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Articles 27331 - 27360 of 1815515
Full-Text Articles in Entire DC Network
Redesigning A Fitness App Interface For Physiological Constrained Users*, Joseph E. Manzanillo
Redesigning A Fitness App Interface For Physiological Constrained Users*, Joseph E. Manzanillo
Campus Research Month
As fitness tracking converges with medical monitoring, inclusive design becomes a matter of health equity. This research utilizes a Polar Beat redesign to address exclusionary "sporty" aesthetics that can exclude 300 million colorblind users. Based in Human-Computer Interaction (HCI), the study implements WCAG AA standards and color-blind-verified filters to mitigate data loss during Situational Induced Impairment (SIID), when high-intensity exercise compromises cognitive and visual processing. By optimizing user journeys for Paralympic and geriatric archetypes, this work demonstrates that accessibility is the essential bridge transitioning mobile fitness apps into viable, inclusive instruments for clinical medical use.
Indexed Concatenation (I-Cat): A Method For Representing And Operating On Repeating Numbers*, Abigail Touma, Isaac Wolford
Indexed Concatenation (I-Cat): A Method For Representing And Operating On Repeating Numbers*, Abigail Touma, Isaac Wolford
Campus Research Month
Our research presents Indexed Concatenation (I-Cat) notation as a structured way to represent numbers with repeating patterns, including both decimals and whole numbers. Instead of treating expressions like 0.333... or 735735735 as unstructured expansions, they are rewritten as compact repeating objects called I-Cats. The presentation demonstrates how arithmetic operations, including addition and multiplication, can be performed using hypothesized rules such as the "U = M/C" method, unpacking, and carry propagation. Examples progress from simple conversions and multiplication by integers to the multiplication of two I-Cats. A live visual demonstration will show how standard numerics transform into I-Cat form and how …
Which Is The Most Effective Study Break: Movement, Media, Or Rest?*, Emily R. Grant, Kalla Carballo, Aislin Robinson
Which Is The Most Effective Study Break: Movement, Media, Or Rest?*, Emily R. Grant, Kalla Carballo, Aislin Robinson
Campus Research Month
College students frequently incorporate breaks of various types into their study sessions; however, limited research has examined how different types of breaks affect memory retention. The proposed study will examine how exercising, spending time on social media, or participating in quiet rest affect delayed recall among undergraduate college students. The study predicts that students who participate in an exercise break will show improved memory retention, while students who are exposed to social media will experience reduced memory retention. The study also hypothesizes that students who are assigned to the quiet rest condition will demonstrate no significant change in retention. Undergraduate …
A Strategic Roadmap For Assessing And Educating On Personal Cybersecurity Practices In Universities*, Ryan Lopez, Ysani Peña
A Strategic Roadmap For Assessing And Educating On Personal Cybersecurity Practices In Universities*, Ryan Lopez, Ysani Peña
Campus Research Month
Universities face a common cybersecurity threat: their own users. Although organizations may meet compliance standards and implement robust security infrastructures, the individual user remains the weakest link. This is particularly evident in higher education institutions, where both students and employees are frequent targets of cyber threats due to a lack of cybersecurity awareness. This paper proposes a strategic roadmap for assessing university student bodies and employee populations through cybersecurity domains that directly affect personal cyber hygiene awareness and practice.
Our proposed roadmap was validated in a U.S. university by using a domain-focused survey and simulated phishing campaigns. After the identification …
Sau Physical Activity Website (Paw)*, Lisbette Sanchez, Alberto Elizondo, Caleb Tenold, Evelyn Shtereva, Siegwart Mayr
Sau Physical Activity Website (Paw)*, Lisbette Sanchez, Alberto Elizondo, Caleb Tenold, Evelyn Shtereva, Siegwart Mayr
Campus Research Month
Problem: Southern’s Physical Activity Website (PAW) used to track physical activity from students and faculty was no longer functional. Aside from unsupported API versions, there was also an issue with authorization and role assignments.
Solution: Southern’s Center for Innovation and Research in Computing (CIRC) adopted the assignment of restructuring a new web application to track physical activity. This project focuses on building a secure and scalable architecture that connects user devices, third-party fitness APIs, and a centralized database to support activity tracking, workout analysis, and fitness history. By combining modern web development practices with API integration and backend data processing, …
Gci #282: Phoenix-Cracker V2.0 Hydrodynamic Cavitation Reactor, Michael Victor Caldwell Mr.
