Digital Commons Network^™

Roadmap: Integrating Artificial Intelligence In Structural Health Monitoring Systems, Simon Laflamme, Erik Blasch, Flippo Ubertini, Zheng Liu, John Wertz, Christine Knott, Matthew Cherry, Eric Lindgren, Fu-Kuo Chang, Amrita Kumar, Jack Poole, Keith Worden, Austin Downey, Jie Wei, Patrick F. Musgrave, Adrian S. Wong, Guiseppe Quaranta, Marco Martino Rosso, Giuseppe Carlo Marano, Yu Chen, Et. Al.

Faculty Publications

Advances in computing and machine learning (ML) methods have led to a rapid rise in artificial intelligence (AI) research and applications in many fields. AI research benefitted from advances in computation hardware, collection and distribution of large data sets, and proliferation of software techniques. AI techniques include ML for provable results, deep learning for data exploration, reinforcement learning for control, and active learning for adaptive systems. Likewise, AI algorithms can handle large amounts of data, construct unknown representations, and provide a direct link between data and classification for decision making. These unmatched capabilities have been seen as a path to …

New Avenues For |Δb=2| Processes Beyond Neutron-Antineutron Oscillations, Arnau Basi Beneito, Svjetlana Fajfer, Alexey A. Petrov

Faculty Publications

We explore baryon-number-violating (|∆B| = 2) processes beyond the well-known neutron-antineutron (n-n̄) oscillations, focusing on the Λ-Λ̄ system. The presence of a strange quark in the Λ baryon introduces a new set of six-quark operators roughly of the form (uds)², which are different from the (udd)² operators responsible for n-n̄ oscillations. Using the Standard Model Effective Field Theory (SMEFT), we classify all dimension-9 operators that cause |∆B| = 2  transitions and study their UV completions mediated by exotic scalar fields with trilinear interactions. We demonstrate that …

Implementation Of Centering-Based Antenatal Group Care In Flanders (Belgium): Experiences Of Women And Health Care Providers; Modalities For Sustainable Integration Into The Health Care System, Bianca Eerens, Astrid Van Damme, Nathalie Leister, Florence Talrich, Christine Mccourt, Deborah Lynn Billings Phd, Marsha Orgill, Matty Crone, Marlies Rijnders, Katrien Beeckman

Faculty Publications

In Belgium, antenatal care is characterized by one-to-one care; with limited integration of community-based approaches. Centering-Based Group Care (CBGC), derived from the CenteringPregnancy^® model, offers an alternative by combining clinical follow-up, health education, and peer support in group sessions. This study focuses on the experiences of participants and facilitators with the implementation of CBGC in three Flemish cities (Aalst, Gent, Leuven) as part of the European Union GC_1000 project. We explored the experience regarding the implementation process along with factors influencing sustainable integration into the health care system.

Methods

A total of 193 women participated in 30 CBGC trajectories …

Rewriting The Rules: Game-Based Learning For Affective And Cognitive Student Engagement In An Undergraduate History Course, Rachel Hoke, James Risk

Faculty Publications

Constructivist psychology has long demonstrated the potential for play to offer various benefits to learning. This study introduced active game-based learning experiences, in the form of role-playing games, into an undergraduate history course that also included passive lecture and discussion elements. Mixed methods student feedback surveys were used to examine the impacts of game-based learning on students’ affective and cognitive engagement in the course and offer a comparison between the lecture and game-based learning experiences. Qualitative data were analyzed through the paradigm of Mohsen, Abdollahi, and Omar’s (2019, 518-520) framework for educational value, including affective evaluation, conceptual understanding, skill development, …

Efficient Energy-Stable Discontinuous Galerkin Schemefor The Non-Isothermal Cahn–Hilliard–Navier–Stokestwo-Phase Fluid Flow System, Guang-An Zou, Meiting Wang, Kejia Pan, Yin Yang, Xiaofeng Yang

Faculty Publications

In this article, we propose a novel numerical framework for the non-isothermal Cahn–Hilliard–Navier–Stokes two-phase flow system, which couples the incompressible Navier–Stokes equations, the Cahn–Hilliard phase-field equation, and the heat transport equation to capture temperature-dependent two-phase flow dynamics. The pro-posed scheme achieves three major advances: (i) unconditional energy stability through a combined scalar auxiliary variable (SAV) and zero-energy-contribution (ZEC) approach, (ii) linearity and full decoupling of all variables while using a second-order temporal discretization, and (iii) efficient implementation via discontinuous Galerkin (DG) spa-tial discretization together with a second-order projection method for the Navier–Stokes equations. We rigorously prove the unconditional energy stability …

Congruence Properties Modulo Prime Powers For A Class Of Partition Functions, Matthew Boylan, Swati .

