Digital Commons Network^™

Bio-Payload Senior Design Report, Connor Bishop, Oliver Goodall, Marcus Kirk, Gabby Robles, Anish Shanmuganathan

Interdisciplinary Design Senior Theses

This project focuses on the design and development of an autonomous experimental platform capable of conducting cellular biology experiments in a well plate within a CubeSat environment. The system integrates microfluidics, robotics, and onboard sensors to remotely initiate experiments, monitor them, and collect data without human intervention. The objective is to create a platform for automated biological experimentation in microgravity, while reducing reliance on ground-based control and increasing mission efficiency and reproducibility. The team used Saccharomyces cerevisiae to assess the biocompatibility of the well plate and monitor changes in cell culture, including optical density and cell viability.

Plant-Mediated Green Synthesis Of Zinc Ferrite Nanoparticles: Mechanisms, Properties, And Advanced Applications In Environmental And Biomedical Fields, Rihab Jabbar

Al-Bahir

Recently, plant-mediated green synthesis has emerged as a sustainable, eco-friendly, and cost-effective strategy for synthesizing zinc ferrite (ZnFe₂O₄) nanoparticles (NPs). This review critically examines the advancements in biosynthesizing ZnFe₂O₄ NPs using various plant extracts, including Aloe vera, Hibiscus rosa-sinensis, Aegle marmelos, Eucalyptus leaves, Tragacanth gum, Piper nigrum, and Moringa oleifera, among others. It emphasizes their dual role as reducing, capping, chelating, and stabilizing agents. The article extensively compares physicochemical properties of the green-synthesized NPs in terms of crystallite size, morphology, magnetic behavior, and band gap energy. Achieved through different synthesis routes such as sol-gel, hydrothermal, co-precipitation, and microwave-assisted methods. …

Recombinant Gelonin: Purification And Functional Validation For Electroporation-Assisted Delivery, Eleni Zivla, Giedrė Šilkūnienė, Andrei G. Pakhomov, Mantas Šilkūnas, Olga N. Pakhomova

Knowledge and Creativity Expo

Type I ribosome-inactivating proteins, such as gelonin, are enzymatically potent toxins but are effectively non-toxic under physiological conditions because they are unable to cross the plasma membrane[1]. Pulsed electric fields (PEF) overcome this delivery barrier by transiently permeabilizing the plasma membrane, allowing direct cytosolic entry. This enhances gelonin cytotoxicity by several thousand-fold, highlighting gelonin’s potential as an electrochemotherapy candidate[2]. Here, we present a recombinant gelonin (rGel) expression platform in E. coli with HPLC-based purification that enables reproducible protein production and structure-guided engineering.

The mature gelonin sequence (residues 47–297) was cloned into pET-32a(+) with an N-terminally fused Trx-6×His tag and TEV …

On The Extreme Complexity Of Certain Nearly Regular Graphs, Gregory P. Constantine, Gregory C. Magda

Theory & Applications of Graphs

The complexity of a graph is the number of its labeled spanning trees. It is demonstrated that the seven known triangle-free strongly regular graphs are graphs of maximal complexity among all graphs of the same order and degree; their complements are shown to be of minimal complexity. A generalization to nearly regular graphs with two distinct eigenvalues of the Laplacian is presented. Conjectures and applications of these results to biological problems on neuronal activity are described.

Emergent Operator Logic: A Foundational Framework For Dynamic Reasoning And Generative Intelligence, Mona Gharib, Abduallah Gamal, Muhammad Nawaz, Basma Nasir

Neutrosophic Systems with Applications

This paper introduces Emergent Operator Logic (EOL), a framework that treats propositions as continuous operators $F_p:X \rightarrow X$ on a complete metric state space $( X,d )$ and evaluates truth after action via a continuous valuation $V:X \rightarrow [ 0,1 ]$. Logical composition is realized by three operator-level connectives: sequential $p \circ q$(causal order), parallel $p\parallel q$(1-Lipschitz cooperative blend), and the emergent synthesis $E( p,q ) = \frac12( F_p \circ F_q + F_q \circ F_p )$, which symmetrizes non-commuting actions. We provide a Hilbert-style proof system (sound), an algebraic semantics via E-algebras, and show that the category of E-algebras is …

Application Of Microbial Fuel Cells For Leachate Bioremediation: The Effects Of Nutrient Nourishment, Umi Sholikah, Fidela Chosta, Tegar Palyus Fiqar, Eka Masrifatus Anifah, Riza Hudayarizka, Tadashi Hibino

