Digital Commons Network^™

Functional Complementation Of The Ppgcn4 And Ppnhx2 Genes In Arabidopsis Thaliana To Study Salt Tolerance, Amanda Moravek

Fall Student Research Symposium 2020

Climate change induces unexpected weather and causes abiotic and biotic stresses in plants. These stresses negatively affect crop growth and production. Additionally, a steady increase in the world population has been leading to higher food demand. Therefore, the development of more stress-resilient crops is essential to combat these problems. One such stress is a salinity that affects crop production. Almond is a salt-sensitive crop, so there is a need to identify salt-tolerant almond rootstocks. AtGCN4 is a novel gene that was identified in Arabidopsis thaliana to play a significant role in host-pathogen interaction and drought tolerance when overexpressed. The preliminary …

Dogs In Ancient Egypt, Ella Olson

Fall Student Research Symposium 2020

The Ancient Egyptians are infamous for their love of cats, but what about dogs? It turns out that dogs were equally loved and praised in Egyptian culture. A large part of this comes from the religious significance of dogs- they are connected to the afterlife through Anubis, the god of the dead, and were thought to act as companions and guides to humans in the afterlife. Anubis is an interesting god to look at because he's one of the oldest and most respected gods. In today's terms, we refer to him as having a jackal head, but the Egyptians considered …

Framework For Water Management In The Food-Energy-Water (Few) Nexus In Mixed Land-Use Watersheds In Colombia, Camilo Torres, Margaret Gitau, Jaime Lara-Borrero, Diego Paredes-Cuervo

Purdue University Libraries Open Access Publishing Fund

The food-energy-water (FEW) nexus approach has emerged as an alternative for managing these resources more efficiently. Work from studies conducted in the FEW nexus in Latin America is scarce in the scholarly literature. This study aims to develop a framework for water management at the FEW Nexus, with a focus on Colombia. The study focuses on a typical mixed land-use watershed in the Andean region with specific objectives being to: (1) characterize the watershed with respect to land use, climate, water resources, and other factors pertinent to the nexus; (2) explore the relationship between factors in the FEW nexus that …

Policy Changes Impact In Deforestation Of The Brazilian Amazon, Iara Silva Jaques

Master's Projects and Capstones

Since discovered and inhabited, the Brazilian Amazon has been explored and impacted negatively by human activities. The conversion of forest to pastureland and farmland, as well as mining activities, road opening, wood and ore extraction and fire are historically the main causes of environmental damages and forest loss in the region. This project overviewed the latest changes in environmental policy and practices towards environmental protection conducted by the Brazilian president Jair Bolsonaro, since he took office in 2019, and analyzed the progress of deforestation in the recent years under the new federal administration. Geographic Information System analysis were used to …

Understanding The Role Of Atom Trapping In The Evolution Of Hydrocarbon Transformation Catalyst Morphology, Griffin Alexander Canning

Chemistry and Chemical Biology ETDs

Converting alkanes to other, more chemically and economically valuable molecules requires catalysts that can survive elevated temperatures and highly reducing environments. These environments can cause many metal-nanoparticle based catalysts to sinter rapidly, causing a loss of activity. They must also tolerate the coke formation, as well, since coke can restrict access to active sites by gas phase molecules, thus lowering catalytic activity. While there are routes to improve both the sinter and coke resistance of catalysts, an alternative strategy is to develop a protocol for regenerating the activity of the catalyst in question when coke formation or sintering becomes problematic. …

Reinforcement Learning Approach For Inspect/Correct Tasks, Hoda Nasereddin

LSU Doctoral Dissertations

In this research, we focus on the application of reinforcement learning (RL) in automated agent tasks involving considerable target variability (i.e., characterized by stochastic distributions); in particular, learning of inspect/correct tasks. Examples include automated identification & correction of rivet failures in airplane maintenance procedures, and automated cleaning of surgical instruments in a hospital sterilization processing department. The location of defects and the corrective action to be taken for each varies from task episode. What needs to be learned are optimal stochastic strategies rather than optimization of any one single defect type and location. RL has been widely applied in robotics …

Vessel Trajectory Prediction Using Historical Ais Data, Jagir Laxmichand Charla

Dissertations and Theses

Maritime vessel position coordinates are important information for maritime situational planning and organization. A better estimate of future locations of the maritime vessels, from their current locations, can help maritime authorities to make planned decisions, which can be helpful to avoid traffic congestion and longer waiting times. This thesis develops a method for estimating future locations of the vessels using their current and previous locations and other data.

