Digital Commons Network^™

Deep-Learning-Based Classification Of Digitally Modulated Signals, John A. Snoap

Electrical & Computer Engineering Theses & Dissertations

This dissertation presents several novel deep-learning (DL)-based approaches for classifying digitally modulated signals, one method of which involves the use of capsule networks (CAPs) together with cyclic cumulant (CC) features of the signals. These were blindly estimated using cyclostationary signal processing (CSP) and were then input into the CAP for training and classification. The classification performance and the generalization abilities of the proposed approach were tested using two distinct datasets that contained the same types of digitally modulated signals but had distinct generation parameters. The results showed that the classification of digitally modulated signals using CAPs and CCs proposed in …

Fabrication Of Smooth Sac305 Thin Films Via Magnetron Sputtering And Evaluations Of Microstructure, Creep, And Electrical Resistivity, Manish Ojha

Mechanical & Aerospace Engineering Theses & Dissertations

SAC305 (96.5%Sn-3%Ag-0.5%Cu) is the leading alternative to the traditional Sn-Pb solder eutectic alloy owing to its low melting temperature, better compatibility with other components, and excellent mechanical/structural properties. In the realm of modern electronics, where devices are increasingly miniaturized, the design and characterization of thin solder joints become paramount. The orientation and size of the grains within the solder can influence its ability to withstand mechanical stresses. However, research on SAC thin films remains sparse, and these films present unique challenges and characteristics compared to their bulk counterparts, influenced by factors like interfaces, stresses, thickness, microstructure, and the nature of …

Tracing And Segmentation Of Molecular Patterns In 3-Dimensional Cryo-Et/Em Density Maps Through Algorithmic Image Processing And Deep Learning-Based Techniques, Salim Sazzed

Computer Science Theses & Dissertations

Understanding the structures of biological macromolecules is highly important as they are closely associated with cellular functionalities. Comprehending the precise organization of actin filaments is crucial because they form the dynamic cytoskeleton, which offers structural support to cells and connects the cell’s interior with its surroundings. However, determining the precise organization of actin filaments is challenging due to the poor quality of cryo-electron tomography (cryo-ET) images, which suffer from low signal-to-noise (SNR) ratios and the presence of missing wedge, as well as diverse shape characteristics of actin filaments. To address these formidable challenges, the primary component of this dissertation focuses …

Using Reciprocal Teaching Strategies To Improve Reading Comprehension For English As A Second Language Students With Learning Disabilities, Hana M. Almohamadi

Theses and Dissertations in Early Childhood Education

Students who have problems comprehending textual material tend to experience failing grades, peer rejection, and even social isolation. Furthermore, students with poor reading comprehension demonstrate poor academic performance in all subjects, not due to difficulty in learning specific subject content (i.e., math, history, etc.), but rather their inability to comprehend reading passages related to that subject knowledge. Reciprocal teaching (RT) is an effective tool for teaching children with Learning Disabilities (LD) to improve their reading comprehension abilities. These multiple cognitive strategies can meet the needs of many students in terms of more deliberate, directed, and self-regulated learning through students’ interaction …

Machine Learning Approach To Activity Categorization In Young Adults Using Biomechanical Metrics, Nathan Q. C. Holland

Mechanical & Aerospace Engineering Theses & Dissertations

Inactive adults often have decreased musculoskeletal health and increased risk factors for chronic diseases. However, there is limited data linking biomechanical measurements of generally healthy young adults to their physical activity levels assessed through questionnaires. Commonly used data collection methods in biomechanics for assessing musculoskeletal health include but are not limited to muscle quality (measured as echo intensity when using ultrasound), isokinetic (i.e., dynamic) muscle strength, muscle activations, and functional movement assessments using motion capture systems. These assessments can be time consuming for both data collection and processing. Therefore, understanding if all biomechanical assessments are necessary to classify the activity …

Lithium Extraction From Aqueous Solution Using Magnesium Doped Lithium Ion-Sieve Composite, Ujjwal Pokharel

Civil & Environmental Engineering Theses & Dissertations

This study focused on the development of a magnesium doped ion-sieve composite to extract lithium from an aqueous solution using adsorption process. The extraction process will provide a sustainable alternative to the currently practiced solar evaporation/concentration method which is very slow (takes 24 months) and water intensive. Currently, most of the lithium in the world comes from the mining of lithium or from the evaporative extraction process from the brine. Additionally, the Salton Sea area geothermal brines are recognized as potentially important domestic sources of lithium. Lithium concentration in geothermal brines from the Salton Sea area is reported to be …