Gci #282: Phoenix-Cracker V2.0 Hydrodynamic Cavitation Reactor, Michael Victor Caldwell Mr.
Defensive Publications Series
GCI #282 Phoenix-Cracker v2.0 mounts as the Car B reactor module on the GCI Universal Conditioning Train chassis. It is designed for the 80°C bulk conversion of clean PE/PP waste and waste motor oil (3:1 ratio) into high-purity synthetic diesel (C10–C20).
Physics: The GCI #18 J-Groove Manifold accelerates the pressurized slurry through a Tungsten Carbide Venturi Nozzle. This creates hydrodynamic cavitation "hotspots" (>5,000 K) that enable non-equilibrium polyolefin scission without 400°C+ pyrolysis. H-ZSM-5 Zeolite bed performs molecular polishing.
Towards Physics-Informed Neural Networks For Simulating Multiphase Geothermal Convection*, Daniel C. Patton, Andrew Harrison Eno
Towards Physics-Informed Neural Networks For Simulating Multiphase Geothermal Convection*, Daniel C. Patton, Andrew Harrison Eno
Campus Research Month
Water and steam flow through porous rock, transferring heat via conduction and buoyancy-driven convection caused by density differences. Traditional numerical methods (finite-volume/finite-element) model this well but can become memory-intensive and unstable for long, high-detail simulations. This work demonstrates a Physics-Informed Neural Network (PINN) using a finite-difference approach within the NVIDIA PhysicsNeMo framework to simulate magma chambers in 2D. Tested on the Rio Pisco pluton in Peru, results are compared with the USGS HYDROTHERM model. PINNs learn from physical laws, offering accurate, flexible solutions with less data and development effort.
Gci #281 — Lazarus-Train V2.0, Michael Victor Caldwell Mr.
Gci #281 — Lazarus-Train V2.0, Michael Victor Caldwell Mr.
Defensive Publications Series
The Lazarus-Train is a complete, open-source research platform combining three proven technologies—helical vortex preconditioning, 33 MHz traveling surface acoustic wave (TSAW) pathogen disruption, and magnetic nanoparticle trapping—into a modular skid-mounted system for biofluid conditioning studies. Unlike conventional size-based filtration (ECMO, dialysis), this physics-based approach achieves >90% particle separation with < 2% hemolysis through density-selective acoustic lysis and continuous-flow magnetic cleanup.
Key Innovation: First integration of J-Groove vortex de-agglomeration (GCI #18), TSAW additive-free lysis on LiNbO3 substrate, and Permalloy antidot arrays for viral debris capture—all controlled by Arduino with hard safety interlocks. Total build cost: $2,475 using commercial off-the-shelf components. Complete assembly: 3.5 hours. TRL 5 (lab-validated integration ready).
The Linchpin Protocol:, Jonathan S. Baker
The Linchpin Protocol:, Jonathan S. Baker
Defensive Publications Series
1. Abstract Traditional digital authentication relies on static biometric templates, rendering systems critically vulnerable to advanced generative simulation and data exfiltration. Ethelgard LLC presents the Linchpin Protocol: a decentralized, hardware-anchored identity infrastructure utilizing Dynamic Biometric Entropy (DBE). By synthesizing real-time physiological telemetry—specifically Non-Linear Heart Rate Variability (HRV)—into ephemeral cryptographic session keys, the protocol eliminates biological data persistence. The framework is sustained by a continuous "Tri-Harvesting" power architecture, featuring a textile-embedded, AMC-isolated rectenna array for ambient RF and thermal energy capture. Operating autonomously from grid power, the Ethelgard interface executes Zero-Knowledge Proofs (ZK-SNARKs) for secure, on-ledger (XRPL) human authentication …
Towards The Synthesis Of Soluble Benzophosphole Oxides Via Addition Of Amine Groups*, Nema Ogal
Towards The Synthesis Of Soluble Benzophosphole Oxides Via Addition Of Amine Groups*, Nema Ogal
Campus Research Month
Benzophospholes possess unique properties that make them useful across a wide range of chemical applications, particularly in materials chemistry. Solubilizing benzophosphole oxides would be especially useful in advances in medicinal chemistry. This research is designed to improve the solubility of benzophosphole oxides by adding amino groups which could be protonated and turned to salt. Their synthesis is an ongoing process with many intricate steps, but ultimately very practical outcomes in the filed of organochemistry.
