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Investigating The Capacity Of Tdp-43 Low Complexity Domain To Target Protein Aggregates In Yeast, Nicholas J. Grahame

Biology Summer Fellows

Utilizing protein TDP-43 and fluorescent proteins to:

Investigate TDP-43’s LCD region in protein aggregates. Use fluorescent protein tagging to visualize co-localization and aggregation. Leverage yeast as a model system for studying LLPS and aggregation.

Can we target chaperone proteins to TDP-43 LCD region?

A Predictive Framework For Early Detection And Personalised Monitoring Of Parkinson’S Disease Using Artificial Intelligence And Large Language Models, Priyadharshini S

Theses and Dissertations

Parkinson’s Disease (PD) is a multifaceted and progressive neurodegenerative disorder that presents a spectrum of motor and non-motor symptoms. Early and accurate diagnosis is essential for effective disease management and improved patient outcomes, yet remains clinically challenging due to symptom overlap and diagnostic limitations. This thesis proposes a comprehensive and interpretable artificial intelligence (AI)-driven diagnostic framework that aims to transform the early detection, personalised monitoring, and treatment recommendation process for PD. The proposed solution integrates deep learning, radiomics, evolutionary optimisation, and large language models (LLMs), ensuring a highly accurate and clinically adaptable system.

The research begins by analysing T2-weighted 3D …

Green Infrastructure Features And Benefits Communicated By Programs Targeting Residents In The Greater Toronto Area, Nya Lazarus-Munnick, Tenley M. Conway

Cities and the Environment (CATE)

Municipalities are increasingly adopting green infrastructure (GI) as a nature-based solution to address stormwater management, climate adaptation, and other urban environmental challenges. One of the strengths of GI is its multifunctionality, which can provide a range of social, economic and environmental benefits. For GI to reach its full potential, widespread implementation throughout a landscape is needed. As a result, GI strategies often rely on various actors, including residents, who can implement GI on their own properties and contribute to the scaling up of GI across a landscape. GI implementation that depends on residents, however, has many challenges pertaining to their …

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Louisiana Law Review

No abstract provided.

Governmental Suppression Of Speech On The Internet: Reflections On The Murthy Decision, Russell L. Weaver

Louisiana Law Review

No abstract provided.

Diffusion Model For Medical Image Denoising, Reconstruction And Translation, Wei Wang, Shuo Li

Faculty Scholarship

Diffusion models, as a class of generative models, have demonstrated significant performance in image generation since their inception. The fundamental principle behind diffusion models is the definition of a forward process and a reverse process. The input data is progressively perturbed by adding random noise during the forward process, and the expected noise distribution is learned. In the reverse process, noise is gradually reduced from a Gaussian distribution to generate the image. Recently, diffusion models have been widely adopted in various image processing tasks, including text-to-image synthesis, denoising, segmentation, and object detection. In medical image analysis, diffusion models have shown …

Predicting Sleep And Sleep Stage In Children Using Actigraphy And Heartrate Via A Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation, Robert Weaver Med, Phd, James White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E. Brown, Russell R. Pate Ph.D., Gregory J. Welk, Massimiliano De Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L. Adams Phd, Bridget Armstrong, Michael Beets Med, Mph, Phd

Faculty Publications

Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5–12 years,52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred be-cause of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables(i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.

Preventing The Police From Using Private Information Obtained Through An Unlawful Search – An Australian Perspective, Sirko Harder

Louisiana Law Review

No abstract provided.

A Tale Of Two Disclosure Requirements, Leslie Gielow Jacobs

Louisiana Law Review

No abstract provided.

