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Selective Targeting Of Microglia By Quantum Dots And Green Synthesis Of Metal Organic Biohybrids; Applications In Dynamic Cell And Assay Systems, Navya Uppu

Doctoral Dissertations

Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting approximately 15% of the worldwide population. Part of the glioma microenvironment are microglia, resident immune cells of the CNS that were thought to be involved in the pathogenesis of diverse neurodegenerative diseases. Though it remains uncertain what triggers microglial activation in these disorders, targeting and tracking microglial functions using nanotools like Quantum Dots (QDs) could help us elucidate them in such neurological diseases. This research focuses on the comparative study of different QDs formulations and their selective uptake by brain microglia in primary cultures …

Development And Characterization Of Injectable, Cell-Encapsulated Chitosan-Genipin Hydrogels, Tyler R. Priddy-Arrington

Doctoral Dissertations

Over 150,000 patients undergo lower extremity amputation every year in the United States, most commonly caused by complications due to diabetes mellitus, peripheral vascular disease, and trauma. Diseased or damaged tissues that are unable to naturally repair themselves must either be fully removed or replaced, otherwise the injuries can lead to further complications such as infection or death. Tissue resection and amputation, as forms of removing damaged tissue, are not favorable to patients as they can cause pain, reduce mobility, and negatively impact quality of life. However, replacing lost or damaged tissues with donor tissues carries the risks of tissue …

Safe Use Of Nanomaterials: A Review On Nanotoxicity And Nanosafety, Punith Krishna Alahari

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Nanotechnology In Food Science: Opportunities And Challenges, Raksha S Shettigar, Usha Yogendra Nayak

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Ai In Nanotechnology, Sakshi Hanmant Shinde

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Experiment, Characterization And Applications Of Bio-Enzymes Derived From Fruit Waste, Chakkati Swayam Raj Yadav, Sai Raj Matta, B.V.S. Praveen

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

A Natural Interaction Paradigm To Facilitate Cardiac And Nerve Anatomy Education Using Augmented Reality And A Surgical Metaphor, Shashikala S V, Amith D, Lekhana H L, Disha T S, Likith R

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Bioproduction Of Advanced Biomaterials: Harnessing Bacterial Cellulose And Yeast Symbiosis For Nanocomposite Leather Fabrication, P Harish, Y Nitin Varma, K Prasad Babu

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Chemical And Green Synthesis Of Cuo Nanoparticles And Its Impact On Pearl Millet Seed Germination And Morphological Traits, Harsha K Chandrashekhar, Gunjan Singh, Arya Kaniyassery, Thorat Sachin Ashok, Roopa Nayak, Thokur Sreepathy Murali, Annamalai Muthusamy

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

In Silico Modelling And In Vitro Characterization To Develop A Novel Drug Which Can Inhibit One Of The Principal Protein Translation Machineries, M7g-Eif4e - An Innovative Approach, Saradindu Banerjee, Krishnaprasad B, Shrilaxmi Ms, Archana Bm, Yogendra Nayak, Somasish Ghosh Dastidar

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Exosomes:A Novel Nanoplatform For Drug Delivery, Sriya Lingamagunta

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

In-Silico Study Of Selected Ayurvedic Nanocomposites, Dhimahi Bhatt

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Revolutionizing Early Leaf Disease Detection And Classification: An In-Depth Survey Of Innovative Strategies Leveraging Residual Networks For Unprecedented Precision, Efficiency, And Robustness In Machine Learning-Driven Plant Health Monitoring., Sita Yadav, Abhijit Singh, Aniket Digole, Megha Kumari, Ritika Pandey

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Programmable Assembly Of Nanorods In Microfluidics, Pandillapally Rama

International Conference on ‘NANOSCIENCE AND NANOTECHNOLOGY'

No abstract provided.

