Digital Commons Network^™

Toxicity Ahead: Forecasting Conversational Derailment On Github, Mia Mohammad Imran, Robert Zita, Rahat Rizvi Rahman, Preetha Chatterjee, Kostadin Damevski

Computer Science Faculty Research & Creative Works

Toxic interactions in Open Source Software (OSS) communities reduce contributor engagement and threaten project sustainability. Preventing such toxicity before it emerges requires a clear understanding of how harmful conversations unfold. However, most proactive moderation strategies are manual, requiring significant time and effort from community maintainers. To support more scalable approaches, we curate a dataset of 159 derailed toxic threads and 207 non-toxic threads from GitHub discussions. Our analysis reveals that toxicity can be forecast by tension triggers, sentiment shifts, and specific conversational patterns.We present a novel Large Language Model (LLM)-based framework for predicting conversational derailment on GitHub using a two-step …

Racial Discrimination And Its Effects On Health And Maternal Mortality, Vanessa Newsome-Slade

Fresh Voices: Composition at Cal Poly

No abstract provided.

Solitary Confinement In The U.S. Prison System, Fiona Gleeson

Fresh Voices: Composition at Cal Poly

No abstract provided.

Undocumented And Unafraid, Claudia

Fresh Voices: Composition at Cal Poly

No abstract provided.

Δ−Scuti Star Hr 1170, Salman A. Nejad

Aquila: The Journal of Embry-Riddle Observatory

HR 1170, a variable star in the constellation Perseus, exhibits multi-periodic pulsations consistent with its classification as a δ−Scuti star. Through photometric and spectroscopic observations using the 1-meter ERAU telescope and the SARA-RM telescope, this study investigates its variability and spectral characteristics. Photometry conducted over several nights reveals pulsation periods that closely align with previously reported values. Time-resolved spectroscopy highlights prominent absorption features, including Balmer lines and metallic elements, offering further insights into the star’s atmospheric dynamics.

Kenyon Collegian - September 10, 2026

The Kenyon Collegian

No abstract provided.

The Impact Of The Keller The Marzano Model Of Learning The Skills Of Serving And Receiving Serves In Volleyball For Students, Ali Abbas Taher

Modern Sport

This research aims to identify the impact of the Keller and Marzano models on learning the skills of serving and receiving serves in volleyball, and to determine the superiority of the educational models compared to the standard method. The researcher used an experimental design with equivalent groups, and the sample included (45) female students, with (15) students in each group: two experimental groups that implemented the Keller and Marzano models, and one control group that followed the standard method. The implementation lasted (6) weeks. The results showed statistically significant differences between the pre- and post-tests for all groups, in favor …

Taut And Dupin Submanifolds (Updated Version), Thomas E. Cecil

Mathematics and Computer Science Department Faculty Scholarship

This is an updated version of the paper [29] by the author which originally appeared in 1997. The original paper was a survey of the closely related fields of taut and Dupin submanifolds of Euclidean space, and this updated version includes many results in the field that have appeared since the publication of the original version. The emphasis is on stating results in their proper context and noting areas for future research, and relatively few proofs are given. The important class of isoparametric hypersurfaces is surveyed in detail, as is the relationship between the two concepts of taut and Dupin. …

On-Shell Compression And Reconstruction (Oscar) Of Monochromatic Wave Fields In Weakly Scattering Media, Pablo Jara, Alexey Yamilov

Research Data

Overview

This deposit contains one realization of each of the two simulation platforms of Ref. [1], a two-dimensional (2D) scalar field and a three-dimensional (3D) vector-field component, together with two self-contained Python scripts that perform On-Shell Compression and Reconstruction (OSCAR) on them. Each script Fourier-transforms the stored field, measures the shell radius from the spectrum, retains only the Fourier components inside the shell of full width α/ℓs around it for α = 1, 3, 5, 8, 12, reconstructs the field by the inverse transform, and plots the reconstructed intensities, panels (a)–(e), next to the original field, panel (f), on a …

The Role Of Generative Ai In Secondary School Business Education: Insights From Teachers’ Perceptions, Leonard Busuttil, Emanuel Mizzi

International Journal for Business Education

Background/Introduction/Purpose: Generative artificial intelligence (GenAI) has entered classrooms more quickly than the evidence base needed to guide its use, and that evidence base remains concentrated in higher education. Comparatively little is known about secondary school business education, a curricular area that brings together accounting, business studies, economics, financial literacy, marketing, and retail, and in which teachers move between subjects whose epistemological and procedural demands differ considerably. Existing studies also tend to treat business education as a single homogeneous domain, or to examine one of its subjects in isolation. This study addresses that gap by examining how secondary school business education …

Doing Less With More: A First-Principles Exploration Of The Suitability Of Agentic Computing Over Alternative Architectural Choices, Ritvik Garimella, Biplav Srivastava, Amit Sheth

