Digital Commons Network^™

Development Of Optimized Bioactive Nanocomposite Films Using A Central Composite Design For Control Of Microbial Contamination In Stored Rice, Tofa Begum, Peter A. Follett, Muhammed R. Sharaby, Shiv Shankar, Stephane Salmieri, Monique Lacroix

Research Outputs: 2025-Present

Poly(butylene adipate-co-terephthalate) (PBAT) and polylactic acid (PLA)-based nanocomposite films were developed as active packaging materials for stored rice. The composition and synergistic effect of the active formulations (AF-1 and AF-2), cellulose nanocrystals (CNC), and glycerol (Gly) as independent variables were tested to reach the optimal antimicrobial nanocomposite films using response surface methodology (RSM) employing a central composite design (CCD). The inhibitory capacity (IC, %) of the developed films as a dependent variable against two bacterial and three fungal strains was measured using the agar volatilization assay. The ANOVA results showed a perfect fit of the regression models for the response, …

The Perspectives Of Provisionally Registered Psychologists On Voluntary Assisted Dying In Australia: An In-Depth Qualitative Investigation, Ker-Ni Vivienne Heng, Eyal Gringart

Research outputs 2022 to 2026

In Australia, voluntary assisted dying (VAD) is now widely legalised, and VAD uptake is on the rise. Thus, the demand for psychological support in the context of VAD is expected to grow. Despite their relevant expertise, psychologists remain underrepresented in end-of-life (EOL) literature and practice. The current in-depth qualitative study examined the perspectives of 20 provisionally registered psychologists in Australia on VAD, using reflexive thematic analysis grounded in social constructionism. Four main themes (‘Values’, ‘Fit-for-Role’, ‘Exposure’, and ‘Contributions’) and 14 sub-themes were generated from the data. Participants supported availing VAD for terminally ill patients and expressed the potential for its …

A Comparative Study Of Aluminium Properties Manufactured Using Additive Friction Stir Deposition (Afsd) And Wire Arc Additive Manufacturing (Waam), Numan Habib, Ana Vafadar, Ferdinando Guzzomi

Research outputs 2022 to 2026

Wire arc additive manufacturing (WAAM) has recently gained considerable attention due to its capability to manufacture large-size metal with a length of one meter or above, with good microstructural and mechanical properties. However, the manufacture of critical components exposed to extreme environmental conditions, such as high stresses, remains the focus of most research studies. The applications of WAAM in high-tech industries, such as aerospace and marine modes, remain limited due to metallurgical challenges such as oxidation, porosity, cracking, and deformation, especially for high-strength aluminium alloys, including 6XXX and 7XXX series. The aforementioned metallurgical challenges in WAAM are minimized to some …

Optimization Of Inverted Perovskite Solar Cells: Simulation Insights Into Nio And Mixed-Cation Integration For Enhanced Efficiency, Bo Yao, Hairul Mardiah Hamzah, Sharifah Fatmadiana Bt Wan Muhammad Hatta, Faiz Arith, Mohammad Nur-E-Alam, Mohammad Aminul Islam

Research outputs 2022 to 2026

Inverted perovskite solar cells are one of the most promising technologies for the next generation of photovoltaics, due to excellent stability and a relatively simple fabrication process. Nevertheless, attaining high efficiency remains a challenge in integrating appropriate materials for HTL and an absorber layer. This work focuses on SCAPS-1D simulations to optimize the design of inverted PSCs using NiO as the HTL and a mixed-cation perovskite, MA₀.₄FA₀.₆PbI₃, as an absorber. By employing a controlled variable method, the thickness of the absorber layer was optimized within the range of 300 nm to 900 nm. The optimal performance was achieved when the …

Semi-Quantitative Assessment Of Surgical Navigation Accuracy During Endoscopic Sinus Surgery In A Real-World Environment

Faculty, Staff and Student Publications

Introduction: Although surgical navigation is commonly used in rhinologic surgery, data on real world performance are sparse because of difficulties in collecting measurements for target registration error (TRE). Despite publications showing submillimeter TRE, surgeons do report TRE of >3 mm. We describe a novel method for assessing TRE during surgery and report findings with this technique.