The motivating scenario for this work is that of determining the future locations of the vessels based on their current location and previous locations for accurate modelling of underwater acoustic noise. As …

Optimization Of Electron Beam-Deposited Silver Nanoparticles On Zinc Oxide For Maximally Surface Enhanced Raman Spectroscopy, Andrew L. Cook, Christopher P. Haycook, Andrea K. Locke, Richard R. Mu, Todd D. Giorgio

TIGER Institute Faculty Research

Surface enhanced Raman spectroscopy enables robust, rapid analysis on highly dilute samples. To be useful, the technique needs sensing substrates that will enhance intrinsically weak Raman signals of trace analytes. In particular, three-dimensional substrates such as zinc oxide nanowires decorated with electron-beam deposited silver nanoparticles are easily fabricated and serve the dual need of structural stability and detection sensitivity. However, little has been done to optimize electron beam-deposited silver nanoparticles for maximal surface enhancement in the unique dielectric environment of the zinc oxide substrate. Herein, fabrication and anneal parameters of electron beam-deposited silver nanoparticles were examined for the purpose of …

Machine Learning Based Applications For Data Visualization, Modeling, Control, And Optimization For Chemical And Biological Systems, Yan Ma

LSU Doctoral Dissertations

This dissertation report covers Yan Ma’s Ph.D. research with applicational studies of machine learning in manufacturing and biological systems. The research work mainly focuses on reaction modeling, optimization, and control using a deep learning-based approaches, and the work mainly concentrates on deep reinforcement learning (DRL). Yan Ma’s research also involves with data mining with bioinformatics. Large-scale data obtained in RNA-seq is analyzed using non-linear dimensionality reduction with Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP), followed by clustering analysis using k-Means and Hierarchical Density-Based Spatial Clustering with Noise (HDBSCAN). This report focuses …

Survey On Deep Neural Networks In Speech And Vision Systems, M. Alam, Manar D. Samad, Lasitha Vidyaratne, ‪Alexander Glandon, Khan M. Iftekharuddin

Computer Science Faculty Research

This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in speech and vision applications. Recent advances in deep artificial neural network algorithms and architectures have spurred rapid innovation and development of intelligent speech and vision systems. With availability of vast amounts of sensor data and cloud computing for processing and training of deep neural networks, and with increased sophistication in mobile and embedded technology, the next-generation intelligent systems are poised to revolutionize personal and commercial computing. This survey begins by providing background and evolution of some of the most successful deep learning models for intelligent …

Suffix Tree, Minwise Hashing And Streaming Algorithms For Big Data Analysis In Bioinformatics, Sairam Behera

School of Computing: Dissertations, Theses, and Student Research

In this dissertation, we worked on several algorithmic problems in bioinformatics using mainly three approaches: (a) a streaming model, (b) sux-tree based indexing, and (c) minwise-hashing (minhash) and locality-sensitive hashing (LSH). The streaming models are useful for large data problems where a good approximation needs to be achieved with limited space usage. We developed an approximation algorithm (Kmer-Estimate) using the streaming approach to obtain a better estimation of the frequency of k-mer counts. A k-mer, a subsequence of length k, plays an important role in many bioinformatics analyses such as genome distance estimation. We also developed new methods that use …

Bio-Binder—Innovative Asphalt Technology, Amir Tabakovic

Articles

The global road network spans 16.3 million km [1], of which 5 million km is in the EU. These road networks fulfil major economic and social goals by facilitating the movement of goods and people throughout the EU, and are therefore of the utmost importance to the economic and social life of the EU [2]. National governments invest heavily in their road networks, e.g., in 2014, EUR 53.33 billion was invested in the development and maintenance of the EU road network [3]. Each year, the world produces 1.6 trillion tonnes of asphalt [4], of which 218 million tonnes is produced …

2020 - The First Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2020 Symposium of Student Scholars, held on December 3, 2020. Includes abstracts from the presentations and posters.

