Digital Commons Network^™

Nature-Based Activities To Support Mental Ill Health (Greengage): Protocol For A Pilot Randomised Controlled Trial And Process Evaluation, Caroline Jenkinson, Katie Gibbs, Rebecca Lovell, Alison Hurst, Kerryn Husk, Katrina Wyatt, Obioha C. Ukoumunne, Siobhan Creanor, Anne Spencer, Ruth Garside

Peninsula Medical School

Anxiety and depression are among the leading mental health difficulties worldwide. Nature-based interventions are increasingly being used to support mental health and wellbeing. There is growing policy interest in the use of nature as a setting for interventions. However, there remains a lack of robust evidence on their effectiveness and cost-effectiveness.

Guide To Automated Surge Irrigation In Utah, Ngoni Mufute, Matt Yost, Burdette Barker, Clay Carter, Jonathan A. Holt, Grant Cardon

All Current Publications

This guide discusses the benefits and drawbacks of automated surge irrigation and the equipment needed for setup to make it beneficial to irrigators.

Moral Ecology In Shakespeare's Tragedies: Nature, Animals, And Conscience As Ethical Agents In Hamlet, Macbeth, And King Lear, Md. Abu Bakkar

Journal of Language, Literature, and Arts

Shakespeare's tragedies repeatedly dramatize a universe in which moral transgression produces consequences that extend beyond individual psychology to affect society, nature, and the non-human world. This study examines how Hamlet, Macbeth, and King Lear construct a system of moral ecology, understood as a framework of ethical causality in which human actions generate interconnected consequences across psychological, social, and natural orders. Using qualitative close reading informed by moral criticism, ecocriticism, animal studies, and early modern cosmology, the study analyzes selected passages representing natural disturbance, animal imagery, and conscience as forms of ethical response. The findings show that the three …

Faculty Development Courses On Ai: Introducing The Faculty Ai Capability Selection Framework, Dan R. Bradbury, Barbara Jo White, H. Kevin Fulk, Raymond Large

Southwestern Business Administration Journal

University faculty members are faced with how to best address pressing needs for building artificial intelligence (AI) skills.  Some of these needs are student-focused, as employers seek graduates with useful AI skills.  Faculty members, understanding how generative AI can impact the work they do, also face pressures to enhance their own skills and comfort using AI tools.  In this article, we consider AI capabilities that are impacting organizations’ expectations for new college graduates as well as AI capabilities changing the shape of faculty members’ work.  We propose the Faculty AI Capability Selection Framework as a means to guide the development …

Agree To Disagree? Classification Agreement Among Discrepancy-Based Sld Models Used In School Psychology, Emma M. Ferns, Carlos O. Calderón-Tena

Journal of Educational Research and Practice

For decades, school psychologists have attempted to operationalize the federal definition of the most prevalent disability under the Individuals with Disabilities Education Act (IDEA), specific learning disability. These attempts have led to three major identification method camps: the severe discrepancy approach, the patterns of strengths and weaknesses (PSW) approach, and the response-to-intervention approach—all of which are federally permissible under the IDEA. This study aimed to determine whether three operationalizations of the severe discrepancy approach (simple severe discrepancy using 1 and 1.5 standard deviations and the regression approach) identified the same students as those classified by their school as having an …

A Framework For Teaching Maya Aspect System: Pedagogical Strategies For Maya Grammar, Quetzil E. Castañeda

Journal of Maya Heritage

Abstract. Maya, an Indigenous language spoken primarily in Mexico’s Yucatán Peninsula, remains under-resourced in materials for second-language and heritage-language learners. Its agglutinative morphology, split ergativity, and aspect system pose particular pedagogical challenges, especially when Maya grammar is explained through Spanish or English tense categories. Based on a critical review of existing teaching resources and the author’s more than twenty years of experience teaching Maya, this article proposes a pedagogical framework for understanding its aspect grammar. Rather than organizing verbal morphology around tense, the framework distinguishes four principal conjugational forms: Ongoing Incomplete, Simple Past, Completed Present, and Subjunctive. It also introduces …

Decoupled Agent Architecture For Function-Based Remote Device Automation, Qingfei Tian

Defensive Publications Series

Orchestrating specific, function-level actions across heterogeneous fleets of electronic devices, such as smartphones, wearable devices, or smart home appliances, can present challenges, as methods like user interface scripting may be less reliable and placing complex logic on resource-constrained devices can be impractical. A system using a decoupled agent architecture may address these challenges. A remote agent, operating in a resource-rich environment such as a cloud server, can interpret high-level goals and translate them into a sequence of structured, function-based commands. A lightweight on-device agent may receive these commands via a communication relay and execute them programmatically using local device application …

