Digital Commons Network^™

A Comparison Of Two Hormonal Fertility Monitoring Systems For Ovulation Detection: A Pilot Study, Qiyan Mu, Richard J. Fehring

College of Nursing Faculty Research and Publications

Background and Objectives: Accuracy in detecting ovulation and estimating the fertile window in the menstrual cycle is essential for women to avoid or achieve pregnancy. There has been a rapid growth in fertility apps and home ovulation testing kits in recent years. Nevertheless, there lacks information on how well these apps perform in helping users understand their fertility in the menstrual cycle. This pilot study aimed to evaluate and compare the beginning, peak, and length of the fertile window as determined by a new luteinizing hormone (LH) fertility tracking app with the Clearblue Fertility Monitor (CBFM).

Materials and Methods: A …

Acoustic-To-Articulatory Speech Inversion Features For Mispronunciation Detection Of/ɹ/In Child Speech Sound Disorders, Nina R. Benway, Yashish M. Siriwardena, Jonathan L. Preston, Elaine Hitchcock, Tara Mcallister, Carol Espy-Wilson

Department of Communication Sciences and Disorders Faculty Scholarship and Creative Works

Acoustic-to-articulatory speech inversion could enhance automated clinical mispronunciation detection to provide detailed articulatory feedback unattainable by formant-based mispronunciation detection algorithms; however, it is unclear the extent to which a speech inversion system trained on adult speech performs in the context of (1) child and (2) clinical speech. In the absence of an articulatory dataset in children with rhotic speech sound disorders, we show that classifiers trained on tract variables from acoustic-to-articulatory speech inversion meet or exceed the performance of state-of-the-art features when predicting clinician judgment of rhoticity.

Mwirgan: Unsupervised Visible-To Mwir Image Translation With Generative Adversarial Network, Mohammad Shahab Uddin, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Unsupervised image-to-image translation techniques have been used in many applications, including visible-to-Long-Wave Infrared (visible-to-LWIR) image translation, but very few papers have explored visible-to-Mid-Wave Infrared (visible-to-MWIR) image translation. In this paper, we investigated unsupervised visible-to-MWIR image translation using generative adversarial networks (GANs). We proposed a new model named MWIRGAN for visible-to-MWIR image translation in a fully unsupervised manner. We utilized a perceptual loss to leverage shape identification and location changes of the objects in the translation. The experimental results showed that MWIRGAN was capable of visible-to-MWIR image translation while preserving the object’s shape with proper enhancement in the translated images and …

The Effect Of The Width Of The Incident Pulse To The Dielectric Transition Layer In The Scattering Of An Electromagnetic Pulse — A Qubit Lattice Algorithm Simulation, George Vahala, Linda Vahala, Abhay K. Ram, Min Soe

Electrical & Computer Engineering Faculty Publications

The effect of the thickness of the dielectric boundary layer that connects a material of refractive index n₁ to another of index n₂is considered for the propagation of an electromagnetic pulse. A qubit lattice algorithm (QLA), which consists of a specially chosen non-commuting sequence of collision and streaming operators acting on a basis set of qubits, is theoretically determined that recovers the Maxwell equations to second-order in a small parameter ϵ. For very thin boundary layer the scattering properties of the pulse mimics that found from the Fresnel jump conditions for a plane wave - except that …

View Synthesis With Scene Recognition For Cross-View Image Localization, Uddom Lee, Peng Jiang, Hongyi Wu, Chunsheng Xin

Electrical & Computer Engineering Faculty Publications

Image-based localization has been widely used for autonomous vehicles, robotics, augmented reality, etc., and this is carried out by matching a query image taken from a cell phone or vehicle dashcam to a large scale of geo-tagged reference images, such as satellite/aerial images or Google Street Views. However, the problem remains challenging due to the inconsistency between the query images and the large-scale reference datasets regarding various light and weather conditions. To tackle this issue, this work proposes a novel view synthesis framework equipped with deep generative models, which can merge the unique features from the outdated reference dataset with …

Toward Real-Time, Robust Wearable Sensor Fall Detection Using Deep Learning Methods: A Feasibility Study, Haben Yhdego, Christopher Paolini, Michel Audette

Electrical & Computer Engineering Faculty Publications

Real-time fall detection using a wearable sensor remains a challenging problem due to high gait variability. Furthermore, finding the type of sensor to use and the optimal location of the sensors are also essential factors for real-time fall-detection systems. This work presents real-time fall-detection methods using deep learning models. Early detection of falls, followed by pneumatic protection, is one of the most effective means of ensuring the safety of the elderly. First, we developed and compared different data-segmentation techniques for sliding windows. Next, we implemented various techniques to balance the datasets because collecting fall datasets in the real-time setting has …

Adaptive Critic Network For Person Tracking Using 3d Skeleton Data, Joseph G. Zalameda, Alex Glandon, Khan M. Iftekharuddin, Mohammad S. Alam (Ed.), Vijayan K. Asari (Ed.)

