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Articles 6151 - 6180 of 136256
Full-Text Articles in Entire DC Network
Beyond Therapy Culture: Solutions For Our Digital Hubris, Spiritual Bankruptcy, And The Moral Imperative Of Humility, Giancarlo Newsome, Andrew Bibb, Merrick Davis
Beyond Therapy Culture: Solutions For Our Digital Hubris, Spiritual Bankruptcy, And The Moral Imperative Of Humility, Giancarlo Newsome, Andrew Bibb, Merrick Davis
Helms School of Government Spring Public Policy Conference
No abstract provided.
Health Care Policy, Luke Lee
Health Care Policy, Luke Lee
Helms School of Government Spring Public Policy Conference
No abstract provided.
Parental Perceptions About Crispr And Other Biological Treatments For Fragile X Syndrome Compared With Sickle Cell Disease (2000-2025): Systematic Review Protocol, Ethan Hunter, Lukah Varghese, Mohit Belur, Prathiv Raj Ramesh Babu
Parental Perceptions About Crispr And Other Biological Treatments For Fragile X Syndrome Compared With Sickle Cell Disease (2000-2025): Systematic Review Protocol, Ethan Hunter, Lukah Varghese, Mohit Belur, Prathiv Raj Ramesh Babu
Undergraduate Student Symposium
Fragile X Syndrome (FXS) is a genetic condition associated with intellectual disability, while Sickle Cell Disease (SCD) comprises inherited red blood cell disorders. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) gene-editing therapies are currently being implemented for SCD but remain experimental for FXS. Understanding caregiver perspectives on CRISPR-based therapies is crucial because families play a central role in weighing risks/benefits during treatment decision-making. Synthesizing evidence on caregiver attitudes toward CRISPR-based therapies for FXS and SCD can help determine if perceptions observed with SCD can inform expectations for FXS. This systematic review will include qualitative, quantitative, and mixed-methods studies published between …
Predicting Alzheimer's Disease Via Machine Learning Through Adni Data, Sahana Reddy
Predicting Alzheimer's Disease Via Machine Learning Through Adni Data, Sahana Reddy
Undergraduate Student Symposium
Alzheimer's disease (AD) is a progressive neurodegenerative disease. Since the neurological pathology, including protein deposits and neurodegeneration, starts a decade before cognitive, memory, and behavioral symptoms, AD development should be predictable from physical biomarkers. This study investigates how patients' memory and cortical brain thickness at baseline can predict their likelihood of developing AD through supervised machine learning. From baseline visits, 205 participants' data were extracted from the ADNI database, all designated as healthy control in the first visit, but some converted to AD or Mild cognitive impairment (MCI) in later visits (Group 2), and some remained healthy (Group 1). The …
Creatine: More Than Just A Gym Bro Supplement? An Evidence-Based Review Of The Safety And Efficacy Of Creatine Monohydrate Supplementation, Lara Kotak
Undergraduate Student Symposium
Creatine monohydrate (CrM) is an extensively researched supplement that has been used to enhance athlete performance, muscle mass, recovery, and even improve health span beyond athletes. Despite the plethora of reasearch supporting creatine supplementation at recommended dosages, misconceptions and further questions regarding its safety and effectiveness remain. Examples of existing concerns include the potential effects of creatine on hydration levels, renal and liver function, fat mass, hair loss, muscle cramping, and fertility. Additionally, there are questions regarding the safety and effectiveness of creatine across populations of such as children, adolescents, females, older adults, and pregnant individuals. Furthermore, inquiry about the …
Time-Dependent Modulation Of Isr And Upr In Glioblastoma Stem Cells Using A Curcumin-Inspired Bis-Chalcone Analog, Abby Morrill, Carleigh Miller
Time-Dependent Modulation Of Isr And Upr In Glioblastoma Stem Cells Using A Curcumin-Inspired Bis-Chalcone Analog, Abby Morrill, Carleigh Miller
Undergraduate Student Symposium