Faculty Publications

Let p be prime, and let p_[1,p](n) denote the function whose generating function is

∏ _n≥1 (1 − qⁿ)⁻¹ (1 − q^pn)⁻¹.

This function and its generalizations p_[c^r,d^m](n) are the subject of study in several recent papers. Let ℓ ≥ 5, let j ≥ 1, and let p ∈ {2, 3, 5}. In this paper, we prove that the generating function for p_[1,p](n) in the progression β_{p,ℓ,j …}

Ulk4 And Cdkn2a Polymorphisms Influence The Risk Of Developing Monoclonal Gammopathy Of Undetermined Significance, José Manuuel Sánchez-Maldonado, Angelica Macauda, Antonio José Cabrera-Serrano, Hauke Thomsen, Murat Güler, Rob Ter Horst, Bethany Van Guelpen, Pavel Vodicka, Stefano Landi, Subhayan Chattopadhyay, Pelin Ünal, Lucía Ruiz-Durán, Delphine Casabonne, Hartmut Goldschmidt, Istemi Serin, María Carretero-Fernández, Elena Cabezudo, Fernando Reyes-Zurita, Alyssa I. Clay-Gilmour, Et. Al.

Faculty Publications

Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy-related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy-related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood-derived immune cell subsets and 103 circulating immunological proteins. Meta-analysis revealed a genome-wide significant association between the ULK4 …

Impact Of Medicaid Enrollment Timing On Tumor Stage At Diagnosis And Survival In Breast, Colorectal, And Lung Cancer, Gabriel A. Benavidez, Stella Coker Watson Self Ph.D., Ms, Anthony Alberg Ph.D., M.P.H., Janice Probst, Jan Marie Eberth

Faculty Publications

Background: Medicaid-insured patients experience higher rates of late-stage cancer diagnosis and worse survival than non-Medicaid patients. The impact of Medicaid enrollment timing on cancer outcomes is less clear. This study examines the association between Medicaid enrollment and timing with tumor stage and cancer-specific survival for breast, colorectal, and lung cancers. Methods: We analyzed SEER-Medicaid linked data for 276,755 breast, 104,784 colorectal, and 101,058 lung cancer patients < 65 years of age. Patients were categorized as non-Medicaid enrollees, pre-diagnosis enrollees (≥12 months before), or post-diagnosis enrollees (≤12 months after). Multivariable logistic regression estimated odds ratios of late-stage diagnosis, and cause-specific Cox proportional hazards models were used to assess cancer-specific survival, adjusting for demographic and socioeconomic factors. Results: Compared to non-Medicaid enrollees, post-diagnosis enrollees had the highest odds of late-stage diagnosis (breast cancer: OR: 3.41; colorectal cancer: OR: 3.78; lung cancer: OR: 1.87). Pre-diagnosis enrollees also had increased odds, but the …

A Collostructional Approach To The Concealed Passive Construction In English, Rok Sim, Jungsoo Kim

Faculty Publications

This study investigates the English concealed passive construction (CPC), as in the car needs washing, using authentic corpus data. While previous research has explored certain aspects of the CPC, little attention has been given to strongly associated matrix verbs (or verb types) and interactions between matrix verbs (or verb types) and other elements of the construction. To address these issues, we apply three types of collostructional analysis, and our findings indicate that no single, straightforward pattern emerges with respect to real-life grammatical properties of the CPC. We then show that the well-known distinction between raising and control constructions, formalized …

Moderate-Temperature Hydrothermal Treatment Removes Detectable Dna And Antibiotic Resistance Genes From Municipal Sludge While Preserving Resource Value, R Sean Norman M.Sc., Ph.D., Mirza Isanovic, Gabrielle Kartzmark, Nicole Berge

Faculty Publications

Wastewater treatment plants (WWTPs) are key reservoirs of antibiotic resistance genes (ARGs), with municipal sludge containing high bacterial densities and diverse ARGs that may spread through land application. Hydrothermal treatment (HT) is a process that inactivates pathogens and stabilizes biomass, but its performance at moderate temperatures is less understood. We evaluated HT (100°C–250°C; 2–24 h) for degrading bacterial DNA and ARGs in dewatered municipal sludge. DNA was quantified by fluorometry, bacterial presence confirmed by 16S rRNA gene PCR, and ARGs profiled by qPCR targeting 84 clinically and environmentally relevant genes. HT up to 250°C produced modest carbon densification, high solids …

