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Biomarkers In Cancer Detection, Diagnosis, And Prognosis, Sreyashi Das, Mohan Kumar Dey, Ram Devireddy, Manas Ranjan Gartia Jan 2024

Biomarkers In Cancer Detection, Diagnosis, And Prognosis, Sreyashi Das, Mohan Kumar Dey, Ram Devireddy, Manas Ranjan Gartia

Faculty Publications

Biomarkers are vital in healthcare as they provide valuable insights into disease diagnosis, prognosis, treatment response, and personalized medicine. They serve as objective indicators, enabling early detection and intervention, leading to improved patient outcomes and reduced costs. Biomarkers also guide treatment decisions by predicting disease outcomes and facilitating individualized treatment plans. They play a role in monitoring disease progression, adjusting treatments, and detecting early signs of recurrence. Furthermore, biomarkers enhance drug development and clinical trials by identifying suitable patients and accelerating the approval process. In this review paper, we described a variety of biomarkers applicable for cancer detection and diagnosis, …

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Solving Short-Term Relocalization Problems In Monocular Keyframe Visual Slam Using Spatial And Semantic Data, Azmyin Md Kamal, Nenyi Kweku Nkensen Dadson, Donovan Gegg, Corina Barbalata Jan 2024

Solving Short-Term Relocalization Problems In Monocular Keyframe Visual Slam Using Spatial And Semantic Data, Azmyin Md Kamal, Nenyi Kweku Nkensen Dadson, Donovan Gegg, Corina Barbalata

Faculty Publications

In Monocular Keyframe Visual Simultaneous Localization and Mapping (MKVSLAM) frameworks, when incremental position tracking fails, global pose has to be recovered in a short-time window, also known as short-term relocalization. This capability is crucial for mobile robots to have reliable navigation, build accurate maps, and have precise behaviors around human collaborators. This paper focuses on the development of robust short-term relocalization capabilities for mobile robots using a monocular camera system. A novel multimodal keyframe descriptor is introduced, that contains semantic information of objects detected in the environment and the spatial information of the camera. Using this descriptor, a new Keyframe-based …

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Water Wave Optimization Algorithm-Based Dynamic Optimal Dispatch Considering A Day-Ahead Load Forecasting In A Microgrid, Duy C. Huynh, Loc D. Ho, Hieu M. Pham, Matthew W. Dunnigan, Corina Barbalata Jan 2024

Water Wave Optimization Algorithm-Based Dynamic Optimal Dispatch Considering A Day-Ahead Load Forecasting In A Microgrid, Duy C. Huynh, Loc D. Ho, Hieu M. Pham, Matthew W. Dunnigan, Corina Barbalata

Faculty Publications

A novel strategy is proposed to tackle an optimal dispatch of a microgrid in response to dynamic conditions, utilizing a water wave optimization (WWO) algorithm and considering a day-ahead load forecasting. Amongst meta-heuristic algorithms, the WWO algorithm stands out in terms of population size, parameter tuning, exploitation and exploration, convergence speed, as well as optimization mechanism. It leverages its ability to efficiently explore solution spaces and adapt to changing conditions. It is applied to the dynamic optimal dispatch of a microgrid with the uncertainty of load power considered and solved by day-ahead load forecasting. It dynamically adjusts the microgrid operation …

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Conning The Crypto Conman: End-To-End Analysis Of Cryptocurrency-Based Technical Support Scams, Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz Jan 2024

Conning The Crypto Conman: End-To-End Analysis Of Cryptocurrency-Based Technical Support Scams, Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz

Faculty Publications

The mainstream adoption of cryptocurrencies has led to a surge in wallet-related issues reported by ordinary users on social media platforms. In parallel, there is an increase in an emerging fraud trend called cryptocurrency-based technical support scam, in which fraudsters offer fake wallet recovery services and target users experiencing wallet-related issues.In this paper, we perform a comprehensive study of cryptocurrency-based technical support scams. We present an analysis apparatus called HoneyTweet to analyze this kind of scam. Through HoneyTweet, we lure over 9K scammers by posting 25K fake wallet support tweets (so-called honey tweets). We then deploy automated systems to interact …