Methods: The TruDi navigation system (Acclarent, Irving, CA) was registered using a contour-based protocol. The surgeon estimated target registration error (e-TRE) at up to 8 points (anatomic regions of interest [ROI]) during endoscopic sinus surgery (ESS). System logs were used to simulate the localization …

A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim

Mathematics & Statistics Faculty Publications

The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …

Increased Visual Response Delay Impact On Sensorimotor Control In Persons With Multiple Sclerosis, Julie C. Wagner, Frankie M. Ingram, Vincenzo Daniele Boccia, Matilde Inglese, Maura Casadio, Camilla Pierella, Andrea Canessa, Robert A. Scheidt, Scott A. Beardsley

Biomedical Engineering Faculty Research and Publications

Multiple Sclerosis negatively affects hand function in 60% of cases. Upper extremity dysfunction in persons with Multiple Sclerosis (PwMS) has previously been linked to slower, more variable movement, increased visual response delays (T_v), and neuroimaging evidence of altered brain activity; yet no one knows how these aspects relate to each other. This work combines clinical, kinematic, sensorimotor control, and neural imaging techniques to gain a more complete understanding of how upper extremity dysfunction arises in PwMS. Twenty PwMS and 20 Controls completed a reach and hold task with simultaneous electroencephalography recorded to determine if increased T_v in …

Lung Uptake Of Two Spect Markers Identifies Sensitivity To Hyperoxia-Induced Acute Respiratory Distress Syndrome In Rats, Anne V. Clough, Taheri Pardis, Guru P. Sharma, Ming Zhao, Elizabeth R. Jacobs, Said H. Audi

Biomedical Engineering Faculty Research and Publications

Introduction: Exposure of adult rats to hyperoxia is a well-established model of human Acute Respiratory Distress Syndrome (ARDS). Although rats exposed to 100% O₂ display clinical evidence of lung injury after ∼40 h and death by 72 h, rats exposed to 60% O₂ for up to 7 days show little sign of injury. However, when subsequently exposed to hyperoxia, these pre-exposed rats become more susceptible to ARDS. The objective of this study is to evaluate the ability of imaging biomarkers to track this hyperoxia susceptibility and to elucidate underlying mechanisms.

Methods: Sprague-Dawley rats were exposed to either room …

Virtual Reality-Based Training To Augment Recovery Of Hand Dexterity After Surgery For Degenerative Cervical Myelopathy, Viprav B. Raju, Roxanne Hauer, Mohammad Ghassemi, Anjishnu Banerjee, Derek Kamper, Brian D. Schmit, Aditya Vedantam

Biomedical Engineering Faculty Research and Publications

Degenerative cervical myelopathy (DCM), the leading cause of non-traumatic spinal cord injury, frequently results in impaired hand dexterity. While surgical decompression is the primary treatment, over 40% of patients report residual hand disability after surgery. There are no therapies to restore hand function after surgery for DCM. In this single-arm clinical trial, post-surgical DCM participants (within 12 months after surgery) underwent a 4-week VR training protocol using the Virtual Keyboard system, which promotes practice of finger individuation. Assessments of hand dexterity were performed at baseline (at week 1), post-training (at week 6) and follow-up (at week 10). The primary outcome …

Scoping Review Of Machine Learning Techniques In Marker-Based Clinical Gait Analysis, Kevin N. Dibbern, Maddalena G. Krzak, Alejandro Olivas, Mark V. Albert, Joseph J. Krzak, Karen M. Kruger

Biomedical Engineering Faculty Research and Publications

The recent proliferation of novel machine learning techniques in quantitative marker-based 3D gait analysis (3DGA) has shown promise for improving interpretations of clinical gait analysis. The objective of this study was to characterize the state of the literature on using machine learning in the analysis of marker-based 3D gait analysis to provide clinical insights that may be used to improve clinical analysis and care. Methods: A scoping review of the literature was conducted using the PubMed and Web of Science databases. Search terms from eight relevant articles were identified by the authors and added to by experts in clinical gait …

