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Articles 1381 - 1410 of 31309
Full-Text Articles in Entire DC Network
Investigating The Frictional Properties Of Organic Matter And Pore Structure Of Organic-Rich Shales With Atomic Force Microscopy And Scanning Electron Microscopy, Farnood Sobhbidari
Investigating The Frictional Properties Of Organic Matter And Pore Structure Of Organic-Rich Shales With Atomic Force Microscopy And Scanning Electron Microscopy, Farnood Sobhbidari
Earth & Environmental Sciences Dissertations - Archive
Understanding geomechanical properties of shales, such as stiffness properties and fracture toughness, is important in different areas of petroleum industry-related activities including fracturing efficiency, petroleum flow to the wellbores, and induced seismicity. Nanoscale to microscale experiments on shale samples require a much smaller sample compared to macroscale experiments. This is a major advantage because irregularly-shaped drill cuttings from shales can be used for experimental analyses, such as nanoindentation or atomic force microscopy (AFM). However, a characterization of mechanical properties at the nano- to micro-scale is a relatively new addition to classical geomechanical experiments on shales, and there is still lack …
Approximate Query Processing Using Deep Learning And Database Techniques, Shohedul Hasan
Approximate Query Processing Using Deep Learning And Database Techniques, Shohedul Hasan
Computer Science and Engineering Dissertations - Archive
Data is generated at an unprecedented rate surpassing our ability to analyze them. In real applications, it is often impractical to find an exact answer by traversing the entire data. As a result, Approximate Query Processing (AQP) is getting extremely popular, which finds an approximate answer in a quick time by sacrificing a fraction of accuracy. This dissertation focuses on developing different AQP techniques to solve fundamental database problems using deep learning. Moreover, we build a fast and scalable algorithm for Quantile Regression, a well-known regression technique that can help minimize the uncertainty in the recent deep learning-based AQP solutions, …
Blowing Bubbles (And Seeing Where They Go): A Study Of Partition Spaces And Continuous Functions Between Them, Gabriel Cantanelli
Blowing Bubbles (And Seeing Where They Go): A Study Of Partition Spaces And Continuous Functions Between Them, Gabriel Cantanelli
2022 Fall Honors Capstone Projects - Archive
The field of topology is concerned with the study of “topological spaces,” mathematical objects used to describe space and change at their most fundamental levels. Within this thesis, a study of a class of topological spaces, called partition spaces, is conducted. Four results concerning such spaces are presented, together with formal proofs and illustrative examples. The first result describes the behavior of limits of sequences in partition spaces. The second result characterizes continuous functions between such spaces. From the first and second results, a third finding is derived that relates continuous functions between partition spaces to limits of sequences in …
Perspectives On The Sports Analytics Revolution: An Introduction To The Special Issue, Jun Kim
Perspectives On The Sports Analytics Revolution: An Introduction To The Special Issue, Jun Kim
Journal of Applied Sport Management
The goal of this special issue is to add to the academic literature on analytics by offering a diverse array of perspectives on the use of analytics and technology in sports. Sticking with the overall scope of the Journal of Applied Sport Management, the “think pieces” in this special issue are meant to be grounded in existing scholarship while allowing the invited authors a great deal of originality and flexibility to consider what may be coming next and how we, as sport professionals and scholars, can be prepared to meet the challenges and opportunities that are on the horizon.
Where Analytics Gets It Wrong, Nicholas Watanabe, Johan Rewilak
Where Analytics Gets It Wrong, Nicholas Watanabe, Johan Rewilak
Journal of Applied Sport Management
The authors will discuss the emergence of analytics, and outline with examples, certain problems that plague both academics and practitioners in their approach to using sport analytics.
Sport Isn’T Sacred And Analytics Isn’T New: Challenging Common Notions About Sports Analytics, Grant Morgan, Marshall Magnusen
Sport Isn’T Sacred And Analytics Isn’T New: Challenging Common Notions About Sports Analytics, Grant Morgan, Marshall Magnusen
Journal of Applied Sport Management
The authors add to the debate about whether sport and numbers can cohabitate in modern day athletics, three areas are explored (albeit briefly) in the present paper. The first area focuses on the newness (or lack thereof) of analytics. The second area focuses the objectivity of analytics. The third area focuses on the idea that athletic competition is somehow sacred and should not be soiled by applying various statistical methods to practical sport performance problems.
