Digital Commons Network^™

Cv: E. Maria Wheeler (Speech-Language Pathology), E. Maria Wheeler

Rehabilitation Sciences Department Curricula Vitae

No abstract provided.

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 …

Circumciser Type And The Type Of Female Genital Mutilation/Cutting Prevalence For Girls Ages 0-14 Years In Ethiopia, Jean-Pierre Ramazani Abedi

Walden Dissertations and Doctoral Studies

Despite ongoing eradication efforts, female genital mutilation and cutting (FGM/C) remains a major public health and human rights concern in Ethiopia. This quantitative study was conducted to examine how circumciser type (traditional cutter, birth attendant, or health professional) influences FGM/C prevalence and severity among girls ages 0–14, considering the moderating effects of residence and mothers’ FGM status, while controlling for age and income. Guided by the social ecological model and using 2016 E Ethiopian Demographic Health Surveys data, analysis indicates a significant association between circumciser type and FGM/C type (χ² (2, N = 1,553) = 6.86, p = .032), which …

Trends In The Implementation Of The Cyberchondria Severity Scale: Bibliometric Analysis, Adam C Powell, Cayetana Calderon-Smith

College of Population Health Faculty Papers

BACKGROUND: Cyberchondria, a combination of the words "cyber" and "hypochondriasis," is a condition that is receiving increasing attention from clinicians and researchers globally. Researchers are currently using multiple instruments to quantify it. Furthermore, the instruments have been translated into multiple languages.

OBJECTIVE: This study aimed to examine the extent to which researchers are measuring cyberchondria using the 33-item Cyberchondria Severity Scale (CSS) and its 12-item abbreviated version, the CSS-12. It also examined the relative use of cyberchondria instruments in different languages.

METHODS: PubMed and PsycInfo were searched for articles published between May 1, 2019, and December 31, 2024, featuring the …

Artificial Intelligence Agents Are Reshaping Sales At A Growing Pace, Marvis Herring

University of Mississippi News

OXFORD, Miss. – The future of sales may no longer hinge on how quickly humans can organize their pitch decks, analyze customer data or respond to shifting buyer preferences.

Powering Up Clinical Scholarship In Urology, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This presentation introduces core concepts of clinical scholarship for urology residents and faculty, with a focus on turning clinical questions into structured literature searches and using HSLIC resources to support small-scale scholarly projects. Key topics include framing answerable clinical questions (e.g., PICOT), navigating core clinical information tools (PubMed, EMBASE, CINAHL, ClinicalKey, UpToDate, HSLIC LibGuides), applying practical literature search techniques (Boolean operators, truncation, wildcards, proximity operators, subject headings), documenting basic search strategies, accessing full text (LibKey Nomad, proxy authentication, interlibrary loan and document delivery), and an introductory overview of critical appraisal tools and publishing supports available through HSLIC.

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.

Annual Report Of The Tennessee Emergency Communications Board Fiscal Year 2025, Tennessee. Department Of Commerce And Insurance.

Emergency Communications Board Annual Report

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 …

From Local To Global: Surabaya’S Paradiplomacy Strategy In Realising A Child-Friendly City, Muhammad Fajhriyadi Hastira, Ali Maksum, Muh Fichriyadi Hastira, Ramalina Ranaivo Mikea Manitra

Global: Jurnal Politik Internasional

Along with the development of decentralisation and subnational diplomacy, strengthening child protection at the city level has become an important part of the global agenda. This research aims to analyse the implementation of the Child-Friendly Cities Initiative in Surabaya City from a paradiplomacy perspective. In addition, this study seeks to explain the synergy between local, national, and global policies and identify opportunities and challenges using literature studies and analysis of official documents from the Ministry of Women's Empowerment and Child Protection (PPPA) and the Surabaya Office of Women's Empowerment, Child Protection, Population Control, and Family Planning (P3APPKB), the Surabaya City …

Ulama And Vision 2030: Saudi Arabia Government's Strategies To Navigate A Successful Economic Reform, Nashiha Ulya, Hamdan Basyar

Global: Jurnal Politik Internasional

Saudi Arabia's Vision 2030 seeks to diversify its oil-dependent economy, but scepticism persists due to past reform failures, particularly in fiscal policy and labour markets. Ulama, as key figures in the Saudi "social contract," play a vital role in legitimising government policies, especially on social and religious matters. However, reforms promoting private sector growth and social liberalisation have raised concerns among conservative ulama over potential threats to Islamic values. To address this, the government under Mohammed bin Salman (MBS) employs a strategy of separating economic and religious narratives while using a "carrot and stick" approach to manage ulama opposition. This …

On The Future Of The Blue Economy: Comparing Indonesia’S Role In The Asean And Lac Regions, Darynaufal Mulyaman, Bambang Dwi Waluyo, Dewi Aulia Maharani

