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Simulations Of Morphology Control Of Self-Assembled Amphiphilic Surfactants, Qinyu Zhu, Douglas R. Tree

Faculty Publications

One of the grand challenges of amphiphilic self-assembly is the design of ordered structures whose morphology or shape can be explicitly and dynamically controlled by adjusting the properties of the amphiphiles or their surroundings. Such a capacity would enable researchers to create synthetic systems with functionality that meets or exceeds biological cells, and provide a robust platform for a broad range of engineering applications such as artificial tissues, drug delivery, and separation membranes. Despite significant progress, important fundamental questions remain unanswered, due in part to the limited resolution and the restricted parameter spaces that are readily accessible in experiments. Computational …

Control Education For Societal-Scale Challenges: A Community Roadmap, John Anthony Rossiter, Christos G. Cassandras, João Hespanha, Sebastian Dormido, Luis De La Torre, Gireeja Ranade, Antonio Visioli, John Hedengren, Richard M. Murray, Panos Antsaklis, Francoise Lamnabhi-Lagarrigue, Thomas Parisini

Faculty Publications

This article focuses on extending, disseminating and interpreting the findings of an IEEE Control Systems Society working group looking at the role of control theory and engineering in solving some of the many current and future societal challenges. The findings are interpreted in a manner designed to give focus and direction to both future education and research work in the general control theory and engineering arena, interpreted in the broadest sense. The paper is intended to promote discussion in the community and also provide a useful starting point for colleagues wishing to re-imagine the design and delivery of control-related topics …

Synergistic Effect Of Temperature And Acid Catalyst To Enhance L-Ald, Prabhsimran Singh

USF Tampa Graduate Theses and Dissertations

Liquid Atomic layer deposition (LALD) is an emergent technology used for depositing thin films. Extensive research has been done on this method, designing different techniques and modifications for the deposition of films. Wastage of alkoxide precursors, extra purging cycle, and extensive time for the reaction when added stoichiometrically are some of the drawbacks which shift the focus from metal alkoxide as precursors. In this thesis, modifications for the L-ALD method for the complete reaction of alkoxide precursors when added stoichiometrically were achieved. Temperature and catalyst’s synergistic effects were utilized for the modification. This modified method was applied for the doping …

A Data-Driven Multivariate Process Monitoring Platform For Knowledge Discovery And Model Building In Industrial Applications, Estelle E. Seghers

LSU Master's Theses

In industrial chemical manufacturing processes, the amount of raw data generated can add complexity in the analysis and understanding of the process dynamics. Being able to properly interpret this data can help improve plant operation, especially regarding safety and profitability. This research has culminated in FastMan-JMP, a platform proposed for monitoring of industrial processes and optimization of the offline data-driven model-building process as part of the process monitoring workflow. FastMan-JMP is a tool developed in Python to apply various data mining and machine learning techniques quickly and easily to better understand valuable patterns and hidden trends in process data. One …

Simulations Of Morphology Control Of Self-Assembled Amphiphilic Surfactants, Qinyu Zhu, Douglas R. Tree

Faculty Publications

One of the grand challenges of amphiphilic self-assembly is the design of ordered structures whose morphology or shape can be explicitly and dynamically controlled by adjusting the properties of the amphiphiles or their surroundings. Such a capacity would enable researchers to create synthetic systems with functionality that meets or exceeds biological cells, and provide a robust platform for a broad range of engineering applications such as artificial tissues, drug delivery, and separation membranes. Despite significant progress, important fundamental questions remain unanswered, due in part to the limited resolution and the restricted parameter spaces that are readily accessible in experiments. Computational …

Application Of Convergent Science And Technology Toward Ocular Disease Treatment, Ayca Bal-Ozturk, Ece Ozcan-Bulbul, Hazal Ezgi Gultekin, Berivan Cecen, Ebru Demir, Atefeh Zarepout, Sibel Cetinel, Ali Zarrabi

Henry M. Rowan College of Engineering Departmental Research

Eyes are one of the main critical organs of the body that provide our brain with the most information about the surrounding environment. Disturbance in the activity of this informational organ, resulting from different ocular diseases, could affect the quality of life, so finding appropriate methods for treating ocular disease has attracted lots of attention. This is especially due to the ineffectiveness of the conventional therapeutic method to deliver drugs into the interior parts of the eye, and the also presence of barriers such as tear film, blood-ocular, and blood-retina barriers. Recently, some novel techniques, such as different types of …

