Digital Commons Network^™

"Making The Familiar Strange": The Ecocentric Power Of Climate Fantasy, John Cook

Mythlore: A Journal of J.R.R. Tolkien, C.S. Lewis, Charles Williams, and Mythopoeic Literature

Contributing to the failure to address climate change is a lack of public imagination, both in perceiving the threat of climate change and conceptualizing solutions. Climate fiction engages readers on an emotional level and speculative fiction in particular can invent alternative worlds illustrating different ways of thinking and living. Fantasy fiction is uniquely suited as a form of climate fiction, with its immersive, subversive qualities, prioritization of the nonhuman, and a tendency towards sprawling, multiple-volume epic series. This paper explores two categories of climate fantasy themes. One category is recovery—regaining a clear view of the natural world. The other is …

Kaleidoscopic Portraits Of The Joycean Reader, Zoe Patterson

James Joyce Literary Supplement

No abstract provided.

Without Borders, Lauri A. Niskanen

James Joyce Literary Supplement

No abstract provided.

Multimodal Generative Biosignal Synthesis Using Continuous-Time Diffusion, Dongeek Shin

Defensive Publications Series

Everyday wearable devices, such as smartwatches, smart rings, and fitness trackers, track valuable health metrics, but analyzing this data becomes tricky when sensors record at different speeds, miss measurements, or get bumped during exercise. Traditional processing methods attempt to fix this by dropping or padding data, which visibly destroys important physiological details. This publication describes a generative artificial intelligence (AI) system that uses machine learning to seamlessly combine health signals recorded at different speeds, automatically reconstruct corrupted data gaps (data imputation), and dynamically generate a biometric profile or digital twin of the user’s physiology to run interactive “what-if” simulations and …

System And Automated Method For Isomorphic Concept Discovery And Cross-Domain Architectural Synthesis Via Controlled Hallucination And Reverse Constrained Mapping: Vector-Isolated Rag Pipeline And Bi-Directional Optimization Loop For Open-Domain Structural Analogy Generation., Herbert Gillis

Defensive Publications Series

An automated data processing system and computer-implemented method are disclosed for programmatically synthesizing novel structural architectures in a vacant target domain space utilizing the invariant physical or structural laws of a highly validated source domain. The system executes a generative forward loop by extracting an ordered tuple of structural and functional mechanics from a source domain, removing forward-validation lexicon filters, and enforcing aggressive semantic isolation and lexical pruning to block known industry-specific terms. Forced into a vector space void, an optimization engine or generative model synthesizes a structurally constrained neologism and an associated set of invented mechanisms. The system then …

Community-Based Water Management Through Cultural Ecosystem Services: Traditional Wisdom And Modern Adaptation In Senjoyo Spring, Indonesia, Puji Winarti, Sri Haryani, Sri Wardani, Langlang Handayani

Journal of Environmental Science and Sustainable Development

Small-scale freshwater ecosystems play vital ecological and cultural roles. However, community-based water management (CBWM) often lacks a clear analytical approach to integrating cultural ecosystem services (CES) and traditional ecological knowledge (TEK), limiting the practical understanding of culturally grounded governance. To address this gap, this qualitative study explores the interactions between CES and TEK, analyzes their roles within CBWM, and identifies their implications for sustainable water governance. The integration between cultural value and local ecological knowledge makes Senjoyo Spring an appropriate location for this study. Data were collected through interviews with 20 key informants, field observations, forum group discussions (FGDs), and …

Community-Based Well Testing And Outreach To Mitigate Human Health Risk From Unsafe Drinking Water, W. Adam Sigler, Katharine Sutphen, Margaret J Eggers, Kaleena Miller, Michelle Grocke-Dewey

Journal of Extension

Twenty-two percent of groundwater wells tested nationwide have one or more contaminants above a health threshold, yet many private well owners are unaware of these risks because they have not tested their water. Researchers piloted a community well testing clinic for education/outreach and surveyed participants about outcomes. Two months later, 75% of participants with high or intermediate health risk water quality results had taken action or intended to, indicating that community private well testing clinics can be effective in mitigating human health risks from contaminated drinking water.

Expressing Matrix Powers With Pell Numbers, Walby Encarnacion Cena

Rose-Hulman Undergraduate Mathematics Journal

Abstract. Motivated by the theory of Cayley hash functions, we aim to write a matrix as a product of another set of given matrices. Riley gave such an algorithm using Fibonacci numbers. We extend Riley’s work to the Pell numbers. We compare our algorithm to Riley’s method and find that it is an improvement in certain cases.

