Digital Commons Network^™

Analyzing Stability Of Estimates At Completion For Long Duration Development Efforts, Bradley Vuu, Jonathan D. Ritschel, Brandon M. Lucas, Edward D. White

Faculty Publications

Defense program managers utilize Earned Value Management (EVM) methodologies to measure, report, and predict the cost and schedule performance of their programs. Previous research conducted by Christensen (1996) and Kim et al. (2019) has shown varied results in the stability of EVM Estimates at Completion (EACs). Stability is defined as a 10% or less deviation from the final EAC at a specified percent completion point of the program. The Christensen (1996) and Kim et al. (2019) studies also noted that program-specific factors, such as phase, can impact the accuracy of EVM metrics. This study builds upon those works by assessing …

Illustrations Of Benevolent And Hostile Heterosexism In Lgbtq+ People’S Lives, Jes L. Matsick, Lindsay Palmer, Flora Oswald, Mary Kruk, Kenneth Ye

Faculty Publications

In this study, we aimed to define heterosexism—a form of sexual stigma that accounts for interpersonal attitudes and institutionalized ideology—in a multi-dimensional way, centering on LGBTQ+ people’s experiences. We draw from an ambivalent theory of prejudice and focus on heterosexism, or an ideology that stigmatizes nonheterosexual behaviors, identities, relationships, and communities. We aimed to learn how LGBTQ+ people would narrate their experiences of heterosexism within a benevolent and hostile framing. In a qualitative online study, LGBTQ+ participants (N = 77; 49% White) reviewed definitions of and recalled encounters with benevolent and hostile heterosexism, providing examples of how heterosexism manifests …

The Impact Of Solar Angle And Cloud Shadows On 3d Reconstruction Of Rolling Stock Cargo, Carlina M. Ostrand, Adam D. Reiman, Frank W. Ciarallo, Scott L. Nykl, Clark N. Taylor, Joshua F. Krutz

Faculty Publications

Meeting the relentless demand for more efficient air cargo transportation is of paramount importance for commercial needs and military missions. This study describes an experiment to test an innovative approach that harnesses cutting-edge stereoscopic vision technology to create 3D point clouds of rolling stock cargo across varying solar angles and cloud shadow conditions. Virtual cargo point clouds are generated by calibrating and systematically organizing the depth and location points from an RGB-D camera and then reprojecting them in a virtual environment. Measurement accuracy was rigorously tested across six camera positions in various combinations of weather conditions against physical ground truth …

Adapting To Ai: The Evolving Role Of Faculty In Higher Education, Ronald R. Danault

Faculty Publications

Artificial intelligence (AI) is changing the face of higher education, and there are important issues regarding the future of the faculty (Stoerger, 2024). Although there are concerns about the impact of AI on the conventional faculty roles in teaching, assessment, and administration, these tools are now being adopted in learning processes. Rather than dismissing AI as a threat, it acts as a catalyst for reshaping the way faculty members teach with the help of AI and, hence, become facilitators of the learning process (Haoyang & Towne, 2025).

This paper aims to discuss the integration of AI in the higher education …

New Method Of Impact Localization On Plate-Like Structures Using Deep Learning And Wavelet Transform, Asaad Migot, Ahmed Saaudi, Victor Giurgiutiu

Faculty Publications

This paper presents a new methodology for localizing impact events on plate-like structures using a proposed two-dimensional convolutional neural network (CNN) and received impact signals. A network of four piezoelectric wafer active sensors (PWAS) was installed on the tested plate to acquire impact signals. These signals consisted of reflection waves that provided valuable information about impact events. In this methodology, each of the received signals was divided into several equal segments. Then, a wavelet transform (WT)-based time-frequency analysis was used for processing each segment signal. The generated WT diagrams of these segments’ signals were cropped and resized using MATLAB code …

Special Delivery Of Proteinaceous Matter To Deep-Sea Microbes, Yuan Shen, Ronald Benner, Taylor A.B. Broek, Brett D. Walker, Matthew D. Mccarthy

Faculty Publications

Earth’s deep ocean holds a vast reservoir of dissolved organic carbon, traditionally considered old and resistant to microbial degradation. Radiocarbon analyses indicate the hidden occurrence of younger dissolved organic carbon components, assumed to be accessible to deep-sea microorganisms but not yet demonstrated. Using compound-class radiocarbon analysis, molecular characterization, and bioassay experiments, we provide direct evidence for rapid microbial utilization of young, labile, high–molecular weight proteinaceous material in bathypelagic waters. The abundance of labile proteinaceous material diminishes from epipelagic to mesopelagic waters but notably increases in bathypelagic waters, where it exhibits a short turnover time (days) and resembles surface plankton in …