Eeg Classifier Validation Methods For Neuroprosthetic Hand Development, Keigo Yamauchi

USF Tampa Graduate Theses and Dissertations

To date, many challenges have been reported in the development of neuroprosthetic hands using EEG and neural signals. In this study, we report the results of a literature review on Brain Computer Interface (BCI) technology, an investigation of estimation methods using applications in MATLAB, and the results of Electroencephalography (EEG) classification to assist in the development of neural prosthetic hands using biological signals such as EEG. Confusion Matrix was created using Motor Imagery (MI) data as the predictive value, and the average accuracy of more than 90% was obtained for the K-Nearest Neighbor (KNN) and decision tree method. The results …

Concentrating E. Coli At Initial Low Concentrations By Centrifugation With Phosphate Buffered Saline, Plasma, And Simulated Blood Suspensions, Sarah Williams

Undergraduate Honors Theses

The rapid diagnosis of blood stream infections (BSIs) is limited by the low concentration of bacteria in the blood. Currently, culturing of blood samples is used to increase the concentration of bacteria before the type of bacteria and the best antibiotic to treat the infection can be identified. However, the culturing of blood samples takes tens of hours, and therefore concentrating the bacteria from blood without growth will allow for quicker analysis and is crucial to saving lives. This thesis explored the means of concentrating E. coli suspensions in phosphate buffered saline (PBS), plasma, and simulated blood by centrifuging the …

Modeling Leachate Treatment Processes In Adsorbent-Amended Hybrid Constructed Wetland, Ishfaqun Nisa

USF Tampa Graduate Theses and Dissertations

Due to their efficiency in removing ammonia nitrogen, Constructed Wetlands (CW) are currently considered a very useful method for on-site leachate treatment. In recent years, the use of adsorbent media in CWs, such as zeolite and biochar, to improve pollutant removal efficiency has been explored and these studies indicate that incorporating zeolite can improve the nitrification process, while the addition of biochar can enhance the denitrification process and the removal of organic compounds. However, studies on mechanistic/process models simulating performance of adsorbent-amended CWs for treating landfill leachate are limited. This study presents simulation results for both unamended and adsorbent-amended hybrid …

Remote Medical Diagnosis Via Infrared Thermography And Augmented Reality, Frederick M. Selkey

USF Tampa Graduate Theses and Dissertations

Fast, accurate, and non-invasive diagnostic techniques are required by the medical industry to increase the success of medical treatments and enhance the quality of patient care. Medical IRT has been demonstrated reasonably effective at diagnosing and monitoring several physiological conditions. Diversities in the human body, physical and psychological condition, measurement equipment, and environment all influence the sensitive readings obtained by passive IR measurement devices. New standards for medical IRT and fever screening have been demonstrated effective, but there is limited adherence to the guidelines [36]. Absolute temperature readings require regular calibration checks and can easily be thrown off by noise. …

Hydraulic Modeling And Environmental Flows To Inform Ecological Models, Aubrey E. Harris

Civil Engineering ETDs

The widespread availability of high-quality terrain and long-term hydrologic monitoring data has increased opportunities in hydraulic modeling to support regional planning and decision-making. Hydraulic modeling is already a prevalent tool in riverine construction design for issues like flood control and erosion protection. Despite hydraulic models also being relevant for characterizing habitat conditions, the use of hydraulic modeling for ecological assessment has been fragmented in scale and application. The state of the science presents multiple ways to identify environmental flow criteria and hydraulic estimation of habitat areas. However, it has been challenging to combine these approaches as a parsimonious and effective …

Field-Base Exploratory Study Of Microbial Activity In Eight Potable Water Storage Tanks In Barbados, Katelyn M. Long

USF Tampa Graduate Theses and Dissertations

There have been many initiatives to combat the global phenomenon of water scarcity. Potable water storage tanks have become widely known among water insecure countries and communities to provide adequate water quantity and quality for consumer use. Despite ubiquitous use in many low- and middle-income communities (LMIC), knowledge of microbial activity inside potable water storage tanks is limited. Barbados is a Small Island Developing State (SIDS), labeled as a high income country, and also water scarce. The Barbados Water Authority (BWA) has adapted potable water storage tanks for hundreds of residents as a solution to water quantity and water quality …