Two New Non-Parametric Item Selection Methods For Cd-Cat, Li Junjie, Zheng Huijing, Kang Chunhua, Yimu Zhang

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

Computerized adaptive testing for cognitive diagnosis (CD-CAT) is a method that combines cognitive diagnosis testing and computerized adaptive testing. Compared with traditional cognitive diagnostic tests, it is more efficient and offers more tailored insights into examinees’ knowledge state. As a core part of CD-CAT, the item selection method directly affects the accuracy and efficiency of the overall assessment. This study aims to construct two nonparametric item selection methods based on the Hamming distance nonparametric difference index (HD-NDI) and the general Hamming distance nonparametric difference index (GHD-NDI). Subsequently, the performance of the two proposed item-selection methods in CD-CAT is examined through …

Books And Media

Appalachia

Reviews of: The White Mountains Almanac by Frank Vazzano, illustrated by Sarah Kaizar; Farther: Eight Months on America’s Triple Crown Trails, by Heather Anderson; A Fabulous Thru-Hike: 3,100 Miles on the Continental Divide Trail by Derick Lugo; A Biography of a Mountain: The Making and Meaning of Mount Rushmore by Matthew Davis; Surviving the Trail: Five Essential Skills to Prepare Every Hiker for Adventure’s Most Common Perils by Dr. Rob Scanlon; Follow the White Blazes: A Journey of Recovery while Backpacking the Appalachian Trail by Eagle Trail Dancer; The First Traverse, a short film by Chris Shane; Temporary Shelters …

Fractal Three-Level Architecture For Reciprocity Economies: Self-Similar Family-And-Global Layering With A Single Mental Model — A Shared Three-Level Account Hierarchy (Pooled Fund, Give-Forward Account, Individual Account) For Family And Peer-To-Peer Payments, Thon Ly

Defensive Publications Series

This paper discloses an account architecture for a reciprocity platform — software through which people give one another money as thanks — designed to operate at two scales, within families and between strangers peer to peer, with one three-level account hierarchy at both, so that a participant who has learned the family-scale system recognizes the planetary-scale one. The three node types are a pooled fund that aggregates contributions and disburses them under published rules; a give-forward account, whose balance can only be passed on to other people; and an individual's own account. Four transfer conventions apply identically at each scale: …

The Impact Of Urban Morphology On Spatial Configuration And Socio-Spatial Structure: A Comparative Space Syntax Analysis, Tazra Kamaran Ismael, Abdulrazaq Zamil Menshid Al-Saedi

Journal of Environmental Science and Sustainable Development

Urban morphology plays a crucial role in shaping the spatial configuration, movement patterns, and socio-spatial interactions within cities. However, despite the extensive development of Space Syntax research, limited research has comparatively examined how contrasting urban morphologies influence spatial hierarchy, accessibility, and intelligibility within the same urban context, particularly in the rapidly transforming cities of the Global South. This study investigates the configurational characteristics of two contrasting urban sectors in Koya City, Iraq: the organically developed historic city centre and the planned grid-based Zanko neighbourhood. A Space Syntax analysis was conducted using axial maps generated in DepthmapX. The analysis was supported …

Spartan Daily, October 8, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 21

Montana Kaimin, October 8, 2026, Students Of The University Of Montana, Missoula

Montana Kaimin, 1898-present

Student newspaper of the University of Montana, Missoula.

Full Posterior Uncertainty Propagation In The Bg/Nbd Framework A Bayesian Foundation For Individual-Level Customer Behavior Modeling, Stuart V. Kerr

UNLV Gaming Research & Review Journal

The Beta-Geometric/Negative Binomial Distribution (BG/NBD) model of Fader et al. (2005) is used to describe repeat-transaction behavior in non-contractual settings: a latent visitation rate, heterogeneous across customers, governs how of- ten a customer transacts while active, and a latent dropout probability, also het- erogeneous, governs when a customer permanently churns. In its classical form, BG/NBD is estimated using maximum likelihood, producing single point estimates of the underlying population parameters and, from these, point estimates of each customer’s individual behavior. This paper develops the model from first princi- ples as a fully Bayesian framework, estimated using Markov Chain Monte Carlo (MCMC), …

The Organization Of Man Copy 2, William Whyte

Hannah Arendt Marginalia - All

Garden City, N.Y. : Doubleday, 1956.

