Digital Commons Network^™

Disturbance Triggers Non-Linear Microbe–Environment Feedbacks, Aditi Sengupta, Sarah J. Fansler, Rosalie K. Chu, Robert E. Danczak, Vanessa A. Garayburu-Caruso, Lupita Renteria, Hyun-Seob Song, Jason Toyoda, Jacqueline Wells, James C. Stegen

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Conceptual frameworks linking microbial community membership, properties, and processes with the environment and emergent function have been proposed but remain untested. Here we refine and test a recent conceptual framework using hyporheic zone sediments exposed to wetting–drying transitions. Our refined framework includes relationships between cumulative properties of a microbial community (e.g., microbial membership, community assembly properties, and biogeochemical rates), environmental features (e.g., organic matter thermodynamics), and emergent ecosystem function. Our primary aim was to evaluate the hypothesized relationships that comprise the conceptual framework and contrast outcomes from the whole and putatively active bacterial and archaeal communities. Throughout the system we …

Gum Arabic-Capped Silver Nanoparticles For Electrochemical Amplification Sensing Of Methylene Blue In River Water, Ziad Khalifa, Moustafa Zahran, Magdy Zahran, Magdi Abdelazzem

Chemical Engineering

Herein, a novel electrochemical amplification sensor is developed for detecting methylene blue (MB) us- ing gum Arabic-capped silver nanoparticles (AgNPs) for the first time. Gum Arabic-AgNPs were fabricated via a direct chemical reduction technique using silver nitrate as an AgNPs precursor and gum Arabic as a reducing and capping agent. They were characterized using ultraviolet-visible (UV–Vis) spectrophotom- etry, square wave voltammetry (SWV), and transmission electron microscopy (TEM). UV–Vis and SWV results show the characteristic absorption and electrochemical oxidation peaks of the AgNPs at 431 nm and 0.18 V, respectively. Additionally, TEM images of the AgNPs show that they are spherical …

Modeling Renal Function During Pregnancy, Christina A. Valtierra

REU Final Reports

The main goal of this research project is to build a computational model that illustrates the main processes in renal function during pregnancy. The analysis of how pregnancy affects all the factors that take place within the kidney will allow for a better understanding of how pathologies like proteinuria, hypertension, and glomerular endotheliosis develop. This model is a small part of a more complex model that showcases the complete pathophysiology of preeclampsia.

High-Spatial-Resolution Transcriptomic Map Of The Mouse Lymph Node Microenvironment Using Deterministic Barcoding, Archibald Enninful, Yang Liu, Rong Fan

The Yale Undergraduate Research Journal

Spatial transcriptomics is an emerging approach which characterizes gene expression profiles for a more nuanced understanding of biological processes at a tissue level. This offers significant advantages over traditional omics which require the digestion of tissues and subsequent isolation of cells, during which the spatial information is completely lost. Lymph nodes are an integral part of the immune system and an in-depth analysis of its spatial organization will provide useful insights which can be applicable in the development of novel immunotherapies. In this study, the mouse lymph node is characterized using the newly developed microfluidic-based approach, Deterministic Barcoding in Tissue …

Analytical Model For Electromagnetic Induction In Pulsating Ferrofluid Pipe Flows, Huiyu Wang, John G. Monroe, Swati Kumari, Serhiy O. Leontsev, Erick S. Vasquez, Scott M. Thompson, Matthew J. Berg, Dibbon Keith Walters, Keisha B. Walters

Chemical and Materials Engineering Faculty Publications

No abstract provided.