Comparison Of Scanning Electron Microscopy And Confocal Laser Microscopy For Tissue Surface Roughness Characterization, Tarnvir Dhaliwal

Master's Theses

It was found that the measurements captured by confocal microscopy and scanning electron microscopy had a statistically significant difference for bovine tissue. There was not a statistically significant for porcine and poultry tissue.

The intent of the study is to perform a comparative study to examine efficacy of two distinct technologies for a singular purpose: tissue surface roughness characterization. The two technologies compared are a confocal reflectance microscope and a scanning electron microscope. The comparison was made by comparing two surface roughness parameters [Ra and Rq] within ImageJ.

The study examined three different animal species [porcine, bovine, and poultry] to …

Fabrication And Characterization Of Quad-Component Bioinspired Hydrogels To Model Elevated Fibrin Levels In Central Nervous Tissue Scaffolds, Jennifer Steele, Dany J. Munoz-Pinto

Engineering Faculty Research

Multicomponent interpenetrating polymer network (mIPN) hydrogels are promising tissue-engineering scaffolds that could closely resemble key characteristics of native tissues. The mechanical and biochemical properties of mIPNs can be finely controlled to mimic key features of target cellular microenvironments, regulating cell-matrix interactions. In this work, we fabricated hydrogels made of collagen type I (Col I), fibrin, hyaluronic acid (HA), and poly (ethylene glycol) diacrylate (PEGDA) using a network-by-network fabrication approach. With these mIPNs, we aimed to develop a biomaterial platform that supports the in vitro culture of human astrocytes and potentially serves to assess the effects of the abnormal deposition of …

Applications Of Plastics In The Automotive Industry: Current Trends And Future Perspectives, Hossein Abedsoltan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Plastics have transformed the automotive industry, contributing substantially to automobile design, weight reduction, fuel efficiency, safety, and sustainability. This review paper examines the applications of plastics in the automotive sector, evaluates the present trends, and describes the future plastic consumption possibilities, emphasizing emerging technology and sustainable practices. The paper delineates how plastics have become an essential component of automotive innovation and illustrates the possibilities for additional breakthroughs in this dynamic industry. Highlights: Advances in plastics, bioplastics, and smart materials in the auto industry. Plastic role in design, safety, and sustainability in the auto industry. Recycling and the circular economy of …

Integrating Eod And Readiness Competencies Into The Ce Cgo Competency Framework, Kristina L. Johnson

Theses and Dissertations

In the last few years, the strategic focus of the United States defense posturing has shifted from legacy conflict in the Middle East to focusing on the Pacific with increased emphasis that Airmen must be educated and trained to deter or prevail in any conflict. To achieve this goal, the Department of Air Force (DAF) has evolved to utilizing a competency-based education framework with the Civil Engineer career field adopting this strategy and releasing the first version of their occupational competencies in 2020. However, DAF force posturing has evolved since 2020. With the new deployment system, Agile Combat Employment scheme …

Effects Of Redrying Methods On The Milling Potential, Crude Protein And Total Phenolic Content, And Antioxidant Activity Of Stored Inorganic And Organically-Grown Paddy, Mary Ann Baradi, Jessica Solero, Clarence Dangcil, Gerome Corpuz, Marissa Romero

The Philippine Agricultural Scientist

This study sought to determine the effects of redrying techniques (no redrying or Control, 2-h, 4-h, and 6-h redrying with stirring every 30 min, Farmer's Practice or 6-h redrying with one stirring) on grain quality of stored inorganic and organic paddy rice as well as the redrying method that gives the best quality rice. PSB Rc82 rice harvested in October 2016 was used in the experiment conducted in February 2017. Quality parameters evaluated were moisture content, brown rice, total milled rice, crude protein content in percent, total phenolic content, and 2-2 diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity. PSB Rc82 paddy exposed …

Techno-Economic Feasibility Of Polyhydroxybutyrate (Phb) Production From Corn Stover, Jey-R Ventura, Ruby Lynn Ventura

