Digital Commons Network^™

Absolute Neutral Densities And Temperatures And Their Climatologies In The Middle Atmosphere Using An Optimal Estimation Method With Rayleigh-Scatter Lidar Observations Obtained At Utah State University, Jonathan L. Price

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The Earth’s atmosphere is comprised of layers which can be defined by their temperature characteristics. These layers are the troposphere, stratosphere, mesosphere and thermosphere. The region where life exists is in the troposphere, however the study of the layers above is important as changes in these regions can directly impact, or indicate significant changes in, weather in the troposphere. The mesosphere is the least well-known region because it is the most difficult to observe. One of the best tools for observing this region is the Rayleigh-scatter lidar. It is capable of remotely observing the entirety of the mesosphere with good …

High-Magnification Digital Image Correlation Techniques For Aged Nuclear Fuel Cladding Testing, Robert Scott Hansen

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Nuclear fuel cladding in light water reactors, often made of zirconium alloys, is naturally made more brittle by exposure to the water coolant during normal reactor operation. However, this embrittlement by zirconium hydrides changes the mechanical behavior of the cladding material, affecting how it will deform and what may cause it to fail. Because the cladding already has different properties in different material directions, mechanical testing also needs to be direction specific. In addition, to understand the effects that these microscale hydride features have, measurements of deforming cladding need to be at a microscale. This dissertation describes several high-magnification innovations …

Candidate Ideology And Small Donor Contributions, Ryan Kobe

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

While individual citizens are the biggest source of campaign fundraising in Senate and House elections, previous research has focused on individuals donating over the reporting limit of $200. The Federal Elections Committee now makes available data on individuals who donate less than $200, and as these donors take on a bigger role in congressional fundraising, a new analysis of donor motivations is needed. This thesis investigates if and how candidate ideology is related to amount contributed. Specifically, I ask whether the dollar amount of contributions changes depending on how conservative or liberal a candidate is. These results have important implications …

Peer-To-Peer Feedback: An Instructional Strategy In Teacher Evaluation, Brady L. Ridge

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Over the last several decades there have been federal movements in education which place more accountability on schools and consequently their principals. Principals have many responsibilities which vary from administrative duties to improving teaching in their schools. As a result, principals are often asked to do more than they believe they have time to accomplish. Peer-to-peer feedback is a practice that principals can use to help evaluate, and more importantly, help teachers improve their teachers' teaching. This multi-case or multi-school qualitative study researched the practice of peer-to-peer feedback at two elementary schools. The purpose was to understand how peer-to-peer feedback …

Examining Segregation Between Chinese And Euroamerican Residences Using Suitability Modeling Within The Built Environment At Terrace, Utah: A Case Study, Kelly N. Jimenez

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Suitability modeling is a useful approach for exploring human interactions with their environments. Within a geographic information system (GIS) environment, locations are weighted relative to each other, resulting in a landscape hierarchy that displays regions from least to most suitable. Suitability modeling is used in various disciplines, from urban planning to natural resources, but a gap exists in research concerning social human behavior. This method can especially contribute to the investigation of social inequality at archaeological sites by considering multiple attributes within a site. In this thesis, I use method to determine social inequality between cultural groups at the historic …

A New Algorithm For Robust Affine-Invariant Clustering, Andrews Tawiah Anum

Open Access Theses & Dissertations

Cluster analysis is an unsupervised machine learning technique commonly employed to partition a dataset into distinct categories referred to as clusters. The k-means algorithm is a prominent distance-based clustering method. Despite its overwhelming popularity, the algorithm is not invariant under non-singular linear transformations and is not robust, i.e., can be unduly influenced by outliers. To address these deficiencies, we propose an alternative clustering procedure based on minimizing a “trimmed” variant of the negative log-likelihood function. We develop a “concentration step”, vaguely reminiscent of the classical Lloyd’s algorithm, that can iteratively reduce the objective function. Multiple real and synthetic datasets are …