Using Artificial Neural Network And Fuzzy Inference System Based Prediction To Improve Failure Mode And Effects Analysis: A Case Study Of The Busbars Production, Saeed Na’Amnh, Muath Bani Salim, István Husti, Miklós Daróczi

Mechanical Engineering Faculty Publications and Presentations

Nowadays, Busbars have been extensively used in electrical vehicle industry. Therefore, improving the risk assessment for the production could help to screen the associated failure and take necessary actions to minimize the risk. In this research, a fuzzy inference system (FIS) and artificial neural network (ANN) were used to avoid the shortcomings of the classical method by creating new models for risk assessment with higher accuracy. A dataset includes 58 samples are used to create the models. Mamdani fuzzy model and ANN model were developed using MATLAB software. The results showed that the proposed models give a higher level of …

Silk Fibroin Supraparticles Created By The Evaporation Of Colloidal Ouzo Droplets, Ashley Lamb, Fengjie He, Shengjie Zhai, Hui Zhao

Mechanical Engineering Faculty Research

Due to its high biocompatibility and biodegradability, supraparticles made from silk fibroin—produced from Bombyx mori (B. mori) cocoons—can find various applications in biomedical fields. The evaporation of Ouzo droplets by not requiring energy nor a surfactant is an environmentally friendly, easy, and cost-effective strategy to fabricate three-dimensional supraparticles, tackling the so-called “coffee ring effect” associated with droplet evaporation. Silk fibroins are dissolved into quaternary droplets, comprised of ultrapure water, ethanol, trans-anethole oil, and formic acid. The Ouzo droplet is able to form an oil ring that facilitates the droplet contraction to create a three-dimensional supraparticle. Using the Ouzo effect to …

Optimization Of Corrugated Bulkhead Forms By Genetic Algorithm, Joe-Ming Yang, Cheng-Neng Hwang

Journal of Marine Science and Technology–Taiwan

In this research, the optimal design of corrugated bulkheads being used in ship structures is explored by means of the state-of-theart genetic algorithms. The influences of genetic parameters, such as population sizes, crossover probability and mutation probability, on the optimal design of corrugated bulkheads are carefully examined. An objective function defined for the cost of materials and labors is to be minimized to attain the least cost of panel production. The obtained optimal values of each design variable must satisfy the predescribed constraints and some restrictions on fabrication. The optimal values of minimum weight and minimum cost of a panel …

Acoustic Tweezer With Complex Boundary-Free Trapping And Transport Channel Controlled By Shadow Waveguides., Junfei Li, Chen Shen, Tony Jun Huang, Steven A Cummer

Henry M. Rowan College of Engineering Departmental Research

Acoustic tweezers use ultrasound for contact-free, bio-compatible, and precise manipulation of particles from millimeter to submicrometer scale. In microfluidics, acoustic tweezers typically use an array of sources to create standing wave patterns that can trap and move objects in ways constrained by the limited complexity of the acoustic wave field. Here, we demonstrate spatially complex particle trapping and manipulation inside a boundary-free chamber using a single pair of sources and an engineered structure outside the chamber that we call a shadow waveguide. The shadow waveguide creates a tightly confined, spatially complex acoustic field inside the chamber without requiring any interior …

Heteroacene-Based Amphiphile As A Molecular Scaffold For Bioimaging Probes, Tharindu A. Ranathunge, Mahesh Loku Yaddehige, Jordan H. Varma, Cameron Smith, Jay Nguyen, Iyanuoluwani Owolabi, Wojciech Kolodziejczyk, Nathan I. Hammer, Glake Hill, Alex Flynt, Davita L. Watkins

Faculty and Student Publications

The challenges faced with current fluorescence imaging agents have motivated us to study two nanostructures based on a hydrophobic dye, 6H-pyrrolo[3,2-b:4,5-b’]bis [1,4]benzothiazine (TRPZ). TRPZ is a heteroacene with a rigid, pi-conjugated structure, multiple reactive sites, and unique spectroscopic properties. Here we coupled TRPZ to a tert-butyl carbamate (BOC) protected 2,2-bis(hydroxymethyl)propanoic acid (bisMPA) dendron via azide-alkyne Huisgen cycloaddition. Deprotection of the protected amine groups on the dendron afforded a cationic terminated amphiphile, TRPZ-bisMPA. TRPZ-bisMPA was nanoprecipitated into water to obtain nanoparticles (NPs) with a hydrodynamic radius that was comparison, TRPZ-PG was encapsulated in pluronic-F127 (Mw = 12 kD), a polymer surfactant …