A Simulation Study Of Surfactant/Foam Processes In Shallow Subsurface Remediation: Using Foams For Mobility Control Vs. Blockage, Betty Cepeda

LSU Master's Theses

Many shallow ex-situ and in-situ remediation treatments come from the contamination of underground soils and groundwater sources by organic hydrocarbon components called non-aqueous phase liquids (NAPLs). These contaminants, if leaking, can impose long-term threats causing environmental and health concerns. One of the versatile in-situ remediation techniques is using surfactant/foam processes that can overcome subsurface heterogeneity and improve NAPL removal.

This simulation study investigates surfactant/foam processes, especially focusing on two different roles of foams during the treatment: foams for “mobility control” vs. foams for “blocking”. The first is based on the actual operations carried out in the pilot-test site for 23 …

Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)

Library Philosophy and Practice (e-journal)

Abstract

Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …

Finite Element Modeling Of Meniscal Tears Using Continuum Damage Mechanics And Digital Image Correlation, Derek Q. Nesbitt, Dylan E. Burruel, Bradley S. Henderson, Trevor J. Lujan

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Meniscal tears are a common, painful, and debilitating knee injury with limited treatment options. Computational models that predict meniscal tears may help advance injury prevention and repair, but first these models must be validated using experimental data. Here we simulated meniscal tears with finite element analysis using continuum damage mechanics (CDM) in a transversely isotropic hyperelastic material. Finite element models were built to recreate the coupon geometry and loading conditions of forty uniaxial tensile experiments of human meniscus that were pulled to failure either parallel or perpendicular to the preferred fiber orientation. Two damage criteria were evaluated for all experiments: …

Process Automation And Robotics Engineering For Industrial Processing Systems, Drake Stimpson

USF Tampa Graduate Theses and Dissertations

Automation in industrial systems applications has emerged as the fundamental solution for improving quality, production rate, and efficiency of a process. Much of the recent popularity surrounding the transition of processes from manually operated tasks to automated systems can be attributed to the concept of Industry 4.0, which outlines the fundamental guidelines for integrating cyber-physical systems into industrial processes. Due to rapid advancement of technology in robotics and automation as well as the increase in accessibility of resources to this technology, the capability to develop automated systems has become feasible for small-scale enterprise. This work presents a two-part initiative to …

Sources Of Atmospheric Dust Deposition On Utah Lake, Justin Telfer

Theses and Dissertations

Atmospheric deposition (AD) is a significant source of nutrient loading to waterbodies around the world. However, the sources and loading rates are poorly understood for major waterbodies and even less understood for local waterbodies. Utah Lake is a eutrophic lake located in central Utah, USA, and has high nutrient levels. Recent research has identified AD as significant sources for nutrient loading to the lake to better understand the dust AD sources, we sampled suspected source locations and collected deposition samples around the lake. We analyzed these samples using Inductively Coupled Plasma (ICP) for 25 metals to characterize their elemental fingerprints. …

Molecular And Cellular Level Characterization Of Cytoskeletal Mechanics Using A Quartz Crystal Microbalance, Emily M. Kerivan, Lyle Tobin, Mihir Basil, Dana N. Reinemann

Faculty and Student Publications

A quartz crystal microbalance (QCM) is an instrument that has the ability to measure nanogram-level changes in mass on a quartz sensor and is traditionally used to probe surface interactions and assembly kinetics of synthetic systems. The addition of dissipation monitoring (QCM-D) facilitates the study of viscoelastic systems, such as those relevant to molecular and cellular mechanics. Due to real-time recording of frequency and dissipation changes and single protein-level precision, the QCM-D is effective in interrogating the viscoelastic properties of cell surfaces and in vitro cellular components. However, few studies focus on the application of this instrument to cytoskeletal systems, …

Raman Spectroscopy - An Analytical Tool For Biologics, Cindy Mayorga, Shreya Milind Athalye, Mohit Verma

