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Articles 6721 - 6750 of 7891
Full-Text Articles in Physical Sciences and Mathematics
Road Extraction On Remote Sensing Imagery: Historical Mapping Of The Brazilian Amazon, Jonas Paiva Botelho Jr
Road Extraction On Remote Sensing Imagery: Historical Mapping Of The Brazilian Amazon, Jonas Paiva Botelho Jr
MSU Graduate Theses
This work proposes an artificial intelligence model based on U-Net architecture to map road networks in the Brazilian Amazon. Over the years, the Amazon region has been heavily exploited, leading to increased deforestation rates, contributing to CO2 emissions, amplifying global warming, and causing a disturbance in local fauna and flora. The expansion into the forest by illegal miners, loggers, and land grabbers can be tracked down by the construction of roads, which we can refer to as the arteries of deforestation. Previous works on the matter proposed algorithms that use high-resolution imagery to map roads precisely. However, this work approach …
Environmental War, Climate Security, And The Russia-Ukraine Crisis, Mark P. Nevitt
Environmental War, Climate Security, And The Russia-Ukraine Crisis, Mark P. Nevitt
Faculty Articles
This Article addresses the Russia-Ukraine conflict’s broad implications for energy security, climate security, and environment protections during wartime. I assert that in the short-term the Russian-Ukraine war is poised to hinder much-needed international climate progress. It will stymie international decarbonization efforts and cause greater uncertainty in other climate-destabilized parts of the world, such as the Arctic. While Russia has become a pariah in the eyes of the United States and other Western nations, it has forged new partnerships and capitalized on new, lucrative energy markets outside the West and Global South. But in the long term, the global renewable energy …
Backgrounds Study And Ai-Powered Waveform Processing For Legend Experiment, Laxman Paudel
Backgrounds Study And Ai-Powered Waveform Processing For Legend Experiment, Laxman Paudel
Dissertations and Theses
Neutrinoless Double-Beta Decay (0$\nu \beta \beta $) is a presumed rare nuclear decay process and is considered the most promising way to prove the Majorana nature of neutrinos, that is, neutrinos are their own antiparticles. The discovery of \zero decay would also enhance our understanding of nuclear physics, astrophysical observations, and physical processes in the early Universe. The Large Enriched Germanium Experiment for Neutrinoless Double-Beta Decay (LEGEND) is a phased $^{\mathrm{76}}$Ge-based 0$\nu \beta \beta $ decay experimental program, aiming for the discovery potential of a half-life of 0$\nu \beta \beta $ beyond 10$^{\mathrm{28}}$ years. The first phase, LEGEND-200, comprises 200 …
High-Altitude Adaptation Is Accompanied By Strong Signatures Of Purifying Selection In The Mitochondrial Genomes Of Three Andean Waterfowl, A. M. Graham, P. Lavretsky, R. E. Wilson, K. G. Mccracken
High-Altitude Adaptation Is Accompanied By Strong Signatures Of Purifying Selection In The Mitochondrial Genomes Of Three Andean Waterfowl, A. M. Graham, P. Lavretsky, R. E. Wilson, K. G. Mccracken
School of Natural Resources: Faculty Publications
No abstract provided.