Electrical & Computer Engineering Faculty Publications

Analysis of human gait using 3-dimensional co-occurrence skeleton joints extracted from Lidar sensor data has been shown a viable method for predicting person identity. The co-occurrence based networks rely on the spatial changes between frames of each joint in the skeleton data sequence. Normally, this data is obtained using a Lidar skeleton extraction method to estimate these co-occurrence features from raw Lidar frames, which can be prone to incorrect joint estimations when part of the body is occluded. These datasets can also be time consuming and expensive to collect and typically offer a small number of samples for training and …

Deep-Learning-Based Classification Of Digitally Modulated Signals Using Capsule Networks And Cyclic Cumulants, John A. Snoap, Dimitrie C. Popescu, James A. Latshaw, Chad M. Spooner

Electrical & Computer Engineering Faculty Publications

This paper presents a novel deep-learning (DL)-based approach for classifying digitally modulated signals, which involves the use of capsule networks (CAPs) together with the 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 the paper …

A Survey Of Using Machine Learning In Iot Security And The Challenges Faced By Researchers, Khawlah M. Harahsheh, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

The Internet of Things (IoT) has become more popular in the last 15 years as it has significantly improved and gained control in multiple fields. We are nowadays surrounded by billions of IoT devices that directly integrate with our lives, some of them are at the center of our homes, and others control sensitive data such as military fields, healthcare, and datacenters, among others. This popularity makes factories and companies compete to produce and develop many types of those devices without caring about how secure they are. On the other hand, IoT is considered a good insecure environment for cyber …

Comparison Of Machine Learning Methods For Classification Of Alexithymia In Individuals With And Without Autism From Eye-Tracking Data, Furkan Iigin, Megan A. Witherow, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Alexithymia describes a psychological state where individuals struggle with feeling and expressing their emotions. Individuals with alexithymia may also have a more difficult time understanding the emotions of others and may express atypical attention to the eyes when recognizing emotions. This is known to affect individuals with Autism Spectrum Disorder (ASD) differently than neurotypical (NT) individuals. Using a public data set of eye-tracking data from seventy individuals with and without autism who have been assessed for alexithymia, we train multiple traditional machine learning models for alexithymia classification including support vector machines, logistic regression, decision trees, random forest, and multilayer perceptron. …

Technology Adoption Of Computer-Aided Instruction In Healthcare: A Structured Review, Queenie Kate Cabanilla, Frevy Teofilo-Orencia, Rentor Cafino, Armando T. Isla Jr., Jehan Grace Maglaya, Xavier-Lewis Palmer, Lucas Potter, Dave E. Marcial, Lemuel Clark Velasco

Electrical & Computer Engineering Faculty Publications

Computer-Aided Instruction (CAI) is one of the interactive teaching methods that electronically presents instructional resources and enhances learner performance. In health settings, using CAI is one of the important ways to improve learners' knowledge and usefulness in their healthcare specialization yet there is still a lack of research that offers a comprehensive synthesis of investigating into the adoption of CAI in healthcare. This research aims to provide a comprehensive review of related literatures on the enablers and barriers for technology adoption of CAI in healthcare. 31 journals were analyzed and revealed that several studies were utilizing the Unified Theory of …

Network Anatomy In Logopenic Variant Of Primary Progressive Aphasia, Maria Luisa Mandelli, Diego L. Lorca-Puls, Sladjana Lukic, Maxime Montembeault, Andrea Gajardo-Vidal, Abigail Licata, Aaron Scheffler, Giovanni Battistella, Stephanie M. Grasso, Rian Bogley, Buddhika M. Ratnasiri, Renaud La Joie, Nidhi S. Mundada, Eduardo Europa, Gil Rabinovici, Bruce L. Miller, Jessica De Leon, Maya L. Henry, Zachary Miller, Maria Luisa Gorno-Tempini

Faculty Research, Scholarly, and Creative Activity

The logopenic variant of primary progressive aphasia (lvPPA) is a neurodegenerative syndrome characterized linguistically by gradual loss of repetition and naming skills resulting from left posterior temporal and inferior parietal atrophy. Here, we sought to identify which specific cortical loci are initially targeted by the disease (epicenters) and investigate whether atrophy spreads through predetermined networks. First, we used cross-sectional structural MRI data from individuals with lvPPA to define putative disease epicenters using a surface-based approach paired with an anatomically fine-grained parcellation of the cortical surface (i.e., HCP-MMP1.0 atlas). Second, we combined cross-sectional functional MRI data from healthy controls and longitudinal …

Felon Disenfranchisement: An Attack On Democracy In The United States, Katie Rodrigues

Student Publications and Presentations

No abstract provided.

