Digital Commons Network^™

Statistical Triangulation: Weighing Multiple Statistical Tools In Macro-Level Housing Research, Julio Montanez, Amy Donley, Jacquelyn Reiss

Journal of Applied Disciplines

Homelessness and housing research has a detection problem, in which understanding housing issues (e.g., substandard housing) is plagued by problems like undercounting and incomplete data. To partially compensate for these pitfalls, the current research engages in an exercise aiming to sharpen the statistical approach to homelessness and housing research. The macro-level sample included Florida’s 27 Continuums of Care geographies (composed of one or more Florida counties). The dependent variables were sheltered homelessness, energy-based substandard housing, and plumbing-based substandard housing. The independent variables were misdemeanor partner violence rates, felony partner violence rates, high school non-completion rates, urbanicity, and population burdens of …

Countries Playing Monopoly With Carbon Dollars: International Edition, Santina Gatti

Fresh Voices: Composition at Cal Poly

No abstract provided.

Development Vs. Preservation, Ben Weaver

Fresh Voices: Composition at Cal Poly

No abstract provided.

Chatgpt In Education: Examining The Impact And Ethical Dilemmas Of Ai Integration, Noah Alloun

Fresh Voices: Composition at Cal Poly

No abstract provided.

Where Different Matters, Madeleine Colbert

Fresh Voices: Composition at Cal Poly

No abstract provided.

Fighting Capitalism. Weapon Of Choice: Beverages, Santina Gatti

Fresh Voices: Composition at Cal Poly

No abstract provided.

The Pad Slo, Trinity Mak

Fresh Voices: Composition at Cal Poly

No abstract provided.

Lines And Curves, Katelyn Drew

Fresh Voices: Composition at Cal Poly

No abstract provided.

The Water And I, Amy Schroeder

Fresh Voices: Composition at Cal Poly

No abstract provided.

Data-Driven Risk Mapping For Safer Roads: Unincorporated Dekalb County, Georgia, Getachew B. Demisse, Stacy C. Grear, Araya D. Araya, Shimelis Gebru, Solomon Negash, Leo Ladefian, Carlo Frate

The Geographical Bulletin

This study presents a decade-long spatiotemporal analysis of more than 206,000 traffic accidents recorded between 2015 and 2024 in unincorporated DeKalb County, Georgia. The primary goal of the study is to identify critical patterns of roadway risk and inform data‑driven safety interventions. Using crash records from the Georgia Department of Transportation (GDOT) AASHTOWare Safety platform and standardized crash‑rate calculations, the analysis revealed strong temporal regularities, including elevated crash frequencies during afternoon peak hours, Fridays, and seasonal transition periods such as October. Spatial analyses further demonstrate that crashes are highly concentrated along a limited subset of corridors, consistent with High Injury …

Diversity Of Forest Vegetation In The Quarry Landscapes Of Central Polissia, Ukraine (Eastern Europe), Ivan Khomiak, Oleksandr Harbar, Ruslana Vlasenko, Tamara Andriichuk, Oleksandr Lavryk

The Geographical Bulletin

The features of territorial differentiation of vegetation in quarry landscapes are crucial for addressing theoretical issues in landscape science and applied problems of restoration ecology. This study aims to establish the phytocenotic diversity of forest communities. The forest vegetation of the quarry landscapes of Central Polissia includes 7 classes, 9 orders, 15 unions, 24 associations, and 2 groups of undetermined rank. Based on phytocenotic diversity, the quarries of Zhytomyr Polissia fall into three distinct zones: northern, central, and southern. The northern zone necessarily includes groupings of the Vaccinio-Piceetea class and excludes Salicetea purpurea. The central zone mainly features derived forests …

Flexural Performance Of Nsm-Cfrp Strengthened Corroded Rc Prisms Under Freeze-Thaw And Wet-Dry Cycles, Zainab Abdulsattar Ghali, Maan S. Hassan