The Local Neighborhood Interactions Shaping Tree Communities Through Ecological Disturbance And Environmental Change, Cole Doolittle

Dissertations (1934 -)

My dissertation consists of four chapters focused on understanding the factors maintaining local species diversity, addressing a central goal of ecology increasingly critical for preserving ecosystem services and human well-being in the face of climate change. Specifically, I investigate how local neighborhoods – that is, the spatial arrangement, density, and identity of nearby competitors – contribute to patterns of growth and survival along gradients of ecological disturbance and environmental change using forest tree communities as a study system. In my first chapter, I develop a conceptual framework that synthesizes why we may expect local neighborhood interactions to weaken under ecological …

Transcriptomic Analysis Of Localized High-Risk Prostate Cancer Improves Prognostication And Identifies Benefit From Adding Docetaxel To Definitive Radiotherapy With Androgen Suppression In The Nrg Oncology/Rtog 0521 Phase 3 Trial, Ryan M. Phillips, James A. Proudfoot, Elai Davicioni, Yang Liu, Daniel E. Spratt, Jeff M. Simko, Robert Den, Alan Pollack, Seth A. Rosenthal, A. Oliver Sartor, Christopher J. Sweeney, Gerhardt Attard, Leslie Longoria, Samir Patel, Michael W. Straza, Jason A. Efstathiou, Amit B. Shah, Karen E. Hoffman, Joseph P. Rodgers, Howard M. Sandler, Felix Y. Feng, Phuoc T. Tran

Jefferson Hospital Staff Papers and Presentations

BACKGROUND AND OBJECTIVE: NRG/RTOG 0521 randomized men with high-risk localized prostate cancer (PC) to androgen suppression (AS) and definitive radiotherapy (RT) ± docetaxel-based chemotherapy (CT). The overall survival (OS) benefit with CT initially reported was lost on longer follow-up. The Decipher genomic classifier (GC) measures multiple transcripts relevant to docetaxel action. Basal/luminal differentiation portends differential response to AS and CT for high-risk localized and metastatic hormone-sensitive PC. We validated the Decipher GC in pretreatment biopsy samples for risk stratification and examined basal-luminal subtyping to predict docetaxel response.

METHODS: Decipher GC scores and basal-luminal cellular subtypes were generated for specimens from …

Patient-Centered, Theory-Based, Online Intervention To Promote A Physically Active Lifestyle For People With Multiple Sclerosis: Protocol For A Randomized Controlled Trial, Chungyi Chiu, Vaishnavi Sridharan, Mojtaba Khaliji, Md Refat Uz Zaman Sajib, Xiaotian Gao, Kathleen Zackowski

Children’s Nutrition Research Center Staff Publications

Background: People with multiple sclerosis (MS) experience life challenges due to the nature of disease progression. Although an active lifestyle has been shown effective for symptom and relapse management, most people with MS lead a sedentary lifestyle and do not reach the recommended physical activity (PA) guidelines.

Objective: This study aims to test the preliminary efficacy of a codeveloped, online self-management intervention based on the health action process approach (HAPA) adapted for people with MS to cultivate a physically active lifestyle.

Methods: The 8-week intervention program was developed using community-based participatory research based on the HAPA. The program includes increasing …

Developing A Stochastic Rupture Model Catalog For Earthquakes With Magnitudes Of Seven Or Greater Along The Alaskan Subduction Zone, Alexandru Mihai Lapadat

Geosciences

Alaska represents one of the most seismically active regions in the Ring of Fire and world impacted by large-magnitude (Mw > 6.5) earthquake events, posing significant risks to local communities and infrastructure, but also distant populations due to the associated tsunami hazard. However, limited seismo-geodetic datasets hinder the understanding of the slip kinematics of megathrust earthquakes in the Alaskan subduction zone, complicating the estimation of future earthquake probabilities, surface displacements, and the design of a GNSS-aided Earthquake Early Warning (EEW) system. This research contributes an extensive synthetic rupture model catalog for the Alaskan subduction zone, generated using the stochastic methodology of …

Introduction, Robert Percival

Maryland Journal of International Law

No abstract provided.

Ethical Lawyering While Our House Is On Fire, Jaclyn Lopez

Maryland Journal of International Law

No abstract provided.

A Study On Litigation Strategies Of Environmental Ngos In China’S Centralized Governance Society: Taking Biodiversity Litigation As An Example, Huiyu Zhao, Yizhen Xu

Maryland Journal of International Law

No abstract provided.

Strategic To Whom? Uncovering The Hidden Costs Of Lithium Extraction To Zimbabwean Communities, Obert Bore, Manele Mpofu

Maryland Journal of International Law

No abstract provided.