Literature Review: Global Neonicotinoid Insecticide Occurrence In Aquatic Environments, Josephus F. Borsuah, Tiffany L. Messer, Daniel D. Snow, Steve D. Comfort, Aaron R. Mittelstet

Biosystems and Agricultural Engineering Faculty Publications

Neonicotinoids have been the most commonly used insecticides since the early 1990s. Despite their efficacy in improving crop protection and management, these agrochemicals have gained recent attention for their negative impacts on non-target species such as honeybees and aquatic invertebrates. In recent years, neonicotinoids have been detected in rivers and streams across the world. Determining and predicting the exposure potential of neonicotinoids in surface water requires a thorough understanding of their fate and transport mechanisms. Therefore, our objective was to provide a comprehensive review of neonicotinoids with a focus on their fate and transport mechanisms to and within surface waters …

Bibliometric Analysis Of The Literature In The Field Of Information Technology Relatedness, Ilham M, Anis Eliyana, Praptini Yulianti

Library Philosophy and Practice (e-journal)

This bibliometric describe Information Technology Relateness is defined as the use of information technology infrastructure and information technology management processes betweeWas this submission previously published in a journal? Bepress will automatically create an OpenURL for published articles. Learn more about OpenURLsn business units together. There is not much research on Information Technology Relateness by providing a big picture that is visualized from year to year. This study aims to map research in the field of Information Technology Relateness with data from all international research publications. This study performs a bibliometric method and analyzes research data using the Services Analyze …

Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System, Chen Xu, Mohammed Z. Shakil

Publications and Research

Diffuse Optical Tomography (DOT) and Optical Spectroscopy using near-infrared (NIR) diffused light has demonstrated great potential for the initial diagnosis of tumors and in the assessment of tumor vasculature response to neoadjuvant chemotherapy. The aims of this project are 1) to test the different types of LEDs in the near-infrared range, and design the driving circuit, and test the modulation of LEDs at different frequencies; 2) to test the APDs as a detector, and build the receiver system and compare efficiency with pre-built systems. In this project, we are focusing on creating a low-cost infrared transmission system for tumor and …

Subsystem Identification Of Feedback And Feedforward Systems With Time Delay, S. Alireza Seyyed Mousavi, Xingye Zhang, Thomas M. Seigler, Jesse B. Hoagg

Mechanical Engineering Faculty Publications

We present an algorithm for identifying discrete-time feedback-and-feedforward subsystems with time delay that are interconnected in closed loop with a known subsystem. This frequency-domain algorithm uses only measured input and output data from a closed-loop discrete-time system, which is single input and single output. No internal signals are assumed to be measured. The orders of the unknown feedback and feedforward transfer functions are assumed to be known. We use a two-candidate-pool multi-convex-optimization approach to identify not only the feedback and feedforward transfer functions but also the feedback and feedforward time delay. The algorithm guarantees asymptotic stability of the identified closed-loop …

A One‐Dimensional Model For Turbulent Mixing In The Benthic Biolayer Of Stream And Coastal Sediments, Stanley B. Grant, Jesus D. Gomez‐Velez, Marco Ghisalberti, Ian Guymer, Fulvio Boano, Kevin Roche, Judson Harvey

Civil Engineering Faculty Publications and Presentations

In this paper, we develop and validate a rigorous modeling framework, based on Duhamel's Theorem, for the unsteady one‐dimensional vertical transport of a solute across a flat sediment‐water interface (SWI) and through the benthic biolayer of a turbulent stream. The modeling framework is novel in capturing the two‐way coupling between evolving solute concentrations above and below the SWI and in allowing for a depth‐varying diffusivity. Three diffusivity profiles within the sediment (constant, exponentially decaying, and a hybrid model) are evaluated against an extensive set of previously published laboratory measurements of turbulent mass transfer across the SWI. The exponential diffusivity profile …

Adhesion And Deformation Mechanisms Of Polydopamine And Polytetrafluoroethylene: A Multiscale Computational Study, Matthew Brownell

Graduate Theses and Dissertations

Polydopamine (PDA) has been shown to bond via covalent bonding, van der Waals forces, and hydrogen bonding and is known to adhere strongly to almost any material. The application of PDA between a substrate and a PTFE surface coating has resulted in low friction and a greatly reduced wear rate. Previous research probing the capabilities and limitations of PDA/PTFE films have studied the wear and mechanical properties of the film, but the overall adhesive and deformation mechanisms remain unclear.

