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An Adaptive Model To Support Biofeedback In Ami Environments: A Case Study In Breathing Training For Autism, Arturo Morales, Franceli L. Cibrian, Luis A. Castro, Monica Tentori

Engineering Faculty Articles and Research

Biofeedback systems have shown promising clinical results in regulating the autonomic nervous system (ANS) of individuals. However, they typically offer a “one-size-fits-all” solution in which the personalization of the stimuli to the needs and capabilities of its users has been largely neglected. Personalization is paramount in vulnerable populations like children with autism given their sensory diversity. Ambient intelligence (AmI) environments enable creating effective adaptive mechanisms in biofeedback to adjust the stimuli to each user’s performance. Yet, biofeedback models with adaptive mechanisms are scarce in the AmI literature. In this paper, we propose an adaptive model to support biofeedback that takes …

Assembly And Operation Of An Acoustofluidic Device For Enhanced Delivery Of Molecular Compounds To Cells, Connor S. Centner, Emily M. Murphy, Bryce F. Stamp, Mariah C. Priddy, John T. Moore, Paula J. Bates, Michael Menze, Kavitha Yaddanapudi, Jonathan A. Kopechek

Faculty and Staff Scholarship

Efficient intracellular delivery of biomolecules is required for a broad range of biomedical research and cell-based therapeutic applications. Ultrasound-mediated sonoporation is an emerging technique for rapid intracellular delivery of biomolecules. Sonoporation occurs when cavitation of gas-filled microbubbles forms transient pores in nearby cell membranes, which enables rapid uptake of biomolecules from the surrounding fluid. Current techniques for in vitro sonoporation of cells in suspension are limited by slow throughput, variability in the ultrasound exposure conditions for each cell, and high cost. To address these limitations, a low-cost acoustofluidic device has been developed which integrates an ultrasound transducer in a PDMS-based …

Molecular Dynamic Simulation Of Protein Devices And The Parameterization Of Azides And Alkynes For Use In Unnatural Amino Acid Models, Addison Kyle Smith

Theses and Dissertations

Proteins that have been modified by attaching them to a surface or to a polyethylene glycol (PEG) molecule can see many uses in therapeutics and diagnostics -- these unique proteins are called protein devices. Current techniques can perform these functionalizations at a specific residue on the protein, but what remains is identifying what happens to protein structure when mutated, and where to perform the attachment. Both of these issues can be examined using molecular dynamic (MD) simulations. Currently, simulations of the unnatural amino acid (uAA) mutations necessary for protein device functionalization cannot be executed, and full-protein screens of all possible …

Electrospray Deposition Of Zno Nanostructures For Nanoscale Electronic Applications, David Hooks

LSU Master's Theses

Modern technology is ever-evolving and as more emphasis is placed on faster, more sensitive electronic devices, advancements in the field of electronics are as important now as they ever have been. To meet the need for more sensitive devices, it is important to study new semiconducting materials and the applications in which they pose a potential advantage.

The field of electronic materials research falls at the intersection of physics, chemistry, materials science, and electrical engineering. Zinc Oxide (ZnO) is of particular interest in modern electronic devices for its uses in sensing applications, high-powered transistors, and LED technology. ZnO has been …

Computational Study Of Helical And Helix-Hinge-Helix Conformations Of An Anti-Microbial Peptide In Solution By Molecular Dynamics And Vibrational Analysis, Faramarz Joodaki, Lenore M. Martin, Michael L. Greenfield

Chemical, Biomolecular, and Materials Engineering Faculty Publications

Many classical antimicrobial peptides adopt an amphipathic helical structure at a water-membrane interface. Prior studies led to the hypothesis that a hinge near the middle of a helical peptide plays an important role in facilitating peptide-membrane interactions.Here, dynamics and vibrations of a designed hybrid antimicrobial peptide LM7-2 in solution were simulated to investigate its hinge formation.Molecular dynamics simulation results on the basis of the CHARMM36 force field showed that the $\alpha$-helix LM7-2 bent around two or three residues near the middle of the peptide, stayed in a helix-hinge-helix conformation for a short period of time, and then returned to a …