Moderate-Temperature Hydrothermal Treatment Removes Detectable Dna And Antibiotic Resistance Genes From Municipal Sludge While Preserving Resource Value, R. Sean Norman, Mirza Isanovic, Gabrielle Kartzmark, Nicole Berge

Faculty Publications

Wastewater treatment plants (WWTPs) are key reservoirs of antibiotic resistance genes (ARGs), with municipal sludge containing high bacterial densities and diverse ARGs that may spread through land application. Hydrothermal treatment (HT) is a process that inactivates pathogens and stabilizes biomass, but its performance at moderate temperatures is less understood. We evaluated HT (100°C–250°C; 2–24 h) for degrading bacterial DNA and ARGs in dewatered municipal sludge. DNA was quantified by fluorometry, bacterial presence confirmed by 16S rRNA gene PCR, and ARGs profiled by qPCR targeting 84 clinically and environmentally relevant genes. HT up to 250°C produced modest carbon densification, high solids …

Towards Sustainable Energy Storage: Evaluating The Performance Of Three Polymer Electrolytes For Zinc-Ion Batteries, Roya Rajabi, Shichen Sun, Buke Sun, Jamil A. Khan, Kevin Huang

Faculty Publications

Polymer electrolytes have been explored as an alternative to conventional aqueous electrolytes in zinc-ion batteries, particularly for flexible and wearable applications. Despite the increasing interest in polymer electrolyte-based zinc-ion batteries (ZIBs), their development is still in its early stages due to various challenges. In this study, we investigated three promising polymer electrolytes: CSAM (carboxyl methyl chitosan with acrylamide monomer), PAM (polyacrylamide monomer hydrogel electrolyte), and p-PBI (phosphate-doped polybenzimidazole solid electrolyte) with Zn(ClO₄)₂ and Zn(OTf)₂, as electrolytes for zinc-ion batteries. The p-PBI solid electrolyte showed high mechanical stability and improved resistance to short-circuiting during cycling. The …

Towards Sustainable Energy Storage: Evaluating The Performance Of Three Polymer Electrolytes For Zinc-Ion Batteries, Roya Rajabi, Shichen Sun, Buke Wu, Jamil A. Khan, Kevin Huang

Faculty Publications

Polymer electrolytes have been explored as an alternative to conventional aqueous electrolytes in zinc-ion batteries, particularly for flexible and wearable applications. Despite the increasing interest in polymer electrolyte-based zinc-ion batteries (ZIBs), their development is still in its early stages due to various challenges. In this study, we investigated three promising polymer electrolytes: CSAM (carboxyl methyl chitosan with acrylamide monomer), PAM (polyacrylamide monomer hydrogel electrolyte), and p-PBI (phosphate-doped polybenzimidazole solid electrolyte) with Zn(ClO4)2 and Zn(OTf)2, as electrolytes for zinc-ion batteries. The p-PBI solid electrolyte showed high mechanical stability and improved resistance to short-circuiting during cycling. The presence of carboxyl groups in …

Rural–Urban Differences In Cognitive Outcomes Among Older Adults: The Roles Of Falls And Depressive Symptoms, Ayse Malatyali, Tom Cidav, Lisa A.K. Wiese, Jian Zou, Monique J. Brown Ph.D., Mph, Junfeng Ma, Breno S. Diniz, Ladda Thiamwong

Faculty Publications

Background: Older adults with Alzheimer’s Disease and Related Dementias (ADRD) experience a higher risk of falls. However, research lacks evidence on the effect of fall exposure on cognitive impairment and dementia. We investigated the association of falls and depressive symptoms with cognitive impairment and dementia in a nationally representative sample. Methods: We analyzed data from 6221 participants (age ≥ 65) in the Health and Retirement Study (HRS) from the 2018–2020 waves, using Multinomial logistic regression models. Measures included the HRS health status questionnaire, HRS cognition scale, and the Center for Epidemiological Studies Depression scale. Results: Prevalence of fall exposure across …

