Digital Commons Network^™

Exploring The Paradoxical Association Between Chest Ct Pulmonary Involvement And Olfactory Dysfunction In Covid-19 Patients: A Prospective Cross-Sectional Study, Abdolkarim Ghadimi-Moghadam, Saed Askari, Mohammad Amin Ghatee, Alireza Mortazavi, Saeed Javdansirat, Ali Ghadimi Moghadam, Hassan Vafapour, Zaker Salehi, Seyed Mohammad Javad Mortazavi, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

Background and Aims: Olfactory dysfunction (OD) is common in COVID-19, yet its relationship with pulmonary involvement remains inconsistent. We evaluated the association between CT-based lung involvement and OD in laboratory-confirmed COVID-19.

Methods: In a prospective cross-sectional study (Yasuj University of Medical Sciences hospitals; December 26, 2021–May 22, 2022), OD was assessed using the CCCRC protocol and pulmonary involvement was categorized using a CT lung involvement score. Associations were examined using chi-square testing (categorical) and ANOVA where appropriate (α = 0.05).

Results: Among 120 patients (60 male/60 female; mean age 43.17 ± 14.76 years), 71 (59.2%) had hyposmia, and none had …

A Cooking Skills Intervention For Long-Term Weight Loss In Young Adults With Intellectual Disabilities: Rationale And Design For A Randomized Trial., Lauren T. Ptomey, Jessica C. Danon, Delwyn Catley, Richard A. Washburn, Amy Bodde, Francisco J. Diaz, Brian C. Helsel, Anna M. Rice, Joseph R. Sherman, Madison Koester, Walker S. Mckinney Ph.D., Joseph E. Donnelly

Manuscripts, Articles, Book Chapters and Other Papers

Young adults with intellectual disability (ID) are an underserved population with a high prevalence of obesity, obesity-related health conditions, and reduced ability to complete instrumental and basic activities of daily living (I/ADLs). After leaving the structured environment of public school, many young adults with ID spend more time at home or in day programs, begin living more independently, or enter the workforce. These transitions may increase reliance on fast or processed foods and reduce opportunities for physical activity, contributing to accelerated weight gain. Previous research has demonstrated clinically meaningful short- and long-term weight loss (18-24 months) in adults with mild-to-moderate …

Performance Of The Denitrification-Decomposition Model In Simulating Agronomic Properties And N2o Emissions Under Smallholder Climate-Smart Farming Systems, Esphorn Kibet, Collins M. Musafiri, Milka Kiboi, Onesmus K. Ng'etich, David K. Kosgei, Abdirahman Zeila, Franklin Mairura, Felix K. Ngetich

All Peer-Reviewed Publications

The DeNitrification-DeComposition (DNDC) model is a crucial tool for estimating soil greenhouse gas fluxes and understanding soil-plant interactions. This study evaluates the performance of the DNDC model in simulating soil temperature, moisture, crop yield, and nitrous oxide (N2O) fluxes across different land utilization types in Western Kenya. The land utilization types included: i) agroforestry M (agroforestry with Markhamia lutea, ii) sole sorghum, iii) agroforestry L (agroforestry with Leucaena leucocephala), iv) sole maize, and v) grazing Land, each replicated thrice. Fertilizer and manure were applied as part of the management practices, with manure applied at 2t ha⁻¹. Soil greenhouse …

When Does Emigration Reduce Domestic Economic Activities? Evidence On The Loss Of Management Capacity From A Visa Lottery, Marup Hossain, Ahmed Mushfiq Mobarak

Cowles Foundation Discussion Papers

Economic development is often conceived as structural transformation and migration out of rural agriculture (Lewis, 1954; Fei & Ranis, 1964). Understanding development therefore requires us to identify how rural economies transform in response to emigration. We study how international migration reshapes domestic economic activity in origin households using a randomized visa lottery that gave Bangladeshi men job opportunities in Malaysia. Winning the lottery raises total household income through remittances, but income earned in Bangladesh declines due to contractions in nonfarm business activity. In contrast, crop income remains stable despite large reductions in agricultural input expenditures, because farming gets delegated through …

A Review Of The Safety Alert Systems In Commercial Vehicles: Implementation Challenges And Trends For Electronic Logic Devices And In-Cab Alerts, Md Sadman Islam, Deep Patel, Ahmed Sajid Hasan, Mohammad Jalayer, Abdul S. Ngereza, Emmanuel Kidando