A Long Time Ago In A Galaxy Far, Far Away: A Candidate Z ~ 12 Galaxy In Early Jwst Ceers Imaging, Steven L. Finkelstein, Micaela B. Bagley, Pablo Arrabal Haro, Mark Dickinson, Henry C. Ferguson, Jeyhan S. Kartaltepe, Casey Papovich, Denis Burgarella, Dale D. Kocevski, Marc Huertas-Company, Kartheik G. Iyer, Anton M. Koekemoer, Rebecca L. Larson, Pablo G. Pérez-González, Caitlin Rose, Sandro Tacchella, Stephen M. Wilkins, Katherine Chworowsky, Aubrey Medrano, Alexa M. Morales, Rachel S. Somerville, L. Y. Aaron Yung, Guillermo Barro
A Long Time Ago In A Galaxy Far, Far Away: A Candidate Z ~ 12 Galaxy In Early Jwst Ceers Imaging, Steven L. Finkelstein, Micaela B. Bagley, Pablo Arrabal Haro, Mark Dickinson, Henry C. Ferguson, Jeyhan S. Kartaltepe, Casey Papovich, Denis Burgarella, Dale D. Kocevski, Marc Huertas-Company, Kartheik G. Iyer, Anton M. Koekemoer, Rebecca L. Larson, Pablo G. Pérez-González, Caitlin Rose, Sandro Tacchella, Stephen M. Wilkins, Katherine Chworowsky, Aubrey Medrano, Alexa M. Morales, Rachel S. Somerville, L. Y. Aaron Yung, Guillermo Barro
Pacific Faculty Work
We report the discovery of a candidate galaxy with a photo-z of z ~ 12 in the first epoch of the James Webb Space Telescope (JWST) Cosmic Evolution Early Release Science Survey. Following conservative selection criteria, we identify a source with a robust zphot = 11.8-0.2+0.3 (1σ uncertainty) with mF200W = 27.3 and ≥7σ detections in five filters. The source is not detected at λ < 1.4 μm in deep imaging from both Hubble Space Telescope (HST) and JWST and has faint ~3σ detections in JWST F150W and HST F160W, which signal a Lyα break near the red edge of both filters, implying z ~ 12. This object (Maisie's Galaxy) exhibits F115W-F200W > 1.9 mag (2σ lower limit) with a blue continuum slope, resulting in 99.6% of the photo-z probability distribution function favoring z > 11. All data-quality images show no artifacts at the candidate's position, and independent analyses …
Nonlinear Observers For Burning Zone Temperatures And Torque Estimation Of The Rotary Cement Kiln., Bhagyashri Aditya Bhagwat
Nonlinear Observers For Burning Zone Temperatures And Torque Estimation Of The Rotary Cement Kiln., Bhagyashri Aditya Bhagwat
Electronic Theses and Dissertations
Due to consistent expansion in the infrastructure and housing sectors worldwide have given a new way for the rapid growth of global cement market. Increased global demand for the cement production makes the attractive research topic which can lead to the quality and overall efficiency of the product. Measurement of the temperature in the burning zone is vital to maintain product quality and kiln efficiency in the cement industry. Often the BZT is un-measurable due to internal kiln conditions, dusty environment, extreme heat, harshness for example and this leads to kiln not being driven as efficient as possible. Multi-physics tools …
Understanding Neuroanatomy In A Virtual 3d Environment: Creation And Use Of A New Survey Tool To Evaluate The Effectiveness Of 3d Software In Neuroanatomy Education For Understanding Superficial And Deep Brain Structures., Akash Khare
Electronic Theses and Dissertations
Studying cross-sections is a critical approach to learning and testing knowledge in neuroanatomy and the role of 3D technologies have been gradually increasing in medical education, especially after the COVID-19 pandemic. A study was conducted in a quasi-experimental one-group pre-post interventional design in an online setting by creating and evaluating the effectiveness of a virtual lab in neuroanatomy for all neuroscience students enrolled in the Fundamentals of Neuroscience course in our department at the University of Louisville. Study modules were created using the 2D resources used in previous years and 3D web applications of Visible Body and AnatomyLearning.com software. A …
Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury
Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury
Electronic Theses and Dissertations