Refereed Research - Indispensable Yet Not Fully Legitimate: Street Markets As Invisible Subsistence Infrastructure, Raji Srinivasan, Maria C. Merino

Subsistence Marketplaces

Street markets are key provisioning systems across the Global South, supplying fresh food, employment, and retail access absent formal infrastructure. Yet despite street markets’ functional indispensability to millions of low-income consumers, their legitimacy is chronically contested, affirmed by vendors and communities yet challenged by planners, developers, and state authorities who apply formal-economy criteria in evaluating them. We theorize this as a legitimacy paradox and ask what structural mechanisms sustain it? Using composite vignettes grounded in fieldwork, we theorize three mechanisms. First, visibility without recognition: street markets are hyper-visible yet excluded from cognitive templates of legitimate, formal retail. Second, asymmetric essentiality: …

20 Multifunctional Solutions For Hydraulics And Structural Frameworks Of Legged Robots: Self-Diagnostic Cartridge Valves, Mrf And Niti-Based Damping, Parametric Metamaterials, And Predictive Diagnostics, Volodymyr Kotegov

Defensive Publications Series

This document discloses twenty technical solutions for hydraulic drives, structural frameworks, and diagnostic systems of legged robots, unified by the design principle of a single physical element performing two or more functions simultaneously. These solutions encompass: self-diagnostic valves and seals utilizing impedance, piezoelectric, and NiTi mechanisms; damping and energy-recuperating structures based on magnetorheological fluids and liquid crystal elastomers; parametric metamaterial cells combining elastic, valving, and resonant functions; architectural designs for hardware-level hydraulic network survivability operating independently of electronics; cartridge interfaces with integrated opto-acoustic and electrochemical diagnostics; and a comprehensive structural joint architecture featuring three-level passive clamping and hydraulic lines routed …

Low Bandwidth Full-Duplex Multimodal Llm Interaction With Contextual Interruption, Longlong Zhu, Weiyue Huang

Defensive Publications Series

Multimodal LLMs implemented on a server can support remote user interaction over a network but require continuous real-time streaming of raw, uncompressed video and/or audio. This can be infeasible due to bandwidth constraints or other reasons, and can prevent real-time feedback in time-sensitive interactive settings. This disclosure describes an asymmetric edge and cloud collaborative architecture that can enable full-duplex and seamlessly interruptible multimodal LLM orchestration at low latency. The architecture decouples sensor processing tasks from cognitive reasoning tasks involved in interaction between a user and a multimodal LLM via modalities such as audio, video, or image. Computationally heavy processing of …

Efficient In-Context Retrieval For Search Ads Via Pre-Computed Corpus Key-Value Caching, Ladan Rabiee, Felix Yu, Ruiqi Guo, Chris Collins, Tianyin Zhou

Defensive Publications Series

A system performs large-scale information retrieval using a large language model (LLM) by pre-computing a key-value (KV) cache for a document corpus. The retrieval prompt is structured into static and dynamic parts, where the static portion includes system instructions and the entire document corpus. In an offline process, the LLM processes this static portion to generate and store a corresponding KV cache. During online inference, the system loads the pre-computed KV cache and appends the dynamic user query, which enables the LLM to perform its attention-routing task without reprocessing the entire corpus. A layerwise prefilling technique manages the memory footprint …

Dynamic Print Trigger Compensation For A Moving Robotic Printer, Hp Inc

Defensive Publications Series

This disclosure describes a dynamic print-trigger control method for a printhead carried by a moving robotic platform. A liquid drop requires a finite time to travel from the printhead to the target surface. During this flight time, the robotic platform continues moving and may accelerate or decelerate, causing the drop to reach a position different from the intended printing position. The control method predicts the drop flight time using the printhead-to-surface distance and characteristics that affect drop ejection velocity, and predicts the movement of the robotic platform during the flight interval. The print trigger is then advanced or delayed so …

Sla-Based Asynchronous Request Processing System Using Failure Response Mode, Hp Inc

Defensive Publications Series

This disclosure relates to the field of request handling in distributed network services that depend on other services. A system is disclosed that evaluates operational health signals for each service it calls and, when the evaluated condition of one of those services crosses a configured threshold, places itself into a failure-response mode for that one dependency. While the mode is active, handling is chosen from the semantics of each request. A read request receives an immediate error response, while a state-changing request is preserved in a durable store and acknowledged within the same call by an acceptance response that also …

Pre-Execution Dollar-Cost Query Router With Policy-Gated Cross-Engine Execution, Pravesh Kumar

Defensive Publications Series

The present disclosure relates to a method and a system for routing a structured query across a plurality of heterogeneous query execution engines. The present disclosure suggests receiving a query execution request including a structured query and parsing the query to generate a canonical representation of the query. The present disclosure also suggests determining an estimated execution cost based on at least scan characteristics associated with the query and a runtime estimation associated with execution of the query. Thereafter, the present disclosure suggests determining a policy compliance condition for each of the plurality of heterogeneous query execution engines based on …

Changing The Wind’S Direction: Reflections On Ian Shapiro’S After The Fall, Stefan Eich

Emancipations: A Journal of Critical Social Analysis

No abstract provided.

