Digital Commons Network^™

Fate And Transport Of Per- And Polyfluoroalkyl Substances (Pfas) At Aqueous Film Forming Foam (Afff) Discharge Sites: A Review, Jeffery T. Mcgarr, Eric G. Mbonimpa, Drew C. Mcavoy, Mohamad R. Soltanian

Faculty Publications

Per- and polyfluorinated alkyl substances (PFAS) are an environmentally persistent group of chemicals that can pose an imminent threat to human health through groundwater and surface water contamination. In this review, we evaluate the subsurface behavior of a variety of PFAS chemicals with a focus on aqueous film forming foam (AFFF) discharge sites. AFFF is the primary PFAS contamination risk at sites such as airports and military bases due to use as a fire extinguisher. Understanding the fate and transport of PFAS in the subsurface environment is a multifaceted issue. This review focuses on the role of adsorbent, adsorbate, and …

Streambank Erosion Phenomena And Understanding: Current Research And Future Directions, Celso Castro-Bolinaga, Aaron R. Mittelstet, Kyle Mankin

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Streams are in dynamic equilibrium with their environments, and as that environment is altered by human development and changing climate, streambank erosion is a common, but little understood, result. This article highlights the contributions of the special collection “Streambank Erosion, Sediment Dynamics, and Restoration (SER),” which assembled six studies that represent key advances in streambank erosion research, highlight current research in the field, and identify directions for future research. The studies in this special collection were grouped into three central themes: (1) streambank erosion monitoring, (2) streambank erodibility characterization, and (3) streambank erosion loading. In this article, key findings within …

Morphogenetic Engineering Of Synthetic Protocell Systems, Qinyu Zhu

Theses and Dissertations

Observing and studying how life forms behave, i.e., their movement, adaptability, and so on, have enabled human beings to develop new technologies or optimize existing ones. One of the more noticeable phenomena in Nature is morphogenesis. Morphogenetic processes exist in different stages of biological development, from cellular division to tissue and organ formation. It is easy to observe shape development during mophogenesis due to emerging imaging techniques. However, it is hard to understand this process due to its complex organization, and the morphogenetic responses can be induced by a variety of chemicals or mechanical stresses and are subject to the …

Treatability Study Of Car Wash Wastewater Using Upgraded Physical Technique With Sustainable Flocculant, Mai Fayed, M. A. Shewitah, R. Ryan Dupont, Mohamed Fayed, Mai M. Badr

Civil and Environmental Engineering Faculty Publications

Grease, oil, hydrocarbon residues, heavy metals, and surfactants are all present in car wash wastewater (CWW), which all can have detrimental effects on the environment and human health. This study was designed to assess CWW treatment using an upgraded physical technique combined with a range of conventional and more sustainable coagulants. Physical treatment effectively lowered the oil and grease (O&G) and chemical oxygen demand (COD) of the CWW by 79 ± 15% and 97 ± 1.6%, respectively. Additional treatment was provided using chemical coagulation–flocculation– settling. In jar test studies, humic acid (HA) and alum were found to provide significantly higher …

Model-Assisted Online Optimization Of Gain-Scheduled Pid Control Using Nsga-Ii Iterative Genetic Algorithm, Shen Qu, Tianyi He, Guoming Zhu

Mechanical and Aerospace Engineering Faculty Publications

In the practical control of nonlinear valve systems, PID control, as a model-free method, continues to play a crucial role thanks to its simple structure and performance-oriented tuning process. To improve the control performance, advanced gain-scheduling methods are used to schedule the PID control gains based on the operating conditions and/or tracking error. However, determining the scheduled gain is a major challenge, as PID control gains need to be determined at each operating condition. In this paper, a model-assisted online optimization method is proposed based on the modified Non-Dominated Sorting Genetic Algorithms-II (NSGA-II) to obtain the optimal gain-scheduled PID controller. …

Meeting The Psychological Needs Of Astronauts In The Flourishing Human Spaceflight Frontier: The Case For Astronaut-Trained Psychologists, Skylar Jordan Laham

Doctoral Dissertations and Projects

Space psychology (i.e., astronaut psychological counseling and support) has remained largely unchanged since the onset of long-duration low-Earth-orbit (LEO) human spaceflight missions, with teletherapy utilized as the primary means of psychotherapy delivery. However, with NASA’s plans to establish a permanent human presence on the Moon, the suitability of teletherapy – as well as astronaut-trained psychologists, an alternative space psychology method suggested for human spaceflight beyond LEO – must be ascertained. The aim of this novel space psychology investigation was to identify and compare the effectiveness of three astronaut psychotherapy treatment conditions (i.e., teletherapy with a 2 second Earth to LEO …

