Case Study From Çulfa Çukuru Pb-Zn-Cu-Ag Deposit, Sinan Akiska, Elif Akiska

Bulletin of the Mineral Research and Exploration

Çulfa Çukuru Pb-Zn-Cu-Ag mineralization has occurred along the metamorphic and metamorphic-dacitic volcanic rock contacts of the Sakarya zone on the Biga Peninsula. The base metal mineralization (Pb-Zn-Cu-Ag±Au) developed along the contact and fracture planes of these rocks can be observed as veins, lenses and disseminated ore geometries in the calc-silicate rock assemblages. Base metal mineralizations are mainly controlled lithologically and are generally associated with recrystallized limestones. In this study, the surface and the subsurface were modeled using the topographical data and the geochemical data (%Pb and %Zn) collected from 42 boreholes of Çulfa Çukuru which is located 20 km South-Southeast …

Ncer Assistance Agreement Annual Progress Report For Grant #83582401 - Assessment Of Stormwater Harvesting Via Manage Aquifer Recharge (Mar) To Develop New Water Supplies In The Arid West: The Salt Lake Valley Example, Ryan Dupont, Joan E. Mclean, Richard C. Peralta, Sarah E. Null, Douglas B. Jackson-Smith

Civil and Environmental Engineering Faculty Publications

The goals of the original proposed project remain the same, that is, to test the hypothesis that Managed Aquifer Recharge (MAR) for stormwater harvesting is a technically feasible, socially and environmentally acceptable, economically viable, and legally feasible option for developing new water supplies for arid Western urban ecosystems experiencing increasing population, and climate change pressures on existing water resources. The project is being carried out via three distinct but integrated components that include: 1) Monitoring of existing distributed MAR harvesting schemes involving a growing number of demonstration Green Infrastructure (GI) test sites; 2) Integrated stormwater/vadose zone/groundwater/ ecosystem services modeling; and …

Teaching Differential Equations Without Computer Graphics Solutions Is A Crime, Beverly H. West

CODEE Journal

In the early 1980s computer graphics revolutionized the teaching of ordinary differential equations (ODEs). Yet the movement to teach and learn the qualitative methods that interactive graphics affords seems to have lost momentum. There still exist college courses, even at big universities, being taught without the immense power that computer graphics has brought to differential equations. The vast majority of ODEs that arise in mathematical models are nonlinear, and linearization only approximates solutions sufficiently near an equilibrium. Introductory courses need to include nonlinear DEs. Graphs of phase plane trajectories and time series solutions allow one to see and analyze the …

Monitoring And Evaluating The Influences Of Class V Injection Wells On Urban Karst Hydrology, James Adam Shelley

Masters Theses & Specialist Projects

The response of a karst aquifer to storm events is often faster and more severe than that of a non-karst aquifer. This distinction is often problematic for planners and municipalities, because karst flooding does not typically occur along perennial water courses; thus, traditional flood management strategies are usually ineffective. The City of Bowling Green (CoBG), Kentucky is a representative example of an area plagued by karst flooding. The CoBG, is an urban karst area (UKA), that uses Class V Injection Wells to lessen the severity of flooding. The overall effectiveness, siting, and flooding impact of Injection Wells in UKA’s is …

The Upside Of Down Syndrome: Math Is My Superpower!, Heidi Berger

Journal of Humanistic Mathematics

My son Isaac has Down syndrome. He was born in 2015, within a year of me receiving tenure at Simpson College. The experience of being his mother has had a profound effect on me as a mathematician. Having been with him through eleven surgeries over sixteen hospitalizations, I wanted to learn about his medical complexities and, more generally, about coordinated health care for those with chronic illness. To accomplish these goals, I’ve looked to my teaching and research. In the spring of 2016, I designed a sophomore-level mathematical modeling course on the respiratory system. In the summer of 2016, I …

Modeling Of Flood And Post-Flood Ocean Floor Cooling, William J. Worraker, Richard Ward

Proceedings of the International Conference on Creationism

Given that the earth’s ocean basins are geologically young, few areas being older than early Jurassic, and that most creation scientists regard Jurassic rocks as Flood deposits, these basins must have formed during and since the Flood, i.e. within no more than 4500 years. This paper represents a first attempt at modeling ocean basin formation by the separation of the continents and cooling of mantle material emplaced at spreading centres well within that limited time. We use a spreadsheet-based finite difference solution of the heat diffusion equation applied to a simple widely-used plate model of ocean lithosphere formation. Having verified …