Premolar Extraction, Upper Airway Changes, And Obstructive Sleep Apnea Risk: A Narrative Review, I-Ta Lee

Articles in Press

No abstract provided.

System And Method For Temporally-Correct Point-In-Time Embedding Reconstruction From Append-Only Accumulator Delta Logs, Durga S. Kala, Xinrong Huang, Nishanth Telukunta, Sreekanth Kanichetty

Defensive Publications Series

A system (200) for point-in-time reconstruction of time-decayed behavioral embedding accumulator states for payment entities includes an append-only accumulator delta log (202) that records, for each accumulator update event, an entity identifier, an exact authorization timestamp, a D-dimensional embedding delta, a pre-computed exponential decay factor, and the resulting accumulator weight. A checkpoint store (204) periodically snapshots the accumulator state including a decayed sum, a total weight, and a timestamp for each entity. A reconstruction engine (206) reads the latest checkpoint prior to a query timestamp, replays all delta log entries for the entity with timestamp strictly less than the query …

Decoupled Pricing And Fulfillment Arbitrator For Multi-Destination Agentic Commerce Systems, Richa Gupta

Defensive Publications Series

A decoupled pricing and fulfillment arbitrator extends the Universal Commerce Protocol (UCP) to maintain volume-based discounts for e-commerce orders shipped to multiple destinations. The system operates through a two-phase cryptographic handshake, where the arbitrator first validates the total item quantity in a cart to secure a global price lock from a merchant’s application programming interface (API). The arbitrator then atomizes the single order into multiple, concurrent fulfillment requests, one for each distinct shipping address. By embedding a cryptographic bulk token into each parallel request, the arbitrator instructs the merchant’s system to bypass standard single-destination validation rules and apply the pre-approved …

Cpeven‑Ω2.0 Caldwell Planetary Environmental Verification & Early‑Warning Network, Michael Victor Caldwell Mr.

Defensive Publications Series

CPEVEN‑Ω2.0 is a fully open, modular, multi‑physics environmental measurement and verification architecture designed for global deployment. It integrates reference‑grade sensors, distributed open nodes, multi‑physics correlation, artifact detection, uncertainty‑aware fusion, satellite/model comparison, source attribution, and experimental technology validation into one unified system.

CPEVEN‑Ω2.0 is not a sensor.

It is not a weather station.

It is not a model.

It is not a prediction engine.

It is a planetary environmental verification network that preserves raw measurements, validates experimental technologies, correlates multi‑domain signals, and produces reproducible environmental intelligence.

Every module is open hardware.

Every interface is documented.

Every measurement is traceable.

Every experimental …

Selective Bookmarking And Curated Export Of Conversational Ai Message Turns To External Documents And Notebooks, Richa Gupta

Defensive Publications Series

In multi-turn conversations with conversational artificial intelligence, details established in earlier turns are prioritized less than more recent turns as a session grows longer, and locating or reusing valuable content from within a long conversation typically requires scanning the full transcript or manually copying individual passages. This disclosure describes a message-anchoring and bookmarking approach in which each conversational turn is assigned a persistent identifier. A cited identifier is used to isolate and prioritize the corresponding turn, while unrelated conversational content is masked from further processing. Selected turns are additionally flagged through a bookmarking control, and the flagged turns are compiled, …

Remote Control Using Render Buffer Accessibility Extraction, Inductively Powered Electrophoretic Keycaps, And An Ultra-Wideband Pointing Latch, Stenal P. Jolly

Defensive Publications Series

Streaming applications on a smart television often render an interface into a single hardware-accelerated graphics surface.  A native accessibility engine may treat that surface as one opaque node, and printed remote keycaps do not follow the content on screen.  A remote control system addresses these limitations by extracting geometry and text directly from a graphics processing unit (GPU) render buffer of a host computing device.  The system rebuilds a virtual accessibility tree once per render frame.  Compact per-key updates travel over a low-energy wireless link to electrophoretic keycap displays, and inductive power regulation holds each keycap display at a steady …

Contention-Based Write Pulse Modulation On A Replica Timing Path For Process-Tolerant Sram Write Operations, Abhishek Dalal, Ayush Kulshrestha, Ajith K. P, Guru Shamanna, Akash Jha

