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Dispersive Shock And Rogue Waves In Two-Dimensional Quantum Droplets, Farhana Bristy Apr 2026

Dispersive Shock And Rogue Waves In Two-Dimensional Quantum Droplets, Farhana Bristy

Miners Solving for Tomorrow Research Conference

Quantum droplets, are liquid type configurations stabilized by the balance between attractive mean-field interactions and repulsive quantum fluctuations. They provide highly flexible platforms for the quantum simulation of hydrodynamic phenomena using ultracold gases. Here, we explore the nonlinear quantum dynamics of two-dimensional quantum droplets under Riemann initial conditions. The steepness of the latter facilitates the emergence of radially symmetric dispersive shock waves (DSWs) when quantum fluctuations dominate. In particular, the ensuing DSWs travel from the potential edges toward the center where they collide and through their interference high amplitude spatially localized rogue wave structures emerge. In contrast, tuning the interactions …

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Distributed Control Plane For Cross-Silo Federated Learning, Rabin Pandey Apr 2026

Distributed Control Plane For Cross-Silo Federated Learning, Rabin Pandey

Miners Solving for Tomorrow Research Conference

Cross-silo federated learning (FL) trains shared models across geographically distributed institutions without centralizing raw data, but its reliance on wide-area networks makes round completion time highly sensitive to heterogeneous link conditions, congestion, and straggler clients. Existing SDN-based FL frameworks address this through centralized traffic engineering, an approach that breaks down when silos span independent administrative domains where no single entity can maintain complete, timely network knowledge. We replace the centralized control plane with a fully distributed overlay in which each silo gateway operates as an equal peer, continuously probing local links, exchanging EWMA-smoothed metrics via bounded gossip, and computing least-cost …

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Transition Metal Chalcogenide As Multifunctional Biosenser To Detect Neurochemicals, Amitav Sen Apr 2026

Transition Metal Chalcogenide As Multifunctional Biosenser To Detect Neurochemicals, Amitav Sen

Miners Solving for Tomorrow Research Conference

The development of highly sensitive real-time sensing platforms for selectively detecting dopamine (DA) and norepinephrine (NE) is of significant clinical importance since these are closely associated with several neurodegenerative disorders. Herein, we report copper telluride (Cu₂Te) nanostructure as a bifunctional electrocatalyst for the simultaneous detection of dopamine and norepinephrine. Cu₂Te exhibits excellent electrocatalytic activity toward both DA and NE oxidation, as demonstrated by detailed electrochemical measurements. High sensitivities of 24 and 40 µA cm⁻² µM⁻¹ for DA and NE, respectively, were obtained with a wide linear detection range of 10–200 nM and low limit of detection (LOD), 31 nM for …

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Robustness Of Fuzzy Artmap To Adversarial Attacks And Progressive Adversarial Training For Streaming Learning, Shane Cairns Apr 2026

Robustness Of Fuzzy Artmap To Adversarial Attacks And Progressive Adversarial Training For Streaming Learning, Shane Cairns

Miners Solving for Tomorrow Research Conference

Incremental learners deployed on streaming data must remain robust to evolving adversarial perturbations, yet most adversarial-robustness studies assume offline multi-epoch training with repeated access to historical data. We investigate adversarial robustness in Fuzzy ARTMAP, a prototype-based Adaptive Resonance Theory model that supports single-pass learning without replay. We propose WB-Softmax, a differentiable relaxation that aggregates category-level activations into class-level scores for gradient-based attacks. WB-Softmax PGD achieves 89–100% attack success on vanilla models, exceeding transfer and query-based baselines. We then study adversarial training under true streaming constraints by comparing offline versus online adversarial example generation and standard versus selective updates. Offline adversarial …

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Controlled Gelation Of Co₂-Resistant Polymer Systems For Improved Conformance In Co₂-Eor, Maryam Sharifi Paroushi Apr 2026

Controlled Gelation Of Co₂-Resistant Polymer Systems For Improved Conformance In Co₂-Eor, Maryam Sharifi Paroushi