Global: Jurnal Politik Internasional

This study aims to determine the concrete development and implementation of blue economy programs in the future by examining Indonesia's role in the context of international political economy, particularly through maritime diplomacy and cross-regional cooperation such as ASEAN, the Indonesia-Latin America and Caribbean Business Forum INA-LAC, and the Alliance of Island States AIS. Using a constructivist approach, this study concludes that Indonesia, as a middle-power country, utilises soft resources, such as maritime identity, sustainability values, and diplomatic leadership, to strengthen its position in global blue economy governance. The results of the study show that Indonesia has strategic potential for developing …

Aspects Of Board Diversity And Audit Fees: Evidence From An Emerging Economy, Aref M. Eissa, Yasser Eliwa, Ahmed Diab

All Works

This study examines the impact of board diversity by gender and nationality on audit fees. It also assesses how board diversity moderates the relationship between corporate financial risk and audit fees in the context of recent governance changes in Egypt, as a developing country. Using a sample of 360 firm-year observations of non-financial firms listed on the EGX100 from 2014 to 2019, we conduct univariate and multivariate analyses to examine the impact of board diversity on audit fees after controlling for firm and audit committee characteristics. Our results indicate a significant positive effect of corporate boards’ gender and national diversity …

Community Engagement And Experiential Learning To Understand Food Insecurity In Georgia’S Urban Environments, Gregory Gullette, Jenna Andrews-Swann, Nicole Villamil, Christin Cain

Southern Anthropologist

No abstract provided.

Teachers’ Experiences With The Use Of Read-Alouds For Fourth- And Fifth-Grade Students, Shervita Bryant

Walden Dissertations and Doctoral Studies

The research problem addressed in this basic qualitative study was the inconsistent use and implementation of teacher read-alouds among fourth- and fifth-grade teachers in an urban district. Guided by Clark and Peterson’s cognitive process teacher model, Rumelhart’s schema theory, and Gough and Tunmer’s simple view of reading, the purpose of this project study was to explore teachers’ experiences and perceptions regarding their use of read-alouds as part of their regular reading instruction. Two research questions were developed to explore teachers’ experiences of the support received for using the read-aloud. Semistructured interviews were conducted with 10 fourth- and fifth-grade teachers. Data …

Tampa Bay Mycobiome, Alyssa L. Fischer, Yanori M. Ferguson, Ojas Natarajan, Larry J. Dishaw

Making Waves REU

The marine mycobiome is a largely unexplored area of research despite its importance to the environment as a carbon sink, nutrient manager, and as a symbiont of various marine life. With rising temperatures, there is a need to identify the fungi present in these environments to monitor changes in biodiversity and their effect on climate change. Along Tampa Bay, six sites were chosen to collect samples from surface water using a CTD rosette system. The collected water was filtered, and DNA was extracted in order to classify and catalog species of both bacteria and fungi through 16S and ITS sequencing, …

Ndls Communicator: Week Of 01.05.26, Notre Dame Law School

NDLS Communicator

The Latest News

• Notre Dame Law School Welcomes Global Visitors for Spring 2026

Faculty Briefs

• Mary Ellen O'Connell
• Jimmy Gurulé
• Jeff Pojanowski

Events

• Retirement Party for Debbie Weiss

Around the Watercooler

• Christopher O'Byrne, Research Librarian resigns

Staff Spot Awards

• Nominations open now through March 10, 2026

Und Leads Implementation Team Meeting Agenda — January 5, 2026, University Of North Dakota

LEADS Implementation Documents

Agenda for the January 5, 2026 meeting of the UND LEADS Implementation Team. The agenda includes subgroup reports, review of Learning recommendation feedback, and discussion of the recommendation development process.

Perceptions Of Juvenile Justice Professionals Regarding The Effectiveness Of Juvenile Reentry Programs And Recidivism In The Southwest Region, Lei Anne Johnson

Walden Dissertations and Doctoral Studies

Juvenile recidivism persists in the U.S. justice system, highlighting the need for effective reentry programs. However, limited research exists on juvenile justice professionals’ perceptions of program success. The purpose of this qualitative study was to explore these professionals’ perceptions regarding the effectiveness of juvenile reentry programs in reducing recidivism. Guided by Bandura’s social learning theory, the study examined how observation and modeling influence youth behavior during reentry. The research questions focused on professionals’ perceptions of program effectiveness and how these perceptions impact recidivism reduction efforts. A qualitative phenomenological design involved semi-structured interviews with 13 juvenile justice professionals in the southwest …

