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Articles 17131 - 17160 of 5203971
Full-Text Articles in Entire DC Network
The Motion Of A Falling Object Under Linear Drag And How Differential Equations Can Be Used To Find It, Lukas Estrella
The Motion Of A Falling Object Under Linear Drag And How Differential Equations Can Be Used To Find It, Lukas Estrella
Discovery Day - Daytona Beach
This project, "The Motion of a Falling Object Under Linear Drag and How Differential Equations Can Be Used To Find It," investigates the motion of a falling object subject to air resistance through a combination of mathematical modeling and fundamental physical principles. The analysis is grounded in Newton’s second law, which yields a differential equation describing the forces acting on the object. Assuming a linear drag model, in which the resistive force is proportional to velocity, the governing equation reduces to a first-order ordinary differential equation for velocity. This equation is solved using the integrating factor method, yielding an explicit …
Drug Seizures, Entry Points, And Social Vulnerability In The Us, Taryn Eddy
Drug Seizures, Entry Points, And Social Vulnerability In The Us, Taryn Eddy
Discovery Day - Daytona Beach
Drug trafficking into the United States remains a significant homeland security challenge, shaped by transportation infrastructure, border dynamics, and community vulnerability. This study conducts a spatial analysis of U.S. Customs and Border Protection (CBP) drug seizure activity in relation to major transportation entry points and county-level social vulnerability. Using ArcGIS Pro, drug seizure data are mapped by CBP Field Office and overlaid with key infrastructure layers, including land ports of entry, international airports, seaports, and interstate highway corridors. County-level Social Vulnerability Index (SVI) data from the CDC/ATSDR are incorporated to assess whether areas experiencing high seizure activity are also characterized …
Trim Characteristics And Its Importance, Daviel Peralta
Trim Characteristics And Its Importance, Daviel Peralta
Discovery Day - Daytona Beach
This project will go into the characteristics that lead to the concept of “Trim adjustment” in aircraft by modeling and demonstrating physical principles and mathematical concepts under ideal conditions. We will derive an equation from the basic physical principles of torque and lift to demonstrate how the trim is adjusted in steady, constant velocity flow for the sake of the pilot’s ease of control and to induce stability in flight. These adjustments are considered differently with different types of aircraft; as such, we will be focusing on mono-fixed-winged aircraft with one engine and conventional helicopter designs. Both flying devices will …
Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane
Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane
Discovery Day - Daytona Beach
Project G.L.E.N., formally known as “Refining Enhanced Fujita Wind Estimates via Unmanned Collection of In-Situ Tornadic Data Measurements,” is an ongoing initiative aimed at advancing tornado research through the development and deployment of an unmanned tornado probe. Through the Gale Level Environmental Navigator (G.L.E.N.) probe, a remote-controlled unit equipped with specialized meteorological sensors and innovative design features, we aim to collect real-time, onsite data from within tornadoes. This approach allows for direct measurement of internal atmospheric conditions such as wind speeds, pressure fluctuations, temperature, humidity, and other storm dynamics while removing human risk from tornado interception, significantly enhancing the safety …
Mri-Based Estimation Of The Hip Joint Center In Infants Using Two Sphere-Fitting Methods, Victoria Melendez
Mri-Based Estimation Of The Hip Joint Center In Infants Using Two Sphere-Fitting Methods, Victoria Melendez
Discovery Day - Daytona Beach
Accurate estimation of the hip joint center (HJC) is critical for biomechanical modeling and clinical assessment. Common methods include predictive methods (e.g., regression equations) and functional methods such as sphere-fitting. In infants, femoral head-based methods are often limited due to incomplete ossification of the anatomy and poor visualization in computed tomography (CT) images. This study evaluates an alternative approach using MRI-based sphere fitting of the ossified acetabular rim, comparing its accuracy to traditional femoral head-based methods. MRI scans of three male infants (ages 10.7- 12.7 months) were used to manually place landmarks on the ossified acetabulum and the cartilaginous boundary …
Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston
Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston
Discovery Day - Daytona Beach
NEXA is an artificial intelligence software platform developed to enhance residential security and property monitoring through seamless integration with autonomous drone systems. This research application of advanced AI in surveillance aims to create a standalone solution capable of real-time threat detection and intelligent alert management. By processing visual and sensory data, NEXA facilitates autonomous drone operation with minimal human intervention. Secure communication channels ensure that instant alerts are delivered to property owners and, potentially, law enforcement, improving response times in security incidents, search-and-rescue operations, and perimeter surveillance. Additionally, NEXA is capable of interfacing with commercially available drone platforms and presents …
Apical-Out Lung Organoids: A Platform For Spaceflight And Cf Research, Valeria Jimenez, Ally Schwennesen
Apical-Out Lung Organoids: A Platform For Spaceflight And Cf Research, Valeria Jimenez, Ally Schwennesen
Discovery Day - Daytona Beach
A genetic condition known as cystic fibrosis (CF) is brought on by mutations in the CFTR gene, which results in chronic lung inflammation and impaired chloride ion transport. CF bronchial epithelial cells enable direct comparison of disease pathology, while normal human bronchial epithelial (NHBE) cells offer an essential model for researching airway physiology. Realistic modeling of respiratory tissue and its reaction to environmental stressors like microgravity is made possible by the creation of 3D lung organoids from these cells. In this project, we developed apical-out organoids, which expose the apical surface of epithelial cells to the external environment. These organoids …
Turbine Aerodynamics And Performance Characterization, Anuranan Bharadwaj, Kalkamanali Satvaldy, Vincent Shi
Turbine Aerodynamics And Performance Characterization, Anuranan Bharadwaj, Kalkamanali Satvaldy, Vincent Shi
Discovery Day - Daytona Beach
This research presents an integrated study combining computational modeling and experimental validation to enhance the design and performance characterization of small-scale turbine systems. The theoretical component focuses on developing an object-oriented Python code for the preliminary design and performance prediction of radial turbines, capable of generating velocity triangles, thermodynamic properties, and geometric parameters from user-defined inputs. The tool employs Whitfield-based correlations and fundamental gas-dynamic relations to estimate exit flow parameters, work ratio, and efficiency, offering flexibility for expansion into geometry export and CAD integration. Complementing the computational model, the experimental component aims to improve the aerodynamic testing capabilities of the …
An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer
An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer
Discovery Day - Daytona Beach
An Evaluation of Machine Learning Models' Efficacy in Determining UAV Spoofing Attacks - The rapid integration of Unmanned Aerial Vehicles (UAVs) into urban airspace has introduced significant cybersecurity concerns, particularly due to vulnerabilities in Automatic Dependent Surveillance–Broadcast (ADS-B), which lacks authentication and encryption. This project addresses the problem of detecting spoofing and data manipulation attacks that can compromise UAV safety and mission reliability. The objective of this work is to evaluate the effectiveness of machine learning–based anomaly detection, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, as protocol-agnostic solutions for identifying anomalous UAV behavior. To achieve this, …
Investigation Of Biofilm Formation And Osmotic Stress Tolerance Of Nonmotile Escherichia Coli In Simulated Microgravity, Tyler Jenkins
Investigation Of Biofilm Formation And Osmotic Stress Tolerance Of Nonmotile Escherichia Coli In Simulated Microgravity, Tyler Jenkins
Discovery Day - Daytona Beach
Simulated microgravity presents multiple physiological stressors for astronauts, including bone demineralization, muscle loss, and weakening of the immune system. Bacteria serve as viable model organisms to study physiological changes because of their abundance in the human digestive system and skin. Motility in bacteria plays a significant role in cell survival, but few studies have been conducted on microgravity’s effect on motility phenotypes. While motile strains like Escherichia coli K12 have been studied extensively under microgravity conditions, the effects of simulated microgravity on non-motile strains are largely unknown. To better understand this relationship, the nonmotile E. coli MG1655 strain was inoculated …
String-Of-Pearls Measurements Of Supersonic Plasma Jets Using Magnetospheric Multiscale Satellites, Amelia Koth