An Ethically Grounded Llm-Based Approach To Insider Threat Synthesis And Detection, Haywood Gelman, John Hastings, David Kenley

Research & Publications

Insider threats are a growing organizational problem due to the complexity of identifying their technical and behavioral elements. A large research body is dedicated to the study of insider threats from technological, psychological, and educational perspectives. However, research in this domain has been generally dependent on datasets that are static and limited access which restricts the development of adaptive detection models. This study introduces a novel, ethically grounded approach that uses the large language model (LLM) Claude Sonnet 3.7 to dynamically synthesize syslog messages, some of which contain indicators of insider threat scenarios. The messages reflect real-world data distributions by …

The Impact Of Technological Innovations On Consumer Behavior In E-Commerce: A Systematic Review, Yue Wang, Jianzheng Shi, Terence T. Ow, Jia Yun, Yuanyu Yang

Management Faculty Research and Publications

This study systematically reviews the literature on the impact of technological innovations in e-commerce on consumer behavior, using the SPAR-4-SLR methodology and TCCM framework. It consolidates research across various technologies, including websites, social media, live streaming, AR/VR, and AI. The analysis reveals a growing interest in this field post-2017, with a focus on websites and social media, but highlights a research gap in emerging technologies. Key theoretical frameworks are identified, emphasizing the need for integration to comprehensively understand consumer behavior. The review maps out antecedents, mediators, moderators, and outcomes, stressing the importance of longitudinal studies and advanced analytics. This approach …

Investigations Of Conjugate Heat Transfer And Fluid Flow In Partitioned Porous Cavity Using Darcy-Forchheimer Model: Finite Element-Based Computations, Nasir Yasin, Shafee Ahmad, Muhammad Umair, Zahir Shah, Narcisa Vrinceanu, Ghadah Alhawael

Mathematics & Statistics Faculty Publications

The conjugate heat transfer and fluid flow has vast applications in thermal engineering, particularly for cooling in thermal devices, and automobile engines. This study investigates conjugate heat transfer in 2D enclosures, featuring thin solid fins attached to a porous bottom wall. The porous medium is considered isotropic and homogeneous by the Darcy-Forchheimer model, with fluid phases in local thermal equilibrium. The boundary conditions at the porous fluid interface ensure continuity of the velocities, stresses, temperature, and heat flux. The phenomenon is mathematically modelled by obtaining a set of partial differential equations. The finite element method (FEM) is used to perform …

Annual Report Of The Town Of Enfield, New Hampshire Year Ending December 31, 2024, Enfield Town Representatives

Enfield, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Developing A 4d Logistics Educational Module With Cmbuilder, Misael Gonzalez Ramirez

Construction Management

The increasing adoption of Building Information Modeling (BIM) in the construction industry has led to a need for its increasing integration into construction management education. While existing curriculum covers various BIM applications, there is often a gap in in-depth instruction on BIM-based site logistics planning. This paper details the development of an educational module designed to address this gap, focusing on 4D site logistics and phasing using cmBuilder. The module aims not only to provide students with technical software skills but also to equip them with practical skills in visualizing, planning, and communicating complex construction site logistics. Through a series …

A Comparative Analysis Of Stress Relief, Life Satisfaction, And Quality Of Life Based On Marriage Status And Gender Among Members Of Society Participating In Exercise, Ji-Hye Yang, Sicheol Jung, Hyejin Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

Modern members of society tend to feel stressed in their workplace and at home, but exercising has been shown to effectively reduce stress and increase quality of life and satisfaction. This study aimed to investigate and compare stress relief, life satisfaction, and quality of life based on marriage status and gender among members of society who participate in exercise. We used a questionnaire survey with 311 participants, and the data were analyzed using descriptive statistics, validity and reliability, a multivariate analysis of variance (MANOVA), and a post hoc analysis. The study results showed that the single groups demonstrated higher mean …