Makara Journal of Science

Leachate contains a high organic content, which can cause environmental pollution. The organic content in leachate can be removed through bioremediation using microbial fuel cell (MFC) systems to remediate pollutants and generate bioelectricity. Organic matter is important to the MFC process as both a substrate and a nutrient source. This study investigated the effects of glucose and sodium phosphate buffer nourishment on BOD, COD, and TSS removal and bioelectricity generation. This study used leachate as a substrate and a graphite rod with a surface area of about 32.98 cm² as an electrode. The reactor uses plastic blocks with a …

An Interpretable Hybrid Deep And Reinforcement Learning Paradigm For Glioma Prognosis, Renuga Devi M Ms

Theses and Dissertations

Brain tumors are highly aggressive and lethal types of cancer, particularly gliomas. These cancerous growths show complicated pathophysiological behaviours and with poor prognosis despite therapeutic advances. Due to their biological differences and infiltrating growth, as well as overlapping radiological characteristics, they pose great difficulty in diagnosis, grading, and survival prediction. Artificial intelligence technology, which includes machine learning , deep learning, and reinforcement learning has developed into a new paradigm for the automation of brain tumor diagnostics and personalized treatment. The main goal of this study is to create an integrated AI-based framework that can perform brain tumor segmentation, grading and …

Development Of Deep Fused Neural Architecture For Ancient Tamil Palm-Leaf Manuscript Recognition, Hariharan P Mr

Theses and Dissertations

Digitizing Tamil palm-leaf manuscripts is important for education, communication, and the preservation of cultural heritage. The complex structure of the Tamil script, the wide range of handwriting styles, and the degradation seen in ancient Tamil palm-leaf manuscripts make these texts very difficult to read and understand. Digital Image Processing (DIP), document analysis techniques, and traditional Optical Character Recognition (OCR) are unable to handle noise, background interference, faded ink, and limited labelled data, motivating the need for robust, effective Deep Learning (DL)- based solutions.

As a prerequisite to understanding and designing effective recognition systems for ancient manuscripts, this thesis first examines …

Performance Of Membrane Bioreactor In Nitrogen Removal Using Anammox Bacteria Cultivated From Lake Koto Baru, Zulkarnaini Zulkarnaini, Tiffany Azhra Amanda, Alqadri Asri Putra, Puti Sri Komala, Dewi Nilawati, Widyarani Widyarani, Tarzan Sembiring, Panji Cahya Mawarda, Athanasia Amanda Septevani, Mia Miranti Rustama, Rina Andriyani

Makara Journal of Science

Anaerobic ammonium oxidation (anammox) is the biological conversion of ammonium to nitrogen gas (N₂) using nitrite as an electron acceptor. This study evaluated the performance of a membrane bioreactor (MBR) in nitrogen removal at room temperature using Candidatus Brocadia fulgida, an anammox bacterium previously cultivated from Lake Koto Baru, Tanah Datar, Indonesia. The MBR was operated for 48 days with a hydraulic retention time of 24 h under a continuous supply of ammonium and nitrite, with both substrates provided at influent concentrations of 70, 150, and 250 mg-N/L. Samples were collected twice a week and analyzed via …

Sweep Angle Effects Of Flow Over A Seal Whisker-Inspired Undulated Cylinder, Trevor Dunt, Christin T. Murphy, Ondrej Fercak, Raúl Bayoán Cal, Jennifer A. Franck

Mechanical and Materials Engineering Faculty Publications and Presentations

Flow over a seal whisker-inspired undulated cylinder at swept back angles is computationally investigated, comparing the vortex shedding, forces, and wake characteristics to those of an equivalent smooth geometry. Numerous prior studies have demonstrated that undulated cylinders can reduce mean drag and unsteady lift oscillations; however, none have isolated the effects of the sweep angle resulting from whisker positioning in flow. Inspired by the active control seals exert over their whiskers while navigating and sensing in unsteady aquatic environments, this study investigates how such orientation influences the hydrodynamic performance of the geometry. Simulations are performed of flow across a rigid, …

Microplastics As Physical Hubs Amplifying Antiobiotic Resistance Under Mixed-Contaminant Selection In Wastewater Systems, Liyuan Hou

Spring Runoff Conference

Microplastics (MPs) are tiny plastic particles within the range of (0.1 mm to 5 mm) in size

Balancing Water Needs In Walker Basin, Peter Stanton

Spring Runoff Conference

Walker Lake 

Supported 50% of Mineral County economy 

Traditional homeland of Walker River Paiute Tribe (Agai Dicutta) 

World-class fishery

Annual Loon Festival

Spatiotemporal Variations And Their Influencing Factors For Vegetation Net Primary Productivity In The Shendong Coal Base, Yang Fei, Cui Kuankuan, Zhang Chengye, Li Jun, Dong Qiulin