Graphical models determine associations between variables through the notion of conditional independence. Gaussian graphical models are a widely used class of such models, where the relationships are formalized by non-null entries of the precision matrix. However, in high-dimensional cases, covariance estimates are typically unstable. Moreover, it is natural to expect only a few significant associations to be present in many realistic applications. This necessitates the injection of sparsity techniques into the estimation method. Classical frequentist methods, like GLASSO, use penalization techniques for this purpose. Fully Bayesian methods, on the contrary, are slow because they require iteratively sampling over a quadratic …
The Role Of Mri In Diagnosing Autism: A Machine Learning Perspective., Yaser Elnakieb
The Role Of Mri In Diagnosing Autism: A Machine Learning Perspective., Yaser Elnakieb
Electronic Theses and Dissertations
There is approximately 1 in every 44 children in the United States suffers from autism spectrum disorder (ASD), a disorder characterized by social and behavioral impairments. Communication difficulties, interpersonal difficulties, and behavioral difficulties are the top common symptoms. Even though symptoms can begin as early as infancy, it may take multiple visits to a pediatric specialist before an accurate diagnosis can be made. In addition, the diagnosis can be subjective, and different specialists may give different scores. There is a growing body of research suggesting differences in brain development and/or environmental and/or genetic factors contribute to autism development, but scientists …
A New Direction For Public Understanding Of Science: Toward A Participant-Centered Model Of Science Engagement., Christopher Rickels
A New Direction For Public Understanding Of Science: Toward A Participant-Centered Model Of Science Engagement., Christopher Rickels
Electronic Theses and Dissertations
Engaging the public with science is not an easy task. When presented, scientific findings, public health recommendations, and other scientific information filter through the personal values, beliefs, and biases of members of the public. Science communicators must contend with these differences in order to be effective in cultivating a public understanding of science. Given the importance of scientific understanding for living well in a complex world, increasing science understanding through science engagement is imperative. The field of public engagement with science is dichotomized by a public information deficit approach and a contextualist approach. The deficit approach prizes the factual content …
Teachers' Perceptions Of Professional Development And Pedagogical Practice: A Study Of A Kentucky Suburban School District., Rachelle Bramlage-Schomburg
Teachers' Perceptions Of Professional Development And Pedagogical Practice: A Study Of A Kentucky Suburban School District., Rachelle Bramlage-Schomburg
Electronic Theses and Dissertations
Professional development supports teacher growth and enhances pedagogical practice. Teachers in Kentucky must complete annual professional development hours and districts must develop a professional development plan tied to research that supports high-quality professional development. This qualitative case study takes place in a rural district, Bullitt County, where I investigated the teachers’ perception of a customized professional development, Thinking Focus Cohort (TFC), and its impact on their pedagogical practice. While a body of research exists on high quality professional development, there is a lack of research on the effectiveness of it, in particular a year-long cohort model with curriculum centered around …
Alpha, Beta-Unsaturated Aldehydes: The Underrepresented Markers Of Disease., Saurin Sutaria
Alpha, Beta-Unsaturated Aldehydes: The Underrepresented Markers Of Disease., Saurin Sutaria
Electronic Theses and Dissertations