Miners Solving for Tomorrow Research Conference

This presentation introduces a CO₂-resistant hydrogel developed to control fluid movement and improve CO₂ injection performance in subsurface reservoirs for Enhanced Oil Recovery (EOR) and Carbon Capture and Storage (CCS). Conventional polymer gels often lose strength in CO₂-rich environments, resulting in weak plugging, early breakdown, and ineffective flow control. To address this limitation, a sulfonated HPAM-based gel system crosslinked with chromium was developed. The effects of polymer concentration, molecular weight, crosslinker ratio, ionic strength, and pH were investigated to better understand gelation behavior and performance. The formulation exhibited controlled gelation, strong resistance to temperature and CO₂, and minimal shrinkage over …

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Literature Review Of Local Culture-Based Mathematics E-Module With Islamic Values In Probability, Maya Puspita Sari, Surya Sari Faradiba Apr 2026

Literature Review Of Local Culture-Based Mathematics E-Module With Islamic Values In Probability, Maya Puspita Sari, Surya Sari Faradiba

Jurnal Pendidikan Sains

This study is grounded in the need to address the limitations of probability learning that is often procedural, decontextualized, and disconnected from students’ cultural and religious values. It aims to develop a comprehensive understanding of how local cultural contexts and Islamic values can be systematically integrated into mathematics e-modules, particularly for probability learning, and to formulate structured design principles and quality indicators for their development. This paper adopts a Systematic Literature Review (SLR) approach by analyzing empirical studies published between 2020 and 2025, using a structured selection process involving identification, screening, eligibility, and inclusion stages. A total of 11 high-quality …

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Augmented Reality In Physics Learning: Trends, Development Patterns, And Instructional Practices From Systematic Literature, Muhammad Musyaddad, Achmad Samsudin, Duden Saepuzaman, Ahmad Aminudin, Nisaul Afifah Apr 2026

Augmented Reality In Physics Learning: Trends, Development Patterns, And Instructional Practices From Systematic Literature, Muhammad Musyaddad, Achmad Samsudin, Duden Saepuzaman, Ahmad Aminudin, Nisaul Afifah

Jurnal Pendidikan Sains

This study examines recent developments in the use of augmented reality (AR) in physics education within the evolving landscape of educational technology. The aim is to provide a comprehensive mapping of research trends, pedagogical approaches, and methodological characteristics of AR-based physics learning. Following PRISMA guidelines, a systematic search across four major databases identified 62 eligible studies published over the past five years. The findings reveal a consistent pattern in which AR is primarily used to support conceptual understanding of abstract physics topics, particularly electricity, mechanics, and magnetism, through inquiry-based and laboratory-oriented learning approaches. These implementations are commonly developed using systematic …

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Reading Literacy Research Trends In Science Learning (2015–2025), Siwi Handayani, Siswanto Siswanto, Rina Rahayu Apr 2026

Reading Literacy Research Trends In Science Learning (2015–2025), Siwi Handayani, Siswanto Siswanto, Rina Rahayu

Jurnal Pendidikan Sains

This study aims to analyze research trends in reading literacy within science learning from 2015 to 2025 through a Systematic Literature Review (SLR) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The initial screening of 150 articles from the WoS Core Collection and SINTA databases yielded 29 articles that met the inclusion criteria. The analysis focused on publication dynamics, contributing countries, participant characteristics, research variables, and the science subjects investigated. The findings indicate that research on reading literacy in science learning remains limited and shows fluctuating development. Most publications originate from national journals indexed by SINTA, …

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Ais26s: Genai And Llms For Cybersecurity, Political Sciences, Transportation Security, And Resiliency, Latifur Khan Apr 2026

Ais26s: Genai And Llms For Cybersecurity, Political Sciences, Transportation Security, And Resiliency, Latifur Khan

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation examines the role of generative artificial intelligence (GenAI) and large language models (LLMs) in addressing complex challenges across cybersecurity, political science, and transportation security. Dr. Latifur Khan discusses how advanced AI methods can be applied to threat detection, data analysis, and decision-making in high-risk and data-intensive environments. The talk highlights interdisciplinary applications of LLMs, emphasizing their ability to extract insights from large-scale data, improve system resilience, and support intelligent infrastructure. Emerging research directions and practical implications for real-world deployment are also discussed.

