Digital Commons Network^™

Re: Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur-41 – Montana Street And Interstate-90, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur-52 Area West Of Bres No. 133 – Dexter Mill, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Spartan Daily, August 27, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 04

Operational Resilience In Cubesat Tracking Operations Through Complementary Architectures At Dss-17, Andrea Togni, Emily Walter, Chloe Hart, Ryan Collins, Noah Patrick, Christo Smith, Nathan Fite, Benjamin Malphrus, Marc Sanchez-Net

Small Satellite Conference

Loss of phase-locked loop (PLL) lock during CubeSat tracking can simultaneously eliminate both telemetry and Doppler observables, leaving operators blind during critical mission phases. While closed-loop receivers provide high-precision tracking under nominal conditions, they remain vulnerable to low signal-to-noise ratio, rapid Doppler dynamics, oscillator instability, and modeling errors. This single-point failure mode reduces operator situational awareness precisely when it is most needed. This work presents a dual-acquisition architecture that eliminates single point failure in CubeSat ground tracking. Implemented at DSS-17, Morehead State University's 21-meter deep-space antenna, the system pairs a conventional closed-loop modem with a parallel open-loop receiver implemented on …

Journal Ida 2022 101 3

Journal IDA

The Journal IDA is a peer-reviewed, scientific periodical owned and published by the Indiana Dental Association, a constituent of the American Dental Association.

Journal IDA concentrates on the clinical aspects of dentistry, including case studies and research; practice management and business aspects of dentistry, from start up to transition; and also includes special and regular feature articles.

Self Efficacy And Instructional Support Predict Cyber Deception Acceptance In Ics And Ot Cybersecurity, Daniel Ward

Journal of Cybersecurity Education, Research and Practice

Cyber deception can produce high-confidence evidence of unauthorized activity in industrial control systems (ICS) and operational technology (OT), but practitioners must consider the technology useful, safe, understandable, and supported before they will use it. This study reports a secondary quantitative analysis of a deidentified survey of United States-based ICS and OT professionals to determine whether psychological and instructional factors predict adoption readiness and effective utilization beyond education, experience, and sector. Hierarchical ordinary least squares regression with HC3 robust standard errors was conducted on 262 complete cases. The demographics-only model was not significant and explained 2.8 percent of outcome variance. Adding …

Opengrcrmf: A Vendor-Neutral Framework For Teaching And Modeling Rmf Automation, Continuous Authorization, And Zero Trust Governance, Anand Janjal

Journal of Cybersecurity Education, Research and Practice

Abstract—Federal and regulated organizations continue to rely on document-centric Authorization to Operate (ATO) processes even as the NIST Risk Management Framework (RMF), continuous monitoring guidance, Zero Trust Architecture (ZTA), and continuous authorization initiatives require more continuous, evidence-driven risk management [1]-[3], [13], [15]. Manual System Security Plan (SSP) updates, spreadsheet-based Plan of Action and Milestones (POA&M) tracking, and disconnected assessment evidence create governance latency: the delay between operational security events and authorization-ready governance response. This paper presents OpenGRCRMF, a proposed open, vendor-neutral reference framework that models RMF lifecycle activities as workflow states, treats authorization artifacts as structured governance objects, and …

First Generation Of Project A.S.P.I.R.E. – A 1u Cubesat Mission For Technology Demonstration And Student Involvement In New Zealand, Shuanghui Zhao, Shunxing Shi, Kristen Lian, Rose Peens-Hough, Arami Peens-Hough, Changrui Wang, Joowon Hwang, Jerry Sun, Edward Sun

Small Satellite Conference

MOTIVATION

A feasibility study conducted at an Auckland secondary school in December 2024 found strong interest in satellite-related learning. Following an outreach presentation, 63 students (Majority aged 15 - 18) completed a questionnaire, with an average interest rating of 4.86/5. The most popular subjects were Orbital Physics, Mathematics, Mechanical Engineering, and Electrical Engineering (fig. 1).