The Philippine Agricultural Scientist

This research evaluated the techno-economic feasibility of polyhydroxybutyrate (PHB) production using corn stover as a substrate for the fermentation process. The target PHB plant production was set at 1000 t PHB per yr, with a daily production of about 3 t PHB. The required corn stover biomass was around 12 000 t per yr. The economic analysis of this study suggested that 91.13 M US$ is needed to put up the targeted plant production capacity, with 94% of the total investment to be allotted to the direct fixed capital cost. Annual operating cost was rated at 4.71 M US$ per …

Weakly Supervised Attention-Based Recognition Under Spectral, Turbulence, And Resource Variations, Kshitij Naresh Nikhal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

While supervised optimization paradigms are ubiquitous across diverse recognition systems, the risk of over-fitting and increasing bias have limited their applicability.

This dissertation focuses on unsupervised learning—learning without precisely curated data—and argues that unsupervised learning methods can enable both discriminability and generalizability. Through the use of attention-based machine learning and advanced clustering, unsupervised methods are able to focus on fine-grained information in images without any explicit supervision. The dissertation introduces a domain-bridging framework for tasks like cross-spectrum matching and long-range recognition, utilizing intra-domain clustering and inter-domain matching to generate pseudo-labels. Additionally, a hash-based network is proposed to accelerate the search …

Utilization Of The System Engineering Design Process To Design And Test A Low-Cost Infectious Aerosol Control Mechanism For Patient Aeromedical Evacuation, Sara Shaghaghi

Theses and Dissertations

The aeromedical evacuation of military patients is a critical component of care for Armed Forces members. The Air Force’s ability to transport patients relies on the technology and systems available. A vital transport responsibility is keeping the patient and medical personnel safe during transport. The historical and legacy systems provide reliable transport mechanisms for the Armed Forces’ patients infected with high-level biological agents, but drawbacks must be considered. This dissertation will discuss the development, conceptual design, and initial evaluation of a new low-cost, litter-mounted patient transport system, Biological-Mitigation in Patient Transport (B-MIPT), using the “V” model of the system engineering …

Personal Dosimeter Testing For High Altitude Air Crew, Seth D. Bacon

Theses and Dissertations

In 2014 the Thermo Scientific N2 electronic personal dosimeter became the aircrews’ sole means to record ionizing radiation dose. The production of this dosimeter was discontinued in July of 2021, motivating the Air Force to seek a flight-certifiable replacement. The Thermo Scientific Trudose NG, Mirion DMC 3000, and Fuji NRF-51 electronic personal dosimeters, as well as the Landauer InLight optically stimulated luminescent dosimeter, were subjected to mixed gamma and fast neutron fields simulating a high-altitude flight environment. Dosimeters are evaluated on their consistency and accuracy in reporting dose and compared to the current N2 dosimeter’s reported dose.

Improving Rogue Radio Emitter Detection Using Siamese Networks, Mason Wright

Theses and Dissertations

Radio Frequency Fingerprinting (RFF) is the process of creating discerning signatures of emitted radio signals, most often with the goal of identifying specific devices again in the future. The security benefits of this task are intended to build upon current software-based authentication by making use of multi-factor authentication (MFA), but the related task of being able to reject unwanted emitters is limited. This paper presents a Siamese network trained on two different extracted fingerprints of raw Wi-Fi signals, along with a verifier to perform classification and rogue device detection. It was found that fingerprints using the Distortion Reconstruction (DR) technique …

Gamma Protection Factor For A Surrogate Armored Vehicle Exposed To The Us Army Fast Burst Reactor, Ian J. Poropat

Theses and Dissertations

This work measures the Gamma Protection Factor (GPF) of a steel cube, which is meant to serve as a surrogate for armored vehicles. The GPF is measured at the White Sands Missile Range Fast Burst Reactor (FBR) and is modeled using MCNP® v6.2 transport simulation software. When exposed to the FBR, the GPF is found to depend roughly linearly on the distance between the reactor core and steel cube. The GPF is determined to be 1.176 ± 0.00067 at 9.21 m, 1.098 ± 0.0011 at 26.16 m, and 1.033 ± 0.00082 at 42.92 m. MCNP® estimates the GPF for the …

