Digital Commons Network^™

Merging Terrestrial And Satellite Gravity Data For Africa: A Possibility To Fill-In The Data Gaps, Hussein A. Abd-Elmotaal, Norbert Kuhtreiber

Mansoura Engineering Journal

The major challenge that the IAG Sub-Commission on gravity and geoid in Africa faces is the significantly large gravity data gaps. It is essential to properly tackle this issue for all geodetic applications in Africa due to the large interpolation errors occur at these large gaps. Simple interpolation (using any type of interpolation technique) of the gravity data does not add new information at the large data gaps, and the solution is free there. Global Earth gravity models offer themselves as a possible way to fill-in such large data gaps, provided that they approximate the African gravity field to an …

Forging Pathways: How Low-Income Stem Students Navigate College On A Free Tuition Program, Taylor Wilby, Sarah Madsen, Nathan F. Alleman

Journal of Student Financial Aid

In light of the ever-increasing cost of tuition, colleges and universities are turning to free tuition programs to make college more affordable – especially for those students demonstrating the most financial need. Concurrently, students from low-income backgrounds continue to enroll in Science, Technology, Engineering, and Mathematics (STEM) majors, navigating rigorous fields of study and anticipating highly lucrative career opportunities following graduation. This project, therefore, sought to answer the following question: How and in what ways is the college-going navigation of low-income STEM students influenced by a free tuition pathway in a selective, affluent university? Utilizing a qualitative, symbolic interactionist …

32nd National Boule & 42nd Anniversary Conclave, Zeta Phi Beta Sorority Incorporated, Phi Beta Sigma Fraternity Incorporated

Josie Green Washington Papers

A sorority/fraternity program for the 32nd National Boule for the Zeta Phi Beta Sorority Incorporated and the 43rd Anniversary Conclave for the Phi Beta Sigma Fraternity Incorporated. This copy belongs to Josie Green Washington.

A Contextual Attention-Based Transformer Model For Enhanced Hate Speech Detection On Twitter, Mira Mansour, Nancy Akoum, Seifedine Kadry

Iraqi Journal for Computer Science and Mathematics

Hate speech on social media poses significant societal challenges, necessitating accurate and context-sensitive automated detection. Traditional machine learning (ML) models typically rely on lexical or superficial features, limiting their ability to capture nuanced or contextually ambiguous expressions of hate speech. Recent transformer-based methods (e.g., RoBERTa) provide improved contextual understanding but often lack explicit mechanisms guiding the model’s attention to critical semantic tokens, thereby reducing interpretability and sensitivity to nuanced linguistic contexts. This paper introduces a novel contextual attention-guided transformer model that explicitly incorporates lexicon-guided attention supervision into RoBERTa fine-tuning, significantly enhancing semantic precision in hate speech detection on Twitter. Evaluations …

Datamut: Deterministic Algorithms For Time-Delay Attack Detection In Multi-Hop Uav Networks, Keiwan Soltani, Federico Corò, Punyasha Chatterjee, Sajal K. Das

Computer Science Faculty Research & Creative Works

Unmanned Aerial Vehicles (UAVs), also known as drones, have gained popularity in various fields such as agriculture, emergency response, and search and rescue operations. UAV networks are susceptible to potential security threats, such as wormhole attacks, jamming, spoofing, and false data injection. Time-Delay Attack (TDA) is a unique attack in which malicious UAVs intentionally delay packet forwarding, posing significant threats, especially in time-sensitive applications. It is challenging to distinguish malicious delay from benign network delay due to the dynamic nature of UAV networks, intermittent wireless connectivity, or the Store-Carry-Forward (SCF) mechanism during multi-hop communication. Some existing works propose machine learning-based …

System And Method For Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery And Innovation, Chiranthan N

Defensive Publications Series

The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems …

2026-06-05 Minutes & Appendices, Longwood University

Board of Visitors Meeting Minutes 1964-

No abstract provided.