Threshold Microsecond Pulsed Electric Field Exposures For Change In Spinach Quality, Zachary Rosensweig, Abigail Martin, Colin Hackett, Jerrick Garcia, Gary L. Thompson Iii

Henry M. Rowan College of Engineering Departmental Research

Pulsed electric fields (PEFs) are often used to pretreat foods to enhance subsequent processes, such as drying, where maintaining food product quality is important for consumer satisfaction. This study aims to establish a threshold PEF exposure to determine the doses at which electroporation is viable for use on spinach leaves, wherein integrity is maintained postexposure. Three numbers of consecutive pulses (1, 5, 50) and two pulse durations (10 and 100 μs) have been examined herein at a constant pulse repetition of 10 Hz and 1.4 kV/cm field strength. The data indicate that pore formation in itself is not a cause …

Exploring The Intersection Of Biology And Design For Product Innovations, Ajay P. Malshe, Salil Bapat, Kamlakar Rajurkar, Ang Ang, Jean-Marc Linares

Department of Mechanical and Materials Engineering: Faculty Publications

Design, development, productization, and applications of advanced product concepts are pressing for higher multifunctionality, resilience, and maximization of available resources equitably to meet the growing and continuing demands of global customers. These demands have further accelerated during the recent COVID- 19 pandemic and are continuing to be a challenge. Engineering designs are one of the most effective ways to endow products with functions, resilience, and sustainability. Biology, through millions of years of evolution, has met these acute requirements under severe resource and environmental constraints. As the manufacturing of products is reaching the fundamental limits of raw materials, labor, and resource …

Experimental Investigation Of Various Energy-Absorbing Layer Materials And Sodium Alginate Viscosities On The Jet Formation In Laser-Induced-Forward-Transfer (Lift) Bioprinting, Shuqi Zhou, Chaoran Dou, Jianzhi Li, Qiqi Zhang, Qilin Dai, Ben Xu

Manufacturing & Industrial Engineering Faculty Publications

Laser-induced-forward-transfer (LIFT) bioprinting technology has been viewed as a regenerative medicine technology because of its high printing quality and good cell viability. To stabilize the jet to achieve high-quality printing, an energy-absorbing layer (EAL) can be introduced. In this study, three materials (graphene, gelatin, and gold) were utilized as the EAL. The effect of each EAL on the jet generation process was investigated. Besides, the effect of graphene EAL thickness was addressed for various experimental conditions. The jet generation process using sodium alginate solutions with different concentrations (1 and 2 wt. %) was also discussed to investigate the effect of …

Overcoming Barriers: An Assessment Of Rose-Hulman's Circular Economy Education And Opportunities, Haiden Smith

Graduate Theses - Engineering Management

This project aims to investigate the current knowledge of Rose-Hulman students in the areas of circular economy and circular design. Also, to gauge the inclusion of these concepts in current Rose-Hulman education and how students perceive their value. The selected population is Rose- Hulman students, and an online questionnaire was used to collect responses from a sample of 328 students. Statistical analysis software and hypothesis testing discovered that less than 25% of the Rose-Hulman population knows circular economy and circular design concepts. Furthermore, current education only briefly covers circular design methodologies and does not provide students with the capabilities to …

Development Of A Modular Agricultural Robotic Sprayer, Paolo Rommel P. Sanchez

Theses and Dissertations

Precision Agriculture (PA) increases farm productivity, reduces pollution, and minimizes input costs. However, the wide adoption of existing PA technologies for complex field operations, such as spraying, is slow due to high acquisition costs, low adaptability, and slow operating speed. In this study, we designed, built, optimized, and tested a Modular Agrochemical Precision Sprayer (MAPS), a robotic sprayer with an intelligent machine vision system (MVS). Our work focused on identifying and spraying on the targeted plants with low cost, high speed, and high accuracy in a remote, dynamic, and rugged environment. We first researched and benchmarked combinations of one-stage convolutional …

Novel Microfluidic Devices To Model The Interactions Between Lymphatics And Breast Cancer, Jade Weber

McKelvey School of Engineering Graduate Student Theses & Dissertations

The lymphatic system is responsible for immune circulation and fluid balance in the body. It accomplishes this by draining interstitial fluid from local tissue and transferring it to lymph nodes and back into blood circulation. However, this process is implicated in many pathologies, one of the most dangerous being breast cancer metastasis to the lymph nodes. The largest factor in breast cancer patient mortality is metastasis. Lymphangiogenesis, the growth of new lymphatic vessels, has been thought to play a dynamic role in aiding breast cancer metastasis. Breast cancer tumor cells have been shown to remodel the functionality of local lymph …

