Digital Commons Network^™

A Neutrosophic Interpretation Of The Island Rule: From The Tethys Ocean To Urban Gigantism In Freshwater Crabs, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Iterative Neutrosophic Refinement For Reliable Tumor Segmentation In Brain Mri Images, Sofia Jennifer J, Kalaivani C, Saraswathi S

Neutrosophic Sets and Systems

No abstract provided.

Fuzzy Neutrosophic Turiyam Sets Diagrammatic And Operational Analysis With Real World Applications, Poongothai Eswaran, Balaganesan Palanivelu, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

A Unified Framework Of Fuzzy Neutrosophic Supra Set , Turiyam Set For Advanced Medical Diagnosis, Poongothai Eswaran, Balaganesan Palanivelu, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Bibliometric Study Of Neutrosophy As An Emerging Discipline, Miguel Cruz Ramírez, Osvaldo Jesús Rojas Velázquez, Elio H. Cables

Neutrosophic Sets and Systems

No abstract provided.

Dealing With Missingness In Uncertain Data Via Neutrosophic Exponential Imputation: Climate Data Insights, Anoop Kumar, Vishal Kumar, Vrijesh Tripathi

Neutrosophic Sets and Systems

No abstract provided.

Breaking The Chains Of Probability: Neutrosophic Logic As A New Framework For Epistemic Uncertainty In Large Language Models, Maikel Yelandi Leyva-Vázquez, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Applied Neutrosophic Triplets In Ai Decision Systems: Introduction To An Ongoing Case Study Across Agentic, Swarm, Rag, And Pipeline Architectures, Jean-Sebastien Beaulieu

Neutrosophic Sets and Systems

No abstract provided.

Probabilistic And Neutrosophic Coefficient Conditions In Geometric Function Theory With Applications To Sound Denoising Associated With Mersenne Polynomials, Ibrahim Tunji Awolere, Abimbola Adeniyi Ayeni, Abiodun Tinuoye Oladipo

Neutrosophic Sets and Systems

No abstract provided.

Mathematics Education And Its Contributions To Attention Deficit Hyperactivity Disorder, Randy Zabaleta, Osvaldo Rojas, Beatriz Villarraga, Miguel Cruz, Diana Pérez

Neutrosophic Sets and Systems

No abstract provided.

Real-World Implementation Of A Neutrosophic Logarithmic Estimator For Population Mean Estimation Under Stratified Random Sampling, Deep Shikha, Shakti Prasad, Deepak Majhi, Housila P. Singh

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 99,2026, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Construction Project Administration: Course Portfolio, Andre Messner

UNL Faculty Course Portfolios

This portfolio presents a structured framework for the design and implementation of a construction project administration course within a Construction Management program. Emphasis is placed on aligning student learning objectives, instructional strategies, and assessment methods with current industry expectations and professional standards. The course is intentionally designed to bridge the gap between theoretical knowledge and practical application by incorporating real-world scenarios, collaborative learning environments, and experiential activities that mirror industry practices.

In addition to outlining the course structure, this paper examines the pedagogical foundations that support student-centered learning, including constructivism, scaffolding, and project-based learning. These approaches are used to foster …

Injectable, In Situ Forming Peptide Nanofiber Reinforced Composite Hydrogels For Age-Related Macular Degeneration, Shambhavi Bagewadi Ms

Theses and Dissertations

Cell therapy for age-related macular degeneration (AMD) is limited by the absence of a functional substrate such as Bruch’s membrane (BM), which is critical for retinal pigment epithelial (RPE) cell survival and integration. Although preformed substrates have been explored, their implantation can disrupt the fragile retinal architecture, compromise ocular immune privilege and increase infection risk. To address these limitations, an injectable hydrogel capable of forming in situ was developed. The hydrogel consists of thiol-modified hyaluronic acid (HA-SH) and polyvinyl alcohol (PVA). Peptide nanofibers were incorporated to enhance structural reinforcement. Three self-assembling peptides - RADA-16, GAGA and GAGA-YIGSR were designed and …

Data-Driven Lpv Modeling Via Parametric Dmd And Predictive Control Of Highly Flexible Aircraft, Larry Catalasan, Tianyi He, Weihua Su

Mechanical and Aerospace Engineering Student Publications and Presentations

This paper presents a method of data-driven parametric dynamic mode decomposition (p-DMD) to derive a linear parameter-varying reduced-order model (LPV-ROM) and predictive control for the nonlinear aeroelasticity of highly flexible aircraft. It directly uses the data snapshots obtained at varying flight conditions and encodes a nonlinear model’s polynomial dependency on flight conditions to produce a polynomial-dependent LPV-ROM. The modeling method can handle not only equilibrium flight conditions but also continuously varying flight conditions. In numerical studies, the proposed data-driven p-DMD modeling is applied to a highly flexible cantilever wing perturbed around equilibrium conditions and a flexible aircraft with time-varying angles …

Continuity Of Care For Alcohol Use Disorder Patients Using Telehealth During The Covid-19 Pandemic, Martine Beaubrun

Walden Dissertations and Doctoral Studies

No abstract provided.