Continuous Myoelectric Prediction Of Future Ankle Angle And Moment Across Ambulation Conditions And Their Transitions, Erika V. Zabre-Gonzalez, Lara I. Riem, Philip A. Voglewede, Barbara Silver-Thorn, Sara R. Koehler-Mcnichols, Scott A. Beardsley

Biomedical Engineering Faculty Research and Publications

A hallmark of human locomotion is that it continuously adapts to changes in the environment and predictively adjusts to changes in the terrain, both of which are major challenges to lower limb amputees due to the limitations in prostheses and control algorithms. Here, the ability of a single-network nonlinear autoregressive model to continuously predict future ankle kinematics and kinetics simultaneously across ambulation conditions using lower limb surface electromyography (EMG) signals was examined. Ankle plantarflexor and dorsiflexor EMG from ten healthy young adults were mapped to normal ranges of ankle angle and ankle moment during level overground walking, stair ascent, and …

Characterization Of Application-Driven Sol-Gel Coated Meshes And Composites, Armaghan Naderi

LSU Doctoral Dissertations

Surface engineering is a multi-disciplinary research area that encompasses disciplines such as materials science, chemistry, mechanical engineering, and electrical engineering. Coating is a surface modification technique in surface engineering, applied on the surface of a substrate (i.e., bulk material), to cover/protect it from environmental degradation or to modify/improve surface properties for specific applications. This PhD research presents an in-depth investigation of sol-gel ceramic coatings to modify surface characteristics of bulk materials for two specific applications: 1) antistatic/antidust applications, and 2) biomaterial implant applications.

First, zirconia antistatic thin films on glass substrates, and their application to polymer-based composites, was studied. Zirconia …

Making Space For Social And Emotional Learning In Science Education, Erin Ingram, Kristie Reddick, Jessica M. Honaker, Gwen A. Pearson

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Social-emotional learning (SEL) is known to improve student outcomes but is rarely combined with STEM. In this paper we present an action research study to examine the impact of a STEM + SEL curriculum intervention to address a real-world school conflict. One hundred sixth–eighth graders and four teachers participated in an in-person facilitation of a SEL Arthropod curriculum, DIFFERENT. After the intervention, students completed open-ended couplet statements about arthropod behavior, tarantulas, and humans designed to measure sentiment change. Answers were manually coded using inductive coding on a scale of negative (1) to positive (5). Statement sentiments significantly shifted from negative …

Electrochemical Micro-Aptasensors For Exosome Detection Based On Hybridization Chain Reaction Amplification, Wenfen Zhang, Zhenhua Tian, Shujie Yang, Joseph Rich, Shuaiguo Zhao, Mikael Klingeborn, Po-Hsun Huang, Zhishang Li, Alexander Stout, Quinn Murphy, Edward Patz, Shusheng Zhang, Guozhen Liu, Tony Jun Huang

Faculty Publications

Exosomes are cell-derived nanovesicles that have recently gained popularity as potential biomarkers in liquid biopsies due to the large amounts of molecular cargo they carry, such as nucleic acids and proteins. However, most existing exosome-based analytical sensing methods struggle to achieve high sensitivity and high selectivity simultaneously. In this work, we present an electrochemical micro-aptasensor for the highly sensitive detection of exosomes by integrating a micropatterned electrochemical aptasensor and a hybridization chain reaction (HCR) signal amplification method. Specifically, exosomes are enriched on CD63 aptamer-functionalized electrodes and then recognized by HCR products with avidin-horseradish peroxidase (HRP) attached using EpCAM aptamers as …

Attack Transferability Against Information-Theoretic Feature Selection, S. Gupta, R. Golota, Gregory Ditzler

Henry M. Rowan College of Engineering Departmental Research

Machine learning (ML) is vital to many application-driven fields, such as image and signal classification, cyber-security, and health sciences. Unfortunately, many of these fields can easily have their training data tampered with by an adversary to thwart an ML algorithm’s objective. Further, the adversary can impact any stage in an ML pipeline (e.g., preprocessing, learning, and classification). Recent work has shown that many models can be attacked by poisoning the training data, and the impact of the poisoned data can be quite significant. Prior works on adversarial feature selection have shown that the attacks can damage feature selection (FS). Filter …