A Study On Image Processing Techniques And Deep Learning Techniques For Insect Identification, Vinita Abhishek Gupta, M.V. Padmavati, Ravi R. Saxena, Pawan Kumar Patnaik, Raunak Kumar Tamrakar

Karbala International Journal of Modern Science

Automatic identification of insects and diseases has attracted researchers for the last few years. Researchers have suggested several algorithms to get around the problems of manually identifying insects and pests. Image processing techniques and deep convolution neural networks can overcome the challenges of manual insect identification and classification. This work focused on optimizing and assessing deep convolutional neural networks for insect identification. AlexNet, MobileNetv2, ResNet-50, ResNet-101, GoogleNet, InceptionV3, SqueezeNet, ShuffleNet, DenseNet201, VGG-16 and VGG-19 are the architectures evaluated on three different datasets. In our experiments, DenseNet 201 performed well with the highest test accuracy. Regarding training time, AlexNet performed well, …

Waste Recycling: Waste To Energy System, Basheer Abdulrazzak Ghani, Nadhim Mejbil Faleh

Al-Bahir

The current economic growth trend of increased urbanization has resulted in huge amounts of municipal waste and energy consumption. Many emerging countries, such as Iraq, suffer from the worsening of such a problem. Thus, an adequate municipal waste management system and the innovation of renewable energy alternatives are the fundamental issues that need to be addressed. Two test rigs were used in this study: the first separates waste based on the principle of gravity and the difference in density between the constituent elements of the waste, The test rig consists of a conveyor belt (0.5 meter) width and (1.5 meter) …

Reinforcement Learning And Place Cell Replay In Spatial Navigation, Chance Hamilton, Pablo Scleidorovich Phd, Alfredo Weitzenfeld Phd

Florida Conference on Recent Advances in Robotics

In the last decade, studies have demonstrated that hippocampal place cells influence rats’ navigational learning ability. Moreover, researchers have observed that place cell sequences associated with routes leading to a reward are reactivated during rest periods. This phenomenon is known as Hippocampal Replay, which is thought to aid navigational learning and memory consolidation. These findings in neuroscience have inspired new robot navigation models that emulate the learning process of mammals. This study presents a novel model that encodes path information using place cell connections formed during online navigation. Our model employs these connections to generate sequences of
state-action pairs to …

Biologically Inspired Multi-Robot System Based On Wolf Hunting Behavior, Zachary Hinnen, Chance Hamilton, Alfredo Weitzenfeld

Florida Conference on Recent Advances in Robotics

Studies involving the group predator behavior of wolves have inspired multiple robotic architectures to mimic these biological behaviors in their designs and research. In this work, we aim to use robotic systems to mimic wolf packs' single and group behavior. This work aims to extend the original research by Weitzenfeld et al [7] and evaluate under a new multi-robot robot system architecture. The multiple robot architecture includes a 'Prey' pursued by a wolf pack consisting of an 'Alpha' and 'Beta' robotic group. The Alpha Wolf' will be the group leader, searching and tracking the 'Prey.' At the same time, the …

Effective Nanomembranes From Chitosan/Pva Blend Decorated Graphene Oxide With Gum Rosin And Silver Nanoparticles For Removal Of Heavy Metals And Microbes From Water Resources, Mohamed Morsy

Nanotechnology Research Centre

No abstract provided.

Extracellular-Vesicle-Based Therapeutics In Neuro-Ophthalmic Disorders, Hamed Massoumi, Sohil Amin, Mohammad Soleimani, Bita Momenaei, Mohammad Javad Ashraf, Victor H Guaiquil, Peiman Hematti, Mark I Rosenblatt, Ali R Djalilian, Elmira Jalilian

Wills Eye Hospital Papers

Extracellular vesicles (EVs) have been recognized as promising candidates for developing novel therapeutics for a wide range of pathologies, including ocular disorders, due to their ability to deliver a diverse array of bioactive molecules, including proteins, lipids, and nucleic acids, to recipient cells. Recent studies have shown that EVs derived from various cell types, including mesenchymal stromal cells (MSCs), retinal pigment epithelium cells, and endothelial cells, have therapeutic potential in ocular disorders, such as corneal injury and diabetic retinopathy. EVs exert their effects through various mechanisms, including promoting cell survival, reducing inflammation, and inducing tissue regeneration. Furthermore, EVs have shown …

Selecting The Optimal Formwork System For Horizontal Elements, Alaa Allam, Emad Elbeltagi, Mohamed Naguib Abouelsaad, Mohamed E. El Madawy