Graduate Industrial Research Symposium

Raman Spectroscopy (RS) is a non-invasive technique that analyses biomolecules qualitatively and quantitatively. Raman spectroscopy measures the inelastic scattering of light due to molecular vibrations. It can be applied to liquid, solid, or semi-solid forms of the biological sample reducing the sample preparation measures. The minimal sample preparation and non-invasive nature of Raman Spectroscopy can be applied in developing a Process analytical technology (PAT) tool and as a diagnostic tool. We demonstrated qualitative and quantitative measurements of biologics with Raman spectroscopy through our previous studies. Our results indicate that RS distinguishes various Gram-positive and Gram-negative bacteria, fungi, and a mixture …

Design Of A Virtual Lab For Plate Heat Exchanger Sterilization System, Daniel N. Hauersperger

Graduate Industrial Research Symposium

Online learning has become a staple in contemporary education, requiring new ways to display and promote experiences. Virtual labs can be used to give learners a way to enter a lab environment without the need for expensive equipment or materials. One example is to give students a “hands-on” experience using a sterilization process to preserve biological materials. Sterilization systems incorporate heat exchangers to bring product up to temperature and then cool product down quickly to prevent excess degradation of nutrients. Data generated from virtual labs will allow learners to use the system responses and build their understanding of how the …

Sea-Phages Course-Based Undergraduate Research Experience For Creating A Biotechnology Workforce Development Pipeline, Daphne Fauber, Kari Clase, Carol Weaver

Graduate Industrial Research Symposium

Purdue University has been a member of the SEA-PHAGES (Science Education Alliance-Phage Hunters Advancing Genomics and Evolutionary Science) program since 2011. This program, created in conjunction with the Howard Hughes Medical Institute (HHMI), facilitates undergraduate curriculum for the authentic discovery of novel bacteriophages within the classroom. Since joining the program, undergraduates at Purdue have harnessed wet lab and bioinformatics principles to contribute over 200 previously uncharacterized bacteriophages and 25 novel genomes to the wider scientific literature. The SEA-PHAGES classes at Purdue have resulted in tangible professional deliverables for students through conference presentations and publications. Student outcomes also include transferable skills …

Comprehensive Microenvironment Monitoring For The Productivity And Welfare Of Sows And Piglets, Jun Ho Kim

Graduate Industrial Research Symposium

The world is facing increasing food demand and climate change. To improve piglet survivability and sow welfare through microenvironment management using precision technology, a USDA sponsored research project started in 2021 and is ongoing. A comprehensive yet low-cost system was designed and developed for continuous and real-time microenvironment monitoring in three rooms of Farrowing Building #1 at the Animal Sciences Research and Education Center, Purdue University. The system consists of two gas analyzers and 103 different sensors, including sensors in a weather station. The first trial of the project was conducted from Jan. 13 to Feb. 8, 2023, when the …

The Next-Gen Crop Nutrient Stress Identification With High-Precision Sensing Technology In Digital Agriculture, Zhihang Song, Ziling Chen, Xing Wei, Jian Jin

Graduate Industrial Research Symposium

Crop yields are facing significant losses from nutrient deficiencies. Over-fertilizing also has negative economic and environmental impacts. It is challenging to optimize fertilizing without an accurate diagnosis. Recently, plant phenotyping has demonstrated outstanding capabilities in estimating crop traits. As one of the leading technologies, LeafSpec, provides high-quality crop image data for improving phenotyping quality. In this study, novel algorithms are developed for LeafSpec to identify crop nutrient deficiencies more accurately. Combined with UAV system, this technology will bring growers a robust solution for fertilizing diagnosis and scientific crop management.

An Intervention To Promote Growth Mindset And Stem Self-Efficacy Of High School Students: Exploring The Complexity Of Beliefs, Amy Kramer, Emily Dringenberg, Carter Morris, Darcy Mccarthy

Journal of Pre-College Engineering Education Research (J-PEER)

The marginalization of women in engineering is a persistent problem. The overall goal of our collaborative project was to promote interest and participation in science, technology, engineering, and mathematics (STEM), particularly for high school girls. We took an action research approach with a local high school science teacher to develop, implement, and research the impact of a classroom-based intervention designed to encourage growth mindset and STEM self-efficacy beliefs using mixed methods. We analyzed pre- and postsurvey data collected using a control-treatment design to determine the impact of the intervention on high school boys’ and girls’ self-efficacy and mindset beliefs. We …

Zero Torque Compliant Mechanisms Employing Pre-Buckled Beams, Pietro Bilancia, Samuel Porter Smith, Giovanni Berselli, Spencer P. Magleby, Larry L. Howell