Are Populist Leaders Playing The Public? Examining The Effect Of Populism On Common And Luxury Good Imports, Brian Warby, Nicholas Bailey

Faculty Publications

Populist movements have grown significantly around the world in recent years. Populist ideologies typically view social and political elites as the enemy of the people; however, populist leaders are themselves part of the elite class, and are politically and financially dependent on other elites to some degree. We use principal-agent theory to examine whether populist leaders act as constrained agents by faithfully representing the people’s interests, or whether they actually pursue elite interests. We use panel data on more than 170 countries from 1993 to 2019 to look at total imports and imports of luxury goods under populist regimes to …

Beyond Blinders And Boomerangs: Assessing State Business Taxation, David Gamage

Faculty Publications

Karl A. Frieden’s article, “Wearing Blinders in the Debate Over Business’s ‘Fair Share’ of State Taxes” and his subsequent article, “The Boomerang Effect of the Business ‘Fair Share’ Tax Debate,” jointly contend that progressive calls to strengthen state corporate income taxes (CITs) are misguided because businesses allegedly overpay certain other state and local taxes. This essay argues that, while Frieden does raise some valid points about the efficiency of specific tax design choices, his core argument fundamentally misconstrues the central issues: the ultimate incidence of business taxes, the pursuit of equity and efficiency, and the importance of combating harmful tax …

Synthesis Of A Series Of Rare-Earth-Based Multi-Anion Chalcogenide Iodides Re3Si2SeXS8-XI (Re = La, Ce, Pr, And Nd) Using The Flux-Assisted Boron-Chalcogen Mixture Method, Gopabandhu Panigrahi, Habiba Binte Kashem, Gregory Morrison, Hans Conrad Zur Loye

Faculty Publications

Single crystals and polycrystalline powders of rare earth mixed chalcogenide iodides La3Si2Se1.21S6.79I, Ce3Si2Se1.39S6.61I, Pr3Si2Se1.22S6.78I, and Nd3Si2Se1.18S6.82I were prepared using the reactive flux-assisted boron-chalcogen mixture (BCM) method at 850 °C. All compounds crystallized in the monoclinic crystal system, space group C2/c (space group number 15). The series adopts the La3Si2O8Cl structure type, containing isolated SiQ4 tetrahedra connected by REQ8 (RE = La, Ce, Pr and Nd) polyhedra; this arrangement creates tunnels that are filled by I atoms. The partial substitution of S by Se was carried out to modulate the optical properties. Phase pure samples and uniform solid solutions were obtained …

Ec2vec: A Machine Learning Method To Embed Enzyme Commission (Ec) Numbers Into Vector Representations, Mengmeng Liu, Xialong Ni, J. Ramanujam, Michal Brylinski

Faculty Publications

Enzyme commission (EC) numbers play a vital role in classifying enzymes and understanding their functions in enzyme-related research. Although accurate and informative encoding of EC numbers is essential for enhancing the effectiveness of machine learning applications, simple EC encoding approaches suffer from limitations such as false numerical order and high sparsity. To address these issues, we developed EC2Vec, a multimodal autoencoder that preserves the categorical nature of EC numbers and leverages their hierarchical relationships, resulting in more meaningful and informative representations. EC2Vec encodes each digit of the EC number as a categorical token and then processes these embeddings through a …

Comparison Of Deep Learning And Traditional Machine Learning Models For Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers, Kesheng Wang Phd, Ma, Bs, Donald A. Adjeroh, Wei Fang, Suzy M. Walter, Danqing Xiao, Ubolrat Piamjariyakul, Chun Xu

Faculty Publications

Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer’s disease (AD). This study aimed to compare deep learning (DL) and traditional machine learning (ML) methods in predicting MCI using plasma proteomic biomarkers. A total of 239 adults were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort along with a pool of 146 plasma proteomic biomarkers. We evaluated seven traditional ML models (support vector machines (SVMs), logistic regression (LR), naïve Bayes (NB), random forest (RF), k-nearest neighbor …

Trans-Arg: Predicting Antibiotic Resistance Genes With A Transformer-Based Model And Pretrained Protein Language Model, Mohd Manzar Abbas, Amit Ranjan, Aixin Hou, Supratik Mukhopadhyay