Understanding Student Perceptions Of Supplemental Instruction: Student Perceptions Of Supplemental Instruction Implemented In Order To Overcome Perceived Skill Deficits, Andrew Miehe

Dissertations and Theses @ UNI

Supplemental instruction has become so prevalent that it is simply a thing educators do to students without the students’ input or their understanding of its purpose. This prevalence combined with a lack of understanding on the part of the students could create problems around programmatic success and student motivation in addition to the potential of limiting access to coursework. Due to the fact that there is not an abundance of research focused on the student perceptions of supplemental instruction there is consensus that this perspective is often absent despite its critical role (Yazzie-Mintz & McCormick, 2012).

The proliferation of supplemental …

Assessing Spurious Correlations In Big Search Data, Jesse T. Richman, Ryan J. Roberts

Political Science & Geography Faculty Publications

Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phenomena, measures that might serve an important role as leading indicators in forecasts and nowcasts. However, it also presents vast new risks that scientists or the public will identify meaningless and totally spurious ‘relationships’ between variables. This study is the first to quantify that risk in the context of search data. We find that spurious correlations arise at exceptionally high frequencies among probability distributions examined for random variables based upon gamma (1, 1) and Gaussian random …

Advancing Estuarine Shoreline Change Analysis Using Small Uncrewed Autonomous Systems, Thomas R. Allen, Devon Eulie, Mariko Polk, George Mcleod, Robert Stuart, Alexandra Garnand, A. J. Manning (Editor)

Political Science & Geography Faculty Publications

Estuarine shorelines face the threats of accelerating sea-level rise, recurrent storms, and disruptions of natural sediment and ecological adjustments owing to historic human interventions. The growing availability and technical capability of uncrewed systems (UxS), including remote or autonomous aerial and surface vessels, provide new opportunities to study and understand estuarine shoreline changes. This chapter assesses the state of the technology, interdisciplinary science and engineering literature, and presents case studies from the Chesapeake Bay, Virginia, and coastal North Carolina, USA, that demonstrate new insights into coastal geomorphic processes and applications to managing complex and dynamic estuarine shorelines. These technologies enhance the …

Preparing Students For Life After College: A Mixed-Methods Analysis, Nichole Zumbach Harken

Dissertations and Theses @ UNI

Institutions of higher education work to engage students in high-impact practices throughout their educational journey. Although prior research highlights the increase of stress as students near graduation, little research has explored how students manage the transition out of higher education. The purpose of this study was to investigate graduating students’ concerns, the emotional impact of those concerns, the discovery of information related to adulting practices, and the potential impact of a curriculum-infused exit program. The data were collected at a Midwest, comprehensive, liberal arts institution that confers bachelor, master’s, and doctoral degrees. To develop better praxis, the authentic union of …

From Art To Propaganda: The Shift In The Concept Of The “Most Dead” In True Crime Literature, Hannah Mcconkey

Dissertations and Theses @ UNI

This thesis studies the shift of the true crime genre from art to inescapable propaganda. This change is due, in part, to the politization of the genre by modern society. This includes the concept of the “most dead” seen within the true crime genre over the past several decades. The idea of the most dead is the belief that some victims of crimes are more or less dead depending on how marketable their demographic is. For instance, a blonde, Caucasian child would be considered the most dead while a woman of color in the sex work industry would be the …

Intimate Partner Violence Stigma: The Intersection Of Race And Socioeconomic Status, Antoinette Fleming

Dissertations and Theses @ UNI

Approximately 36% of all women in the United States will experience intimate partner violence (IPV) at some point in their lifetime (Smith et al., 2018). Intimate partner violence can cause physical injury, poor mental health, chronic health problems, hospitalization, disability, or death (Breiding et al., 2015). Stigma is another consequence associated with IPV. Many victims of IPV report feeling guilt, denial, shame, and embarrassment as a result of the intimate partner violence victimization (Lichtenstein, 2006). Additionally, African American (Black) victims may be more heavily stigmatized than European American (White) victims. Socioeconomic status (SES) may also affect a person’s perception of …