A Mindful Search For Basic Writing Identities: Constellating Contemplative Classroom Pedagogies, Classroom Community Circles, And Critical Discourse Analysis In A Cultural Rhetorics Ecology, Elizabeth Edwards Weems

English Theses & Dissertations

Many Basic Writing students have stories which are informed by traumas, othering, and marginalization. Finding pedagogies which address students’ stories, in addition to meeting academic goals, is crucial. Sometimes, students question how improving their reading and writing skills can help them navigate other areas of their education and experiences, especially their lives outside of academia. I have worked to create a kairotic pedagogy which invites students to read and write ‘the word and the world’ (Freire, 1970; 1988). Using Contemplative Classroom Pedagogies, I attempted to follow Freire’s (1992) call to make “teaching a creative act, a critical act, and not …

Faster, Cheaper, And Better Cfd: A Case For Machine Learning To Augment Reynolds-Averaged Navier-Stokes, John Peter Romano Ii

Mechanical & Aerospace Engineering Theses & Dissertations

In recent years, the field of machine learning (ML) has made significant advances, particularly through applying deep learning (DL) algorithms and artificial intelligence (AI). The literature shows several ways that ML may enhance the power of computational fluid dynamics (CFD) to improve its solution accuracy, reduce the needed computational resources and reduce overall simulation cost. ML techniques have also expanded the understanding of underlying flow physics and improved data capture from experimental fluid dynamics.

This dissertation presents an in-depth literature review and discusses ways the field of fluid dynamics has leveraged ML modeling to date. The author selects and describes …

Switching Methods For Three-Dimensional Rotational Dynamics Using Modified Rodrigues Parameters, Matthew Jarrett Banks

Mechanical & Aerospace Engineering Theses & Dissertations

A rigid body in space has three degrees of rotational freedom. As a result, a minimum of three independent parameters is required to define the three-dimensional orientation of a rigid body. As is well known, every set of three independent parameters has at least one orientation where mathematical or geometrical singularities are encountered; therefore, when the use of a three-parameter representation is desired, a method for singularity avoidance must also be considered. A common practice for singularity avoidance is to switch between parameter sets whose singularities occur at different orientations. With this in mind, modified Rodrigues parameters (MRP) are considered …

A New Method To Determine The Posterior Distribution Of Coefficient Alpha, John Mart V. Delosreyes

Psychology Theses & Dissertations

There is a focus within the behavioral/social sciences on non-physical, psychological constructs (i.e., constructs). These constructs are indirectly measured using measurement instruments that consist of questions that capture the manifestations of these constructs. The indirect nature of measuring constructs results in a need of ensuring that measurement instruments are reliable. The most popular statistic used to estimate reliability is coefficient alpha as it is easy to compute and has properties that make it desirable to use. Coefficient alpha’s popularity has resulted in a wide breadth of research into its qualities. Notably, research about coefficient alpha’s distribution has led to developments …

Optics Studies For Multipass Energy Recovery At Cebaf: Er@Cebaf, Isurumali Neththikumara

Physics Theses & Dissertations

Energy recovery linacs (ERLs), focus on recycling the kinetic energy of electron beam for the purpose of accelerating a newly injected beam within the same accelerating structure. The rising developments in the super conducting radio frequency technology, ERL technology has achieved several noteworthy milestones over the past few decades. In year 2003, Jefferson Lab has successfully demonstrated a single pass energy recovery at the CEBAF accelerator. Furthermore, they conducted successful experiments with IR-FEL demo and upgrades, as well as the UV FEL driver. This multi-pass, multi-GeV range energy recovery demonstration proposed to be carried out at CEBAF accelerator at Jefferson …

Studies Of Flowfields And Dynamic Stability Characteristics Of A Quadrotor, Engin Baris

Mechanical & Aerospace Engineering Theses & Dissertations

Electric multirotor air vehicles have become a pervasive technology and research topic in industry, academia, and daily life, and small quadrotors are one of the most preferred designs in the multirotor marketplace. However, the configuration of the quadrotors makes aerodynamic interaction effects one of the key factors of the vehicle performance in both hover and non-axial forward flight conditions.

In the present work, aerodynamic characteristics of the cross-configured small quadrotor in hover, edgewise, and maneuvering flight modes were investigated in detail by performing static and dynamic wind tunnel tests at various RPM levels, wind speeds, pitch and yaw angles, and …

Crop Tree Management, Jim Frohn

UNH Cooperative Extension

No abstract provided.

