Digital Commons Network^™

Enhancing The Ability To Construct Scientific Explanations Among 7th-Grade Students Using A Diagram-Based Scientific Explanation Learning Model With Scaffolding Techniques, Kanchana Yongdee, Chaninan Pruekpramool

Journal of Education Studies

Previous instructional approaches have effectively developed the claim and evidence components of students’ ability to construct scientific explanations. However, the reasoning component remains unclear. This convergent parallel mixed-methods research aimed 1) to study seventh-grade students’ level of ability to construct scientific explanations during learning using the diagram-based scientific explanation learning model with scaffolding techniques, and 2) to study seventh-grade students’ level of ability to construct scientific explanations after learning. The target group consisted of 32 seventh-grade students from a school under the Office of Secondary Education Service Area in Kanchanaburi Province, selected through purposive sampling. Research instruments for collecting data …

How Far Do A Smile And A Hand Held Tight Reach? Children’S Play As A Transdisciplinary Predictor Of The Trajectory Of Physicochemical Processes On Atomic, Molecular And Cellular Scales, Evangelina Wu Uskoković, Theo Wu Uskoković, Vuk Uskoković

Administration and Staff Articles and Research

The search for an intrinsically beautiful scientific project took two children and their parent to over 600 visits of 181 playgrounds scattered throughout northern, central and southern California over the period of more than three years. Their goal was to test the hypothesis that children’s happiness and fondness for communication at playgrounds could be used, through complexity and entropy as intermediary quantities, as predictors of the evolution of physical, chemical and biological phenomena on microscopic scales ranging from the atomic to the cellular. Specifically, a link was sought between the children’s responses at play and the reaction paths of physicochemical …

Spectrum, Volume 57, Issue 2, Sacred Heart University

Newspapers (Obelisk & Spectrum)

Highlights include:  Building the Future -- Pouring on Park Ave! --  The RD Is In -- College is More Than Classes -- Family Weekend Schedule -- Rowing Revamp from Bow to Stern

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) 2025 Surface Water Compliance Evaluation Technical Memorandum (Dated June 29, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Enviromental Burden And Financial Performance Of Manufacturing Companies On Borsa Istanbul: An Exploratory Circular-Economy-Aligned Assessment Using The Aroman Method, Sibel Fettahoglu, Ejder Ayçin, Büşra Karslı Günay

Journal of Environmental Science and Sustainable Development

Türkiye's 2053 net-zero emissions target and the critical role of the manufacturing sector in this process necessitate an urgent examination of the financial impacts of circular economy (CE) practices. This study provides an exploratory analysis of the relationship between environmental burden and financial performance using 2023 data from 26 manufacturing companies in Borsa Istanbul. Given the difficulty of measuring holistic circularity at the company level, this study operationalizes the environmental dimension of circular economy performance using selected environmental burden indicators, including energy and water consumption, greenhouse gas emissions, and waste generation. The study uses the alternative ranking order method accounting …

K 1-6 Is A Photoionised Interstellar Medium Nebula Shaped By A Fast-Moving Hot White Dwarf In A Triple System, Jaroslav Merc, David Jones, Ana Escorza, Henri M. J. Boffin, Nicole Reindl, Michael Abdul-Masih, Thomas Masseron, Paulina Sowicka, Jan Kára, Jorge Jorge García-Rojas

Physics & Astronomy Faculty Publications

Aims. K 1-6 has long been classified as a planetary nebula (PN) hosting a binary central star; however, it has remained poorly studied due to its faintness. The central star exhibits pronounced photometric variability whose origin is still unclear. We present a comprehensive characterisation of the K 1-6 system, including the physical properties of its stellar components and the nature of the surrounding nebulosity.

