Digital Commons Network^™

Stimuli-Responsive And Electrically Conductive Metal-Organic Frameworks, Amina Khatun

All Dissertations

Metal-organic frameworks (MOFs), a class of porous materials made of organic ligands linked by metal ions or cluster nodes, are well known for their highly ordered crystalline structure and chemical and structural tunability. Due to their porous nature, MOFs can encapsulate guest molecules inside the cavities. The tunable structures, compositions, porosity, and surface area make MOFs useful for various applications, such as gas storage and separation, chemical sensing, catalysis, optoelectronics, and drug delivery.

In chapter 2, I present a new luminescent metal-organic framework (LMOF) featuring energy transfer and stimuli (Hg²⁺) responsive capabilities. The two fluorophoric ligands incorporated in …

Of Single Nucleotides And Single Cells: Charting The Genotype-Phenotype Map At High Resolution Using Drosophila Melanogaster, Sneha Shreekant Mokashi

All Dissertations

Understanding the mechanisms by which genetic variation brings about phenotypic variation is essential for understanding variation in complex traits. Drosophila melanogaster is a powerful model organism for such studies. Flies are easy to raise in the laboratory under controlled genetic and environmental conditions and many genetic tools are widely available. To chart the genotype-phenotype map, we need to study how individual genetic variants contribute to phenotypic variation, as well as how environmental perturbations influence gene expression.

Regarding the former, I generated single nucleotide substitutions in Obp56h in a common genetic background. Obp56h, a member of the Odorant binding protein …

The Genetics Of Kidney Disorders In Phelan-Mcdermid Syndrome, Megan Mccoy

All Dissertations

No abstract provided.

Understanding Process-Structure-Property-Performance Relationships Of Thermoplastic Olefins (Tpo) Foams Through A Novel Manufacturing To Response Pathway, Sai Aditya Pradeep

All Dissertations

The global transportation industry is the second highest contributor to climate change. As a result, there has been a concerted effort to spearhead research in economical lightweighting technologies, as every 10 % reduction in weight will lead to to 6 – 8 % improvement in fuel efficiency. Additionally, the recent push for electrification and the emphasis on Corporate Average Fuel Economy (CAFE) standards have seen original equipment manufacturers (OEM’s) dive into lightweighting of materials to improve overall range and/or fuel-efficiency. Thermoplastic Olefins (TPOs) have in recent years carved out a niche in the automotive industry due to advantages such as …

Deep Learning-Guided Prediction Of Material’S Microstructures And Applications To Advanced Manufacturing, Jianan Tang

All Dissertations

Material microstructure prediction based on processing conditions is very useful in advanced manufacturing. Trial-and-error experiments are very time-consuming to exhaust numerous combinations of processing parameters and characterize the resulting microstructures. To accelerate process development and optimization, researchers have explored microstructure prediction methods, including physical-based modeling and feature-based machine learning. Nevertheless, they both have limitations. Physical-based modeling consumes too much computational power. And in feature-based machine learning, low-dimensional microstructural features are manually extracted to represent high-dimensional microstructures, which leads to information loss.

In this dissertation, a deep learning-guided microstructure prediction framework is established. It uses a conditional generative adversarial network (CGAN) …

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 …

Settlement Patterns And Urbanization In The Yautepec Valley Of Central Mexico, Timothy S. Hare

Faculty Research at Morehead State University

We carried out a full-coverage survey of the Yautepec Valley in the 1990s to reconstruct demography and settlements and their changes through time. We investigated the extent to which well-documented developments in the adjacent Basin of Mexico were paralleled in Yautepec, as well as the impact of regional empires and economies on local society. Our analyses focused on Teotihuacan relations in the Classic period and relations with the Aztec empire and the Mesoamerican world system in the Middle and Late Postclassic periods. In addition to locating, mapping, and describing sites and taking grab-bag artifact collections, we also made a series …

A Pipeline For Enhanced Multimodal 2d Imaging Of Concrete Structures, Sina Mehdinia, Thomas Schumacher, Xubo Song, Eric A. Wan

Civil and Environmental Engineering Faculty Publications and Presentations

We present an imaging pipeline to achieve enhanced images of the interior of concrete from ground penetrating radar (GPR) and ultrasonic echo array (UEA) measurements. This work lays the foundation for an advanced yet practical imaging tool to assess concrete structures. Specifically, we propose an enhanced two-dimensional (2D) total focusing method (XTFM) to reconstruct images from raw GPR and UEA data. The proposed XTFM algorithm integrates total focusing method (TFM) and synthetic aperture focusing technique (SAFT) concepts to post-process large independent and interelement measurements from both modalities in a computationally efficient way. Furthermore, we introduce a novel 2D image fusion …

Òpera, Diversitat, Inclusió: Una Reflexió A Partir D'Una Estrena A Nova York, Antoni Pizà