Accelerating Training Of Mlips Through Small-Cell Training, Jason A. Meziere, Yu Luo, Yi Xia, Laurent Karim Béland, Mark R. Daymond

Mechanical and Materials Engineering Faculty Publications and Presentations

While machine-learned interatomic potentials have become a mainstay for modeling materials, designing training sets that lead to robust potentials is challenging. Automated methods, such as active learning and on-the-fly learning, construct reliable training sets, but these processes can be resource-intensive. Current training approaches often use density functional theory (DFT) calculations that have the same cell size as the simulations that the potential is explicitly trained to model. Here, we demonstrate an easy-to-implement small-cell training protocol and use it to model the Zr-H system. This training leads to a potential that accurately predicts known stable Zr-H phases and reproduces the α-β …

Improved Temperature Dependence Of Rate Coefficients For Rotational State-To-State Transitions In H2O + H2O Collisions, Bikramaditya Mandal, Dmitri Babikov

Chemistry Faculty Research and Publications

Aims. We present an improved database of temperature-dependent rate coefficients for rotational state-to-state transitions in H₂O + H₂O collisions. The database includes 231 transitions between the lower para-states of H₂O and 210 transitions between its lower ortho-states (up to j = 7) and can be employed in cometary and planetary applications up to the temperature of 1000 K.

Methods. We developed and applied a new general method that allows the generation of rate coefficients for excitation and quenching processes that automatically satisfy the principle of microscopic reversibility and also helps to cover …

Neural Complexity Eeg Biomarkers Of Rapid And Post-Rapid Ketamine Effects In Late-Life Treatment-Resistant Depression: A Randomized Control Trial, Nicholas Murphy, Amanda J F Tamman, Marijn Lijffijt, Dania Amarneh, Sidra Iqbal, Alan Swann, Lynnette A Averill, Brittany O'Brien, Sanjay J Mathew

Staff and Researcher Publications

Ketamine is an effective intervention for treatment-resistant depression (TRD), including late-in-life (LL-TRD). The proposed mechanism of antidepressant effects of ketamine is a glutamatergic surge, which can be measured by electroencephalogram (EEG) gamma oscillations. Yet, non-linear EEG biomarkers of ketamine effects such as neural complexity are needed to capture broader systemic effects, represent the level of organization of synaptic communication, and elucidate mechanisms of action for treatment responders. In a secondary analysis of a randomized control trial, we investigated two EEG neural complexity markers (Lempel-Ziv complexity [LZC] and multiscale entropy [MSE]) of rapid (baseline to 240 min) and post-rapid ketamine (24 …

Convergent Escape Behaviour From Distinct Visual Processing Of Impending Collision In Fish And Grasshoppers, Alexander F Mendoza, Bidisha Halder, Thomas Preuss, Fabrizio Gabbiani

Faculty, Staff and Students Publications

In animal species ranging from invertebrate to mammals, visually guided escape behaviours have been studied using looming stimuli, the two-dimensional expanding projection on a screen of an object approaching on a collision course at constant speed. The peak firing rate or membrane potential of neurons responding to looming stimuli often tracks a fixed threshold angular size of the approaching stimulus that contributes to the triggering of escape behaviours. To study whether this result holds more generally, we designed stimuli that simulate acceleration or deceleration over the course of object approach on a collision course. Under these conditions, we found that …

Ethics Education For Healthcare Professionals In The Era Of Chatgpt And Other Large Language Models: Do We Still Need It?, Vasiliki Rahimzadeh, Kristin Kostick-Quenet, Jennifer Blumenthal Barby, Amy L Mcguire

Center for Medical Ethics and Health Policy Staff Publications

In this paper, we contend with whether we still need traditional ethics education as part of healthcare professional training given the abilities of chatGPT (generative pre-trained transformer) and other large language models (LLM). We reflect on common programmatic goals to assess the current strengths and limitations of LLMs in helping to build ethics competencies among future clinicians. Through an actual case analysis, we highlight areas in which chatGPT and other LLMs are conducive to common bioethics education goals. We also comment on where such technologies remain an imperfect substitute for human-led ethics teaching and learning. Finally, we conclude that the …

Conformational Landscapes Of Symmetrically Fluorine-Substituted Benzoic Acids I: Microwave Spectroscopic And Theoretical Studies On 3,5-Difluorobenzoic Acid, Alitza Gracia, Jingling Hong, Rebakah Arismendi, Mingfei Zhou, Weixing Li, Wei Lin

