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Development Of A Web Application For Traffic Accident Mapping And Analysis, Susan Bogus Halter, Su Zhang, Arian Golrokh Amin Jan 2024

Development Of A Web Application For Traffic Accident Mapping And Analysis, Susan Bogus Halter, Su Zhang, Arian Golrokh Amin

Publications

It is widely accepted that road traffic safety is a significant public health issue. One of the effective ways to improve road traffic safety is analyzing crash data to understand where traffic accidents occur, identify associated spatial and temporal patterns, and determine causation. In the State of New Mexico, locations of traffic accidents are currently visualized using a variety of static maps. Although these statics maps are easier to create and producers can control how users view the data, users cannot customize these maps to meet their special needs. That being said, new maps need to be created for any …

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Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek Jan 2024

Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek

Publications

This research project focused on the innovative application of Augmented Reality (AR) headsets to enhance bridge inspection processes and inspection training. The study encompassed the visualization of 3D point cloud data, utilized the Eye-Tracking features of AR headsets for inspection quantification, evaluate the applicability of AR in the bridge inspection training and instruction of an AR virtual menu for the in-field bridge inspection. The primary tasks included establishing a database connection for AR headset, designing an AR menu tailored for bridge inspection, devising an evaluation method based on Eye-Tracking capabilities, and integrating AR into bridge inspection training. Once the technical …

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Deep Reinforcement Learning-Based Digital Twin For Risk Improved Decision Making In Transportation Construction, Yong-Cheol Lee, Anisha Deria Jan 2024

Deep Reinforcement Learning-Based Digital Twin For Risk Improved Decision Making In Transportation Construction, Yong-Cheol Lee, Anisha Deria

Publications

Organizing and overseeing a large number of transportation construction and maintenance projects that generally entail several miles of a worksite are a critical burden for each DOT. In addition, it requires manual monitoring of a project or construction managers to identify a progress status, a work activity, and a safety issue in a job site. Because of the projected huge volume, complexity, significant impacts of future transportation infrastructure projects, it is evident that we are now facing a critical need to create a means of improving the results of work zone management and evaluating their impacts on our society. In …

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Atmospheric Flash Drought In The Caribbean, Craig A. Ramseyer, Paul W. Miller Dec 2023

Atmospheric Flash Drought In The Caribbean, Craig A. Ramseyer, Paul W. Miller

Faculty Publications

Despite the intensifying interest in flash drought both within the United States and globally, moist tropical landscapes have largely escaped the attention of the flash drought community. Because these ecozones are acclimatized to receiving regular, near-daily precipitation, they are especially vulnerable to rapid-drying events. This is particularly true within the Caribbean Sea basin where numerous small islands lack the surface and groundwater resources to cope with swiftly developing drought conditions. This study fills the tropical flash drought gap by examining the pervasiveness of flash drought across the pan-Caribbean region using a recently proposed criterion based on the evaporative demand drought …

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Identifying Healthy Individuals With Alzheimer’S Disease Neuroimaging Phenotypes In The Uk Biobank, Tiago Azevedo, Richard A.I. Bethlehem, David J. Whiteside, Nol Swaddiwudhipong, James B. Rowe, Pietro Lió, Timothy Rittman, Gail Li, Eric C. Petrie, Elaine R. Peskind, Teresa Villena, Walter Martinez, Carl Sadowsky, Athena Lee, Lisa Ravdin, Michael Lin, Gloria Chiang, Norman Relkin, Robert B. Santulli, Mary L. Hynes, Marc Seltzer, Laura A. Flashman, Karen Anderson, Karen Blank, Godfrey D. Pearlson, Smita Kittur, Stephen Correia, Paul Malloy, Stephen Salloway, Steven Potkin, Paul Newhouse, Angelica Garcia, Jiong Shi, Joseph Masdeu Dec 2023

Identifying Healthy Individuals With Alzheimer’S Disease Neuroimaging Phenotypes In The Uk Biobank, Tiago Azevedo, Richard A.I. Bethlehem, David J. Whiteside, Nol Swaddiwudhipong, James B. Rowe, Pietro Lió, Timothy Rittman, Gail Li, Eric C. Petrie, Elaine R. Peskind, Teresa Villena, Walter Martinez, Carl Sadowsky, Athena Lee, Lisa Ravdin, Michael Lin, Gloria Chiang, Norman Relkin, Robert B. Santulli, Mary L. Hynes, Marc Seltzer, Laura A. Flashman, Karen Anderson, Karen Blank, Godfrey D. Pearlson, Smita Kittur, Stephen Correia, Paul Malloy, Stephen Salloway, Steven Potkin, Paul Newhouse, Angelica Garcia, Jiong Shi, Joseph Masdeu

Clinical Research Faculty Publications

Spotting people with dementia early is challenging, but important to identify people for trials of treatment and prevention. We used brain scans of people with Alzheimer’s disease, the commonest type of dementia, and applied an artificial intelligence method to spot people with Alzheimer’s disease. We used this to find people in the Healthy UK Biobank study who might have early Alzheimer’s disease. The people we found had subtle changes in their memory and thinking to suggest they may have early disease, and we also found they had high blood pressure and smoked for longer. We have demonstrated an approach that …