Glioblastoma (GBM) is an aggressive brain tumor driven by therapy-resistant GBM stem cells (GSCs). GSC's rely on adaptive stress pathways like the Integrated Stress Response (ISR) and Unfolded Protein Response (UPR). Curcumin modulates these pathways but has poor bioavailability. We developed curcumin-inspired bis-clacone analogs with improved potency and selectivity against GSCs and tested efficiency using a time-course study. A series of bis-chalcone analogs were synthesized and tested against three patient-derived GSC lines using MTS assay (0.1-10 μM, 72 h). A lead derivative compound compatible with carbon dot nanoparticle conjugation was synthesized and evaluated for mechanistic consistency and GSC cytotoxicity. ISR/UPR …
Investigating Oct3-Mediated Buprenorphine Transport As A Mechanism For Salivary Accumulation And Oral Toxicity, Laasya Vemparala, Veda Pesala, Sydni Gunpath, Mehtab Singh
Investigating Oct3-Mediated Buprenorphine Transport As A Mechanism For Salivary Accumulation And Oral Toxicity, Laasya Vemparala, Veda Pesala, Sydni Gunpath, Mehtab Singh
Undergraduate Student Symposium
In this study we prepared a 3D printed model to better understand OCT3-mediated buprenorphine transport. Buprenorphine is a high affinity partial agonist at the mu-opioid receptor (μ-OR) and main component of Suboxone. It has a unique pharmacological profile that makes it effective for treating both pain and opioid use disorder (OUD) but has been linked to oral health issues such as dry-mouth and tooth decay. The exceptionally tight binding of suboxone to μ-OR allows for sustained receptor occupancy and reduced opioid misuse potential by patients. Recent evidence suggests that the Organic Cation Transporter 3 (OCT3), a membrane transporter expressed in …
Comparative Evaluation Of Artificial Intelligence (Ai) Implications For Active Learning And Assessment In Global Stem And Health Sciences, Vinay Munlapudi
Comparative Evaluation Of Artificial Intelligence (Ai) Implications For Active Learning And Assessment In Global Stem And Health Sciences, Vinay Munlapudi
Undergraduate Student Symposium
Today's all-pervasive emergence of Artificial intelligence (AI) necessitates a comprehensive evaluation of its role in education, especially for occupational disciplines in healthcare and STEM. AI has reshaped student learning and instructors' navigation of the evolving, post COVID-19 global academic landscape. This study aimed at encapsulating evidence-based AI implications for student-centered, active learning and assessment of STEM and health-science education in developed countries versus underprivileged communities. An exploratory, scoping review of 50 recent, scholarly journal-publications was conducted over six months through diverse search engines (Pub-Med, Google Scholar, and library databases) using keywords such as "Active learning with AI" and "Assessment of …
Evaluation Of The Use Of Longitudinal Data For Depression Research And Antidepressant Drug Discovery, Rojie Ekanayake, Niousha Mousavi
Evaluation Of The Use Of Longitudinal Data For Depression Research And Antidepressant Drug Discovery, Rojie Ekanayake, Niousha Mousavi
Undergraduate Student Symposium
Depression is one of the most prevalent mental health disorders, affecting over 280 million people globally. Diagnosis of depression remains limited, and treatment is complicated due to the subjectivity of using psychometric scales for diagnosis. This has created a need for more objective methods for the diagnosis of depression and the assessment of the outcome of various treatment/management methods. These methods should consider a holistic approach encompassing biochemical, mental, and socioeconomic factors of patients. Longitudinal datasets, in the age of AI, offer an unprecedented opportunity for such an approach. Thus, it is hypothesized that the application of machine learning to …
Marine Biodiversity Monitoring And Community Engagement On The Boulder Reefs Of Peanut Island, Sophia Oliveira, Luke Mckeon, Josie Larson, Raymond Hernandez, Triumph Perry, Lianna Rasimowicz
Marine Biodiversity Monitoring And Community Engagement On The Boulder Reefs Of Peanut Island, Sophia Oliveira, Luke Mckeon, Josie Larson, Raymond Hernandez, Triumph Perry, Lianna Rasimowicz
Undergraduate Student Symposium