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Direct Energy Cascade Of 2d Quantum Turbulence In Supersolids, Lukas Farthing Apr 2026

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 …

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Cytokinesis And Dbf2, Katharine Gray Apr 2026

Cytokinesis And Dbf2, Katharine Gray

Miners Solving for Tomorrow Research Conference

The Mitotic Exit Network (MEN) is a signaling pathway that allows a dividing cell to exit cytokinesis. Dbf2 is a MEN protein kinase in yeast, which provides a simplified model for studying this pathway. By altering Dbf2’s activity through phosphorylation mutants, its effect on cytokinesis can be studied. Transformed cells with a mutant and degron Dbf2 allele are prompted to destroy the degron Dbf2 protein, leaving only mutated Dbf2 behind. This allows for clear analysis of the effect of the phosphorylation mutant on division. Fluorescence microscopy can be used to visualise this degradation, and the impact on actin ring formation …

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Vortex Generation In Dipolar Supersolids, Jacob Harl Apr 2026

Vortex Generation In Dipolar Supersolids, Jacob Harl

Miners Solving for Tomorrow Research Conference

Ultracold atomic gases offer highly tunable platforms for exploring complex quantum many-body phenomena. In addition, dipolar quantum gases of magnetic atoms featuring long-range anisotropic interactions are exquisite systems for realizing exotic phases-of-matter in an experimentally controlled way. A prototypical example is the supersolid state which simultaneously exhibits frictionless flow of superfuids and crystalline density modulation of solids. In this realm, we investigate the dynamical generation of vortex topological defects by imprinting a suitable phase jump in quasi-two-dimensional dipolar supersolids. This protocol enables the nucleation of a dark soliton which consecutively becomes unstable via the eponymous snake instability due to its …

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Elucidating Complex H Behavior In Amorphous Oxide Semiconductors By Machine Learning, Lucas Ethington Apr 2026

Elucidating Complex H Behavior In Amorphous Oxide Semiconductors By Machine Learning, Lucas Ethington

Miners Solving for Tomorrow Research Conference

In this project, the disordered oxide structures will be mapped by a machine-learning algorithm (e.g., HDBSCAN) to identify characteristic behaviors of the proton across different material densities and defect types. This should help identify the under-coordinated, highly distorted, weakly-bonded, and dynamically unstable atoms to predict the most probable H locations. This fast and accurate prediction of energetically favorable H distribution will enable a reliable and fast screening of a large number of AOSs with variable cation and/or anion compositions. The approach will help find AOSs with suppressed numbers of M-OH defects (that form deep electron traps, limiting the number of …

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The Structure Of Amorphous Alox And Its Role In H Distribution And Dynamics, Lana Herkenhoff Apr 2026

The Structure Of Amorphous Alox And Its Role In H Distribution And Dynamics, Lana Herkenhoff

Miners Solving for Tomorrow Research Conference

Hydrogen is known to be the culprit of electron decoherence in Josephson junctions, greatly affecting the performance of superconducting quantum circuits. For Al/AlOx interfaces, the challenge is two-fold: 1) similar Al-Al and Al-H bond strength promotes bond switching and, hence, facilitates vigorous H motion; whereas 2) oxygen has only a slight preference to form Al-O rather than H-O bond, implying that (meta)stable Al--O-H are likely to occur, especially in a disordered oxide. In this project, ab initio molecular dynamics (MD) simulations are employed to generate the atomistic models of Al2O3-x with oxygen vacancy defects and to quantify the H diffusion, …

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Wheel-Spoke Encoding: A Product Quantization-Compatible Radial Encoding Scheme For Convex Polygonal Data, Maris Reinkemeyer Apr 2026

Wheel-Spoke Encoding: A Product Quantization-Compatible Radial Encoding Scheme For Convex Polygonal Data, Maris Reinkemeyer

Miners Solving for Tomorrow Research Conference

Product quantization has historically been unapplied to GIS datasets, likely due to a mismatch between quantization’s input precondition of fixed, equal length vectors and GIS data’s inherent variability in the number of data points. Therefore, any quantization-compatible encoding method must operate independently of the data points within GIS records. The challenge is to balance the guarantee of producing fixed, equal length vectors with the preservation of semantic meaning present in the raw data. Here, we develop a radial polygon encoding method that achieves this balance while providing acceptable recall in a time complexity of O(nrv), where n is the number …

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Dynamical Transition From A Two-Dimensional Soliton To A Rogue Wave In Quantum Droplets, Punit Sesha Sai Turlapati Apr 2026

Dynamical Transition From A Two-Dimensional Soliton To A Rogue Wave In Quantum Droplets, Punit Sesha Sai Turlapati