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Refining The Diagnosis Of Gestational Diabetes Mellitus: A Systematic Review And Meta-Analysis, Ellen C. Francis, Camille E. Powe, William L. Lowe, Sara L. White, Sara L. White, Denise M. Scholtens, Jiaxi Yang, Yeyi Zhu, Cuilin Zhang, Marie France Hivert, Marie France Hivert, Soo Heon Kwak, Arianne Sweeting, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram Dec 2023

Refining The Diagnosis Of Gestational Diabetes Mellitus: A Systematic Review And Meta-Analysis, Ellen C. Francis, Camille E. Powe, William L. Lowe, Sara L. White, Sara L. White, Denise M. Scholtens, Jiaxi Yang, Yeyi Zhu, Cuilin Zhang, Marie France Hivert, Marie France Hivert, Soo Heon Kwak, Arianne Sweeting, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram

Clinical Research Faculty Publications

Background: Perinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM. Methods: Systematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal …

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Utility And Precision Evidence Of Technology In The Treatment Of Type 1 Diabetes: A Systematic Review, Laura M. Jacobsen, Jennifer L. Sherr, Elizabeth Considine, Angela Chen, Sarah M. Peeling, Margo Hulsmans, Sara Charleer, Marzhan Urazbayeva, Mustafa Tosur, Selma Alamarie, Maria J. Redondo, Korey K. Hood, Peter A. Gottlieb, Pieter Gillard, Jessie J. Wong, Irl B. Hirsch, Richard E. Pratley, Lori M. Laffel, Chantal Mathieu, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Robert K. Semple, Rebecca M. Reynolds, Leanne M. Redman, Rodica Pop-Busui, Toni I. Pollin, Wei Perng Dec 2023

Utility And Precision Evidence Of Technology In The Treatment Of Type 1 Diabetes: A Systematic Review, Laura M. Jacobsen, Jennifer L. Sherr, Elizabeth Considine, Angela Chen, Sarah M. Peeling, Margo Hulsmans, Sara Charleer, Marzhan Urazbayeva, Mustafa Tosur, Selma Alamarie, Maria J. Redondo, Korey K. Hood, Peter A. Gottlieb, Pieter Gillard, Jessie J. Wong, Irl B. Hirsch, Richard E. Pratley, Lori M. Laffel, Chantal Mathieu, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Robert K. Semple, Rebecca M. Reynolds, Leanne M. Redman, Rodica Pop-Busui, Toni I. Pollin, Wei Perng

Clinical Research Faculty Publications

Background: The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. Methods: Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). Results: We find …

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A Survey On Mosquito Control Knowledge And Insecticide Use In New Orleans, La, 2020–2021, Erin R. Cloherty, Janet C. Mcallister, James A. Ottea, Kristen Healy, Claudia Riegel Dec 2023

A Survey On Mosquito Control Knowledge And Insecticide Use In New Orleans, La, 2020–2021, Erin R. Cloherty, Janet C. Mcallister, James A. Ottea, Kristen Healy, Claudia Riegel

Faculty Publications

Mosquitoes are a known public nuisance and can vector various diseases. Historically, New Orleans, LA, has long been acquainted with the burden of mosquito-borne diseases, such as malaria and yellow fever in the 20th century and West Nile virus in the 21st century. Government mosquito control awareness campaigns have been around for decades as has the use of organophosphate and pyrethroid insecticides by mosquito abatement districts. However, few data are available on public perception of mosquito control and public usage of insecticides to kill mosquitoes in New Orleans. We conducted a survey from August 2020 to July 2021 to evaluate …

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A Repeated-Measures Study Of Relational Turbulence And Transition Processing Communication During The Summer Of Covid-19 (Summer 2020), Kellie St Cyr Brisini, Denise Haunani Solomon Dec 2023

A Repeated-Measures Study Of Relational Turbulence And Transition Processing Communication During The Summer Of Covid-19 (Summer 2020), Kellie St Cyr Brisini, Denise Haunani Solomon

Faculty Publications

Drawing upon relational turbulence theory and the experiencing life transitions model, this study examined communication and relationship qualities as married couples experienced work-family changes during the COVID-19 pandemic. Sixty-four American married, different-sex partners affected by job-related changes due to COVID-19 reported their relationship qualities and their own and their spouse’s engagement in transition processing communication weekly for 10 weeks. Hypotheses addressed associations between relationship qualities and communication experiences both averaged across the 10 weeks and indexed by within-week deviations from those averages, controlling for the previous week’s reports. Husbands’ and wives’ own attempts—and also their perceptions of their spouse’s attempts—to …

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Linking Stress To The Emergence Of Relational Turbulence In Marriage, Kellie St Cyr Brisini, Denise Haunani Solomon, Miriam Brinberg Dec 2023

Linking Stress To The Emergence Of Relational Turbulence In Marriage, Kellie St Cyr Brisini, Denise Haunani Solomon, Miriam Brinberg

Faculty Publications

The assumption that stress negatively impacts marital relationships is widely accepted; however, the majority of research has focused on marital satisfaction as the outcome of interest. Relational turbulence is a quality of romantic associations on par with—but distinct from—satisfaction, in which partners conceptualize their relationship as chaotic or tumultuous. This paper draws on relational turbulence theory (RTT) and stress spillover research to propose that day-to-day stress corresponds with perceptions of relational uncertainty and interdependence, which contributes to increases in relational turbulence. We evaluated these assumptions using data from 64 heterosexual married partners who experienced work-related disruptions due to the COVID-19 …