Publications

There is growing interest in automating business activities with Agentic Artificial Intelligence (AI) due to latter's seeming ease of use. Never has it been easier, or costlier, to do less with more. However, little is known about when agents are preferable to established alternatives such as local computation, Representational State Transfer (REST), the Simple Object Access Protocol (SOAP), and the Model Context Protocol (MCP), particularly when development speed, performance, and operational cost are considered. We investigate this question using a controlled mathematical task that compares seven methods on a benchmark of 1,000 arithmetic expressions where semantics of operator precedence has …

Design And Fea Of Composite Spur Gears: A Comparative Study Using Anfis, Xgboost, And Variational Quantum Regression, P. H. J. Venkatesh, Pothala Raghu, Mohd Rafeeq Ur Rahman, Saikumar Amda, T. S. Vamsi Krishna

Babylonian Journal of Mechanical Engineering

The parametric FEA dataset for an automotive involute spur-gear pair in three materials, train an ANFIS, XG Boost, and four-qubit Variational Quantum Regression (VQR) surrogate on that dataset, and compare their accuracy, uncertainty, and computational cost against the FEA ground truth. The study also ranks the three materials using an auditable multi-criteria decision procedure. The gear pair was sized using the Lewis equation, modelled in CATIA V5, and solved in ANSYS Workbench for SAE 8620 low-alloy steel, a Steel Matrix Composite (SMC), and a Low-Cost Iron Metal-Matrix Composite (Fe-MCS). The nominal duty is 350 N-m of wheel torque, derived from …

Draft Final 2023 Unreclaimed Sites Sampling: Ur-43 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Representing Post-Fire Reality: An Empirically Informed Temperature Index Approach To Post-Fire Hydrologic Modeling In Oregon's Western Cascades, Logan Hastings

Dissertations and Theses

The invaluable water resources stored in snowpack face mounting threats from rising temperatures, drought, shifts in precipitation regimes, and increased fire frequency, which pose challenges to operational hydrologic modeling in Oregon's sensitive maritime snowpacks. The gridded temperature index (GTI) approach in operational models like the Hydrological Engineering Center's Hydrologic Modeling System (HEC-HMS) from the U.S. Army Corps of Engineers remains in common use for its minimal data requirements, but how GTI parameterizations should adapt to post-fire conditions is largely unknown.

This research assessed the impact of the 2020 Lionshead Fire on HEC-HMS performance in the North Santiam River basin across …

Developing A Deep Learning-Based Artificial Intelligence System For Detecting Scientific Misinformation On Digital Platforms, Shorouq Al-Awawdeh, Ayah Al- Jafari

Middle East Journal of Communication Studies

Objectives: This study develops and evaluates an Arabic scientific misinformation detection system by fine-tuning AraBERT-base-v2. It examines the effects of early stopping and input sequence length on model performance, interprets selected linguistic characteristics associated with misleading content, and discusses the limitations of using machine-translated data.

Methodology: The study adopted a mixed-methods design, employing a systematic integration of quantitative and qualitative approaches, supported by an interpretive qualitative reading. The initial database consisted of 23,546 records, including 123 Arabic articles collected from the Akeed, Sheek, and Taqeen platforms, and 23,423 foreign-language records drawn from the GossipCop and PolitiFact collections within FakeNewsNet. After …

The Evolution Characteristics Of Gas Pressure Around Coal Seam Directional Long Extraction Boreholes With Nonlinear Extraction Negative Pressure, Zhang Qi, Jia Jinlong, Li Zhiguo, Zhang Longgang, Qin Zhengyuan, Zhang Weizhong, Li Jin

Journal of Sustainable Mining

Nonlinear pressure of coal seam gas in the directional borehole and surrounding areas affects extraction efficiency. A multi-field coupling numerical model, including gas desorption, diffusion, fracture seepage, and borehole extraction, is developed for the No. 3 coal seam of the GJH mine. Using the numerical simulation method of control variables, extraction was developed to investigate the nonlinear evolution of axial pressure gradients in directional long borehole and the spatiotemporal response characteristics of gas pressure. Results show that coal seam seepage pressure exhibits a nonlinear radial gradient attenuation around the borehole, evolving through rapid pressure change, stabilization, and slow adjustment. The …

Seeing The Line Move Up: Educator Perceptions Of Mastery Experiences As Drivers Of Student Engagement And Persistence In Rural Intervention Programs, Carter J. Baran