Scalable Fabrication Of Post-Drawn Bio-Based And Petroleum-Based Nanofibers With Tunable Fiber Alignment, Morphology, And Mechanical Properties Via An Automated Track Approach, Dave Jao

Theses and Dissertations

We propose to expand nanomanufacturing capabilities and develop processing methods to produce advanced nanofiber materials with enhanced macromolecular and functional properties. Over the past decade, there has been a tremendous increase in the demand for polymeric nanofibers, which are promising candidates for a wide range of technological applications, including tissue engineering, protective clothing, filtration/absorption materials, and sensors/electronic devices, batteries/energy harvest, and fiber-reinforced composites [1]. However, the accessibility of nanofiber materials is limited because it is impossible to produce polymer nanofibers using conventional techniques. Typically, conventional polymer fibers are manufactured by mechanical extrusion with a secondary post-drawing step that stretches the …

Microplastic Abundance, Composition And Distribution On Selected Beaches, Seafloor And In Marine Animals Of Perhentian Islands, Terengganu, Lim Ying Wei

Student Works (2020-2029)

Small pieces of plastic with sizes less than 5mm is known as microplastic. Accidental intake of microplastic could disturb an organism’s digestive and hormone systems. Of all the landscapes, islands are especially vulnerable to microplastic pollution due to their distinctive geographical and meteorological characteristics. Perhentian Islands in Terengganu state of Peninsular Malaysia was chosen as the study site for microplastic research as it harbours diverse marine species and consistently receives high number of tourist arrival. This project studies microplastic abundance attached to beach and seafloor sediments, within Acropora spp. coral, and in randomly collected marine animal carcasses during both Southwest …

Quantification Of Nitric Oxide Concentration Using Single-Walled Carbon Nanotube Sensors, Jakob Meier, Joseph Stapleton, Eric M. Hofferber, Abigail Haworth, Stephen D. Kachman, Nicole M. Iverson

Department of Mechanical and Materials Engineering: Faculty Publications

Nitric oxide (NO), a free radical present in biological systems, can have many detrimental effects on the body, from inflammation to cancer. Due to NO’s short half-life, detection and quantification is difficult. The inability to quantify NO has hindered researchers’ understanding of its impact in healthy and diseased conditions. Single-walled carbon nanotubes (SWNTs), when wrapped in a specific single-stranded DNA chain, becomes selective to NO, creating a fluorescence sensor. Unfortunately, the correlation between NO concentration and the SWNT’s fluorescence intensity has been difficult to determine due to an inability to immobilize the sensor without altering its properties. Through the use …

Research On Particle Filter Algorithm Based On Improved Grey Wolf Algorithm, Weigang Li, Li Yang, Yuntao Zhao, Baokang Yan

Journal of System Simulation

Abstract: The traditional particle filter algorithm is prone to particle depletion and weight degradation, and a large number of particles are needed to make an accurate estimation of non-linear system. A novel particle filter algorithm based on grey wolf optimization algorithm is proposed. The particles are employed to characterize the individuals of grey wolf and simulate the process of wolf hunting, which makes the particles move to the high likelihood region of posterior probability and improve the rationality of the distribution of the particles. Levy flight strategy is introduced in grey wolf algorithm to improve the convergence speed. The adaptive …

Traversal Path Planning And Simulation Of Robot Based On Radiation Scanning, Bin Lin, Guanghui Han, Chenchen Song, Yajing Zhang

Journal of System Simulation

Abstract: Aiming at the high repetition rate and many turns of robot paths based on BINN algorithm, an ITPPA combining the template model and the RS algorithm is proposed. The BINN algorithm is used to formulate the non-obstacle walking strategy. Multiple obstacle avoidance path templates are designed to ensure that the robot could avoid obstacles in an orderly manner. RS algorithm is used to guide the robot to escape the dead zone quickly. Simulation results show that, compared with BINN algorithm, ITPPA could not only effectively reduce the path repetition rate and the number of turning and energy consumption …