New Methods To Improve Protein Structure Modeling, Maha Abdelrasoul

Computer Science Theses & Dissertations

Proteins are considered the central compound necessary for life, as they play a crucial role in governing several life processes by performing the most essential biological and chemical functions in every living cell. Understanding protein structures and functions will lead to a significant advance in life science and biology. Such knowledge is vital for various fields such as drug development and synthetic biofuels production.

Most proteins have definite shapes that they fold into, which are the most stable state they can adopt. Due to the fact that the protein structure information provides important insight into its functions, many research efforts …

Stormwater Inputs In Urban Streams: Impact And Persistence Of Effects On Stream Temperature, Samuel Harrison Caldwell

Theses - ALL

Stream temperature is an important metric for determining the health of a stream system, and derived from complex interactions between climate, weather, and local landscape characteristics. In urban areas, stream temperature is additionally influenced by impervious surfaces as well as stormwater infrastructure that translates water quickly to stream channels. Disentangling the impacts of spatial and temporal drivers of the stream temperature regime is therefore a complex task. To improve understanding of spatial and temporal variability in stream temperatures, we combined in situ stream temperature loggers with thermal infrared (TIR) imagery collected via unmanned aerial vehicles (UAV) along a 2.25 km …

An Investigation Into The Effects Of Multiple Kernel Combinations On Solutions Spaces In Support Vector Machines, Paul Kelly, Luca Longo

Conference papers

The use of Multiple Kernel Learning (MKL) for Support Vector Machines (SVM) in Machine Learning tasks is a growing field of study. MKL kernels expand on traditional base kernels that are used to improve performance on non-linearly separable datasets. Multiple kernels use combinations of those base kernels to develop novel kernel shapes that allow for more diversity in the generated solution spaces. Customising these kernels to the dataset is still mostly a process of trial and error. Guidelines around what combinations to implement are lacking and usually they requires domain specific knowledge and understanding of the data. Through a brute …

Fm Radio Signal Propagation Evaluation And Creating Statistical Models For Signal Strength Prediction In Differing Topographic Environments, Timothy Land

Electronic Theses and Dissertations

Radio wave signal strength and associated propagation models are rarely analyzed across individual geographic provinces. This study evaluates the effectiveness of the Radio Mobile model to predict radio wave signal strength in the Blue Ridge and Valley and Ridge physiographic provinces. A spectrum analyzer was used on 19 FM transmitters to determine model accuracy. Statistical analysis determined the significance between different terrain factors and signal strength. Field signal strength was found to be related to test site elevation, transmitter azimuth, elevation angle, transmitter elevation, path loss, and distance. Using 76 signal strength receiver sites, Ordinary Least Square regression models predicted …

Applications Of Reservoir Limnology Theory And Steady-State Modeling To Eutrophication Management In Beaver Lake, Arkansas, Matthew Rich

Graduate Theses and Dissertations

Reservoir limnology theory predicts that phytoplankton biomass (PB) is greatest in riverine-transition zones and least in lacustrine zones leading to an inverse pattern in water clarity. These theoretical patterns were utilized to create a statistical model of chlorophyll-a (Chl-a), an indicator of PB, and Secchi transparency (ST), an indicator of Chl-a, in Beaver Lake, Arkansas, a 12,800-ha reservoir, in order to hindcast historical conditions. Sampling for Chl-a, ST, and photic depth occurred semimonthly at 12 locations along a 78-km transect from the river inflow to the dam during the 2015 growing season. The ratio of Chl-a and ST measured at …

Topics In Software Engineering, Lisa Erler

Culminating Projects in Computer Science and Information Technology

Software engineering is a discipline which specifies, designs, develops, and maintains software applications. It applies practices and technologies from computer science. Software engineering is the backbone of software systems and forms the basis of operational design and development of software systems.

Analysts use requirements elicitation techniques to ascertain the needs of customers and users, with the goal being a system that has a high chance of satisfying those needs. Success or failure of system development relies heavily on the quality of requirements gathering.