The peroxidation of unsaturated fatty acids is a widely recognized metabolic process that creates a complex mixture of volatile organic compounds including aldehydes. Elevated levels of reactive oxygen species in cancer cells promote random lipid peroxidation, which leads to an increase in a variety of aldehydes. Many of these volatile aldehydes are exhaled and are of interest as potential markers of disease. Chapter 1 presents a review of reported aldehydes in the exhaled breath of lung cancer patients. alpha,beta-Unsaturated aldehydes, detected primarily when derivatized during exhaled breath preconcentration, are underreported in the reviewed articles. Chapter 1 concludes with our hypothesis …
Diy Cell Incubator, Hayden James Jeanor
Diy Cell Incubator, Hayden James Jeanor
Electrical Engineering
The purpose of creating a cell Incubator is for the development of cell and tissue production in laboratory settings. Large scale research projects and the medical community grow cells for various reasons, including experiments and creating tissue for patients. However, they cannot simply depend on growing cells in a petri dish that sit on a rack at room temperature. To grow heathy cells in the fastest way possible, they use cell incubators. Cell incubators create an atmosphere within the incubation bay that is designed to promote cell growth. The three main components that need to be constantly regulated, using a …
Systematic Review Of A Ramsar Wetland And Unesco Biosphere Reserve In A Climate Change Hotspot (Ichkeul Lake, Tunisia), Sabrine Sahbani, Béchir Béjaoui, Sihem Benabdalla, Rachid Toujani, Afef Fathalli, Noureddine Zaaboub, Jalel Aouissi, Zeineb Kassouk, Nabil Hamdi, Nabiha Ben Mbarek, Hechmi Missaoui, Leila Basti, Reginald Blake, Hamidreza Norouzi
Systematic Review Of A Ramsar Wetland And Unesco Biosphere Reserve In A Climate Change Hotspot (Ichkeul Lake, Tunisia), Sabrine Sahbani, Béchir Béjaoui, Sihem Benabdalla, Rachid Toujani, Afef Fathalli, Noureddine Zaaboub, Jalel Aouissi, Zeineb Kassouk, Nabil Hamdi, Nabiha Ben Mbarek, Hechmi Missaoui, Leila Basti, Reginald Blake, Hamidreza Norouzi
Publications and Research
Tunisia's Ichkeul Lake is among the most productive ecosystems in the Mediterranean, with a great regional value thanks to its diversity of habitats. It is an important overwintering area for waterfowl species. It is a RAMSAR wetland, a National Park, a UNESCO World Heritage, and a Biosphere Reserve. This review paper provides a broad overview of the climatic, hydraulic, biogeochemical features, bio-resources, and bio-productivity of the Lake. The interconnectivity between the different environmental components of the lake is presented, highlighting the main characteristics of this vital ecosystem. Its ecosystem consists of a permanent lake bordered by temporary marshes. It is …
Enhancing Motor Imagery Decoding Via Transfer Learning, Olawunmi George, Sarthak Dabas, Abdur Sikder, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed
Enhancing Motor Imagery Decoding Via Transfer Learning, Olawunmi George, Sarthak Dabas, Abdur Sikder, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed
Computer Science Faculty Research and Publications
Motor imagery (MI) is arguably one of the most common brain–computer interface (BCI) paradigms. The decoding process, in many cases, involves the use of small amounts of data gathered over a period. The decoding performance might therefore be limited, due to the size of available data. Also, the non-stationarity of signals across sessions and subjects can pose a challenge to effective decoding. To solve these challenges, transfer learning is proposed as the suitable approach, which could yield optimal performance even with small amounts of data and handle the non-stationarity of signals with adaptation. It has been applied across domains and …
Why Energy Efficiency Is Needed In Rwanda, Jean Ishinzibigwi
Why Energy Efficiency Is Needed In Rwanda, Jean Ishinzibigwi
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
Perspective on the benefits of energy efficiency and cost savings on energy was changed by the experience of working with the Nebraska Industrial Assessment Center. Visiting various industrial locations in Nebraska to see how different energy-saving techniques are employed to save money on energy costs and reduce energy waste. Rwanda can put several ideas into action to lessen the energy loss, which is too much now.