Call # : BF697 .W47 1956 c2

Arendt c.2 contains marginal lining

PDF Information : 26 Pages, 7.2 MB

Free University Press: April 15th - 29th

UTA Underground Newspaper Collection

No abstract provided.

Free University Press: April 6, 1970

UTA Underground Newspaper Collection

No abstract provided.

The Organization Man, William Whyte

Hannah Arendt Marginalia - All

Garden City, N.Y. : Doubleday, 1956.

Call # : BF697 .W47 1956

Arendt c.1 contains underlining and marginal lining

PDF Information : 121 Pages, 38.2 MB

A Media Literacy Approach To Ai In Secondary Ela, Matthew Korona

Virginia English Journal

The rapid integration of generative artificial intelligence (AI) into academic, civic, and personal contexts requires students to develop the skills and dispositions necessary for ethical and critical engagement with AI‑mediated texts. While AI literacy is often framed as a technical competency associated with computer science, this paper argues that secondary English language arts (ELA) classrooms are uniquely positioned to support AI literacy through media literacy practices. Drawing on constructivist pedagogy, existing research on media literacy and AI literacy, and the Virginia English Standards of Learning, the article presents a framework that aligns core media literacy competencies with human–AI interaction. To …

The Vinaya Piṭaka As Training Corpus For Rule-With-Exception Reasoning In Ai Systems: Training Data And Evaluation Benchmarks For Rule Application And Exception Handling In Large Language Models, Thon Ly

Defensive Publications Series

Large language models are trained on corpora rich in mathematical proof, code, scientific argument and dialogue, and their rule application is measured by benchmarks for statutory, legal, moral-exception and defeasible reasoning. This paper describes a training-data and evaluation design for one part of that capability, applying a rule to a new case while recognising when the rule does not apply, built from the Vinaya Piṭaka, the monastic legal code of the Theravāda Buddhist canon. The Vinaya's rule-by-rule analysis, the Suttavibhaṅga, treats each rule it analyses in a recurring order: the case that prompted the rule; the rule text and any …

Active Artificial Intelligence Coprocessor, Side-Channel Shielding, And Cryptographically Bound Detachable Accessory For Mobile Devices, Google Case Managers Picozzi, Chaitanya Athaley

Defensive Publications Series

An active, hardware-software co-designed detachable accessory cryptographically couples with a host mobile device to securely offload and accelerate on-device machine learning execution, such as Large Language Models (LLMs). Governed by a kernel-level host execution scheduler, the system partitions model inference across host and auxiliary Neural Processing Units (NPUs) using asymmetrical speculative decoding to reduce inter-device communication overhead. To resolve mobile thermal and electrical limitations, the architecture integrates active Peltier cooling, dynamic tensor quantization scaling, and prefill-synchronized power shaving to protect host battery health and maintain sustained performance. System integrity and privacy are protected via a host secure enclave key escrow …

Essential Fluids With Matlab And Octave - Part 2 (Application), Panchapakesan Venkataraman

Open Access Books by RIT Staff and Faculty

This books continues from Essential Fluids with MATLAB and Octave (Part 1), , which is a free, open access, eBook that can be downloaded from the download page. The reader is encouraged to acquire the book as it will be referenced for figures, equations, and examples in Part 2. The reader is also encouraged to visit the prerequisites and information about fluid mechanics found in Chapters 1, 2, and 3 as they are not included in Part 2.

Investigation Of The Production Technology Of Environmentally Safe Urethane Oligomers Based On Local Raw Materials, Bakhtiyor Kudratovich Shaykulov, Dilafruza Ruziboevna Akbarova Gulboeva, Fayzulla Nurmuminovich Nurqulov

Technical science and innovation

This paper investigates the step-by-step poly condensation pathway for synthesizing environmentally friendly, non-isocyanate urethane oligomers derived from local and safe raw materials: urea and ethylene glycol. The influence of thermodynamic parameters on the target product yield was systematically evaluated to determine the optimum technological matrix. Specifically, a 1:2 reactant mass ratio, a stable stationary temperature of 150-155 °C, and a reaction duration of 2 hours under an inert nitrogen atmosphere resulted in a sustainable and reproducible yield of 72%. Thermal degradation and competitive side-product condensations were activated above 160 °C, leading to a sharp drop in overall chemical efficiency. The …

Automatic +1 Diffraction Order Detection In Off-Axis Digital Holographic Interferometry Using An Energy-Based Spectral Model, Nigora Alimdjanovna Akbarova, Dilnoza Ibrokhim Kizi Abdulkhayeva