Faculty Publications

Antibiotic resistance presents an emerging challenge to global health by reducing the efficacy of antibiotics administered to treat bacterial infections. Traditional approaches for detecting antibiotic resistance genes (ARGs) involve alignment-based sequence similarity techniques, which are time-consuming and resource-intensive. This signifies the necessity for developing advanced computational methods to detect ARGs early. To address this challenge, we introduce Trans-ARG, a novel multi-head attention transformer-based model designed to predict potential ARGs. Our approach leverages the pretrained ESMFold model to extract embeddings from protein sequences, capturing intricate structural and functional information. Protein sequences labelled as ARG or non-ARG were used as the dataset. …

Uncertainty Propagation And Sensitivity Analysis For Constrained Optimization Of Nuclear Waste Vitrification, Lagrande Gunnell, Xiaonan Lu, John D. Vienna, Dong-Sang Kim, Brian J. Riley, John Hedengren

Faculty Publications

The vitrification of high-level waste (HLW) by heating a mixture of glass-forming chemicals (GFCs) with the waste can be improved using a constrained optimization problem. This study explores how different uncertainty propagation (UP) methods implemented with the optimization process can affect the glass formulation of nuclear waste glasses. UP is the effort of propagating uncertain inputs through a system to understand and quantify output distributions. Uncertainty intervals are crafted from output distributions to inform the optimization algorithm. UP is often implemented with Monte Carlo (MC) sampling for large nonlinear systems, which can be difficult to implement within a constrained optimization …

Teaching Archival Silences With The New Hampshire Maps Collection, Kai H. Uchida

Faculty Publications

This conference presentation was given at the Annual Spring 2025 Meeting for New England Archivists.

For the past two years, the University Archivist at Milne Special Collections and Archives at the University of New Hampshire has partnered with an instructor in the Natural Resources and Environmental Studies Department to teach about its historic map collections. This presentation will discuss the planning, execution, and lessons learned from using a historic state maps collection to educate students on the concept of "archival silence," and to advocate for the use of historical map collections to develop critical archival and data literacies.

High-Resolution Model Intercomparison Project Phase 2 (Highresmip2) Towards Cmip7, Malcolm J. Roberts, Kevin A. Reed, Qing Bao, Joseph J. Barsugli, Suzana J. Camargo, Louis Philippe Caron, Ping Chang, Cheng Ta Chen, Hannah M. Christensen, Gokhan Danabasoglu, Ivy Frenger, Neven S. Fučkar, Shabeh Ul Hasson, Helene T. Hewitt, Huanping Huang, Daehyun Kim, Chihiro Kodama, Michael Lai, Lai Yung Ruby Leung, Ryo Mizuta, Paulo Nobre, Pablo Ortega, Dominique Paquin, Christopher D. Roberts, Enrico Scoccimarro, Jon Seddon, Anne Marie Treguier, Chia Ying Tu, Paul A. Ullrich, Pier Luigi Vidale, Michael F. Wehner, Colin M. Zarzycki

Faculty Publications

Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. Consequently, the role of enhanced horizontal resolution in improved process representation in all components of the climate system continues to be of great interest. Recent simulations suggest the possibility of significant changes in both large-scale aspects of the ocean and atmospheric circulations and in the regional responses to climate change, as well as improvements in representations of small-scale processes and extremes, when resolution is enhanced. The first phase of the High-Resolution Model Intercomparison Project (HighResMIP1) …

Developing A Southern Ocean Marine Ecosystem Model Ensemble To Assess Climate Risks And Uncertainties, Kieran Murphy, Denisse Fierro-Arcos, Tyler Rohr, David Green, Camilla Novaglio, Katherine Baker, Kelly Ortega-Cisneros, Tyler D. Eddy, Cheryl S. Harrison, Simeon L. Hill, Patrick Eskuche-Keith, Camila Cataldo-Mendez, Colleen M. Petrik, Matthew Pinkerton, Paul Spence, Ilaria Stollberg, Roshni C. Subramaniam, Rowan Trebilco, Vivitskaia Tulloch, Juliano Palacios-Abrantes, Sophie Bestley, Daniele Bianchi, Philip Boyd, Pearse J. Buchanan, Andrea Bryndum-Buchholz, Marta Coll, Stuart Corney, Samik Datta, Jason D. Everett, Romain Forestier, Elizabeth A. Fulton, Vianney Guibourd De Luzinais, Ryan Heneghan