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Machine Learning For Automated Sand Transport Monitoring In A Pipeline Using Distributed Acoustic Sensor Data, Harrison Gietz, Jyotsna Sharma, Mayank Tyagi Jan 2024

Machine Learning For Automated Sand Transport Monitoring In A Pipeline Using Distributed Acoustic Sensor Data, Harrison Gietz, Jyotsna Sharma, Mayank Tyagi

Faculty Publications

Uncontrolled sand production presents a substantial challenge to wellbore and pipeline integrity and efficiency of hydrocarbon production operations, often leading to equipment damage and compromised productivity. Traditional sand detection methods on the surface alert operators to sanding issues, but they are often a lagging indicator of downhole sanding events and do not provide precise identification of the problematic reservoir zones. Addressing this limitation, this study harnesses a combination of efficient signal processing and machine learning (ML) to analyze data from optical-fiber-based distributed acoustic sensors (DASs), thus serving as the first instance (to the authors' knowledge) of an automated and real-time …

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Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak Jan 2024

Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak

Publications

This work analyzed the pedestrian safety and overall traffic safety impacts – in terms of both motor vehicle speeds and crash outcomes – of several countermeasures applied to the Central Avenue arterial corridor in Albuquerque, New Mexico. Findings suggest that the infrastructure changes associated with a bus rapid transit (BRT) system improved traffic safety by reducing vehicle 85th percentile speeds by 11.5% and reducing serious and fatal injuries by 60.0%. While pedestrian safety outcomes were more variable, pedestrians generally fared better on BRT segments than on control segments. The mechanism behind these improvements was traffic calming through the BRT’s …

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Economic, Environmental, And Social Characteristics Of E-Scooters On Lsu Campus, Mostafa Elseifi, Md Afif Rahman Chowdhury Jan 2024

Economic, Environmental, And Social Characteristics Of E-Scooters On Lsu Campus, Mostafa Elseifi, Md Afif Rahman Chowdhury

Publications

This study provides a comprehensive evaluation of e-scooter technology, with a focus on its environmental, economic, and social impacts, particularly within university settings at the Louisiana State University (LSU) campus. A life-cycle assessment (LCA) was conducted to assess the environmental sustainability of e-scooters, encompassing all stages from raw materials acquisition to end-of-life. The analysis determined that the total CO2 emissions for an e-scooter over a five-year lifespan were approximately 389 kg, with significant reductions possible by improving the lifespan of e-scooters, integrating recycled materials, and utilizing renewable energy sources for charging batteries. The study also compared the environmental and …

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Vehicle Classification Technologies For Toll Collection, Samir Ahmed Jan 2024

Vehicle Classification Technologies For Toll Collection, Samir Ahmed

Publications

Toll facilities (roads, bridges, and tunnels) are intended for revenue generation to pay off the long-term debt issued to finance construction, capacity expansion, operations, and maintenance of these facilities. Tolls are one form of a broad concept known as road pricing. In addition to revenue generation, road pricing is used for other reasons including transportation demand management to reduce peak hour travel and the recurring traffic congestion on some corridors. The aim of this study is to provide the tolling industry with detailed analysis of the suitability of various non‐ pavement‐intrusive vehicle classification technologies (imaging using radar, Lidar, thermal profiling, …

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Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data, Anand Puppala, Nripojyoti Biswas, Amit Gajurel Jan 2024

Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data, Anand Puppala, Nripojyoti Biswas, Amit Gajurel

Publications

This research harnessed both high and medium resolution Synthetic Aperture Radar (SAR) data to delve into infrastructure health assessment. High resolution SAR analyses capable of identifying differences between asphalt and concrete pavement surfaces. Particularly, it was found that Normalized Radar Cross Section (NRCS) values can deftly distinguish pavement types and detect surface anomalies such as alligator cracks in asphalt ahead of conventional methods. On the other hand, Time-Series Interferometric Synthetic Aperture Radar (InSAR) insights, extracted from medium resolution SAR, established a direct linkage between environmental factors and ground deformations. Such findings were corroborated by optical images collected during May 2017 …

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Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky Jan 2024

Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky

Publications

The research aims to provide insight into the initiation event of Wrong-way Driving (WWD) on highways. The intense severity of a WWD accident is encouraging the authorities to install mitigation systems that will ensure safety for motorists on highways. The WWD events are mostly resulting of intoxicated driving, where the unconscious driver takes the wrong way to enter the highway and place other motorists into life-threatening danger. This research attempted to explore from basic knowledge of WWD occurrence to examine the origin and driving philosophy of intoxicated drivers from land-use impact and mathematical modeling point of views. To identify the …

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Automated Vehicle Impacts On Underserved Populations, Kate Kyung Hyun, Stephen Mattingly, Katie Kam Jan 2024

Automated Vehicle Impacts On Underserved Populations, Kate Kyung Hyun, Stephen Mattingly, Katie Kam

Publications

This research report describes the scenario framework created to determine the potential role automated vehicles (AVs) have in benefiting and adversely impacting the following underserved populations: people with disabilities and impairments (visually, hearing, physically, intellectually) and with autism spectrum disorder, younger and older populations, immigrants, low income, indigenous, rural, female and LGBTQ+, vulnerable road users (cyclists, pedestrians, low speed riders and drivers), and minority races. After presenting a literature review, three chapters explain the 3 modules of the framework: (1) scenario construction, (2) scenario factors, and (3) GIS methodology for evaluating community level AV impacts. Module 1 describes the use …

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Monotonic And Cyclic Behavior Of High Strength Reinforcing Steel (Hsrs) After High Temperature Exposure, Himan Hojat Jalali, Moein Ebrahimi, Khaled Abuhishmeh, Mohammadamin Soltanianfard Jan 2024

Monotonic And Cyclic Behavior Of High Strength Reinforcing Steel (Hsrs) After High Temperature Exposure, Himan Hojat Jalali, Moein Ebrahimi, Khaled Abuhishmeh, Mohammadamin Soltanianfard

Publications

Conventional reinforced concrete transportation structures in North America often use Grade 40 ksi-60 ksi reinforcing steel. The introduction of high strength reinforcing steel (HSRS) with higher yield strength in the reinforced concrete industry has led to many economic and workability advantages such as construction time saving, reduced labor cost and steel consumption which in turn alleviates congestion of reinforcement, savings in transportation and deliveries that finally results in lower carbon emission. Despite these benefits, many states, including those in Region 6, have not widely adopted the use of higher strength reinforcing steels in practice due to lack of knowledge and …

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Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky Jan 2024

Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky

Publications

An application specific multi-platform smartphone application can utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. Several observations were made with regard to the signals obtained from the accelerometer, gyroscope, and GPS sensors, and it was determined that the raw sensor outputs are capable of sampling statistically significant datasets which can be used to distinguish pavement distress from normal driving conditions. Furthermore, an approximate sensor noise margin is established, and a …

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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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Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky Jan 2024

Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky

Publications

The Fatality Analysis Reporting System database shows that, in stark contrast to the 34 percent decline in non-motorcyclist crash–related fatalities, motorcyclist crash–related fatalities were up 86 percent with only three year-to-year declines since 1997, while non-motorcyclist crash–related fatalities had 13 year-to-year declines since 1997. At the national level, the rate of motorcyclist fatalities per vehicle mile traveled is 29 times higher than the rate among passenger car occupants, with overall injury rates approximately five times higher among motorcyclists than passenger car occupants. Given the frequency of motorcycle crashes and their staggering toll in terms of loss of life and economic …

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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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Early-Age Strength Monitoring Of Sensor-Embedded 3d Printed Structures, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Kasra Banijamali Jan 2024

Early-Age Strength Monitoring Of Sensor-Embedded 3d Printed Structures, Ali Kazemian, Marwa Hassan, Hassan Noorvand, Gabriel Arce, Kasra Banijamali

Publications

Construction 3D printing (C3DP) is an automated technology that has the potential to reduce the construction time and cost by utilizing different types of robotic systems. Due to the absence of formwork in C3DP, potential excessive water evaporation can cause issues to the freshly-printed structures that are exposed to the ambient curing condition. Moreover, the 3D printed elements should carry the service loads in a short time after printing to provide a load-bearing capacity. Destructive and non-destructive methods are the two types of methods that are being used in the construction industry for quality monitoring. Due to the time-consuming nature …