Defensive Publications Series

Write margins in a static random-access memory (SRAM) array shift with semiconductor process variation, and the shift grows severe at the slow-NMOS/fast-PMOS (SF) corner, where a strong pull-up network inside a storage cell resists an overwrite.  A raised supply voltage widens that mismatch gap further.  A write pulse modulation method addresses the problem by coupling a contention circuit to the dummy bitline of a replica timing path.  The contention circuit holds an active pull-up against a dummy pull-down network, so the discharge rate of the dummy bitline follows the local ratio of PMOS drive to NMOS drive.  Reset logic ends …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

Steering Generative Ai Responses By Predicting User Intentions Using Slms And Behavioral Telemetry, Rachit Mathur, Payal Shah

Defensive Publications Series

Current conversational AI systems rely on monotonic streaming, requiring users to wait for complete responses before correcting misinterpretations. This disclosure describes a bifurcated dual-dispatch architecture that steers generative AI outputs mid-stream. By pairing a localized Small Language Model (SLM) shadow parser with a high-capacity frontier LLM, the system dynamically analyzes real-time client-side behavioral telemetry - including keystroke dwell times, backspace mutation ratios, and paste metadata to predict user intent and cognitive friction. When volatile semantic nodes or potential intent mismatches are detected, the SLM executes pre-emptive mitigations by tuning inference hyperparameters (such as temperature) or surfacing non-blocking, inline "intent chips" …

Portrait: Holistic Data Visualization Using Neural Networks, Chayan Maitra

Doctoral Theses

With the exponential growth of complex data across domains, effective visualization has become increasingly crucial for understanding relationships hidden within high-dimensional spaces. However, existing visualization techniques often struggle to effectively capture and represent such high-dimensional data. Motivated by this challenge, we have developed NeuroDAVIS, a neural network model designed to visualize high-dimensional data by extracting meaningful latent representations through deep feature extraction. While NeuroDAVIS has successfully addressed the visualization aspect, we have soon recognized the necessity of identifying the most relevant features that contribute to the visualization and downstream analysis. To address this issue, we have extended our framework and …

2026-2027 Philharmonia Season Program, Lynn University Conservatory Of Music, Lynn Philharmonia, Guillermo Figueroa, Kenneth Amis, Jon H. Robertson, Aidan Quintana

Philharmonia

Lynn University Wind Ensemble ("The Wind Symphony: Movement 4)

• Saturday, Sept. 19, 2026 at 7:30 p.m.
• Kenneth Amis, conductor

Lynn Philharmonia No. 1 ("Mystery and Revelation")

• Saturday, Oct. 3, 2026 at 7:30 p.m. and Saturday, Oct. 3, 2026 at 7:30 p.m.
• Guillermo Figueroa, conductor
• Kenneth Amis, tuba

Lynn Philharmonia No. 2 ("Halloween Spectacular!")

• Saturday, Oct. 3, 2026 at 7:30 p.m. and Sunday, Nov. 1, 2026 at 3 p.m.
• Guillermo Figueroa, conductor

Lynn Philharmonia No. 3 - Concerto Competition Winners' Concert

• Saturday, Nov. 14, 2026 at 7:30 p.m. and Sunday, Nov. 15, 2026 at 3 p.m.
• Guillermo Figueroa, conductor

Lynn Philharmonia …

Teaching Individuals With Autism To Mand For Choice-Making Opportunities, Sarah T. Kong

Doctoral Dissertations - College of Arts and Sciences

The integration of choice-making opportunities into behavior analytic treatment has produced improvements in the lives of individuals with autism. Although researchers have focused on improving staff presentation of choice-making opportunities (Van der Meer et al., 2017), this approach places choice-making under the stimulus control of staff initiations and may result in missed opportunities for the child to make choices when it is most valuable to them. We evaluated the effectiveness of a mand training procedure to teach individuals with autism to request choice-making opportunities. Single trials were interspersed into participants’ typical treatment programming and contexts were designed to establish the …

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Caregiver Perspectives On Barriers And Facilitators To Adolescent Asthma Self-Management, Sangita Pudasainee-Kapri, Mei Rosemary Fu, Mary Wunnenberg

International Nursing Research Congress (INRC)

Background: Asthma is the most prevalent chronic disease in children and adolescents, disproportionately affecting minority adolescents from lower-income families (CDC, 2022). Adolescents from low-income and marginalized communities often face unique challenges with asthma control and management due to multiple adverse social and environmental factors. Caregivers play a critical role in daily asthma management (Margolis et al., 2019), however, self-management behaviors in minority families may be influenced by several individual and system level factors (Khan et al., 2021; Holley et al., 2017).

Purpose: This study aims to understand caregivers’ perspective on multilevel barriers and facilitators to adolescent asthma self-management in Camden …