Physics & Astronomy Faculty Publications

We report our combined theoretical and spectroscopic studies on 3,5-difluorobenzoic acid. Using a chirped pulse Fourier transform microwave (CP-FTMW) spectrometer, we recorded and analyzed the rotational spectrum spanning the frequency range of 6 – 12.5 GHz. Quantum chemical calculations were employed to analyze the conformational changes and landscapes of 3,5-difluorobenzoic acid. These calculations focused on studying the potential energy surfaces along the CCCO and OCOH dihedral angles at the B3LYP/6-311G level. Based on the computational results, we identified the global minimum conformer 1 as well as the local minimum conformer 2. We discussed and interpreted the geometric structures of the …

Characterizing Allosteric Regulation And Conformational Dynamics In Staphylococcus Aureus Pyruvate Carboxylase, Amanda Joan Laseke

Dissertations (1934 -)

Pyruvate carboxylase (PC) produces oxaloacetate from pyruvate and bicarbonatein an ATP-dependent manner. The catalytic activity of PC places it at a pivotal intersection between catabolism and anabolism. Understanding the essential metabolic role of PC requires a more complete description of how its activity is regulated and how that regulation is manifested through changes in conformational dynamics. PC activity is regulated by the mutually exclusive binding of the allosteric activator, acetyl-CoA, and the allosteric inhibitor, L-aspartate. The binding site for acetyl- CoA has largely been identified, but the binding location for the acetyl moiety is unknown. Given that the acetyl moiety …

Underrepresentation Of Women In Exercise Science And Physiology Research Is Associated With Authorship Gender, Jessica J. James, Emilie A. Klevenow, Mira A. Atkinson, Emma E. Vosters, Elizabeth P. Bueckers, Meagan E. Quinn, Samantha L. Kindy, Azara P. Mason, Sophia K. Nelson, Kennedy A. H. Rainwater, Petra V. Taylor, Elena P. Zippel, Sandra K. Hunter

Exercise Science Faculty Research and Publications

Historically, low representation of women participants in exercise science and physiology studies has led to a lack of understanding in the response of women to exercise and therapeutic interventions. We hypothesized that 1) the number of women authors, participants, and editorial board members increased over 30 years (1991–2021) and 2) larger representation of women as editors and authors is associated with more women participants. Gender (man/woman) of editorial board members (n = 394), authors (n = 5,735), and participants (n = 2,984,883) of 972 original research articles with human participants published in 1991 and 2021 …

Multivariable State Feedback Pid Control With Eigenvalue Assignment Via Linear Matrix Inequalities, Timothy Alexander Goodwin

Master's Theses (2009 -)

Proportional Integral Derivative control is the most dominant control technique used in industrial applications. Multivariable systems typically have multiple inputs and outputs which means the number of individual PID controllers and gains to be increased. The tuning of these systems to meet specific performance criteria would be impractical in these situations. The transient performance of a system can be modeled through the locations of its poles and zeros and through pole placement, we can mold the response to meet certain criteria. Linear Matrix Inequalities is an efficient way to solve this pole placement problem through the use of Regional Eigenvalue …

Comparison Of A Patient-Specific Computed Tomography Organ Dose Software With Commercial Phantom-Based Tools, Bindu P. Bhat

Master's Theses (2009 -)

Computed Tomography imaging is an important diagnostic tool but carries some risk due to radiation dose used to form the image. Currently, CT scanners report a measure of radiation dose for each scan that reflects the radiation emitted by the scanner, not the radiation dose absorbed by the patient. The radiation dose absorbed by organs, known as organ dose, is a more relevant metric that is important for risk assessment and CT protocol optimization. Tools for rapid organ-dose estimation are available but are limited to using general patient models. These publicly available tools are unable to model patient-specific anatomy and …

Internalizing Symptoms In Autistic Young Adults: Comparing The Cognitive And Physiological Components Of Emotion Regulation, Sarah Lehman

Master's Theses (2009 -)

Autistic people experience co-occurring mental illness at a substantially greater rate compared to their neurotypical counterparts. Of these comorbid psychopathologies, internalizing disorders (anxiety and depression) are among the most prevalent. Emotion dysregulation has been identified as a contributing factor to this phenomenon and potential treatment target. The current study employed cognitive (e.g., use of suppression and use of cognitive reappraisal) and physiological (e.g., respiratory sinus arrhythmia (RSA) and heart period) measures to more holistically capture the multifaceted construct of emotion regulation compared to prior research. In a sample of autistic young adults (N = 63) ages 17-29 (M = 20.14), …