Methods. We conducted a multi-wavelength analysis combining optical and UV spectroscopy obtained with the Gran Telescopio Canarias, the Telescopio Nazionale Galileo, the Nordic Optical Telescope, and the Hubble Space Telescope. We also present long-term multi-band ground- …

Legal Shifts And Judicial Inconsistencies In Strict Liability After The Omnibus Law: A Critical Analysis Of Indonesian Environmental Law For Responsible Mining And Esg Compliance, Nurul Listiyani, Khenza Atthaya Namira Yulianto

Journal of Environmental Science and Sustainable Development

The legal significance of strict liability in mining arises from the sector’s capacity to generate technically complex, diffuse, and long-latency environmental harm that is difficult to address through fault-based litigation alone. This study aims to evaluate how the post-Omnibus Law reformulation of Article 88 of Law No. 32 of 2009 has affected the doctrinal autonomy, judicial consistency, and practical enforcement of strict liability in Indonesian environmental law. The research used normative doctrinal legal research including statutory, case-law, conceptual, comparative, and evaluative analyses. The data cover the 2009–2025 period and consist of two core statutory formulations of Article 88, the Job …

A Viable Energy-Saving Solution For Sustainable Development: High-Efficiency Electric Motors Lspmsm, Le Anh Tuan, Do Nhu Y, Nguyen Thi Lan

Journal of Environmental Science and Sustainable Development

In the context of sustainable development, energy-efficient conversion technologies play an important role in reducing energy consumption and minimizing environmental impact. High-efficiency line-start permanent-magnet synchronous motors (LSPMSM) have emerged as a promising alternative to conventional motors. This study investigates the potential of LSPMSM as a viable solution for sustainable industrial development. An integrated approach combining motor design optimization, performance analysis, and environmental impact assessment is applied to evaluate the benefits of replacing conventional low-efficiency IE1 squirrel-cage induction motors (SCIM) with the proposed solution. A proposed step-skewed permanent magnet (PM) configuration of LSPMSM 2.2 kW, 4 poles is introduced. The proposed …

Knowledge-Enhanced Feature Store For Operational Ml And Llm Workflows, Saurabh Suman

Master's Theses

Modern machine learning (ML) organizations rely on feature stores to manage training and production data, yet as catalogs grow to thousands of features, semantic management becomes the bottleneck: discovery, governance, and metric selection remain largely manual. This thesis proposes and evaluates a knowledge-enhanced feature store that augments a dual-plane store with a hybrid knowledge layer—relational provenance, a lineage graph, semantic vector retrieval, and an online cache—and an LLM-driven multi-agent layer for profiling, matching, grounded metric recommendation, and pipeline generation. A working prototype was evaluated across three task families—semantic profiling, feature-matching retrieval, and discovery—using classification, ranking, and operational metrics computed by …

Temporal Variation In Picophytoplankton Pigment Phenotypes Of Two Urban Rivers, Kylee M. Lamberson, Camille E. Wendlandt, Kristin E. Forgrave, Anne W. Thompson

International Journal of Undergraduate Research and Creative Activities

Picophytoplankton are a group of photosynthetic, unicellular organisms, making them key primary producers in aquatic ecosystems. These cells numerically dominate in oceans and lakes where picophytoplankton communities contain phenotypic subpopulations that correspond to biogeographic patterns. In rivers, however, such community dynamics are less studied. We examined the phenotypic subpopulations of picophytoplankton in two converging urban river environments of Portland, Oregon (USA): the Columbia and the Willamette Rivers. From September 2022 through July 2023, we took roughly bi-weekly surface water samples and used multi-laser flow cytometry to distinguish between photosynthetic cells based on their size and pigment fluorescence. We discovered seven …

Shrinkage Of Jupiter's Great Red Spot, Richard W. Schmude Jr.