Faculty Publications

Climate change could irreversibly modify Southern Ocean ecosystems. Marine ecosystem model (MEM) ensembles can assist policy making by projecting future changes and allowing the evaluation and assessment of alternative management approaches. However, projected changes in total consumer biomass from the Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) global MEM ensemble highlight an uncertain future for the Southern Ocean, indicating the need for a region-specific ensemble. A large source of model uncertainty originates from the Earth system models used to force FishMIP models, particularly future changes to lower trophic level biomass and sea-ice coverage. To build confidence in regional MEMs …

Global And Regional Marine Ecosystem Models Reveal Key Uncertainties In Climate Change Projections, Tyler D. Eddy, Ryan F. Heneghan, Andrea Bryndum-Buchholz, Elizabeth A. Fulton, Cheryl S. Harrison, Derek P. Tittensor, Heike K. Lotze, Kelly Ortega-Cisneros, Camilla Novaglio, Daniele Bianchi, Matthias Büchner, Catherine Bulman, William W.L. Cheung, Villy Christensen, Marta Coll, Jason D. Everett, Denisse Fierro-Arcos, Eric D. Galbraith, Didier Gascuel, Jerome Guiet, Steve Mackinson, Olivier Maury, Susa Niiranen, Ricardo Oliveros-Ramos, Juliano Palacios-Abrantes, Chiara Piroddi, Hubert Du Pontavice, Jonathan Reum, Anthony J. Richardson, Jacob Schewe, Lynne Shannon, Yunne Jai Shin, Jeroen Steenbeek

Faculty Publications

Climate change is affecting ocean temperature, acidity, currents, and primary production, causing shifts in species distributions, marine ecosystems, and ultimately fisheries. Earth system models simulate climate change impacts on physical and biogeochemical properties of future oceans under varying emissions scenarios. Coupling these simulations with an ensemble of global marine ecosystem models has indicated broad decreases of fish biomass with warming. However, regional details of these impacts remain much more uncertain. Here, we employ CMIP5 and CMIP6 climate change impact projections using two Earth system models coupled with four regional and nine global marine ecosystem models in 10 ocean regions to …

Hd-Tacs Over The Left Frontal Aslant Tract Entrains Theta Activity Associated With Speech Motor Control, Karim Johari, Fatemeh Tabari

Faculty Publications

Transient disruption or permanent damage to the left Frontal Aslant Tract (FAT) is associated with deficits in speech production. The present study examined the application of theta (4 Hz) high-definition transcranial alternating current stimulation (HD-tACS) over the left SMA and IFG –as a part of FAT- as a potential multisite protocol to modulate neural and behavioral correlates of speech motor control. Twenty-one young adults participated in three counterbalanced sessions in which they received in-phase, anti-phase, and sham theta HD-tACS. In each session, 4 Hz stimulation was applied over the left IFG and SMA, and subsequently EEG data was recorded while …

Modulators Of Energy Expenditure Accuracy In Adults With Overweight Or Obesity: E-Mechanic Secondary Analyses, Rachel Matthews, Christoph Höchsmann, Melissa L. Erickson, James L. Dorling, Guillaume Spielmann, Neil M. Johannsen, Timothy S. Church, Corby K. Martin

Faculty Publications

Purpose American College of Sports Medicine (ACSM) metabolic equations are used to estimate energy expenditure (EE) of physical activity and prescribe aerobic exercise to meet EE requirements. Limited evidence supports their accuracy in sedentary adults with overweight or obesity during controlled exercise interventions. The purpose of this study was to compare EE estimated by the ACSM walking equation versus EE measured by indirect calorimetry during a 24-wk aerobic exercise intervention, and identify potential modulators for their accuracy. Methods Data from the exercising groups (8 or 20 kcal·kg body weight-1·wk-1) of the E-MECHANIC study were utilized in this ancillary analysis (N …

From The Mountains To The Beach: Water Purification Ecosystem Services And Recreational Beach Use In Puerto Rico, Maya Corridore, Rebeca De Jesús Crespo, Mariam Valladares-Castellanos, Thomas Douthat

Faculty Publications

Recreational beach use is important for coastal economies and is influenced by water clarity, a trait that may be maintained by water purification ecosystem services (ESs). However, few studies have addressed these linkages. In this study, we ask the following questions: (1) Do watershed-scale water purification ecosystem services influence coastal water quality? (2) Does coastal water quality help explain beach visitation rates? To address these questions, we focused on Puerto Rico (PR), where coastal tourism has economic and cultural importance. We estimated water purification ESs using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), coastal water quality using long-term …

