Digital Commons Network^™

A Statistical Approach For Analyzing Expectations Alignment Between Design Teams And Their Project Stakeholders, Matthew Christian Goodson

Theses and Dissertations

Successful project management requires continuous communication aligning the expectations between project stakeholders and the project team. Expectations include both product expectations (how the product will look, feel, and perform) and programmatic expectations (timelines, deliverables, expenditure of project resources). In order to make the most effective use of project resources throughout the life of the project, a process or tool for quickly aligning expectations as closely as possible should be employed early on in the project. Project management literature is lacking in tools for aligning expectations, and solutions and best practices need to be determined since the current best option is …

Editorial: Disease Biomarker Analysis Based On Optical Biosensing, Tianshu Chen, Fanben Meng, Binwu Ying, Xiaoli Zhu

Department of Mechanical and Materials Engineering: Faculty Publications

Disease biomarker analysis has become a crucial tool for diagnosing and evaluating disease prognosis, especially with the increasing understanding of diseases at the molecular level. Abnormalities in various biomarkers can indicate diseased states, and can be used to rapidly and specifically detect and quantify diseases using optical biosensing techniques (Gao et al., 2023). Optical biosensing techniques have several advantages over traditional methods including higher sensitivity, specificity, and faster analysis times (Plikusiene and Ramanaviciene, 2023). It also allows for non-invasive sample collection. With advancements in optical biosensing technology, many medical conditions including cancers, infectious diseases, and autoimmune disorders can be accurately …

Editorial: Disease Biomarker Analysis Based On Optical Biosensing, Tianshu Chen, Fanben Meng, Binwu Ying, Xiaoli Zhu

Department of Mechanical and Materials Engineering: Faculty Publications

Disease biomarker analysis has become a crucial tool for diagnosing and evaluating disease prognosis, especially with the increasing understanding of diseases at the molecular level. Abnormalities in various biomarkers can indicate diseased states, and can be used to rapidly and specifically detect and quantify diseases using optical biosensing techniques (Gao et al., 2023). Optical biosensing techniques have several advantages over traditional methods including higher sensitivity, specificity, and faster analysis times (Plikusiene and Ramanaviciene, 2023). It also allows for non-invasive sample collection. With advancements in optical biosensing technology, many medical conditions including cancers, infectious diseases, and autoimmune disorders can be accurately …

Region-Specified Inverse Design Of Absorption And Scattering In Nanoparticles By Using Machine Learning, Alex Vallone, Nooshin M. Estakhri, Nasim Mohammadi Estrakhri

Engineering Faculty Articles and Research

Machine learning provides a promising platform for both forward modeling and the inverse design of photonic structures. Relying on a data-driven approach, machine learning is especially appealing for situations when it is not feasible to derive an analytical solution for a complex problem. There has been a great amount of recent interest in constructing machine learning models suitable for different electromagnetic problems. In this work, we adapt a region-specified design approach for the inverse design of multilayered nanoparticles. Given the high computational cost of dataset generation for electromagnetic problems, we specifically investigate the case of a small training dataset, enhanced …

Enhancing Neural Text Detector Robustness With Μattacking And Rr-Training, Gongbo Liang, Jesus Guerrero, Fengbo Zheng, Izzat Alsmadi

Computer Science Faculty Publications (Archived)

With advanced neural network techniques, language models can generate content that looks genuinely created by humans. Such advanced progress benefits society in numerous ways. However, it may also bring us threats that we have not seen before. A neural text detector is a classification model that separates machine-generated text from human-written ones. Unfortunately, a pretrained neural text detector may be vulnerable to adversarial attack, aiming to fool the detector into making wrong classification decisions. Through this work, we propose µAttacking, a mutation-based general framework that can be used to evaluate the robustness of neural text detectors systematically. Our experiments demonstrate …

Effect Of Foliar Application Of Dse Fungal Solution On Growth Of Morus Alba And Its Prospects Of Ecological Restoration Application, Bi Yinli, Wang Zhuoyou, Ke Zengming