Georgia Journal of Science

This report summarizes changes in Jupiter's Great Red Spot (GRS) on the multi-decade time scale.  The mean shrinkage rates for 1960-2016 are 0.21 degrees/year (east-west) and 0.52 degrees/year (north-south).  The east-west shrinkage rate is much higher than the corresponding value for Oval BA.  Between 1878 and 2026, the GRS area shrunk by over a factor of four with a mean annual shrinkage rate of 1.0 %.  The GRS quotient (east-west length in degrees longitude divided by north-south length in degrees latitude) has decreased.  This is consistent with the GRS becoming more circular with time.  This is different than Oval BA, …

Integrated Fire Protection Design In Pharmaceutical Manufacturing Facilities: An Applied Case Study, Eman Osman Mahmoud Osman, Fouad Abdel-Mawgoud Abdel-Halim Qasim, Alaa El-Din El-Sayed Farid Hassan

HBRC Journal

The architectural design of pharmaceutical manufacturing facilities presents a complex engineering challenge, requiring simultaneous compliance with Good Manufacturing Practice (GMP) containment standards and life safety egress codes. This research presents an applied methodology for integrated fire protection design in sterile pharmaceutical environments, demonstrated through a case study of a manufacturing complex comprising cleanroom production zones and high-bay storage warehouses with heights reaching 14.8 m. The study reconciles facility classification under the Egyptian Fire Code and NFPA standards by defining Occupancy Hazard Groups W-1 and W-2 (high- and moderate-hazard storage), while utilizing regulatory Code Tables C-1 and C-2 to calculate occupant …

Dynamic Browser-Native Content Simplification And Contextual Injection Based On Historical Interaction And Localized Expertise Modeling, Abhay Prakash

Defensive Publications Series

Browser-native content adaptation modifies web-page content represented in a Document Object Model (DOM) based on contextual information indicating a user’s familiarity with the subject matter of the content.  A user expertise profile is generated from historical interaction data including browser history, searches, pages read, semantic exposure, frequency of encounters, dwell time, and viewport activity.  Before or during rendering of a target page, terms, acronyms, sentences, images, and other content are evaluated against the profile and/or page context.  Content determined to be unfamiliar to the user is adaptively modified by, for example, expanding acronyms, adding contextual explanations, simplifying language, or injecting …

A Cognitive Accessibility Framework For Mitigating Resumption Lag Using Transitional Context Lobbies, Rachit Mathur, Payal Shah

Defensive Publications Series

This disclosure presents a cognitive accessibility framework designed to mitigate "resumption lag" and severe cognitive friction during task resumption in modern software ecosystems. While existing operating systems and web browsers facilitate context-switching away from tasks, they universally lack a mechanism to re-onboard users when they switch back, forcing users to manually reconstruct their working memory. To address this accessibility barrier, we introduce Transitional Context Lobbies—an additional strategic UI layer that re-orients users returning to suspended workspaces. The primary inventive step is a client-side engine utilizing Teleological Intent Parsing to translate a user's past behaviors, interactions, and browsing data into a …

Fully Anharmonic Infrared Spectra Of Neutral Polycyclic Aromatic Hydrocarbons With Up To 38 Carbons, Nolan J. H. White, Vincent J. Esposito, Christiaan Boersma, Louis J. Allamandola, Jesse D. Bregman, Alexandros Maragkoudakis, Pasquale Temi, Ryan Fortenberry

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Interstellar aromatic infrared band (AIB) spectra show agreement with presently computed anharmonic spectra for various types of polycyclic aromatic hydrocarbons (PAHs) determined using a novel semiempirical quantum chemical method. Since the AIB spectrum is a blend of emission spectra from a vast number of different PAHs, likely with an array of different molecular structures, the spectra for a sample set of 31 PAHs ranging in size from naphthalene (C₁₀H₈) up to circumbiphenyl (C₃₈H₁₆) are combined, giving consideration to almost all PAH structural motifs. The computed numerical quartic force fields coupled to second-order …

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2025 Site-Wide Surface Water Monitoring Data Summary Report (Dated May 29, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Quantum-Enhanced And Machine Learning Framework For High-Accuracy Fatigue Life Prediction And Structural Analysis Of Connecting Rod, P. H. J. Venkatesh, P. Seema Rani