Do We Want Them To Understand Each Other? Perceptions Of Political Perspective-Takers, Ian Beatty

Dissertations and Theses @ UNI

America has been more divided along partisan lines in recent years (Pew Research Center, 2019). One major factor contributing to this polarization is a lack of understanding regarding why members of political out-groups maintain their beliefs. The simple act of perspective-taking may help to counter the negative effects of this ideological division. Although the benefits of perspective-taking are well documented (Batson, Polycarpou et al., 1997), less is known regarding perceived perspective-taking or perceptions of perspective-takers. In this study, I explore whether the benefits of perspective-taking can be achieved by witnessing a member of the political in-group take the perspective of …

Prospects For 𝛾*𝛾* → 𝜋𝜋 Via Lattice Qcd, Raúl Briceño, Andrew W. Jackura, Arkaitz Rodas, Juan V. Guerrero

Physics Faculty Publications

The 𝛾*𝛾* → 𝜋𝜋 scattering amplitude plays a key role in a wide range of phenomena, including understanding the inner structure of scalar resonances as well as constraining the hadronic contributions to the anomalous magnetic moment of the muon. In this work, we explain how the infinite-volume Minkowski amplitude can be constrained from finite-volume Euclidean correlation functions. The relationship between the finite-volume Euclidean correlation functions and the desired amplitude holds up to energies where 3𝜋 states can go on shell, and is exact up to exponentially small corrections that scale like 𝒪(e^−m𝜋L), where L is the spatial extent …

Surface Properties And Rf Performance Of Vapor Diffused Nb₃Sn On Nb After Sequential Anneals Below 1000 °C, Jayendrika K. Tiskumara, Jean R. Delayen, U. Pudasaini, G. Eremeev

Physics Faculty Publications

Nb₃Sn is a next-generation superconducting material that can be used for future superconducting radiofrequency (SRF) accelerator cavities, promising better performance, cost reduction, and higher operating temperature than Nb. The Sn vapor diffusion method is currently the most preferred and successful technique to coat niobium cavities with Nb₃Sn. Among post-coating treatments to optimize the coating quality, higher temperature annealing without Sn is known to degrade Nb₃Sn because of Sn loss. We have investigated Nb₃Sn/Nb samples briefly annealed at 800-1000 °C, for 10 and 20 minutes to potentially improve the surface to enhance the performance of Nb₃Sn-coated cavities. Following the sample studies, …

Liouvillian Dynamics Of The Open Schwinger Model: String Breaking And Kinetic Dissipation In A Thermal Medium, Kyle Lee, James Mulligan, Felix Ringer, Xiaojun Yao

Physics Faculty Publications

Understanding the dynamics of bound state formation is one of the fundamental questions in confining quantum field theories such as Quantum Chromodynamics (QCD). One hadronization mechanism that has garnered significant attention is the breaking of a string initially connecting a fermion and an antifermion. Deepening our understanding of real-time string-breaking dynamics with simpler, lower dimensional models like the Schwinger model can improve our understanding of the hadronization process in QCD and other confining systems found in condensed matter and statistical systems. In this paper, we consider the string-breaking dynamics within the Schwinger model and investigate its modification inside a thermal …

The New Public Nuisance: Illegitimate And Dysfunctional, Thomas W. Merrill

Faculty Scholarship

Leslie Kendrick’s defense of the new public nuisance fails to come to terms with legitimacy objections to such actions based on the rule of law and norms of democratic accountability. Nor is the new public nuisance a “second best” solution to widespread social problems. These actions rest on joint ventures between prosecutors and personal-injury lawyers that are likely to generate over- and under-deterrence and risk runaway liability.

Optimization Of The Modular Reinforced Bone Scaffold For Customized Alveolar Bone Defects, Meisam Omidi, Luis Eduardo Almeida, Lobat Tayebi

School of Dentistry Faculty Research and Publications

A modular reinforced bone scaffold with enhanced mechanical properties has recently been developed by our group. It includes: 1) A load-bearing module: a skeleton which is made of a slowly degradable material, undertaking mechanical necessities of the scaffold, and 2) A bio-reactive module: a porous and biodegradable component undertaking biological necessities of the scaffold. The load-bearing module is placed into the bio-reactive module to reinforce it. This paper is dedicated to optimizing the load-bearing module for a certain customized alveolar bone defect. More specifically, a 3D-printed skeleton, made of polycaprolactone (PCL), is optimized based on the boundary conditions of the …