2026 Revised Draft Final Bpsou Backfill And Cover Material Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Optimizing Proaftn Classifier With Ant Colony Algorithm: Enhanced Diabetes Detection Benchmarking, Feras Al-Obeidat

All Works

The increasing global prevalence of diabetes highlights the need for accurate diagnostic tools to improve early detection and effective treatment planning. Traditional classification models often struggle to achieve optimal performance due to limitations in parameter tuning and adaptability to complex datasets. To address these limitations, this article introduces PROAnt, an innovative learning approach designed to enhance the robustness and efficiency of the PROAFTN multicriteria classification method. PROAnt leverages the computational power of ant colony optimization (ACO) to dynamically fine-tune and optimize the key parameters, such as intervals and weights, at the core of the PROAFTN classification process. This learning methodology …

The Regionalisation Of Blockchain Technology As Asean Cybersecurity Strategy Against Terrorist Financing Through Cryptocurrency, Sabda Ningsih, Syuryansyah Syuryansyah

Global: Jurnal Politik Internasional

Through this study, the authors question how the prospects for ASEAN regionalisation relate to the development of blockchain technology as a cybersecurity medium. Based on previous research, ASEAN is facing a problem of terrorism, which is difficult to handle over time. The finding further exacerbates the fact that transnational terrorist groups have begun to use virtual currency as one of their strategies for funding organisations. Meanwhile, Southeast Asia, according to results of several surveys, includes areas with high numbers of cryptocurrency users, making it a target for blockchain technology companies to establish main offices. Within the framework of ASEAN regionalism, …

Customer Lifetime Value Prediction In E-Commerce, Shaimaa Alantali

Theses

The e-commerce market across the world currently deals with an urgent problem which has emerged because businesses now use automated pricing systems everywhere. Online merchants who automate their decision processes to handle changing customer needs and limited stock situations must face external business forces which push their teams to start destructive pricing battles that harm all businesses in the sector. The research investigates how a unified computational framework which combines demand modeling with advanced data analytics methods can enhance pricing strategies through market instability detection and prevention systems. The study creates a market simulator through data-driven methods which uses retail …

Affect Regulation In The Context Of Sexual And Gender Minority Stress: A Scoping Review Protocol, Daphne Y. Liu, Benjamin A. Swerdlow, Shao Yuan Chong, Nadia Kako, Alex Rubin, Nicholas S. Perry

Psychology: Faculty Scholarship

Objective

To provide a broad, comprehensive picture of affect regulation in the context of sexual and gender minority stress, this scoping review aims to identify and synthesize methods, methodologies, and available evidence pertinent to emotion regulation and coping in the context of minority stress among sexual and gender minority (SGM) people.

Introduction

SGM people face disproportionately high rates of mental health problems due to experiences of minority stress and lack of social safety. Theories and growing evidence suggest that affect regulation plays a critical role in SGM people’s well-being in the face of minority stress. Researchers have largely studied emotion …

Task-Optimized Brain Parcellations Reveal Latent Functional Organization For Enhanced Connectivity-Based Neuroimaging Classification, Andrew Hannum, Mario A. Lopez

Computer Science: Faculty Scholarship

Brain parcellation schemes are fundamental to neuroimaging, yet general-purpose atlases may obscure the specific functional architecture relevant to a given cognitive task or clinical condition. This reflects a growing consensus that the “optimal” brain map is context-dependent. Here, we introduce a novel framework that validates this principle by generating task-optimized human brain parcellation maps directly from supervised learning objectives. Our method defines functional parcels by grouping brain regions based on the similarity of their contributions to a classifier's decision boundary for a specific goal (e.g., cognitive state decoding or clinical group separation). This approach prioritizes a region's discriminative role over …

Statistics Of Glinting Clouds Observed By Dscovr And Geostationary Satellites, Tamás Várnai, Alexander Marshak, Alexander Kostinski