Technical science and innovation

This paper presents an automatic +1 diffraction order detection algorithm for off-axis digital holographic interferometry (DHI Manual spectral filtering is widely used to find out the desired order of diffraction in the Fourier domain in conventional digital holographic reconstruction. Nevertheless, this approach is very subjective and must be subject to expert guidance, thus, the reconstruction reproducibility and stability can often deteriorate. To address these limitations, this designed scheme constructs a spectral model utilizing energy-maximization as well as adaptive DC suppression and dynamic filter radius estimates. The algorithm itself can automatically observe the distribution of energy in the hologram spectrum and …

Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources, Makhsud Idrisovich Makhmudov, Uktam Farkhodovich Mamirov, Siroj Sobirovich Nurov

Technical science and innovation

This paper presents the results of evaluating the metrological characteristics of a developed ultrasonic flowmeter intended for measuring water flow in open channels. The study analyzes the main sources of measurement errors and classifies them into methodological, instrumental, additional, systematic, and random components. Experimental investigations were carried out to estimate the random and systematic errors under steady-state flow conditions. Using the least-squares method, the systematic error was separated into additive and multiplicative components, providing a basis for calibration and correction of the measurement results. The reliability of the developed measuring instrument was evaluated using the failure rate method based on …

Good Governance In The Concept Of Climate Justice: Decarbonisation Policies In Economic Considerations Of Losses And Sacrifices, Daryanti Daryanti, Albertus Sentot Sudarwanto, Erna Dyah Kusumawati, Rosita Candrakirana

Journal of Environmental Science and Sustainable Development

Projections of losses resulting from the impacts of climate change in Indonesia are estimated to reach USD 30.5 million, affecting four key sectors: agriculture, water supply, health, and the maritime sector. This study shows that good governance based on climate justice in the implementation of decarbonization policies is the most important factor in avoiding long-term economic losses caused by the adverse impacts of climate change or investing in climate resilience. This study employed a normative methodology using a statutory approach to examine efforts related to climate change mitigation and adaptation. The findings of this research indicate that regulations in Indonesia, …

On The Issue Of Developing Diagnostic Systems In Case Of Incompleteness Of Data, Amanulla Azizovich Kadirov, Shohijahon Ulugbek Ugli Akhmetov

Technical science and innovation

This paper addresses the problem of developing diagnostic systems for industrial equipment when initial failure data is incomplete or unavailable. An approach is proposed for generating synthetic data based on a pseudo-failure generator that implements stochastic modeling of degradation processes. A formalized algorithm for generating time-to-failure samples has been developed, including stages of failure physics analysis, statistical model selection, distribution parameterization, and simulation of operating conditions. The Weibull distribution is used as the base model, allowing for the consideration of various stages of the equipment’s life cycle. Additionally, factors that bring the synthetic data closer to real operating conditions are …

Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty, Azizbek Nodirbekovich Yusupbekov, Marufjon Kobuljonovich Shodiev, Khusniddin Mamarasul Ugli Esonov

Technical science and innovation

This section proposes a multi-criteria Pareto-optimization algorithm, integrated with Herbert Simon's four-stage decision-making scheme (Intelligence–Design–Choice–Implementation) and an ANFIS-based adaptive controller, for simultaneously optimizing the mutually conflicting quality, energy, and time criteria of the wheat-drying process. The algorithm for constructing the set of Pareto-optimal solutions and selecting the compromise solution closest to the ideal point is presented step by step. The implementation of the ANFIS controller in the MATLAB/Simulink environment is comprehensively verified through a simulation block diagram, the Rule Viewer, the Surface Viewer, the training error-function graph, the RMSE convergence graph, and a learning-curve analysis. Training was carried out on …

Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models, Mirkhalil Agzamovich Ismailov, Boburbek Zokirjon Ugli Mannobjonov

Technical science and innovation

This paper presents the development and investigation of hybrid neural network and fuzzy models for the mathematical modelling of nitrification and denitrification processes in a biological wastewater treatment bioreactor. A comprehensive approach is proposed, integrating a mechanistic model of the ASM1/ASM2d type with neural networks (LSTM and Gaussian Process Regression), as well as a fuzzy control system based on an extended set of expert rules. A digital twin of the bioreactor was developed to allow for the prediction of the dynamic behavior of key parameters such as NH₄⁺, NO₃⁻, dissolved oxygen, etc. within a prediction range of 1 to 12 …