String-Of-Pearls Measurements Of Supersonic Plasma Jets Using Magnetospheric Multiscale Satellites, Amelia Koth
Discovery Day - Daytona Beach
High-energy supersonic plasma jets form when the solar wind, which is a flow of charged particles from the Sun, slows down as it encounters Earth’s magnetic shield. Occasionally, the solar wind remains at supersonic speeds as it enters this region. This forms plasma jets that propagate toward Earth; these jets can carry strong magnetic fields, drive magnetic reconnection, and potentially initiate substorms that lead to auroral activity. Previously studied plasma jets occurred when the interplanetary magnetic field (IMF) points southward. In contrast, this study focuses on northward IMF conditions, which are less understood, yet still capable of producing supersonic jets. …
Evaluation Of Antimicrobial Resistance In Pathogens Relevant To Long-Duration Space Missions, Natalie Brattain, Yegor Bushnev, Mikayla M. Dutkiewicz
Evaluation Of Antimicrobial Resistance In Pathogens Relevant To Long-Duration Space Missions, Natalie Brattain, Yegor Bushnev, Mikayla M. Dutkiewicz
Discovery Day - Daytona Beach
Antimicrobial resistance is a growing global concern that necessitates the development of effective strategies for selecting appropriate antibiotics, especially in the context of future long-duration space missions, where infection control and treatment options are limited. This study employs the Kirby–Bauer disk diffusion assay to evaluate the antimicrobial susceptibility of Pseudomonas aeruginosa and other clinically and spaceflight-relevant bacterial pathogens such as Klebsiella pneumoniae, Staphylococcus aureus, and Streptococcus pneumoniae. These pathogens will be tested with commonly used antibiotics and potential natural compounds. The pathogens will be cultured and isolated onto Mueller–Hinton agar plates. Antibiotic disks, along with various flavonoids disks, such as …
Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk
Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk
Discovery Day - Daytona Beach
HELIO: Heliophysics Enhanced Learning for Intelligent Orbits Satellite constellations operating in near-Earth space are increasingly vulnerable to space weather disturbances, such as solar flares, coronal mass ejections (CMEs), and high-speed solar wind streams, which degrade communications, destabilize attitude control, and accelerate orbital decay. These disturbances directly threaten mission continuity, constellation availability, and space asset survivability. Current protective approaches rely primarily on ground-based alerts and lack integration with broader space domain awareness, which results in programmed reactive protocols that are often initiated too late to prevent performance degradation and asset loss. The HELIO project addresses this gap by turning space-weather forecasts …
Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe
Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe
Discovery Day - Daytona Beach
This project investigates the application of reinforcement learning (RL) to optimize low-thrust interplanetary trajectory design, focusing on the Earth-Venus transfer leg of the BepiColombo mission. Traditional trajectory optimization methods, such as patched conics and genetic algorithms, often require simplifying assumptions or complex optimization schemes. This work formulates the trajectory design problem as an optimal control problem (OCP) within a Markov Decision Process (MDP) framework, enabling an RL agent to learn efficient transfer strategies under realistic spacecraft constraints. The objective is to develop an autonomous guidance approach capable of replicating or improving upon established mission designs. The spacecraft is modeled as …
Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa
Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa
Discovery Day - Daytona Beach
The Generalized Cloud-Based Compressible Aerodynamics Calculator and Simulation Web App focuses on the development of a tool to support the analysis, visualization, and teaching of compressible aerodynamics. In the case of most undergraduate aerospace engineering courses, students rely on static equations, charts, and manual calculations, which can make it difficult to conceptualize complex flow phenomena such as shock waves, expansion fans, and nozzle flow. The purpose of this project is to create an accessible platform that integrates a compressible flow calculator, nozzle sizing tool, and interactive simulations into a single educational resource. The application is implemented using modern web development …
Terramechanics-Based Comparison Of Dem And Crm For Lunar Surface Applications, Nicolas Bonasoro