A 3d Superposition Approximation For Gamma Knife Dose Calculation, Payton H. Stone, Lam M. Lay, Raymi Ramirez, Daniel Neck, Connel Chu, Joyoni Dey, David Solis

Faculty Publications

Effective dose calculation is essential for optimizing Gamma Knife (GK) stereotactic radiosurgery (SRS) treatment plans. Modern GK systems allow independent sector activation, enabling complex dose distributions per shot. This study presents a dose approximation method designed to account for shot flexibility and generate 3D doses external to GammaPlan. A treatment plan was created with the TMR10 calculation for individual sector activations using a Radiosurgery Head Phantom. The resulting dose arrays established a basis set of sector-specific distributions, which were then referenced by shot parameters from the plan, allowing dose accumulation through superposition. This superposition approximation (SA) was compared to the …

Structural And Magnetic Properties Of Cotemo O6, Yu Li, Jared Coles, Xin Gui, Hyowon Park, Yan Wu, Xinglong Chen, Jing Han Chen, Xiaoping Wang, Huibo Cao, Shane Stadler, Omar Chmaissem, David P. Young, Stephan Rosenkranz, John F. Ditusa

Faculty Publications

We have conducted a comprehensive investigation into the magnetic properties of the chiral multiferroic material CoTeMoO6. In contrast with the previous claim of canted antiferromagnetic order with ferromagnetic components [Y. Doi, J. Solid State Chem. 182, 3232 (2009)10.1016/j.jssc.2009.09.008], our investigation reveals an antiferromagnetic ground state with compensated moments, providing an interesting platform for exploring exotic material properties. Through careful measurements of magnetization under a series of applied fields, we demonstrate that there exist two sequential field-induced magnetic transitions in CoTeMoO6, with one occurring at Hc1=460 Oe along the a axis, and the other at Hc2=1.16 T with the field along …

Post-Wildfire Mobilization Of Organic Carbon, Travis Numan, Srinidhi Lokesh, Abrar Shahriar, Anil Timilsina, Myron L. Lard, Justin Clark, Yasaman Raeofy, Qian Zhao, Simon R. Poulson, Paul S. Verburg, Jocelyn A. Richardson, Robert L. Cook, Vera Samburova, Yu Yang

Faculty Publications

Wildfires significantly alter watershed functions, particularly the mobilization of organic carbon (OC). This study investigated OC mobility and the physicochemical characteristics of wildfire-impacted soils and ashes from the northern California and Nevada fires (Dixie, Beckworth, Caldor). Organic carbon in wildfire-derived ashes (9.2–57.3 mg/g) generally exceeded levels in the background soils (4.3–24.4 mg/g), except at the Dixie fire sites. The mobile OC fraction varied from 0.0093 to 0.029 in ashes and 0.010 to 0.065 in soils, though no consistent trend was observed between the ashes and soils. Notably, the ash samples displayed lower OC mobility compared with the soils beneath them. …

Comparing The Restoration Effect And Stress Recovery In Real And Virtual Environments With A Green Wall, Alireza Sedghikhanshir, Yan Chen, Yimin Zhu, Melissa R. Beck, Amirhosein Jafari

Faculty Publications

Biophilic design, incorporating natural elements, is known to enhance stress recovery. Immersive virtual environments (IVEs) are increasingly utilized for biophilic design validation and research, but their efficacy in replicating the restorative effects of real environments remains uncertain. Varying responses to virtual settings suggest that specific design factors may affect their effectiveness. This study provides a novel comparison of the stress recovery and restoration effect between real and virtual green walls in a controlled climate chamber. Sixty-three participants were exposed to either a real or virtual green wall for seven minutes after a 5 min stressor task. Physiological stress responses, including …

Increasing A-Type Co32− Substitution Decreases The Modulus Of Apatite Nanocrystals, Stephanie Wong, Abigail Eaton, Christina Krywka, Arun Nair, Christophe Drouet, Alix Deymier

Faculty Publications

Biological apatite mineral is highly substituted with carbonate (CO₃²⁻). CO₃²⁻ can exchange for either phosphate, known as B-type, or hydroxyl groups, known as A-type. Although the former has been extensively studied, A-type CO₃²⁻ substituted apatites are poorly understood. Therefore, A-type CO₃²⁻ apatites with biologically relevant levels of CO32− (1.7–5.8 wt%) were prepared and characterized. The addition of A-type CO₃²⁻ into the apatite structure caused the predicted expansion of the a-axis and contraction of the c-axis in the unit cell. This was accompanied by a significant modification in the atomic …