Software modeling is an essential part of the software development process. Models are built and analyzed before …

Modeling Wind-Induced Waves In The Salish Sea, Zhaoqing Yang, Wei-Cheng Wu, Taiping Wang, Guillaume Mauger, Ruby Leung

Salish Sea Ecosystem Conference

There have been on-going efforts for increasing coastal resilience to the risk of coastal inundation as a result of sea-level rise in Washington. Accurate coastal risk projection depends on detailed and accurate information of sea level rise, including waves and storm surge induced by windstorms. This paper presents a modeling study simulating wind-induced waves in the Salish Sea. A nested-grid modeling approach was used to provide accurate and robust model simulations at various scales. The NOAA NCEP’s WaveWatch III (WW3) model is configured at global and regional scales with wind forcing obtained from the Climate Forecast System Reanalysis (CFSR). For …

An Integrated Environmental And Human Systems Modeling Framework For Puget Sound Restoration Planning, Robert Mckane, Jonathan Halama, Paul Bryce Pettus, Bradley Barnhart, Allen Brookes, Kevin Djang, Tarang Khangaonkar, Isaac Kaplan, Christopher James Harvey, Emily Howe, Phillip S. Levin, Michael W. Schmidt, Raphael Girardin

Salish Sea Ecosystem Conference

Local, state, federal, tribal and private stakeholders have committed significant resources to restoring Puget Sound’s terrestrial-marine ecosystem. Though jurisdictional issues have promoted a fragmented approach to restoration planning, there is growing recognition that a more coordinated systems-based restoration approach is needed to achieve recovery goals. This presentation describes our collaborative effort to develop and apply an integrated environmental and human systems modeling framework for the Puget Sound Basin, inclusive of all marine and land areas (1,020 and 12,680 sq. mi.). Our goal is to establish a whole-basin systems modeling framework that dynamically simulates biophysical interactions and transfers (water, nutrients, contaminants, …

Big Sharks In The Salish Sea: Combining Passive Acoustics With The Salish Sea Model To Predict Sixgill Shark (Hexanchus Griseus) Presence, Alli Cramer, Steve Katz, Kelly Andrews, Daniel H. Thornton

Salish Sea Ecosystem Conference

Examination of species-environment relationships that determine broad-scale distribution patterns is a key focus of ecological research. Characterizing animal-habitat associations in the marine environment is particularly challenging given the opacity of the ocean, and addressing this question in marine systems has consequently lagged behind terrestrial systems. In this project, we have leveraged existing data on locations of a large marine predator, the Sixgill Shark, Hexanchus griseus, and linked that with the PNNL’s Salish Sea Model over the domain of shark movement in Puget Sound, Washington state. Twenty-nine Sixgill sharks were tracked from 2005-2009 across 130 hydrophone receivers with tags that reported …

A Modeling Study Of Storm Surge In The Salish Sea, Zhaoqing Yang, Taiping Wang, Ian Miller

Salish Sea Ecosystem Conference

The Pacific Northwest coasts are subject to the threat of coastal inundation as a result of storm surge. This snapshot presentation provides an overview of a modeling study of storm surge in the Salish Sea using a high resolution coastal hydrodynamic model. A series of historical storm surge events were identified based on non-tidal residual (NTR) water levels observed at Seattle tide gage. Model simulations corresponding to selected storm surge events were conducted. The Salish Sea storm surge model was validated with both observed tidal and NTR data at NOAA tide gauges in the Salish Sea. Sensitivity analysis on the …

Assured Android Execution Environments, Brandon P. Froberg

Theses and Dissertations

Current cybersecurity best practices, techniques, tactics and procedures are insufficient to ensure the protection of Android systems. Software tools leveraging formal methods use mathematical means to assure both a design and implementation for a system and these methods can be used to provide security assurances. The goal of this research is to determine methods of assuring isolation when executing Android software in a contained environment. Specifically, this research demonstrates security properties relevant to Android software containers can be formally captured and validated, and that an implementation can be formally verified to satisfy a corresponding specification. A three-stage methodology called "The …

Essentials Of Structural Equation Modeling, Mustafa Emre Civelek

Zea E-Books Collection

Structural Equation Modeling is a statistical method increasingly used in scientific studies in the fields of Social Sciences. It is currently a preferred analysis method, especially in doctoral dissertations and academic researches. However, since many universities do not include this method in the curriculum of undergraduate and graduate courses, students and scholars try to solve the problems they encounter by using various books and internet resources.