Terramechanics-Based Comparison Of Dem And Crm For Lunar Surface Applications, Nicolas Bonasoro
Discovery Day - Daytona Beach
Understanding how lunar regolith interacts with robotic systems is important for safe surface operations because uncertain terrain conditions can affect rover traversability and lunar lander stability. This work applies terramechanics to two space robotics applications: in-situ cone penetration testing (CPT) for terrain assessment and lunar lander touchdown analysis for evaluating sinkage, force response, and stability. The study compares the Discrete Element Method (DEM), which resolves particle-scale interactions and captures detailed regolith behavior, with the Continuum Representation Method (CRM), which models soil response more efficiently and supports rigid CAD components such as lander footpads, legs, and body geometries. Current CPT results …
Chemical Profiling Of Star Anise (Illicium Verum) Via Gc–Ms: Identifying Compounds With Pharmaceutical Potential, Legacy Wilson, Yegor Bushnev
Chemical Profiling Of Star Anise (Illicium Verum) Via Gc–Ms: Identifying Compounds With Pharmaceutical Potential, Legacy Wilson, Yegor Bushnev
Discovery Day - Daytona Beach
Title: Chemical Profiling of Star Anise (Illicium verum) via GC–MS: Identifying Compounds with Pharmaceutical Potential Abstract: Star anise (Illicium verum) has been used for both medicinal and culinary applications due to its diverse bioactive compounds. It is a primary natural source of shikimic acid (𝐶7𝐻10𝑂5), a key precursor in the synthesis of the antiviral drug oseltamivir (Tamiflu), used to treat influenza. Additionally, star anise has been used to treat respiratory and digestive conditions and is widely used for flavoring due to its licorice-like aroma, mainly from trans-anethole (𝐶10𝐻12𝑂) , its major component. Previous studies have also demonstrated mild central nervous …
Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang
Robotic Arm Development For Cone Penetration Testing On The Lunar Surface, Jonah Graff, Derek Zhang
Discovery Day - Daytona Beach
Just as on Earth, future lunar operations will require accurate characterization of surface conditions. On Earth, a proven method for this is Cone Penetration Testing (CPT), which evaluates soil bearing capacity and stratification. This information is vital for lunar operations, including habitat construction, resource extraction, and safe pathfinding. However, traditional CPT systems are designed for human operation and lack autonomy. This project addresses that limitation by developing an autonomous, in-situ terrain characterization system for lunar surfaces. The device is driven by ball-screw actuators powered by stepper motors and controlled through an Arduino Mega, using a combination of metal and 3D-printed …
Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian
Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian
Discovery Day - Daytona Beach
The Entropic Lattice Boltzmann Method (EELBM) has demonstrated strong numerical stability and accuracy for two-dimensional simulations, particularly at higher resolutions where the entropic formulation introduces only minimal stabilizing turbulent viscosity and eventually converges to the Lattice Bhatnagar–Gross–Krook (LBGK) formulation. This built-in stabilization can be interpreted as an implicit large-eddy simulation (LES) model, allowing EELBM to capture complex turbulent behavior without requiring explicit subgrid-scale closures. While these advantages have been thoroughly validated in 2D, understanding how the entropic constraint regulates dissipation in three dimensions is essential for assessing EELBM’s suitability for practical, turbulence-dominated applications. This work focuses on the development and …
Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta
Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta
Discovery Day - Daytona Beach
This project evaluates the feasibility of sustained onboard AI autonomy for a solar-powered Mars rover by directly linking solar energy availability to achievable compute performance. While Mars solar irradiance and edge computing performance have been studied independently, no unified framework currently couples surface power generation to autonomy throughput in an experimentally validated manner. The project will begin with a simulation of solar power generation for a 1 m² rover-mounted array across a Martian sol, accounting for seasonal variation, dust opacity, and array configuration (fixed versus sun-tracking). The resulting power profile will then be coupled to representative compute platforms running autonomy …
Metabolic Regulation And Immunity In The Spaceflight Environment, Graeme Grainger, Riley Dienna, Astrid Senko, Angela Cebula, Arden Rodriguez Arden Rodriguez