Artificial boulder reefs were constructed along the shoreline of Peanut Island in Palm Beach County, Florida to enhance habitat complexity and provide a safe, accessible snorkeling experience for the island's many visitors. These nine boulder reefs support a diverse assemblage of marine organisms and offer an ideal setting for ecological monitoring. This project documents the fish, invertebrate, and coral species that utilize these structures and provides the public with accurate, easily accessible information about the organisms they may encounter while snorkeling. Monthly GoPro surveys employing a roving fish sampling technique were conducted on each reef to record new species observations …
Multimodal Speech-Based Dementia Detection Using Wav2vec2 And Demographic Features, Carlos Blanco, Prajwal Shetty, Tyler Hood
Multimodal Speech-Based Dementia Detection Using Wav2vec2 And Demographic Features, Carlos Blanco, Prajwal Shetty, Tyler Hood
Artificial Super Intelligence (ASI) Conference
Early detection of dementia is essential for timely clinical intervention, yet existing diagnostic procedures remain costly and resource-intensive. Speech-based analysis has emerged as a promising non-invasive alternative due to its sensitivity to cognitive decline. In this work, we propose a multimodal framework that integrates self-supervised speech representations from wav2vec2 with demographic metadata, including age, gender, and ethnicity. We evaluate our approach against a strong audio-only baseline under a controlled experimental setup. Results demonstrate a +12.5% improvement in validation accuracy and consistent gains in macro F1-score. These findings indicate that demographic information provides complementary predictive signals beyond acoustic features alone, highlighting …
Invisgrid: Invisible Ai Embeddings In Human-Machine Collaboration For Smart Grid Energy Optimization, Nikunj Doshi, Kavach Shah, Shikhar Patel
Invisgrid: Invisible Ai Embeddings In Human-Machine Collaboration For Smart Grid Energy Optimization, Nikunj Doshi, Kavach Shah, Shikhar Patel
Artificial Super Intelligence (ASI) Conference
AI advisory tools for smart grid management face a persistent and widely recognized problem. Operators frequently ignore recommendations surfaced through separate AI dashboard panels. This rejection arises from alert fatigue induced by disrupted SCADA workflows and heightened cognitive load. Operators managing complex real-time systems already carry a substantial mental burden throughout their shifts. Adding a new panel to monitor compounds that burden rather than alleviating it meaningfully. This paper proposes invisible AI, a paradigm that resolves this adoption problem differently. Instead of introducing new interface components, AI intelligence is embedded into existing visual elements. We present InvisGrid, which fine-tunes a …
Adaptive Task Relevance Modeling In Sequential Neural Training, Priyanka Thakur
Adaptive Task Relevance Modeling In Sequential Neural Training, Priyanka Thakur
Artificial Super Intelligence (ASI) Conference
Sequential neural training frameworks typically emphasize the preservation of performance across previously encountered tasks as the primary indicator of learning stability. However, in environments characterized by evolving objectives and task distributions, intelligent systems may benefit from dynamically adapting internal representations in accordance with changing task relevance. This paper explores the role of adaptive task relevance modeling in continual neural learning, where sequentially trained models are permitted to reconfigure behavioral policies based on shifts in task importance over time. We evaluate the impact of relevance-aware adaptation through sequential training experiments conducted on multiple classification datasets under varying adaptation constraints. Results indicate …
Voice As A Bio-Marker Of Surgical Recovery: Classifying Post-Operative Ent Patients Using Vowel Acoustics, Habeeb Kotun Jr., Shumit Saha
Voice As A Bio-Marker Of Surgical Recovery: Classifying Post-Operative Ent Patients Using Vowel Acoustics, Habeeb Kotun Jr., Shumit Saha
Artificial Super Intelligence (ASI) Conference