Efficient High-Resolution Time Series Classification Via Attention Kronecker Decomposition, Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas
Efficient High-Resolution Time Series Classification Via Attention Kronecker Decomposition, Aosong Feng, Jialin Chen, Juan Garza, Brooklyn Berry, Francisco Salazar, Yifeng Gao, Rex Ying, Leandros Tassiulas
Computer Science Faculty Publications and Presentations
The high-resolution time series classification problem is essential due to the increasing availability of detailed temporal data in various domains. To tackle this challenge effectively, it is imperative that the state-of-theart attention model is scalable to accommodate the growing sequence lengths typically encountered in highresolution time series data, while also demonstrating robustness in handling the inherent noise prevalent in such datasets. To address this, we propose to hierarchically encode the long time series into multiple levels based on the interaction ranges. By capturing relationships at different levels, we can build more robust, expressive, and efficient models that are capable of …
Electrochromic Polymers: From Electrodeposition To Hybrid Solid Devices, Haradou Sare, Dongmei Dong
Electrochromic Polymers: From Electrodeposition To Hybrid Solid Devices, Haradou Sare, Dongmei Dong
College of Science & Mathematics Departmental Research
This paper reports on the linear colorimetric and electrochromic (EC) characteristics of electrodeposited polyaniline (PANI) films. This paper also investigates the infrared EC properties of acid-doped PANI films. The electrochemical polymerization method was employed to create a porous and thin PANI film layer onto PET-ITO substrates. This layer was capped with WO3 film to create a gel electrolyte sandwich structure that demonstrates the compatibility of PANI films with cathodic WO3 films in full devices. The electrodeposition of the film was fabricated by applying different voltages and time, with the optimal film quality achieved with the 1.7 V voltage and a …
Subsurface Mapping Of Intra-Arbuckle Shale In North-West Kansas Using Well Log Data, Cole M. Denny
Subsurface Mapping Of Intra-Arbuckle Shale In North-West Kansas Using Well Log Data, Cole M. Denny
Master's Theses
The aim of this research was to enhance knowledge of Intra-Arbuckle Shale (IAS) distribution and structure through new maps, cross sections, and well log correlations. Understanding the shale(s) ultimately advances the discernment of complex Arbuckle reservoirs that are critical to the Kansas petroleum industry. IAS has been intercepted by oil wells throughout Kansas, but this study focuses on their presence in portions of Ellis, Rooks, Graham, and Trego counties. To study the distribution and structure of IAS, data from micro-resistivity and gamma ray well logs were collected from more than three hundred Arbuckle oil and gas wells. On each well …
An Enhanced Deep Autoencoder For Flight Delay Prediction, Desmond B. Bisandu Phd, Dan Andrei Soviani-Sitoiu Msc, Irene Moulitsas Phd
An Enhanced Deep Autoencoder For Flight Delay Prediction, Desmond B. Bisandu Phd, Dan Andrei Soviani-Sitoiu Msc, Irene Moulitsas Phd
Journal of Aviation/Aerospace Education & Research
Accurate and timely flight delay prediction cannot be overemphasized because of the ever-increasing demand for air travel and its importance in deploying intelligent transportation systems. Nonetheless, there has not been a universal solution to the problem, as more intelligent flight decision systems are required for the aviation industry's future growth. Existing flight delay classification and prediction approaches are mainly shallow traffic models and do not satisfy many applications in the real world. Our motivation to rethink the deep architecture model for predicting flight delays emanates from the problem. In this research, we proposed a technique that modified stacked autoencoder architecture …
Use Of Artificial Intelligence In Drug Development, Louise C. Druedahl, Nicholson Price, Timo Minssen, Dipl Jur, Ameet Sarpatwari
Use Of Artificial Intelligence In Drug Development, Louise C. Druedahl, Nicholson Price, Timo Minssen, Dipl Jur, Ameet Sarpatwari
Articles
Considerable focus has been placed on the health care applications of artificial intelligence (AI). Already, machine learning, a subset of AI that involves “the use of data and algorithms to imitate the way that humans learn” has been used to predict diseases, while AI-powered smartphone apps have been developed to promote mental health and weight loss. Owing in part to such successes, the market for AI in health care has been forecasted to increase more than 1000% between 2022 and 2029, from $13.8 billion to $164.1 billion. One area of substantial promise is drug development, which is poised to benefit …
Can Multi-Species Plantings Alleviate Abiotic Stressors To Enhance Bald Cypress Restoration, Victoria S. Ellis, Taylor M. Sloey
Can Multi-Species Plantings Alleviate Abiotic Stressors To Enhance Bald Cypress Restoration, Victoria S. Ellis, Taylor M. Sloey
