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Integrated Computational And Experimental Analysis Of Turbine Aerodynamics, Anuranan Bharadwaj Mar 2026

Integrated Computational And Experimental Analysis Of Turbine Aerodynamics, Anuranan Bharadwaj

Student Research Symposium (SRS)

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 …

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Revisiting Ionospheric Tomography: Non-Linear Fitting With Neutral Atmospheric Signatures And Gravity Waves, Maya Mckean Mar 2026

Revisiting Ionospheric Tomography: Non-Linear Fitting With Neutral Atmospheric Signatures And Gravity Waves, Maya Mckean

Student Research Symposium (SRS)

The global coverage of total electron content (TEC) measurements from ground-based GNSS receivers and Low Earth Orbit (LEO) constellations offers an opportunity to extract physical insights into the ionosphere. However, many current analyses treat these datasets in isolation, focusing on geometry-specific inversion methods that limit the exploitation of their complementary information. In this work, we present a unified framework for reconstructing ionospheric electron density volumes by combining slant TEC observations from both ground-based and spaceborne receivers. Our approach relies on vertical parameterizations of the electron density profile, which we constrain horizontally through spatial interpolation and optimize via nonlinear fitting of …

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Hybrid Hierarchical Swarm Robots For Planetary Exploration, Eeman Abid Mar 2026

Hybrid Hierarchical Swarm Robots For Planetary Exploration, Eeman Abid

Student Research Symposium (SRS)

This project proposes a novel approach to planetary exploration utilizing a hybrid hierarchical swarm robotic system inspired by social insect colonies. The project will develop a centralized 'queen' robot that provides high-level direction to a team of semi-autonomous 'worker' robots, each capable of making local decisions while following the queen's strategic guidance. This structure aims to enhance adaptability and efficiency by balancing centralized coordination with decentralized execution. The approach aligns with NASA's CADRE mission, which uses coordinated rovers to map the lunar surface. By combining simulation in ROS2/Gazebo with physical testing on lunar regolith simulant, this research will evaluate how …

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Adaptive Lunar Landing Legs: Minimal Se(3) Modeling And Evidence Of Robustness On Slopes, Rithika Nagarajan Mar 2026

Adaptive Lunar Landing Legs: Minimal Se(3) Modeling And Evidence Of Robustness On Slopes, Rithika Nagarajan

Student Research Symposium (SRS)

Small lunar payloads must land safely on sloped, uncertain terrain but often cannot afford the mass and complexity of fully active landing gear; conversely, rigid passive legs offer limited stability margin. We evaluate a low-complexity alternative: passive–adaptive legs that retain a passive spring–damper architecture while scheduling per-leg stiffness and damping from only the local slope and vertical touchdown speed. A minimal SE(3) MATLAB simulator models a four-leg lander on plane terrain (0–30◦ about +y) with lunar gravity (1.62 m s−2), viscous tangential friction capped by a Coulomb limit (𝜇 = 0.6), and ode45 integration (time step ≈ 2 ms, horizon …

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Investigating T-Cell Responses In Simulated Space Flight, Graema Grainger Mar 2026

Investigating T-Cell Responses In Simulated Space Flight, Graema Grainger

Student Research Symposium (SRS)

In space flight, medication can be a large expense to take into space. Not only the weight but the conditions may cause some medication to expire on a long-term mission. This issue is compounded by how our immune systems decline in long term space exposure. It is important to understand in what ways the immune system is affected and why it’s happening. This study explores how space flight and gamma radiation cause inflammation and how neutrophil maturity and metabolic profile play a role in it. Space flight was simulated on 24-week-old mice, both male and female, in isolated, paired and …

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Bayesian Analysis Of Ngc 7789, Gabrielle Lavallee Mar 2026

Bayesian Analysis Of Ngc 7789, Gabrielle Lavallee

Student Research Symposium (SRS)

Accurately determining stellar parameters of star clusters is necessary for improving our understanding of stellar evolution as well as the star formation history of the Milky Way. This project investigates the precision and accuracy of age, distance, reddening, and metallicity for the open cluster NGC 7789 using the Bayesian Analysis of Stellar Evolution (BASE-9) software suite. During the first phase of the study, we ran individual stars through BASE-9 to derive posterior distributions for their stellar parameters. The second phase focuses on developing a Python-based graphical user interface (GUI) to aid in visualizing BASE-9 output files. The GUI generates scatter …