Civil and Environmental Engineering Faculty Publications

The trucking industry is crucial to the US economy, accounting for 73.1% of the value, 71.1% of the cargo, and 42.0% of the ton-miles of all commodities transported nationwide. Despite its pivotal role, the industry is affected by high crash rates, with truck crashes resulting in 5,472 fatalities in 2023 alone. These incidents not only exhibit a higher fatality rate per vehicle mile compared with passenger cars but also cause substantial economic disruptions. Predominantly, these crashes are attributed to the failure to stop or slow down because of insufficient sight distances. In recent years, trucking companies have implemented various technologies, …

Spring Ai 2026 Workshop And Speaker Series Report, Gregory Blike, Hannah (Nyingi) Brown, Dora (Dawn) Nguyen, Rami Huu Nguyen, Ajanee Igharo, Frayni Calderon, Moumita Saha, Chengjie Zheng

Paul English Applied Artificial Intelligence (AI) Institute Publications

The AI Workshop and Speaker Series was organized by the Student Advisory Council of the Paul English Applied Artificial Intelligence Institute at the University of Massachusetts Boston with the guidance of Distinguished Professor of Computer Science Wei Ding to create a practical and student-centered AI learning space. The Spring 2026 series included workshops on LinkedIn Optimization, Data Mining, GitHub, Prompt Engineering, Machine Learning of Structured Data, and Applied LLMs with Responsible AI Use in Research, while the broader speaker series introduced students to AI career development, generative AI and LLMs for cybersecurity, transportation security, political sciences, and AI in biomedicine. …

Responsible & Ethical Ai Use: From Principles To Practice, Ila Lama

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation explores responsible and ethical artificial intelligence through a practical framework centered on five core principles: fairness, transparency, accountability, privacy, and safety. It examines how ethical challenges surrounding AI are emerging across educational, organizational, creative, and societal contexts, including concerns related to bias, privacy, academic integrity, AI-generated content, and responsible decision-making. The presentation also introduces the Trust Cycle as a practical approach for moving from awareness and reflection to safe experimentation, feedback, and transformation, encouraging participants to critically evaluate AI use while maintaining human judgment, accountability, and trust.

Two Essays On Designing Conversational Agents: Varying Level Of Mimicry And Personality–Brand Congruence, Sama Ashouri

Theses and Dissertations in Business Administration

Across two essays, this dissertation demonstrates that mimicry and personality shape consumers’ perceptions of chatbot intelligence, creativity, and fit, with downstream effects on recommendation acceptance that depend on factors such as mimicry intensity, brand familiarity.

Essay1: Mimicry, a central aspect of human interaction, is increasingly being examined in human–AI communication, particularly with chatbots. While prior research shows mimicry can build rapport, trust, and engagement, it has often been treated as a binary factor, overlooking how different levels may influence user perceptions. This research proposes and tests a dual-mediation framework in which different levels of chatbot mimicry affects recommendation acceptance through …

Structure Meets Context: A Simulation Study Of Centralized And Decentralized Decision-Making In Complex Environments, Murat Balci

Engineering Management & Systems Engineering Theses & Dissertations

The question of when to centralize or decentralize decision-making authority is a foundational problem in organizational theory and management science. Yet existing research often favors decentralized structures, frequently treating them as universally superior, and provides limited guidance on when centralization may be more effective. Leaning toward decentralization without thoroughly exploring options leaves organizational designers without clear direction under varying environmental conditions. This study addresses that gap by developing and applying a simulation-based framework to evaluate the context-dependent effectiveness of centralized and decentralized decision-making structures.

Drawing on contingency theory and decision science, the study conceptualizes environmental complexity along two dimensions: dynamism …

Multi-Particle Reactions In Lattice Field Theories: From Euclidean To Quantum Computations, Marco Antonio Carrillo Bernal

Physics Theses & Dissertations

Amplitudes of multi-particle processes provide a probe of the dynamics described by relativistic quantum field theories. In the context of quantum chromodynamics, these amplitudes encode the way in which quarks and gluons are bound together by the strong nuclear force to form hadrons and govern their interactions. The non-perturbative nature of the strong interactions complicates the study of hadronic amplitudes from first principles. The most effective way of studying hadronic reactions non-perturbatively is the numerical framework known as lattice quantum chromodynamics. This method relies on theoretical formalisms that establish relations between numerical observables, such as finite-volume energy levels and matrix …

The Relationship Between Depression And Cognitive Proficiency Index Across Biological Sex, Angela N. Ferdinardo

Dissertations

Depression is a widely studied mood disorder, and understanding its effect on cognitive functioning has become an important area of research. While research has examined relationships among depression, working memory, and cognitive deficits, limited research has explored depressive symptoms and cognitive proficiency across biological sex. Depression manifests similarly in men and women, though men are more likely to experience irritability, impulsivity, and anger, while women tend to experience sadness, stress, and sleep disturbances (Johns Hopkins Medicine, 2023). Women are also more likely to seek treatment and cope differently than men. This study examined the relationship between depression and cognitive proficiency …