This book aims to guide the researcher who wants to use this method in a way that is free from math expressions. It teaches the steps of a research program using structured equality modeling …

Model Of Optimization Of Technological Regimes Of Oilextraction Production For The Minimum Costs, G. Kh. Abdullayeva

Central Asian Problems of Modern Science and Education

In the stochastic manufacturing process conditions and classification of end products of oil extraction production by intersecting quality areas, manufacturing costs can be reduced by varying the values for the number of modes and their coordinates. 25 Built in the model optimization mode technology is designed to surround the purposes of (current) planning production of oil extraction enterprise products

Models For Decision-Making, Steven Cosares

Open Educational Resources

No abstract provided.

Spatio-Temporal Variability Of Processes Across Antarctic Ice-Bed–Ocean Interfaces, Florence Colloni, Laura De Santis, Christine S. Siddoway, Andrea Bergamasco, Nicholas R. Golledge, Gerrit Lohmann, Sandra Passchier, Martin J. Siegert

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Understanding how the Antarctic ice sheet will respond to global warming relies on knowledge of how it has behaved in the past. The use of numerical models, the only means to quantitatively predict the future, is hindered by limitations to topographic data both now and in the past, and in knowledge of how subsurface oceanic, glaciological and hydrological processes interact. Incorporating the variety and interplay of such processes, operating at multiple spatio-temporal scales, is critical to modeling the Antarctic’s system evolution and requires direct observations in challenging locations. As these processes do not observe disciplinary boundaries neither should our future …

Learning From Disorder And Noise In Physical Biology, Taylor Emil Firman

Electronic Theses and Dissertations

Stochasticity, disorder, and noise play crucial roles in the functioning of many biological systems over many different length scales. On the molecular scale, most proteins are envisioned as pristinely folded structures, but intrinsically disordered proteins (IDPs) have no such folded state and still serve distinct purposes within the cell. At the scale of gene regulation, realistic in vivo conditions produce stochastic fluctuations in gene expression that can lead to advantageous bet-hedging strategies, but can be difficult to characterize using a deterministic framework. Even at the organismal scale, germband extension (GBE) in Drosophila melanogaster embryos systematically elongates the epithelial tissue using …

The Mathematics Of Cancer: Fitting The Gompertz Equation To Tumor Growth, Dyjuan Tatro

Senior Projects Spring 2018

Mathematical models are finding increased use in biology, and partuculary in the field of cancer research. In relation to cancer, systems of differential equations have been proven to model tumor growth for many types of cancer while taking into account one or many features of tumor growth. One feature of tumor growth that models must take into account is that tumors do not grow exponentially. One model that embodies this feature is the Gomperts Model of Cell Growth. By fitting this model to long-term breast cancer study data, this project ascertains gompertzian parameters that can be used to predicts tumor …

A New Semianalytical Method For Analysis Of The Disc-Type Permanent Magnethysteresis Motor In Steady-State Operational Conditions, Ali Behniafar, Ahmad Darabi

Turkish Journal of Electrical Engineering and Computer Sciences

Considering the characteristics of hysteresis and permanent magnet motors, it seems that these two motors are complements of each other. Thus, their combination yields a motor with an excellent performance. In order to preserve the major advantages of both motors in the new motor, a disc-type slotless structure is chosen. This paper presents a new finite-element method for the modeling of disc-type permanent magnet hysteresis synchronous (PMHS) motor. In this modeling method a new iterative algorithm is used. Programming software has been linked to finite- element software because of its limitation in the modeling of hysteresis phenomena. Validity of the …

Theory, Computation, And Modeling Of Cancerous Systems, Sameed Ahmed

Theses and Dissertations

This dissertation focuses on three projects. In Chapter 1, we derive and implement the compact implicit integration factor method for numerically solving partial differential equations. In Chapters 2 and 3, we generalize and analyze a mathematical model for the nonlinear growth kinetics of breast cancer stem cells. And in Chapter 4, we develop a novel mathematical model for the HER2 signaling pathway to understand and predict breast cancer treatment. Due to the high order spatial derivatives and stiff reactions, severe temporal stability constraints on the time step are generally required when developing numerical methods for solving high order partial differential …