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Low Temperature Plasma Simulation Using The Lattice Boltzmann Method, Shepard Summers, Christopher Anderson Mar 2026

Low Temperature Plasma Simulation Using The Lattice Boltzmann Method, Shepard Summers, Christopher Anderson

Student Research Symposium (SRS)

Pulsed Low-Temperature Plasma (LTP) has become a subject of interest in various fields, including propulsion, material processing, and medical technology. LTP flows are challenging to accurately simulate due to their physical complexities and multiscale nature, spanning scales ranging from meters on the system level to nanoscale when investigating the interactions between ions and electrons. The conventional models for simulating LTP flow are not able to handle this wide range of scales in a computationally efficient manner. The Boltzmann method, which is rooted in kinetic theory rather than Newtonian, can efficiently tackle the multiscale properties of LTP flow by directly solving …

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Wolf-Rayet Astrophysics And Pulsations (Wrap): A Machine Learning Approach To Tess Observations For The Lmc, Kassidy Myers, Anthony Fabrega, Anthony Gilbert, William Punches, Bailey Wolf Mar 2026

Wolf-Rayet Astrophysics And Pulsations (Wrap): A Machine Learning Approach To Tess Observations For The Lmc, Kassidy Myers, Anthony Fabrega, Anthony Gilbert, William Punches, Bailey Wolf

Student Research Symposium (SRS)

The evolution of Wolf-Rayet (WR) stars is influenced by the star’s mass loss channel, either through stellar winds or binary evolution. Studying WR stars provides insight into the formation and evolution of massive stars. Binary WR systems, which are comprised of the WR star and a companion O-star, are of particular interest because they allow researchers to determine the mass of the WR star. The Large Magellanic Cloud (LMC) is an ideal hunting ground for such WR stars due to its low metallicity. In this work, we use NASA’s Transiting Exoplanet Survey Satellite (TESS) data to train a supervised machine …

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Designing For Trust: Evaluating The Conceptualizations Of Trust In Literature Towards Llm Design, Matthew Bernhardt Mar 2026

Designing For Trust: Evaluating The Conceptualizations Of Trust In Literature Towards Llm Design, Matthew Bernhardt

Student Research Symposium (SRS)

The rapid growth in popularity of artificial intelligence, especially large language models (LLMs), has fueled a widespread desire to harness this technology for a variety of purposes. There are, however, a variety of concerns surrounding the adoption of LLMs that warrant an examination of the factors that influence user trust in these technologies. This study conducts a literature review surrounding research on LLMs to evaluate the impact that various design features such as modality, user interface, anthropomorphism, and explainability have on user trust. During analysis of included articles, challenges surrounding the striking heterogeneity of definitions and measures used for trust …

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Sustainable Environmental Autonomous Litter-Cleaner Phase I (Seal), Andy Garcia, Nicholas Dolton, Salvatore Pizzurro, Mario Gutierrez, Christian Mackay, Braden Amoruso, Chirag Kumar, Jarrett Usui, Lingyuan Meng Mar 2026

Sustainable Environmental Autonomous Litter-Cleaner Phase I (Seal), Andy Garcia, Nicholas Dolton, Salvatore Pizzurro, Mario Gutierrez, Christian Mackay, Braden Amoruso, Chirag Kumar, Jarrett Usui, Lingyuan Meng

Student Research Symposium (SRS)

Harmful waste is prevalent all over the world, especially in publicly accessible tourist locations such as here in Daytona Beach. Sustainable Environment Autonomous Litter-Remover (SEAL) is intended to be a fully autonomous, all-terrain waste-sifting robot. SEAL’s main goal is to locate, navigate to, and remove harmful waste within GPS-inaccurate environments, and the environment we’ll be operating in will be sandy beaches near the coast. Using this environment for operation comes with the prominent challenge of localization, as there is a lack of significant features within the area and the area’s locale; therefore, localization tends to be extremely challenging as the …

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Physical And Physiological Profiles Of Competitive Fencers: A Systematic Review And Meta-Analysis Of Strength, Power, Endurance, Agility And Asymmetry, Joanna Motowidło, Miłosz Drozd, Petr Stastny, Dariusz T. Skalski, Izabella Socha, Adam Maszczyk Mar 2026

Physical And Physiological Profiles Of Competitive Fencers: A Systematic Review And Meta-Analysis Of Strength, Power, Endurance, Agility And Asymmetry, Joanna Motowidło, Miłosz Drozd, Petr Stastny, Dariusz T. Skalski, Izabella Socha, Adam Maszczyk