Voice has garnered significant interest as a biomarker for diagnosing and managing neurological, respiratory, and cardiovascular diseases. However, upper airway surgeries such as septoplasty, tonsillectomy, and functional endoscopic sinus surgery (FESS) can substantially alter vocal tract anatomy, thereby changing vocal acoustics and potentially confounding voice-based diagnostic systems. This study investigates whether acoustic features from sustained vowels can differentiate between these procedures and a control group. Audio was collected from 105 Spanish-speaking participants 15 days pre surgery and 15 days post surgery. For each vowel, 121 chroma, cepstral, spectral, and temporal features were extracted and then reduced to 90 longitudinally responsive …
From Bedtime To Bacteria: A Sleep Extension Pilot Study Revealing Gut-Linked Pathways, Maya Totev
From Bedtime To Bacteria: A Sleep Extension Pilot Study Revealing Gut-Linked Pathways, Maya Totev
Undergraduate Student Symposium
While the gut contains trillions of bacteria that influence the immune, nervous, and endocrine systems, its implications in health interventions and wellness are often underappreciated. Lifestyle factors, including sleep duration and quality, influence gut microbiome composition and are linked to adverse health outcomes. While sleep extension is known to benefit health, emerging evidence suggests the gut microbiome and inflammatory pathways may help clarify these underlying mechanisms. This pilot study examined the effects of a two-week sleep extension on the gut microbiome composition in healthy adult females as part of a larger investigation of sleep, stress, and systemic inflammation. Participants completed …
Molecular Consequences Of Pcos-Linked Aromatase Variants: Structural Modeling And Inhibitor Docking, Kiran Sajnani, Bharath Kumar Reddy Burry, Yuktha Milukuri, Preya Patel
Molecular Consequences Of Pcos-Linked Aromatase Variants: Structural Modeling And Inhibitor Docking, Kiran Sajnani, Bharath Kumar Reddy Burry, Yuktha Milukuri, Preya Patel
Undergraduate Student Symposium
Polycystic ovary syndrome (PCOS) affects approximately 10% of reproductive-age women and involves hormonal imbalance partly driven by impaired estrogen synthesis. Aromatase (CYP19A1) catalyzes conversion of testosterone and androstenedione to estrogen, but structural consequences of PCOS-associated variants remain unclear. We investifated Val161Asp (V161D), a PCOS-linked substitution that replaces a nonpolar valine with a negatively charged aspartate in a hydrophobic helical region. Using the wild-type structure (PDB 3EQM), we generated a 3D-printed model highlighting the mutation and key catalytic features (heme, substrate-binding channel, conserved monooxygenase motifs). We then produced an AlphaFold V161D model and compared it with wild type in Jmol to …
The Association Between Ultra-Processed Foods And Inadequate Sleep In Us Adults From Nhanes, 2005-2018, Seema Rajper
The Association Between Ultra-Processed Foods And Inadequate Sleep In Us Adults From Nhanes, 2005-2018, Seema Rajper
Undergraduate Student Symposium
Ultra-processed food (UPF), rich in sugar and fat, could affect sleep quality due to inflammation and hormonal imbalance. However, the population level data is scarce, and the findings are mixed, especially in adult populations. We examined associations between UPF consumption and odds of inadequate sleep (characterized by sleep difficulty and/or inadequate sleep duration: short sleep (<7h) or long sleep (≥9 hours)) among U.S. non-pregnant, non-lactating adults using National Health and Nutrition Examination Survey (NHANES) with a 14-year span. We assessed 33,156 adults (aged ≥ 20 y) using up to two 24-hour diet recalls from the NHANES (2005 to 2018). UPF intake was calculated using the NOVA classification system, and inadequate sleep (specifically sleep difficulty, short sleep, long sleep) was ascertained from the self-reported sleep disorder survey. Odds of inadequate sleep (aORs) were compared across the quartile intakes of UPF using population weights-adjusted multivariable general logistic regression. Of the 33,156 adult participants, 34.9% had short sleep (n=11,576), 11.9% had long sleep (n-3,937), and 24.7% had sleep difficulty (n=8,199). We also found that the highest quartile of UPF, relative to the lowest quartile, is significantly associated with 23% increased odds of short sleep (aOR=1.23, 95% CI: 1.07-1.41; p=0.023), after adjusting for all covariates. The dose-response relationships between higher UPF intake and higher risk of short or long sleep were determined, respectively (both p <0.05). However, no association was found with sleep difficulty (aOR = 1.09, 95% CI: 0.95-1.26; p =0.6185). We found the dose-response relationship between higher UPF intakes and higher risk for inadequat sleep …