Rural–Urban Differences In Cognitive Outcomes Among Older Adults: The Roles Of Falls And Depressive Symptoms, Ayse Malatyali, Tom Cidav, Lisa A.K. Wiese, Jian Zou, Monique J. Brown Ph.D., Mph, Junfeng Ma, Breno S. Diniz, Ladda Thiamwong

Faculty Publications

Background: Older adults with Alzheimer’s Disease and Related Dementias (ADRD) experience a higher risk of falls. However, research lacks evidence on the effect of fall exposure on cognitive impairment and dementia. We investigated the association of falls and depressive symptoms with cognitive impairment and dementia in a nationally representative sample. Methods: We analyzed data from 6221 participants (age ≥ 65) in the Health and Retirement Study (HRS) from the 2018–2020 waves, using Multinomial logistic regression models. Measures included the HRS health status questionnaire, HRS cognition scale, and the Center for Epidemiological Studies Depression scale. Results: Prevalence of fall exposure across …

Modeling The Impact Of Shade Pavilions On Wet Bulb Globe Temperature And Activity Modification In Outdoor Sports Across Diverse U.S. Climates, Andrew Grundstein, Susan W. Yeargin Ph.D., Atc, Lat, Earl Cooper, Lilly Cargile

Faculty Publications

Extreme heat is an ongoing hazard for outdoor sports. In response, schools, recreation departments, and fitness clubs are increasingly installing shade pavilions over venues like football fields and tennis courts. While shading is known to improve thermal comfort and reduce heat stress, its effects on wet bulb globe temperature (WBGT) and related activity modification guidelines in sports remain underexplored. This study uses a modeling approach to quantify the impact of shade pavilions on WBGT and activity modification across a range of U.S. climates.

WBGT values were calculated using a model based on historical data from 221 weather stations, each with …

Main-Chain Ion-Pair Polybenzimidazole Membranes Enabling Reduced-Temperature Ht-Pemfc Operation (Down To 120°C), Huina Lin, Brian C. Benicewicz

Faculty Publications

Proton exchange membrane (PEM) fuel cells are promising for clean and efficient energy conversion across diverse applications. High-temperature PEM fuel cells (HT-PEMFCs) using phosphoric acid (PA)-doped polybenzimidazole (PBI) can operate up to 200°C, but at lower temperatures, water-induced PA loss often leads to performance degradation and reduced durability. In this work, we present a new class of main-chain ion-pair PBI membranes by integrating the imidazolium-biphosphate ion-pair units directly into the PBI backbone. This design results in membranes with high acid content, stronger acid-polymer interactions and stabilized acid retention. In single-cell tests, the Im⁺-PBI15-3 wt.% exhibits peak power densities …

Generation Of Inner Core Anisotropy By Anisotropic Thermal Conductivity Of Iron Crystals, Prajna Paramita Das, Bruce Buffett, Daniel A. Frost

Faculty Publications

Seismic anisotropy in the Earth’s inner core refers to the observation that seismic waves travel faster along the Earth’s rotation axis than in the equatorial plane, a feature inferred from decades of global seismological observations. This directional dependence of wave speeds provides important clues about the structure, composition and dynamics of the inner core. Here we explore a coupled thermo-mechanical mechanism for the generation of inner core anisotropy, focusing on the effects of anisotropic thermal conductivity in iron crystals as the inner core cools. We propose that the higher thermal conductivity of iron along the crystallographic c-axis compared with …

Beyond Catalysts And Membranes: Using Cell Assembly And Operating Strategies To Significantly Improve The Performance Of Aem Electrolyzers, Mahmoud Amirsalehi, Venkata Sai Sriram Mosali, Mohammed Al-Murisi, Shaghayegh Bashiri, Hari Gopi, Pongsarun Satjaritanun, Benjamin Britton, Karen Swider-Lyons, Mustain E. William

Faculty Publications

Green hydrogen, produced through water electrolysis, is a key enabler of a low-carbon energy future, and anion exchange membrane electrolyzers (AEMELs) have emerged as a promising technology due to their potential for ultra-low-cost operation. However, achieving low cell voltage at high current densities and maintaining long-term durability remain key AEMEL challenges. To address these issues, most research efforts to date have focused on developing advanced catalysts and membranes. In contrast, the influence of non-material factors, such as cell assembly parameters and operating conditions, remains underexplored, even though they can significantly impact performance. This study investigates how such variables affect AEMEL …

More Rights, More Danger For Police: An Experimental Look At How Messaging Shapes Public Views About Constitutional Carry, Hunter M. Boehme, Paige Vaughn