Baltic Journal of Health and Physical Activity

Background: Evidence on lower-limb strength, explosive power and bilateral asymmetry in competitive fencing is fragmented, and the relative impact of general neuromuscular capacity versus targeted training interventions remains unclear. The aim of this systematic review and meta-analysis is to provide a multidimensional, evidence-based synthesis of data on strength, power, and bilateral asymmetry of the lower limbs in professional fencers. Materials and methods: Following PRISMA 2020 (PROSPERO CRD420251041007), six databases were searched by 31 January 2025. Forty studies of fencers aged ≥ 12 years met the inclusion criteria. Three domain-specific random-effects meta-analyses (DerSimonian–Laird) were conducted: (1) integrated strength and power across …

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Differential Treatment Responses Among Comorbidity-Based Subgroups In Individuals With Autism Spectrum Disorder And Clinical Epilepsy, Jenna E. Franklin, Richard E. Frye Md, Phd Mar 2026

Differential Treatment Responses Among Comorbidity-Based Subgroups In Individuals With Autism Spectrum Disorder And Clinical Epilepsy, Jenna E. Franklin, Richard E. Frye Md, Phd

Cumberland Medica

Children with Autism Spectrum Disorder (ASD) have elevated rates of epilepsy, seizures, and abnormal electroencephalograms compared to the general population. Many also experience co-occurring comorbidities, which have been associated with epilepsy severity. Although various treatments have shown improvements in seizures and ASD symptomatology, there is limited research on how treatment effectiveness varies by comorbidity profiles. In this study, we characterized individuals with ASD and clinical seizures into specific patient cohorts based on comorbidities and evaluated the responses to traditional antiepileptic drugs (AEDs), non-AED seizure treatments, and non-traditional ASD interventions. Data were collected from a parent-reported, cross-sectional survey previously used to …

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Synthesis Of Biodegradable Nanofibers For The Increase Of Biosensor Sensitivity, Rahela A. Dolha Mar 2026

Synthesis Of Biodegradable Nanofibers For The Increase Of Biosensor Sensitivity, Rahela A. Dolha

Student Research Symposium (SRS)

The development and use of point-of-care (POC) biosensors is more widespread than ever. Their popularity provides opportunity for portable and cost-effective medical testing anywhere at any time. Results are rapid and continuous while maintaining a user-friendly interface. Unfortunately, their small size decreases sensor amplification and sensitivity/limit of detection, resulting in inaccurate measurements. In order to increase sensor sensitivity and amplification, this study optimizes the synthesis of an electrosprayed nanofiber matrix whose high surface area increases an inflammation sensor’s sensitivity and signal amplification. The nanofiber will be made of biodegradable materials such as chitosan and nanocellulose, and will contain PVA which …

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Development Of A Floating Potential Probe System For Plasma Potential Diagnostics In The Sail Plasma Jet Experiment, Rafael J. Larsen Zarzosa Mar 2026

Development Of A Floating Potential Probe System For Plasma Potential Diagnostics In The Sail Plasma Jet Experiment, Rafael J. Larsen Zarzosa

Student Research Symposium (SRS)

Understanding plasma behavior requires accurate measurement of electrical properties, such as the floating potential and plasma potential; the natural electric potential a conductive object acquires when immersed in plasma. This project, conducted in the Space and Atmospheric Instrumentation Laboratory (SAIL) at Embry-Riddle Aeronautical University, focuses on developing a diagnostic system to measure the floating-potential distribution across the plasma jet generated in the laboratory’s plasma chamber. A Floating Potential Probe Array (FPPA) has been developed to capture these spatial variations. To support this measurement, a high-voltage measurement circuit is currently being developed to safely scale and condition the plasma potential signals …

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An Investigation Of The Magneto-Active Propellant Slosh Control Mechanism For Cylindrical Tanks Using An Adaptive Magnetorheological Fluid Interface, Shaik Rayhan Anwar Mar 2026

An Investigation Of The Magneto-Active Propellant Slosh Control Mechanism For Cylindrical Tanks Using An Adaptive Magnetorheological Fluid Interface, Shaik Rayhan Anwar

Student Research Symposium (SRS)