Integrating Domain Knowledge And Machine Learning In Rice Cultivation: A Case Study Of Algeria, Sara Faruqui, Jane Krivosheev, Jenna Handal
Integrating Domain Knowledge And Machine Learning In Rice Cultivation: A Case Study Of Algeria, Sara Faruqui, Jane Krivosheev, Jenna Handal
Undergraduate Student Symposium
Research has highlighted Artificial Intelligence (AI) as a promising solution to mitigate the threat of food insecurity. Rice, a staple in the global diet, is particularly vulnerable to heat stress caused by climate change. The challenges of climate change, population growth, and increased famine risk may be alleviated through the implementation of AI models in rice cultivation. For decades, agricultural workers have faced the dilemma of needing to increase crop yields while dealing with dwindling resources and the need for more efficient practices. AI models, however, are limited by the quality and scope of the data they receive. Integrating domain …
Direct Energy Cascade Of 2d Quantum Turbulence In Supersolids, Lukas Farthing
Direct Energy Cascade Of 2d Quantum Turbulence In Supersolids, Lukas Farthing
Miners Solving for Tomorrow Research Conference
The non-equilibrium turbulent response of periodically driven three-dimensional ultracold dipolar gases is induced by an external time-dependent ring potential. To model this system and monitor its non-equilibrium quantum dynamics, we invoke an extended Gross-Pitaevskii framework containing the first-order quantum correction to the mean-field energy functional. The shape of the external perturbing potential is chosen to trigger angular roton excitations, driving the supersolid configuration out of equilibrium and attaining a turbulent state. Following the generation of shallow vortical defects in the bulk, a direct cascade front manifests, transporting energy from larger to smaller length scales. This leads to a non-equilibrium quasi-steady …
Triple Active Bridge Implementation And Control, Nehemiah Milton
Triple Active Bridge Implementation And Control, Nehemiah Milton
Miners Solving for Tomorrow Research Conference
The Triple Active Bridge (TAB) is a three-port power converter that allows power flow in both directions with galvanic isolation. This has a wide range of applications, like high-frequency DC-DC conversion, electric vehicles, microgrids and renewable energy systems. To control the TAB during operation, two phase shift parameters between the bridges are adjusted. In this presentation, I will showcase the software and simulation optimizations which extend previous work by reproducing hardware results which align with simulations. I will also go over the knowledge I’ve gained and the skills acquired through this project.
Vertical Equity Skagit Style, Danny Hagen
Vertical Equity Skagit Style, Danny Hagen
GIS/ValuationTechnologies Conference 2026
Vertical equity is one of the most important — and least understood — measures of fairness in property tax systems. While horizontal equity ensures that similar properties are assessed similarly, vertical equity asks whether assessments remain fair across value tiers. This session explores how assessors can measure, monitor, and improve vertical equity using ratio studies, statistical tools, and intentional practices. Drawing on Skagit County’s recent successes, including state-validated results and the use of the Lincoln Institute’s Vertical Equity App, attendees will see how modeling, training, and data accuracy can produce measurable improvements in fairness. We’ll also examine national research, local …
Building A Successful And Innovative Mass Appraisal Modeling Team Part 2, Jennifer Rearich Mas, Cae, Res
Building A Successful And Innovative Mass Appraisal Modeling Team Part 2, Jennifer Rearich Mas, Cae, Res
GIS/ValuationTechnologies Conference 2026