Materiality In The Csr-Investor Reaction Relationship: A Replication And Extension Of Flammer (2013), Steven D. Kofford, Myles Melancon, Ben W. Lewis

Faculty Publications

We replicate and extend Flammer’s (2013) event study of investor reaction to environmental corporate social responsibility (CSR). Flammer found that investors reacted positively to eco-friendly events and negatively to eco-harmful events from 1980-2009 and that reaction to positive events decreased while reaction to negative events increased over time. We find similar results for Flamer’s original sample and an expanded sample including the same type of firms (U.S.-listed public firms) from 1980-2019. We then extend Flammer’s results by examining how materiality affects investor reaction over time. We find that investors only react to material events and that positive reaction to material …

Urbanization Impacts Dissolved Organic Matter Concentration And Quality In A Southeastern United States Watershed, Gwendolyn M. Hopper, Erik M. Smith, Jade Dormoy-Boulanger, Claudia R. Benitez-Nelson

Faculty Publications

Blackwater rivers are named due to their exceptionally high concentrations of chromophoric dissolved organic matter (CDOM). They are the predominant lotic ecosystem in the United States Southeastern Coastal Plain, a region experiencing some of the nation’s highest rates of development. This study assessed variability in DOM concentration and composition across forested to urbanized blackwater systems in coastal South Carolina, U.S. Dissolved organic carbon and nutrient concentrations as well as absorbance and fluorescence optical properties reveal that urban sites have lower concentrations, elemental ratios, and less complex DOM. In contrast, forested blackwater sites have concentrations an order of magnitude higher, elevated …

Changes In Foliar Chemistry And Nutrient Resorption In Northern Hardwood Forests In Response To Long-Term Experimental Nitrogen And Phosphorus Addition, Jenna M. Zukswert, Timothy J. Fahey, Matthew A. Vadeboncoeur, Daniel S. Hong, Ruth D. Yanai

Faculty Publications

Northern hardwood forests have long been assumed to be primarily nitrogen limited, but may often be co-limited by multiple elements. Nutrient limitation can be inferred through responses of foliar and litter chemistry to nutrient addition over time. We compared community-level foliar and litter chemistry and resorption efficiency in a long-term, factorial nitrogen (N) and phosphorus (P) fertilization study across 10 forest stands at three sites in New Hampshire, where N and P were added annually. We measured N, P, calcium (Ca), magnesium (Mg), and potassium (K) in foliage from codominant trees and in fresh litter in 2008–2010 (pretreatment) and again …

Legal Residency Status And Its Relationship With Health Indicators Among Syrian Refugees In Lebanon: A Nested Cross-Sectional Study, Marie-Elizabeth Ragi, Hala Ghattas Ph.D., Berthe Abi Zeid, Hazar Shamas, Noura Joseph El Salibi, Sawsan Abdulrahim, Jocelyn Dejong, Stephen J. Mccall, The Caep Study Group

Faculty Publications

Background Failure to possess or renew legal residency permits increases the burden on a vulnerable refugee population. It risks detention or deportation, and hinders access to basic services including healthcare. This study aimed to examine the association between legal residency status and health of Syrian refugees living in Lebanon.

Methods Data were from two independent nested cross-sectional studies collected in 2022 through telephone surveys. In the first study, all Syrian refugees aged 50 years or older from households that received humanitarian assistance were invited to participate. The second included all adult Syrian refugees residing in a suburb of Beirut. The …

Predicting Diabetes Self-Management Education Engagement: Machine Learning Algorithms And Models, Xiangxiang Jiang, Gang Lv, Minghui Li, Jing Yuan, Z Kevin Lu

Faculty Publications

Introduction Diabetes self-management education (DSME) is endorsed by the American Diabetes Association (ADA) as an essential component of diabetes management. However, the utilization of DSME remains limited in the USA. This study aimed to investigate current DSME participation among the older population and to identify comprehensive factors of DSME engagement through employing various machine learning (ML) models based on a US nationally representative survey linked to claims data.

Research design and methods Data from the Medicare Current Beneficiary Survey were employed, and this study included data on US Medicare beneficiaries with diabetes from 2017 to 2019. Comprehensive variables following the …