Bibliometric Of Feature Selection Using Optimization Techniques In Healthcare Using Scopus And Web Of Science Databases, Rahul Joshi, Harita Gadikta, Saneeka Kharat, Soumi Mandal, Kalyani Kadam, Anupkumar M. Bongale Dr., Siddhant Pandit

Library Philosophy and Practice (e-journal)

Feature selection technique is an important step in the prediction and classification process, primarily in data mining related aspects or related to medical field. Feature selection is immersive with the errand of choosing a subset of applicable features that could be utilized in developing a prototype. Medical datasets are huge in size; hence some effective optimization techniques are required to produce accurate results. Optimization algorithms are a critical function in medical data mining particularly in identifying diseases since it offers excellent effectiveness in minimum computational expense and time. The classification algorithms also produce superior outcomes when an objective function is …

Optimal Nonlinear Pid Speed Control Based On Harmony Search For An Electric Vehicle, Mohamed Shamseldin, Mohamed Abdel Ghany, Yahia Hendawey

Future Engineering Journal

the paper presents an efficient scheme for a Nonlinear PID (NPID) controller to improve the dynamic response of the Electric Vehicle (EV). The objective of the proposed controller is to track accurately the reference speed selected by the driver of the EV. A MATLAB/Simulink model is established and validated for the considered EV to study the system performance. The proposed NPID controller has been investigated by comparing it with the traditional PID controller. The optimal parameters of Both the NPID and PID controllers were obtained using the Harmony Search (HS) optimization technique based on a cost function. The desired rise …

Diabetes Prediction Using Machine Learning : A Bibliometric Analysis, Vijayshri Nitin Khedkar, Sina Patel

Library Philosophy and Practice (e-journal)

Diabetes Mellitus is a chronic disease which can be deadly if undetected for longer time. Artificial intelligence is helping in healthcare industry to a great extent by helping professionals to derive useful information and patterns from data available in various formats: Survey data, electronic health records, laboratory data.. Diabetes, if predicted at an early stage can help many people to save lives and cost for healthcare. Decision-making, diagnosing and predicting diabetes have become an increasing trend in recent years. There are numerous publications in diabetes prediction and yet it’s an ongoing research topic with availability of new data and methods. …

A Bibliometric Analysis Of The Tea Quality Evaluation Using Artificial Intelligence, Amruta Bajirao Patil Research Scholar, Mrinal Rahul Bachute Ph.D Guide And Associate Professor

Library Philosophy and Practice (e-journal)

ABSTRACT: In this study, we have carried the bibliometric review of the “Tea quality evaluation using artificial intelligence”. Only the Scopus database is under consideration for this analysis. To coat all possible research approaches here we have generated the valid search queries which excludes irrelevant literature. The result analysis shows overall 602 useful papers are available on the tea quality evaluation out of which 12 papers are specifically on artificial taste perception of tea. This survey illustrates the emerging trend of quality evaluation and assurance (QEA) in tea industry and its importance. As the production of tea is huge, storage …

3d-Printed Microfluidic Droplet Generator With Hydrophilic And Hydrophobic Polymers, Chandler A. Warr, Hunter S. Hinnen, Saroya Avery, Rebecca J. Cate, Gregory P. Nordin, William G. Pitt

Faculty Publications

Droplet generation has been widely used in conventional two-dimensional (2D) microfluidic devices, and has recently begun to be explored for 3D-printed droplet generators. A major challenge for 3D-printed devices is preventing water-in-oil droplets from sticking to the interior surfaces of the droplet generator when the device is not made from hydrophobic materials. In this study, two approaches were investigated and shown to successfully form droplets in 3D-printed microfluidic devices. First, several printing resin candidates were tested to evaluate their suitability for droplet formation and material properties. We determined that a hexanediol diacrylate/lauryl acrylate (HDDA/LA) resin forms a solid polymer that …