Faculty Publications

Constitutional carry (CC) laws, now enacted in 29 states, allow individuals to carry firearms openly without permits, yet little is known about public perceptions of these laws. This study employs a pre-registered survey experimental design to investigate whether varying support for CC laws by police leaders and politicians influences attitudes toward the laws and their perceived consequences. One-third of respondents supported CC laws, with most disagreeing that they will make communities safer. The majority of the sample felt these laws would increase personal liberty but also felt these laws would increase police danger. Oppositional messaging increased agreement that the laws …

Cognitive And Emotional Conflict Control Among Children Affected By Parental Hiv/Aids In China, Huihui Wang, Juan Liu, Danfeng Wen, Wan Zhao, Xiaoming Li Ph.D., Junfeng Zhao

Faculty Publications

Background: Children affected by parental HIV/AIDS constitute a particularly vulnerable population, often facing heightened risks in psychosocial adaptation due to family disruption, social stigma, and resource deprivation. However, the characteristics of their executive functions, particularly the core component of conflict monitoring, remain unclear.

Methods: The present study compared the performance of children affected by parental HIV/AIDS (n=32) to a control group (n=32) on a cognitive conflict and emotional conflict face-word Stroop task.

Results: The results of the cognitive Stroop task demonstrated that both groups showed better performance in congruent stimuli compared to incongruent stimuli (86.20% vs.67.30%; 568.43ms vs.586.04ms). In the …

Impediments To Transforming The Healthcare Delivery System: Shifting The Paradigm From Provider Centric To Patient Centric, Elizabeth A. Regan, Manasa Devi Chinta

Faculty Publications

Introduction: 

Stated aims for digital healthcare transformation frequently cite goals for better coordinated patient-centric systems. However, despite advances in medical science, digital technologies, health policies, and billions of dollars invested over the past 25 years, most healthcare providers are far from fully realizing the demonstrated benefits of today's digital technologies for improving patient care. Sharing information across healthcare systems remains challenging. Problems with fragmentation, quality, inequities, and rising costs of care delivery persist. A recent study of 1,026 U.S. hospital systems found that only 15.8 percent achieved a digital maturity level needed to provide digitally enabled healthcare services to better …

Korean Words In The Oed: Race, Gender, And The Modern English Speaker, Elaine W. Chun

Faculty Publications

This article examines representations of the Modern English Speaker of Korean (MESK) in the Oxford English Dictionary (OED), as lexicographers listened to and documented the language of this figure over the past century. I show that, until the early twenty-first century, the most salient type of MESK was the Koreanist, a white, masculine expert on and translator of Korean, the language of a racial other. By contrast, more recent Korean entries, influenced by the global spread of hallyu, have invoked the Korea Fan, a figure that potentially unsettles longstanding ideologies of language, race, and gender. I …

Influence Of Pulse Width On Energy Deposition And Temperature In Nanosecond-Pulsed Discharges, Christopher B. Reuter, Joshua B. Sinrud, Tanvir I. Farouk, Nicholas S. Dewey, Dmitri Kaganovich

Faculty Publications

Nanosecond-pulsed discharges are a promising method to enhance combustion but can generate significant levels of electromagnetic interference (EMI). Modifying the discharge pulse width is an unexplored option to reduce EMI, but few studies have examined how changing the pulse width affects discharge parameters such as energy and temperature. This study addresses this issue by systematically investigating how the pulse width affects the energy per pulse, breakdown time, rotational temperature, and vibrational temperature in air across different frequencies, flow velocities, and gap distances in a plasma-assisted flow tube. It is observed that the pulse width has a substantial impact on the …

A Review Of Interaction Between Sleep Apnea And Apoe E4 On The Risk Of Dementia, Xiuhua Ding, Carol Watwood, Amit Patel, Krupa Hegde, Brooke Mahanna, Lindsey Escudero, Jean Neils-Strunjas Ph.D, Ccc-Slp

Faculty Publications

Dementia has a significant impact on individuals, families, communities, and the economy. Alzheimer’s disease (AD) accounts for 60–80% of dementia cases. The APOE e4 allele is well known as the primary genetic risk factor for AD and dementia. Studies have also shown that sleep apnea increases the risk of dementia. Some research further suggests a possible interaction between sleep apnea and the APOE in dementia development; however, this relationship remains unclear. The purpose of this study is to synthesize evidence from the existing literature and report findings on the relationship between APOE, sleep apnea, and dementia. A systematic search of …