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Miocene Climatic Optimum Fungal Record And Plant-Based Crest Climatic Reconstruction From Southern Mcmurdo Sound, Antarctica, Mallory Pilie, Martha E. Gibson, Ingrid C. Romero, Noelia B.Nuñez Otaño, Matthew J. Pound, Jennifer M.K. O'Keefe, Sophie Warny Dec 2023

Miocene Climatic Optimum Fungal Record And Plant-Based Crest Climatic Reconstruction From Southern Mcmurdo Sound, Antarctica, Mallory Pilie, Martha E. Gibson, Ingrid C. Romero, Noelia B.Nuñez Otaño, Matthew J. Pound, Jennifer M.K. O'Keefe, Sophie Warny

Faculty Publications

Deep-time palynological studies are necessary to evaluate plant and fungal distribution under warmer-than-present scenarios such as those of the Middle Miocene. Previous palynological studies from southern McMurdo Sound, Antarctica (SMS), have provided unique documentation for Neogene environments in the Ross Sea region during a time of pronounced global warming. The present study builds on these studies and provides a new climate reconstruction using the previously published SMS pollen and plant spore data. Additionally, 44 SMS samples were reanalyzed with a focus on the fungal fraction of the section to evaluate the fungal distribution under warmer than present conditions. The probability-based …

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Mixed Method Study On Community College Instruction In Blended Social Science Courses, Andrea L. B. Eggenberger Dec 2023

Mixed Method Study On Community College Instruction In Blended Social Science Courses, Andrea L. B. Eggenberger

LSU Doctoral Dissertations

Community colleges have teaching faculty whose primary focus is educating their students and providing service to their institution. Community college teaching research has focused on innovation, students’ expectations, and the use of active learning techniques to foster student success. Research on blended courses has focused on instructional practices, learner engagement, and the benefits of blended learning for the community college student population. This study explores the relationship between student’s perceptions of the work in a blended developmental psychology course at two community colleges in Louisiana and their professors’ instructional decisions for their blended courses. The multiple-case study uses a convergent …

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A 30-Year Dataset Of Co2 In Flowing Freshwaters In The United States, Timothy R. Toavs, Caleb T. Hasler, Cory D. Suski, Stephen R. Midway Dec 2023

A 30-Year Dataset Of Co2 In Flowing Freshwaters In The United States, Timothy R. Toavs, Caleb T. Hasler, Cory D. Suski, Stephen R. Midway

Faculty Publications

Increasing atmospheric carbon dioxide (CO2) concentrations have been linked to effects in a wide range of ecosystems and organisms, with negative effects of elevated CO2 documented for marine organisms. Less is known about the dynamics of CO2 in freshwaters, but the potential exists for freshwater organisms to be challenged by elevated CO2. In flowing freshwaters CO2 exhibits more variability than in lakes or the ocean, yet spatiotemporally extensive direct measures of CO2 in freshwater are rare. However, CO2 can be estimated from pH, temperature, and alkalinity—commonly collected water quality metrics. We used data from the National Water Quality Monitoring Council …

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Creelcat, A Catalog Of United States Inland Creel And Angler Survey Data, Nicholas A. Sievert, Abigail J. Lynch, Holly S. Embke, Ashley Robertson, Mitchel Lang, Anna L. Kaz, Matthew D. Robertson, Stephen R. Midway, Lyndsie Wszola, Craig P. Paukert Dec 2023

Creelcat, A Catalog Of United States Inland Creel And Angler Survey Data, Nicholas A. Sievert, Abigail J. Lynch, Holly S. Embke, Ashley Robertson, Mitchel Lang, Anna L. Kaz, Matthew D. Robertson, Stephen R. Midway, Lyndsie Wszola, Craig P. Paukert