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Building Resilience To Extreme Weather And Climate Events In The Rural Water And Wastewater Sectors, Nathan P. Kettle, Sarah F. Trainor, Renee Edwards, Donald Antrobus, Curt Baranowski, Tina Buxbaum, Kevin Berry, Michael Brubaker, Kristine L. De Long, Steve Fries, Davin Holen, Barry Keim, Danielle Meeker, Harry Penn, Cheryl Rosa, Rick Thoman, John Walsh, Jian Zhang Dec 2023

Building Resilience To Extreme Weather And Climate Events In The Rural Water And Wastewater Sectors, Nathan P. Kettle, Sarah F. Trainor, Renee Edwards, Donald Antrobus, Curt Baranowski, Tina Buxbaum, Kevin Berry, Michael Brubaker, Kristine L. De Long, Steve Fries, Davin Holen, Barry Keim, Danielle Meeker, Harry Penn, Cheryl Rosa, Rick Thoman, John Walsh, Jian Zhang

Faculty Publications

Extreme weather and climate events pose significant risks to rural water and wastewater systems. We examine the vulnerability of the water sector to weather and climate extremes in rural, predominantly Indigenous and underserved coastal areas and analyze how networks support resilience. Drawing on the analysis of 39 web-based questionnaire responses and 19 interviews with rural water and wastewater managers and service providers in southern Louisiana and western Alaska, this article reports a range of interrelated historical, environmental, and social factors that influence vulnerability to extreme weather events. Formal and informal social networks serve multiple roles in building resilience. These roles …

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Sensory Spinal Interoceptive Pathways And Energy Balance Regulation, Heike Münzberg, Hans Rudolf Berthoud, Winfried L. Neuhuber Dec 2023

Sensory Spinal Interoceptive Pathways And Energy Balance Regulation, Heike Münzberg, Hans Rudolf Berthoud, Winfried L. Neuhuber

Division of Basic Science Faculty Publications

Interoception plays an important role in homeostatic regulation of energy intake and metabolism. Major interoceptive pathways include gut-to-brain and adipose tissue-to brain signaling via vagal sensory nerves and hormones, such as leptin. However, signaling via spinal sensory neurons is rapidly emerging as an additional important signaling pathway. Here we provide an in-depth review of the known anatomy and functions of spinal sensory pathways and discuss potential mechanisms relevant for energy balance homeostasis in health and disease. Because sensory innervation by dorsal root ganglia (DRG) neurons goes far beyond vagally innervated viscera and includes adipose tissue, skeletal muscle, and skin, it …

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The Personalized Nutrition Study (Points): Evaluation Of A Genetically Informed Weight Loss Approach, A Randomized Clinical Trial, Christoph Höchsmann, Shengping Yang, José M. Ordovás, James L. Dorling, Catherine M. Champagne, John W. Apolzan, Frank L. Greenway, Michelle I. Cardel, Gary D. Foster, Corby K. Martin Dec 2023

The Personalized Nutrition Study (Points): Evaluation Of A Genetically Informed Weight Loss Approach, A Randomized Clinical Trial, Christoph Höchsmann, Shengping Yang, José M. Ordovás, James L. Dorling, Catherine M. Champagne, John W. Apolzan, Frank L. Greenway, Michelle I. Cardel, Gary D. Foster, Corby K. Martin

Clinical Research Faculty Publications

Weight loss (WL) differences between isocaloric high-carbohydrate and high-fat diets are generally small; however, individual WL varies within diet groups. Genotype patterns may modify diet effects, with carbohydrate-responsive genotypes losing more weight on high-carbohydrate diets (and vice versa for fat-responsive genotypes). We investigated whether 12-week WL (kg, primary outcome) differs between genotype-concordant and genotype-discordant diets. In this 12-week single-center WL trial, 145 participants with overweight/obesity were identified a priori as fat-responders or carbohydrate-responders based on their combined genotypes at ten genetic variants and randomized to a high-fat (n = 73) or high-carbohydrate diet (n = 72), yielding 4 groups: (1) …

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An Aerobic Exercise Intervention To Improve Metabolic Health Among People Living With Hiv With At-Risk Alcohol Use: The Alive-Ex Research Study Protocol, Liz Simon, Stefany D. Primeaux, Danielle E. Levitt, Brianna Bourgeois, Neil M. Johannsen, Adrianna Peters, Jameel Ahmed, Richard H. Marshall, Alexandra H. Fairchild, Tekeda F. Ferguson, Patricia E. Molina Dec 2023

An Aerobic Exercise Intervention To Improve Metabolic Health Among People Living With Hiv With At-Risk Alcohol Use: The Alive-Ex Research Study Protocol, Liz Simon, Stefany D. Primeaux, Danielle E. Levitt, Brianna Bourgeois, Neil M. Johannsen, Adrianna Peters, Jameel Ahmed, Richard H. Marshall, Alexandra H. Fairchild, Tekeda F. Ferguson, Patricia E. Molina