Fluid slosh is the natural phenomenon describing fluids in a partially filled tank being acted upon by external forces which cause transient movement within the confined container. Propellant slosh has been a problem with spacecraft, restricting complete control of its stability, trajectory, and vehicle safety due to undesirable dynamic alterations. The Microgravity Lab at Embry-Riddle Aeronautical University (ERAU) has been working on solving this for 15+ years, opposing traditional passive approaches to opt for more active methods. This research focuses to further build upon the legacy project’s Magneto-Active Propellant Management Device (MAPMD) by reducing non-trivial mass penalties, removing computational structural …

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Yarkovsky Effect For Particles In Circumlunar Space, Rohith Vinnakota, Le Na Hoang Mar 2026

Yarkovsky Effect For Particles In Circumlunar Space, Rohith Vinnakota, Le Na Hoang

Student Research Symposium (SRS)

The concept of Kessler Syndrome concerns the eventuality that increasing amounts of “space junk” in orbit around Earth will inhibit our ability to safely launch spacecraft from the surface of the planet into orbit and/or deep space. While countermeasures are slowly being taken for Earth, this is still an issue that persists for other celestial bodies. One solution that shows promise for solving this problem is utilization of the Yarkovsky Effect, which theorizes that objects in orbit are perturbated by photons as a result of illumination from sunlight. Our goal in this study is to review the feasibility of applying …

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Stability Analysis Of The Essentially Entropic Lattice-Boltzmann Method For High Reynolds Number Turbulent Flows, Michael Derderian Mar 2026

Stability Analysis Of The Essentially Entropic Lattice-Boltzmann Method For High Reynolds Number Turbulent Flows, Michael Derderian

Student Research Symposium (SRS)

The Lattice Boltzmann Method (LBM) is an increasingly popular alternative to the Navier-Stokes equations due to its simplicity, scalability, and ease of parallel computing. However, single-relaxation-time formulation, known as the lattice Bhatnagar–Gross–Krook (LBGK) model, suffers from numerical instability at high Reynolds numbers where nonphysical negative particle distribution functions can arise. To address this limitation, a Lyapunov H-function can be added that mimics the second law of thermodynamics. This work uses the Essentially Entropic Lattice Boltzmann Method (ELBM) in which this H-function is estimated analytically in the collision term. This provides an enhanced numerical stability without significantly increasing computational cost. A …

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Designing Experiments To Identify Driver Cognitive States Using Eeg, Michael Culbertson, Poorendra P. Ramlall Mar 2026

Designing Experiments To Identify Driver Cognitive States Using Eeg, Michael Culbertson, Poorendra P. Ramlall

Student Research Symposium (SRS)

Understanding how mental states such as fatigue, workload, and engagement influence driving behavior is key to improving both road safety and the design of intelligent vehicle systems. With recent advances in portable electroencephalography (EEG) technology, it is now possible to study these cognitive states in realistic driving situations rather than only in clinical settings. In this ongoing research, we demonstrate how EEG data collected from human drivers can help identify and differentiate these mental states using data-driven analysis. An important part of this work is the experimental design. We describe how our driving experiments are carefully structured to create conditions …

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Radiation Station, Maybelline Flesher, Conner Callahan, Madison Smith, Elizabeth Emison, Ava Vazquez, Lily Caramagna, Jeremy Rice, Axon Deadrick, Demiya Wright, Rilie Nye, Anthony Raduazzo, Rowan Combs Mar 2026

Radiation Station, Maybelline Flesher, Conner Callahan, Madison Smith, Elizabeth Emison, Ava Vazquez, Lily Caramagna, Jeremy Rice, Axon Deadrick, Demiya Wright, Rilie Nye, Anthony Raduazzo, Rowan Combs

Student Research Symposium (SRS)

With the advent of the solar maximum and frequent coronal mass ejections, world governments are in search of mitigation and damage control methods in case of such an event. These methods could protect against communication disruptions, fried satellites, and destroy technology on Earth. Hazardous Materials (hazmat) teams and Emergency Medical Service (EMS) teams need to be protected from the many risks that could arise in the event of a high energy solar flare or coronal mass ejection. Testing different types of materials for the Personal Protective Equipment (PPE) of EMS workers is vitally important, especially with advancement of new materials …

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Bio-Integrated Adaptive Seat System For Real-Time Vibration Mitigation In Aviation Utilizing Deep Neural Networks, Tyler Campbell Mar 2026

Bio-Integrated Adaptive Seat System For Real-Time Vibration Mitigation In Aviation Utilizing Deep Neural Networks, Tyler Campbell

Student Research Symposium (SRS)