3d-Printed Microfluidic Droplet Generator With Hydrophilic And Hydrophobic Polymers, Chandler A. Warr, Hunter S. Hinnen, Saroya Avery, Rebecca J. Cate, Gregory P. Nordin, William G. Pitt

Faculty Publications

Droplet generation has been widely used in conventional two-dimensional (2D) microfluidic devices, and has recently begun to be explored for 3D-printed droplet generators. A major challenge for 3D-printed devices is preventing water-in-oil droplets from sticking to the interior surfaces of the droplet generator when the device is not made from hydrophobic materials. In this study, two approaches were investigated and shown to successfully form droplets in 3D-printed microfluidic devices. First, several printing resin candidates were tested to evaluate their suitability for droplet formation and material properties. We determined that a hexanediol diacrylate/lauryl acrylate (HDDA/LA) resin forms a solid polymer that …

Gait Simulation Of Snake Robot Based On Cpg Method, Gao Qin, Zhelong Wang, Weijian Hu, Lanying Zhao

Journal of System Simulation

Abstract: Biological snakes in nature have a variety of periodic motion patterns such as serpentine motion, linear motion and lateral motion. Gaits diversity has greatly improved the adaptability of natural snakes to complex environment. Biologists has proved that such rhythmic movements of vertebrate animals are generated by CPG (the central neural pattern generator). Special mechanical structure of a snake robot with high degree offreedom and locomotion characteristics of different gaits was considered to bulid a suitale CPG network model. Hopf oscillators were chosen as neuron models of a central pattern generator owing to their stable features. A snake robot prototype …

Addressing The Practical Limitations Of Volatile Organic Compound Sensors Through An Oscillator-Based Sensing Array, Allison K. Murray, Joseph R. Meseke, Nikhil Bajaj, Jeffrey F. Rhoads

Mechanical Engineering Faculty Research and Publications

This work demonstrated the development of an array of oscillator-based sensors for the detection of volatile organic compounds (VOCs). A field-programmable gate array (FPGA) was leveraged to monitor the oscillation frequency of 16 sensing elements in parallel. It was shown that three functional chemistries can be deposited via inkjet printing to detect several analytes selectively. These unique response characteristics allowed for the creation of a linear regression model that relates the shifts in oscillation frequencies to the concentration of specific analytes. This approach utilized a single array with sufficient elements to incorporate intentional redundancies. Ultimately, this work demonstrated a low-cost …

Neural Coding And Organization Principles In The Drosophila Olfactory System, Haoyang Rong

McKelvey School of Engineering Graduate Student Theses & Dissertations

Sensory systems receive and process external stimuli to allow an organism to perceive and react to the environment. How is sensory information subsequently represented, transformed, and interpreted in the neural system? In this dissertation, I have investigated this fundamental question using the fruit fly (Drosophila melanogaster) olfactory system.Chemical cues are transduced into neural signals in the insect antenna by the olfactory receptor neurons (ORNs). The ORNs send their axons to the antennal lobe (AL), with each ORN type innervating a specific neuropil (glomerulus), where they synapse onto excitatory and inhibitory projection neurons (ePNs and iPNs). The ePNs project their axons …

Focused Ultrasound-Mediated Drug Delivery To The Brainstem, Dezhuang Ye

McKelvey School of Engineering Graduate Student Theses & Dissertations

Brainstem gliomas are tumors that occur in the brainstem, the brain region that connects the brain to the spinal cord and controls vital body functions. The critical anatomic location of the brainstem precludes surgical intervention and limits the use of invasive therapeutic techniques. Moreover, the frequently intact blood-brain barrier (BBB) of most brainstem gliomas prevents therapeutic agents from reaching the diseased site. The currently available techniques for brain drug delivery are either invasive (e.g., convection-enhanced delivery) or lack targeting to the diseased site (e.g., intranasal brain drug delivery). Novel techniques that can noninvasively overcome the BBB are critically needed for …

Differentiating Human Embryonic Stem Cells In Micropatterns To Study Cell Fate Specification And Morphogenetic Events During Gastrulation, Kyaw Thu Minn