Coal Geology & Exploration

Microbial reclamation technology has been widely used in the ecological restoration of western arid and semi-arid coal mining areas. Convenient application of microbial agent has important significance for improving the efficiency of ecological management in coal-mining subsidence. Herein, this study tested with Morus alba as the study object, and the dark septate endophyte (DSE) as the test fungus. using a greenhouse pot experiment with three treatments, which including the root inoculation of DSE fungus (GXZR), foliar application of DSE fungus (YMTM) and control Morus alba (CK), this study investigated the effects of different inoculation methods on the growth of Morus …

The Toxicology Of Particulate Matter Emitted From Coal Combustion And The Geological Origin Of Lung Cancer Epidemic In Xuanwei City, Yunan Province, China, Shao Longyi, Zhang Mengyuan, Feng Xiaolei, Jiao Jiewei, Wang Wenhua, Zhou Yiping

Coal Geology & Exploration

Xuanwei City in Yunnan Province is the area struck by the most severe lung cancer in China, with the incidence and mortality of lung cancer ranking first in the world. The study of genomics of lung cancer patients has shown that lung cancer in Xuanwei City has distinctive genetic characteristics and a unique incidence mode related to the environment. This study reviewed the epidemiological characteristics of the lung cancer epidemic in Xuanwei, as well as the level of pollution and toxicological characteristics of emissions from coal combustion. Moreover, this study discussed the geological origins of the lung cancer epidemic in …

The Effects Of Energy Drinks On Muscles Using Electromyography (Emg) Sensors- A Work In Progress, Molly Elder

Liberty University Research Week

Undergraduate

Applied

Design Of A Manufacturing Process For The Fabrication And Testing Of Electromechanical Transduction In Stretchable Electronics, Matthew Marcinko

Liberty University Research Week

Undergraduate

Applied

Advancing Real-Time Brain Computer Interface With Electroencephalography, Nathan Child

Liberty University Research Week

Undergraduate

Applied

Promoting Skills In Children And Teens With Autism Spectrum Disorder Through Play And Steam, Meaghan Mcleod Mozingo, Krzysztof J. Rechowicz

Modeling, Simulation and Visualization Student Capstone Conference

Individuals with autism spectrum disorder (ASD) have a low employment rate. This is caused by a lack of support from employment resources and the negative stigma associated with common characteristics associated with ASD. With limited career-building activities and events, it is difficult for individuals with ASD to identify their skills, strengths, and career opportunities. Parental support is crucial when seeking employment opportunities for their children. Through the use of play, children with ASD engaged and explored their skills with science, technology, engineering, arts, and math-centered activities. This paper highlights the events and shows the proposed redesign for an additional workshop.

Multiple Case Study Of Science And Engineering Integration In Secondary School Across Six School Districts, Elizabeth Hasseler, Elizabeth B. Lewis

Department of Teaching, Learning, and Teacher Education: Faculty Publications

A multiple case study was conducted to investigate six districts’ approaches to integrating science and engineering curricula in their secondary education programs. Data collected included classroom observations, interviews with teachers and administrators, college transcripts, professional development, and curriculum, as well as how, and how district personnel supported, and teachers enacted classroom instruction to align with the Next Generation Science Standards (NGSS). Six districts were chosen due to their ranges in their size, urban or rural context, and demographics. There were 25 participants in the study who were either district personnel or secondary teachers. All school districts in the study incorporated …

Perfusion Pressure-Flow Relationships In Synthetic Poroelastic Vocal Fold Models, Cooper B. Thacker

Theses and Dissertations

The purpose of this research was to study perfusion pressure-flow relationships in self-oscillating synthetic poroelastic vocal fold (VF) models before, during, and after vibration. This was accomplished by developing a custom ultra-soft poroelastic material, incorporating the poroelastic material as the cover layer in a synthetic VF model, and studying the model vibratory response and the flow rate of fluid perfused through the cover layer while undergoing flow-induced vibration. The custom ultra-soft poroelastic material was developed using the method of direct templating with sucrose spheres as the sacrificial template and silicone as the infiltration medium. The average modulus of elasticity of …