Beyond Parametric Adaptation: Periodic Redesign For Reaction Wheel Degradation In Precision Pointing Cubesats, Bruno Ingrao

Small Satellite Conference

CubeSat missions increasingly require sustained science-grade precision pointing over long durations. Although sub-arcsecond line-of-sight (LoS) stability is achievable, maintaining this performance is challenged by nonlinear, speed-dependent, and time-varying reaction wheel behavior. As actuator degradation progresses from beginning-of-life (BOL) to end-of-life (EOL), model-plant mismatch can lead to significant pointing degradation and potential loss of mission capability. This work investigates the limitations of fixed-gain and parametric adaptive control under degraded actuator conditions and proposes a periodic identification and controller redesign framework. The approach detects persistent model mismatch using innovation-based consistency and performance metrics, triggers on-orbit identification, and updates the actuator model using …

Radma: Resource-Aware, Dynamic Deployment Of Ml Architectures On An Edge Tpu In Space, Robert Rathert

Small Satellite Conference

As the number of Space Vehicles (SVs) orbiting Earth grows, downlink bitrate bottlenecks necessitate a shift to Orbital Edge Computing (OEC). Size, Weight, and Power, and Cost (SWaP-C) limit onboard Machine Learning (ML) autonomy, and State-of-the-Art (SotA) systems deploy static ML models that do not adapt to dynamic orbit conditions. This work proposes and evaluates RADMA, a resource-aware framework that selects Neural Network (NN) models in response to changing latency and energy constraints. We quantify the performance of RADMA on an open-hardware picosatellite payload that hosts a Google Coral Edge Tensor Processing Unit (TPU). Orbit simulation and modeling predict processing …

Validated Lie Group Variational Integrator-Based Simulator For Passive Magnetic Attitude Control Of The Gasrats Cubesat, Truman T. Abbe

Small Satellite Conference

Passive magnetic attitude control (PMAC) systems are selected for integration in CubeSat designs on account of their simplicity and lack of power consumption. These systems function by simultaneously dissipating a satellite’s rotational kinetic energy as heat and orienting it according to the Earth’s magnetic field. This process is critical for establishing steady-state attitude, a stable rotational state required for conducting mission operations and enabling downlink to ground stations. Comprehensive attitude simulations are necessary for confirming the reliability of a PMAC system to provide timely attitude convergence for a wide range of deployment velocities and orientations. An attitude damping phase precedes …

Architectural And Mathematical Foundations Of Transform Coding In Image Compression: From Multiresolution Wavelet Pyramids To Hardware-Accelerated Discrete Wavelet Transform Silicon Engines, Gopi K. Tummala

Defensive Publications Series

As distributed compute platforms and high-resolution imaging pipelines scale, uncompressed raw visual data presents a severe transmission bandwidth and memory storage wall. A 24-bit 1024 × 1024 uncompressed frame consumes 3.0 MB of storage, requiring over 7 minutes to transmit across legacy 64 Kbit/s ISDN channels, whereas a 10 : 1 compression reduces this footprint to 300 KB and sub-6-second latencies. This research paper presents a comprehensive mathematical, algorithmic, and microarchitectural evaluation of foundational transform coding paradigms—spanning Discrete Cosine Transform (DCT), Karhunen-Lo`eve Transform (KLT), Fractal Iterated Function Systems (IFS), Spline Regularization, and Multiresolution Discrete Wavelet Transforms (DWT). We formulate the …

Multi-Probe Dehp Validation Protocols For Jwst, Euclid, And Roman Space Telescope Telemetry Data, Christopher L. Eckes

Defensive Publications Series

Modern cosmological observations are encountering acute foundational tensions within the standard ΛCDM framework. These include the 5σ Hubble Tension, anomalously mature galaxy populations at high redshifts (z > 10) revealed by the James Webb Space Telescope (JWST), and large-scale cosmic anisotropy dipoles detected in radio and infrared surveys. This white paper presents a formal empirical framework to evaluate the Dimensionally Extended Holographic Projection (DEHP) model against these anomalies. By treating space-time as an emergent bulk generated by a two-dimensional boundary information layer, DEHP treats cosmic expansion as a manifestation of viscoelastic substrate mechanics rather than an intrinsic vacuum metric expansion. We …

