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Semantic Consistency Verification For Hedged Ai Inference Requests, Durga S. Kala, Tomer Rabani, Chenming Cao, Sreekanth Kanichetty, Sowmya Mothekani Aug 2026

Semantic Consistency Verification For Hedged Ai Inference Requests, Durga S. Kala, Tomer Rabani, Chenming Cao, Sreekanth Kanichetty, Sowmya Mothekani

Defensive Publications Series

A method includes receiving, in response to a common input transaction, a first inference response generated by a first inference stack and a second inference response generated by a second inference stack. The method includes generating a first vector embedding based on semantic content of the first inference response and a second vector embedding based on semantic content of the second inference response. The method includes determining a divergence measure between the first vector embedding and the second vector embedding. The method includes determining whether the divergence measure satisfies a semantic consistency criterion. The method includes, in response to determining …


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

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

Spartan Daily, 2026

Volume 167, Issue 04


Re: 2026 Spring Semi-Annual – Interim Site-Wide Groundwater Monitoring Data Report Silver Bow Creek Butte Area Npl Site, Butte Priority Soils Operable Unit Consent Decree-Civil Action No. Cv 89-039-Bu-She, Josh Bryson Aug 2026

Re: 2026 Spring Semi-Annual – Interim Site-Wide Groundwater Monitoring Data Report Silver Bow Creek Butte Area Npl Site, Butte Priority Soils Operable Unit Consent Decree-Civil Action No. Cv 89-039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


2026 August 27 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University Aug 2026

2026 August 27 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.


Re: Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur-41 – Montana Street And Interstate-90, Mike Mcanulty Aug 2026

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-53 – South Of Surprise Dump, Mike Mcanulty Aug 2026

Re: Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur-53 – South Of Surprise Dump, 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-51 –Area Near Bres No. 50 – Zelia And Mountain Con Mine, Mike Mcanulty Aug 2026

Re: Draft Final Butte Priority Soils Operable Unit Unreclaimed Sites Field Sampling And Investigation Plan: Ur-51 –Area Near Bres No. 50 – Zelia And Mountain Con Mine, 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 Aug 2026

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.


The Impact Of Integrated Reporting In Rationalizing Investment Decisions And Value Enhancing, Asst Prof Dr. Muna Jabbar Mohammed Aug 2026

The Impact Of Integrated Reporting In Rationalizing Investment Decisions And Value Enhancing, Asst Prof Dr. Muna Jabbar Mohammed

Muthanna Journal of Administrative and Economics Sciences

The current research aims to identify and understand integrated reporting reports and to demonstrate their impact in investment decisions of publicly traded companies listed on the Iraq Stock Exchange and their role in enhancing the market value of these companies. To achieve this objective, a questionnaire was distributed to a group of investors in the Iraq Stock Exchange and processed using the SPSS statistical software. The questionnaire was analyzed using several statistical methods (factor analysis, correlation coefficient, and simple linear regression). The research reached several conclusions, the most important of which is that integrated reporting reports are a means of …


The Role Of Green Accounting In Achieving Sustainable Development Through The Quality Of Accounting Information: An Empirical Study Of Iraqi Industrial Companies, Ahmed Neamah Abed, Anmar Adnan Khudhair, Farqad Mohammed Bakr Al Saadi Aug 2026

The Role Of Green Accounting In Achieving Sustainable Development Through The Quality Of Accounting Information: An Empirical Study Of Iraqi Industrial Companies, Ahmed Neamah Abed, Anmar Adnan Khudhair, Farqad Mohammed Bakr Al Saadi

Muthanna Journal of Administrative and Economics Sciences

The goal of this study is to highlight the role of green accounting, both direct and indirect, via the quality of accounting information, in achieving sustainable development goals in industrial companies in Iraq. The methodology was done based on data obtained in 2026 through a questionnaire sent to a random sample of 110 employees (accountants, heads of finance departments, finance managers and internal auditors) in industrial companies listed on the Iraq Stock Exchange. Structural equation modelling (SEM) was used to test the hypotheses and pathways by applying AMOS software. Furthermore, the results indicated that the green accounting is positively and …


Non-Parametric Bayesian Modeling For Predicting Financial Market Volatility, Maab Adil Sabbar, Ahmed Imad Jawad Alradhi Aug 2026

Non-Parametric Bayesian Modeling For Predicting Financial Market Volatility, Maab Adil Sabbar, Ahmed Imad Jawad Alradhi

Muthanna Journal of Administrative and Economics Sciences

This study examines methodological developments in modeling financial market volatility, with a particular focus on Bayesian nonparametric approaches as flexible alternatives to traditional parametric models such as GARCH and stochastic volatility frameworks. While characteristics of financial time series—including fat tails, volatility clustering, asymmetry, and structural breaks—limit the effectiveness of rigid parametric specifications, nonparametric Bayesian tools such as Dirichlet Process Mixtures offer adaptive probabilistic structures that better capture the true behavior of returns.
Using daily data from the ISX Main 60 Index, the empirical analysis shows that although the GARCH(1,1) model achieves a good statistical fit, stable volatility estimates, and accurate …


Evolution Of Global Sea‐Level Rise Projections And Their Uncertainty, Andra J. Garner, Amy Appollina, Jessica Slotter, Gregory G. Garner, Aimée B. A. Slangen, Robert E. Kopp, Benjamin P. Horton Aug 2026

Evolution Of Global Sea‐Level Rise Projections And Their Uncertainty, Andra J. Garner, Amy Appollina, Jessica Slotter, Gregory G. Garner, Aimée B. A. Slangen, Robert E. Kopp, Benjamin P. Horton

School of Earth, Environment, and Society Faculty Publications and Presentations

For more than 40 years, scientists have projected future sea‐level change. Documenting how sea‐level projections have evolved is vital for tracking progress, uncertainties, and future research needs. Here, we update and analyze a database of global‐mean sea level (GMSL) projections dating from 1982 to 2025, identifying five key findings. First, GMSL projection generation has been concentrated in a small number of developed countries, with 95% of projections produced in the United States, United Kingdom, European Union, or Australia. Second, while GMSL projections for 2050 and 2100 have been published regularly since the early 1980s, only 30 of 103 studies have …


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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 Aug 2026

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 …


Oregon State Rank Assessment For Schweinitz's Cyperus (Cyperus Schweinitzii), Nora Dunkirk Aug 2026

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 Aug 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 Aug 2026

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 …