Biological Sciences Faculty Publications
Restoration researchers and practitioners alike advocate for novel restoration approaches, informed by ecological theories and principles, to enhance the likelihood of meeting restoration goals. Forested wetland restoration has historically focused on creating abiotic conditions that support the tolerance thresholds of desired species, but the stress gradient hypothesis provides guidance for potential new strategies that use biotic interactions to ameliorate stressful abiotic conditions. In this study, we tested whether multi-species planting approaches can be used to enhance the survival and growth of a target restoration tree species, Bald cypress, along multiple abiotic gradients. We conducted a fully factorial controlled greenhouse experiment …
Examining The Relationship Between Students’ Home Environment And Math Test Scores, Autumn Michlig
Examining The Relationship Between Students’ Home Environment And Math Test Scores, Autumn Michlig
Master of Science in Mathematics
This research study examined the relationship between a student’s home environment and their STAR math score by investigating 9 home environment variables. It also examines the best model to predict STAR score from the 9 home environment variables while controlling for the covariate, prior STAR score. The results being that including the covariate in the 9 predictor model was a statistically significant improvement over not including the covariate. However, the best model to predict STAR score was a model that only included the covariate and one variable, number of people living in house(s). Furthermore, when investigating the 9 variables, it …
An Expository Analysis Of The Theorem: Every Integer Greater Than Two Is The Sum Of A Prime And A Square-Free Number, Kurt Mckenzie
An Expository Analysis Of The Theorem: Every Integer Greater Than Two Is The Sum Of A Prime And A Square-Free Number, Kurt Mckenzie
Master of Science in Mathematics
The thesis focuses on a relatively recent theorem (2017) contributed by Adrian Dudek to the field of Number Theory. It states that every integer greater than two can be represented as a sum of a prime and a square-free number. This result immediately attracts attention since it bears similarities with the famous and not yet proved Goldbach’s Conjecture, namely that every even number larger than two can be represented as a sum of two primes. The expository analysis aims to understand the theorem in the general setting of the Additive Number Theory, the method of proof and previous results on …
An Exploratory Study: Determining Significant Predictors Of Academic Success On The Ohio State End Of Course Assessment In Algebra 1 For Students With Learning Disabilities And Students Identified As Gifted, Nicholas Sesonsky, Jonathan Mccullough
An Exploratory Study: Determining Significant Predictors Of Academic Success On The Ohio State End Of Course Assessment In Algebra 1 For Students With Learning Disabilities And Students Identified As Gifted, Nicholas Sesonsky, Jonathan Mccullough
Master of Science in Mathematics
Since the COVID-19 pandemic, hybrid and online instruction have become more prominent formats in the educational system. This study aimed to focus specifically on students with learning disabilities and students who are identified as gifted. Based on these two subpopulations and prior literature, instructional method, class size, attendance rate, and prior academic performance were selected as potential impactful measures of students' academic success. Academic success for this study was based on the Algebra 1 Ohio State End of Course Assessment while prior academic performance was based on the Seventh-Grade Ohio State End of Course Assessment, and Ohio’s School Report Card …
"The Effect Of Students’ Place Of Residence, Length Of Time In A District, Race, And Ses On Academic And Behavioral Success", Andrew King
Master of Science in Mathematics
This study intended to determine if place of residence, length of time in a district, race, and socioeconomic status were statistically significant predictors of academic success and disciplinary issues. The study took place in the Mississinawa Valley School District, a small district in western Ohio consisting of a mix of students from both rural and urban/suburban areas. Existing literature on districts comprising rural and urban portions was missing, allowing this study to fill a gap in research. A sample of 2,002 students from the school from 2008 to 2023 was analyzed to answer two primary research questions. Three separate multiple …
Are Prior Academic Achievement, Attendance, Athletic Participation, And Demographics Significant Predictors On Iowa State Assessment Performance?, David Jabs
Master of Science in Mathematics