Reflections On The Clinical Teaching Model: The Experience Of The Alliance Of Environmental Law Clinics Of Latin America And The Caribbean, Andrea Dominguez, Andrés Dulanto

Maryland Journal of International Law

No abstract provided.

A Human Rights-Based Litigation Strategy For Wildlife Protection In Nigeria, Emmanuel K. Omirin

Maryland Journal of International Law

No abstract provided.

Suppression For The Sake Of Democracy: Brazil’S Judiciary And The Fight To Control The Internet, Isaiah Hinton

Maryland Journal of International Law

No abstract provided.

Native Hawaiians And Environmental Stewardship: Reclaiming The ‘Āina In The Face Of A Western System, Lauren Wiederkehr

Maryland Journal of International Law

No abstract provided.

Stokes-Dependent Droplet Collection Efficiency On A Naca 0012 Airfoil From Droplet-Informed Simulations With Statistical Overloading, Arash Shad, Hashnayne Ahmed, ‪Nadim Zgheib, S. Balachandar, S. A. Sherif

Mechanical Engineering Faculty Publications

Accurate modelling of ice accretion on aircraft wings requires analysing droplet impingement on the surface to optimize the design of ice-protection systems. We perform Euler–Lagrange simulations of a droplet-laden flow impinging on a NACA 0012 airfoil. Our study includes water droplets with eight discrete sizes ranging from 1 to 160 microns. We vary the free-stream velocity of the incoming airflow in the range 60≤⁢𝑈≤⁢240 m s−1 and the chord length of the airfoil in the range 0.5≤⁢𝑐≤⁢2 m. Due to the dilute nature of supercooled clouds, one-way coupling is used in the simulations. The effects of droplet breakup and collision …

Numerical Simulation Of Frost Formation And Heat Transfer On Fin-And-Tube Heat Exchangers In Turbulent Cross-Flow, Mahsan Farzaneh, ‪Nadim Zgheib, S. Balachandar, S. A. Sherif

Mechanical Engineering Faculty Publications

Frost formation in fin-and-tube heat exchangers in turbulent cross-flow presents significant challenges in industrial refrigeration applications, affecting heat transfer efficiency and operational reliability. The purpose of this work is to investigate frost deposition and growth on a staggered bank of a fin-and-tube freezer coil under turbulent forced convection conditions. The focus here is on investigating conditions that closely replicate real-world scenarios in large walk-in industrial freezers. Using a direct numerical simulation approach, we examine the flow dynamics and thermal behaviour in the presence of frost, considering turbulent regimes characterized by a Reynolds number in the range 1050≤𝑅⁢𝑒𝐷,avg≤4800, with the characteristic …

Shutdowns And Startups: How Covid-19 Policies Shaped Entrepreneurial Trends Across U.S. States, Mia Sideris

Business and Economics Summer Fellows

The COVID-19 pandemic had an unprecedented impact on the US economy. Severe restrictions were placed on nearly every state, culminating with the declaration of a national emergency in March 2020. The intent of these restrictions was to safeguard public health, while unintentionally imposing operational burdens on businesses. This paper explores how heterogeneity in state level policy responses influenced entrepreneurial activity. Using the synthetic control method and data on mandated workplace closures, we estimate the impact of these actions on business applications per capita in the state of South Carolina, which was late to impose these measures. We find that if …

Exploring Physician Associates’ Perceptions Of Motivational Interviewing: A Phenomenological Study, Thaddeus Riley

Graduate Theses, Dissertations, and Capstones

Longer lifespans across the population are contributing to a rise in chronic illnesses that require ongoing treatment. This increase has furthered the need for evidence-based clinical tools to effectively treat long-term diseases. Motivational Interviewing (MI) is an evidence-based method used by physicians and other healthcare practitioners, including physician associates (PAs), to help patients facilitate health behavior changes. PAs are licensed, highly trained healthcare professionals who practice medicine across all specialties and settings. PAs focus on patient-centered, team-based care and play a key role in expanding access to healthcare and improving overall health outcomes (AAPA, 2023b). While MI’s efficacy has been …

Tailoring Hiv/Aids Communication To The Cultural Contexts Of The Borana Pastoral Community In Ethiopia, Dano Olana, Sabihah Moola