Laboratory Evaluation Of The Geotechnical Properties Of Biochar-Amended Clay, Brett Natelborg

Senior Honors Theses

The upkeep and rehabilitation of infrastructure damage related to the shrinking and swelling of expansive soils have cost the United States billions of dollars. Biochar, an innovative and eco-friendly additive proven to improve soil permeability, nutrient retention, and mechanical properties, is investigated as an additive to Mississippi chalk. The index properties of the chalk were determined and used to characterize its nature. The geotechnical engineering properties of the chalk amended with 6% and 12% biochar were evaluated via the Proctor compaction, compression, and direct shear tests. Results were analyzed to make comparative remarks on how the behavior of the chalk …

Implementation Of Static Rfid Landmarks In Slam For Planogram Compliance, Brennan L. Drake

Honors College Theses

Autonomous robotic systems are becoming increasingly prevalent in everyday life and exhibit robust solutions in a wide range of applications. They face many obstacles with the foremost of which being SLAM, or Simultaneous Localization and Mapping, that encompasses both creation of the map of an unknown environment and localization of the robot in said environment. In this experiment, researchers propose the use of RFID tags in a semi-dynamic commercial environment to provide concrete landmarks for localization and mapping in pursuit of increased locational certainty. With this obtained, the ultimate goal of the research is to construct a robotics platform for …

The Impact Of Solution Ionic Strength, Hardness, And Ph On The Sorption Efficiency Of Polychlorinated Biphenyls In Magnetic Nanocomposite Microparticle (Mnm) Gels, Angela M. Gutierrez, Thomas D. Dziubla, J. Zach Hilt

Chemical and Materials Engineering Faculty Publications

Environmental conditions of groundwater and surface water greatly vary as a function of location. Factors such as ionic strength, water hardness, and solution pH can change the physical and chemical properties of the nanocomposites used in remediation and the pollutants of interest. In this work, magnetic nanocomposite microparticle (MNM) gels are used as sorbents for remediation of PCB 126 as model organic contaminant. Three MNM systems are used: curcumin multiacrylate MNMs (CMA MNMs), quercetin multiacrylate MNMs (QMA MNMs), and polyethylene glycol-400-dimethacrylate MNMs (PEG MNMs). The effect of ionic strength, water hardness, and pH were studied on the sorption efficiency of …

Considering The Influence Of Coronary Motion On Artery‑Specific Biomechanics Using Fluid–Structure Interaction Simulation, Nicholas A. T. Fogell, Miten Patel, Pan Yang, Roosje M. Ruis, David B. Garcia, Jarka Naser, Fotios Savvopoulos, Clint Davies Taylor, Anouk L. Post, Ryan M. Pedrigi, Ranil De Silva, Rob Krams

Department of Mechanical and Materials Engineering: Faculty Publications

The endothelium in the coronary arteries is subject to wall shear stress and vessel wall strain, which influences the biology of the arterial wall. This study presents vessel-specific fluid–structure interaction (FSI) models of three coronary arteries, using directly measured experimental geometries and boundary conditions. FSI models are used to provide a more physiologically complete representation of vessel biomechanics, and have been extended to include coronary bending to investigate its effect on shear and strain. FSI both without- and with-bending resulted in significant changes in all computed shear stress metrics compared to CFD (p = 0.0001). Inclusion of bending within …

Optimization Of Material Flow Of Woodshop Through Layout Redesign, Madison Wegner

Honors Theses

A local high-design outdoor site furniture company – Landscape Forms – worked with the senior design team to create alternative layouts for the woodshop within the company. This senior project will offer three categories of alternative layouts: short, mid, and long term. By offering multiple time frame layouts, Landscape Forms will be able to implement changes based on time frame and need. A project plan indicates all tasks required to meet these objectives as well as a timeline for accomplishing this plan. Research including worker movement diagrams, stakeholder interviews incorporating woodshop employees and engineers, a man and machine utilization study, …