Miners Solving for Tomorrow Research Conference

We investigate the nonequilibrium dynamics of two-dimensional quantum droplets: ultracold self-bound many-body states stabilized by the interplay of mean-field attractive interactions and repulsive quantum fluctuations. Flat-top ground state droplets are subject to an external potential, an attractive well and a repulsive barrier. Under the influence of the attractive well, we observe signatures of a Townes soliton formation, which for increasing strength of the well transitions into a two-dimensional rogue wave structure, a time-periodic highly localized configuration with amplitude three times larger than the background. The barrier instead favors a dynamical splitting of the droplet. We have developed a parallelized simulation …

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Lay Summarization For Medical Patents, Manav Raja Vinotha Apr 2026

Lay Summarization For Medical Patents, Manav Raja Vinotha

Miners Solving for Tomorrow Research Conference

Technical documents, such as medical patents, are often inaccessible to non-expert audiences due to specialized terminology. This paper presents a multi-agent system for automated lay summarization that optimizes both quality and computational efficiency through strategic task decomposition. The proposed pipeline utilizes four specialized stages: autonomous medical entity retrieval from the Unified Medical Language System (UMLS), context distillation into lay conceptualizations, and a structured writer-critic loop for iterative refinement. By distributing cognitive load across specialized agents, this architecture effectively leverages smaller, cost-effective language models while maintaining the performance of SOTA LLMs. Evaluated against single-agent baselines using an LLM as a Judge …

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The Stability Study Of Dna-Polymer Hybrids For Nanotechnology Applications, Ethan Kuehn, Milan Jebaraj Apr 2026

The Stability Study Of Dna-Polymer Hybrids For Nanotechnology Applications, Ethan Kuehn, Milan Jebaraj

Miners Solving for Tomorrow Research Conference

DNA nanostructures have garnered increasing interest in their application as drug delivery vehicles. However, DNA is susceptible to degradation under physiological conditions. To remedy this, we have devised a novel method to coat DNA nanostructures with the polysaccharide chitosan (a natural derivative of chitin). Chitosan binds to DNA electrostatically and inhibits nuclease activity that would normally degrade DNA in a physiological environment. We used both agarose gel electrophoresis (AGE) and atomic force microscopy (AFM) to determine the stability of DNA before and after immersion in a simulated biological environment. Physiological conditions were mimicked by incubating the DNA in cell culture …

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Analysis Of Autonomous Vehicle Survivability To 5g Communication Errors, Sydney Clark Apr 2026

Analysis Of Autonomous Vehicle Survivability To 5g Communication Errors, Sydney Clark

Miners Solving for Tomorrow Research Conference

Autonomous vehicles rely on low-latency, high-reliability data exchange for real-time perception and control. Disruptions such as packet loss, latency variation, protocol-level errors, and malicious interference can pose significant safety risks to both passengers and surrounding environments. This project aims to evaluate, quantify, and predict the survivability of autonomous vehicle systems to communication errors, with focus on 5G network environments. The impact of these communication impairments on vehicle stability and control will be investigated through high-fidelity cyber-physical simulation of the vehicle and its surrounding environment. Experiments designed to capture varying network conditions will be used to assess a broad range of …

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A Wearable Mxene-Based Sweat Sensor For Real-Time Monitoring Of Inflammatory Biomarkers, Ariel Pilger Apr 2026

A Wearable Mxene-Based Sweat Sensor For Real-Time Monitoring Of Inflammatory Biomarkers, Ariel Pilger

Miners Solving for Tomorrow Research Conference

Many conventional biosensing approaches rely on invasive sampling or bulky benchtop instrumentation, limiting their use in continuous and portable applications. This project focuses on the development of wearable sweat-based biosensors that enable non-invasive, continuous, and portable monitoring of physical, chemical, and biological markers. The system will be designed to target markers present in sweat and transduce the biochemical interactions into measurable electrical signals. These signals will be processed through integrated electronics to produce clear, interpretable outputs for users and medical professionals. Supporting circuitry including filters, amplifiers, and an independent power supply will be implemented as necessary to ensure signal accuracy, …

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The Effects Of Preventing Dephosphorylation Of Lqg1 On Cytokinesis, Jenna Mueller Apr 2026

The Effects Of Preventing Dephosphorylation Of Lqg1 On Cytokinesis, Jenna Mueller