Clinical Research Faculty Publications

Background: Effective antiretroviral therapy (ART) in people living with HIV (PLWH) has improved life expectancy and increased risk of age-associated cardiometabolic comorbidities. At-risk alcohol use is more frequent among PLWH and increases the risk of health challenges. PLWH with at-risk alcohol use are more likely to meet criteria for prediabetes/diabetes and this is associated with impaired whole-body glucose-insulin dynamics. Methods: The Alcohol & Metabolic Comorbidities in PLWH: Evidence Driven Interventions Study (ALIVE-Ex Study, NCT03299205) is a longitudinal, prospective, interventional study to determine the effects of an aerobic exercise protocol on improving dysglycemia among PLWH with at-risk alcohol use. The intervention …

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Amplifying Support For Physical Activity: The National Strategy On Hunger, Nutrition, And Health, Peter T. Katzmarzyk, John M. Jakicic, Russell R. Pate, Katrina L. Piercy, Laurie P. Whitsel Dec 2023

Amplifying Support For Physical Activity: The National Strategy On Hunger, Nutrition, And Health, Peter T. Katzmarzyk, John M. Jakicic, Russell R. Pate, Katrina L. Piercy, Laurie P. Whitsel

Population and Public Health Science Faculty Publications

No abstract provided.

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Genotype-Stratified Treatment For Monogenic Insulin Resistance: A Systematic Review, Robert K. Semple, Kashyap A. Patel, Sungyoung Auh, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram, Rinki Murphy, Viswanathan Mohan, Shivani Misra, James B. Meigs, Nestoras Mathioudakis, Chantal Mathieu, Ronald C.W. Ma, Ruth J.F. Loos, Siew S. Lim, Lori M. Laffel Dec 2023

Genotype-Stratified Treatment For Monogenic Insulin Resistance: A Systematic Review, Robert K. Semple, Kashyap A. Patel, Sungyoung Auh, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram, Rinki Murphy, Viswanathan Mohan, Shivani Misra, James B. Meigs, Nestoras Mathioudakis, Chantal Mathieu, Ronald C.W. Ma, Ruth J.F. Loos, Siew S. Lim, Lori M. Laffel

Clinical Research Faculty Publications

Background: Monogenic insulin resistance (IR) includes lipodystrophy and disorders of insulin signalling. We sought to assess the effects of interventions in monogenic IR, stratified by genetic aetiology. Methods: Systematic review using PubMed, MEDLINE and Embase (1 January 1987 to 23 June 2021). Studies reporting individual-level effects of pharmacologic and/or surgical interventions in monogenic IR were eligible. Individual data were extracted and duplicates were removed. Outcomes were analysed for each gene and intervention, and in aggregate for partial, generalised and all lipodystrophy. Results: 10 non-randomised experimental studies, 8 case series, and 23 case reports meet inclusion criteria, all rated as having …

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Participant Characteristics In The Prevention Of Gestational Diabetes As Evidence For Precision Medicine: A Systematic Review And Meta-Analysis, Siew Lim, Siew Lim, Wubet Worku Takele, Kimberly K. Vesco, Leanne M. Redman, Wesley Hannah, Wesley Hannah, Maxine P. Bonham, Mingling Chen, Sian C. Chivers, Andrea J. Fawcett, Andrea J. Fawcett, Jessica A. Grieger, Nahal Habibi, Gloria K.W. Leung, Kai Liu, Eskedar Getie Mekonnen, Maleesa Pathirana, Alejandra Quinteros, Rachael Taylor, Gebresilasea G. Ukke, Gebresilasea G. Ukke, Shao J. Zhou, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds Dec 2023

Participant Characteristics In The Prevention Of Gestational Diabetes As Evidence For Precision Medicine: A Systematic Review And Meta-Analysis, Siew Lim, Siew Lim, Wubet Worku Takele, Kimberly K. Vesco, Leanne M. Redman, Wesley Hannah, Wesley Hannah, Maxine P. Bonham, Mingling Chen, Sian C. Chivers, Andrea J. Fawcett, Andrea J. Fawcett, Jessica A. Grieger, Nahal Habibi, Gloria K.W. Leung, Kai Liu, Eskedar Getie Mekonnen, Maleesa Pathirana, Alejandra Quinteros, Rachael Taylor, Gebresilasea G. Ukke, Gebresilasea G. Ukke, Shao J. Zhou, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds

Clinical Research Faculty Publications

Background: Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention. Methods: We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022. Results: From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to …

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Precision Subclassification Of Type 2 Diabetes: A Systematic Review, Shivani Misra, Shivani Misra, Robert Wagner, Bige Ozkan, Martin Schön, Magdalena Sevilla-Gonzalez, Katsiaryna Prystupa, Caroline C. Wang, Raymond J. Kreienkamp, Sara J. Cromer, Mary R. Rooney, Daisy Duan, Anne Cathrine Baun Thuesen, Amelia S. Wallace, Aaron Leong, Aaron J. Deutsch, Mette K. Andersen, Liana K. Billings, Liana K. Billings, Robert H. Eckel, Wayne Huey Herng Sheu, Torben Hansen, Norbert Stefan, Mark O. Goodarzi, Debashree Ray, Elizabeth Selvin, Jose C. Florez, Paul W. Franks, Stephen S. Rich, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting Dec 2023