Extension Of A Gaseous Dry Deposition Algorithm To Oxidized Volatile Organic Compounds And Hydrogen Cyanide For Application In Chemistry Transport Models, Zhiyong Wu, Leiming Zhang, John T. Walker, Paul A. Makar, Judith Perlinger, Xuemei Wang

Michigan Tech Publications, Part 1

The dry deposition process refers to flux loss of an atmospheric pollutant due to uptake of the pollutant by the Earth's surfaces, including vegetation, underlying soil, and any other surface types. In chemistry transport models (CTMs), the dry deposition flux of a chemical species is typically calculated as the product of its surface layer concentration and its dry deposition velocity (Vd); the latter is a variable that needs to be highly empirically parameterized due to too many meteorological, biological, and chemical factors affecting this process. The gaseous dry deposition scheme of Zhang et al. (2003) parameterizes Vd for 31 inorganic …

Threshold Concentration And Random Collision Determine The Growth Of The Huntingtin Inclusion From A Stable Core, Sen Pei, Theresa C. Swayne, Jeffrey F. Morris, Lesley Emtage

Publications and Research

The processes underlying formation and growth of unfolded protein inclusions are relevant to neurodegenerative diseases but poorly characterized in living cells. In S. cerevisiae, inclusions formed by mutant huntingtin (mHtt) have some characteristics of biomolecular condensates but the physical nature and growth mechanisms of inclusion bodies remain unclear. We have probed the relationship between concentration and inclusion growth in vivo and find that growth of mHtt inclusions in living cells is triggered at a cytoplasmic threshold concentration, while reduction in cytoplasmic mHtt causes inclusions to shrink. The growth rate is consistent with incorporation of new material through collision and coalescence. …

Dilated Inception U-Net (Diu-Net) For Brain Tumor Segmentation, Daniel E. Cahall, Ghulam Rasool, Nidhal Carla Bouaynaya, Hassan M. Fathallah-Shaykh

Henry M. Rowan College of Engineering Departmental Research

Magnetic resonance imaging (MRI) is routinely used for brain tumor diagnosis, treatment planning, and post-treatment surveillance. Recently, various models based on deep neural networks have been proposed for the pixel-level segmentation of tumors in brain MRIs. However, the structural variations, spatial dissimilarities, and intensity inhomogeneity in MRIs make segmentation a challenging task. We propose a new end-to-end brain tumor segmentation architecture based on U-Net that integrates Inception modules and dilated convolutions into its contracting and expanding paths. This allows us to extract local structural as well as global contextual information. We performed segmentation of glioma sub-regions, including tumor core, enhancing …

Small Hall Effect Thruster With 3d Printed Discharge Channel: Design And Thrust Measurements, Ethan P. Hopping, Wensheng Huang, Kunning G. Xu

PRC-Affiliated Research

Citation: Hopping, E.P.; Huang, W.; Xu, K.G. Small Hall Effect Thruster with 3D Printed Discharge Channel: Design and Thrust Measurements. Aerospace 2021, 8, 227. https:// Abstract: This paper presents the design and performance of the UAH-78AM, a low-power small Hall effect thruster. The goal of this work is to assess the feasibility of using low-cost 3D printing to create functioning Hall thrusters, and study how 3D printing can expand the design space. The thruster features a 3D printed discharge channel with embedded propellant distributor. Multiple materials were tested including ABS, ULTEM, and glazed ceramic. Thrust measurements were obtained at the …

Small Hall Effect Thruster With 3d Printed Discharge Channel: Design And Thrust Measurements, Ethan P. Hopping, Wensheng Huang, Kunning G. Xu