Journal of Organizational & Educational Leadership

This study examined how educators in a rural secondary school district describe the influence of mastery experiences on student engagement and persistence within academic intervention programs. Drawing on semi-structured interviews with 18 certified educators (six core content teachers, six elective teachers, and six administrators) and a subsequent focus group conducted in a single rural South Carolina school district, this qualitative analysis extends a larger dissertation study on teacher perceptions of dropout-prevention interventions. Using Bandura's (1986, 1997) social cognitive theory and Astin's (1984, 1999) theory of student involvement as a dual conceptual lens, findings indicate that educators consistently identified visible, incremental …

Novelty Gate Defensive Pub, David Lee Wise, Avan Claude A.C.I

Defensive Publications Series

An automated system that derives a technical result can verify that the result is correct and cannot, by the same means, verify that it is new. Proof assistants, unit tests and numerical cross-checks all terminate on correctness. Novelty is not a property of the artifact; it is a property of the artifact's relation to a corpus, and it therefore requires a separate check against a separate object. This disclosure describes a method for performing that second check, the canonicalization step that makes it possible, and the corpus-side conditions under which it works. The method was derived from a measured …

The Unified System Resampling Manifold: Bridging September 2026 Experimental Crises Via Substrate Phase Residue And Conformal Extension Loops, Christopher L. Eckes

Defensive Publications Series

This paper formalizes Paper 155 to construct a rigorous cross-disciplinary bridge between five discrete breakthrough vectors observed in early September 2026: (1) the massive multi-agent AI swarm mapping of the Navier-Stokes smooth existence problem, (2) macroscopic quantum gravity atomic superposition measurements, (3) sub-Landauer limit magnetic memory switching states, (4) synthetic protein self-assembly on van der Waals substrates, and (5) the direct experimental confirmation of the atomic Migdal Effect. Rather than treating these milestones as disconnected successes of competing models, we deploy the Dimensionally Extended Holographic Projection (DEHP) model to show they are parallel observable consequences of a single underlying architecture: …

Resolution Of The Grb 221009a Anomaly Via Conformal Metric-Shift Mechanics, Continuous Vacuum Strain, And High-Frequency Surface Acoustic Streaming Boundary Layer Modulation, Christopher L. Eckes

Defensive Publications Series

This paper formalizes Paper 154 within the Unified Cosmological Substrate Equations (UCSE) and Dimensionally Extended Holographic Projection (DEHP) frameworks to resolve the dual anomalies of the 300-TeV photon detected from gamma-ray burst GRB 221009A. Standard 3D physics requires ad-hoc, untestable additions—such as axion-like particles (ALPs) and Lorentz Invariance Violation (LIV)—to account for why this extreme energy packet survived a 2-billion-light-year transit through intergalactic starlight and arrived one hour later than its lower-energy counterparts.

By stripping away modern academic tribalism and separating the foundational 2D phase fluid substrate (z=0) from emergent 3D geometric projections (z>0), we prove that the 300-TeV …

Hover-Sign Gating Of Bluetooth Low Latency Link Posture On Wearables, Vadlamudi Venkata Girish

Defensive Publications Series

Wrist-worn wearable devices, such as smartwatches and fitness trackers, with an always-on display (AOD) often connect to other devices via a wireless link or radio connection, using sleep schedules to save energy. However, this causes a noticeable lag when a user touches the screen. At the same time, accidental brushes from clothing can trigger false alarms that drain the battery if the device wakes up too often. This publication describes techniques to optimize latency and power consumption by utilizing an always-on (AON) capacitive hover front-end or touchless gesture detection sensor that intelligently drives low-power wireless communication protocol (e.g., Bluetooth Low …

Measuring Maladaptive Social Media Use: Development And Validation Of A Multidimensional Four-Factor Scale, Leanna Tally, Abigail Mace, David Carscaddon

Journal of Counseling and Psychology

The advent of social media has had a tremendous effect on the realms of social interaction and entertainment, particularly in younger generations. As this sensation has continued to grow and intensify, increasing concern has been raised about the potential adverse effects of social media use, including the possibility of dependence and addiction-like symptoms. This study aimed to create a scale capable of measuring social media dependency based on an alternative and internet-specific theoretical model. Participants (n= 133, ages 18-25) answered questions about their social media usage and related variables, completing a 26-item scale, the MPIQ, and accompanying items. McDonald’s omega …

King Faisal University's Personal Data Protection Framework: An Analysis Of Saudi Regulatory Guidelines, Mohammed Ali Alghamdi

Scientific Journal of King Faisal University: Humanities and Management Sciences

Saudi Arabia's Personal Data Protection Law (PDPL) and its Implementing Regulation impose binding duties on controllers, including public universities that process extensive personal and sensitive information. This study examines King Faisal University's (KFU) published privacy policy to determine the extent to which it reflects the mandatory provisions of the PDPL and the regulatory orientations issued by the Saudi Data and Artificial Intelligence Authority (SDAIA). The study adopts a doctrinal legal method combined with qualitative content analysis and a gap assessment. It evaluates the policy's treatment of collection purposes, legal bases, data-subject rights, complaint channels, governance responsibilities, impact assessment, breach notification, …

Shorthorn Front Page Vol.25 No.1

Kenneth L. Whitt Papers

Front page of the Shorthorn Vol.25 No.1.