Michigan Tech Publications

This study examines how frequently the specular reflection of sunlight—that is, sun glint—reveals the presence of ice crystals that maintain a steady horizontal orientation. The study analyzes data from the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) spacecraft and from collocated images taken by geostationary satellites. The analysis of spatio-temporal variations in glint frequency over vegetated land surfaces reveals that (a) year-to-year variations are modest with no clear trends; (b) glints typically occur 7%–8% more frequently than previously estimated; (c) glints are most frequently observed during the May-August period, and over Asia. The results also …

The Long Goodbye Of The History Of Economic Thought Course In Liberal Arts Colleges In The United States, Humberto Barreto

School of Business and Leadership Working Papers

Economists of a certain age will remember a world in which the history of economic thought (HET) was alive and flourishing. Today, that is not the case. One little-noticed consequence of the elimination of HET from graduate programs in the United States is that the HET course is an endangered species at the undergraduate level. It is not, however, extinct. This paper offers a brief history of HET as a course and explores the extent of the diminution in HET courses in the undergraduate liberal arts college curriculum in the United States. Roughly 40% of 146 schools have a HET …

Pciafl: Personalized And Class Imbalance-Aware Federated Learning For Driver Behavior Classification, Osho Osho, Shubh Garg, Suchetana Chakraborty, Sajal K. Das

Computer Science Faculty Research & Creative Works

Automated understanding of driver behavior from vehicular kinematics is vital for safety-aware intelligent transportation systems. However, centralized cloud processing suffers from latency, scalability, and privacy issues. Federated Learning (FL) provides a decentralized alternative but faces two major challenges: (i) non-IID client data due to heterogeneous driving styles and sensors, and (ii) severe class imbalance, as risky behaviors are inherently rare. In this work, we propose a personalized FL framework that uses a shared CNN-LSTM backbone with client-adaptive classifiers and incorporates a cost-sensitive loss to address behavior skew. Evaluated on the UAH-DriveSet dataset, our method achieves 92.60% accuracy and 91.68% macro-F1, …

Rescue: Routing Under Evolving Stochastic Congestion And Uncertain Spread In Wildfire Emergencies, Sowjanya Tammali, Arindam Khanda, Anurag Satpathy, S. M. Shovan, Sajal K. Das

Computer Science Faculty Research & Creative Works

Wildfires cause unpredictable spread and panic-driven congestion, posing severe challenges to evacuation planning. We present RESCUE (Routing under Evolving Stochastic Congestion and Uncertain Spread in Wildfire Emergencies), a dynamic, risk-aware framework that models the road network as a time-varying weighted graph. RESCUE operates in two stages: (i) a preprocessing phase integrating fire forecasts, traffic density, and distance to assign edge weights, and (ii) a real-time routing phase that adaptively updates paths using a multi-granular strategy distinguishing macro-level disruptions (e.g., rapid spread) from micro-level changes (e.g., local congestion). Two stochastic edge-cost functions are introduced: the Edge-Fire Risk Function (EFRF), estimating road …

Enhanced Superconductivity And Vortex Dynamics In Quasi-1d Tas2 Nanowires, Mathew Pollard, Visakha Ho, Clarissa Wisner, Eric W. Bohannan, Yew San Hor

Chemistry Faculty Research & Creative Works

We report the synthesis of high-quality 2H-TaS₂ nanowires via a controlled two-step conversion process from TaS₃ precursors, achieving robust superconductivity with a transition temperature T c ≈ 3.6K, which is significantly higher than bulk 2H-TaS₂ (T c ≈ 0.8K). Structural and compositional analyses confirm phase purity and preserved one-dimensional morphology, while magneto transport measurements reveal an enhanced upper critical field μ 0 H c2 (2K)≈5 T, far exceeding the bulk value (_μ0H_c2 (0)≈1.17T), attributed to dimensional confinement and suppression of charge-density wave order. Magnetic characterization demonstrates complex vortex dynamics, including flux jumps and a …

Research Progress On Generating Perfect Vortex Beams Based On Metasurfaces, Xiujuan Liu, Manna Gu, Ying Tian, Mingfeng Zheng, Bo Fang, Zhi Hong, Chee Leong Tan, Xufeng Jing