PRC-Affiliated Research

Citation: Hopping, E.P.; Huang, W.; Xu, K.G. Small Hall Effect Thruster with 3D Printed Discharge Channel: Design and Thrust Measurements. Aerospace 2021, 8, 227. https:// Abstract: This paper presents the design and performance of the UAH-78AM, a low-power small Hall effect thruster. The goal of this work is to assess the feasibility of using low-cost 3D printing to create functioning Hall thrusters, and study how 3D printing can expand the design space. The thruster features a 3D printed discharge channel with embedded propellant distributor. Multiple materials were tested including ABS, ULTEM, and glazed ceramic. Thrust measurements were obtained at the …

Photoacoustic Imaging, Feature Extraction, And Machine Learning Implementation For Ovarian And Colorectal Cancer Diagnosis, Eghbal Amidi

McKelvey School of Engineering Graduate Student Theses & Dissertations

Among all cancers related to women’s reproductive systems, ovarian cancer has the highest mortality rate. Pelvic examination, transvaginal ultrasound (TVUS), and blood testing for cancer antigen 125 (CA-125), are the conventional screening tools for ovarian cancer, but they offer very low specificity. Other tools, such as magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET), also have limitations in detecting small lesions. In the USA, considering men and women separately, colorectal cancer is the third most common cause of death related to cancer; for men and women combined, it is the second leading cause of cancer deaths. …

Mechanisms For Osteoblast And Osteocyte Initiation And Sustainment Of Bone Formation In Young-Adult And Aged Mice, Taylor Lynn Harris

McKelvey School of Engineering Graduate Student Theses & Dissertations

The cellular mechanisms for loading-induced bone formation, from osteocyte mechano-sensation to osteoblast-directed bone formation, are not well understood. Elucidating these mechanisms and identifying any processes that are disrupted in aged mice can aide in the development of new anabolic drugs for treating diseases like osteoporosis. This thesis begins by investigating the genes expressed by osteocytes following loading at an early mechanosensitive (4-hr) timepoint, and later at a bone-forming (day 5) timepoint. We demonstrated increases in Ngf and Wnt1 in osteocyte-enriched intracortical bone by laser capture microdissection and microarray analysis. These results were important in demonstrating the presence of Ngf in …

Attachment Of Fibrous Materials In Nature And Surgical Repair, Ethan Daniel Hoppe

McKelvey School of Engineering Graduate Student Theses & Dissertations

Mother nature is the ultimate problem solver. Often by brute force and necessity for survival, the organism that has the best solution to a problem is the one to proliferate. One of these problems for which nature provides an elegant solution is the attachment of dissimilar materials. This dissertation explores the strengthening and relaxation of interactions between soft and hard materials, typically with one of the two being fibrous in character, with the goal of identifying strategies for improving the surgical reattachment of tendon to bone. The work begins with a study of the plant Harpagonella palmeri, which the dissertation …

Human Ipsc Tissue-Engineered Cartilage For Disease Modeling Of Skeletal Dysplasia-Causing Trpv4 Mutations, Amanda R. Dicks

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cartilage is essential to joint development and function. However, there is a variety of cartilage diseases, ranging from developmental (e.g., skeletal dysplasias) to degenerative (e.g., arthritis), in which treatments and therapeutics are lacking. For example, specific point mutations in the ion channel transient receptor potential vanilloid 4 (TRPV4) prevent proper joint development, leading to mild brachyolmia and severe, neonatally lethal metatropic dysplasia. Tissue-engineered cartilage offers an opportunity to elucidate the underlying mechanisms of these cartilage diseases for the development of treatments. Human induced pluripotent stem cells (hiPSCs) are an improved cell source option for cartilage tissue engineering given their minimal …

Flexible Electronics For Neurological Electronic Skin With Multiple Sensing Modalities, Haochuan Wan

McKelvey School of Engineering Graduate Student Theses & Dissertations

The evolution of electronic skin (E-skin) technology in the past decade has resulted in a great variety of flexible electronic devices that mimic the physical and chemical sensing properties of skin for applications in advanced robotics, prosthetics, and health monitoring technologies. The further advancement of E-skin technology demands closer imitation of skin receptors' transduction mechanisms, simultaneous detection of multiple information from different sources, and the study of transmission, processing and memory of the signals among the neurons. Motivated by such demands, this thesis focuses on design, fabrication, characterization of novel flexible electronic devices and integration of individual devices to realize …