Miners Solving for Tomorrow Research Conference

Iqg1 plays crucial roles in cytokinesis, including the assembly, contraction, and disassembly of the actomyosin ring, as well as the coordination of contraction and septation. Given that cytokinesis must occur post-mitosis, Iqg1 is regulated by the cell cycle. This study explores hypotheses regarding Iqg1 regulation: it’s binding to action is negatively influenced by the cyclin-dependent kinase (CDK) Cdc28 and positively influenced by dephosphorylation via Cdc14. Newly developed yeast degron tagged strains allow for rapid depletion of specific proteins. Iqg1 mutations that alter serine to threonine, which allows phosphorylation but not dephosphorylation, in the degron strain allow testing of mutant phenotypes. …

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Asphalt Pavement Rejuvenation Investigated By Nuclear Magnetic Resonance Relaxometry, Catherine Skaggs Apr 2026

Asphalt Pavement Rejuvenation Investigated By Nuclear Magnetic Resonance Relaxometry, Catherine Skaggs

Miners Solving for Tomorrow Research Conference

Asphalt is a relatively inexpensive material commonly used for road pavements; however, asphalt ages from exposure to oxygen and UV radiation, leading to loss of elasticity, which leads to cracks and potholes. To slow or reverse asphalt aging, pavement preservation treatments are in use. It’s unclear whether these treatments truly rejuvenate the pavement structure or merely offer a short-term benefit. Nuclear Magnetic Resonance (NMR) relaxometry is an analytical technique that uses the recovery of excited nuclear magnetization as a parameter to gain insights into molecular environments. Recovery-time distributions gathered from asphalt materials show differences between regular and rejuvenated asphalt samples, …

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Non-Redundant Rovibrational Hamiltonians By Molien Generating Functions And Gröbner-Basis Reduction, Leandro Ajo Apr 2026

Non-Redundant Rovibrational Hamiltonians By Molien Generating Functions And Gröbner-Basis Reduction, Leandro Ajo

University Libraries Undergraduate Research Award

High-resolution molecular spectroscopy requires an effective Hamiltonian whose operator content is both complete, containing every term allowed by molecular symmetry and nonredundant, free of any algebraically dependent operators that would cause ill-conditioned parameter fits. Traditional derivations based on Van Vleck contact transformations satisfy neither criterion automatically. This paper develops a rigorous, algorithmic pipeline that guarantees both properties simultaneously. Starting from the permutation– inversion (PI) group GPI of a molecule (Longuet-Higgins, 1963), we apply Molien’s theorem (Molien, 1897) to the symplectic normal-coordinate representation to obtain the vibrational generating function Φvib(t); integrate over the Haar measure of SO(3) (Weyl, 1946) to obtain …

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Navigating Sustainable Burial In Southern Nevada, Kristen Gibson Apr 2026

Navigating Sustainable Burial In Southern Nevada, Kristen Gibson

Calvert Undergraduate Research Awards

Navigating Sustainable Burial in Southern Nevada investigates the accessibility of environmentally conscious end-of-life options for individuals throughout the region. Sustainable burial practices, including green burial, water cremation, and natural organic reduction, provide alternatives to traditional burial and cremation methods. Research was conducted through an analysis of Nevada statutes, local reporting, funeral service resources, and public discussions related to sustainable burial. The research revealed that although Nevada expanded legal recognition of sustainable burial by legalizing natural organic reduction, public access to clear information and available services remains limited. These findings informed the creation of a choose-your-own-adventure booklet designed to translate legal …

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The Kaczmarz Algorithm In Hilbert C∗-Modules, Daniel Alpay, Chad Berner, Eric S. Weber Apr 2026

The Kaczmarz Algorithm In Hilbert C∗-Modules, Daniel Alpay, Chad Berner, Eric S. Weber

Mathematics and Statistics Faculty Research & Creative Works

The Kaczmarz algorithm in Hilbert spaces is a classical iterative method for stably recovering vectors from inner product data. In this paper, we extend the algorithm to the setting of Hilbert C∗-modules and establish analogues of its effectiveness in both finite-dimensional and stationary cases. Consequently, we demonstrate that continuous families of elements in a Hilbert space can be uniformly recovered using the Kaczmarz algorithm. Additionally, we develop a normalized Cauchy transform for continuous families of measures and use it to provide sufficient conditions under which standard frames in Hilbert C(X)-modules can be generated by the Kaczmarz algorithm and …