Haptic Systems: Trends And Lessons Learned For Haptics In Spacesuits, Mohammad Amin Kuhail, Jose Berengueres, Fatma Taher, Mariam Alkuwaiti, Sana Z. Khan

All Works

Haptic technology uses forces, vibrations, and movements to simulate a sense of touch. In the context of spacesuits, proposals to use haptic systems are scant despite evidence of their efficacy in other domains. Existing review studies have sought to summarize existing haptic system applications. Despite their contributions to the body of knowledge, existing studies have not assessed the applicability of existing haptic systems in spacesuit design to meet contemporary challenges. This study asks, “What can we learn from existing haptic technologies to create spacesuits?”. As such, we examine academic and commercial haptic systems to address this issue and draw insights …

First Episodic Atmospheric Deposition Of Nutrients To Utah Lake: Statistical Analysis And Characterization, Cristian Alun Dorrett

Theses and Dissertations

Atmospheric deposition (AD) is a significant but poorly understood source of nutrients to many aquatic systems around the world. Accurate characterization of the nutrient budgets of aquatic systems is critical to good management decisions, so a better understanding of AD-related nutrient loads is essential, especially for water bodies where nutrient loads from atmospheric deposition are significant. Due to its large surface area, proximity to Great Basin dust sources, high values of atmospheric particulates due to inversions, and the high phosphorus content of local soils, Utah Lake, in the semi-arid Utah Valley, USA, experiences significant phosphorus loading from AD. The lake …

Stretchable Sensors For Soft Robotic Grippers In Edge-Intelligent Iot Applications, Prosenjit Kumar Ghosh, Prabha Sundaravadivel

Electrical Engineering Faculty Publications and Presentations

The rapid development of electronic material and sensing technology has enabled research to be conducted on liquid metal-based soft sensors. The application of soft sensors is widespread and has many applications in soft robotics, smart prosthetics, and human-machine interfaces, where these sensors can be integrated for precise and sensitive monitoring. Soft sensors can be easily integrated for soft robotic applications, where traditional sensors are incompatible with robotic applications as these types of sensors show large deformation and very flexible. These liquid-metal-based sensors have been widely used for biomedical, agricultural and underwater applications. In this research, we have designed and fabricated …

Femtotesla Magnetometry And Nanoscale Imaging With Color Centers In Diamond, Yaser Silani

Optical Science and Engineering ETDs

Intriguing photophysical properties of color centers in diamond make them ideal candidates for many applications from imaging and sensing to quantum networking. In the first part of this work, we have studied the silicon vacancy (SiV) centers in diamond for nanoscale imaging applications. We showed that these centers are promising fluorophores for Stimulated Emission Depletion (STED) microscopy, owing to their photostable, near-infrared emission and favorable photophysical properties. In the second part, we built a femtotesla Radio-Frequency (RF) magnetometer based on the diamond nitrogen vacancy (NV) centers and magnetic flux concentrators. We used this sensor to remotely detect Nuclear Quadrupole Resonance …

Utilizing Robust Design To Optimize Composite Bioadhesive For Promoting Dermal Wound Repair, Rattapol Pinnaratip, Zhongtian Zhang, Ariana Smies, Pegah Kord Forooshani, Xiaoqing Tang, Rupak Rajachar, Bruce Lee

Michigan Tech Publications, Part 1

Catechol-modified bioadhesives generate hydrogen peroxide (H2O2) during the process of curing. A robust design experiment was utilized to tune the H2O2 release profile and adhesive performance of a catechol-modified polyethylene glycol (PEG) containing silica particles (SiP). An L9 orthogonal array was used to determine the relative contributions of four factors (the PEG architecture, PEG concentration, phosphate-buffered saline (PBS) concentration, and SiP concentration) at three factor levels to the performance of the composite adhesive. The PEG architecture and SiP wt% contributed the most to the variation in the results associated with the H2O2 release profile, as both factors affected the crosslinking …

Bubble Wand Activity, Admin Stem For Success

STEM for Success Showcase

Students use this activity to practice their engineering skills by building a bubble wand.