Precision Subclassification Of Type 2 Diabetes: A Systematic Review, Shivani Misra, Shivani Misra, Robert Wagner, Bige Ozkan, Martin Schön, Magdalena Sevilla-Gonzalez, Katsiaryna Prystupa, Caroline C. Wang, Raymond J. Kreienkamp, Sara J. Cromer, Mary R. Rooney, Daisy Duan, Anne Cathrine Baun Thuesen, Amelia S. Wallace, Aaron Leong, Aaron J. Deutsch, Mette K. Andersen, Liana K. Billings, Liana K. Billings, Robert H. Eckel, Wayne Huey Herng Sheu, Torben Hansen, Norbert Stefan, Mark O. Goodarzi, Debashree Ray, Elizabeth Selvin, Jose C. Florez, Paul W. Franks, Stephen S. Rich, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting

Clinical Research Faculty Publications

Background: Heterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients. Methods: We searched PubMed and Embase for publications that used ‘simple subclassification’ approaches using simple categorisation of clinical characteristics, or ‘complex subclassification’ approaches which used machine learning or ‘omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical …

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Precision Gestational Diabetes Treatment: A Systematic Review And Meta-Analyses, Jamie L. Benham, Véronique Gingras, Niamh Maire Mclennan, Jasper Most, Jennifer M. Yamamoto, Catherine E. Aiken, Susan E. Ozanne, Susan E. Ozanne, Rebecca M. Reynolds, Rebecca M. Reynolds, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Katharine R. Owen, Richard Oram, Rinki Murphy, Viswanathan Mohan, Shivani Misra, James B. Meigs Dec 2023

Precision Gestational Diabetes Treatment: A Systematic Review And Meta-Analyses, Jamie L. Benham, Véronique Gingras, Niamh Maire Mclennan, Jasper Most, Jennifer M. Yamamoto, Catherine E. Aiken, Susan E. Ozanne, Susan E. Ozanne, Rebecca M. Reynolds, Rebecca M. Reynolds, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Katharine R. Owen, Richard Oram, Rinki Murphy, Viswanathan Mohan, Shivani Misra, James B. Meigs

Clinical Research Faculty Publications

Background: Gestational Diabetes Mellitus (GDM) affects approximately 1 in 7 pregnancies globally. It is associated with short- and long-term risks for both mother and baby. Therefore, optimizing treatment to effectively treat the condition has wide-ranging beneficial effects. However, despite the known heterogeneity in GDM, treatment guidelines and approaches are generally standardized. We hypothesized that a precision medicine approach could be a tool for risk-stratification of women to streamline successful GDM management. With the relatively short timeframe available to treat GDM, commencing effective therapy earlier, with more rapid normalization of hyperglycaemia, could have benefits for both mother and fetus. Methods: We …

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Impact Of Individual And Environmental Factors On Dietary Or Lifestyle Interventions To Prevent Type 2 Diabetes Development: A Systematic Review, Dhanasekaran Bodhini, Robert W. Morton, Vanessa Santhakumar, Mariam Nakabuye, Hugo Pomares-Millan, Hugo Pomares-Millan, Christoffer Clemmensen, Stephanie L. Fitzpatrick, Marta Guasch-Ferre, James S. Pankow, Mathias Ried-Larsen, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram, Rinki Murphy Dec 2023

Impact Of Individual And Environmental Factors On Dietary Or Lifestyle Interventions To Prevent Type 2 Diabetes Development: A Systematic Review, Dhanasekaran Bodhini, Robert W. Morton, Vanessa Santhakumar, Mariam Nakabuye, Hugo Pomares-Millan, Hugo Pomares-Millan, Christoffer Clemmensen, Stephanie L. Fitzpatrick, Marta Guasch-Ferre, James S. Pankow, Mathias Ried-Larsen, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram, Rinki Murphy

Clinical Research Faculty Publications

Background: The variability in the effectiveness of type 2 diabetes (T2D) preventive interventions highlights the potential to identify the factors that determine treatment responses and those that would benefit the most from a given intervention. We conducted a systematic review to synthesize the evidence to support whether sociodemographic, clinical, behavioral, and molecular factors modify the efficacy of dietary or lifestyle interventions to prevent T2D. Methods: We searched MEDLINE, Embase, and Cochrane databases for studies reporting on the effect of a lifestyle, dietary pattern, or dietary supplement interventions on the incidence of T2D and reporting the results stratified by any effect …

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The Use Of Precision Diagnostics For Monogenic Diabetes: A Systematic Review And Expert Opinion, Rinki Murphy, Rinki Murphy, Kevin Colclough, Toni I. Pollin, Jennifer M. Ikle, Pernille Svalastoga, Kristin A. Maloney, Kristin A. Maloney, Cécile Saint-Martin, Janne Molnes, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram, Viswanathan Mohan, Shivani Misra, James B. Meigs Dec 2023