Racial Diversity Of Texas School Teachers, Julie Ann Olguin-Phillips

Electronic Theses and Dissertations

There is a growing gap between the racial demographics of public-school teachers and their students. Teachers with demographic backgrounds similar to a school’s student population are often successful, particularly in Title 1 schools with high proportions of minority students; however, teacher turnover is high. The students in Texas public schools are a growing minority-majority population. Changes in the student body racial composition and other school-related variables could influence teacher workforce demographics. The focus of discussion of this quantitative research study is to determine the factors that predict the racial diversity of teachers in Texas high schools. The research questions addressed …

Two-Way Load Flow Analysis Using Newton-Raphson And Neural Network Methods, Aya Emad Omar Al Shaltouni

Theses

This research presents a study of the optimal power flow for networked microgrids with multiple renewable energy sources (PV panels and wind turbines), storage systems, generators, and load. The OPF problem is performed using a conventional method and an Artificial Intelligence method. In this research, we investigated the performance of MGs system with renewable energy integration with focus on power flow studies. The calculation of the power flow is based on the well-known Newton-Raphson method and Neural Network method. The power flow calculation aims to evaluate the grid performance parameters such as voltage bus magnitude, angle, real and reactive power …

Panimulang Pagsusuri Sa Gamit Ng Tabletop Game Na Isabuhay Bilang Estratehiya Sa Pagtutura Ng Wika, Mariyel Hiyas Concha Liwanag

Journal Article

This paper evaluated the tabletop game Isabuhay as a strategy for teaching language in college level. The first part of the paper discusses the concept of game-based learning and its examples in different disciplines. This is followed by the discussion of the experiences of the students and the teacher in using the game as part of their class. Lastly, the game was evaluated using the principles of game-based learning by James Paul Gee. In the evaluation, the game was able to follow the principles of "empowered learner" and the creation of space for problem-solving and understanding, however, there are parts …

Law Library Blog (December 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Envisioning A Legal Framework For Outer Space Cultural Heritage, Lucas Lixinski, M. M. Losier, Hannah Schreiber

Journal of Space Law

No abstract provided.

Achievement Growth In K-8 Catholic Schools Using Nwea Data, Julie W. Dallavis, Megan Kuhfeld, Beth Tarasawa, Stephen Ponisciak

Journal of Catholic Education

Using a national sample of kindergarten to eighth grade students from Catholic and public schools who took MAP Growth assessments, we examine achievement growth over time between sectors. Our findings suggest that while Catholic school students score higher in math and reading than public school students on average, they also enter each school year at a higher level. Public school students close this gap to some degree during the school year. Additionally, these patterns varied by age and subject. Catholic school students in the earlier grades show less growth in both reading and math during the academic year compared to …

The Predictability Of Selected Academic Demographic And Family Related Factors On The Academic Achievement Of Middle School Students., Demetria Westmoreland

Dissertations (2016-Present)

The purpose of this study was to examine the relationship and predictability of selected demographic, academic and family related factors on the academic performance of middle school students. Specifically, this study will be concerned with the predictability of the variables gender, ethnicity, standardized mathematics scores, standardized reading scores, family income, type of household, socioeconomic status and primary language spoken in the home on the academic performance of middle school students as measured by their STAAR’s social studies scores. A quantitative correlational research design was employed in the current investigation. A linear relationship was not found between the demographic factors of …

The Impact Of Selective Cognitive And Non-Cognitive Factors On Academic Performance And Persistence Rate Of First-Year College Students: Implications For Counseling., Tanya Sharneek Jones

Dissertations (2016-Present)

The issue of first-year college students academic performance and persistence rate has recently become a focal point for policy discussions because researchers, administrators, counselors, and policymakers are increasingly interested in understanding why some students succeed while others fail. To help incoming freshmen accomplish their academic and career goals, college and universities must gain the necessary insight on how to retain these students and assist them in matriculating on their campuses. Selective cognitive and non-cognitive characteristics associated with incoming freshmen will have a significant impact on them remaining in school and graduating. The purpose of this study was to examine the …