This presentation, Part 2 to the 2023 Presentation with the same title, delves into the management of Maricopa County’s mass appraisal modeling team. It is a deeper dive into training, remote work, and project management aspects. The management of valuation modelers presents unique challenges due to the project-based nature of their work, which contrasts with the production-focused tasks of appraisers or GIS technicians. Training is a critical aspect to the success of a modeling team given the specific skill sets required. In the past two years, we have developed a training library and will discuss our ongoing efforts to meticulously …
Search, Slice, Or Chat: Assessment Data At Your Fingertips, Jamie Christensen
Search, Slice, Or Chat: Assessment Data At Your Fingertips, Jamie Christensen
GIS/ValuationTechnologies Conference 2026
Maintaining separate data systems across departments slows operations and hinders transparency. The City of Chesapeake now offers a single platform where users can access parcel, assessment, tax, and other key datasets, either through a straightforward search or a more advanced filtering interface. This dual access workflow lets city staff quickly retrieve key data, allows real estate professionals to build comps using spatial overlays and detailed filters, and gives citizens an easy way to explore their community. This session will demonstrate how blending simple search and robust filtering tools in one web site increases efficiency, improves data access, and supports all …
A Quantum Argument Against Zeno's Paradox Of Dichotomy, Ryan Christie-Muller
A Quantum Argument Against Zeno's Paradox Of Dichotomy, Ryan Christie-Muller
Undergraduate Student Symposium
During the pre-Socratic period, Parmenides created his radical idea of an eternal, unchanging, and motionless world. This was met with much doubt, contempt, and counterarguments that sought to disprove his statements claiming that the concept of past and future were false, and that both change and movement were impossible. Yet his student, Zeno, came after him and sought to further prove his teacher Parmenides' arguments, creating what are now talked about thousands of years later known as Zeno's paradoxes. This paper will specifically talk about Zeno's dichotomy paradox, claiming that movement cannot exist due to the inherent need to be …
Microbial Photodynamic Inactivation (Pdi) With Meso-Pyridyl Porphyrin Isomers Under Metabolic Gene Knockouts, Dylan Mavlyanov, Kenneth Supersano
Microbial Photodynamic Inactivation (Pdi) With Meso-Pyridyl Porphyrin Isomers Under Metabolic Gene Knockouts, Dylan Mavlyanov, Kenneth Supersano
Undergraduate Student Symposium
Photodynamic Inactivation (PDI) is an antimicrobial technique that functions independently of conventional antibiotic resistance by combining light, photosensitizers, and oxygen in order to eliminate pathogens. Drug-resistant microorganisms have long posed a global challenge, increasing the need for methods that prevent microbes from acquiring further immune adaptations. Photosensitizers serve as compounds that, upon light activation, generate reactive oxygen species (ROS) in order to induce microbial membrane damage and cell death, while also showing effects against cancerous mammalian cells. An investigation was conducted on three meso-Tetra(N-methyl-pyridyl) porphyrin tetrachloride isomers, examining their three conformations of nitrogen substitutions in both freebase and copper-metalated …
Energy Drinks Are Bad... Or Perhaps Not? A Comprehensive Evidence-Based Review Of Energy Drink Safety And Performance Effects, Saanvitha Rajendara
Energy Drinks Are Bad... Or Perhaps Not? A Comprehensive Evidence-Based Review Of Energy Drink Safety And Performance Effects, Saanvitha Rajendara
Undergraduate Student Symposium
Energy drinks rank as some of the most widely consumed functional beverages. However, they still cause controversy, confusion, and strong public opinions. Although many assume that these products are inherently harmful, a growing amount of research is constructing a different understanding. In reviewing the comprehensive analysis conducted by Dr. Jose Antonio, this presentation examines the scientific evidence behind the more common questions and misconceptions about energy drinks. These include rols of key ingredients like taurine and B-vitamins, as well as the energy drinks' influence on performance, metabolism, and overall health. The review also looks at sleep, cardiovascular function, and cognitive …