Engineering and Technology Journal

This study investigates the combined effects of corrosion level and environmental exposure on flexural behaviour of corroded reinforced concrete (RC) prisms repaired with self-compacted concrete (SCC) and strengthened with a near-surface-mounted (NSM) carbon fibre-reinforced polymer (CFRP) system. Two accelerated corrosion levels (10% and 30%) were introduced before repair. The damaged concrete cover was removed and recast using self-compacting concrete (SCC), followed by NSM-CFRP strengthening. The repaired prisms were then exposed to standard laboratory conditions (ST), 300 freeze-thaw (FT) cycles, or 50 wet-dry (DW) cycles before flexural testing. Corrosion reduced the stiffness and load-carrying capacity of the RC prisms. The NSM-CFRP …

Federated System For Synchronous Root Cause Analysis Of System Incidents, Nikhil Kumar, Akash Verma

Defensive Publications Series

Initial response to system incidents in complex software environments can involve a manual process of context gathering, which may delay mitigation and increase cognitive load on engineers. A system can utilize a federated network of autonomous diagnostic agents that can trigger in response to a system alert. An agent can autonomously gather telemetry data from various sources, such as logs, metrics, and source code repositories, and can use an analytical model to perform causal synthesis. The system can then generate and deliver a human-readable root cause hypothesis with supporting evidence to a response team. This approach may automate initial data …

Hierarchical Approximation Of Self-Attention Using A Tree-Based Key-Value Cache, Antonio Gulli, Patricia Florissi

Defensive Publications Series

Self-attention mechanisms in neural network models can result in quadratic time and memory complexity, creating a memory bottleneck when processing long sequences. A hierarchical approximation of self-attention can address this limitation. The historical key-value cache can be represented as a balanced hierarchical tree where internal nodes store aggregated representations of token clusters. A query-dependent traversal mechanism can then approximate the influence of distant clusters by pruning subtrees based on a configurable criterion, such as the ratio of a cluster's spatial diameter to its distance from the query. This approach can reduce the computational and memory overhead associated with standard self-attention …

Chemical Composition And Mechanism Investigation Of Subfraction From Wuwei Zijin San Guided By Anti-Hepatic Fibrosis Activity, Yazhen Guo, Zhongzhi Qi, Yajuan Chen, Lijuan Nie, Mingyu Luo, Yuechen Guo, Hui Wu, Bengui Ye, Jun He

Journal of Food and Drug Analysis

BACKGROUND  Among the spectrum of hepatopathies that pose a significant global health threat, halting the progression of hepatic fibrosis is a key therapeutic objective. Wuwei Zijin San (WWZJS) is derived from a traditional Tibetan empirical formula, yet its efficacy against hepatic fibrosis, along with the underlying mechanisms and active ingredients, remains uncertain.

PURPOSE  The aim of this study was to investigate the protective effect of WWZJS against hepatic fibrosis, explore its underlying mechanisms and material basis, and evaluate the potential of direct interactions between the biologically active ingredients and their corresponding targets.

METHODS Chemical profiling of the active …

A Calibrated And Conformal Deep Learning Framework For Trustworthy Antinuclear Antibody Pattern Recognition With Selective Referral To Experts, Hussein Ali Hussein Al Naffakh, Ahmed Dheyaa Radhi, Raghdah Maytham Hameed, Muntaha Abdullah Reishaan, Fouad A. Majeed, Rozaida Ghazali

Karbala International Journal of Modern Science

Reading antinuclear antibody patterns on human epithelial cells by indirect immunofluorescence is the reference screen for systemic autoimmune rheumatic diseases, but it is slow, subjective, and variable between observers. Deep learning reaches high accuracy on this task, yet most systems return a single prediction without stating how reliable it is, which is unsafe in a diagnostic workflow. This paper presents an intelligent decision support framework built around a single calibrated uncertainty signal. That signal is the control variable for four reliability modules: confidence calibration, conformal prediction, error detection, and selective referral. A feature space out of distribution detector serves as …

Study Of Primer Efficiency And Relative Genetic Band Abundance In Different Genotypes, Mundher Kh. Jabbar