Mansoura Engineering Journal

Various types of formworks are available in the market for construction of cast-in-place concrete structures. Formwork has a significant impact on both construction time and cost. As such, decision making on the optimal formwork system is difficult and timeconsuming for designers or planners particularly for high-rise buildings, where any reduction in the cost of single-story formwork significantly decrease total construction cost. Formworks must be designed effectively as numerous accidents have happened as a result of poor design decisions. This article presents a Genetic Algorithm optimization model to select the optimal formwork system among Cuplock, Shore brace and Props systems that …

Exploring Machine Learning In Deep Foundation And Soil Classification Application, Mohammad Moontakim Shoaib

LSU Master's Theses

The applicability of several Machine Learning (ML) models was explored in this research to predict the ultimate capacity and load-settlement behavior of axially loaded single-driven piles from Cone Penetration Test (CPT) data. Additionally, a common CPT-based soil behavior type (SBT) classification system was reproduced using those ML models. Eighty static pile load tests and corresponding CPT data close to those pile locations were collected from 34 sites in Louisiana for the deep foundation application. On the other hand, 70 CPT soundings were taken in 14 different parishes across Louisiana for the soil classification application. Specifically, tree-based ML models such as …

High-Throughput Phenotyping Of Plant Leaf Morphological, Physiological, And Biochemical Traits On Multiple Scales Using Optical Sensing, Huichun Zhang, Lu Wang, Xiuliang Jin, Liming Bian, Yufeng Ge

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Acquisition of plant phenotypic information facilitates plant breeding, sheds light on gene action, and can be applied to optimize the quality of agricultural and forestry products. Because leaves often show the fastest responses to external environmental stimuli, leaf phenotypic traits are indicators of plant growth, health, and stress levels. Combination of new imaging sensors, image processing, and data analytics permits measurement over the full life span of plants at high temporal resolution and at several organizational levels from organs to individual plants to field populations of plants. We review the optical sensors and associated data analytics used for measuring morphological, …

Reflectance Quantitative Polarized Light Imaging For Microstructural Evaluation Of Musculoskeletal Soft Tissues, Leanne Elizabeth Iannucci

McKelvey School of Engineering Graduate Student Theses & Dissertations

Musculoskeletal soft tissue injury is common and can lead to debilitating pain, loss of tissue function, and overall decrease in quality of life. Proper biomechanical function of musculoskeletal soft tissues is dictated by their hierarchically organized collagenous extracellular matrices, which are disrupted in periods of disease or injury. To best understand dynamic structure-function relationships of these tissues in normal and pathological conditions, it is imperative to be able to visualize collagen microstructure using a quantitative, high spatiotemporal resolution imaging modality. The innate birefringence associated with collagen fibers permits the use of biomedical polarimetry techniques to probe collagen in a specific …

Single-Molecule Super-Resolution Imaging Of Geobacter Sulfurreducens Under Anaerobic Conditions, Ziyi Hu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Geobacter sulfurreducens are anaerobic bacteria capable of making electrical contacts with other organisms and extracellular electron acceptors. The challenge of imaging live Geobacter bacteria is maintaining anaerobic conditions during the imaging process. In this thesis, we augment a single-molecule localization microscope (SMLM) with a home-built anaerobic imaging chamber and use constant argon bubbling to maintain oxygen-free imaging conditions. To validate the imaging protocol, we use the transient binding of Nile red to resolve the spherical morphology of lipid-coated glass spheres with nanoscale resolution. However, when imaging Geobacter, the distribution of Nile red localizations is non-uniform, both between different cells …

Pathformer: Interpretable And Powerful Graph Transformer For Gene Network Analysis, Qihang Zhao, Zehao Dong, Muhan Zhang, Philip Payne, Michael Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li

McKelvey School of Engineering Graduate Student Theses & Dissertations

Understanding which gene/pathway expression profiles are related to specific disease phenotypes has been a critical active research area in Bioinformatics. Although graph neural networks (GNNs) have achieved impressive performance on various graph-based real-world applications such as recommendation systems and social network analysis, applying GNNs in gene-network-based Bioinformatical tasks is still challenging due to the effectiveness issue and lack of interpretation methods. In this paper, we propose PathFormer, an interpretable graph Transformer (i.e. GNN), to effectively analyze gene networks and discover meaningful biomarkers/pathways. PathFormer is composed of a stack of PathFormer encoder layers and two subsequent interpretation machines. The PathFormer encoder …

Development Of A Multispectral Vis-Swir Imaging Modality For Cutaneous Water Assessment, Quinlan Mcgrath