In the aviation industry, intense and prolonged vibrations during flight, particularly for seated individuals, induce whole-body vibrations. When these vibrations are on the lower spectrum (generally 1-20 Hz), they resonate with the human body’s natural biomechanical frequencies, causing certain parts of the body to undergo amplified stress. After long-term exposure, these amplified stresses can cause chronic health issues including spondylosis, vestibular dysfunction, oscillopsia, and hypertension. Beyond the chronic health implications, these vibrations also contribute to pilot fatigue, degraded visual perception, and can compromise mission effectiveness and flight safety. Current aviation systems utilize both passive (e.g., foams, material layering, etc.) and …

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Bio-Integrated Adaptive Seat System For Real-Time Vibration Mitigation In Aviation Utilizing Reinforcement Learning, Westin Volpe Mar 2026

Bio-Integrated Adaptive Seat System For Real-Time Vibration Mitigation In Aviation Utilizing Reinforcement Learning, Westin Volpe

Student Research Symposium (SRS)

In military and commercial aircraft, vibrational frequencies generated by component wear, propeller wake, engine shake, and aircraft turbulence have substantial effects on pilots and crew. Sustained exposure to high and low vibrational frequencies leads to hypertension, vertigo, osteoarthritis, lumbago, and mental fatigue, which become detrimental to operator’s ability to perform effectively. The current solutions rely on two systems, passive energy-absorbing cushions and semi-active force cancellation devices, which are sometimes used concurrently. The passive systems integrate traditional foam with materials that dissipate vibrational frequencies, such as memory foam or gel pads, and generally perform effectively. However, these solutions exhibit reduced performance …

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Paddle Mount And Orientation Dock, Diego Luna Roy Su, Junior Tangou, Leo Herrin, Omar Marquez, Sabrina Sinchuri, Diego Luna, Nathan Scalf Mar 2026

Paddle Mount And Orientation Dock, Diego Luna Roy Su, Junior Tangou, Leo Herrin, Omar Marquez, Sabrina Sinchuri, Diego Luna, Nathan Scalf

Student Research Symposium (SRS)

The servicing of spacecraft and other structures in microgravity requires the use of many tools. Current systems require repetitive action to install the tool to the dock, which can be cumbersome and quickly fatigue astronauts. The servicing of spacecraft and other systems in microgravity necessitates a robust device to mount tools to a tool dock. The 2026 NASA Micro-g NExT Challenge calls for a device to fit this need. Our tool mount proposal uses a spring-loaded snap-fit mechanism to securely attach tools to a tool dock. The docking system is made with aluminum 7075-T6 to balance weight, strength, and the …

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Eva Tool Passive Attachment Device, Olivia Tamer Mar 2026

Eva Tool Passive Attachment Device, Olivia Tamer

Student Research Symposium (SRS)

The Micro-Nauts, developed under NASA’s Micro-G NExT challenge, strive to positively impact lunar and deep space missions through extravehicular activities (EVA). As Aerospace Engineering students, they have the common passion of addressing real, current space exploration needs and gaining relevant engineering experience. The passive capture tool dock provides the durability, reliability, and ease that is necessary for all EVA’s that will take place in NASA’s upcoming Artemis missions. When a human is in a non-traditional environment performing highly important tasks, the last thing they want to do is struggle with a simple component that keeps their tools attached to them. …

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Edf Fdm For Mavs, Stanlie Cerda-Cruz, Ishai Masada Mar 2026

Edf Fdm For Mavs, Stanlie Cerda-Cruz, Ishai Masada

Student Research Symposium (SRS)

The increased accessibility of 3D printers allowed labs to research novel propulsion methods for Micro Arial Vehicles (MAVs), such as toroidal propellers and electric ducted fans (EDFs), both of which minimize the vortices produced by standard drone blades. Wingtip vortices lead to significant noise pollution, an environmental concern, and cause efficiency loss in propulsion, a problem for hobbyists or research groups. Other factors, such as wake contraction on open rotors, negatively affect the system's efficiency, all of which can be mitigated with EDFs. With the rapid expansion of small and micro-drone use, labs can benefit monetarily from manufacturing drone fans …

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Data Pipelines - The Superhighways Of Information, Zachary Knepp Mar 2026

Data Pipelines - The Superhighways Of Information, Zachary Knepp

GIS Technology Conference 2026

This presentation introduces data pipelines as essential for automated systems that manage the flow of data. The world is flooded with raw, messy data, and the use of data pipelines are a solution for collecting, cleaning, and delivering data for analysis. The presentation shows the usefulness of pipelines, such as ensuring data quality, improving efficiency, and enabling real-time insights. Data pipelines are a fundamental component of the modern digital world.