Coal Geology & Exploration

Objective The Shendong coal base, located within the arid and semi-arid regions in western China, is identified as the region with the most pronounced contradiction between coal resource development and ecological conservation in the country. Analyzing the spatiotemporal variations in the ecosystem and their influencing factors at the base scale provides a necessary foundation for green mine construction while also offering critical support for regional sustainable development.Methods In this study, the vegetation net primary productivity (NPP) was selected as an indicator for the ecological evaluation of mining areas. By integrating data on terrain, weather and climate, socio-economy, and human …

Recent Advances In Graphene-Based Field-Effect Transistor Biosensors For Disease Biomarker Detection And Clinical Prospects, Deeksha Nagpal, Anup Singh, John Link, Abijeet Mehta, Ashok Kumar, Vinay Bhudhraja

Health & Biomedical Sciences Faculty Publications

Field-effect transistor (FET) biosensors using graphene have become one of the most promising biosensing platforms for the early diagnosis of diseases with features such as high sensitivity, label-free detection and application compatibility with point-of-care systems. Herein, we critically discuss recent advances in graphene FET (GFET) biosensor development toward clinically relevant biomarkers associated with representative diseases including cancer, neurodegenerative disease, infectious disease, and inflammatory conditions. Recent progress was reviewed to evaluate GFET architectures, surface functionalization methods, and detection quality. The biomarkers explored were clusterin in Alzheimer’s disease, thrombin in coagulopathy, estrogen receptor α (ER-α) in breast cancer, Carcinoembryonic antigen in lung …

Biogasification Potential Of Medium- To High-Rank Coals And Its Controlling Mechanisms At A Molecular Structural Level, Bao Yuan, Li Jiajun, Li Dan, Chen Xueru, Wang Xiaojing

Coal Geology & Exploration

Objective Coals with varying metamorphic grades differ significantly in the potential for methane generation through microbial degradation. Medium- to high-rank coals can generate a substantial volume of methane through microbial degradation. However, key factors governing their biogasification potential remain poorly understood. This study aims to identify the dominant factors controlling the potential of medium- to high-rank coals for methane generation through microbial degradation, as well as relevant controlling mechanisms, from the perspective of molecular structures.Methods The Carboniferous-Permian medium- to high-rank coals along the eastern margin of the Ordos Basin were investigated in this study. Using experiments on the hydrocarbon …

Discovery Of Quasi-Carbon Nanotube Structures In Tectonically Deformed Coals And Their Formation Mechanisms, Li Yunbo, Wang Rongqi, Song Dangyu, Wang Chengtao, Li Qiang, Yi Ke, Wang Yuanyuan, Pan Jienan

Coal Geology & Exploration

Objective Carbon nanotubes (CNTs) have attracted wide attention due to their unique structures and performance. However, their artificial synthesis requires stringent conditions, including high temperatures (700 ℃ to 2 300 ℃), stable carbon sources, and catalysts. Furthermore, these structures are rarely discovered in nature. As a carbon-rich medium, coals can form a variety of ordered carbon structures during their metamorphic and deformational processes, serving as an ideal carrier for exploring the formation mechanisms of natural CNTs.Methods Typical tectonically deformed coals from the Pingdingshan and Huaibei mining areas were investigated in this study. After demineralization and chloroform extraction, coal samples …

Soil Microbial Biomass And Organic Carbon Fractions Under Different Natural Restoration Years In Arid Coal Mining Subsidence Areas In Xinjiang, China, Xiao Li, Bi Yinli, Wang Dongdong, Li Jianfeng, Gong Hanlin, Deng Aojuan, Hou Wensheng

Coal Geology & Exploration

Objective This study aims to elucidate the influence of the natural restoration process on changes in soil microbial biomass and organic carbon fractions in coal mining subsidence areas. This effort will provide a crucial scientific foundation for understanding the natural ecological restoration process and carbon accumulation dynamics in arid coal mining subsidence areas.Methods Arid coal mining subsidence areas in Xinjiang, China were investigated in this study. Using the space-for-time substitution approach, sample plots were selected from an unmined area and areas having undergone natural restoration for one, three, eight, and 12 years. Subsequently, systematic analyses were conducted on the …

Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen

Engineering Faculty Articles and Research

Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …

Critical Heavy Metal Contamination In The Tigris River, Baghdad: A Comprehensive Assessment Using The Metal Index (Mi), Talib Kamil Abed, Abass J. Kadhem, Muwafaq Hussein Al-Lami