Adaptive Media Interruption Placement Using Causal Analysis Of Audience Engagement, Joanna Piega, David Lepkowski, Szymon Socha

Defensive Publications Series

A challenge in the field of digital media distribution relates to static interruption placements, such as advertisements, which may be determined without considering evolving audience engagement data. This approach can result in interruptions during periods of low viewer interest, potentially increasing session abandonment. Systems and methods are described that can address this by utilizing a quasi-experimental statistical framework to analyze audience engagement data. The framework may compare viewer abandonment rates between sessions where an interruption was presented and sessions where an interruption was not presented for the same temporal location. This comparison can yield a causal abandonment penalty metric for …

Autonomous Orchestration Of Trend-Driven Advertising Using Semantic Product Matching, Jasbeer Arora, Anurag Tripathi, Gurvinder Singh

Defensive Publications Series

Digital advertising may be challenged by latency in manual workflows and a semantic gap between fast-moving cultural trends and structured product data, potentially resulting in missed commercial opportunities. A described system can address these challenges using an automated, multi-agent orchestration workflow. For example, a surveillance agent can identify breakout trends from various data streams, such as social media feeds or search queries. These trends may then be semantically expanded using a large language model. The expanded description can be converted into a vector embedding to perform a similarity search against a vector database of a product catalog, which may identify …

Addressing Sustainability Challenges: Perspectives From Bhagavad Gītā, B Mahadevan, Dhrithi Mahadevan

International Journal of Traditional Knowledge

The industrialization-driven growth has ushered in economic progress over the past few centuries. However, it has also raised serious concerns about the sustainability of life on this planet. Despite considerable attempts to address sustainability issues using newer frameworks and efforts by corporates as well as governmental, and non-governmental institutions, we have remained ineffective in implementing sustainable solutions. The “last mile” to successfully implementing sustainable solutions is the individual. This calls for addressing individual values and aligning them to sustainability. This paper presents a fresh perspective on the problem by drawing some insights from the Bhagavad Gītā. We introduce the basic …

Gaining From Captured Indian Traditional Knowledge Systems: Paths Taken And Way Forward, Ramasami T

International Journal of Traditional Knowledge

India’s scientific heritage is deeply reflected in Ayurveda, a tradition of integrative medicine documented for over two millennia. P.C. Ray, the father of modern chemistry in India, highlighted the depth of ancient chemical knowledge and early use of mercury compounds, while M.S. Valiathan later revived and analyzed the classical texts of Charaka, Sushruta, and Vagbhata to bridge Ayurveda with modern science. Building on this foundation, the Government of India launched initiatives linking Ayurveda with genomics, personalized medicine, and rasayana therapies, yielding promising insights such as the genetic basis of prakriti classifications and protective effects of Amalaki Rasayana. Efforts like the …

Fabrication Of Objectives For Imaging Ultracold Lithium, Danelle Akanova

Dartmouth College Master’s Theses

This thesis develops a documented, reproducible procedure for building diffraction-limited microscope objectives entirely from catalog singlets, for imaging ultracold 6Li atoms in a ring-trap experiment. The objectives must resolve micron-scale features through a 5 mm fused-silica vacuum window, operate at multiple wavelengths, fit inside a 48 mm magnet bore, and contain no conductive or magnetic material, because the surrounding coils switch 0.1 T fields on microsecond timescales. Commercial long-working-distance objectives are universally housed in metal, which the eddy-current constraint rules out, and custom fabrication of a suitable non-conductive matched pair is estimated at nearly $200k.

The procedure is developed and …

Citizen Science As A Long-Term Environmental Baseline: Assessing Impacts Of A Small Dam Removal In Montana, Usa, Bethany Blakey, Natalie Bursztyn

Watershed Sciences Student Research

As dam removals increase in frequency across Europe and North America, most research has focused on the impact of larger dam removals, despite the removal of small dams being much more common. There are hundreds of small dams in Montana, USA, and this research investigates impacts on stream ecology and morphology using citizen science data collected over eight years spanning before and after a 2020 small dam removal in Rattlesnake Creek. We analyzed pebble count grain size distributions and aquatic macroinvertebrate biotic indices from 2017 to 2024 to assess changes in sediment transport and macroinvertebrate population as well as evaluate …

