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Afbnet: A Lightweight Adaptive Feature Fusion Module For Super-Resolution Algorithms, Lirong Yin, Lei Wang, Siyu Lu, Ruiyang Wang, Haitao Ren, Ahmed Alsanad, Salman A. Alqahtani, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng Jan 2024

Afbnet: A Lightweight Adaptive Feature Fusion Module For Super-Resolution Algorithms, Lirong Yin, Lei Wang, Siyu Lu, Ruiyang Wang, Haitao Ren, Ahmed Alsanad, Salman A. Alqahtani, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng

Faculty Publications

At present, super-resolution algorithms are employed to tackle the challenge of low image resolution, but it is difficult to extract differentiated feature details based on various inputs, resulting in poor generalization ability. Given this situation, this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block (AFB) for feature extraction. This module mainly comprises dynamic convolution, attention mechanism, and pixel-based gating mechanism. Combined with dynamic convolution with scale information, the network can extract more differentiated feature information. The introduction of a channel spatial attention mechanism combined with …

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Afterword: Moses And The Modern Germans: The Lawgiver In A Philhellenic Age, Suzanne Marchand Jan 2024

Afterword: Moses And The Modern Germans: The Lawgiver In A Philhellenic Age, Suzanne Marchand

Faculty Publications

No abstract provided.

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Revisiting The Notion Of Vicarious Cause: Allure, Metaphor, And Realism In Object-Oriented Ontology, Jon Cogburn, Niki Young Jan 2024

Revisiting The Notion Of Vicarious Cause: Allure, Metaphor, And Realism In Object-Oriented Ontology, Jon Cogburn, Niki Young

Faculty Publications

We revisit the notion of vicarious causation in Graham Harman's Object-Oriented Ontology (OOO) in order to first show that Harman has articulated two iterations of his account that are in tension with one another; one is found in his earlier paper "On Vicarious Causation,"while the other is contained in his later writings following the publication of Object-Oriented Ontology: A New Theory of Everything. This involves a critical assessment of his developing theory of metaphor in a way that encourages sympathetic revision in the service of improving his non-correlationist view of intra-objective relations.

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The Aftermath Of The 2019 Pulwama Terror Attack–Religion, Nationalism And Exclusion In Online News Comment Sections, Nihar Sreepada, Ioana Coman Jan 2024

The Aftermath Of The 2019 Pulwama Terror Attack–Religion, Nationalism And Exclusion In Online News Comment Sections, Nihar Sreepada, Ioana Coman

Faculty Publications

This study analyses the Indian and Pakistani publics reactions of the extensive coverage of the Pulwama terror attack, through an analysis of the online comments appearing at the end of the news stories covering the attack from the two leading English newspapers: Times of India (TOI) (India), and Dawn (D) (Pakistan). A qualitative content analysis is performed to compare and examine this dialogue emerging in the news comments sections. Findings are explored and discussed through conceptualizations of religion, nationalism, and a social psychological perspective towards exclusion of out-groups.

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Negotiating Quotidian Justice In The Science Classroom, Christopher Irwin, Joshua Ellis Jan 2024

Negotiating Quotidian Justice In The Science Classroom, Christopher Irwin, Joshua Ellis

Faculty Publications

In this conceptual paper, we explore how science teachers might enact social justice through their everyday science instruction. Drawing on empirical literature and our own K-12 teaching experience, we develop a heuristic for mapping classroom discourses to engage in action and reflection to change both the world of the classroom community, and the world beyond the school. We suggest how this heuristic can be used for justice-oriented science teaching independently of (or as a supplement to) any existing frameworks for science teaching to promote social justice. Our proposed model for social justice through disciplinary science teaching frames justice not as …

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Measuring And Modelling Functional Moat Area In Perennially Ice-Covered Lake Fryxell, Antarctica, Michael S. Stone, Mark R. Salvatore, Hilary A. Dugan, Madeline E. Myers, Peter T. Doran Jan 2024

Measuring And Modelling Functional Moat Area In Perennially Ice-Covered Lake Fryxell, Antarctica, Michael S. Stone, Mark R. Salvatore, Hilary A. Dugan, Madeline E. Myers, Peter T. Doran

Faculty Publications

The perennially ice-covered lakes of the McMurdo Dry Valleys (MDVs), Antarctica, are an important reservoir of liquid water in an arid and largely frozen environment. During the austral summer, the margins of these ice covers melt, forming a “moat” of liquid water and thin ice, allowing exchange between lake waters and the atmosphere to occur and serving as an interface between lake, soil, and stream ecosystems. The size of these moats varies from year to year. Here, we have established the first published record of moat area changes at MDVs’ Lake Fryxell through time using manual traces of the moat …

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Contribution Of Campaign Gnss Toward Parsing Subsidence Rates By Time And Depth In Coastal Bangladesh, Michael S. Steckler, Md Hasnat Jaman, Céline Jo Grall, Steven L. Goodbred, Carol A. Wilson, Bar Oryan Jan 2024