Perceived Concepts Which Influence Initial Methamphetamine Use Amongst Young Latina Women, Rebeca Rivera

Walden Dissertations and Doctoral Studies

No abstract provided.

Impact Of Covid-19 On Employee Well-Being In Healthcare Organizations, Tim Duy Dole

Walden Dissertations and Doctoral Studies

No abstract provided.

Family Caregivers’ Experiences Of Caring For Virally Nonsuppressed Hiv-Positive Adolescents In Uganda, James Byarugaba

Walden Dissertations and Doctoral Studies

No abstract provided.

Successful Laparoscopic-Assisted Management Of A Rare Purely Cystic Type Iv Sacrococcygeal Teratoma In Neonate: A Case Report, Alghalya Khalid Almaawali, Ahmed Alwahaibi, Yousuf Al-Shaqsi, Farman Laghari, Bashar Dawud, Marwa Al-Riyami

Sultan Qaboos University Medical Journal

Type IV sacrococcygeal teratomas (SCTs) are the rarest subtype of SCTs. We report a 2-week-old female who presented to a tertiary care centre in Muscat, Oman, in 2024 with abdominal distension and feeding intolerance. Imaging revealed a purely cystic presacral lesion, managed with successful laparoscopic-assisted cyst excision and coccygectomy. Histopathology confirmed a mature cystic SCT and the patient was diagnosed with a purely cystic Altman type IV SCT. The postoperative course was uneventful apart from minor wound dehiscence, which resolved with conservative management. Follow-up showed complete wound healing and no recurrence. Purely cystic Type IV SCTs are extremely rare and …

Perceived Impact Of Covid 19 On Dental Therapy And Hygiene Students’ Wellbeing., Morag Powell, James Donn, Vivian Binnie

Peninsula Dental School

AimThe aim of this research was to investigate any impact from the COVID 19 pandemic on the well-being of dental therapy students. MethodsDental therapy students were invited to participate in focus groups to explore any impact of COVID 19 on their wellbeing. One pilot and two online focus groups were conducted.ResultsThree themes were identified from the focus groups including stress in relation to clinical experience and assessment, pandemic behaviours and perceptions of the University.ConclusionThe overall conclusion of the research is that COVID 19 did have an impact on the dental therapy students’ mental wellbeing. The stress from worry over missing …

Electrical Grid Architectures For Smart Cities From Digitalized Power Systems To Ai-Enabled Urban Energy Ecosystems, Ehab Bayoumi

Mechanical Engineering

Smart cities increasingly depend on electrical grid infrastructures capable of operating under high levels of digitalization, decentralization, and intelligence while maintaining reliability, security, and governance at the city scale. However, conventional power systems, historically designed for centralized generation and passive operation, are poorly aligned with the operational complexity, multi-actor coordination, and cross-sector integration characteristic of urban energy systems. This review develops an architecture-first perspective on smart-city electrical grids, tracing their evolution from digitalized power networks to decentralized and AI-enabled urban energy ecosystems. Rather than focusing on individual technologies, the study evaluates grid architectures using a multi-layer framework that integrates physical …

The Lion's Share: The Secret Land Grab Of Drake's Circumnavigation, Melissa Cole Darby

Anthropology Faculty Publications and Presentations

Francis Drake’s journey around the world between 1577 and 1580 is renowned as one of the most famous voyages in history. The circumnavigation was a great achievement for England, but the official story Queen Elizabeth and her Privy Council maintained for nine years was that Drake was a pirate, and that the treasure he captured on the voyage would be returned to Spain. Upon his return, information about the voyage and his route were suppressed and the crew was sworn to secrecy: they were not to reveal where they travelled on ‘pain of death’. Here I present the case that …

Cloud-Based Ai Framework For Ev Charging Forecasting And Infrastructure Optimization, Jerry Gao, Neeraja Abhinav Buch, Thuan Chau, Yumeng Sheng, Rong Wang, Siri Kadalbal