In this research, we investigate the tribological properties of PDA and PTFE molecules and composites from the atomic to the microscale …

Leveraging Biomimicry And Additive Manufacturing To Improve Load Transfer In Brittle Materials, Ana Paula Bernardo

Graduate Theses and Dissertations

With the emergence of Additive Manufacturing (i.e., 3D printing) in construction, new strategically designed shapes can be created to improve load transfer through structural members and foundations. Cross-sections can be optimized to carry load using less material, or even using weaker constituent materials, like soils, which are cheap and abundant. The goal of this research is to investigate the benefits of using cellular patterns which leverage biomimicry in civil engineering applications, since nature has perfectly engineered materials and patterns which carry loads with the least amount of material possible. Most of the periodic cellular work to date has focused on …

Moisture Monitoring Of A Clt Structure In A Southern Climate, Elizabeth Poblete

Graduate Theses and Dissertations

Understanding of moisture behavior in cross laminated timber (CLT) is critical to the widespread use of CLT in construction in the United States. Currently, very little data exists on the long-term impact of moisture on CLT. The objective of this research is to collect data regarding the long-term moisture variation in the CLT panel at the University of Arkansas Adohi Hall residence hall. The climate of Northwest Arkansas is different from previously monitored buildings, as they were in the Pacific Northwest. Comparatively, Northwest Arkansas has a warmer climate with higher average annual precipitation. Waterproofing efforts are usually employed to prevent …

Nanoscale Mechanics Of Disordered Biomolecules In Brain, Md Ishak Khan

Mechanical and Aerospace Engineering Dissertations - Archive

The long-term objective of this dissertation is to link blast-induced traumatic brain injury (TBI) with multiscale, multiphysics damage evolution in the brain using experimentally verifiable computations and simulations. The short-term goal is to conduct modeling and simulation to correlate dynamic mechanical loading to damage in sub-axonal components. It is known that the interior of the brain at the macroscale (10^-1 m) is composed of two distinct components, the grey matter, and the white matter. Within the cortex, the grey matter primarily takes the form of cortical columns (mesoscale: 10^-3 m), which are six layered structures, each composed of 8-10 thousand …

Synthesis And In Vivo Biomedical Applications Of Ultrasmall Metal Nanoparticles, Shahab Ranjbar Bahadori

Material Science and Engineering Dissertations - Archive

Over the past decade, metal-based nanoparticles (MNPs) have gained much popularity in the field of nanomedicine owing to their exceptional physiochemical properties. Easy surface functionalization and conjugation with therapeutic moieties, stability, inertness, and inherent anticancer activities make MNPs promising diagnostic and therapeutic agents. Among different sizes of MNPs, which greatly affect their biodistribution and clearance, ultrasmall metal nanoparticles with the size less than 5 nm demonstrate unique pharmacokinetic properties, making them suitable for nanomedicinal applications. Therefore, many efforts have been made to synthesize various kinds of ultrasmall metal nanoparticles. In this study, a revolutionary synthesis method, termed as liquid diffusion …

Development Of Functional Materials And Devices On Flexible Platforms Using Additive Print Manufacturing Processes For Biomedical And Environmental Applications, Dinesh Maddipatla

Dissertations

In recent years, considerable research has been vested into the development of printed electronics (PE) to explore the best ways of fabricating electronic devices on flexible platforms using additive print manufacturing processes. PE produces flexible devices that are compatible with complex geometries, foldable applications and conformal to curved surfaces, with a promising potential for large‐area device fabrication at relatively lower manufacturing costs. This dissertation focuses majorly on the design and fabrication of novel flexible functional materials and devices for biomedical and environmental applications using additive printing processes.