Gci Universal Conditioning Train, Michael Victor Caldwell Mr.
Gci Universal Conditioning Train, Michael Victor Caldwell Mr.
Defensive Publications Series
The GCI Universal Conditioning Train is a hypothetical, skid-mounted pretreatment platform intended to make difficult liquid streams easier, safer, and cheaper to process downstream. The concept is not presented as a proven refinery replacement, a direct fuel-maker, or a patented commercial product. It is an online invention proposal being passed on for real-world build and test evaluation by qualified engineers.
The system is designed to condition dirty liquid streams such as used oil, oily wastewater, sewage-adjacent waste, grease-laden water, and industrial sludge. Its purpose is to improve separability, reduce fouling, release trapped water and solids, and lower the burden on …
Revisiting Quantum Foundations: Deriving The Klein-Gordon-Fock Equation Without Axiomatic Postulates*, Joshua Lohr, Vola Andrianarijaona, Anton A. Lipovka
Revisiting Quantum Foundations: Deriving The Klein-Gordon-Fock Equation Without Axiomatic Postulates*, Joshua Lohr, Vola Andrianarijaona, Anton A. Lipovka
Campus Research Month
This paper presents a derivation of the Klein-Gordon-Fock equation from first principles. The proposed method eliminates the need to axiomatically postulate wave functions or equation coefficients. Instead, the derivation is performed on an adiabatically variable manifold, locally described by the Friedman-Robertson-Walker metric, incorporating complete electrodynamics. In this framework, the transverse electromagnetic field quantizes due to adiabatic changes in the metric tensor, with Planck's constant serving as its adiabatic invariant. Consequently, wave functions naturally emerge as eigenfunctions of a Sturm-Liouville problem used to expand the electromagnetic field.
Gci #280 – Vortex Atmospheric Reclamator (Var), Michael Victor Caldwell Mr.
Gci #280 – Vortex Atmospheric Reclamator (Var), Michael Victor Caldwell Mr.
Defensive Publications Series
GCI #280, the Vortex Atmospheric Reclamator (VAR), is an open-hardware concept for decentralized atmospheric water harvesting. It combines vortex-assisted airflow management, passive radiative cooling, droplet-shedding condensation surfaces, integrated purification, and layered safety control to produce potable water from ambient air without compressor-based refrigeration.
This document is an online-only conceptual disclosure. It is not a patent, not a commercial product, and not a claim of validated field performance. It is published so real-world engineers, makers, humanitarian teams, and researchers can evaluate the idea, build prototypes, and test whether it performs better than current systems in the real world.
Vortex-Brain Atlas, Michael Victor Caldwell Mr.
Vortex-Brain Atlas, Michael Victor Caldwell Mr.
Defensive Publications Series
Vortex-Brain Atlas is an open, modular AI workflow platform that converts a large invention portfolio into a real-world prototype roadmap. It ingests technical disclosures, cross-links reusable engineering modules, flags unsupported claims, and generates build, test, safety, and handoff documentation for engineers or other AI systems.
The purpose of the system is to reduce context loss, speed prototype development, improve criticism resistance, and make large invention portfolios easier to validate in the real world. It is designed for use across medical, vortex, cryogenic, water, energy, and control-system inventions.
This concept does not claim magical self-improvement, autonomous invention, or guaranteed success. It …
Gci #278 — Helium-Sparing Multi-Stage Vortex Cryocooling Stack With Modular Geometry And Arachne Thermal Interface, Michael Victor Caldwell Mr.
Gci #278 — Helium-Sparing Multi-Stage Vortex Cryocooling Stack With Modular Geometry And Arachne Thermal Interface, Michael Victor Caldwell Mr.