The government's Ministry of Infrastructure (MININFRA) and other departments are crucial to Rwanda's energy sector. The primary ministry in charge of developing renewable energy is MININFRA (methane, peat, geothermal, solar and wind energy). The …
Stop Methane Emissions, Jacob Anderson
Stop Methane Emissions, Jacob Anderson
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
We all know of the worldly issue called global warming. A huge cause of global warming is the emission and buildup of greenhouse gasses in the atmosphere. Carbon dioxide is the leading contributor to global emissions at 74.4% and methane is second at 17.3% (Our World in Data 2019). On August 16, 2022, President Biden signed the Inflation Reduction Act of 2022
which includes a charge that starts in 2024 at $900 per metric ton of methane emitted and will raise to $1500 by 2028 (CRS). This should introduce an incentive for facilities to update their plant, machinery, and equipment …
Bridgeport Poised To Be Site Of Nebraska’S Next Environmental Catastrophe, Kjersten Hyberger
Bridgeport Poised To Be Site Of Nebraska’S Next Environmental Catastrophe, Kjersten Hyberger
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
Bridgeport Ethanol LLC is Nebraska’s first ethanol plant to be under contract for Carbon Capture and Sequestration (CCS) in the state. Despite ongoing safety concerns by federal regulators and organized opposition from affected landowners, Carbon America is pushing forward with their plans to have the Bridgeport CCS facility operational by 2024. At a time when Nebraska has barely begun cleanup of the AltEn disaster in Mead, and the agrochemical contamination levels in our soil and groundwater are at historic levels, we cannot carelessly add one more pollutant to the mix.
In May of this year the Legislature passed the Nebraska …
Puerto Rico Left In The Dark, Again, Eulices Garcia
Puerto Rico Left In The Dark, Again, Eulices Garcia
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
Puerto Rico, the United States third largest island, often gets overlooked when hurricane season comes and goes. Where most of the attention goes to the Florida peninsula or East coast, Puerto Rico is still one of America’s closest territories. As part of America’s extended family, Puerto Rico should not be overlooked when natural disasters occur. When these disasters happen, they can have a tremendous impact on the island itself and the people in it. One major concern that has not been truly fixed yet is the energy crisis in Puerto Rico. Whenever storms hit, there is always a possibility of …
Carbon Capture Is Not Climate Action, Bella Devney
Carbon Capture Is Not Climate Action, Bella Devney
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
A new technology is being brought to Western Nebraska in the form of Carbon Capture and Storage in the name of climate action, but the health of Nebraska’s environment and people are being ignored. Bridgeport Ethanol Plant announced this fall that they plan to begin building technology that will capture and store “175,000 tons/yr” which is a small percentage of the 4,577 million tons emitted by the US in 2020.
Carbon can be captured from the atmosphere itself or in the Ethanol Plant’s case from the point of the CO2 production. After carbon is captured from the plant’s smokestack, it …
Nuclear Energy, Evan Detina
Nuclear Energy, Evan Detina
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
The use of nuclear power as a primary energy source is a controversial discussion. However, if reversing or stopping the effects of climate change is our main goal, then this is a top contender. Fossil fuels account for 34 billion tons of emissions annually according to Ritchie, Hannah, et al. (2020). Instead, we can create energy through nuclear fission. I believe nuclear energy should become a much larger player in the energy game.
The first practical use of nuclear power became apparent on December 2, 1942 when a physicist, Enrico Fermi, develOp-ed a self-sustaining nuclear fission reaction at the University …
Big Blue Wind Project: Why Solar May Be A Better Solution For Nebraska's Energy Future Than Wind, Page Nippert
Big Blue Wind Project: Why Solar May Be A Better Solution For Nebraska's Energy Future Than Wind, Page Nippert
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
With nonrenewable resources such as coal and oil causing greenhouse gas emissions, a shift to renewable resources is needed not only to reduce CO2 emissions, but also to allow energy independence. The switch to renewable resources is vital, and in Nebraska, these resources are being introduced commonly as solar and wind farms depending on the area.
NextEra Energy is proposing The Big Blue Wind project in Jefferson County. I’m opposing this project for reasons similar to why it’s being proposed – for the environment and the community.
The project aims to benefit the community economically by creating jobs, county …
New Natural Gas Pipeline Benefits Europe And Africa, Victor Moreno Lozano
New Natural Gas Pipeline Benefits Europe And Africa, Victor Moreno Lozano
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
European countries have agreed to start filling up their natural gas gap, with the new natural gas pipeline from Africa. Nigeria and Morocco agreed to develop this pipeline in 2016, but after the beginning of the Ukraine-Russia war, things have speeded up.