Karbala International Journal of Modern Science

This experiment was aimed to find some indicators related to primers and genetic variations. Six bread wheat genotypes were selected as the dataset. The RAPD marker technique was used with oligonucleotide primers as marker of study. The goal was to identify factors used for the relationship between primers and their ability to elicit DNA fragments through different genotypes, as well as the relative genetic band abundance among genotypes. After the designed factors, key findings emerged: in relative primer amplification rate, C1 genotype exhibited a higher relative primer amplification rate (RPAR) of fragments from OP-H01 but did not differ from OP-V19 …

Exploring The Influence Of Personalized E-Learning Tools On Critical Thinking And Literacy In Secondary English Classrooms Through Instructor Perspectives: A Holistic Case Study, Lanishia R. Berry

Doctoral Dissertations and Projects

The purpose of this holistic case study was to explore how secondary English Language Arts teachers integrated personalized e-learning tools to support reading comprehension and critical thinking in secondary English Language Arts classrooms. The theory guiding this study was Vygotsky's sociocultural development theory because it supports the idea that learning and cognitive development occur through interaction and collaboration, aligning with how personalized e-learning tools are used to engage students in meaningful literacy experiences. The central research question guiding this study is: How do secondary English teachers perceive the use of personalized e-learning tools in their instruction to support reading comprehension …

Exploring The Role Of Mentorship For Urban African American Underprivileged Students Who Participate In Band Programs: A Case Study, Tyreese Lamar Pleasanton

Doctoral Dissertations and Projects

Underprivileged urban African American students who participate in band programs benefit from transformative mentorship within a culturally relevant support system. By providing access to environmental resources and equitable opportunities, mentors play a critical role in promoting academic achievement, social-emotional growth, and cultural pride. This study investigates the impact of mentorship on student outcomes in urban settings, highlights distinctive African American experiences, identifies structural barriers, and proposes relationship-based strategies to advance educational equity through culturally responsive support. Data will be collected through surveys, interviews, observations, and thematic analysis, with a specific focus on current band directors. The findings will contribute to …

The Lack Of Social Interaction In The Full-Time Remote Work Environment And Career Development, Tiphany Moguel-Young

Doctoral Dissertations and Projects

The purpose of this qualitative single case study was to explore the lack of social interaction in the full-time remote work environment and its influence on career development for remote workers at a U.S.-based financial services organization in Dallas, Texas. The theory that guided this study was social cognitive career theory. The central research question was, “What attributes of social interactions do remote workers perceive as assisting or hindering their career development?” Data collection consisted of semistructured interviews with nonmanagerial remote workers, a focus group with managers, and anonymous open-ended survey responses and reflective journaling from all participants. The data …

Hayden Holdings Ltd V. Fidelity National Title Insurance Co

2026 Decisions

USDC for the Eastern District of Pennsylvania

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.

The Lived Experiences Of Custodial Grandparents In Northern Appalachia: A Transcendental Phenomenological Study, Christina Marie Savage

Doctoral Dissertations and Projects

Grandparents raising their grandchildren represent a growing demographic in North America. This qualitative transcendental phenomenological research study examined the shared lived experiences of custodial grandparents living in Northern Appalachia. This study was guided by Erikson’s seventh and eighth stages of psychosocial development and Resilience Theory. Fourteen custodial grandparents who reside within a Northern Appalachian county in Pennsylvania participated in semi-structured in-person interviews and data were analyzed using Moustakas' (1994) transcendental phenomenological method. Six themes emerged from the data: returning to parenthood later in life, accepting responsibility to protect grandchildren, changes in family roles and relationships, navigating challenges with limited support, …

Exploring The Role Of Single Pilot Operations In Night Cargo Aviation: A Phenomenological Study, Kollin Ellis

Doctoral Dissertations and Projects

The purpose of this qualitative descriptive phenomenology was to examine the lived experiences of pilots who have operated alone at night in an aviation cargo environment. The design was guided by an epistemological philosophical assumption. Extreme advancements in the technology of artificial intelligence and their applications in the aviation industry have raised the question of the value of a single operator serving in commercial cockpits. Some experts argue that a two-person crew is unnecessarily redundant. A significant gap in the current literature of experiential data existed to prompt this study. Through the contextual lens of the Dual Process Theory and …

Integration Of Industry 4.0 Technologies In Automotive Supply Chains, Christopher Mcdonald