This research study examined if prior academic achievement, attendance, athletic participation and demographics were significant factors of IOWA State Assessment scores. The findings indicated that there were three significant factors. The three factors that were significant were prior IOWA State Assessment Scores, the number of tardies and the current GPA. This research study took place at a small private school in Cleveland Heights, OH. The analysis was completed by three different approaches. The first was a multiple regression analysis which determined the three factors already mentioned. A correlation study and an independent sample t-test were also performed. This research is …
Does Grade Level Acceleration In Math Increase Act Testing Performance When Controlling For Other Factors In One School System?, Stephen Hubek
Does Grade Level Acceleration In Math Increase Act Testing Performance When Controlling For Other Factors In One School System?, Stephen Hubek
Master of Science in Mathematics
School districts across the country are currently in the debate on how to properly accelerate students in math. In the Pleasant Local School District students in this study were accelerated through the method of grade level acceleration starting in their 6th grade year in math. This acceleration involves skipping grade levels in math based on a student’s abilities in math and classroom performance. Accelerated students in Pleasant Local Schools complete Algebra 2 via the high school curriculum and then move to CCP courses to complete through Calculus if they choose. The purpose of this study is to answer the question: …
The Effects Of Tree Cover And Urban Greenspace On Covid-19 Severity In Seattle, Wa, Kristin Harpster
The Effects Of Tree Cover And Urban Greenspace On Covid-19 Severity In Seattle, Wa, Kristin Harpster
Master of Science in Mathematics
This thesis explores the relationship between urban greenspace and forestry and COVID-19 severity in Seattle, Washington. Urban greenspace and forestry has been shown to play an important role in reducing air pollution, which can exacerbate COVID-19 severity. Community demographics have been shown to affect the greenspace-health relationship, therefore demographic information was included in the study. Four logistic models were created to examine the relationship between urban greenspace and forestry and COVID-19 severity. Two models examined the relationship between greenspace and COVID-19 hospitalizations and mortality respectively. A further two models included community demographics as predictor variables. The findings indicated that tree …
Effectiveness Of Corequisite Remediation: A Study On Introductory Statistics And College Algebra, Sydney Crawford, Sarah Grimm
Effectiveness Of Corequisite Remediation: A Study On Introductory Statistics And College Algebra, Sydney Crawford, Sarah Grimm
Master of Science in Mathematics
The purpose of this study is to evaluate the effectiveness of remediation in Introduction to Statistics and College Algebra at Shawnee State University (SSU). Focusing on students with an ACT score ranging from 15-17, this study examines the effectiveness of corequisite courses to see if these courses improve student success rates compared to prerequisite courses. The background of this study is rooted by the ongoing effort of colleges and universities to enhance student success by implementing different instructional strategies, such as corequisite remediation. Logistic regression techniques were used to analyze successful completion of gateway courses as an outcome of different …
Factors Affecting Standardized Test Scores: Internal And External Factors In Ohio School Districts, Denise Layne
Factors Affecting Standardized Test Scores: Internal And External Factors In Ohio School Districts, Denise Layne
Master of Science in Mathematics
The focus of this study was the internal and external school district factors that influence standardized test scores within the state of Ohio. This study also looked at differences in school characteristics between income classes as well as the current Black-White achievement gap in Ohio. The topics and analyses in this study were based off James Coleman’s 1966 report titled Equality of Educational Opportunity. Data was collected from public online databases, and all Ohio school districts with sufficient data were used. Findings regarding factors that influence test scores suggest that external school district factors play a larger role in test …
Predicting Academic Achievement From Extracurricular Engagement And Sense Of Belonging, Nathan Corum
Predicting Academic Achievement From Extracurricular Engagement And Sense Of Belonging, Nathan Corum
Master of Science in Mathematics
This research study examined the relationships between extracurricular activity engagement, a student’s sense of belonging to school and academic achievement. Research was conducted at a suburban high school in Ohio, with data being collected from student surveys and district provided informational data. The goal was to see if there were positive connections between these items to better help the district in determining further programs to improve student achievement. Findings indicated that sense of belonging was a significant predictor of academic achievement for the sample. However, extracurricular engagement was not found to be a significant predictor of academic achievement. Further, there …