The Use Of Precision Diagnostics For Monogenic Diabetes: A Systematic Review And Expert Opinion, Rinki Murphy, Rinki Murphy, Kevin Colclough, Toni I. Pollin, Jennifer M. Ikle, Pernille Svalastoga, Kristin A. Maloney, Kristin A. Maloney, Cécile Saint-Martin, Janne Molnes, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Wei Perng, Ewan R. Pearson, Susan E. Ozanne, Katharine R. Owen, Richard Oram, Viswanathan Mohan, Shivani Misra, James B. Meigs

Clinical Research Faculty Publications

Background: Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field. Methods: Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete …

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Treatment Effect Heterogeneity Following Type 2 Diabetes Treatment With Glp1-Receptor Agonists And Sglt2-Inhibitors: A Systematic Review, Katherine G. Young, Eram Haider Mcinnes, Robert J. Massey, Anna R. Kahkoska, Scott J. Pilla, Sridharan Raghavan, Maggie A. Stanislawski, Deirdre K. Tobias, Andrew P. Mcgovern, Andrew P. Mcgovern, Adem Y. Dawed, Angus G. Jones, Ewan R. Pearson, Ewan R. Pearson, John M. Dennis, John M. Dennis, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng Dec 2023

Treatment Effect Heterogeneity Following Type 2 Diabetes Treatment With Glp1-Receptor Agonists And Sglt2-Inhibitors: A Systematic Review, Katherine G. Young, Eram Haider Mcinnes, Robert J. Massey, Anna R. Kahkoska, Scott J. Pilla, Sridharan Raghavan, Maggie A. Stanislawski, Deirdre K. Tobias, Andrew P. Mcgovern, Andrew P. Mcgovern, Adem Y. Dawed, Angus G. Jones, Ewan R. Pearson, Ewan R. Pearson, John M. Dennis, John M. Dennis, Paul W. Franks, Stephen S. Rich, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Emily K. Sims, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Maria J. Redondo, Leanne M. Redman, Richard E. Pratley, Rodica Pop-Busui, Toni I. Pollin, Wei Perng

Clinical Research Faculty Publications

Background: A precision medicine approach in type 2 diabetes requires the identification of clinical and biological features that are reproducibly associated with differences in clinical outcomes with specific anti-hyperglycaemic therapies. Robust evidence of such treatment effect heterogeneity could support more individualized clinical decisions on optimal type 2 diabetes therapy. Methods: We performed a pre-registered systematic review of meta-analysis studies, randomized control trials, and observational studies evaluating clinical and biological features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies, considering glycaemic, cardiovascular, and renal outcomes. After screening 5,686 studies, we included 101 studies of SGLT2-inhibitors and 75 studies …

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Disease-Modifying Therapies And Features Linked To Treatment Response In Type 1 Diabetes Prevention: A Systematic Review, Jamie L. Felton, Kurt J. Griffin, Kurt J. Griffin, Richard A. Oram, Richard A. Oram, Cate Speake, S. Alice Long, Suna Onengut-Gumuscu, Stephen S. Rich, Stephen S. Rich, Gabriela S.F. Monaco, Carmella Evans-Molina, Linda A. Dimeglio, Heba M. Ismail, Andrea K. Steck, Dana Dabelea, Randi K. Johnson, Marzhan Urazbayeva, Stephen Gitelman, John M. Wentworth, Maria J. Redondo, Emily K. Sims, Emily K. Sims, Paul W. Franks, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Leanne M. Redman Dec 2023

Disease-Modifying Therapies And Features Linked To Treatment Response In Type 1 Diabetes Prevention: A Systematic Review, Jamie L. Felton, Kurt J. Griffin, Kurt J. Griffin, Richard A. Oram, Richard A. Oram, Cate Speake, S. Alice Long, Suna Onengut-Gumuscu, Stephen S. Rich, Stephen S. Rich, Gabriela S.F. Monaco, Carmella Evans-Molina, Linda A. Dimeglio, Heba M. Ismail, Andrea K. Steck, Dana Dabelea, Randi K. Johnson, Marzhan Urazbayeva, Stephen Gitelman, John M. Wentworth, Maria J. Redondo, Emily K. Sims, Emily K. Sims, Paul W. Franks, Robert Wagner, Tina Vilsbøll, Kimberly K. Vesco, Miriam S. Udler, Tiinamaija Tuomi, Arianne Sweeting, Jennifer L. Sherr, Robert K. Semple, Rebecca M. Reynolds, Leanne M. Redman

Clinical Research Faculty Publications

Background: Type 1 diabetes (T1D) results from immune-mediated destruction of insulin-producing beta cells. Prevention efforts have focused on immune modulation and supporting beta cell health before or around diagnosis; however, heterogeneity in disease progression and therapy response has limited translation to clinical practice, highlighting the need for precision medicine approaches to T1D disease modification. Methods: To understand the state of knowledge in this area, we performed a systematic review of randomized-controlled trials with ≥50 participants cataloged in PubMed or Embase from the past 25 years testing T1D disease-modifying therapies and/or identifying features linked to treatment response, analyzing bias using a …