Doctoral Dissertations and Projects

The purpose of the study is to empirically examine the relationship between Industry 4.0 technology integration and supply chain performance outcomes among automotive supply chain managers and executives with at least five years of direct professional experience. The study is guided by three research questions addressing the extent to which Industry 4.0 adoption correlates with disruption frequency, the relationship between cybersecurity implementation and supply chain resilience, and the moderating effect of organizational technological capability on the relationship between Industry 4.0 adoption and operational efficiency. Data are collected through a validated electronic survey instrument using multi-item measures of Industry 4.0 adoption, …

Collaborative Research: Influence Of Fault Frictional Healing And Realistic Tectonic Loading Rates On Shallow Subduction Megathrust Locking, Srisharan Shreedharan

Funded Research Records

No abstract provided.

A Quantitative Content Analysis Of Major United States-Based Religious Organizations' Framing Of Mask-Wearing On X (Formerly Twitter) During Covid-19, Michael J. Farzinpour

Doctoral Dissertations and Projects

The purpose of this quantitative content analysis was to examine how major U.S.-based religious organizations framed mask-wearing on X (formerly Twitter) during the COVID-19 pandemic and whether identifiable framing cues were associated with observable audience engagement. Grounded in framing theory and prospect theory, the study analyzed publicly available tweets posted by 14 nationally prominent U.S. megachurches and affiliated public-facing organizational representatives between March 2020 and December 2022. The final sample consisted of 1,288 tweets. Tweets were coded for gain- and loss-framed valence-framing cues, compliance- and resistance-oriented frame-orientation cues, and engagement outcomes measured through publicly visible likes, comments, and retweets. Because …

Differentiated Instruction For Gifted Students In A North Carolina Title I School System: A Case Study, Kristal Land

Doctoral Dissertations and Projects

The purpose of this case study was to explore the differentiation of instructional methods used for cluster-grouped gifted students in third through eighth-grade regular education classes at TCSS, a Title I school in North Carolina. For the research, differentiation for cluster-grouped gifted students was defined as students who have been identified as gifted and are grouped together, typically in clusters of three to more than 10 students in a regular education setting. In this environment, teachers differentiate instruction to meet the advanced learning needs of their students. The theory guiding this study is Gardner’s theory of multiple intelligences. Multiple intelligences …

Multi-Level Grey Optimization Of Dimensional Deviations And Productivity In Fdm-Printed Pla And Petg Spur Gears, Atidel Ghorbel, Rania Ben Amor, Adama Traore, Sosso Gloire Kondo, Youmni Rakib, Ahmed Elloumi

Babylonian Journal of Mechanical Engineering

This study investigates the multi-level Grey Relational Analysis (GRA) for the simultaneous optimization of dimensional accuracy and productivity in Fused Deposition Modeling (FDM) of PLA and PETG spur gears. A Taguchi L9 orthogonal array was employed to evaluate the influence of key process parameters, including layer thickness, printing speed, and flow rate. Dimensional accuracy was assessed through multiple geometrical responses, namely internal diameter (Di), head diameter (Da), tooth thickness, and base thickness (Sb). These responses were integrated into a single performance index using Grey Relational Analysis. The results show that the optimal condition for PLA (Exp 9) achieves a maximum …

Application Of Machine Learning To Discover Dynamical Structures In 4d Poincaré Maps In The Circular Restricted Three-Body Problem, Kevin M. Trigg, Daniel J. Broyles, Robert A. Bettinger, Tyler J. Kapolka

Faculty Publications

The spatial Circular Restricted Three-Body Problem (CR3BP) produces complex orbital dynamics that are difficult to classify at scale using traditional, manual Poincaré map analysis. A Poincaré map simplifies continuous orbital motion by recording the points where a trajectory intersects a chosen surface in phase space, converting a continuous path into a discrete set of crossings that reveal underlying topological structure. These crossings make it easier to characterize trajectory behavior, but interpreting them visually becomes impractical for large datasets and as Poincaré maps evolve from two into four dimensions. To address this challenge, an unsupervised clustering pipeline for discovering dynamical structures …