Activity Video Link: https://www.youtube.com/watch?time_continue=15&v=wx0-NrAnE6c&feature=emb_logo

Image Analysis Methodology For Evaluating Coating Uniformity Of Drug-Coated Angioplasty Balloons, Allison Dobson Zieschang

LSU Master's Theses

Percutaneous transluminal balloon angioplasty (PTA) is a surgical procedure to treat peripheral artery disease, but restenosis causes suboptimal outcomes in many patients. Drug-coated angioplasty balloons (DCBs) were developed to reduce the risk of restenosis by delivering anti-proliferative drugs to the lesion. The efficacy of DCBs depends on factors like drug loading and drug release rate, both of which are directly impacted by the coating uniformity. This thesis evaluates the uniformity of DBCs using fluorescence microscopy, scanning electron microscopy (SEM), qualitative analysis, and an image processing algorithm. Uniformity was quantified by three measurements: histogram standard deviation, histogram percentage of coverage, and …

Current Trends In Brain Computer Interface : A Review, Bishal Kumar Gupta, Akash Kr Bhoi, Tawal Kumar Koirala

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

A Preliminary Study Of The Efficacy Of Using A Wrist-Worn Multiparameter Sensor For The Prediction Of Cognitive Flow States In University-Level Students, Josephine Graft, William Romine, Brooklynn Watts, Noah Schroeder, Tawsik Jawad, Tanvi Banerjee

Computer Science and Engineering Faculty Publications

Engagement is enhanced by the ability to access the state of flow during a task, which is described as a full immersion experience. We report two studies on the efficacy of using physiological data collected from a wearable sensor for the automated prediction of flow. Study 1 took a two-level block design where activities were nested within its participants. A total of five participants were asked to complete 12 tasks that aligned with their interests while wearing the Empatica E4 sensor. This yielded 60 total tasks across the five participants. In a second study representing daily use of the device, …

Evaluation Of The Dynamic Vision Sensor’S Photoreceptor Circuit For Infrared Event-Based Sensing, Zinah M. Alsaad

Electrical and Computer Engineering ETDs

For space surveillance applications, neuromorphic imaging is being studied as it may perform sensing and tracking tasks with less power and downstream datalink demand. The read-out of the event-based camera is made to only be sensitive to changes in the signals it receives from the photodetector, which results in a datastream of events indicating where and when changes in illumination occur. This is in contrast to the conventional framing camera, which produces images by essentially counting the electrons produced by light incident on each pixel’s photodetector. These cameras are commercially available with siliconbased detectors for applications involving visible wavelengths. However, …

Examination Of Biomedical Samples Using The Smartphone-Based Imaging Device And Analysis Of Captured Images, Yashovardhan ., Shree Hasta, Vishwanath Managuli, Sindhoora Kaniyala Melanthota, Nirmal Mazumder

Manipal Research Colloquium - 2023

Manipal Research Colloquium- 2023 aims to bring students, scholars, and scientists to this forum where discussion on a diverse range of topics from various streams (Health Sciences, Technical Sciences, Basic & Applied Sciences, Humanities & Social Sciences, and Management Sciences) will be taking place.

Progress Report On The Effect Of Introducing Biological And Environmental Discipline-Themed Problems In Engineering Mechanics Statics On Students’ Self-Efficacy And Perceived Value Of The Course, Yemisi Oyewola

Student Research Symposium

This study extends the previous research which examined the effect of introducing biological and environmental discipline-themed problems in Engineering Mechanics Statics on students’ Self-Efficacy (SE) and perceived value (PV) of the course. The previous research was carried out using pooled data from 133 participants over 3 semesters. Additional data from 126 participants were collected over the next two semesters making it a total of 262 participants. The result from the previous study showed a statistically significant increase in the perceived value of the students even though their self-efficacy did not significantly change. However, despite an increased sample size, the result …