McKelvey School of Engineering Graduate Student Theses & Dissertations

During mammalian embryogenesis, the first major lineage segregation occurs when embryonic epiblast, and extraembryonic trophectoderm and hypoblast arise in the blastocyst. In the next fundamental and conserved phase of animal embryogenesis known as gastrulation, extraembryonic cells provide signals to epiblast to instruct embryonic patterning, and epiblast gives rise to germ layers ectoderm, mesoderm, and endoderm, that will establish all embryonic tissues. Proper specification and morphogenesis of germ layers during gastrulation is vital for correct embryonic development. Due to ethical and legal restrictions limiting human embryo studies, human gastrulation is poorly understood. Our knowledge of human gastrulation has largely been derived …

Uncovering The Roles And Evolved Sequence Grammar Of Hypervariable Intrinsically Disordered Proteins In Bacterial Cell Division, Megan Cohan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Across all domains of life, a defining hallmark of the onset of cell division is the formation of a cytokinetic ring at the center of the cell. Cell division is a tightly controlled process that involves various regulatory factors that modulate the assembly of the cytokinetic ring. In rod-shaped bacteria, the ring is termed the Z-ring after the protein FtsZ, which is foundational to ring formation and is the bacterial homolog of tubulin. Like tubulin, FtsZ is an assembling GTPase, where GTP binding promotes the cooperative assembly into FtsZ polymers that laterally associate to form bundles. While the GTPase domain …

Constructing And Analyzing Neural Network Dynamics For Information Objectives And Working Memory, Elham Ghazizadeh Ahsaei

McKelvey School of Engineering Graduate Student Theses & Dissertations

Creation of quantitative models of neural functions and discovery of underlying principles of how neural circuits learn and compute are long-standing challenges in the field of neuroscience. In this work, we blend ideas from computational neuroscience, information and control theories with machine learning to shed light on how certain key functions are encoded through the dynamics of neural circuits. In this regard, we pursue the ‘top-down’ modeling approach of engineering neuroscience to relate brain functions to basic generative dynamical mechanisms. Our approach encapsulates two distinct paradigms in which ‘function’ is understood. In the first part of this research, we explore …

Nanoscale Enhancement Of Photosensitized Radionuclide Stimulated Therapy, Daniel Douglas Lane

McKelvey School of Engineering Graduate Student Theses & Dissertations

Photodynamic therapy (PDT) provides efficient tumor killing through the generation of reactive oxygen species (ROS) from the optical excitation of a photosensitizer (PS). Furthermore, this mechanism is highly immune stimulating, providing systemic tumor immunity with a reduction in metastasis. However, these materials had previously been limited by their dependence upon external light sources, allowing treatment of only laser-accessible malignancy. With the recent development of photosensitized radiation stimulated therapy (PRaST) this depth dependence is broken through co-localization of radionuclides and semiconducting photosensitizers. This dissertation focuses on the enhancement of titanium dioxide (TiO2) based PRaST agents through understanding of TiO2 material parameters …

Evaluating The Structural And Functional Consequences Of Traumatic Joint Injury And Their Relation To Nf-Κb In A Non-Invasive Model Of Post-Traumatic Osteoarthritis, Ian Matthew Berke

McKelvey School of Engineering Graduate Student Theses & Dissertations

Post-traumatic osteoarthritis (PTOA) is a painful and debilitating disease of the synovial joint, characterized by degenerative changes to various joint tissues following traumatic joint injury. While several risk factors have been identified in the symptomatic progression of PTOA following injury, inflammation and NF-κB mediated changes are believed to significantly contribute to symptomatic joint dysfunction and pain. However, the temporal presentation of these pro-inflammatory signals following clinically relevant injury and their relationship to the development of symptomatic disease have not been thoroughly investigated. Therefore, there exists a critical need to better understand how these early inflammatory events following injury may contribute …

Theory, Design And Implementation Of Energy-Efficient Biotelemetry Using Ultrasound Imaging, Sri Harsha Kondapalli

McKelvey School of Engineering Graduate Student Theses & Dissertations

This dissertation investigates the fundamental limits of energy dissipation in establishing a communication link with implantable medical devices using ultrasound imaging-based biotelemetry.