Faculty Publications

The United States Inland Creel and Angler Survey Catalog (CreelCat) contains a national compilation of angler and creel survey data collected by natural resource management agencies across the United States (including Washington, D.C. and Puerto Rico). These surveys are used to help inform the management of recreational fisheries, by collecting information about anglers including what they are catching and harvesting, the amount of effort they expend, their angling preferences, and demographic information. As of May 1, 2023, CreelCat houses over 14,729 surveys from 33 states, Puerto Rico, and Washington, D.C., comprising 235 data fields across 8 tables. These tables contain …

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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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Soil Legacy Nutrients Contribute To The Decreasing Stoichiometric Ratio Of N And P Loading From The Mississippi River Basin, Zihao Bian, Hanqin Tian, Shufen Pan, Hao Shi, Chaoqun Lu, Christopher Anderson, Wei Jun Cai, Charles S. Hopkinson, Dubravko Justic, Latif Kalin, Steven Lohrenz, Steven Mcnulty, Naiqing Pan, Ge Sun, Zhuonan Wang, Yuanzhi Yao, Yongfa You Dec 2023

Soil Legacy Nutrients Contribute To The Decreasing Stoichiometric Ratio Of N And P Loading From The Mississippi River Basin, Zihao Bian, Hanqin Tian, Shufen Pan, Hao Shi, Chaoqun Lu, Christopher Anderson, Wei Jun Cai, Charles S. Hopkinson, Dubravko Justic, Latif Kalin, Steven Lohrenz, Steven Mcnulty, Naiqing Pan, Ge Sun, Zhuonan Wang, Yuanzhi Yao, Yongfa You

Faculty Publications

Human-induced nitrogen–phosphorus (N, P) imbalance in terrestrial ecosystems can lead to disproportionate N and P loading to aquatic ecosystems, subsequently shifting the elemental ratio in estuaries and coastal oceans and impacting both the structure and functioning of aquatic ecosystems. The N:P ratio of nutrient loading to the Gulf of Mexico from the Mississippi River Basin increased before the late 1980s driven by the enhanced usage of N fertilizer over P fertilizer, whereafter the N:P loading ratio started to decrease although the N:P ratio of fertilizer application did not exhibit a similar trend. Here, we hypothesize that different release rates of …

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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 Scalable, Virtual Weight Management Program Tailored For Adults With Type 2 Diabetes: Effects On Glycemic Control, John W. Apolzan, Jessica Gokee Larose, Stephen D. Anton, Robbie A. Beyl, Frank L. Greenway, Edmond P. Wickham, Autumn Lanoye, Melissa N. Harris, Corby K. Martin, Tiffany Bullard, Gary D. Foster, Michelle I. Cardel Dec 2023

A Scalable, Virtual Weight Management Program Tailored For Adults With Type 2 Diabetes: Effects On Glycemic Control, John W. Apolzan, Jessica Gokee Larose, Stephen D. Anton, Robbie A. Beyl, Frank L. Greenway, Edmond P. Wickham, Autumn Lanoye, Melissa N. Harris, Corby K. Martin, Tiffany Bullard, Gary D. Foster, Michelle I. Cardel

Clinical Research Faculty Publications

Background: The objective was to test the efficacy of a scalable, virtually delivered, diabetes-tailored weight management program on glycemic control in adults with type 2 diabetes (T2D). Methods: This was a single arm, three-site clinical trial. Participants had baseline HbA1c between 7–11% and BMI between 27–50 kg/m2. Primary outcome was change in HbA1c at 24 weeks. Secondary outcomes were changes in body weight, waist circumference, the Diabetes Distress Scale (DDS), quality of life (IWQOL-L), and hunger (VAS). Generalized linear effects models were used for statistical analysis. Results: Participants (n = 136) were 56.8 ± 0.8 y (Mean ± SEM), 36.9 …

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The Gender Gap: A Comparative Analysis Of Male And Female Rape Victims, Emma Carlo Dec 2023

The Gender Gap: A Comparative Analysis Of Male And Female Rape Victims, Emma Carlo

Honors Capstones

No abstract provided.

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Early Effects Of The Emergency Rental Assistance Program: Evidence From A Natural Experiment, Logan Kern Dec 2023

Early Effects Of The Emergency Rental Assistance Program: Evidence From A Natural Experiment, Logan Kern

Honors Capstones

No abstract provided.

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