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Deep Learning-Based Polygenic Risk Analysis For Alzheimer’S Disease Prediction, Xiaopu Zhou, Yu Chen, Fanny C.F. Ip, Yuanbing Jiang, Han Cao, Ge Lv, Huan Zhong, Jiahang Chen, Tao Ye, Yuewen Chen, Yulin Zhang, Shuangshuang Ma, Ronnie M.N. Lo, Estella P.S. Tong, Ansgar J. Furst, Joy L. Taylor, Jerome A. Yesavage, Gail Li, Eric C. Petrie, Elaine R. Peskind, Sandra Harding, J. Jay Fruehling, Dino Massoglia, Olga James, Konstantinos Arfanakis, Debra Fleischman, Karl Friedl, Shannon Finley, Jacqueline Hayes, Rosemary Morrison, Melissa Davis, Jordan Grafman, Thomas Neylan, Balebail Ashok Raj Dec 2023

Deep Learning-Based Polygenic Risk Analysis For Alzheimer’S Disease Prediction, Xiaopu Zhou, Yu Chen, Fanny C.F. Ip, Yuanbing Jiang, Han Cao, Ge Lv, Huan Zhong, Jiahang Chen, Tao Ye, Yuewen Chen, Yulin Zhang, Shuangshuang Ma, Ronnie M.N. Lo, Estella P.S. Tong, Ansgar J. Furst, Joy L. Taylor, Jerome A. Yesavage, Gail Li, Eric C. Petrie, Elaine R. Peskind, Sandra Harding, J. Jay Fruehling, Dino Massoglia, Olga James, Konstantinos Arfanakis, Debra Fleischman, Karl Friedl, Shannon Finley, Jacqueline Hayes, Rosemary Morrison, Melissa Davis, Jordan Grafman, Thomas Neylan, Balebail Ashok Raj

Clinical Research Faculty Publications

Background: The polygenic nature of Alzheimer’s disease (AD) suggests that multiple variants jointly contribute to disease susceptibility. As an individual’s genetic variants are constant throughout life, evaluating the combined effects of multiple disease-associated genetic risks enables reliable AD risk prediction. Because of the complexity of genomic data, current statistical analyses cannot comprehensively capture the polygenic risk of AD, resulting in unsatisfactory disease risk prediction. However, deep learning methods, which capture nonlinearity within high-dimensional genomic data, may enable more accurate disease risk prediction and improve our understanding of AD etiology. Accordingly, we developed deep learning neural network models for modeling AD …

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Global Dataset Of Soil Organic Carbon In Tidal Marshes, Tania L. Maxwell, André S. Rovai, Maria Fernanda Adame, Janine B. Adams, José Álvarez-Rogel, William E.N. Austin, Kim Beasy, Francesco Boscutti, Michael E. Böttcher, Tjeerd J. Bouma, Richard H. Bulmer, Annette Burden, Shannon A. Burke, Saritta Camacho, Doongar R. Chaudhary, Gail L. Chmura, Margareth Copertino, Grace M. Cott, Christopher Craft, John Day, Carmen B. De Los Santos, Lionel Denis, Weixin Ding, Joanna C. Ellison, Carolyn J. Ewers Lewis, Luise Giani, Maria Gispert, Swanne Gontharet, José A. González-Pérez, M. Nazaret González-Alcaraz, Connor Gorham, Anna Elizabeth L. Graversen, Anthony Grey Dec 2023

Global Dataset Of Soil Organic Carbon In Tidal Marshes, Tania L. Maxwell, André S. Rovai, Maria Fernanda Adame, Janine B. Adams, José Álvarez-Rogel, William E.N. Austin, Kim Beasy, Francesco Boscutti, Michael E. Böttcher, Tjeerd J. Bouma, Richard H. Bulmer, Annette Burden, Shannon A. Burke, Saritta Camacho, Doongar R. Chaudhary, Gail L. Chmura, Margareth Copertino, Grace M. Cott, Christopher Craft, John Day, Carmen B. De Los Santos, Lionel Denis, Weixin Ding, Joanna C. Ellison, Carolyn J. Ewers Lewis, Luise Giani, Maria Gispert, Swanne Gontharet, José A. González-Pérez, M. Nazaret González-Alcaraz, Connor Gorham, Anna Elizabeth L. Graversen, Anthony Grey

Faculty Publications

Tidal marshes store large amounts of organic carbon in their soils. Field data quantifying soil organic carbon (SOC) stocks provide an important resource for researchers, natural resource managers, and policy-makers working towards the protection, restoration, and valuation of these ecosystems. We collated a global dataset of tidal marsh soil organic carbon (MarSOC) from 99 studies that includes location, soil depth, site name, dry bulk density, SOC, and/or soil organic matter (SOM). The MarSOC dataset includes 17,454 data points from 2,329 unique locations, and 29 countries. We generated a general transfer function for the conversion of SOM to SOC. Using this …

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Deep Learning For Enhanced Free-Space Optical Communications, M. P. Bart, N. J. Savino, P. Regmi, L. Cohen, H. Safavi, H. C. Shaw, S. Lohani, T. A. Searles, B. T. Kirby, H. Lee, R. T. Glasser Dec 2023

Deep Learning For Enhanced Free-Space Optical Communications, M. P. Bart, N. J. Savino, P. Regmi, L. Cohen, H. Safavi, H. C. Shaw, S. Lohani, T. A. Searles, B. T. Kirby, H. Lee, R. T. Glasser