Examining The Socioemotional Outcomes Of Social Justice Efforts On Social Media Users: Evidence From The Nfl's Inspire Change Initiatives, Yoseph Z. Mamo, Justin Haegele, Christos Anagnostopoulos, Kwame Agyemang

Human Movement Studies & Special Education Faculty Publications

Despite the growing interest in social justice activities, there is a lack of empirical evidence regarding their impact on various stakeholders, particularly social media users. We gathered longitudinal data from the NFL's @inspirechange X (former Twitter) account, a designated social justice communication handle, between August 2019 and March 2023. During this timeframe, the account garnered 20,967 comments (including original tweets and retweets) from 11,481 distinct users, but our analysis focused on 5851 comments deemed usable from 3632 unique users. Drawing on the social exchange theory, sentiment analysis, and thematic analysis, this study examines social media users' sentiments toward the NFL's …

Whipped Into Shape: Infrastructure As Punishment For The Unruly Citizen, Eliza Mortimer

Anthós

This article interrogates how inflexible designs and policies of airline seating, as well as critical socio-political rhetoric, discipline and marginalize bodies that do not conform to normative standards. Situating airline seating within fat and disability studies models, Mortimer argues that these punitive measures are not neutral, but rather reflective of cultural narratives of productivity, morality, and bodily discipline. Mortimer draws from ethnographic analyses of first-person accounts and policy reviews to demonstrate how shrinking seats, rigid policies, and moralized discourse construct a “space of calculability” that pressures fat individuals to monitor and minimize their bodies to justify their presence in public …

A Proposed Ehrenfeucht-Fraïssé Game Model For Natural Language Processing Generative Adversarial Networks, Don Li

Anthós

Large Language Models (LLM’s) (e.g., ChatGPT) constitute both a significant research area and commercial application of AI. Current major LLM’s are built on Generative Pre-Trained Transformer (GPT) neural network architecture to perform natural language processing (NLP) tasks. Generative Adversarial Network (GAN) is another popular neural network architecture, which leverages a zero-sum game between constituent neural networks within the architecture to train the GAN, and is widely used for visual data applications. This article proposes a new GAN architecture for NLP: an EF-GAN whose underlying algorithm uses Ehrenfeucht–Fraïssé (EF) games, a game-theoretic approach from model theory to determine elementary equivalence of …

Seizing The Moment: Post-Covid-19 Enrollment Trends Among Nontraditional Honors Students, Solomon Aleph

Anthós

This article investigates the motivations behind the rising enrollment of nontraditional students at Portland State University’s Honors College, which nearly doubled from 2019 to 2022 following the COVID-19 pandemic. Aleph argues that nontraditional students viewed education as a means of reclaiming agency and reshaping their futures. Through interviews and a focus group with four nontraditional students, Aleph explores how the pandemic created disruption and opportunities. The study finds that while economic instability and isolation were factors, intrinsic motivations—especially a desire for self-improvement, intellectual challenge, and rewriting personal narratives—were more prominent factors shaping enrollment decisions. Drawing from this qualitative analysis, Aleph …

Antihypertensive Potential Of Euphorbia Hirta And Leptadenia Hastata In Adrenaline-Induced Wistar Rats, Fagbohun Oyenike Bushirat, Emmanuel Ogar Ochonung, Messiah Innocent Atapia, Hassan Abdulsalam Adewuyi, Sakariyau Aido Waheed, Adebimpe Oluwatoyin Hameedah, Chizoba Victory Obunadike, Adeleye Adegboyega Edema, Samad Hussein, Abiola Mohammed Usman, Tolulope Olukayode Jaiyeola

Chemistry & Biochemistry Faculty Publications

Background: Hypertension is a major public health concern worldwide, contributing to cardiovascular morbidity and mortality. The use of plant-based therapies, such as Euphorbia hirta and Leptadenia hastata, has gained attention for their potential antioxidant, anti-hyperlipidemic, and organ-protective effects.

Objectives: This study aimed to investigate the phytotherapeutic approach to hypertension using E. hirta and L. hastata extracts in adrenaline-induced hypertensive Wistar rats

Methods: Utilizing an adrenaline-induced hypertensive rat model, we assessed the effects of E. hirta and L. hastata leaf extracts (50, 100, and 200 mg/kg) on systolic blood pressure, renal function, lipid metabolism, and hematological parameters.