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Drawing Fair Lines: Open-Source Neighborhood Delineation For The Future Of Valuation, Will Jarvis Mar 2026

Drawing Fair Lines: Open-Source Neighborhood Delineation For The Future Of Valuation, Will Jarvis

GIS Technology Conference 2026

Neighborhoods remain the foundation of valuation. They shape how markets are modeled, how assessments are defended, and how taxpayers perceive fairness. Yet for most jurisdictions, neighborhood boundaries are still drawn manually, often relying on local knowledge and historical precedent. The result is uneven, subjective, and difficult to explain to the public. New advances in GIS and data science make it possible to do better. With algorithmic community detection methods, assessors can automatically generate neighborhoods that reflect how markets actually behave. Combined with open data sources like OpenStreetMap and free tools such as QGIS and GeoPandas, these techniques allow valuation professionals …

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Assessor's Rejoice - Do More With Less By Leveraging Gis, Linda Foster Pls, Gisp, Ana Rodriguez Mar 2026

Assessor's Rejoice - Do More With Less By Leveraging Gis, Linda Foster Pls, Gisp, Ana Rodriguez

GIS Technology Conference 2026

Do you constantly feel like you are being pressured to do more with less? Is there always more demand than there are resources? Come to this session to learn how GIS can help you do more with less in the assessor’s office. No time to catch up on the latest advancements in GIS? We’ve got you covered. You'll learn about how GIS can assist with parcel management, CAMA integration, value analysis, fair and transparent property valuation, and, of course, where AI fits into the picture. There’s something for everyone—whether you’re just starting out or have been using GIS for a …

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The Secret Sauce: How Philadelphia’S 600 Nested Geographic Market Areas Blend Human Judgment And Augmented Intelligence, Bindi Shakya Cpe, Msc, Jimmy Williams, Alex Raju Mar 2026

The Secret Sauce: How Philadelphia’S 600 Nested Geographic Market Areas Blend Human Judgment And Augmented Intelligence, Bindi Shakya Cpe, Msc, Jimmy Williams, Alex Raju

GIS Technology Conference 2026

As we all know, in our industry, it’s all about location, location and location. Philadelphia’s Geographic Market Areas (GMAs) exemplify what we call Augmented Intelligence—the fusion of human expertise and analytical systems to map how real markets behave. Rather than relying on automated clustering or static neighborhood definitions, Philadelphia’s GMAs are built through iterative collaboration between the Mass Appraisal (Modeling) team, Property Evaluators, GIS dept, and management, supported by regression feedback, data analysis, and geo-visual dashboards. Emerging from the informed judgment of evaluators, supervisors, and administrators, these market areas formalize decades of local expertise into a structured, data-driven geography—bridging human …

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Building Trust Through Outreach: The Skagit County Experience, Danny Hagen Mar 2026

Building Trust Through Outreach: The Skagit County Experience, Danny Hagen

GIS Technology Conference 2026

Property assessment is often seen as a technical, back-office function — until taxpayers receive their value notices. At that point, communication and trust matter as much as statistical accuracy. This session will highlight practical outreach strategies from Skagit County, Washington, where the Assessor’s Office has rebuilt its approach to public engagement. From senior exemption workshops and online portals to community presentations, social media, and partnerships with local councils, we’ll explore how proactive communication can reduce appeals, improve transparency, and build long-term public trust. Participants will leave with a playbook of strategies for engaging their own communities, tailored to different audiences …

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Metabolomics In Precision Medicine: Application And Prospect In Cancer Research, Ming-Shi Shiao Mar 2026

Metabolomics In Precision Medicine: Application And Prospect In Cancer Research, Ming-Shi Shiao

Journal of Food and Drug Analysis

Metabolomics is the most recent and final discipline among the post-genomic, multiomics fields. It encompasses key technologies in systems biology, providing an overview of low-molecular-weight metabolites while examining disturbances to offer pathophysiological explanations. The two key analytical tools in metabolomics are nuclear magnetic resonance spectroscopy and mass spectrometry, which includes gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. Metabolomic research relies on a three-stage data generation process: the first stage involves precise analytical chemistry to produce data; the second stage employs multivariate statistical analysis; and the last stage uses big data as a reference for comparison to establish biochemical, metabolic, and …

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