Irreversibility Minimization Analysis Of Ferromagnetic Oldroyd-B Nanofluid Flow Under The Influence Of A Magnetic Dipole, Muhammad Ramzan, Fares Howari, Jae Dong Chung, Seifedine Kadry, Yu Ming Chu

All Works

© 2021, The Author(s). Studies highlighting nanoparticles suspensions and flow attributes in the context of their application are the subject of current research. In particular, the utilization of these materials in biomedical rheological models has gained great attention. Magneto nanoparticles have a decisive role in the ferrofluid flows to regulate their viscoelastic physiognomies. Having such substantial interest in the flow of ferrofluids our objective is to elaborate the melting heat transfer impact in a stretched Oldroyd-B flow owing to a magnetic dipole in the presence of entropy generation optimization. Buongiorno nanofluid model expounding thermophoretic and Brownian features are considered. Moreover, …

Ferris Bakes, Ferris Dehart

Honors Capstones

No abstract provided.

Sheltered English Immersion In Massachusetts: Examining The Reflections Of Career And Technical Teachers With Regard To A Mandated “One-Size-Fits-All” Professional Development Model, Rebecca Nault Swasey

All Theses And Dissertations

Educators in Massachusetts have sought to use multiple professional development models to fill the gap of what bilingual programs once provided. A consequence of the 2002 vote indicated that all teachers have the responsibility to teach language to English language learners (ELLs) in Massachusetts. With all this change in federal and state policy, the only modification to the teacher preservice model for career and technical teachers was the addition of one required professional development series on providing sheltered English immersion to ELLs in their vocational-technical programs. However, the current SEI professional development model may not be able to provide for …

Effect Of Renin-Angiotensin System Inhibitors On Acute Kidney Injury Among Patients Undergoing Cardiac Surgery: A Review And Meta-Analysis, Han Zhou, Jingui Xie, Zhichao Zheng, Oon Cheong Ooi, Haidong Luo

Research Collection Lee Kong Chian School Of Business

Acute kidney injury (AKI) is a frequent complication of cardiac surgery, which can lead to higher mortality and long-term renal function impairment. The effect of perioperative renin-angiotensin system inhibitors (RASi) therapy on AKI incidence in patients undergoing cardiac surgery remains controversial. We reviewed related studies in PubMed, Scopus, and Cochrane Library from inception to February 2020. Two randomized controlled trials and 21 cohort studies were included in the meta-analysis, involving 76,321 participants. The pooled odds ratio and 95% confidence interval were calculated using the DerSimonian and Laird random-effects model. The results showed no significant association between perioperative RASi therapy and …

The Pest Kill Rate Of Thirteen Natural Enemies As Aggregate Evaluation Criterion Of Their Biological Control Potential Of Tuta Absoluta, Joop C. Van Lenteren, Alberto Lanzoni, Lia Hemerik, Vanda H.P. Bueno, Johanna G. Bajonero Cuervo, Antonio Biondi, Giovanni Burgio, Francisco J. Calvo, Peter W. De Jong, Silvia N. López, M. Gabriela Luna, Flavio C. Montes, Eliana L. Nieves, Pascal Osa Aigbedion-Atalor, Maria B. Riquelme Virgala, Norma E. Sánchez, Alberto Urbaneja

All Peer-Reviewed Publications

Ecologists study how populations are regulated, while scientists studying biological pest control apply population regulation processes to reduce numbers of harmful organisms: an organism (a natural enemy) is used to reduce the population density of another organism (a pest). Finding an effective biological control agent among the tens to hundreds of natural enemies of a pest is a daunting task. Evaluation criteria help in a first selection to remove clearly ineffective or risky species from the list of candidates. Next, we propose to use an aggregate evaluation criterion, the pest kill rate, to compare the pest population reduction capacity of …