Microbial Signatures Of Breast Carcinogenesis: Synthesizing Evidence From Breast Tissue Microbiome Studiese, Caroline Rodriguez Chang, Revanth Madamsetty, Krishna Dasyam
Microbial Signatures Of Breast Carcinogenesis: Synthesizing Evidence From Breast Tissue Microbiome Studiese, Caroline Rodriguez Chang, Revanth Madamsetty, Krishna Dasyam
Undergraduate Student Symposium
Breast cancer remains one of the most prevalent cancers worldwide, affecting approximately one in eight women in the United States. Recent advances in microbiome research have highlighted the microbiome's essential role in maintaining health and influencing disease progression. Increasing attention has been directed toward understanding how microbial communities contribute to cancer development, particularly through effects on immune function, metabolism, and cellular signaling pathways. While most existing research has examined the gut microbiome and its relationship to breast cancer focusing on the gut-breast axis, microbial translocation, and their contributions to tumor progression, there is a growing need to characterize the breast …
Hsc-3 Spheroid Enhances Macrophage Autophagy Through Upregulation Of Hgf Activator, Dhara Patel
Hsc-3 Spheroid Enhances Macrophage Autophagy Through Upregulation Of Hgf Activator, Dhara Patel
Undergraduate Student Symposium
Autophagy plays a critical role in regulating macrophage function within the tumor microenvironment. Hepatocyte growth factor activator (HGFA) can modulate autophagy-related pathways, potentially affecting macrophage function. This study aimed to test HGFA expression in oral cancer cell cultures and its effect on macrophage autophagy in a co-culture system. THP-1- derived macrophages were co-cultured with human oral cancer cells (HSC-3) in two-dimensional (2D) monolayers and three-dimensional (3D) spheroids generated using the hanging drop method. HGFA expression in HSC-3 cells was quantified by qPCR. After 72 hours of co-culture, macrophage polarization and autophagy were assessed by flow cytometry. To evaluate the functional …
Nanomedicine-Based Modulation Of Parkinson's Disease Pathology Through Integrated Biological And Computational Approaches, Emma Hickey, Annu Joji, Abdallah Samarah, Larry Delgado, Parushi Porwal, Jonathan Tran, Jaashvi Chandagari
Nanomedicine-Based Modulation Of Parkinson's Disease Pathology Through Integrated Biological And Computational Approaches, Emma Hickey, Annu Joji, Abdallah Samarah, Larry Delgado, Parushi Porwal, Jonathan Tran, Jaashvi Chandagari
Undergraduate Student Symposium
Parkinson's Disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopamine-producing neurons and the aggregation of α-synuclein, a protein that misfolds into neurotoxic fibrils. Current therapies primarily alleviate motor symptoms but do not slow disease progression, leaving PD pathology unaddressed. Biocompatible nanoparticles, known as carbon nanodots (CNDs), represent a promising therapeutic approach by penetrating the blood-brain barrier (BBB) and distrupting amyloid structures. Preclinical studies in zebrafish models of neurodegeneration have shown that our CNDs, developed by the LeBlanc Lab, reduce tau and amyloid-β aggregation, decrease neuroinflammation, and improve neuronal function, emphasizing their translational potential for PD. Here, …
Environmental Monitoring Of The Coral Nursery Lagoon At Peanut Island, Lindsay Scherer, Kamille Jackson, Madelyn Hooper, Briana Badowski, Nicole Mazhar
Environmental Monitoring Of The Coral Nursery Lagoon At Peanut Island, Lindsay Scherer, Kamille Jackson, Madelyn Hooper, Briana Badowski, Nicole Mazhar
Undergraduate Student Symposium
Temperature, dissolved oxygen (DO), salinity, and pH are critical abiotic factors influencing coral reef ecosystems. Enclosed lagoons, such as the one at Peanut Island, often experience reduced water exchange, making them prone to environmental fluctuations that may stress corals. The purpose of this project was to investigate potential correlations between water quality and coral health within the Peanut Island Coral Nursery Lagoon in Palm Beach County, Florida over a year-long period. Three Onset HOBO data loggers were deployed: U22-001 to measure temperature and pH; U26-001 to measure dissolved oxygen; and U24-002-C to measure salinity. The data loggers were deployed near …