Initially, a simple paper-based low cost and rapid prototypable platform with oxygen sensors …

Ergonomics Modelling And Evaluation Of Automobile Seat Comfort, Prithvi Tilwani

Manipal Journal of Science and Technology

The driver’s seat is a vital element in any car, but it is also a sophisticated system with several parts, adjustments, and safety features. A poorly built driving seat has an impact on the driver’s health and mental state. The three important goals for any driver seat are the safety of the driver, comfort, and health. Despite the availability of several technologies, the car seating sector has had little success in quantifying comfort. Iteration’s time and cost may be justified if the procedure was assured to result in a comfortable seat. This study emphasizes the value of using the overall …

3d Cell Culture: Techniques, Applications In Healthcare, And Future Challenges, Mukunthan K S

Manipal Journal of Science and Technology

Two-dimensional (2D) cell cultures have been the most commonly used technique since cell culture was first introduced. However, these cultures do not accurately represent animal physiology as many factors that play an important role in the growth of animal cells are overlooked. Three-dimensional (3D) cell culture techniques provide higher accuracy in recreating the microenvironment of native tissues. But, 2D cell culture techniques are still preferred for the majority of animal cell cultures as these are well established and relatively inexpensive. Various techniques have been developed for 3D cell culture but these systems are highly complex as the number of parameters …

Current And Projected Water Reuse For Irrigation In Utah, R. Ryan Dupont, Joan E. Mclean, Randal S. Martin, Courtney Flint, L. Niel Allen, Jennifer L. Weidhaas

Reports

Reuse of treated wastewater for irrigation in some cases can help meet increasing agriculture and urban water demands in Utah. The last report describing existing and potential reuse efforts in Utah was in 2005 (Utah Division of Water Resources, 2005). This report provides information on existing and proposed water reuse and perceptions among water providers and users regarding the use of reclaimed wastewater. Wastewater reuse is one of many practices to conserve water and improve water quality. In a broad sense, water reuse occurs by downstream users, but in some cases, deliberate strategic reuse of water is undertaken to provide …

Autonomous Landing Of Quadrotor On A Moving Ugv With The Optimal Control Policies, Suhas Priyatham Manda

Electrical Engineering Theses - Archive

This thesis proposes an offline method that uses an integral reinforcement learning (IRL) technique along with the system identification to determine the optimal control of a system with completely unknown dynamics. Unmanned aerial vehicles (UAV) that are particularly deployed to track and land on an arbitrarily moving unmanned ground vehicles (UGV), demand a high performance controller to perform precise tracking. One way of designing an optimal tracking controller is developing linear quadratic integrators (LQI) with a quadratic type of cost function that solves Riccati equation. However, this approach requires prior knowledge of the linearized UAV system dynamics. We overcome this …

Gurethyesit Dhe Ndikimi I Tyre Ne Mjedis, Valmir Hazrolli

Theses and Dissertations

Edhe pse guroret dhe industritë e gurit përfaqësojnë një sektor të rëndësishëm industrial në Kosovë për sa i përket prodhimit dhe eksportet dhe duke përmirësuar kështu situatën ekonomike, këto operacione kanë ndikim të kundërt në mjedis dhe në njerëz shëndetin. Studimi i tanishëm zbuloi se grimcat e imëta (pluhuri) të prodhuara si rezultat i aktiviteteve të ndryshme që lidhen me të këto industri i shkaktojnë disa probleme mjedisit dhe njerëzve që jetojnë në zonë. Matjet e cilësisë së ajrit treguan se përqendrime të larta të grimcave të ndryshme janë në zonën e studimit. Në këtë drejtim, shumica e njerëzve konfirmuan …

Understanding The Effects Of Long-Duration Spaceflight On Fracture Risk In The Human Femur Using Finite Element Analysis, Keyanna Brielle Henderson

Master's Theses

Long-duration spaceflight has been shown to have significant, lasting effects on the bone strength of astronauts and to contribute to age-related complications later in life. The microgravity environment of space causes a decrease in daily mechanical loading, which signals a state of disuse to bone cells. This affects the bone remodeling process, which is responsible for maintaining bone mass, causing an increase in damage and a decrease in density. This leads to bone fragility and decreases overall strength, posing a risk for fracture. However, there is little information pertaining to the timeline of bone loss and subsequent fracture risk.

This …