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A Fully Discrete Decoupled Scheme And Applications For Non-Isothermal Two-Phase Flow Model With Different Viscosities And Thermal Diffusivities, Jian Li, Chunhao Chen, Xiaoyong Chen, Rui Li, Xiaoming He Apr 2026

A Fully Discrete Decoupled Scheme And Applications For Non-Isothermal Two-Phase Flow Model With Different Viscosities And Thermal Diffusivities, Jian Li, Chunhao Chen, Xiaoyong Chen, Rui Li, Xiaoming He

Mathematics and Statistics Faculty Research & Creative Works

To study natural convection problems in two-phase flows, a non-isothermal two-phase flow model incorporating differential viscosities and thermal diffusivities is considered and analyzed via the phase-field method. This modeling framework involves the Multiphysics coupling of the Cahn-Hilliard phase field equations, heat transfer equation, and Navier-Stokes equations, resulting in a strongly nonlinear system. To efficiently solve the sophisticated system, we develop, analyze, and demonstrate a decoupled linear fully discrete scheme, which leverages the invariant energy quadratization strategy for the Cahn-Hilliard phase field system, the artificial compressibility method without artificial pressure boundary condition, an explicit-implicit treatment of nonlinear terms, and the addition …

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Policy Design, And The Repeal Of Ghana’S Emissions Levy Act: A Multiple Streams Framework Analysis, Anthony Amotoe-Bondzie Apr 2026

Policy Design, And The Repeal Of Ghana’S Emissions Levy Act: A Multiple Streams Framework Analysis, Anthony Amotoe-Bondzie

Collected Student Papers

Ghana’s 2023 Emissions Levy Act (Act 1112) imposed charges on large industrial emitters and vehicles, intending to internalize pollution costs and raise government revenue. This study applies to Kingdon’s Multiple Streams Framework (MSF) to explain the policy’s rapid repeal. Drawing on legislative texts, official reports, and media accounts, it categorizes influences into the problem (rising living costs), policy (design features), and politics (stakeholder mobilization) streams. Key findings reveal that the levy’s mixed design, a per-ton CO₂ fee on industry combined with a flat vehicle ownership tax, undermined its climate rationale and appeared more as a revenue grab. Implementation gaps exacerbated …

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Sequences That Do Frame Reconstruction, Chad Berner Apr 2026

Sequences That Do Frame Reconstruction, Chad Berner

Mathematics and Statistics Faculty Research & Creative Works

Frames allow all elements of a Hilbert space to be reconstructed by inner product data in a stable manner. Recently, there is interest in relaxing the definition of frames to understand the implications for stable signal recovery. In this paper, we relax the definition of a frame by allowing the operator in the frame decomposition formula to not be invertible. We provide a complete classification of sequences that allow this decomposition via a type of frame operator. In addition, we provide several examples of sequences that allow this reconstruction property that are not frames and illustrate in which ways they …

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Ecovoltaic Solar Energy Development Creates Novel Microclimate, Temperature, And Soil Moisture Patterns Under Solar Panels In A Warm Desert, Juan Pinos, Seth M. Munson, Claire C. Karban, Matthew D. Petrie Apr 2026

Ecovoltaic Solar Energy Development Creates Novel Microclimate, Temperature, And Soil Moisture Patterns Under Solar Panels In A Warm Desert, Juan Pinos, Seth M. Munson, Claire C. Karban, Matthew D. Petrie

Life Sciences Faculty Research

Background As solar energy development expands in desert regions, new installation practices and solar technologies seek to balance ecosystem conservation and energy generation (ecovoltaics). The Gemini Solar Project, a large ecovoltaic facility located in the northeastern Mojave Desert, employed low impact installation methods to reduce disturbance of the desert ecosystem within arrays of bifacial panels mounted on solar tracking systems. We evaluated microclimate and environmental conditions across five locations: four within-facility microsites (underneath solar panels, east and west panel driplines, and interspaces between panel rows) and one in the undisturbed desert outside the facility. Results Under panel microsites experienced lower …

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A.I.R.E., Laurene Robinson Apr 2026

A.I.R.E., Laurene Robinson

Presentations - 2026

•Cybersecurity analysts rely on reverse engineering to understand suspicious software. •Ghidra can surface decompiled code, but it does not fully explain function purpose, behavioral meaning, or analyst priority. •When symbols are stripped and context is weak, analysts must still reconstruct intent manually from low-level output. •That process is Time-consuming , complex and , operationally costly

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