Ultrasound imaging technology has undergone a revolution during the last decade due to two primary innovations: advances in ultrasonic transducers that can operate over a broad range of frequencies and progresses in high-speed, high-resolution analog-to-digital converters and signal processors. Existing clinical and FDA approved bench-top ultrasound systems cangenerate real-time high-resolution images at frame rates as high as 10000 frames per second. On the other end of the spectrum, portable and hand-held ultrasound systems can generate high-speed real-time scans, …

Neural Dynamics, Adaptive Computations, And Sensory Invariance In An Olfactory System, Srinath Nizampatnam

McKelvey School of Engineering Graduate Student Theses & Dissertations

Sensory stimuli evoke spiking activities that are patterned across neurons and time in the early processing stages of olfactory systems. What features of these spatiotemporal neural response patterns encode stimulus-specific information (i.e. ‘neural code’), and how they are translated to generate behavioral output are fundamental questions in systems neuroscience. The objective of this dissertation is to examine this issue in the locust olfactory system. In the locust antennal lobe (analogous to the vertebrate olfactory bulb), a neural circuit directly downstream to the olfactory sensory neurons, even simple stimuli evoke neural responses that are complex and dynamic. We found each odorant …

Autologous Stem Cell-Derived Β Cells For Diabetes Cell Replacement Therapy, Kristina G. Maxwell

McKelvey School of Engineering Graduate Student Theses & Dissertations

Autologous stem cell therapy is a promising treatment for patients with diabetes worldwide. Previous stem cell-derived β (SC-β) cell protocols were unable to efficiently differentiate multiple patient induced pluripotent stem cells (iPSCs) into stem cell-derived islets (SC-islets), containing insulin-secreting SC-β cells. Recent updates targeting the actin cytoskeleton have enabled the differentiation of 14 diabetic and nondiabetic stem cell lines into SC-islets. We used genetic engineering, specifically CRISPR/Cas9, to correct the diabetes-causing mutation in stem cells from patients with Wolfram Syndrome. The genetically engineered SC-β cells functioned and had a composition similar to nondiabetic SC-β cells, unlike the unedited SC-β cells …

Multifunctional Polydopamine Nanomaterials For Biomedical And Environmental Applications, Hamed Gholami Derami

McKelvey School of Engineering Graduate Student Theses & Dissertations

Polydopamine (PDA), a synthetic and organic material, has emerged as a promising materialplatform for various applications in energy, environmental, and biomedical fields. PDA, formed by self-polymerization of dopamine, is rich in catechol and amine groups, which facilitate covalent conjugation and/or other non-covalent interactions with organic and inorganic materials. It is highly biocompatible, biodegradable, has broadband light absorption spectrum and excellent light-to-heat conversion efficiency. Also, it is easy to synthesize and functionalize. The combination of excellent characteristics of polydopamine-based nanomaterials, make them a promising adsorbent agent for environmental wastewater treatment and photothermal agent for biomedical applications. In the first half of …

Identify Rna-Associated Subcellular Localizations Based On Multi-Label Learning Using Chou’S 5-Steps Rule, Hao Wang, Yijie Ding, Jijun Tang Ph.D., Quan Zou, Fei Guo

Faculty Publications

Background: Biological functions of biomolecules rely on the cellular compartments where they are located in cells. Importantly, RNAs are assigned in specific locations of a cell, enabling the cell to implement diverse biochemical processes in the way of concurrency. However, lots of existing RNA subcellular localization classifiers only solve the problem of single-label classification. It is of great practical significance to expand RNA subcellular localization into multi-label classification problem.

Results: In this study, we extract multi-label classification datasets about RNA-associated subcellular localizations on various types of RNAs, and then construct subcellular localization datasets on four RNA categories. In order to …