Faculty Publications

Atmospheric effects, such as turbulence and background thermal noise, inhibit the propagation of light used in ON-OFF keying (OOK) free-space optical (FSO) communication. Here we present and experimentally validate a convolutional neural network (CNN) to reduce the bit error rate of FSO communication in post-processing that is significantly simpler and cheaper than existing solutions based on advanced optics. Our approach consists of two neural networks, the first determining the presence of bit sequences in thermal noise and turbulence and the second demodulating the bit sequences. All data used for training and testing our network is obtained experimentally by generating OOK …

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Mid-Miocene Sea Level Altitude Of The Qaidam Basin, Northern Tibetan Plateau, Yuanyuan Sun, Yu Liang, Hu Liu, Jun Liu, Junliang Ji, Xue Ke, Xiaobo Liu, Yuxin He, Huanye Wang, Bin Zhang, Yongsu Zhang, Guangsheng Zhuang, Junling Pei, Yongxiang Li, Cheng Quan, Jianxing Li, Jonathan C. Aitchison, Weiguo Liu, Zhonghui Liu Dec 2023

Mid-Miocene Sea Level Altitude Of The Qaidam Basin, Northern Tibetan Plateau, Yuanyuan Sun, Yu Liang, Hu Liu, Jun Liu, Junliang Ji, Xue Ke, Xiaobo Liu, Yuxin He, Huanye Wang, Bin Zhang, Yongsu Zhang, Guangsheng Zhuang, Junling Pei, Yongxiang Li, Cheng Quan, Jianxing Li, Jonathan C. Aitchison, Weiguo Liu, Zhonghui Liu

Faculty Publications

A detailed uplift history of the Tibetan Plateau is essential for disentangling the proposed geodynamical models and assessing its impacts on climate and biodiversity. However, when and how the plateau formed remains highly controversial. Here, we present unusual geochemical indicators of marine signatures in the Cenozoic terrestrial strata of the Qaidam Basin, northern Tibetan Plateau, with strong implications for the basin altitude. Our investigations across the basin reveal typical marine alkenones and anomalously high carbonate carbon isotopic values during the mid-Miocene, but not at earlier stages, which are accompanied by a divergent trend in the paired carbonate oxygen and leaf …

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Digital Archives: How Western Newspapers Frame Our Remembrance Of The Gezi Park Protest, Nihar Sreepada, Ahmet Aksoy Dec 2023

Digital Archives: How Western Newspapers Frame Our Remembrance Of The Gezi Park Protest, Nihar Sreepada, Ahmet Aksoy

Faculty Publications

We analyze the coverage of the Gezi Park protests by two major Western newspapers - The New York Times and The Guardian - through the lens of media framing, rhetoric, and collective memory. We argue that these digital archives frame Turkey's Gezi Park protests as a challenge to an authoritarian government by promoting the themes of unrest as a conflict of ideologies, oppression of citizens, and the park as a site of memory. In a concluding section, we focus on the significance of digital archives as repositories of collective memory and the role of media framing in shaping these reconstructions …

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Examining Consumers’ Perceptions Of And Attitudes Toward Digital Fashion In General And Purchase Intention Of Luxury Brands’ Digital Fashion Specifically, Yanbo Zhang, Chuanlan Liu, Yanru Lyu Dec 2023

Examining Consumers’ Perceptions Of And Attitudes Toward Digital Fashion In General And Purchase Intention Of Luxury Brands’ Digital Fashion Specifically, Yanbo Zhang, Chuanlan Liu, Yanru Lyu

Faculty Publications

Digital fashion may instill transformative power into the fashion industry as it can simultaneously deliver fashionability and sustainability. Renowned for their innovativeness and creativity, luxury brands embrace digital fashion and achieve market success, indicating the future of digital fashion. This research aims to empirically investigate consumers’ general perceptions and evaluations of digital fashion and to specifically examine consumers’ purchase intention of luxury brands’ digital fashion. A total of 214 responses were collected from a U.S.-based research company’s consumer panel. Data were analyzed by using structural equation modeling (SEM). The results revealed that the general attitude toward digital fashion is influenced …

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Morphodynamic Modeling Of Fourleague Bay In Mississippi River Delta: Sediment Fluxes Across River-Estuary-Wetland Boundaries, Nan Wang, Qin Chen, Kelin Hu, Kehui Xu, Samuel J. Bentley, Jiaze Wang Dec 2023

Morphodynamic Modeling Of Fourleague Bay In Mississippi River Delta: Sediment Fluxes Across River-Estuary-Wetland Boundaries, Nan Wang, Qin Chen, Kelin Hu, Kehui Xu, Samuel J. Bentley, Jiaze Wang

Faculty Publications

To mitigate land losses in the Mississippi River Delta, sediment diversions are being employed to enable the flow of river water and sediments into wetlands experiencing degradation. A two-dimensional coupled flow-wave Delft3D model was used in this study to explore the hydrodynamics and sediment transport in Fourleague Bay (FLB), Louisiana, USA, which has been considered an analog site for studying the efficiency of sediment diversion projects. In-situ measurements of sediment accretion and hydrodynamic characteristics from 2015 to 2016 were utilized to calibrate and validate the morphodynamic model. The validated model was then applied to quantify sediment transport in FLB and …

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