Results: Antioxidant activity: …

Application Of Telc Model To Better Elucidate Neural Stimulation By Touch, James Weifu Lee

Chemistry & Biochemistry Faculty Publications

Aim: This study is to better understand how the transient ion transport activity of touch receptors could change the graded potential to stimulate an action potential firing.

Methods: The latest transmembrane-electrostatically localized protons/cations charges (TELC) theory is employed for numerical analysis to calculate the neural touch signal transduction responding time required to fire an action potential spike.

Results: A neural action potential spike was constructed successfully using newly developed time-dependent TELC-based neural transmembrane potential integral equations (Equations 5, 6, and 7). The results explicated that the TELC curve has an inverse relationship with neural transmembrane potential since its curve appears …

Extended Inter-Laboratory Characterization Of The New Coastal Seawater Dissolved Organic Matter Reference Material Trm-0522, Alexander J. Craig, Lydia Babcock-Adams, Maxime C. Bridoux, Charlotte Brun, Juliana D'Andrilli, Aleksandar I. Goranov, Patrick G. Hatcher, Oliver Lechtenfeld, Hang Li, Rebecca Matos, Garrett Mckay, Amy M. Mckenna, Madelyn Miller, Sasha Wagner, Margot E. White, Alexander Zherebker, Jeffrey A. Hawkes

Chemistry & Biochemistry Faculty Publications

Dissolved organic matter (DOM) reference materials are critical to ensuring reliable comparability of measurements across experiments and between labs. TRM-0522, isolated in 2022 from 45 m deep seawater off of Sweden’s west coast, fills the niche of a previously unavailable coastal marine DOM reference material. After its isolation, we detailed a limited number of metrics for TRM-0522, initially disclosing Orbitrap high-resolution mass spectrometry, nuclear magnetic resonance, carbon proportion, absorbance, and fluorescence data. With TRM-0522 becoming more widely used, a variety of labs have generated different metrics that help to characterize and define the chemical properties of this coastal reference material. …

Identification Of Π-Stacking Motifs In Naphthalene Diimides Via Solid-State Nmr, Jennifer E. Mejia, Hannah E. Butler-Au, Nalaya E. Thompson, Karcher D. Goodman, Elizabeth R. Zengel, Robert D. Pike, Jingdong Mao, Craig A. Bayse

Chemistry & Biochemistry Faculty Publications

Organic electronics, featuring π-conjugated small molecules and polymers, have gained significant attention for their potential in flexible, lightweight devices. However, characterization of the ordered, π-stacking domains within these materials using microscopy or X-ray diffraction (XRD) is challenging with complex systems or when crystallography is impractical. This study applied 1D ¹³C multiple cross-polarization magic angle spinning (multiCP/MAS) and 2D ¹H-¹³C heteronuclear correlation (HetCor) solid-state nuclear magnetic resonance (ssNMR) to systematically characterize π-stacking motifs in a series of N,N'-dialkyl naphthalene diimides (NDIs). These techniques were shown to distinguish between the electronic environments attributed to different π-stacking motifs adopted in these NDIs, such …

Differences In Long Covid Severity By Duration Of Illness, Symptom Evolution, And Vaccination: A Longitudinal Cohort Study From The Inspire Group, Michael Gottlieb, Huihui Yu, Ji Chen, Erica S. Spatz, Nicole L. Gentile, Rachel E. Geyer, Michelle Santangelo, Caitlin Malicki, Kristyn Gatling, Sharon Saydah, Kelli N. O'Laughlin, Kari A. Stephens, Joann G. Elmore, Lauren E. Wisk, Michelle L'Hommedieu, Robert M. Rodriguez, Juan Carlos C. Montoy, Ralph C. Wang, Kristin L. Rising, Efrat Kean, Jonathan W. Dyal, Mandy J. Hill, Arjun K. Venkatesh, Robert A. Weinstein