Publications and Research

La inauguració de la temporada d’òpera a qualsevol ciutat important sol ser un gran esdeveniment i el Metropolitan Opera de Nova York (MET) no és cap excepció. És, lògicament, una nit de gala i tots els rituals de le grande monde es despleguen amb rigor litúrgic. Hi ha autoritats polítiques, naturalment, però sobretot lluminàries del món de les altes finances, la cultura i la ciència. Hi ha, també, sectors de la societat que no s’ho voldrien perdre per res del món: un petit univers d’estudiants de música tan ambiciosos com pobres i alguns grups com, el col·lectiu LGBTI+, molt discrets …

Optimizing Provision Of Rights-Based Family Planning Services By Community Midwives (Cmws) In Tando Allah Yar, Iram Kamran, Rehan M. Niazi, Ramsha Hasham, Haider Safdar Abbasi

Sexual and Reproductive Health, Rights, and Choices

Community Midwives (CMWs) are a key cadre of community-level reproductive health service providers in Pakistan. CMWs provide a range of maternal and child health (MCH) services including family planning (FP), but due to a lack of supplies and training and other reasons they are currently not providing FP services. This pilot study examined the effects of providing training in client-centered FP service provision, a regular supply of free contraceptives, and necessary equipment on the uptake, outreach, and quality of CMWs’ FP services. The study was conducted in Tando Allah Yar, a district of Sindh with average provincial demographic and socioeconomic …

In-Person Data Collection During Covid-19: Considerations And Lessons Learned From Conducting Mixed Methods Social And Behavior Change Research In Niger, Breakthrough Research

Sexual and Reproductive Health, Rights, and Choices

This brief provides an overview of considerations and lessons learned from conducting in-person mixed methods research in the context of COVID-19. It is intended for global and regional public health program implementers, evaluators, and donors in USAID priority countries. Using an applied example from the RISE II Integrated SBC Evaluation carried out by Breakthrough RESEARCH, the brief provides an overview of the COVID-19 situation in Niger and describes how researchers deliberated on various data collection strategies to conduct a mixed methods evaluation during a global pandemic. The brief then illustrates the steps undertaken to develop and implement a COVID-19 phased …

Marianist Educational Associates: Advancing And Promoting The Mission Of Catholic And Marianist Universities, Corinne Brion, Allison Leigh

Journal of Catholic Education

Preparing employees to become stewards of the Marianist values and charisms has become a priority at a Marianist institution because employees impact the institution’s environment and faculty and staff directly impact student learning. To date, there is a lack of research conducted among employees of a Marianist institution on how new understandings of institutional mission get transferred to their jobs. Additionally, there is a lack of empirical studies that examine what enhances and hinders the transfer of such understanding. Using the Multidimensional Model of Learning Transfer as a theoretical framework, the purpose of this qualitative study is to explore the …

Elucidation Of The Cellular Mechanisms Underlying Missense Mutations In Low Density Lipoprotein Receptor Related Protein 6 (Lrp6) Associated With Cardiovascular Diseases, Huda Issa Samha

Theses

Low-density Lipoprotein Receptor Related Protein 6 (LRP6) is a member of the Low-Density Lipoprotein Receptors family (LDLRs) which is involved in the clearance of LDL from the bloodstream and the signaling of the canonical wingless signaling pathway. Several genetic variants in the LRP6 gene have been conclusively associated with cardiovascular diseases (CVDs) and metabolic syndrome. However, the structural and functional implications of those variations have not been fully elucidated. The CVD-associated LRP6 variants could be retained and possibly subjected to Endoplasmic Reticulum Associated Degradation (ERAD), a quality control and adaptive process employed by cells to eliminate misfolded proteins to maintain …

Thrombosis With Thrombocytopenia Syndrome After Administration Of Azd1222 Or Ad26.Cov2.S Vaccine For Covid-19: A Systematic Review, Usama Waqar, Shaheer Ahmed, Syed M H Ali Gardezi, Muhammad Sarmad Tahir, Zain Ul Abidin, Ali Hussain, Natasha Bahadur Ali, Syed Faisal Mahmood

Medical College Documents

Background: Cases of thrombosis with thrombocytopenia syndrome (TTS) have been reported following vaccination with AZD1222 or Ad26.COV2.S. This review aimed to explore the pathophysiology, epidemiology, diagnosis, management, and prognosis of TTS.
Methods: A systematic review was conducted to identify evidence on TTS till 4th September 2021. Case reports and series reporting patient-level data were included. Descriptive statistics were reported and compared across patients with different sexes, age groups, vaccines, types of thrombosis, and outcomes.
Findings: Sixty-two studies reporting 160 cases were included from 16 countries. Patients were predominantly females with a median age of 42.50 (22) years. AZD1222 was administered …