Towards The Discovery Of Prognostic Biomarkers For Glioblastoma Using Resting-State Functional Connectivity, Andy G. S. Daniel

McKelvey School of Engineering Graduate Student Theses & Dissertations

Gliomas are highly diffusive, primary brain tumors. The most malignant form, glioblastoma, has a dismal survival rate: 14-17 months following the current standard of care, which consists of surgery, radiation, and chemotherapy. Insights into the molecular, cellular, and microenvironmental components of glioblastoma have revealed a vast array of factors utilized to support its proliferation, infiltration, and resistance to treatment. Recent advancements have also identified diagnostic and prognostic biomarkers that are now being used to guide treatment planning. However, survival has improved only marginally, thus emphasizing the continued need for novel biomarkers and treatment strategies. Given its delicate location in the …

Quantitative Flow Cytometry-Guided Protein Biomarker Characterization For Translational Proteomics And Precision Medicine, Yingye Fang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Angiogenesis, the growth of blood vessels from pre-existing vasculature, is primarily regulated by vascular endothelial growth factor receptors (VEGFRs). Dysregulated angiogenesis is associated with cancers, obesity, and over 70 vascular diseases. Upregulated VEGFR protein expressions in diseased vasculature are promising biomarkers for predicting clinical outcomes, as indicated by non-quantitative immunohistochemical studies in patients with impaired vascularization or tumor angiogenesis. While the quantitative characterization of VEGFRs is critical in identifying biomarkers for anti-angiogenic therapies, VEGFR biomarker development presents two particular challenges: (1) The invasive tissue biopsy needed limits the amount of VEGFR data that can be collected from both normal and …

A Neuromorphic Machine Learning Framework Based On The Growth Transform Dynamical System, Ahana Gangopadhyay

McKelvey School of Engineering Graduate Student Theses & Dissertations

As computation increasingly moves from the cloud to the source of data collection, there is a growing demand for specialized machine learning algorithms that can perform learning and inference at the edge in energy and resource-constrained environments. In this regard, we can take inspiration from small biological systems like insect brains that exhibit high energy-efficiency within a small form-factor, and show superior cognitive performance using fewer, coarser neural operations (action potentials or spikes) than the high-precision floating-point operations used in deep learning platforms. Attempts at bridging this gap using neuromorphic hardware has produced silicon brains that are orders of magnitude …

Long-Term Neural Activity Recorders Using Energy-Based Sensing, Compressive Computation And Data Logging, Darshit Mehta

McKelvey School of Engineering Graduate Student Theses & Dissertations

Insects are ideal candidates for developing bio-robotic systems owing to their ability to thrive in almost any environment. For example, neurons in their exquisite olfactory sensory systems can be tapped to create a sensing platform for standoff chemical monitoring. However, for enabling such cyborg systems, it is vital that the neural activity of a freely behaving organism can be measured for long periods of time. The current state-of-the-art neural recording techniques are power-intensive and they either need batteries, which make them too bulky for insects, or they have to maintain a continuous telemetry link to an external power source which …

Investigation Of Microdroplet Generation, Morphological Evolution, And Applications Under Quasi-Steady And Dynamic States, Li Shan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Microscale droplets are commonly encountered in the fields of materials processing, thermal fluids, and biology. While these droplets are naturally occurring, recent advances in microfabrication have enabled researchers to harness their enhanced transport characteristics for numerous laboratory and industrial applications from controlled chemical synthesis to inkjet printing and thermal management. Smaller droplets have larger specific surface area and a greater perimeter-to-area ratio when resting on a surface (i.e., sessile), which accelerates processes occurring at droplet surfaces like evaporation, chemical reaction, or combustion. The demand for microdroplets with smaller and more uniform sizes has motivated investigation of how such droplets can …