Metabolic Regulation And Immunity In The Spaceflight Environment, Graeme Grainger, Riley Dienna, Astrid Senko, Angela Cebula, Arden Rodriguez Arden Rodriguez
Discovery Day - Daytona Beach
Long-duration spaceflight exposes astronauts to chronic ionizing radiation and microgravity that disrupts homeostasis in the immune system and cellular metabolism. While simulated spaceflight models demonstrate altered T-cell polarization and sex-dependent shifts toward regulatory phenotypes, the metabolic mechanisms driving these immune changes remain unclear. Immune cell function is tightly linked to metabolic programming, with effector T cells relying on glycolysis and regulatory T cells favoring oxidative metabolism, making them highly sensitive to shifts in nutrient availability and redox balance. Emerging research further suggests that neutrophils act as metabolic regulators capable of reshaping the immune microenvironment through oxidative stress, cytokine production, and …
Effects Of Human-Animal Interaction On Positive Youth Development: A Replication Study, Allison Pachunka, Jay Jeffries, Lisa Karr, Lena Luck, Bryan A. Reiling, Douglas H. Schultz, Jeffrey R. Stevens
Effects Of Human-Animal Interaction On Positive Youth Development: A Replication Study, Allison Pachunka, Jay Jeffries, Lisa Karr, Lena Luck, Bryan A. Reiling, Douglas H. Schultz, Jeffrey R. Stevens
People and Animals: The International Journal of Research and Practice
Interacting with animals can improve health and well-being across the lifespan. Some programs such as 4-H and FFA center around youth interacting with animals, potentially enhancing youth development. Mueller (2014) investigated whether these interactions and attitudes about animals influenced measures of positive youth development. The aim of our studies was to replicate Mueller’s methods and extend her work by evaluating whether membership in animal-focused youth programs moderate associations between interactions, attitudes, and positive youth development. We did not find strong relationships among human–animal inter-action and positive youth development, which failed to replicate Mueller’s findings. However, we did find relationships between …
Implementation Of Artificial Intelligence In Retinoblastoma Diagnosis, Zana Moldavsky
Implementation Of Artificial Intelligence In Retinoblastoma Diagnosis, Zana Moldavsky
inSIGHT
The retina is essential for vision. It is composed of 10 distinct layers and contains specialized photoreceptor cells, rods, and cones that are responsible for converting photons of light into electrical signals through a process called phototransduction.1 These electrical signals are transmitted to the brain via the optic nerve where they are interpreted as a visual picture.1
Retinoblastoma is a rare but aggressive malignant tumor of the retina and represents the most common intraocular malignancy in the pediatric populabon.2 The disease follows Knudson's two-hit hypothesis and occurs due to biallelic inactivation of the RB1 tumor suppressor gene …
Home-Use Oct For Neovascular Age-Related Macular Degeneration: A Rapid Review, Sneh S. Shah
Home-Use Oct For Neovascular Age-Related Macular Degeneration: A Rapid Review, Sneh S. Shah
inSIGHT
Neovascular age-related macular degeneration (nAMD) requires frequent monitoring to identify recurrent exudation and guide treatment with anti-vascular endothelial growth factor (VEGF) therapy.1 Clinic-based optical coherence tomography (OCT) plays a central role in management but provides only intermittent assessments of a disease that changes over time. Home-use OCT technologies have recently been developed as a possible solution, allowing patients to perform self-imaging with remote clinician review and artificial intelligence (AI)-assisted analysis. This rapid review summarizes current evidence on home-use OCT for nAMD, including feasibility, diagnostic performance, clinical usefulness, and challenges related to implementation. Findings from feasibility studies, AI validation analyses, observational …
Glp-1 Receptor Agonists And Ocular Risk, Saharsh Satheesh
Glp-1 Receptor Agonists And Ocular Risk, Saharsh Satheesh
inSIGHT
Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have moved from second-line diabetes medications toward the frontline of type 2 diabetes, obesity, and cardiometabolic care.1 A meta-analysis of 10 randomized cardiovascular outcomes trials (n = 71,351) demonstrated that longacting GLP-1 RAs reduce major adverse cardiovascular events by 14%, all-cause mortality by 12%, and composite kidney outcomes by 17%.2 With GLP-1 RAs usage increasing, ophthalmology is also increasingly encountering patients who have recently started GLP-1 RAs therapy, often alongside substantial improvements in glycemic control.