In Situ Nitrogen Mineralization And Nutrient Release By Soil Amended With Black Soldier Fly Frass Fertilizer, Dennis Beesigamukama, Benson Mochoge, Nicholas Korir, Changeh J. Ghemoh, Sevgan Subramanian, Chrysantus M. Tanga

All Peer-Reviewed Publications

Although black soldier fly frass fertilizer (BSFFF) is effective on crop performance, information on nitrogen (N) mineralization and nutrient release capacity of soils amended with BSFFF is lacking. This study utilized field incubation experiments to investigate the ammonification, nitrification, microbial populations, and quantities of nutrients released by soils amended with BSFFF and commercial organic fertilizer (SAFI) for a period equivalent to two maize cropping seasons. For the control treatment, no BSFFF or SAFI was added. Results indicated that most of the N in BSFFF amended soils was available in the ammonium form, while soils treated with SAFI had higher nitrate …

A System Dynamics Model For Pests And Natural Enemies Interactions, Bonoukpoè Mawuko Sokame, Henri E.Z. Tonnang, Sevgan Subramanian, Anani Y. Bruce, Thomas Dubois, Sunday Ekesi, Paul André Calatayud

All Peer-Reviewed Publications

Stemborers (Busseola fusca, Sesamia calamistis and Chilo partellus), the fall armyworm (Spodoptera frugiperda) and associated parasitoids constitute an interacting system in maize fields in Kenya. This work aims at developing and evaluating models that represent the evolution of those interactions by applying system thinking and system dynamics approaches with its archetypes [causal loop diagram (CLD), reinforcing (R) and balancing (B)] to analyse the population of these multi-species systems. The software Vensim PLE 8.0.9 was used to implement the models and carry out the simulations of single- and multi-species systems. The results showed that when a single pest species with its …

How Are Agricultural Research Projects Conceiving Innovation? An Assessment Of The European Union Multi-Actor Projects, Samuel Brea Martinez-Collado

Graduate Theses and Dissertations

Horizon research programs are the European Union’s lighthouse for innovation and research concerning the agri-food chain, the management of natural resources, and the bioeconomy. Their innovation strategy approach is one that pursues the practical application of the research via the collaboration of all actors involved. Such strategy is the reflection of a Multi-Actor Approach as their procedure to enhance innovation. This paper presents the main trends and directions 101 Multi-Actor Projects (MAPs) are following on said approach towards innovation. The analysis is based on the use of well-defined “pathways” and “measures” proposed in the Guidelines for Evaluation of Innovation in …

Solar Generated Electricity: An Analysis Of What Sectors Are Most Affected By Renewable Portfolio Standards And Related Policies, Logan Knollenberg

Dissertations and Theses

The aim of this thesis is to analyze state-specific Renewable Portfolio Standards (RPS) to understand their design and spillover effect onto non-utility (commercial, residential, industrial) sectors. Past research has overlooked non-utility sectors, often focusing on overall renewable energy growth and electricity generation from a combined end-result perspective. Solar capacity and solar generated electricity data from 5 states are used to establish which non-utility sectors experienced the highest level of solar growth from RPSs and related policies between 2010 and 2019. An explanatory sequential design is utilized, where interrupted time series analyses and exploratory case studies are performed to analyze each …

Approachable Error Bounded Lossy Compression, Robert Raymond Underwood

All Dissertations

Compression is commonly used in HPC applications to move and store data. Traditional lossless compression, however, does not provide adequate compression of floating point data often found in scientific codes. Recently, researchers and scientists have turned to lossy compression techniques that approximate the original data rather than reproduce it in order to achieve desired levels of compression. Typical lossy compressors do not bound the errors introduced into the data, leading to the development of error bounded lossy compressors (EBLC). These tools provide the desired levels of compression as mathematical guarantees on the errors introduced. However, the current state of EBLC …

Coupled Thermal Mechanical Analysis Methodology For Thermal Performance Evaluation And Failure Mode Identification Of Thermal Barrier Coatings For Heavy Duty Diesel Engines, Sean Moser