A Prognostic Matrix Gene Expression Signature Defines Functional Glioblastoma Phenotypes And Niches, Monika Vishnoi, Zeynep Dereli, Zheng Yin, Elisabeth K Kong, Meric Kinali, Kisan Thapa, Ozgun Babur, Kyuson Yun, Nourhan Abdelfattah, Xubin Li, Behnaz Bozorgui, Mary C Farach-Carson, Robert C Rostomily, Anil Korkut

Faculty, Staff and Student Publications

Interactions among tumor, immune, and vascular niches play major roles in glioblastoma (GBM) malignancy and treatment responses. The composition and heterogeneity of extracellular core matrix proteins (CMPs) that mediate such interactions are not well understood. Here, we present an analysis of the clinical relevance of CMP expression in GBM at bulk, single-cell, and spatial anatomical resolution. We show that CMP enrichment is associated with worse patient survival, specific driver oncogenic alterations, mesenchymal state, pro-tumor immune infiltration, and immune checkpoint expression. Matrisome expression is enriched in vascular and leading edge/infiltrative niches that are known to harbor glioma stem cells. Finally, we …

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 …

Emergent Bias And Fairness In Multi-Agent Decision Systems, Maeve Una Madigan, Stuart Burrell, Kamalaruban Parameswaran, Glenn Moynihan, David Sutton

Defensive Publications Series

The present subject matter relates to a systematic study of emergent bias and fairness dynamics in multi-agent LLMdecision making. In particular, the present disclosure compares single-agent performance with memory-based and collective refinement multi-agent discussion paradigms across a suite of group fairness metrics on tabular datasets with sensitive attributes. Across settings, fairness changes from multi-agent collaboration relative to single-agent baselines are typically concentrated around small negative values or near zero, indicating that bias is most often only marginally reduced or remains unchanged, while a thin but long positive tail shows rare cases where multi-agent interaction can substantially worsen bias. These findings …

Wei Xiqin’S Evolutionary Plan For Modern China, Nianhong Qiu

Lingnan Theses (MPhil & PhD)

This study examines the thinking, practices, and significance of Wei Xiqin (1882- 1952). Born in Germany and educated in various European countries, Wei was a musician and educator who played an active role in the educational reform of the Republic of China. Wei was equipped with modern European thoughts but held deep reverence for Confucianism and other traditional Chinese classics. Examining this contentious figure in the wake of “Chinese Evolutionism” trend, this study investigates the differences between Wei’s evolution theory and the dominant evolution theory during early 20th-century China. Wei’s evolutionism, which I call a type of “Cyclic Evolution,” implies …

Multi-Device Synchronization For A Distributed Antenna Array In Non-Terrestrial Network Communication, Kasra Ghaemi, Ali Molaei, Gregory Black

Defensive Publications Series

Mobile communication with non-terrestrial networks can be impacted by signal degradation and link budget constraints. These impacts may result from factors including path loss over satellite distances and the limited transmit power of a mobile device. To address these impacts, multiple, physically distinct user devices can be coordinated to function as a distributed antenna array. A primary computing device, for example, a smartphone, laptop, or tablet, can orchestrate the operation of one or more secondary devices, such as a smartwatch, wearable device, or another smartphone. This orchestration can involve frequency and phase synchronization between the devices and spatial optimization of …

Reviewing Crowdsourcing And Community Engagement In Museums, Paul Longley Arthur, Lydia Hearn, Isabel Smith

Research outputs 2022 to 2026

Over the past two decades, museums have increasingly experimented with digital technologies to connect with broader contemporary culture. This review article investigates the role crowdsourcing can play in transforming museums into more engaged environments, raising visibility and inclusivity, and involving diverse voices and populations in knowledge-creation processes. Its contribution is to provide an overview of the history, definitions and concepts of crowdsourcing, and examples of crowdsourcing policies and practices that have been adopted by museums. Participation in crowdsourcing has been influenced by gender, education, and socio-economic and cultural background. In the past, historical structures and traditions and infrastructural complexities have …

The Black Mother-Daughter Developmental Model: A Life Course Framework For Understanding Matrescence, Identity, And Attachment In Black Family Systems, Brianna A. Baker

Publications and Research

This study introduces the Black Mother-Daughter Developmental Model (BMDDM), a life course framework that theorizes the evolving relational, psychological, and cultural dynamics of Black mother-daughter relationships across generations. Using a constructivist grounded theory approach, in-depth qualitative interviews were conducted with 18 Black women aged 18 to 65 and analyzed to examine patterns of attachment, identity development, rupture, and relational repair over time. Findings yielded a five-stage developmental model: (1) Black Matrescence and Prenatal Conditions, (2) Initial Attachment, (3) Separation and Detachment, (4) Negotiation and Reattachment, and (5) Matrescence Redux and Grandmatrescence. Across stages, participants described how gendered racial socialization, maternal …

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, …

Full Issue, Iajbs Ateneo De Manila University

Journal of Management for Global Sustainability

No abstract provided.