Hierarchical Control Of Multi-Agent Reinforcement Learning Team In Real-Time Strategy (Rts) Games, Weigui Jair Zhou, Budhitama Subagdja, Ah-Hwee Tan, Darren Wee Sze Ong

Research Collection School Of Computing and Information Systems

Coordinated control of multi-agent teams is an important task in many real-time strategy (RTS) games. In most prior work, micromanagement is the commonly used strategy whereby individual agents operate independently and make their own combat decisions. On the other extreme, some employ a macromanagement strategy whereby all agents are controlled by a single decision model. In this paper, we propose a hierarchical command and control architecture, consisting of a single high-level and multiple low-level reinforcement learning agents operating in a dynamic environment. This hierarchical model enables the low-level unit agents to make individual decisions while taking commands from the high-level …

Video Snapshot: Single Image Motion Expansion Via Invertible Motion Embedding, Qianshu Zhu, Chu Han, Guoqiang Han, Tien-Tsin Wong, Shengfeng He

Research Collection School Of Computing and Information Systems

Unlike images, finding the desired video content in a large pool of videos is not easy due to the time cost of loading and watching. Most video streaming and sharing services provide the video preview function for a better browsing experience. In this paper, we aim to generate a video preview from a single image. To this end, we propose two cascaded networks, the motion embedding network and the motion expansion network. The motion embedding network aims to embed the spatio-temporal information into an embedded image, called video snapshot. On the other end, the motion expansion network is proposed to …

Investigating Recommended Language Instruction Of Complex Literary Texts: A Content Analysis Of Close Reading Lesson Plans For Elementary Grades, Michelle Flory

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Expectations have been placed upon elementary teachers from the Common Core State Standards in English Language Arts to guide students through close readings of informational and literary texts. This content analysis examined online close reading lesson plans to determine common objectives in elementary close reading lessons using literary text and to delineate which aspects of language are recommended for close reading instruction. Lessons for primary and intermediate grade levels were stratified and highlighted which instructional moves and student tasks are recommended for making complex language in texts more comprehensible. Key findings indicate a lack of alignment in lesson planning between …

Gps-Denied Navigation Using Synthetic Aperture Radar Images And Neural Networks, Teresa White

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Unmanned aerial vehicles (UAV) often rely on GPS for navigation. GPS signals, however, are very low in power and easily jammed or otherwise disrupted. This paper presents a method for determining the navigation errors present at the beginning of a GPS-denied period utilizing data from a synthetic aperture radar (SAR) system. This is accomplished by comparing an online-generated SAR image with a reference image obtained a priori. The distortions relative to the reference image are learned and exploited with a convolutional neural network to recover the initial navigational errors, which can be used to recover the true flight trajectory throughout …

Development And Validation Of A Basic Ground Skills Assessment For Equine-Assisted Services, Sarah J. Andersen

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The equine-assisted services program at Utah State University produced and validated an assessment process used to test equines for suitability for equine-assisted services. Equine-assisted services incorporate the interaction of humans who face mental, physical, emotional, and/or social challenges and equines for therapeutic purposes. Recreational, physical, mental, social, and/or emotional goals are met through various equine-assisted services such as therapies, equine-assisted learning, and horsemanship.

Due to the potential for human injury while interacting with equines, it is important to ensure equines are assessed for safe behavior prior to participation in equine-assisted services. This is why our group developed and tested the …

The Internal Charge Evolution Of Multilayered Materials Undergoing Mono-Energetic Electron Bombardment, Gregory Wilson

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The charging of multilayer materials as related to the charging of spacecraft is one of the primary concerns related to activities in the space environment. To understand how multilayer materials undergoing electron bombardment charge, an in-depth study of energy-dependent material properties must be undertaken. These properties include the electron penetration depth, secondary electron emission, charge transport and electrostatic discharge. By using energy dependent models of these properties, along with the geometry of the system, multilayer models can be developed to predict the time evolution of the internal charge distribution. Using these models, the net surface potential and the measurement of …

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 …

Tractor Connections For Killing Tensors And Their Generalizations, Benjamin D. Shaw

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

We create new symbolic software tools for the analysis of Killing tensors. Central to our work is the construction of the tractor connection defined on the tractor bundle, which allows one to obtain information about the space of Killing tensors without solving the Killing equations–an approach termed the tractor approach. We give a new application of the tractor approach which allows one to more easily check explicitly for linear independence of a given set of Killing tensors. We develop software to implement such methods in the case of rank 2 Killing tensors; similarly, we develop software to implement analogous methods …

Intelligent Traffic Management: From Practical Stochastic Path Planning To Reinforcement Learning Based City-Wide Traffic Optimization, Kamilia Ahmadi