The Legacy Of Trauma: Exploring The Effect Of Generational Stress On Gut Health And Mental Well-Being In Black Women, Jocelynn Jones

Dissertations

This dissertation examines how generational trauma and chronic stress may relate to gut health and mood outcomes among Black women. Using a literature review design, this work brings together research on intergenerational trauma, gendered racism, Superwoman Schema, weathering, allostatic load, mood disorders, reproductive health disparities, and the microbiota-gut-brain axis. The central argument is that depression, anxiety, gastrointestinal symptoms, fatigue, reproductive vulnerability, and healthcare mistrust should not be understood as fully separate concerns when they may be shaped by shared stress conditions. The proposed integrated model does not claim that trauma directly causes gut dysbiosis or mood disorders. Instead, it suggests …

Physiological, Cognitive, Behavioral, And Perceptual Contributors To Falls Risk Across Middle And Older Adulthood, Jacquelyn Moxey

Rehabilitation Sciences Theses & Dissertations

Falls are multifactorial events influenced by physiological, cognitive, behavioral, and perceptual factors. Although falls prevention research has traditionally focused on older adults and objectively measured physical impairments, less is known about how cognitive performance, physical activity, and perceptions of ability collectively contribute to falls risk vulnerability across middle and older adulthood. This dissertation examined these relationships through three complementary studies.

Study 1 examined associations between cognitive screening performance and physiological falls risk in 315 community-dwelling older adults. Lower global cognitive performance was associated with greater physiological falls risk. Performance on items reflecting attention and visuospatial/executive function demonstrated the strongest domain-level …

Faculty Conceptualizations Of Recreational Therapy And Disability: Influences On The Formal, Hidden, And Null Curricula In Undergraduate Recreational Therapy Education, Shelly Lynne Beaver

Human Movement Studies & Special Education Theses & Dissertations

Undergraduate education is a bedrock of professional preparation for entry-level recreational therapists, shaping their scope of practice, philosophical orientations, and approaches to service delivery. While significant attention has been given to the development of a formal recreational therapy curriculum – explicitly taught knowledge, skills, and competencies – little is known about the hidden and null curricula that may implicitly or unintentionally shape students’ professional identities, values, and beliefs. While these less explicit curricular dimensions may have profound effects on how preservice recreational therapists conceptualize both recreational therapy and disability, their impact remains largely unknown. Therefore, the aim of this research …

Understanding The Correlation Between Prediction Performance And Trust In Ai Through Scenario-Based Tasks, Likhitha Kammara

Theses and Dissertations

Trust in artificial intelligence is commonly assessed through self-reported scales or behavioral reliance, yet behavioral reliance is retrospective and can only be observed after a decision has already been made. This thesis examines whether prediction accuracy — a user's ability to predict what an AI system will recommend before its output is revealed — can serve as a prospective correlate of trust in the same empirical sense as behavioral reliance. The study was conducted in two phases using scenario-based AI decision tasks across disaster response, healthcare, and infrastructure restoration contexts, employing a between-group design in which participants either predicted AI …

Functionalized Loblolly Pine Derived Ultraporous Activated Hydrochars For Efficient Carbon Capture, Swarna Saha

Theses and Dissertations

The increasing concentration of anthropogenic carbon dioxide (CO₂) emissions has intensified the demand for efficient and sustainable carbon capture technologies. This dissertation investigates the development of functionalized ultraporous activated hydrochars derived from loblolly pine through hydrothermal carbonization (HTC) followed by chemical activation for enhanced CO₂ capture applications. Different functionalization strategies, including deep eutectic solvent (DES) modification, zeolite-assisted HTC, palladium-assisted HTC, and CO₂-assisted HTC, were systematically explored to evaluate the influence of pore structure, surface chemistry, and adsorption energetics on CO₂ capture performance. The synthesized materials were characterized using BET, FTIR, XRD, TGA, SEM, and adsorption isotherm modeling to establish the …

"Building Something Great!": Fifth-Grade Teachers Nurturing Hope Through Professional Learning Communities – A Telling Case, Matthew H. Huffaker

All Graduate Theses and Dissertations, Fall 2023 to Present

Teachers and educational leaders face numerous obstacles that can seem insurmountable but overcome through collaboration. “High-hope thinking provides a special advantage when we face obstacles in our goal attainment” (Snyder, 1994). Effective PLCs provide the fertile ground for teacher collaboration, influencing schoolwide communities and student learning (DuFour et al., 2016; Hord, 2004; van Es, 2012). Collaboratively identifying challenges and coming up with solutions with the support of others (what effective PLCs do) is an ideal setting for observing hope.