McKelvey School of Engineering Graduate Student Theses & Dissertations

Inflammatory skin diseases are estimated to impact 20% of the global population and are the fourth leading cause of nonfatal disability worldwide. Diagnosis and management are predominantly based on clinician visual assessment of disease related changes in skin morphology. The qualitative nature of this method can result in misdiagnosis and underdiagnoses of treatable diseases. There persists systematic undertreatment of skin of color patients given the more subtle presentation of erythema against pigmented skin. There exists a clinical need for a quantitative and objective inflammation assessment tool that meets the needs of a diverse patient population. The accumulation of interstitial fluid …

Piezoelectric And Conductive Polymer Based Flexible Devices Enabling Cardiovascular Health Sensing And Energy Harvesting, Andrew Closson

Dartmouth College Ph.D Dissertations

Piezoelectric materials show great promise for low-power wearable and implantable sensing, but their rigidity makes it challenging to integrate them with biological tissue. To address this, researchers have started exploring polymer-based functional materials that offer flexibility and are suitable for interfacing with the human body. However, these materials are still in their early stages, and a framework is necessary to illustrate how these materials, in conjunction with novel fabrication techniques and device designs, can enable the development of multi-functional sensing and energy harvesting devices.

This thesis utilizes highly scalable fabrication methods for functional polymers to build and test a flexible …

The Efficacy Of Conservation Practices In Reducing Floods And Improving Water Quality, Shivendra Srivastava, Andrea D. Basche, Elbert Traylor, Tirthankar Roy

Department of Civil and Environmental Engineering: Faculty Publications

Conservation practices such as crop rotation, filter strips, and constructed wetlands are nature-based approaches intended to safeguard natural resources in agricultural landscapes. In this study, we reviewed the literature on how conservation practices, both at watershed and field scales, have been proven to subdue flood peaks, surface runoff, soil erosion, sediment transport, and nutrient loss. We classified different conservation practices based on the mode of their application (i.e., in-field, edge-of-field, and structural practices) and described what prior research efforts have concluded about the efficacy of different practices. At the field scale, practices such as reduced or no-till farming, grassed waterways, …

Evaluating The Potential Of Geopolymer Concrete As A Sustainable Alternative For Thin White-Topping Pavement, Sathvik S. Chandra, Pshtiwan Shakor, Sarwar Mohmmad, Bankole O. Awuzie, Atul K. Singh, Abishek Rauniyar, M Karakouzian

Civil and Environmental Engineering and Construction Faculty Research

Introduction:

The construction industry uses a large quantity of natural materials in the production of concrete. Although attempts to incorporate green materials in concrete began years ago, not every building uses such materials today, and roadways, particularly, still rely on unsustainable materials.

Methods:

Therefore, this study used alternative materials, including fly ash, manufactured sand aggregates, and different molarities of alkaline activators, to incorporate waste byproducts in a geopolymer concrete white-topping pavement layer. Recent developments have led to the emergence of geopolymers as distinct classes of materials. In the 1990s, fly ash-based geopolymers became more popular than other kinds, as they …

Dual Color Optogenetic Control For Analyzing Cardiac Function In Drosophila, Jiantao Zhu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Prolonged consumption of carbohydrate-rich diets and immobile lifestyles frequently cause metabolic disorders and obesity and, as a result, may lead to progressive heart dysfunction among broad social groups of the population. Drosophila melanogaster serves as an essential model organism in cardiovascular disease research due to conserved physiological and genomic traits shared with humans, its genetic and molecular toolbox versatility, and cost-effective maintenance. Here, we combine optogenetics and optical coherence tomography to study cardiovascular function in D. melanogaster. A new optogenetic pacing system has been developed, employing a transgenic line carrying two opsins: ChR2 and NpHR2.0. A custom-built hardware setup …

A Novel Mrna Delivery Strategy Employing Adenovirus Piggyback Mrna Binders Via Catcher/Tag Molecular Glue, Kexin Geng

McKelvey School of Engineering Graduate Student Theses & Dissertations

mRNA-based therapeutics open a new era for the prevention and treatment of a wide range of diseases. However, existing mRNA delivery vehicles have limited repertoires for dendritic cell targeting and intranasal administration which are two paramount delivery pathways of significant advantages for treating cancer and infectious respiratory diseases. Adenovirus (Ad) with well-deciphered viral genomes and intensive-studied structure biology has been developed for DCs-targeted cancer vaccines and intranasal COVID vaccines. In light of these virtues, Ad presents as the “off-the-shelf” tool possessing well-defined manufacturable capabilities and translatable feasibility that perfectly complements the current limitations of mRNA delivery. In this study, we …