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This research focuses on intelligent traffic management including stochastic path planning and city scale traffic optimization. Stochastic path planning focuses on finding paths when edge weights are not fixed and change depending on the time of day/week. Then we focus on minimizing the running time of the overall procedure at query time utilizing precomputation and approximation. The city graph is partitioned into smaller groups of nodes and represented by its exemplar. In query time, source and destination pairs are connected to their respective exemplars and the path between those exemplars is found. After this, we move toward minimizing the city …

The Effects Of Explicitly Teaching Summarization Skills On The Reading Comprehension Of Students With Specific Learning Disabilities, Sherri Lay

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Students with reading disabilities struggle with comprehending what they are reading and the necessary strategies to help them understand what they read. Summarizing what was read is a proven strategy for improving reading comprehension. This project examined one strategy for writing summaries called Generating Interactions between Schemata and Text or GIST. Participants included two 7^th grade students and one 8^th grade student who were in Special Education classroom for reading services. The results of this study were inconclusive. Participants showed growth in their summarizing skills, but the growth could not be adequately attributed to the GIST strategy.

Predictive Models Of Post-Wildfire Debris Flow Volume And Grain Size Distribution In The Intermountain West, Sara Wall

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Post-fire debris flows represent the most erosive and potentially hazardous consequence associated with increasing wildfire severity. While an abundance of research has explored where they are likely to occur and their potential magnitude, investigations into understanding how they impact downstream resources are limited. Recent advancements are seeking to link predictive models together to be able to predict how erosion after wildfire may impact reservoirs and aquatic habitat downstream. However, there are two key missing pieces into our ability to examine watershed-scale impacts of post-fire erosion. These include having accurate predictions of how much sediment is likely to be deposited by …

Assessing Parental Involvement In Required High School Financial Literacy Education Courses Taught In Utah School Districts, Jennifer L. Gardner

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Financial management skills are used throughout our lives, from the first allowance we receive until we provide funds for our funeral services and burial. How do we learn financial skills that last us a lifetime?

Much of our learning comes from watching others, specifically as children and teens, even into young adulthood, as explained by Social Learning Theory. This informal learning can help or hinder us throughout our lives, especially when finances are involved. In recent years, the opportunities for formal education have increased.

Ideally, based on systems theory, formal and informal financial learning would work hand in hand for …

Collective Motion In Pelotons And Fish Schools: Observation And Modeling, Syed Rafid Rahman

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

In recent years there has been a sharp increase in deriving inspiration from nature for engineering applications. However there has been lack of high-resolution data from which insights into collective behavior can be drawn and models can be validated. In this imaging based thesis, data from high-speed, overhead cameras, and GPS tracking are used to collect position and sensory data for large groups of 40 or more members. These data helps us understand how different members (fish, cyclists) of a group interact with each other in collective motion. The focus of this work is to find how individual behavior leads …

Towards Automation Of Aluminum Cell Ramming Process, Maryam Salem Abdelfattah Mohamed Alkaabi

Theses

Newly installed cathode blocks in an aluminium reduction cell, expand due to a rapid increase of temperature when passing a high current at the start-up of the cell. High thermal stresses may result if cathode blocks are lined without gaps, and this can lead to cracking of the cathodes and failure of the cell. On the other hand, leaving gaps would cause failure due to molten metal infiltration in the gaps. To overcome these problems carbon-based ramming material is used to fill these gaps. Currently ‘Filling’ is carried out manually or partially automated, but this needs to be fully automated …

Immobilized Lipase On Zif For Enhanced Biofuel Production, Reem Mohammed Al Mansouri

Theses

Enzymatic transesterification of triglycerides to produce biodiesel has been gaining increasing attention owing to its advantages over chemical processes. Being catalysts, enzymes are not consumed during the processes in which they are used. Therefore, a successful technique to allow their repeated use can significantly enhance the economic feasibility of the process. The most common approach to allow easy separation of the enzymes and to eliminate their wastage is immobilization on a support matrix. Recently, Metal-Organic Frameworks (MOFs) have been suggested as preferable support for enzyme immobilization, owing to their high-order structure and high porosity and specific surface area. This thesis …

The Impact Of Wastewater Chemistry And Flow Characteristics On Hydrogen Sulfide Concentration, Mohsina Muhammed Sherief

Theses

Hydrogen sulfide (H₂S) is a naturally occurring, highly toxic gas that is formed from the decomposition of sulfur compounds. At low concentrations, H₂S is an irritant for the eyes, respiratory and gastrointestinal tract. At higher H₂S concentrations, it produces neurological impairment with dizziness, headache, and loss of consciousness. Mortality was reported to reach 6 percent following exposure to elevated concentrations. H₂S is generated in different industrial processes. In wastewater collection and treatment plants, H₂S is a common source of concrete and metal corrosion that has resulted in huge economic loss. …