Dynamic And Statistical Analysis Of A Three-Phase Induction Motor Under Stator Resistance And Rotor Inertia Variations Using Matlab/Simulink, Ayodeji Joseph Akinremi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo

Engineering and Technology Journal

Three-phase induction motors are widely used in industrial applications, and they are the backbone and driving force of modern manufacturing and production lines, owing to their robustness, reliability, and low maintenance requirements. However, variations in machine parameters such as electrical or mechanical parameters caused by thermal effects, machine lifespan or tolerances, operational conditions, or aging could significantly affect dynamic performance. This study examined the effects of varying stator resistance and rotor inertia using dynamic and statistical investigation of a three-phase induction motor in MATLAB/Simulink, analysed in the stationary reference frame. The dynamic performance was evaluated based on peak starting current, …

From Data To Decision-Making: The Role Of Local Digital Twins In Cross-Domain Management Within Municipalities – A Research-In-Progress Study In Veenendaal, Diana M.E. Boekman, Koen Smit, Guido Ongena, Rob Peters

Communications of the IIMA

Municipalities are facing increasingly complex, interconnected challenges in areas like housing, climate adaptation, mobility, and social policy. Local Digital Twins (LDTs) are seen as a promising tool to make this complexity more understandable and support decision-making. At the same time, both literature and practice show that few initiatives get past the pilot phase, even though getting through that phase is essential for successful long-term adoption.

This paper presents a research-in-progress study on the development and application of an implementation method for LDT technology within the municipality of Veenendaal, based on human values rather than driven by technological possibilities. Based on …

A Novel Entropy Based Maintainability Measurement Algorithm For Java Source Code., Remi M. Yusuf Mr, Md Shadab Mashuk, Julian Bass

Communications of the IIMA

Software metrics play a central role in assessing and managing the quality of software systems providing quantitative insights into attributes such as complexity, reliability, rigidity, modifiability and maintainability. Among these, maintainability is particularly critical, as it directly influences the ease of system evolution, long-term sustainability, and overall cost effectiveness. Despite the widespread use of metric-based maintainability measurement algorithms, capturing a value that reflects the maintainability situation of software source code remains a challenging task, especially in the presence of design deficiencies such as code smells. To measure changes in maintainability, this study experimentaly characterises the relationship between code smells and …

Broadening The Community Of Nudibranch Enthusiasts Through Multilingual Educational Programming To Increase Climate Advocacy Engagement, Richelle Li Tanner, Cintya Felix Mendivil, Ashley Lam, Lorena Muñoz, Micah Kim, Elena G. Morales Poot, Gabrielle Keeler-May

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Environmental literacy and advocacy for environmental protections are essential components of responsible stewardship. For coastal communities, stewardship requires knowledge of ocean processes and the biological communities living within these ecosystems. While many studies highlight difficulties in engaging American audiences in environmental concern and stewardship due to hyper-individualistic societal values, tidepooling is one recreational pathway to coastal community engagement that strengthens sense of place, and therefore, responsibility to protect natural resources. We sought to broaden the tidepooling community to include more diverse voices through a participatory science program with inland city-dwelling, multilingual, and non-English speaking adults. Using nudibranchs as an environmental …

Teacher Mentoring As A National Imperative: A Multi-Paper Dissertation, Ramiro Pesina

Human Resource Development Theses and Dissertations

This multi-paper dissertation investigates teacher mentoring as a critical intervention in human resource development designed to address the complex challenges facing the teaching profession, including high attrition rates and the need for sustained professional support. The study is organized into three connected studies: an integrative literature review on technology enhanced mentoring, a longitudinal qualitative study that devises a comprehensive mentoring model covering cognitive, emotional, and behavioral aspects, and a phenomenological case study in which a formally structured mentoring program in a North Texas school district is analyzed in terms of execution and outcome. Critically important findings indicate that well-crafted mentoring …

The Role Of Financial Decision-Making Methods In Achieving Financial Performance, Kifah Sami Hussein

Muthanna Journal of Administrative and Economics Sciences

This research provides a comprehensive study of the role of financial decision-making methods in improving the financial performance of organizations, focusing on the strategic importance of various financial tools in supporting the process. The study aims to explore how the quality of financial decisions affects key performance indicators of organizations, highlighting the positive relationship between effective financial decision-making and achieving optimal financial results. The research also addresses the various factors that influence the effectiveness of financial decisions, including analytical tools, predictive models, and high-quality accounting information.
The research methodology relies on integrating quantitative and qualitative methods in a comprehensive manner, …