Research On Power-Frequency Electromagnetic Interference Model Of Multicore Twisted Signal Cable Of High-Speed Railway, Bowen Zhang, Jiangjian Xie, Zhixin Wang, Jin Yang, Hao Yan

Turkish Journal of Electrical Engineering and Computer Sciences

With the increase in the traction power of high-speed railways, the power-frequency electromagnetic interference of traction current to the signal cables becomes increasingly more severe. In this paper, the calculation model of the magnetic interference to signal cable was established on the MATLAB/Simulink platform based on the multiconductor transmission line theory. This model took SPTYWPL03-8B 8-core twist signal cable as an example and the power-frequency interference of external current to the signal cable was analyzed theoretically. In addition, experiments on electromagnetic interference of double-ended and single-ended signal cables were performed to validate the simulation model. Experiments showed that the relative …

Tropical Cyclone Rapid Intensification In Environments Of Upper-Tropospheric Troughs : Environmental Influences And Convective Characteristics, Michael Fischer

Legacy Theses & Dissertations (2009 - 2024)

Intensity forecasts for tropical cyclones that undergo a period of rapid intensification are particularly susceptible to large errors. For those storms that interact with an upper-tropospheric trough, tropical cyclone intensity forecasts are complicated, as upper-tropospheric troughs can provide unique intensification mechanisms, but are often associated with unfavorable environmental conditions. Although tropical cyclones in environments with nearby upper-tropospheric troughs are associated with lesser intensification rates than tropical cyclones in environments devoid of upper-tropospheric troughs, some tropical cyclone--trough interactions are associated with a period of rapid intensification. This dissertation utilizes reanalysis output, satellite observations, and ensemble modeling simulations to understand whether rapid …

The Effects Of Forecasted Climate Change On Mass Wasting Susceptibility In The Nooksack River Basin, Kevin Knapp

WWU Graduate School Collection

The Nooksack River in Whatcom County, Washington­ is an essential fresh water resource for industry, agriculture, municipalities and serves as vital fish habitat. Like many mountainous watersheds in the western Cascades, the Nooksack Basin is susceptible to shallow mass wasting and debris flows because of its steep slopes, young glaciated terrain, and storms with high intensity precipitation. Understanding how projected reductions in snowpack and increased winter rainfall will affect mass-wasting susceptibility in the Nooksack basin is important, because sediment produced mass wasting will jeopardize valuable aquatic and fish habitat, increase flooding risk in the Nooksack River, and affect estuarine and …

Rlgc(F) Modeling Of A Busbar Distribution System Via Measured S-Parameters Atcenelec And Fcc Bands, Zeynep Hasirci, İsmai̇l Hakki Çavdar, Mehmet Öztürk

Turkish Journal of Electrical Engineering and Computer Sciences

This paper addresses the extraction of accurate frequency-dependent per-unit-length RLGC parameters for busbar distribution systems using measured S-parameters for the CENELEC and FCC bands. A busbar is a distribution system element (three phase, low voltage) with a modular structure that carries electrical energy in buildings. The S-parameters of a busbar distribution system at different current levels (630 A, 1250 A, 2000 A) are measured with a vector network analyzer and then analyzed for three different two-port connections (L1-N, L2-N, L3-N). A frequency- dependent RLGC(f) model is used to characterize the busbar as a transmission line using a derivative-free optimization algorithm. …

Ground Deformation Studies And Evacuation Behavior During Eruptions At Guatemalan Volcanoes, Hans Lechner

Dissertations, Master's Theses and Master's Reports

Volcanic eruptions can be an especially problematic hazard when considering the uncertainty in eruption timing and magnitude coupled with challenges associated with delivering warnings to remote areas and facilitating effective evacuations. The hazards presented by Guatemala’s active volcanoes demand enhanced monitoring capabilities and instrumentation infrastructure. Strengthening the link between the physical and social sciences should lead to more accurate, reliable, and timely hazard information to the people living in proximity to the volcano and facilitate rational decisions and actions that reduce their level of risk. While there is no one single technique that can provide unambiguous diagnostics about the timing, …