Defensive Publications Series
This disclosure describes a prototype-viable, nitrogen-class cryocooling system designed to reduce helium consumption and improve thermal stability for high-temperature superconducting (HTS) loads. The system combines staged Ranque–Hilsch vortex separation, spiral/tangential inlet geometry, modular flange construction, and a microfluidic Arachne-style thermal spreader. All geometry is defined using dimensionless design heuristics to enable rapid prototyping and tuning. The system is physically plausible and buildable using standard cryogenic hardware and CNC machining. Final temperature performance must be verified experimentally.
Solid State Forms Of (4as,6r,8as)-4a,5,9,10,11,12-Hexahydro-3-Methoxy-11-Methyl-6h-Benzofuro[3a,3,2-Ef][2]Benzazepin-6-Benzoate Gluconate, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan; Sagyam Rajeshwar Reddy; Kammari Bal Raju; Abhijit Garai; Uppalanchi Srinivas; Manda Ananth Reddy; Revu Satyanarayana; Nakka Mangarao
Solid State Forms Of (4as,6r,8as)-4a,5,9,10,11,12-Hexahydro-3-Methoxy-11-Methyl-6h-Benzofuro[3a,3,2-Ef][2]Benzazepin-6-Benzoate Gluconate, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan; Sagyam Rajeshwar Reddy; Kammari Bal Raju; Abhijit Garai; Uppalanchi Srinivas; Manda Ananth Reddy; Revu Satyanarayana; Nakka Mangarao
Defensive Publications Series
A solid state forms of (4aS,6R,8aS)-4a,5,9,10,11,12-hexahydro-3-methoxy-11-methyl-6H-benzofuro[3a,3,2-ef][2]benzazepin-6-benzoate gluconate.
Sentinel-Vortex Bio-Processor V4.0: Passive, Fanless Urine-Air Separator For Microgravity Eclss, Michael Victor Caldwell Mr.
Sentinel-Vortex Bio-Processor V4.0: Passive, Fanless Urine-Air Separator For Microgravity Eclss, Michael Victor Caldwell Mr.
Defensive Publications Series
The Sentinel-Vortex Bio-Processor is a production-ready, no-moving-parts replacement for NASA's Universal Waste Management System (UWMS) dual-fan urine separator, eliminating mechanical failure points while achieving 1.1% air entrainment (target ≤1.2%) across 25-2000mL flow range.
Core Innovation: Frustoconical vortex chamber (D=150→80mm, 30° taper) driven by cabin pressure differential only (20-101 kPa). Adaptive preflush (1-3s, 10m/s air via 35° PEEK swirl vanes) guarantees vortex stability, solving documented microgravity low-flow collapse. SiO₂-PDMS superhydrophobic coating (>155° contact angle) enables self-cleaning with crew recoat kit (12 min/6 months).
Mass-Imaging Computers Over A Network For Southern's Information Technology Office*, Zane C. Meyers, Nicolas R. Goslee
Mass-Imaging Computers Over A Network For Southern's Information Technology Office*, Zane C. Meyers, Nicolas R. Goslee
Campus Research Month
Our research was meant to save time for Southern's IT department by researching and documenting a way to mass image computers in batches at a time over the network. The poster includes a introduction to our project, the research and testing process, and the results and conclusions drawn from this.
Chat Component For Php Web Apps*, Linton W. Feitosa, Caleb N. Hoffman
Chat Component For Php Web Apps*, Linton W. Feitosa, Caleb N. Hoffman
Campus Research Month
Chat rooms are a common feature in much of today's software. While many web applications could benefit from them, developing individual chat implementations can be repetitive and time consuming. Furthermore, publicly available and integrable chat components are difficult to find.
We created a general-use chat component for PHP web applications using the Yii2 framework. Our component features chat rooms, asynchronous messaging, and contact management. It is widely applicable, customizable, documented, and can be easily extended by future developers.
The Cake Is A Lie: Hid Wireless Adapter*, Andrew J. Patton, Benjamin Chant
The Cake Is A Lie: Hid Wireless Adapter*, Andrew J. Patton, Benjamin Chant
Campus Research Month
This project explores converting wired Human Interface Devices (HID) into wireless devices by creating an adapter. Devices without wireless chips or dongles are hindered when flexibility is required, creating electrical waste. Our solution consists of a Transmitter (TX) and Receiver (RX) device pair and is designed to wirelessly bridge USB input from an HID device to a target host.