Babylonian Journal of Mechanical Engineering

The connecting rod is a critical mechanical component that transmits reciprocating motion from the piston to rotational motion in the crankshaft. Although connecting rods are traditionally manufactured from aluminum alloys, titanium alloys, or alloy steels, the demand for higher power-to-weight ratios has motivated the exploration of alternative materials supported by advanced computational validation methods. This study proposes a multilayer optimization framework for identifying the most suitable material for the connecting rod of a 110 cc four-stroke petrol engine. The component was modelled in Pro/ENGINEER, and high-fidelity Finite Element Analysis (FEA) was performed in ANSYS to evaluate the von Mises stress, …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Final 2026 Interim Site- Wide Surface Water Monitoring Quality Assurance Project Plan (Qapp) (Dated August 28, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Unified Sensitivity Kernel For Coherent Wave Tomography In Radar, Seismic, Ultrasound And Optical Imaging, Alexey Yamilov

Research Data

Overview:

This deposit contains the three figures of Ref. [1] that report numerical simulations, main-text Fig. 4 and Supplementary Figs. S1 and S2, together with the plotted data, one CSV file per figure. The simulations are described in Supplementary Note S3 of Ref. [1]. They were computed with MESTI [2] in two dimensions and with the modified Born series [3] in three, on the Mill [4] and Hellbender [5] clusters. The remaining figures of the paper are schematics (Figs. 1 and 5), a diagram drawn from the numbers listed in Table I (Fig. 3), or evaluations of closed-form expressions given …

Re: Approval Letter For The Final 2026 Interim Site-Wide Groundwater Monitoring Quality Assurance Project Plan (Dated August 28, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For Butte Priority Soils Operable Unit (Bpsou) Draft 2025 Groundwater Monitoring Data Summary Report January – December 2025 (Dated May 29, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Response Of The Eddystone Lighthouse To Storm-Wave Impacts, Davide Banfi, Alison Raby, Geoffrey Bullock, David Simmonds

School of Engineering, Computing and Mathematics

Structural response to wave action is difficult to predict due to complex wave–structure interactions, particularly for structures subject to impulsive loads from breaking waves such as rock lighthouses. This study examines the response of the exposed Eddystone Lighthouse, located some 21 km offshore from Plymouth, UK, using field measurements from geophones, video cameras and an offshore wave buoy. Accelerations and displacements are derived from geophone velocity measurements recorded just below the lantern during 3085 response events in the exceptional UK winter storms of 2013–2014. These are complemented by video records of breaking waves with estimated heights up to 10–15 m. …

Regional Creative Economy Resilience Index: An Analysis Of The Creative Industry's Role In Fostering National Economic Resilience According To Asta Cita, Dks Nugraha Nugraha, Ramadhania Mumtaz Keesa

Jurnal Vokasi Indonesia

Indonesia's creative economy has survived worldwide economic shifts, especially the COVID-19 epidemic. This industry now drives innovation, culture, and technology. No systematic technique exists to quantify the creative ecosystem's impact on regional economic resilience. The Regional Creative Economy Resilience Index (IRED) is a conceptual model based on Asta Cita 2024–2029's eight strategic missions. This article uses the Asta Cita framework to describe how the creative industry strengthens national economic resilience and advances the IRED idea as a data-driven research and policy tool. This qualitative-descriptive study synthesizes 20 periodicals (2020–2025), analyzes policy, and maps themes using Asta Cita. Source triangulation …

The Fragmentation Of Helcar: A Paratethyan Model For Rhûn, Núrnen And The Dead Marshes, Federico Manzoni

Journal of Tolkien Research

This work proposes a conjectural paleogeographic model linking the Sea of Rhûn, Núrnen and the Dead Marshes to the former Sea of Helcar. Beginning from Christopher Tolkien's suggestion that Rhûn may represent Helcar ``vastly shrunken,'' the study combines textual evidence, the Ambarkanta, Fonstad's cartographic reconstructions, and terrestrial analogues drawn from the evolution of the Paratethys, the Messinian Salinity Crisis and other endorheic basins. Helcar is interpreted not merely as an isolated body of deep water but as the centre of a broader hydrological province subsequently partitioned by relief change, sedimentary infilling, basin isolation and drainage reorganization. Within this model, Rhûn …

Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine

Military Cyber Affairs

Ransomware represents one of the most disruptive threats in the cyber landscape, yet hands-on malware analysis remains rare in undergraduate cybersecurity curricula. This paper presents the design, implementation, and evaluation of an experiential learning module centered on the WannaCry ransomware case study, deployed in a senior-level course at West Virginia University. Students performed static and dynamic analysis using industry-standard tools. Pre- and post-module assessments demonstrated measurable gains in self-reported competency across seven technical dimensions. The module's competencies align directly with DoD Cyber Workforce Framework Work Role 212, Cyber Defense Forensics Analyst, supporting education-to-workforce pipeline development.

From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder

Military Cyber Affairs

Federal agencies face a fiscal year 2027 target for enterprise-wide Zero Trust deployment, but NIST SP 800-207A defines logical components without identifying the Kubernetes technologies that implement them. This paper proposes a three-tier mapping of the Policy Engine, Policy Administrator, and Policy Enforcement Point to service mesh, microsegmentation, and perimeter tooling, stating the criteria by which each component is classified. It then applies a defined rubric to six Zero Trust vendors across component alignment, Kubernetes capability, federal authorization posture, and evidence quality, finding that no single vendor covers all three tiers. The mapping is a testable architectural proposition; a Stage …

Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu

Military Cyber Affairs

Cyber attack campaigns vary not only in scale but in structure, yet conventional characterizations often reduce them to a single dimension such as technique count or impact severity. In this paper we extend the concept of cyber attack flows by defining three new metrics, novelty, technique complexity and flow complexity. Then we characterize the attack flows of three advanced persistent threat campaigns using these metrics and draw insights regarding their capabilities. Our findings include that low novelty does not equate to low attack capabilities and that exploitation of an internet-facing appliance is a common initial attack vector.

Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck

Military Cyber Affairs

Ransomware poses a growing threat to critical infrastructure, where successful attacks can disrupt operational technology (OT) and industrial control systems (ICS) with significant public safety consequences. However, attributing ransomware incidents to specific threat actors remains challenging due to ransomware-as-a-service ecosystems, actor rebranding, and the obfuscation of traditional indicators of compromise. This paper presents Semantic Shields, an NLP-driven attribution framework that leverages BERT-generated semantic embeddings and DBSCAN clustering to profile ransomware actors through the linguistic characteristics of ransom notes. Using a dataset of 295 ransom notes from 189 distinct threat groups, the framework achieved an 87.2% true positive clustering rate and …

Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin

Military Cyber Affairs

This paper presents an end-to-end, explainable malware triage pipeline designed for defense-oriented cyber operations. It combines high-performance static detection methods with analyst-centered interpretability. Utilizing the EMBER 2024 Windows PE subset, we train and evaluate four classifiers and select LightGBM as the production model based on its predictive performance, inference efficiency, and compatibility with exact tree-based attribution. The deployed system consists of four sequential components: PE feature extraction, malware probability scoring, dual explainability (using SHAP and LIME), and large language model (LLM) report generation, all integrated within a Flask web interface. On a temporal test set of 1,080,000 samples, LightGBM achieves …

Llm-Generated Countermeasures For Iot Cyberattacks, James Alger, Michael Tu

Military Cyber Affairs

The rapid expansion of the Internet of Things (IoT) has introduced significant cybersecurity challenges, particularly for resource-constrained devices that traditional intrusion detection systems often fail to protect effectively. This paper proposes a novel, two-phase autonomous security pipeline designed to bridge the gap between probabilistic threat detection and deterministic network enforcement. The framework first utilizes a custom Time Series Transformer (TST) to classify multivariate network traffic and identify specific attack vectors, such as ransomware, SQL injections, and malicious file uploads. In the second phase, an agentic AI layer, comprising a locally hosted Large Language Model (LLM) orchestrated via LangGraph, processes the …