This study explored how hope is fostered among teachers during their weekly professional learning community meetings. Further, this study examined how …

High Biochar Rate Improves Water Retention In Some Environmentally Sensitive Soils, Samundra Sigdel

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Improving water retention and other hydraulic properties is key to managing soil water and sustaining crop production under fluctuating and extreme weather events. We assessed how wood biochar (836 g C kg^-1) applied at 0, 6.25, 12.5, 25, and 50 Mg ha^-1 affected: i) soil hydraulic properties after 5 years and ii) corn and soybean yield, and biomass production of cereal rye cover crop (CC) and CC mix (cereal rye, radish, and winter pea) in sandy, sloping, and semi-arid soils in the central U.S. Great Plains over 6 years. Biochar affected field saturated hydraulic conductivity (K_{sat …}

The Church And Nature’S Cathedral: Catholics, Protestants, And The Yosemite Chapel, Adam Hogan

Eastern Sierra History Journal

John Muir saw nature and national parks as religious symbols themselves. Since Muir’s day, generations of Americans have worshipped in the outdoor sanctuaries. However, while much scholarly attention has focused on national parks as symbols or religious icons, scholars have paid far less attention to the actual church services that have taken place in America’s national parks. Yet, a church in a national park presents many complications, and Adam Hogan explores these dilemmas through a history of the controversies surrounding who could pray in the Yosemite Chapel.

Field Calibration Of Flow Over Tilting Weirs In Canals, Joseph E. Pugh, Timothy K. Gates, S. Karan Venayagamoorthy, Caner Kutlu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Tilting weirs are widely used to regulate water levels in open channel irrigation systems and can also provide flow measurement capability that helps optimize irrigation efficiency and ensure equitable water distribution. This case study demonstrates adaptation of lab-based tilting weir ratings to field settings, where flow behavior is more complex. We compile and analyze an extensive data set derived from independent studies of five structures within three canal systems, featuring both lined and unlined channels with discharge ranging from 0.35 to 15 m3/s (12 to 530 ft3/s). Results indicate that lab-based rating equations can be calibrated to account for site-specific …

Adrenal Crises And Quality Of Life After Bilateral Adrenalectomy Vs Primary Autoimmune Adrenal Insufficiency, Alexandra N Bancos, Raul Gregg-Garcia, Natalia Genere, Sanan Mahrokhian, Sara J Achenbach, Elizabeth J Atkinson, Anand Vaidya, Irina Bancos

Faculty, Staff and Students Publications

Context: Bilateral adrenalectomy (BLA) and autoimmune adrenal insufficiency (AAI) are 2 major causes of primary adrenal insufficiency (PAI). Comparative data between etiologies are limited.

Objective: To compare management, quality of life (QoL), and frequency of adrenal crises between participants post-BLA vs AAI.

Methods: We conducted a dual-center, cross-sectional study of adults with AAI or BLA between 2018 and 2025. All participants completed questionnaires on management, adrenal crises, and the Addison Disease-specific QoL Questionnaire (AddiQoL).

Results: Of 343 participants, 203 had AAI (median age 54 years, 72% women) and 139 had BLA (median age 57 years, 76% women). AddiQoL scores were …

A Transfer-Learning And Continuous Optimization-Based Framework For Predicting Heat Treatment-Dependent Mechanical Properties Of Ded-Processed Low-Alloy Steels, Atiqur Rahman, Sung Heng Wu, Ranjit Joy, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Directed energy deposition (DED) of low-alloy steels involves strongly coupled effects among alloy composition, solidification behavior, and post-deposition heat treatment, making mechanical property prediction difficult when target-domain data are limited. This study develops a transfer-learning and continuous optimization framework for predicting heat treatment-dependent yield strength (YS), ultimate tensile strength (UTS), hardness (HV), and as-solidified phase fractions of martensite, ferrite, and austenite in DED-processed low-alloy steels. A CALPHAD-based dataset was generated for 125 low-alloy steel compositions. A multilayer perceptron (MLP) surrogate was first trained as a baseline model, then fine-tuned through transfer learning and progressively updated as staged continuous optimization; the …

Proteomic Signatures Of 3-Year Progression From Impaired Fasting Glucose To Diabetes: The Atherosclerosis Risk In Communities (Aric) Study, Mary R Rooney, Justin B Echouffo Tcheugui, Jingsha Chen, Keenan A Walker, Christie M Ballantyne, Eric Boerwinkle, Tanika N Kelly, Chiadi E Ndumele, James S Pankow, Morgan E Grams, Wendy S Post, Peter J Ganz, Alexis C Wood, Jerome I Rotter, Elizabeth Selvin, Josef Coresh

Faculty, Staff and Students Publications

Objective: To identify proteomic signatures underlying 3-year progression from impaired fasting glucose (IFG) to diabetes.