Calculating Potential Energy Curves Of Molecular Hydrogen And Its Ion Using Psi4 For Blinc Fusion Applications*, Angelina Castillo, Oscar Coral, Canaan Hercules, Blake Laing, Vola Andrianarijaona
Calculating Potential Energy Curves Of Molecular Hydrogen And Its Ion Using Psi4 For Blinc Fusion Applications*, Angelina Castillo, Oscar Coral, Canaan Hercules, Blake Laing, Vola Andrianarijaona
Campus Research Month
Southern Adventist University’s Beamline for Ionic and Neutral Collisions (BLINC) is investigating the interactions between hydrogen molecules and fusion particles. To perform in-house theoretical calculations, the BLINC Theory and Analysis Group is testing Psi4 as a viable computational method for BLINC fusion research. Successful calculations of the potential energy curves and dissociation energies of H2 and H2+ have been completed and compared to known values. Preliminary results align with known values, demonstrating Psi4’s potential for BLINC research. Future work will focus on the vibrational energies, wavefunctions, and transition probabilities of H2 and H2+.
Construction Of Alkali Oven For Charge Transfer Collisions In Beamline Applications*, Benjamin D. Chun, Oscar T. Coral, Gabriella Kim, Naomi Munyaka, Vola Andrianarijaona
Construction Of Alkali Oven For Charge Transfer Collisions In Beamline Applications*, Benjamin D. Chun, Oscar T. Coral, Gabriella Kim, Naomi Munyaka, Vola Andrianarijaona
Campus Research Month
This work presents the desig and development of an alkali metal oven used for charge-transfer collision experiments within the Beamline for Ionic and Neutral Collisions (BLINC) at Southern Adventist University. This oven is engineered to produce a stable and controllable alkali vapor source (K/Cs), enabling interactions between the H2+ ions and neutral alkali atoms for the study of rovibrational energy transfer.
The alkali metal oven was designed to be modular to switch out different capillary designs for diverse vapor release into the beamline. This system was designed using SolidWorks and fabricated through CNC machining, with particular emphasis on thermal wiring …
Towards Smaller Artificial Neural Network Using Mean Compression*, Michael D. Burks, Matthew K. Chuhng
Towards Smaller Artificial Neural Network Using Mean Compression*, Michael D. Burks, Matthew K. Chuhng
Campus Research Month
Artificial Neural Networks (ANNs) require substantial memory and computational resources, limiting their deployment on resource-constrained devices. Our contribution is a compression method using Mean Compression (MC) to reduce ANN size while preserving functionality and accuracy. MC consolidates connections with similar edge weights into meta-nodes with averaged values. Unlike traditional pruning that only removes connections among neurons, MC restructures networks by recomputing weights and creating meta-nodes. Additionally, unlike fixed pruning thresholds, MC uses flexible weight range patterns. Applied to multilayer perceptron (MLP), ANNs are made more accessible for deployment on constrained devices as proven in several experiments. Specifically, across five classification …
Code Visualizer: An Interactive Code Visualization Tool, Tadd Trumbull
Code Visualizer: An Interactive Code Visualization Tool, Tadd Trumbull
Campus Research Month
Code Visualizer is a web-based, interactive algorithm visualization tool designed to help introductory computer science students develop a deeper understanding of array searching and sorting algorithms. Code Visualizer presents a step-by-step simulation environment built on a restricted Python subset, which allows students to observe array traversal, index manipulation, and algorithmic operations in real time. The tool features two learning modes: View Mode and Predict Mode. The underlying architecture utilizes a behavioral software design pattern called command pattern.
Energy Scaling And Frequency Ratios Of Particles And Constants, Alison Christina Menzmer, Donald Chakeres, Vola Andrianarijaona
Energy Scaling And Frequency Ratios Of Particles And Constants, Alison Christina Menzmer, Donald Chakeres, Vola Andrianarijaona
Campus Research Month
We are exploring quantum aspects of various physical quantities (including Bohr radius, Rydberg constant, Planck time, and Hubble constant) and mass energies of elementary particles (including electron, neutron, and quarks). We express all physical units in an energy equivalence in Hertz, normalized to 1 Hz. Furthermore, the logarithms of these normalized energies are scaled by the logarithm of a chosen particle, which allows the generation of an Arrhenius plot exhibiting numerical structures. Our results presented in this poster show that the proton is a good candidate for an Arrhenius plot with partial fractions (1 + 1/n) and (1 - 1/n).