Faculty Research, Scholarly, and Creative Activity

The growing use of electric vehicles (EVs) has created a strong need for smart, data-driven charging management systems that can support large-scale and sustainable infrastructure. This study introduces a modular cloud-based framework that combines artificial intelligence and machine learning to provide predictive insights for energy demand and station expansion. The system mainly consists of two complementary models. The first is an AutoRegressive Integrated Moving Average (ARIMA) model that forecasts charging energy demand using transactional data from Palo Alto. The second is a Light Gradient Boosting Machine (LightGBM) model that predicts optimal charging-station locations using spatial data from the U.S. Department …

Running Gait Kinematics Are Reproducible At The Beginning And End Of Two Different Intensity, Energy Expenditure Matched Runs, Using Either Discrete Points Or Functional Data Analysis, Sherveen Riazati, Nick Caplan, Philip R. Hayes

Faculty Research, Scholarly, and Creative Activity

Introduction – The aims of this study were to examine reliability of treadmill running kinematics: i) during two different intensity, energy expenditure matched, runs ii) at two time points within each run iii) using two different methods of statistical analysis. Methods – Twenty healthy club distance runners performed two high intensity interval runs (HIIT) and two medium intensity continuous runs (MICR). Kinematics during ground contact were analysed in all three planes of motion at the ankle, knee, and hip. Maximum angle and range of motion were identified and for Functional Data Analysis (FDA) all of the collected data was utilised. …

The Impact Of Mnar Attrition On Estimation Of Latent Growth Curve Models With Binary Observed Variables, Jason T. Newsom, Brian T. Keller, Mallory R. Kroeck, Nicholas A. Smith

Psychology Faculty Publications and Presentations

A Monte Carlo simulation was used to evaluate the performance of latent growth curve (LGC) modelswith binary observed variables when the attrition pattern was missing not at random (MNAR) for fivetime points. Parameter and standard error biases for three estimation methods were compared:weighted least squares with mean and variance adjustment (WLSMV), categorical robust marginal max-imum likelihood (categorical MLR), and Bayes. The results indicated that robust diagonal weightedleast squares paired with multiple imputation (MI) performed best when values were missing at ran-dom. When data were missing not at random, Bayesian estimates performed best.

The Implementation Of Digital Poster Media In Civics Learning To Improve Students' Ability To Express Opinions, Ilham Fajar Suhendar, Deden Nasihin, Tiara Adinda

Jurnal Pendidikan Humaniora

Digital poster media is an interactive online learning tool designed to help students learn through digital posters. Students can gain a better understanding of Civics concepts and improve their ability to express opinions through the implementation of engaging digital poster media in learning. This study examines the effectiveness of digital poster media in Civics education to enhance students' ability to express opinions. The research uses a quantitative approach with an experimental method. The results show that the application of digital poster media in Civics learning is effective in improving students' ability to express opinions. Students were proven to be more …

Bibliometric Analysis Of Learning Methods To Enhance Students’ Communication Skills In Indonesian Language Education, Sri Mulyanti, Dinni Nurfajrin Ningsih, Indri Hidayati Putri, Triana Meishanda, Rizky Firmansyah, Nurul Fatehah Norhazaruddin

Jurnal Pendidikan Humaniora

Indonesian language learning has increasingly emphasized methods to strengthen students’ communication skills. However, systematic mapping of research developments in this area remains scarce. This study employed bibliometric analysis using metadata retrieved from Google Scholar (2019–2024) through the Publish or Perish application. Data were analyzed based on quantitative, qualitative, and structural indicators with VOSviewer to identify publication trends and thematic clusters. Eight main research characteristics were identified: (1) development of Indonesian-based learning models such as Problem-Based Learning (PBL), (2) teacher–student interaction, (3) the teacher’s role in applying methods and influencing outcomes, (4) student performance and media use, (5) comprehension analysis, (6) …

American Struggle: Democracy, Dissent, And The Pursuit Of A More Perfect Union: An Anthology, Jay Nathan

Journal of Global Awareness

No abstract provided.

Fiscal And Monetary Policies For Inclusive Growth In Developing And Emerging Markets, Collins Anosike

Journal of Global Awareness

The study examined the effects of monetary and fiscal policies in attaining inclusive growth for some developing countries and emerging markets. The study selected 20 countries and grouped them into group one and group two. The study is unique because it captures a broader range of countries compared to previous studies and shows their effect on economic growth. We use panel data and employ OLS regression and Johansen cointegration. We examine how each variable, general government expenditure, gross national expenditure, total revenue, official exchange rate, broad money, and deposit interest rate, affects the dependent variable (real GDP) from 1980 to …