Deeply Virtual Compton Scattering Using A Positron Beam In Hall C, V. Berdnikov, A. Camsonne, M. Carmignotto, R. Ent, J. Grames, D. Higinbotham, C. Keppel, M. Mccaughan, P. Paremuzyan, B. Sawatzky, A. Somov, B. Wojtsekhowski, S. Wood, C. Zorn, R. Dupré, M. Ehrhart, M. Guidal, S. Habet, A. Hobart, D. Marchand, C. Muñoz Camacho, S. Niccolai, E. Voutier, M. Mazouz, T. Horn, G. Kalicy, M. Muhoza, I. Pegg, R. Trotta, A. Asaturyan, A. Mkrtchyan, H. Mkrtchyan, V. Tadevosyan, H. Voskanyan, S. Zhamkochyan, M. Amaryan, C. Hyde, M. Kerver, J. Murphy, J. Roche, P. Markowitz, A. Afanasev, W. J. Briscoe, I. Strakovsky, M. Boer, T. Forest, J.R.M. Annand, D. J. Hamilton, B. Mckinnon, D. Day, M. A. I. Fernando, D. Keller, R. Rondon, J. Zhang, K. Brinkmann, S. Diehl, R. Novotny, P. Gueye, V. Bellini, D. Dutta, E. Kinney, P. Nadel-Turonski, G. Niculescu, S. Sirca, I. Albayrak, M. Defurne, Z. Huang, Z. Ye

Physics Faculty Publications

We propose to use the High Momentum Spectrometer of Hall C combined with Neutral Particle Spectrometer (NPS) to perform high precision measurement of the deeply virtual compton scattering (DVCS) cross section using a beam of positrons. The combination of measurements with oppositely charged incident beams is the only unambiguous way to disentange the contribution of the DVCS² term in the photon electroproduction cross section from its interference with the Bethe-Heitler amplitude. This provies a stronger way to constrain the Generalized Parton Distributions of the nucleon. A range of kinematics accessible with an 11 GeV beam off an unpolarized proton target …

Reducing The Variability And Cost Of Determining The Coefficient Of Friction Of Various Lubricants, James M. Wirth

Honors Theses and Capstones

The Navy requires accurate fastener preloading for many of its fastened applications to protect the safety of the vessel and its personnel, and to ensure proper operation of various components. The preload is based on many properties including fastener materials, fastener geometries, and the coefficient of friction (COF) between mating surfaces. The COF is a critical value in determining the torque-load relationship of a fastener, and is dependent on the contact surface area and the materials in contact, the condition and finish of the contact surfaces, and any lubricant applied in these contact areas. Due to the large amount of …

‘Have They Talked About Us At All?’ The Moral Distress Of Healthcare Social Workers During The Covid-19 Pandemic: A Qualitative Investigation In The State Of Texas, Sophia Fantus, Rebecca Cole, Lataya Hawkins, Priyanjali Chakraborty

School of Social Work Faculty Publications

Amid the ongoing pandemic, as overburdened and underfunded health systems are requiring health care social workers (HSWs) to assume responsibilities beyond their scope of practice, institutional constraints have undoubtedly heightened encounters of moral distress (MD). MD is the psychological disequilibrium that arises when institutional factors obligate an individual to carry out a task that violates their professional and/or personal ethics. Our qualitative study investigated HSWs’ (n = 43) MD in Texas during the 2019 COVID-19 pandemic. Findings from our study indicate that MD occurs across five levels: (i) patient care decisions; (ii) personal care decisions; (iii) team/unit decisions; (iv) …

Vaccine Law: Covid-19 Vaccine Mandates For University Students, Dorit R. Reiss

The Judges' Book

No abstract provided.

Eeg-Based Spanish Language Proficiency Classification: An Eeg Power Spectrum And Cross-Spectrum Analysis, Blaise Xavier O'Mara, Skyler Baumer

Honors Theses and Capstones

Second language proficiency may be predicted with electrophysiological techniques. In a machine learning application, this electrophysiological data may be used for language instructors and language students to assess their language learning. This study identifies how electroencephalogram (EEG) power spectrum and cross spectrum data of the brain cortex relates to Spanish second language (L2) proficiency of 20 Spanish language students of varying proficiency levels at the University of New Hampshire. The two metrics for assessing cortical power and processing were event-related desynchronization (ERD)—a measure of relative change in power—of the alpha (8-12 Hz) brain frequency band, and alpha and beta (13-30Hz) …