Department of Emergency Medicine Faculty Papers

Background: Although short-term outcomes of Long COVID have been described, longer-term physical and mental health outcomes of Long COVID are less well-established. This study sought to assess differences in long-term physical and mental health outcomes extending up to three years among those with current, resolved, and no Long COVID, as well as duration of Long COVID and vaccination status. Methods: This was a prospective, multisite, study of participants with SARS-CoV-2 infection from 12/7/2020-8/29/2022, with data collected through 4/2/2024. Surveys included validated tools for physical and mental health. Data were analyzed by Long COVID status (never-had, resolved, current), Long COVID duration …

The Great Scrape: The Clash Between Scraping And Privacy, Daniel J. Solove, Woodrow Hartzog

Faculty Scholarship

Artificial intelligence (AI) systems depend on massive quantities of data, often gathered by “scraping”—the automated extraction of large amounts of data from the internet. A great deal of scraped data contains people’s personal information. This personal data provides the grist for AI tools such as facial recognition, deep fakes, and generative AI. Although scraping enables web searching, archiving of records, and meaningful scientific research, scraping for AI can also be objectionable and even harmful to individuals and society.

Organizations are scraping at an escalating pace and scale, even though many privacy laws are seemingly incongruous with the practice. In this …

Bayesian Alloy Design With Additive Synthesis, Michael R. Sulwer

Dissertations, Master's Theses and Master's Reports

To reduce carbon emissions and increase power out, steam powerplants need to increase the operating temperatures and pressures of steam turbines to improve efficiency. This necessitates the development of high temperature alloys with superior strength and stability. This research aims to design a class of solid solution High Entropy Alloys (HEAs) to exceed the high temperature performance of commercial alloys like Haynes 230 while maintaining comparable costs for Advanced Ultra Supercritical (A-USC) steam cycles. This project integrates Bayesian optimization and Calculation of Phase Diagrams (CALPHAD) within an Integrated Computational Materials Engineering (ICME) framework to predict and optimize key material properties: …

Stability And Resonance Of Cylindrical Wave Energy Converters, Gregory M. Ballen

Dissertations, Master's Theses and Master's Reports

With increased focus on wave energy converters that produce power in multiple degrees of motion, more tools are necessary to understand the behavior of these devices and cause them to reach critical resonance points. This thesis uses Floquet theory and a numerical solver to understand how a WEC of given parameters operating in surge, heave and pitch may approach points of instability using feedback control schemes. It finds that a WEC reaches these resonance points when the surge and pitch motions are driven to resonate at either the same frequency as the heave motion, or at half this frequency. This …

Energy Transitions In Underserved Communities: Meaningful Engagement To Address Energy Burdens And Air Pollution, Nyasha Milanzi

Dissertations, Master's Theses and Master's Reports

This report presents two connected studies focused on environmental justice and community engagement in energy transitions. The first study examines engagement practices in EPA-funded projects using interviews and public abstracts. Applying the EngageINFEWS framework, it analyses stakeholder dynamics and offers recommendations for working with underserved communities. Key insights include addressing power imbalances, securing funding, building capacity, and fostering communication. The second study centres on the REJuST project, which supports energy justice in a rural northern community impacted by public health concerns linked to a bioenergy facility burning wood, paper, plastics, and tire-derived fuels. I use survey data to explore resident …

Molecular Modeling Methods And Applications For Accelerating Polymerization And Pyrolysis Studies, Joshua D. Kemppainen

Dissertations, Master's Theses and Master's Reports

Polymer matrix composites and carbon-carbon composites play critical roles in the aerospace, automotive, and construction industries. Different matrix materials and processing conditions can lead to a large variety of composite materials and composite properties. Integrated computational materials engineering has been used to tailor PMC matrix materials and processing conditions to specific properties and manufacturing techniques. The integrated computational materials engineering process modeling framework uses molecular dynamics at the nanometer length scale to characterize the evolving thermo-mechanical properties of the polymer as it cures. Then finite element analysis is used at the micrometer length scale to adjust cure cycles to tailor …