Contribution Of Campaign Gnss Toward Parsing Subsidence Rates By Time And Depth In Coastal Bangladesh, Michael S. Steckler, Md Hasnat Jaman, Céline Jo Grall, Steven L. Goodbred, Carol A. Wilson, Bar Oryan

Faculty Publications

Coastal regions are vulnerable to rising seas, increasing storm magnitude, and decimation of ecologically-fragile areas. Deltas are particularly sensitive to the balance between sea-level rise, land subsidence and sedimentation that determine relative elevation. Bangladesh has been highlighted as being at risk from sea-level rise. Integrating measurements from different methods can approach a more complete understanding of factors controlling areally and temporally varying subsidence rates. To augment our compilation of rates from stratigraphic wells, historic buildings, vertical strainmeters, RSET-MH, and continuous Global Navigation Satellite System, we resurveyed 48 geodetic monuments in coastal Bangladesh ∼18 years after the monuments were installed. A …

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Optimizing Privacy And Utility Tradeoffs For Group Interests Through Harmonization, Bishwas Mandal, George Amariucai, Shuangqing Wei Jan 2024

Optimizing Privacy And Utility Tradeoffs For Group Interests Through Harmonization, Bishwas Mandal, George Amariucai, Shuangqing Wei

Faculty Publications

We propose a novel problem formulation to address the privacy-utility tradeoff, specifically when dealing with two distinct user groups characterized by unique sets of private and utility attributes. Unlike previous studies that primarily focus on scenarios where all users share identical private and utility attributes and often rely on auxiliary datasets or manual annotations, we introduce a collaborative data-sharing mechanism between two user groups through a trusted third party. This third party uses adversarial privacy techniques with our proposed data-sharing mechanism to internally sanitize data for both groups and eliminates the need for manual annotation or auxiliary datasets. Our methodology …

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Initial Exploration Of Zero-Shot Privacy Utility Tradeoffs In Tabular Data Using Gpt-4, Bishwas Mandal, George Amariucai, Shuangqing Wei Jan 2024

Initial Exploration Of Zero-Shot Privacy Utility Tradeoffs In Tabular Data Using Gpt-4, Bishwas Mandal, George Amariucai, Shuangqing Wei

Faculty Publications

We investigate the application of large language models (LLMs), specifically GPT-4, to scenarios involving the tradeoff between privacy and utility in tabular data. Our approach entails prompting GPT-4 by transforming tabular data points into textual format, followed by the inclusion of precise sanitization instructions in a zero-shot manner. The primary objective is to sanitize the tabular data in such a way that it hinders existing machine learning models from accurately inferring private features while allowing models to accurately infer utility-related attributes. We explore various sanitization instructions. Notably, we discover that this relatively simple approach yields performance comparable to more complex …

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Electrical Energy Harvesting By Connected Form Stable Phase Change Material Composites, Chengbin Yu, Guoqiang Li Jan 2024

Electrical Energy Harvesting By Connected Form Stable Phase Change Material Composites, Chengbin Yu, Guoqiang Li

Faculty Publications

Over the years, thermoelectric energy harvesting has been becoming a topic of intensive research and thermoelectric power generator has been utilized in various energy harvesting applications. However, a thermoelectric device is required to harvest energy, which has relatively low efficiency and high cost. To overcome such a common problem, the objective of this study is to generate electrical energy without using thermoelectric devices. To this end, an advanced energy harvester composed of two different phase change material composites was explored. It was hypothesized that based on the well-known Seebeck effect, stable electrical energy output would be feasible without a thermoelectric …

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Review Of Artificial Neural Networks For Wind Turbine Fatigue Prediction, Alshannaq, Aly Mousaad Aly Jan 2024

Review Of Artificial Neural Networks For Wind Turbine Fatigue Prediction, Alshannaq, Aly Mousaad Aly

Faculty Publications

Wind turbines have emerged as a prominent renewable energy source globally. Efficient monitoring and detection methods are crucial to enhance their operational effectiveness, particularly in identifying fatigue-related issues. This review focuses on leveraging artificial neural networks (ANNs) for wind turbine monitoring and fatigue detection, aiming to provide a valuable reference for researchers in this domain and related areas. Employing various ANN techniques, including General Regression Neural Network (GRNN), Support Vector Machine (SVM), Cuckoo Search Neural Network (CSNN), Backpropagation Neural Network (BPNN), Particle Swarm Optimization Artificial Neural Network (PSO-ANN), Convolutional Neural Network (CNN), and nonlinear autoregressive networks with exogenous inputs (NARX), …

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Field Monitoring Of Bridge Link Slab Performance Under Long-Term And Live Load Effects, A. M. Okeil, M. Canales Jan 2024

Field Monitoring Of Bridge Link Slab Performance Under Long-Term And Live Load Effects, A. M. Okeil, M. Canales

Faculty Publications

Several details to eliminate bridge expansion joints have been proposed, and employed, in bridge construction. Expansion joints are known to require regular maintenance and are the cause of a host of problems including damage to girder ends and substructure components in the vicinity of the joints. The link slab detail is one of these alternatives that eliminates bridge expansion joints without introducing full bridge girder continuity. It has been gaining wide acceptance in North America and is becoming a standard construction detail. A bridge over the Ouachita River in Louisiana, US, employed the link slab detail to connect prestressed concrete …