Journal of Social, Behavioral, and Health Sciences

The HIV/AIDS health communication approach in sub-Saharan Africa has often overlooked sociocultural specificities. The current approach follows a generalist notion that does not consider the specific contextual domains accordingly. Similarly, the cultural appropriateness of HIV/AIDS health communication among the Borana pastoral community in Ethiopia is not clear. In this study, we aimed to explore whether HIV/AIDS communication among the Borana pastoral community was tailored to the cultural contexts of the community. A qualitative case study was used to unpack the cultural communication contexts for HIV/AIDS. We collected data using three methods, namely, in-depth interviews, focus group discussions, and document analysis …

Effect Of Margin Thickness And Cement Gap On The Fabrication And Fit Accuracy Of Additively Manufactured Crowns In Definitive Resins With Different Filler Content, Mustafa Borga Dönmez, Gülce Çakmak, Çiğdem Kahveci, Amir H. Nejat, Burak Yilmaz, Pinar Altinci

School of Dentistry Faculty Publications

PURPOSE: To evaluate how commercially available composite resins in varying filler content affect the fabrication and fit accuracy (trueness and precision) of additively manufactured (AM) definitive crowns with different margin thickness and cement gaps by comparing them to subtractively manufactured (SM) polymer-infiltrated ceramic crowns. MATERIALS AND METHODS: Two identical unprepared mandibular right first molars were prepared by an experienced prosthodontist for crowns with either 0.5 mm or 1.0 mm chamfer margins, verified using silicone indexes and a periodontal probe, and then digitized with an industrial-grade scanner. These scan files were used to design reference crowns with either 50-µm or 80-µm …

Creatine Monohydrate Supplementation For Older Adults And Clinical Populations, Darren G. Candow, Sergej M. Ostojic, Philip D. Chilibeck, Igor Longobardi, Bruno Gualano, Mark A. Tarnopolsky, Theo Wallimann, Terence Moriarty, Richard B. Kreider, Scott C. Forbes, Uwe Schlattner, Jose Antonio

Faculty Publications

Background: The biological process of aging is typically associated with a decrease in muscle quantity, muscle performance (primarily strength), bone mass and architecture, functionality and neurological/cognitive function. From a healthy aging perspective, interventions that have the potential to overcome or attenuate these decrements are clinically relevant.

Methods: We conducted a narrative review on the efficacy of creatine monohydrate supplementation (CrM) in older adults. Results: Accumulating research shows that CrM, primarily when combined with exercise training, is safe and has beneficial effects on measures of whole-body lean body mass, regional muscle size, muscle strength, bone area and thickness, functional ability, glucose …

Post-Wildfire Erosion And Sedimentation: An Escalating Threat For Utah Fisheries, Colton James, Kendall Becker, Scott Hotaling, Aish Chandrasekaran, Alex Fiedler, Timothy E. Walsworth, Patrick Belmont

All Current Publications

Wildfires are a natural part of the western U.S. landscape and provide numerous benefits, including enhanced nutrient cycling and habitat rejuvenation. Utah’s fish populations evolved with wildfire as a common disturbance. However, the increasing size and severity of wildfires, combined with Utah’s heavily engineered and fragmented stream networks, pose a contemporary risk to fish populations. This fact sheet reviews wildfire impacts on erosion and Utah's watersheds and fisheries. It outlines measures we can take to prevent post-wildfire fish die-offs.

Spatiotemporal Responses To A Rural Highway By Four Mammal Species, Caitlin K. Brett, Anna Rose Mehner, John H. Young Jr., Sarah E. Lehnen, Richard J. Kline

School of Earth, Environmental, & Marine Sciences Faculty Publications

Roads can negatively impact the wildlife communities they transect. Road mortalities from wildlife-vehicle collisions are one direct effect, but roads may also indirectly affect wildlife behavior, movement, or local distribution. Quantifying the spatial extent of these road-effects is important for understanding how roads indirectly affect species of concern, identifying potential sources of disturbance, and for estimating the effectiveness of road mitigation structures. Farm-to-Market Road (FM)106, which transects part of the Laguna Atascosa National Wildlife Refuge in Cameron County, Texas, has been identified as a potential source of wildlife road mortalities, particularly for one of the two remaining breeding populations of …