On Intrinsic Dimensionality Of Data Sets And Neural Networks, Ori Chachmo

Theses and Dissertations

The concept of Intrinsic Dimensionality (ID) is of special interest in the field of Neural Networks (NNs) since it promotes both (a) a deeper understanding of the underlying mechanisms, and (b) embraces parsimonious modeling (that is, building the right-sized model for the task) with associated benefits to processing speed and storage requirements. This thesis explores the concept of ID via two separate, but related, questions. First, we study the potential of NN ID prediction by exploiting easily obtained quantities measured on the data. We then explore NN ID as an independent concept by comparing the results of different methods for …

Artificial Intelligence And Perception: An Empirical Study, Anthony J. Neil

Theses and Dissertations

This thesis investigates the impact of adjusting artificial intelligence explainability levels’ outputs on user perception. The overarching study extends within the Explainable Artificial Intelligence (XAI) domain. It examines a spectrum of variables, including performance, cognizance, familiarity, transparency, system bias, and the overall impact of AI, to understand their collective and individual effects that enable effective professional use in an organization. The study aims to illuminate the relationship between the degree of explainability provided by large language models such as ChatGPT, Bard, and Bing AI and the performance of these models when tasked with XAI adjustments.

Deploying Field-Capable Genome Sequencing: Human Performance Considerations Under Various Personal Protective Equipment Ensembles, Steven A. Torres

Theses and Dissertations

Field-portable genome sequencing enhances the Department of Defense's strategy for detecting biological threats, particularly in resource-limited environments. While current field-capable detection methods are effective, challenges in identifying emerging threats pose risks to personnel safety. As biotechnological advancements like portable nanopore genome sequencing can advance biological detection capabilities, the viability of conducting laboratory tasks under Mission-Oriented Protective Posture (MOPP) ensembles lacks sufficient data. This research assesses the effectiveness of tools like pipettes, centrifuges, vortexes, and nanopore sequencing within a MOPP ensemble. Novice participants were utilized to explore the extension of this capability, and they completed tasks in three conditions: Fatigues, Laboratory …

Soil Nitrate Prediction Using Ftir-Atr, Vis-Nir, And Raman Spectroscopy, Sabiha Ferdous

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Fourier transform infrared spectroscopy (FTIR) combined with Attenuated total reflectance (ATR), Visible-Near Infrared spectroscopy (Vis-NIR), and Raman spectroscopy (RS) are non-destructive techniques for rapid determination of nitrogen compounds in soil. Leveraging FTIR-ATR and Vis-NIR spectra using partial least squares regression (PLSR) modeling, the study aims to predict soil nitrate content and explored the feasibility of Raman spectroscopy to detect nitrate (NO₃^-), nitrite (NO₂^-), and ammonium (NH₄⁺) in soil. Soil samples were collected from four different fields, dried, sieved (2mm), and then used for collecting spectra (FTIR-ATR and Vis-NIR). Laboratory analysis was …

Utilization Of Caputo Fractional Derivative In Mhd Nanofluid Flow With Soret And Thermal Radiation Effects, Harshad Patel, Gopal Nanda

Applications and Applied Mathematics: An International Journal (AAM)

In existence of heat diffusion and thermal radiation, an analytical equation is found for unsteady MHD flow past an exponentially accelerating vertical plate in optically thick water based nanofluid. The governing equations are made dimensionless by similarity transformation. A definition of Caputo fractional derivative is applied to generalize governing system of partial differential equations. Laplace transform techniques are applied and obtained the analytical solutions of proposed problems. For a physical point of view, numerical results are obtained using MATLAB software and presented via graphs. From the results, it is concluded that magnetic fields tend to reduce velocity. It is also …