Electrical and Computer Engineering Faculty Publications and Presentations

This article reviews the latest advances in the generation and control of perfect vector beams using metasurfaces. In recent years, metasurfaces have garnered increasing interest due to their simple fabrication and easy integration. Perfect vortex beams (PVBs), as a type of vector beams, exhibit complex polarization states that require the superposition of multiple phases for their generation. The use of metasurfaces provides a compact platform for the generation of perfect vortex beams and enables more complex vortex beam control tasks, which are quite challenging for traditional optics. This paper begins by introducing the principle of perfect vortex beam generation using …

Towards A Unified Gating Scheme For The Cnbd Ion Channel Family, Jenna L Lin, Baron Chanda

2020-Current year OA Pubs

Cyclic nucleotide-binding domain (CNBD) channels are critical components of numerous bioelectrical processes, including cardiac pacemaking, neuronal signaling, phototransduction in the eye, and stomatal regulation in plants. While members of this channel family share a conserved overall structure, they exhibit striking differences in voltage sensitivity. Hyperpolarization-activated cyclic nucleotide-gated channels are activated by membrane hyperpolarization, whereas ether-à-go-go channels open upon depolarization. Mutagenesis and chimeragenesis studies have revealed that some mutants display bipolar gating behavior-remaining closed at intermediate membrane potentials but capable of opening in response to both hyperpolarization and depolarization. Remarkably, in certain cases, just a few mutations are sufficient to reverse …

System And Method For Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery And Innovation, Chiranthan N

Defensive Publications Series

The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems …

Pastoral Ministry At The Intersections Of Life For A Synodal Church In Asia, Charles Bertille

Asia Pacific Mission Studies

This paper is condensed from the Keynote Address presented by the author at EAPI's 60th Anniversary. Pastoral ministry in Asia unfolds amid pluralism, migration, inequality, and shifting identities, requiring a vision beyond sacramental maintenance toward lived experience and communal struggle. Rooted in Vatican II, Asian theology, and the Synod on Synodality, ministry is participatory, dialogical, and mission-oriented. Synodality calls for conversion of spirit and structure: humility, discernment, and trust. Leadership must be missionary, interculturally competent, and committed to the poor and creation. Formation institutes such as EAPI and NIFSA serve as laboratories for synodal practice, fostering prophetic leadership. Ultimately, synodality …

The Phyrfly Opus: A Unified Standard For Spectrally Isolated Coordination, Neural Hierarchies, And Distributed Proprioception, Steven Kirkland

Defensive Publications Series

This monograph establishes 259 prior art claims for a decentralized, connectionless timing and positioning architecture (TARDIS). It formalizes the PHYRFLY nomenclature to distinguish low-level, hardware-scheduled Physical-Layer synchronization primitives from higher-level application orchestration.

The core novelty centers on a Spectral Isolation Model, which maps transport-agnostic architecture to biological firefly wavelength differentiation; this enables swarm-level isolation through physics (e.g., 802.11 vs. 802.15.4) rather than protocol-layer logic, ensuring that independent swarms occupying the same physical space are "blind" to one another at the RF front-end.

Key technical advancements established as prior art include:

• The Neural Hierarchy (Neuron → Ganglion → Plexus → …

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The Bombing Of Cities And Economic Sanctions: A Comparative Moral Analysis Using The Catholic Just War Tradition, Eric Marcelo O. Genilo

Landas

This essay analyzes two moral cases using the Church’s just war teaching: the Allied bombing of German cities during World War II and modern-day economic sanctions imposed by certain governments on other countries. The first part of this paper discusses the arguments used by moral theologian John C. Ford, S.J., in his article “The Morality of Obliteration Bombing,” to condemn the Allied forces’ policy of bombing civilian areas in Germany during World War II.1 The second part of this article discusses how economic sanctions are used in international relations as a non-violent means to punish or correct the behavior or …

Numerical Solution Of A Coupled Nonlinear Dynamic Problem Of Thermoviscoelasticity, Abdali Abdukarimov, Ibodat Turabekovna Khaldybaeva, Askarova Shamshetdinovna Ayjamal

Technical science and innovation

This paper presents a numerical solution of a coupled nonlinear dynamic problem of thermoviscoelasticity. A Duffing-type oscillator with temperature-dependent properties is used to model nonlinear hereditary deformable systems. After specifying the temperature dependences of the elastic modulus 𝐸 and viscosity parameter 𝜂 and introducing dimensionless variables, the problem is reduced to a system of nonlinear integro-differential equations. A numerical procedure for solving this system is developed, and representative examples are computed. The results are presented in graphical form for various values of the governing parameters.