After the economical punishments Europe imposed on Russia, Russia decided to increase the price of the natural gas exported to Europe and decrease the amount of gas. Most European countries have a big dependency on Russia's natural gas, countries like Germany import 50% of their natural gas from Russia.
Since winter is coming up, European countries are dealing …
Are Electric Cars A Solution In Rwanda?, Elysee Ndayishimiye
Are Electric Cars A Solution In Rwanda?, Elysee Ndayishimiye
Op-Eds from ENSC230 Energy and the Environment: Economics and Policies
Numerous studies have been conducted that demonstrate how environmentally friendly electric vehicles are. They produce fewer greenhouse gases, which makes them an effective way to reduce both air pollution and greenhouse emissions. In order to combat rising air pollution and support a green city initiative, Rwanda considered introducing more electric vehicles. The Global Electric Mobility Program, run by the United Nations Environment Program (UNEP), aims to assist low- and middle-income nations in switching from conventional (gas) to electric vehicles. Rwanda has joined this program. Due to the high cost of switching to electric vehicles in poor nations like Rwanda and …
Koopman Operator Theory And The Applied Perspective Of Modern Data-Driven Systems, Alex Krolicki
Koopman Operator Theory And The Applied Perspective Of Modern Data-Driven Systems, Alex Krolicki
All Theses
Recent theoretical developments in dynamical systems and machine learning have allowed researchers to re-evaluate how dynamical systems are modeled and controlled. In this thesis, Koopman operator theory is used to model dynamical systems and obtain optimal control solutions for nonlinear systems using sampled system data. The Koopman operator is obtained using data generated from a real physical system or from an analytical model which describes the physical system under nominal conditions. One of the critical advantages of the Koopman operator is that the response of the nonlinear system can be obtained from an equivalent infinite dimensional linear system. This is …
Performance Based Design And Machine Learning In Structural Fire Engineering: A Case For Masonry, Deanna Craig
Performance Based Design And Machine Learning In Structural Fire Engineering: A Case For Masonry, Deanna Craig
All Theses
The volatile and extreme nature of fire makes structural fire engineering unique in that the load actions dictating design are intense but not geographically or seasonally bound. Simply, fire can break out anywhere, at any time, and for any number of reasons. Despite the apparent need, fire design of structures still relies on expensive fire tests, complex finite element simulations, and outdated procedures with little room for innovation. This thesis will make a case for adopting the principles of performance-based design and machine learning in structural fire engineering to simplify the process and promote the consideration of fire in all …
Learning To Reason About Code With Assertions: An Exploration With Two Student Populations, Sarah Blankenship
Learning To Reason About Code With Assertions: An Exploration With Two Student Populations, Sarah Blankenship
All Theses
Code tracing is fundamental to students’ understanding of a program, and symbolic reasoning that entails learning to use assertions with abstract input and output values, as opposed to concrete values, enhances that understanding. Symbolic reasoning teaches students valuable abstraction and logic skills that will serve them well in all aspects of programming and their software
development careers.
We use lessons integrated into an online educational tool to supplement classroom instruction to help students learn symbolic reasoning. We explore two ways for students to learn about assertions: Writing assertions to capture the behavior of given code and solving Parsons-style problems in …
Implementing Oer At Laguardia Community College: Three Case Studies, Ian Mcdermott, Joshua P. Tan, Alioune Khoule, Marta Kowalczyk, Emma Handte, Rena D. Grossman
Implementing Oer At Laguardia Community College: Three Case Studies, Ian Mcdermott, Joshua P. Tan, Alioune Khoule, Marta Kowalczyk, Emma Handte, Rena D. Grossman
Publications and Research
LaGuardia Community College, City University of New York (CUNY) began receiving funds from a New York State Open Educational Resources (OER) grant in 2017. Since then, several departments have made significant strides in the implementation of OER. We offer three case studies of putting OER into practice, in math, astronomy, and chemistry. Each case study presents the context for OER conversion, the steps taken, early results from OER implementation, and the main takeaways. A common feature across courses and departments is a process-oriented implementation of OER, namely, one that is constantly improving and moving towards the goal of openness and …