Artificial Intelligence And Social Equities: Navigating The Intersectionalities In A Digital Age (Editorial), Daisuke Akiba, Julie Albright

Publications and Research

This editorial article introduces and synthesizes the Special Issue, “Artificial intelligence and social equities: navigating the intersectionalities in a digital age,” which examines how AI systems intersect with race, ethnicity, and interconnected identity dimensions across global contexts. The eight contributions span healthcare, digital media, higher education, organizational communication, and speculative futures, addressing anti-racist psychiatric algorithms, AI-generated visual disinformation, epistemic injustice between the Global North and South, algorithmically mediated rural–urban divides, culturally untranslated technology transfer, accessibility auditing across the AI lifecycle, and the tension between mechanical objectivity and empathic understanding. Read together, they show that AI is neither inherently …

Oregon State Rank Assessment For Schweinitz's Cyperus (Cyperus Schweinitzii), Nora Dunkirk

Institute for Natural Resources Publications

Oregon state conservation status assessment for Schweinitz's cyperus (Cyperus schweinitzii) using NatureServe methodology, 2026.

Long-Term Trends And Drivers Of Commercial Shrimp Fisheries Across The Southeastern U.S. Atlantic Coast, Trinity Assels

Electronic Theses and Dissertations

Long-term dynamics of southeastern U.S. Atlantic commercial shrimp fisheries reflect interacting environmental and socioeconomic processes rather than uniform regional decline. However, integrated, multi-state assessments linking these drivers to fishery-dependent indicators remain limited for the region. This study analyzed over four decades (1980–2023) of confidential fishery-dependent data from coastal South Carolina, Georgia, and northeastern Florida, focusing on the region where white and brown shrimp dominate commercial landings. Segmented regression analysis was used to identify structural shifts in long-term trends of landings, participation, and catch-per-unit-effort (CPUE), while multiple linear regression models identified seasonal temperature variables associated with interannual variation in shrimp CPUE. …

Presence And Impact Of Herbicides On Intertidal Benthic Communities, Marco Sanderson

Electronic Theses and Dissertations

The growing reliance and widespread use of herbicides on a global scale is negatively affecting non-targeted biota and, consequently, their ecosystems. Herbicide levels and their impacts have been extensively researched around the world in riverine and lacustrine ecosystems. However, studies of the levels and effects of herbicides on coastal intertidal benthic communities have been lacking. This study focused on testing spectrophotometric methodologies for herbicides (atrazine and glyphosate) and documenting their presence and levels in sediment, water, and biotic tissue of intertidal coastal beaches and marshes of Waties Island and Singleton Swash, Horry County, South Carolina. A laboratory microcosm was employed …

Trophic Ecology Of A South Carolina Estuarine Predator Guild, Shane John Molander

Electronic Theses and Dissertations

Estuaries are among the world’s most productive ecosystems in the world and are characterized by the convergence of two distinct habitats, creating a mosaic of environmental conditions from inland rivers to the nearshore ocean. Many fishes occupy estuaries during various life stages for growth, reproduction, or foraging, and may reside in them seasonally. The co-occurrence of species, particularly upper-trophic level carnivores, can result in competitive interactions for prey resources within a shared environment. Identifying the degree of these interactions as well as understanding basal energy consumption can inform food web dynamics and how overlapping species use shared spaces. I used …

Statistical Model Of Subsurface Scattering Bias In Icesat‐2'S Atl06 Product, Thilini Bamunu Arachchige, Kelly E. Gleason, Jonathan C. Ryan, Markus Allgaier

Environmental Science and Management Faculty Publications and Presentations

ICESat‐2 uses visible laser pulses and photon‐counting detectors to range the Earth's surface, providing precision altimetry for measuring ice sheet elevation change. However, since water ice is transparent to visible light, the photon returns recorded by ICESat‐2's ATLAS instrument may originate from subsurface scattering inside the snow or glacier ice volume, making the surface appear lower than it is. Here, we develop a Monte Carlo Radiative Transfer model to characterize the potential bias caused by subsurface scattering in snow and ice. Our model allows us to study the subsurface scattering bias in relation to photon number, scattering coefficient, and slope …