Faculty Publications

The concept of a statically balanced mechanism with a single rotational degree of freedom is presented. The proposed device achieves static balancing by combining positive stiff- ness elements and negative stiffness elements within a nuclear domain. Two designs are discussed. The first is composed of an Archimedean spiral and two pinned-pinned pre-buckled beams. The overall mechanism is modeled via an analytical approach and the element dimensions are optimized. The optimal configuration is then tested through finite element analysis (FEA). A second approach replaces the spiral beam with elastic custom-shaped spline beams. An FEA optimization is performed to determine the shape …

Deep Learning Methods For Prediction Of And Escape From Protein Recognition, Bowen Dai

Dartmouth College Ph.D Dissertations

Protein interactions drive diverse processes essential to living organisms, and thus numerous biomedical applications center on understanding, predicting, and designing how proteins recognize their partners. While unfortunately the number of interactions of interest still vastly exceeds the capabilities of experimental determination methods, computational methods promise to fill the gap. My thesis pursues the development and application of computational methods for several protein interaction prediction and design tasks. First, to improve protein-glycan interaction specificity prediction, I developed GlyBERT, which learns biologically relevant glycan representations encapsulating the components most important for glycan recognition within their structures. GlyBERT encodes glycans with a branched …

Rehabilitation Technologies To Abate Infiltration In Sanitary Sewers, Steve Youssef

USF Tampa Graduate Theses and Dissertations

In urban coastal environments, sewer infrastructure is plagued by infiltration which seeps into aging and compromised pipes. Infiltration increases pumping costs, reduces treatment efficiency, and may trigger release of partially treated wastewater at water reclamation facilities. To restore pipes and abate infiltration, local utilities rely on structural and non-structural trenchless rehabilitation technologies. These methods are commonly used throughout the United States and the world due to their numerous benefits compared to traditional open-cut construction. However, limited data is available regarding their efficacy in reducing infiltration in sewer systems. In this study, we analysed infiltration in a small urban sewershed in …

Reflect To Connect, Sophia Rae Guzules

Liberal Arts and Engineering Studies

Engineering statics is an important course and a prerequisite for many subsequent courses for many engineering majors. It is often students’ first exposure to technical engineering sciences. Most statics concepts are addressed in ways disconnected from students’ prior experiences and interests. Utility Value Interventions (UVIs) have been employed in fields like biology and chemistry to help students connect concepts in class and their lives outside the classroom. However, UVI usage in engineering so far has been limited. In this Senior Project paper, I will describe the process that the team Critical Research in Engineering and Technology Education (CREATE) and I …

The Afit Engineer, Volume 5, Issue 1, Graduate School Of Engineering And Management, Air Force Institute Of Technology

AFIT Documents

In this issue:

• 2023 Graduation
• WMD research at AFIT
• NOAA aerosol research at AFIT
• AFIT Model Shop

Pan-Arctic Soil Moisture Control On Tundra Carbon Sequestration And Plant Productivity, Donatella Zona, Peter M. Lafleur, Koen Hufkens, Beniamino Gioli, Barbara Bailey, George Burba, Eugénie S. Euskirchen, Jennifer D. Watts, Kyle A. Arndt, Mary Farina, John S. Kimball, Martin Heimann, Mathias Göckede, Martijn Pallandt, Torben R. Christensen, Mikhail Mastepanov, Efrén López-Blanco, Albertus J. Dolman, Roisin Commane, Charles E. Miller, Josh Hashemi, Lars Kutzbach, David Holl, Julia Boike, Christian Wille, Torsten Sachs, Aram Kalhori, Elyn R. Humphreys, Oliver Sonnentag, Gesa Meyer, Gabriel H. Gosselin, Philip Marsh, Walter C. Oechel

Daugherty Water for Food Global Institute: Faculty Publications

Long-term atmospheric CO₂ concentration records have suggested a reduction in the positive effect of warming on high-latitude carbon uptake since the 1990s. A variety of mechanisms have been proposed to explain the reduced net carbon sink of northern ecosystems with increased air temperature, including water stress on vegetation and increased respiration over recent decades. However, the lack of consistent long-term carbon flux and in situ soil moisture data has severely limited our ability to identify the mechanisms responsible for the recent reduced carbon sink strength. In this study, we used a record of nearly 100 site-years of eddy covariance …