AUIQ Technical Engineering Science

One of the most important rivers in Iraq is the Tigris River, which serves as the primary source of drinking water and irrigation for agricultural purposes. In recent events, researchers have identified growing concerns about heavy metal contamination in the river. To decide the status of the Tigris River, the metal index (MI) was used in this study. To conduct this study, three locations were chosen along the river, and eight likely harmful heavy metals were examined: iron (Fe), lead (Pb), nickel (Ni), zinc (Zn), chromium (Cr), cadmium (Cd), manganese (Mn), and copper (Cu). The results were worrying. The metal …

Enhanced Cuckoo Search-Based Optimization For Single Distributed Generation Placement And Sizing In Radial Distribution Systems, Samson Oladayo Ayanlade, Abdulrasaq Jimoh, Richard Oladayo Olarewaju, Ignatius Kema Okakwu, Israel O. Adejumobi, Joseph B. Samson, Oluwadare A. Adebisi, Oluwadare O. Akinrogunde

Al-Bahir

This paper presents an Enhanced Cuckoo Search Algorithm (ECSA) to optimally place and size Distributed Generation (DG) in radial distribution systems to minimize real power loss within operating constraints. The proposed ECSA has exponentially decaying adaptive Lévy flights, constraint-aware solution repair with dynamic penalty coefficients, and diversity-directed stochastic replacement to enhance search robustness and convergence speed. It was tested with 30 independent runs on the IEEE 33-bus, IEEE 69-bus, and a practical Nigerian 32-bus distribution network. The simulations show that the ECSA lowers the active power loss of the IEEE 33-bus system from 201.58 kW to 102.75 kW (49.03%), and …

Identification Of Thruster Faults In Underwater Vehicles By Using Custom Encodings In Spiking Neural Networks, Donovan Gegg

LSU Master's Theses

Autonomous Underwater Vehicles (AUVs) are untethered robotic platforms used for tasks such as seafloor mapping, infrastructure inspection, and environmental monitoring. Recent technological advances have produced smaller, more affordable platforms, broadening access to research teams and small companies alike. This miniaturization comes at the cost of them handling drawbacks associated with a more compact machine such as reduced battery capacity as well as limited processing and sensing capabilities. These constraints make small-sized marine vehicle’s reliability critical as they can cause malfunctions, making the loss of a vehicle more likely. Actuator faults are particularly consequential as unintended and unstable control in an …

Polymer Microstructures For Advanced Biomanufacturing, Tongyao Wu

LSU Doctoral Dissertations

With the continued growth of the biopharmaceutical industry, the demand for scalable, robust, and resource-efficient platforms for large-scale mammalian cell culture is amplified. Recent developments in microfluidic technology, such as precise control of the microenvironment, showed the potential to improve the performance of cell culture systems. However, constrained by scalability and operational efficiency, applying such approaches to large-scale cell culture and biopharmaceutical production presents challenges. This dissertation addresses these challenges through three independent but conceptually related technological developments. First, a roll-to-roll (R2R) fabrication process was developed for the scalable production of hollow microcarriers (HMCs). HMCs provide three-dimensional microenvironments suitable for …

Bicuspid Valve Closure And Backflow Prevention: Role Of Leaflet Geometry, Badr Kauoi, A Bou Orm, P Navet, James W. Baish, Lance Munn

Faculty Journal Articles

Bicuspid valves with crescent-shaped leaflets are found in lymphatic vessels and veins, where their primary function is to prevent reflux and ensure unidirectional flow toward the heart. These valves are passive, and their functionality emerges spontaneously from a complex interplay between the properties of the valve leaflets and the flow patterns developing within the vessel sinus region surrounding the valve. The main function of the valves is to limit retrograde flow, or reflux, but the optimal valve structure has not been well characterized. Here we investigate numerically how the length of the leaflets affects the valve efficiency in preventing reflux. …

Understanding Agtech Adoption: Evidence From The Farm Tech Adoption Challenge 2025, Ankit Chandra, Mark Stone

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

The Farm Tech Adoption Challenge (FTAC) examined how farmers evaluate emerging agricultural technologies through structured interactions with startups. Farmers assessed solutions based on their on-farm challenges and indicated adoption decisions. Results showed that adoption was driven by how well technologies addressed economic pressure, risk reduction, and operational simplicity. Startups aligned with these priorities were more likely to gain traction, with five out of nine receiving farmer commitments for adoption. However, adoption also depended on clear economic value, field validation, and system integration. Overall, the findings suggest that the primary bottleneck in agtech is not the lack of relevant technologies, but …

Development And Preliminary Pressure Control Validation Of Woundwatch: Npwt System With Remote Monitoring Capabilities, Swetha Senthil Nathan