All Dissertations

Consumer demand and government regulation, as well as the Department of Energy’s SuperTruck program has motivated extraordinary effort to maximize the heavy-duty diesel engine’s thermal efficiency. Thermal barrier coatings (TBCs) provide an avenue for increasing the thermal efficiency of the mixing controlled combustion (MCC) process through the reduction of heat transfer losses. The myriad of previous studies presents conflicting conclusions, both in the merit of TBCs for cycle improvement, and also for coating durability and potential adverse effects from coating failure. While the most recent studies with thin thermal barrier coatings (~100-250 µm) have shown a majority of positive cycle …

An Algorithm For Biobjective Mixed Integer Quadratic Programs, Pubudu Jayasekara Merenchige

All Dissertations

Multiobjective quadratic programs (MOQPs) are appealing since convex quadratic programs have elegant mathematical properties and model important applications. Adding mixed-integer variables extends their applicability while the resulting programs become global optimization problems. Thus, in this work, we develop a branch and bound (BB) algorithm for solving biobjective mixed-integer quadratic programs (BOMIQPs). An algorithm of this type does not exist in the literature.

The algorithm relies on five fundamental components of the BB scheme: calculating an initial set of efficient solutions with associated Pareto points, solving node problems, fathoming, branching, and set dominance. Considering the properties of the Pareto set of …

Capillary Driven Transport In Soft Solids, Saiful Islam Tamim

All Dissertations

Soft solids, such as polymeric gels, are elastic materials that can be significantly deformed by capillary forces which act at the interface. The coupling between elasticity and capillarity is known as elastocapillarity and is useful to wide ranging applications, from drop pinchoff of bioinks for 3-D printing tissue scaffolds, to generating droplet patterns on microfluidic devices. In this dissertation, we develop mathematical models of elastocapillary driven motions in soft solids. The focus is on understanding the relevant physics in such complex phenomena, while also recovering the limiting cases of classical fluid mechanics and solid mechanics theories.

This dissertation investigates two …

Evapotranspiration In Mid-South Rice Production, Colby Wade Reavis

Graduate Theses and Dissertations

Rice provides much needed sustenance to a large portion of the global population, particularly in the developing world. With stress placed on food production systems under the reality of climate change and an increasing global population, rice production systems require solutions to a number of issues, including a limited water supply. As producers explore new strategies for conserving local water resources to continue to maintain yields, new irrigation strategies and technologies are being developed and validated for use at commercial production scales. Alternate wetting and drying (AWD) is an irrigation practice that provides water savings through the capture of rainfall …

Image Encryption Paillier Homomorphic Cryptosystem, Zainab Mohammed, Hala Bahjat, Abdul Mohssen Jaber Abdul Hossen

Iraqi Journal of Computers, Communications, Control and Systems Engineering

With the increasing use of media in communications, both academia and industry pay attention to the content security of digital images. This research presents a Homomorphic cryptosystem-based asymmetric picture encryption technique (Paillier). The algorithm is used for securing images that transmit over public unsecured channels. The Homomorphic property is used in this paper, which is comprised of three steps: key generation, encryption, and decryption. To realize such approach, the encryption cryptosystem must support additional operation over encrypted data. This cryptosystem can be effective in protecting images and supporting the construction of programs that can process encrypted input and produce encrypted …

Speaker Recognition System Based On Mel Frequency Cepstral Coefficient And Four Features, Ashraf Tahseen, Hasanen S., Mohammad N. Fadhil

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Biometrics signs are the most important factor in the human recognition field and considered an effective technique for person authentication systems. Voice recognition is a popular method to use due to its ease of implementation and acceptable effectiveness. This original_study will introduce a speaker recognition system that consists of preprocessing techniques to eliminate noise and make the sound smoother. For the feature extraction stage, the method Mel Frequency Cepstral Coefficient (MFCC) is used, and in the second step, the four features (FF) Mean, Standard Division, Zero-Cross and Amplitude, which added to (MFCC) to improve the results. For data representation, vector …