Hybrid Cnn–Gru-Based Demand–Supply Forecasting To Enhance Sustainability In Renewable-Integrated Smart Grids, Süleyman Emre Eyimaya, Necmi Altin

Faculty Publications

The rapid integration of renewable energy sources in smart grids has introduced significant uncertainty in both power generation and consumption patterns, posing challenges to environmental, economic, and operational sustainability. Accurate short-term forecasting of energy demand and supply is essential for achieving optimal scheduling, grid stability, and resilient operation in renewable-integrated power systems. This study proposes a hybrid deep learning framework combining Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) for intelligent joint demand–supply forecasting in smart grids. The model was developed and implemented in MATLAB using real-world datasets comprising electricity consumption, photovoltaic (PV) generation, temperature, and irradiance variables. Comparative …

Handling Item-Level Missing Data In Linear Regression: A Tutorial, Guyin Zhang, Lihan Chen, Dexin Shen

Faculty Publications

With advances in methodology and statistical software, modern methods for handling missing data have become more accessible and straightforward to apply. In psychological studies, researchers often use questionnaires or scales composed of multiple items to measure constructs of interest. As a result, missing values frequently occur at the item level, whereas data analyses are typically conducted at the scale (composite) level. However, properly addressing item-level missing data remains a common challenge for many applied psychologists, including researchers who are otherwise well experienced in handling missing data at the scale level. In this tutorial, we introduce six approaches for handling item-level …

Text Messages To Improve Young Child Diets: Results From A Cluster-Randomized Controlled Trial In Kanchanpur, Nepal, Kenda Cunningham, Sidney Cech, Aman Sen Gupta, Pooja Pandey Rana, Debbie Humphries, Edward A. Frongillo Jr. Ph.D.

Faculty Publications

The objective of this study was to test whether adding a text message campaign about the importance of eating eggs and other nutrition-related behaviours to an on-going package of large-scale, diverse social and behaviour change interventions would improve four types of nutrition-related knowledge and behaviour outcomes: child diets (egg consumption as the primary outcome), maternal diets, maternal nutrition knowledge, and maternal participation in additional interventions. The cluster-randomized controlled trial involved a repeat cross-sectional design, recruiting families with children 12–23 months of age at baseline and endline in one plains district of Nepal. Throughout the 1000-day period, 51 text messages were …

Impact Of Suaahara, An At-Scale Multisectoral Nutrition Programme, On Health Workers’ Maternal And Child Health, And Nutrition Knowledge And Skills In Nepal, Deependra K. Thapa, Edward A. Frongillo Jr. Ph.D., Shalini Suresh, Ramesh P. Adhikari, Bhim Pun, Karuna L. Shakya, Raj Mandal, Subir K. Kole, Kenda Cunningham

Faculty Publications

Suaahara, an at-scale multisectoral nutrition programme in Nepal, aimed to advance knowledge and skills of frontline health workers to improve the quality of nutrition and health services at health facility and community levels. This study assessed the impact of Suaahara interventions on knowledge and skills of health facility workers and Female Community Health Volunteers (FCHVs). The study used a quasi-experimental design in which four Suaahara intervention districts were compared with pair-matched comparison districts. One health facility worker and three FCHVs from each survey cluster were included. Baseline survey consisted of 93 health facility workers (2015) and 118 FCHVs (2012), and …

Characterization And Response To Exercise Training Of Hdl-Specific Phospholipid Efflux, Eric C. Leszcynski, Charles S. Schwartz, Kiani J.C. Jacobs, Prasun L. Dev, Sujoy Ghosh, Jeremy M. Robbins, Robert E. Gerszten, Anand Rohatgi, Timothy S. Collier, Robert J. Konard, Masaki Sato, Rafael Zubirán, Claude Bouchard, Edward B. Neufeld, Alan T. Remaley, Mark A. Sarzynski Facsm

Faculty Publications

The HDL-specific phospholipid efflux (HDL-SPE) assay is a novel cell-free measure of HDL function that is inversely associated with coronary artery disease. However, the effect of exercise training on HDL-SPE is unknown. The purpose of this study was to examine the effect of exercise training on HDL-SPE in a large, diverse cohort free of overt disease. Clinical and functional measures of HDL were taken before and after 20 weeks of endurance exercise training in 508 participants from the HERITAGE Family Study. Associations of HDL-SPE with HDL-related traits were examined using Pearson's correlations at baseline and following exercise training (significance: P …