A Probabilistic Modeling Analysis Of The Longitudinal Immune Response To Infection And Vaccination Across Demographic Groups And Pulmonary Symptoms, James O'Hanlon, Kaitlyn Sullivan, Lyndsey M. Muehling, Glenda Canderan, Jie Sun, Judith A. Woodfolk, Jeffrey M. Wilson, Rayanne A. Luke

Spora: A Journal of Biomathematics

Antibody and cytokine kinetics describe the dynamic response to immune events such as infection and vaccination. These dynamics are not fully understood, and mathematical characterization may help explain variability across demographic groups and pulmonary symptoms post-acute infection. We fit time-dependent probability models to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) data to obtain distributions of longitudinal antibody response and cytokine values. To assess differences between groups, an overlap metric is applied to the modeled response curves. Our antibody models suggest significant differences between male and female populations and demonstrate deficient antibody responses of less-healthy groups such as smokers. Our cytokine …

The Impact And Legacy Of The Kaplans, Craig Daniels

Journal of Math Circles

As we conclude this special issue on the Kaplans, we want to leave you with some reflections on their legacy. Craig Daniels attended seven week-long Math Circle Institutes organized by Bob and Ellen Kaplan at Notre Dame between 2009 and 2016, and was inspired to lead his own Math Circles for many years. Craig collected comments from many people who knew the Kaplans.

Bob And Ellen Kaplan's Brazilian Adventure: O Círculo Da Matemática Do Brasil, Angels Varea

Journal of Math Circles

Bob and Ellen Kaplan deployed their boundless energy to spread The Math Circle word in Brazil in what they called their “Brazilian adventure.” They are the inspiration for the project O Círculo da Matemática do Brasil and participated wholeheartedly in its implementation, travelling to Brazil six times over five years to train teams of young Math Circle leaders that taught over twenty-seven thousand underprivileged children within the framework of the project.

Can Physical Activity Improve Students' Stem Achievement? Results Of The Lithuanian Study Of Students In Grades 5–8, Agne Brandisauskiene, Julius Venskus, Egle Kemeryte-Ivanauskiene

Baltic Journal of Health and Physical Activity

Abstract: Background: Recognising the importance of physical activity for students' overall well-being and cognitive functioning, this study aims to investigate the relationship between the achievement of students in grades 5–8 in STEM subjects and their non-formal physical activity. Materials and Methods: The data for this study were gathered from the Lithuanian school management system. To categorize the marks into STEM subjects and non-formal physical sport activities, a RoBeRTa pre-trained model, a tool based on Natural Language Processing (NLP), was utilized. For the hypothesis testing of non-normally distributed data, the Mann–Whitney U test was employed. Results: The results of study show …

Predicting The Peak Bloom Of Yoshino Cherry Blossoms In Washington, Dc With Random Forest Regression, James Watkins, Ian Forde, Rene Salinas

Spora: A Journal of Biomathematics

Springtime ushers in a bouquet of flowering arrangements that create ripe economic and social opportunities. Since the Japanese ambassador's gift of 3020 Yoshino cherry trees to the National Mall in Washington, DC, the National Cherry Blossom Festival has occurred annually beginning in 1935. This festival is unique in that over one million visitors parade the Capitol area each year, drawing inspiration from the peak blooming date of the characteristic cherry trees. The NPS provided data on the several stages of Yoshino cherry trees leading to peak bloom from 2004–2024, while local climate data exists for temperature, rainfall, and other factors …