Tensegrity Across Biological Scales, V. M. Andrianarijaona
Tensegrity Across Biological Scales, V. M. Andrianarijaona
Campus Research Month
Over the past two decades, biology has undergone a profound conceptual shift. Living systems are no longer viewed strictly as biochemical networks; they are now understood as mechanically integrated, energy-dissipating, nonequilibrium systems governed by physical laws. Tensegrity—structural stability derived from a balance of pre-stressed tension and compression—provides the essential linking framework between molecular architecture and organismal function. This approach moves beyond "chemistry-only" models to explain how biological integrity and "mechanotransduction" (the conversion of physical force into biochemical signals) emerge from hierarchical, force-regulated networks.
Developing A Workforce To Build A Star On Earth, Vola Andrianarijaona, Angelina Castillo, Sean Walters
Developing A Workforce To Build A Star On Earth, Vola Andrianarijaona, Angelina Castillo, Sean Walters
Campus Research Month
This study is meant to help understand why fusion has remained "30 years away" for decades and why that may finally be changing.We see nuclear fusion not merely as a physics phenomenon, but as a complex engineering challenge requiring coordination across different disciplines, including physics, materials science, electrical and mechanical engineering, systems engineering, robotics, and computer science, etc. Indeed, nuclear fusion is not just about "making atoms fuse"—it's about controlling, powering, measuring, and stabilizing one of the most extreme environments humans have ever built. Advances in superconducting magnets, new materials are bringing fusion closer to reality than ever before, and …
The Hartree-Fock Method: Quantum Theory To Python Code, Joshua Lohr
The Hartree-Fock Method: Quantum Theory To Python Code, Joshua Lohr
Campus Research Month
This poster presents a Restricted Hartree-Fock (RHF) program that solves the Roothaan-Hall equations within a finite basis set. Starting from an initial guess density, the Fock matrix is constructed via Coulomb and Exchange contributions. The resulting pseudo-eigenvalue problem is solved iteratively until self consistency. The electronic energy of water was calculated using the STO-3G basis set and validated against PySCF as a reference.
Ion Exchange Filter Monitoring, Thomas G. Hoffman
Ion Exchange Filter Monitoring, Thomas G. Hoffman
Defensive Publications Series
In some examples, a system includes a fluid line, an ion exchange filter configured to remove at least one contaminant from a fluid in the fluid line, an ultraviolet source, and an ultraviolet detector. The ultraviolet source is configured to direct ultraviolet light toward the fluid. The ultraviolet detector includes an ultraviolet transparent window and an ultraviolet sensor configured to detect the ultraviolet light transmitted through the fluid and across the ultraviolet transparent window. The ultraviolet source and the ultraviolet detector are downstream of the filter. The system further includes processing circuitry configured to receive a signal from the ultraviolet …
Motion: A Bounded Nonlinear Phase Controller Formulated As A Port-Hamiltonian System On Compact Manifolds, Olexandr Lozovyi
Motion: A Bounded Nonlinear Phase Controller Formulated As A Port-Hamiltonian System On Compact Manifolds, Olexandr Lozovyi
Defensive Publications Series
This disclosure presents a novel nonlinear phase-based control architecture, termed MOTION, designed for energy-efficient actuation on compact manifolds $S^1$ and $T^N$. Unlike traditional PID controllers that rely on artificial clamping, MOTION utilizes a sinusoidal control law $u = -K \sin(\Delta\varphi)$ to achieve intrinsic effort bounding. The closed-loop system is formally derived as a dissipative port-Hamiltonian system, enabling rigorous verification of almost-global asymptotic stability (AGAS), input-to-state practical stability (ISpS), and incremental stability via contraction analysis. A key technical contribution is the FPU-free, 16-bit integer implementation optimized for embedded microcontrollers, demonstrating a 30.8% reduction in control effort ($\int U^2 dt$) compared to …