In the context of GLP-1 RAs ocular complications, two specific topics currently dominate conversations: (1) worsening diabetic …
Dichoptic Therapy Versus Patching – State Of Literature Review, Eve Miller
Dichoptic Therapy Versus Patching – State Of Literature Review, Eve Miller
inSIGHT
Amblyopia is the most common cause of vision loss in children. A meta-analysis performed by Hu et al. 2022 estimated the global prevalence of amblyopia to be 1.36%.1 Amblyopia is defined as a reduction in best-corrected visual acuity (BCVA) of one or both eyes caused by abnormal neurologic development in the critical period of visual development. Amblyopia may result from unequal refractive error, strabismus or ocular pathology.2 Despite treatment of these inciting factors, suppression of one eye remains, resulting in unequal vision. The clinical consequences of untreated amblyopia include permanent reduction in vision in the affected eye and …
Novel Advancements In Glaucoma Surgery, Eshani Ragam
Novel Advancements In Glaucoma Surgery, Eshani Ragam
inSIGHT
Glaucoma is a degenerative ocular condition characterized by irreversible vision loss from damage to the optic nerve. This is usually secondary to increased aqueous production or impaired aqueous outflow, resulting in increased intraocular pressure (IOP). Aqueous outflow is managed by the trabecular meshwork and Schlemm’s canal, although secondary pathways may also be involved.1 Injury to the nerve is permanent, and interventions are primarily aimed at slowing the rate of progression. While eye drops and laser procedures are first-line measures to lower IOP, more persistent or severe etiologies require surgical treatment to preserve sight.2 In recent years, advancements in …
Novel Treatments For Keratoconus, Caroline Paik
Novel Treatments For Keratoconus, Caroline Paik
inSIGHT
Keratoconus is a progressive condition in which the cornea gradually thins and bulges outward, causing it to become steep and irregular. This leads to irregular astigmatism and worsening vision, most often beginning in adolescence or early adulthood.1 The management of keratoconus has evolved significantly over the past two decades, with novel therapeutic approaches emerging across three critical domains: halting disease progression, improving visual function, and providing surgical alternatives when conservative measures fail. This review examines the latest advances in keratoconus treatment, focusing on innovative approaches that are reshaping clinical practice.
Insight, Volume 6, Issue 1, 2026
Insight, Volume 6, Issue 1, 2026
inSIGHT
Contents
7 - Novel Treatments for Keratoconus
By Caroline Paik
12 - Novel Advancements in Glaucoma Surgery
By Eshani Ragam
16 - Dichoptic Therapy versus Patching – State of Literature Review
By Eve Miller
24 - GLP-1 Receptor Agonists and Ocular Risk
By Saharsh Satheesh
33 - Home-use OCT for Neovascular Age- Related Macular Degeneration
By Sneh Shah
40 - Implementation of Artificial Intelligence in Retinoblastoma Diagnosis
By Zana Moldavsky
Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan
Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan
Journal of South Carolina Water Resources
The Southeastern U.S., despite its humid climate, experiences recurrent meteorological droughts which impact agricultural, water resources, ecological systems, and the economy and society. Knowledge of future drought conditions can guide adaptation efforts. Here, we evaluate historical and projected droughts using the Standardized Precipitation Index (SPI) and the Standardized Precipitation-Evapotranspiration Index (SPEI) computed from an ensemble of eight bias-corrected Global Climate Models (GCMs) from the Climate Model Intercomparison Phase-6 (CMIP6). The historical performance (1950–2014) of the GCM’s mean was benchmarked against gridded observations from the Climate Research Unit (CRU). Future changes were assessed under 1.5°C, 2.0°C, and 3.0°C global warming levels.We …