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Instrumentation And Strain Monitoring Of Bfrp Bars In Pedestrian Bridge Deck Link Slab, A. Elsafty, A. Okeil, J. Fletcher, T. Fowler, D. Jones, S. Nolan Jan 2024

Instrumentation And Strain Monitoring Of Bfrp Bars In Pedestrian Bridge Deck Link Slab, A. Elsafty, A. Okeil, J. Fletcher, T. Fowler, D. Jones, S. Nolan

Faculty Publications

Eliminating bridge deck expansion joints is considered a feasible alternative for addressing problems associated with deck joints, which results in reduced maintenance and improved bridge-deck design life. Link slabs introduce partially continuity for bridge girders and improve the seismic performance, wind and storm wave loads resistance. It also leads to lower cost, improved riding quality, and improved structural integrity, and may lead to longer spans. The goal of this study is to monitor the performance of a link slab employed in a pedestrian bridge where Basalt Fiber Reinforced Polymer (BFRP) bars were used for its reinforcement. The pedestrian bridge was …

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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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Method For Assessing Coating Uniformity Of Angioplasty Balloons Coated With Poly(Lactic-Co-Glycolic Acid) Nanoparticles Loaded With Quercetin, Allison D. Zieschang, Kevin F. Hoffseth, Tammy R. Dugas, Carlos E. Astete, Dorin Boldor Jan 2024

Method For Assessing Coating Uniformity Of Angioplasty Balloons Coated With Poly(Lactic-Co-Glycolic Acid) Nanoparticles Loaded With Quercetin, Allison D. Zieschang, Kevin F. Hoffseth, Tammy R. Dugas, Carlos E. Astete, Dorin Boldor

Faculty Publications

In this study, we aim to quantify coating uniformity and correlate fluorescence intensity to drug loading for drug-coated angioplasty balloons (DCB) coated with 5, 10, 15, or 20 layers of poly(lactic-co-glycolic acid) nanoparticles (NPs) entrapped with quercetin. Uniformity was quantified from histograms and horizontal line profiles of microscopic fluorescent images acquired with sample specific parameters, and cracks in the coating were measured and counted. The fluorescence of images acquired with global parameters was correlated with quercetin loading measured via gravimetric/HPLC analysis. More layers on DCBs may be associated with less uniform coatings, as indicated by differences in histogram standard deviations. …

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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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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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Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning, Suyun Ham, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David Jan 2024

Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning, Suyun Ham, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David

Publications

The primary objective of this project is to investigate the framework of internal damage identification in inhomogeneous media (IHM) using deep learning techniques and wave scattering. The study focuses on two main steps: 1) analyzing the wave response pattern in homogeneous media (HM) and 2) characterizing the wave response variation (WRV) in IHM with different aggregate sizes and random distributions. The WRV patterns are then classified and used to predict internal damage using a convolutional neural network (CNN). The accuracy of the finite element (FE) model is verified using laboratory tests with artificial internal crack models of varying depths. The …

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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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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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Quantization Of Spherically Symmetric Loop Quantum Gravity Coupled To A Scalar Field And A Clock: The Asymptotic Limit, Rodolfo Gambini, Jorge Pullin Dec 2023

Quantization Of Spherically Symmetric Loop Quantum Gravity Coupled To A Scalar Field And A Clock: The Asymptotic Limit, Rodolfo Gambini, Jorge Pullin

Faculty Publications

We continue our work on the study of spherically symmetric loop quantum gravity coupled to two spherically symmetric scalar fields, one which acts as a clock. As a consequence of the presence of the latter, we can define a true Hamiltonian for the theory. The spherically symmetric context allows to carry out precise detailed calculations. Here we study the theory for regions of large values of the radial coordinate. This allows us to define in detail the vacuum of the theory and study its quantum states, yielding a quantum field theory on a quantum space time that makes contact with …

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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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Error In Weighted Analyses And Reported Prevalence Rates, Amanda E. Staiano Dec 2023

Error In Weighted Analyses And Reported Prevalence Rates, Amanda E. Staiano

Population and Public Health Science Faculty Publications

No abstract provided.

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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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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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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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The Influence Of Salinity And Vegetation Texture On The Ecological Roles Of Insects In Tidal Marshes In Louisiana, Benjamin G. Aker, Claudia Husseneder, Lane D. Foil Dec 2023

The Influence Of Salinity And Vegetation Texture On The Ecological Roles Of Insects In Tidal Marshes In Louisiana, Benjamin G. Aker, Claudia Husseneder, Lane D. Foil

Faculty Publications

Tidal marsh insect communities are influenced by both salinity and aspects of vegetation texture (vegetation diversity, plant density, and architectural structure). These factors affect the abundances and intra- and interguild interactions of these insects and should result in broad-scale variation in the distribution and ecological functioning of tidal marsh insect communities along these gradients. However, this assumption has not been tested within Gulf Coast marshes, and the insect communities and their ecological roles are not well known. This study identifies how family-level insect biodiversity varies by salinity and which factors are most important in affecting the distribution of insect functional …

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