Cognitive Processes, Self-Efficacy, And Environment: A Comprehensive Study Of Mathematics Achievement In A Private International School In China, Alexandra Bumbles, Abreu Carvalho
Cognitive Processes, Self-Efficacy, And Environment: A Comprehensive Study Of Mathematics Achievement In A Private International School In China, Alexandra Bumbles, Abreu Carvalho
Master of Science in Mathematics
The purpose of this study was to investigate the complex interplay between cognitive processes, self-efficacy, and environmental factors on academic achievement in mathematics within a private international school in China. Utilizing the Social Cognitive Theory as a theoretical framework, this research aimed to elucidate the extent to which these factors serve as significant predictors of mathematics achievement. The study involved a sample of 410 students from Years 6 to 12, with data collected through While the study provides substantial insights, several limitations were noted, including the restricted generalizability due to the specific sample, potential biases from self-reported data, and the …
The Influence Of Early Introduction To Algebra On Mathematics Achievement In A Rural School District In Ohio, Brittany Burns
The Influence Of Early Introduction To Algebra On Mathematics Achievement In A Rural School District In Ohio, Brittany Burns
Master of Science in Mathematics
Algebra I is a foundation for mathematical learning. The timing of enrollment is arguably a massive factor in mathematical success. The timing in which a student enrolls in Algebra I could shape their future in education and their career. This thesis examines the effects of 8th grade Algebra I enrollment versus 9th-grade Algebra enrollment regarding standardized test scores. The research finds that students perform higher on standardized test scores when they enroll in Algebra I in the 8th grade in comparison to students who enroll in Algebra I in the 9th grade. This finding is beneficial for the ultimate …
Gridiron Insights: Predicting Gameday Outcomes Through Regression Analysis In College Football, Ethan Reyes, Justin Beal
Gridiron Insights: Predicting Gameday Outcomes Through Regression Analysis In College Football, Ethan Reyes, Justin Beal
Master of Science in Mathematics
This research investigates the predictive power of the changes in spread, over/under betting lines, and home field advantage in determining whether the favored team in a college football betting market will cover the spread. The study examines three key factors: the change in the betting spread, the change in the over/under line, and the home-field advantage of the favored team. Using a comprehensive dataset of betting data from Draft Kings and Bovada, the study uses logistical regression techniques to analyze the relationship between these variables and the favored team’s performance against the spread. Our findings indicate that fluctuations in the …
The Influence Of Teacher Experience On Project Lead The Way Test Scores, Emily Schmitz
The Influence Of Teacher Experience On Project Lead The Way Test Scores, Emily Schmitz
Master of Science in Mathematics
roject Lead the Way (PLTW) is an organization that develops engineering curriculum for all grade levels. Research has been conducted on the curriculum and other STEM curriculum to determine student achievement levels and the factors that affect student achievement. These factors include teacher retention, teacher years of experience, student demographics, etc. Investigating how a teacher impacts their students learning can help schools understand the value of a seasoned teacher. With PLTW training having high costs it can make teacher retention a bigger concern. The Highland Prep Academies utilize PLTW curriculum and have about ten trained teachers across the three schools. …
Empirically Comparing The Performance Of Lda And Qda When Classifying Customer Sales Data With Different Properties Of Normality And Equality Of Covariance Matrices, Ayuk Egbe Bate-Eya
Empirically Comparing The Performance Of Lda And Qda When Classifying Customer Sales Data With Different Properties Of Normality And Equality Of Covariance Matrices, Ayuk Egbe Bate-Eya
Master of Science in Mathematics
Discriminant analysis is a statistical technique used to classify data into different classes. Many studies have compared different methods used to classify data as regards their performance. This study compares Linear Discriminant Analysis and Quadratic Discriminant Analysis under varying conditions of normality and the equality of covariance matrices. More precisely, this study seeks to determine which of the two techniques is better when classifying datasets with different properties of normality and equality of covariance matrices and aims to determine whether normality and equality of covariance matrices influence the prediction performance of each method. This study processes online stores’ customer sales …
Analyzing Significant Predictors Of Graduation Rates At A Four- Year University, Charles Barrier Jr.