The Cardinal Edge

Chronic wounds, including diabetic foot ulcers, pressure sores, and venous leg ulcers, affect over 40 million individuals worldwide and are often complicated by delayed healing due to limited access to continuous monitoring. Negative Pressure Wound Therapy (NPWT) is an established treatment that promotes wound healing through controlled sub-atmospheric pressure. However, conventional NPWT systems lack real-time physiological feedback and require frequent in-person follow-ups, limiting their effectiveness in remote or low-resource settings. This study presents WoundWatch, a portable, low-cost NPWT device that integrates real-time temperature, humidity, and pressure sensing with wireless data transmission via an IoT platform. The system includes a vacuum …

Targeting Glioblastoma: Mechanistic And Clinical Perspectives From Uofl Research, Swetha Senthil Nathan

The Cardinal Edge

Glioblastoma (GBM) remains one of the most aggressive and treatment-resistant brain tumors, with median survival lingering at 12–15 months despite surgery, radiation, and chemotherapy. This article explores cutting-edge research and clinical efforts at the University of Louisville aimed at improving GBM treatment outcomes. Dr. Joseph Chen investigates the tumor microenvironment, revealing how physical properties such as stiffness and porosity drive GBM cell proliferation, migration, and resistance to apoptosis. His lab’s findings suggest that porosity, rather than stiffness alone, may be a more accurate predictor of tumor invasion and progression-free survival. Additionally, his research highlights the role of hyaluronic acid and …

Engineering 50 Years From Today: A Purdue Engineering Community Perspective, Arvind Raman

Purdue University Press Books

Since opening its doors in 1874, Purdue University’s College of Engineering and its graduates have been at the forefront of technological breakthroughs and are now poised to lead the next generation of engineers in the United States and around the globe. Featuring more than twenty-five essays from former Boilermakers, Engineering 50 Years From Today both celebrates the program’s 150th anniversary and looks ahead, exploring what the field of engineering might look like half a century from now. Leading luminaries from Purdue’s engineering community, including prominent university professors as well as innovators working in the private sector, reveal how technologies related …

Ionic Liquid Pilocarpine Serves As Therapeutic Cosolvent And Permeation Enhancer For Glaucoma Medication, Ashish Trital, Lei Xu, Burhan Ates, Tzu Chen Wang, Vimalin Mani, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

The efficacy of hydrophobic ocular drugs is significantly hindered by their low bioavailability, for which poor water solubility is a major contributing factor. In this work, we synthesized pilocarpine-derived ionic liquid [Pilo-OEG] Cl (PO) and evaluated its cosolvent properties for the codelivery of the hydrophobic antiglaucoma drug brimonidine (BM) for glaucoma therapy. Pilocarpine was quaternized with 2-[2-(2-chloroethoxy) ethoxy] ethanol in a one-pot reaction to yield PO, and its structure was confirmed using ¹H NMR and FT-IR spectroscopy methods and further characterized for its rheological property and thermal stability. The HET-CAM assay and cell viability study showed that PO was …

An Ensembled Two-Phase Deep Learning Approach For A Psychiatric Disorder Detection, Prajna Paramita Debata, Midhun Chakkaravarthy, Brojo Kishore Mishra

Turkish Journal of Electrical Engineering and Computer Sciences

Computational Psychiatry represents a burgeoning realm within scientific inquiry, delving into the intricate interplay of neurobiology within the brain. The escalating prevalence of mental illness underscores the urgency to confront this challenge. Among the prevalent disorders, Schizophrenia and Bipolar Disorder loom large, affecting a significant portion of the population at some point in their lives. However, pinpointing psychiatric disorders poses a formidable challenge. Genetic predispositions significantly influence the development of mental illnesses, with intriguing overlaps observed among certain disorders. This convergence complicates accurate diagnosis. Here, a deep learning approach is considered for significant gene biomarker identification and classification of Schizophrenia …

A Joint Optimization-Based Novel Attack For Genomic Beacon Reconstruction, Kousar Saleem, Si̇nem Sav

Turkish Journal of Electrical Engineering and Computer Sciences

Genomic data sharing has become an essential component of biomedical research, enabling large-scale collaborations and accelerating discoveries in human genetics. To balance the need for accessibility with privacy concerns, several controlled-access mechanisms have been proposed, including genomic beacons. Genomic beacons answer simple presence/absence queries about specific genetic variants. However, prior work has demonstrated that beacons remain vulnerable to genome reconstruction attacks, where an adversary can recover large portions of participants’ genomes using summary statistics. Building on insights from prior reconstruction attacks, we introduce an approach that unifies SNP correlation and allele frequency alignment objectives within a single-stage joint optimization framework. …