Credence Goods In Markets With Collective Reputation: Nature Of Equilibria And The Value Of Certification, Erin Krupka, Thomas P. Lyon, Arnab Mitra

Economics Faculty Publications and Presentations

Fraud can cause markets for credence goods to collapse, but collective reputation has been suggested as a potential solution, especially when buyer valuations for quality are high. We develop a discrete model of a market for label credence goods and provide conditions for no-fraud equilibria based on collective reputation. We identify conditions under which all equilibria may be asymmetric or involve mixed strategies and hence sellers may face coordination problems. Our analysis suggests such coordination problems are the greatest when the size of the high-quality market is approximately half of the overall market (that incorporates both high- and low-quality goods), …

Adaptation Of A Seismic Outreach Program: Collaboration Between University Students And Seaoc Mos, Paul Quinter, Ryan Lovejoy, Kristin Potterton, Anahid A. Behrouzi, Lelli Van Den Einde

Architectural Engineering

For nearly two decades, students in University of California, San Diego’s Society of Civil and Structural Engineers (UCSD SCSE) chapter have conducted a Seismic Outreach program that reaches around a thousand 4th and 6th grade students annually. This success motivated an effort to share and deploy the curriculum through other universities. To achieve this, the Structural Engineers Association of San Diego (SEAOSD) sought and received a 2024 National Council of Structural Engineers Associations (NCSEA) grant that supported collaboration between UCSD SCSE, the Structural Engineers Association of Southern California (SEAOSC), and California Polytechnic State University, San Luis Obispo (Cal Poly). This …

Llm-Integrated Anomaly Detection For Iot Networks: Framework Structure, Mamoon M. Saeed, Rashid A. Saeed, Salah Hagahmoodi, Rania A. Mokhtar, Khalid Hamid

Baghdad Science Journal

Internet of Things (IoT) devices are vulnerable to zero-day attacks because most of them have weak or no inherent security due to the resource constraints of the devices. This weakness underscores the growing need for anomaly-based intrusion detection systems tailored to IoT networks. Nevertheless, general anomaly detection traditionally has a high number of false positives that drain analysts' time. Also, a semantic difference exists between the system's results and the operators' interpretations. We introduce a machine learning-based framework to tackle these issues in traditional systems in this paper by combining large language models (LLMs). Our model is effective in identifying …

Video Steganography Based On Invertible Neural Networks With Densenet And U-Net Features, Noor Fahem Sahib, Soukaena Hassan Hashem, Ekhlas Falih Naser

Baghdad Science Journal

The increased rate of cyber threats such as fraud and other forms of attack, including phishing, malware, and denial-of-service attacks, has led to a growing demand for secure methods to ensure the security of sensitive information that is transferred among users. Video steganography has become a very important element in dealing with these security issues, as communication has become more dependent on multimedia content. Hiding information is now an area that is being developed very fast with the introduction of Deep Learning (DL)-based steganography methods. This framework introduces Vid_Steg_DenseUNet, a video steganography method which efficiently extracts multi-level features using edge-preserving …

Qrc-Pso: A Quad-Module Ring-Competitive Pso Algorithm For Coverage Optimization In Wireless Sensor Networks, Yu-Xuan Zhou, Shao-Qiang Ye, Di-Wen Kang, Xue-Wei Liu, Kai-Qing Zhou

Baghdad Science Journal

Coverage optimization in WSNs is critical for disaster warning and industrial monitoring, but is challenging due to multi-modality and high-dimensionality. Particle swarm optimization (PSO) offers fast convergence and simple parameter tuning, yet suffers from premature convergence and parameter sensitivity in multi-peak problems. To address these issues, we propose a Quad-module Ring-Competitive PSO (QRC-PSO). It comprises four heterogeneous subgroups with distinct parameter configurations for global exploration, local exploitation, balanced search, and perturbation enhancement. Subgroups evolve independently but exchange elite particles via a ring-topology migration strategy: every 20 iterations, the best three particles of each subgroup move clockwise to the next subgroup …