Analyzing Significant Predictors Of Graduation Rates At A Four- Year University, Charles Barrier Jr.
Master of Science in Mathematics
The subject of graduation rates is important for both students and educational institutions alike. Students want to attend a university where they are most likely to graduate, and institutions want to provide a learning environment that is best suited for retention and graduation. This study analyzes the data of 2139 students from Shawnee State University in Portsmouth, Ohio to determine if there exist any significant predictors of graduation likelihood amongst demographic, situational, and academic predictors. A logistic regression approach is utilized to identify significant variables, and in short, high school GPA rises to the top as a predictor. This implies …
The Influence Of Wealth On Academic Performance In Secondary Schools, Dean Banziger
The Influence Of Wealth On Academic Performance In Secondary Schools, Dean Banziger
Master of Science in Mathematics
The purpose of this study was to determine if wealth and financial investment in public education within communities plays a significant role in the academic performance of students in West Virginia secondary schools. West Virginia is an interesting example of academic success relative to the wealth of the state. The state of West Virginia has the third highest poverty rate (17.9%) and the second lowest Gross Domestic Product per capita of all fifty states and the District of Columbia (World Population Review, 2022). West Virginia ranks dead last in average SAT scores (College Board, 2022). This study seeks to determine …
Transport And Fate Of Nitrate In A Saturated Buffer Zone As Assessed With A Chloride Tracer Test, Alhassan Sahad, Eric W. Peterson
Transport And Fate Of Nitrate In A Saturated Buffer Zone As Assessed With A Chloride Tracer Test, Alhassan Sahad, Eric W. Peterson
Faculty Publications-- Geography, Geology, and the Environment
The Upper Mississippi Basin, which includes Illinois, has highly fertile soils and experiences intensive agricultural practices. Although fertile, the soils do not drain well, resulting in the installation of tile-drainage systems. The practices of tile systems coupled with the application of nitrogen-rich fertilizers have led to the excessive export of nitrate from the agricultural fields into surface waters, contributing to eutrophication and the development of hypoxic zones in aquatic environments. Saturated riparian buffer zones (SRBs) have been proposed as a means to reduce the amount of nitrate discharged from tile-drained waters into streams. Previous works show a reduction in the …
Beyond The Cage: A Story Book For Children, Seemi Batool, Fozia Parveen
Beyond The Cage: A Story Book For Children, Seemi Batool, Fozia Parveen
IED, P Non-Scholarly Publications
This is an open and free resources created for parents and teachers to use in homes and classrooms. Please do not hesitate to reach out to us if you have any comments. fozia.parveen@aku.edu
seemi.batool02@gmail.com
Nwac Snow School Intern, Sorelle Sumner Thompson
Nwac Snow School Intern, Sorelle Sumner Thompson
College of the Environment Internship Reports
The Mt. Baker Snow School internship opportunity with Western Washington University and the Northwest Avalanche Center (NWAC) allows students to help educate middle schoolers in the Skagit and Whatcom school districts on snow science. Every Friday in March, I supported snow professionals and biologists by teaching kids about snowpack analysis, snow algae sampling, snow water equivalency, snow crystal observations, etc. The internship is also coupled with NWAC program outreach to help educate the public on recreating outside responsibly. The program outreach was two weekend days in March that consisted of setting up an NWAC tent and reaching out to backcountry …