Effects Of Thermocycling And Hydrolytic Aging On The Flexural Strength Of Additively Manufactured Restorative Materials, Steven Mustafa Abu Al Tamn

Master's Theses (2009 -)

Introduction: Additive manufacturing is being integrated into various aspects of clinical prosthodontics due to its potential for use in various indications and the promise of improved clinical efficiency and properties.Objective: The purpose of this in-vitro study was to evaluate the flexural strength of two 3D-printed resin composites in relation to a conventionally fabricated resin composite after being subjected to two different artificial aging methods: thermocycling and distilled water storage. Material and methods: A total of 220 samples were fabricated (N=220); 72 samples were fabricated from Integrity composite (Dentsply Sirona) and 148 samples were fabricated from two 3D-printed composite materials MFH …

Reduced Bias User Preference Methods For Determining The Pareto-Optimal Solution Point, Dylan Thomas Johnson

Master's Theses (2009 -)

Engineering design is filled with tradeoffs between competing objectives such as performance, mass, cost, and schedule. A designer must navigate these complex multi-objective problems and deliver the right solution for their application. Multi-objective optimization techniques are powerful and widely used; however, a key drawback to these techniques is that they often output a set of equivalent solutions called the Pareto Front. The designer must perform an additional multi-objective down selection on the Pareto Front to determine a single Pareto-optimal solution point for their design. Existing Pareto Front processing techniques either use traditional infinitely adjustable weights, which can yield results that …

Improving Benign Paroxysmal Positional Vertigo Diagnosis, Sida Zhang

Master's Theses (2009 -)

Benign Paroxysmal Positional Vertigo (BPPV) is one of the most common causes of dizziness. Especially for people over 45, the risk of BPPV is substantial. On the other hand, BPPV is often misdiagnosed and may require expensive examinations. This thesis introduces a prediction model based on machine learning to quickly, inexpensively, and accurately diagnose BPPV. The thesis starts by introducing BPPV and the statistics of BPPV misdiagnosis. Then, a patient survey is introduced. The patient survey includes 50 BPPV-related questions, which are used as training data for the machine learning model. Logistic Regression, Decision Tree, and Naïve Bayes were compared …

Wooster Magazine: The President's Annual Report 2022-23, Caitlin Paynich Stanowick

Wooster Magazine: 2021-2030

The President’s Annual Report 2022-23 fall edition of Wooster magazine highlights the many ways The College of Wooster Community has supported the College mission in the past year and offers a look ahead at what’s next at Wooster. The annual financial report details College operating revenues and expenses and the year’s giving and fundraising activity. Donors who found ways to support programs and priorities at Wooster in the past year that enhance student experiences and the College community are featured, including gifts supporting scholarships and student success, sustainability, and library services. The issue also highlights the 30th Anniversary of the …

Predictive Analytics With Class Imbalance: In Personalized Travel Recommendation And Automotive Crash Injury Research, Paromita Shithi Nitu

Dissertations (1934 -)

In recent years of information abundance, most real-world dataset encounters imbalance data distribution. Thus, machine learning and data mining predictive model requires careful adaptation for domain specific class imbalance situation. In this dissertation, an extensive search for ensemble algorithm modification has been performed to obtain thoracolumbar spine fracture (TL-fx) feature space since it shows an increasing incidence rate as a function of vehicle model year in automotive crash injury data base. Crash injury data has unique multilevel replication and nested pattern and no machine learning model performed adequately for class imbalance TL-fx. The aim of this dissertation is to develop …

Open-Cast Mining Deformations Monitoring Using Sentinel-1 Sar Data (Sbas Technique), Mahvash Naddaf Sangani, Seyed Reza Hosseinzadeh, José Francisco Martín Duque, Mahnaz Jahadi Toroghi, Kapil Kumar Malik

Journal of Sustainable Mining

Land surface deformation created by mining activities can have negative impacts on the environment. Measuring them can be a tool for managing the environmental impacts of mining. Synthetic Aperture Radar Interferometry is a remote sensing method for measuring deformations. The main aim of this research is to investigate the deformation phenomenon on a region scale and extend our understanding of it to all mining deformation areas across the country. This paper used Small Baseline Subset Interferometric Synthetic Aperture Radar technology to obtain deformations information in the Sangan mine based on mining activities. We used 48 scenes of Single Look Complex(SLC) …