Research design and methods: We examined IFG progression in the Atherosclerosis Risk in Communities (ARIC) study from visit 2 (1990-1992) to visit 3 (1993-1995). We tested associations of 4,955 plasma proteins (SomaScan version 4.0) with ∼3-year progression from IFG (FG 100-125 mg/dL without diabetes) to diabetes (diagnosis, medication, or FG ≥126 mg/dL) using logistic regression models adjusted for demographics, cardiometabolic risk factors, and baseline glucose with Bonferroni correction (P < 10-5). We explored biological pathways enriched among the top proteins and calculated improvements in prediction (ΔAUC and net reclassification using 3-year risk thresholds of 6% and 15% in 80% training and 20% internal validation subsamples). We validated results in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort.

Results: There were 3,786 ARIC participants with IFG (mean [SD] age 57 [6] years, 52% female, …

What Fire Reveals: A Portfolio Of Integrated Practice, Harm Reduction, And Liberation-Centered Social Work, Jackie Brittain

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.

De-Centering And Re-Centering Digital Scholarship, Ten Years On, Matthew Hunter, Aaron Retteen, Micah Vandegrift

Faculty Scholarship

Ten years after the publication of a manifesto attempting to describe what digital scholarship could do for and within libraries, some of the original authors reflect on the progress of the call-to-action. This article describes areas in which the integration of digital scholarship activities as core parts of librarianship has and has not become commonplace and traces larger-scale developments in the academy and global knowledge landscape that have contributed to the accuracy of the predictions made in 2017.

Combining Citizen Science And Machine Learning: The Blueprint For An Emission Line Detection Algorithm, Alex Kiely

Theses

Extragalactic spectroscopy provides us with information about the properties of galaxies and the fundamental nature of the universe. By analyzing galaxy spectra, we gain insight into a galaxy’s evolution through measures of its star formation rate (SFR), metallicity (Z), ionization parameter (U), gas pressure, dust extinction, electron density, and redshift (z). Redshift, in particular, can provide us with information about a galaxy’s velocity and distance, the formation of baryonic matter, dark matter halos, and the variation of galaxy properties with redshift. The analysis of these spectra is often an incredibly demanding, time-intensive, and potentially inaccurate process, further complicated by the …

Building A Multiwavelength Catalog Of Active Galactic Nuclei For The Cosmos Field, Thresa Kelly

Theses

Active galactic nuclei (AGNs) are capable of producing highly luminous emission across the entirety of the electromagnetic spectrum. Each waveband has characteristic features that can be used to separate AGNs from typical, inactive galaxies. However, each AGN has a unique combination of physical characteristics--such as the black hole mass, accretion rate, obscuring column density, orientation angle, and/or presence of relativistic jets--that create a unique spectral shape. Thus, a single AGN identification technique using a single wavelength will fail to find all types of AGNs. The resulting sample will bias the results of larger statistical studies. Therefore, it is critical to …

Deep Analog: Open-Set Film Emulation With Reference-Conditioned 3d Luts, Yitong Mu

Theses

Film emulation reproduces the look of an analog film stock on a new digital photograph. We target its open-set form—matching the look of any reference film frame from a single example—with a 3D lookup table (LUT) predicted from that reference. Real-time image enhancement has converged on one recipe for the color step: predict per-image weights over a fixed bank of 3D LUTs and blend them. We show this construction is a gated mixture of experts—specialist tables chosen per image by a learned gate—and it inherits the corresponding failure: trained end-to-end against reconstruction, the gate collapses onto a single expert, so …

Cross-Layer Security And Responsive Evaluation Architectures For Quantum Resistance In Connected Vehicles, Geoff Twardokus

Theses

Connected vehicle (CV) technologies are emerging as a crucial technology for improving safety on future roadways. Wireless vehicle-to-everything (V2X) communication allows CVs to exchange information that provides enhanced awareness and supports better driving decisions, especially in high-risk or non-line-of-sight scenarios. However, V2X also exposes new surfaces to physical layer attacks and increasingly sophisticated, potentially quantum-capable threat actors. As human or autonomous CV drivers will make split-second safety-critical decisions based on the contents of V2X messages, ensuring their authenticity, as well as their reliable and timely delivery, is crucial. Otherwise, malicious attackers may interfere with safety services or spoof messages to …

Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante

Theses

Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …