Digital Commons Network^™

Program Agenda 3-31-26, Angela Brock

Programs Committee (PC)

No abstract provided.

On An Approximate Solution Of One Class Of Systems Of Integral Equations Of The Second Kind, Elnur H. Khalilov

Baku Mathematical Journal

This paper provides a justification of the collocation method for a system of integral equations arising in boundary value problems for Maxwell’s equations. At specifically chosen collocation points, the system of integral equations is replaced by a system of algebraic equations, for which the existence and uniqueness of the solution are established. The convergence of the solutions of the algebraic system to the exact solution of the system of integral equations is proven, and the convergence rate of the method is indicated.

Nevada Science Olympiad, Christian Ison

Community Engagement Expo Research Posters

Since 2022, the UNLV School of Integrated Health Sciences has partnered with the Clark County School District to engage and inspire Nevada students through innovative STEM education initiatives. This ongoing collaboration supports the development and hosting of competitive STEM tournaments at the University of Nevada, Las Vegas, providing students with opportunities to explore science, technology, engineering, and mathematics while fostering critical thinking, academic achievement, and future workforce development.

Tech Trekker, Erika Marti, Yania Avila

Community Engagement Expo Research Posters

We are a team of faculty and students in STEM fields who are dedicated to providing cutting-edge technology to teachers and students in Las Vegas and nearby communities.

Our Mission: Our primary mission is to increase student exposure to and engagement in modern science and engineering tools in order to encourage students into high-demand STEM fields.

Annual Faculty Research Symposium 2026, Oakwood University

Proceedings

No abstract provided.

Ucc Agenda 3-31-26, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Icc Agenda 3-31-26, Angela Brock

Individual Course Committee (ICC)

No abstract provided.

Program Review Report 3-31-26, Angela Brock

Program Review Committee

No abstract provided.

Ucc Minutes 3-31-26, Angela Brock

UCC Agendas/Minutes

No abstract provided.

Exact Soliton Solutions Of The Nonlinear Time-Fractional Schrödinger Equation Via Atangana–Baleanu And M-Truncated Operators, Bahadır Kopçasiz, Fatma Nur Kaya Sağlam, Mehmet Şenol

Mathematical Modelling and Numerical Simulation with Applications

The main objective of this work is to obtain exact soliton solutions for a nonlinear time-fractional equation model describing wave profiles arising in various physical systems. To derive different wave structures associated with the considered model, two analytical techniques are employed: the extended G'\G^2-expansion method and the modified auxiliary equation (MAE) approach. A wave transformation is applied to reduce the nonlinear time-fractional equation to a nonlinear ordinary differential equation (NLODE) by means of the M-truncated and Atangana-Baleanu (AB) fractional operators. Several classes of solutions, including exponential, hyperbolic, and trigonometric wave forms, are obtained. Over and above the analytical results, graphical …

Dynamical Analysis And Optimal Control Of The Mpox Transmission Model With Stratified Susceptibility, Tuhfatul Janan, Fatmawati Fatmawati, Cicik Alfiniyah, Santi Martini, Dipo Aldila, Agus Hasan

Mathematical Modelling and Numerical Simulation with Applications

This study develops a mathematical model of Mpox transmission that combines stratified susceptibility (low-risk and high-risk groups) with vaccinated and asymptomatically infected compartments. The analysis of the model begins with examining the well-posedness, boundedness, and nonnegativity conditions for the solutions. The local stabilities of the equilibria are examined through the Jacobian matrix and phase plane analysis, while the global stabilities are provided through Lyapunov functions. The estimated parameters are verified using epidemiological data on Mpox cases in the United States, with an MAPE of 2.20% and R_0 > 1, indicating that Mpox remains endemic. Sensitivity analysis indicates that the contact rate …

Neutrosophic Sets In Neural Networks: Theory, Applications, And Challenges, Vladimir Simic, Dragan Pamucar, Hafiz Muhammad Athar Farid

Neutrosophic Systems with Applications

The integration of neutrosophic sets into neural networks presents a novel approach to handling uncertainty, indeterminacy, and falsity in data. Traditional neural networks typically operate under the assumption of precise and complete data, but real-world applications often involve noisy, incomplete, or ambiguous information. Neutrosophic sets extend fuzzy logic by incorporating three components: truth, indeterminacy, and falsity, allowing for a more nuanced representation of uncertain data. This paper explores the theoretical foundations of neutrosophic sets and their integration with neural networks, highlighting the challenges in computational complexity, training, and optimization. The paper also discusses the potential applications of neutrosophic neural networks …

Emergent Operator Logic: A Foundational Framework For Dynamic Reasoning And Generative Intelligence, Mona Gharib, Abduallah Gamal, Muhammad Nawaz, Basma Nasir

Neutrosophic Systems with Applications

This paper introduces Emergent Operator Logic (EOL), a framework that treats propositions as continuous operators $F_p:X \rightarrow X$ on a complete metric state space $( X,d )$ and evaluates truth after action via a continuous valuation $V:X \rightarrow [ 0,1 ]$. Logical composition is realized by three operator-level connectives: sequential $p \circ q$(causal order), parallel $p\parallel q$(1-Lipschitz cooperative blend), and the emergent synthesis $E( p,q ) = \frac12( F_p \circ F_q + F_q \circ F_p )$, which symmetrizes non-commuting actions. We provide a Hilbert-style proof system (sound), an algebraic semantics via E-algebras, and show that the category of E-algebras is …

What Is Alive? Students’ Conceptions Of The Traits That Unite Living Organisms, Jeremy L. Hsu, Meredith A. Dorner, Kate Hill

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Biology is the study of life, but students often hold misconceptions about what it means to be alive, with children often associating life with movement. These misconceptions can lead to biases in what students think is alive, with younger children often not thinking of plants as living given their lack of discernable movement. Despite this past work, there have been no prior studies that we are aware of that have examined how students in introductory biology conceptualize what it means to be alive. Here, we draw upon a fortuitous dataset collected from an in-class activity done on the first day …

On Fibonacci Ensembles: An Alternative Approach To Ensemble Learning Inspired By The Timeless Architecture Of The Golden Ratio, Ernest Fokoue

Articles

Nature rarely reveals her secrets bluntly, yet in the Fibonacci sequence she grants us a glimpse of her quiet architecture of growth, harmony, and recursive stability \citep{Koshy2001Fibonacci, Livio2002GoldenRatio}. From spiral galaxies to the unfolding of leaves, this humble sequence reflects a universal grammar of balance. In this work, we introduce \emph{Fibonacci Ensembles}, a mathematically principled yet philosophically inspired framework for ensemble learning that complements and extends classical aggregation schemes such as bagging, boosting, and random forests \citep{Breiman1996Bagging, Breiman2001RandomForests, Friedman2001GBM, Zhou2012Ensemble, HastieTibshiraniFriedman2009ESL}. Two intertwined formulations unfold: (1) the use of normalized Fibonacci weights -- tempered through orthogonalization and Rao--Blackwell optimization -- …

Fibonacci-Driven Recursive Ensembles: Algorithms, Convergence, And Learning Dynamics, Ernest Fokoue

Articles

This paper develops the algorithmic and dynamical foundations of recursive ensemble learning driven by Fibonacci-type update flows. In contrast with classical boosting Freund and Schapire (1997); Friedman (2001), where the ensemble evolves through first-order additive updates, we study second-order recursive architectures in which each predictor depends on its two immediate predecessors. These Fibonacci flows induce a learning dynamic with memory, allowing ensembles to integrate past structure while adapting to new residual information. We introduce a general family of recursive weight-update algorithms encompassing Fibonacci, tribonacci, and higher-order recursions, together with continuous-time limits that yield systems of differential equations governing ensemble evolution. …

Learning Ordinal Geometry: Semantic–Aware Kernels For Ordered Categorical Data, Ernest Fokoue

Articles

Ordinal data arise ubiquitously in survey research, psychology, medicine, economics, and recommender systems, yet kernel methods for such data typically rely on either nominal encodings or arbitrary numeric codings. The former discards order information; the lat- ter imposes a fictitious metric structure. This paper develops a principled framework for kernel design on ordinal scales and introduces a new class of Semantic–Aware Ordinal Ker- nels (SAOK) that simultaneously capture ordinal order and semantic proximity between categories. We begin by formalizing order–preserving embeddings of finite chains and characterizing a broad family of chain distances that are conditionally negative definite. Through Schoen- berg …

The Effectiveness Of Psychoeducation And Mind Mapping In Preventing Early Marriages In Central Java, Indonesia, Eviyati Aini Muriana, Mardiyono Mardiyono, Lanny Sunarjo, Melyana Nurul Widyawati

Jurnal Keperawatan Indonesia

During the COVID-19 pandemic, the number of early marriages increased. Early marriage causes biological and psychological problems in the mother and her baby. The combination of psychoeducation and mind mapping emerged as a preventive effort against early marriage. The aim of this study was to analyze the effectiveness of this combination in preventing early marriage in Central Java, Indonesia by influencing adolescents’ knowledge and intentions. This study was conducted using a convergent mixed-methods design. For the quantitative phase, the pre-test – post-test control group experimental design was used, while in the qualitative phase, a thematic analysis was performed using focus …

Exposing The Work Of The Market Through The Case Of Alternative Provision For English School Students, Nick Pratt, Elizabeth Done, Sam Morahan

School of Law, Humanities and Social Sciences

Pupils in England who for some reason are not able to attend school often find themselves in Alternative Provision (AP). These are special arrangements designed to address their specific needs and help them return to mainstream schooling. AP involves a financial agreement between the provider and the organisation that commissions the provision and thus operates as an explicit form of education market in which educational services are traded directly for financial recompense. We report on a case study of one AP provider in the South-West of England undertaken over a one-year period which generated data through individual, semi-structured interviews and …

Joint Channel–Spatial Attention With Curriculum Learning For Robust Crowd Density Estimation, Heba M. El-Hoseny, Heba F. Elsepae, Ehab K. I. Hamad, El-Sayed M. El-Rabaie

Mesopotamian Journal of Big Data

Accurate crowd counting remains a major challenge in computer vision due to perspective distortion, background clutter, occlusion, and poor illumination, which degrade feature representation and limit model generalization. This study introduces a robust and well-structured approach that integrates hybrid attention mechanisms with curriculum learning to enhance accuracy and stability in complex crowd scenarios. Gamma correction and CLAHE preprocessing enhance image visibility, facilitating the reliable detection of small and distant individuals under challenging lighting conditions. A mixed attention mechanism further enhances feature discrimination by emphasizing crowd-relevant regions while suppressing background noise. In addition, curriculum learning, guided by scoring and pacing functions, …

Shine: Multimodal Machine Learning Approaches For Solar Energetic Particles Events Event Prediction And Posthoc Analysis, Soukaina Filali Boubrahimi

Funded Research Records

No abstract provided.

Ai As Scaffold To Re-Center Human Reasoning In Student Learning, Rachid Ait Maalem Lahcen

Teaching Online Pedagogical Repository

The increasing availability of generative artificial intelligence (AI) tools has renewed concerns about the role of human reasoning in student learning. Although AI systems can efficiently generate explanations, uncritical reliance on automated outputs risks diminishing students’ engagement with interpretation and justification. This paper presents an instructional strategy that attempts to re-centers human reasoning by positioning AI as a scaffold rather than a substitute for thinking. The strategy emphasizes structured evaluation of AI-generated content through activities such as step-checking with reflection, error analysis, and dual-method verification. These activities are grounded in research‑based principles that have been shown to effectively support student …

The Effect Of A Visual Arts Training Program On Reducing Negative Behaviors And Developing Selected Skills In Children With Autism Spectrum Disorder, Buraq Ali Ahmed Alawadi

Journal of Language, Literature, and Arts

This study examines the impact of a visual arts–based training program on reducing negative behaviors and enhancing selected skills among children with Autism Spectrum Disorder (ASD). An experimental pretest–posttest design was employed with a sample of 20 children: 10 with moderate autism (mean age = 10 years) and 10 with mild autism (mean age = 6.5 years). The intervention included structured visual arts activities such as drawing, coloring, and clay modeling, which served as nonverbal communication tools to support emotional expression, attention, and social interaction. The results indicate that the program significantly reduced maladaptive behaviors, including self-injury, biting, and stereotypical …

Non-Hermitian Sl (3, C) Three-Mode Couplers, B. M. Rodríguez-Lara, Hamed Ghaemi-Dizicheh, Shahram Dehdashti, Andreas Hanke, Ahmed Touhami, J. Nötzel

Physics & Astronomy Faculty Publications

Photonic systems with exceptional points, where eigenvalues and corresponding eigenstates coalesce, have attracted interest due to their topological features and enhanced sensitivity to external perturbations. Non-Hermitian mode-coupling matrices provide a tractable analytic framework to model gain, loss, and chirality across optical, electronic, and mechanical platforms without the complexity of full open-system dynamics. Exceptional points define their spectral topology, and enable applications in mode control, amplification, and sensing. Yet N -mode couplers, the minimal setting for N th-order exceptional points, are often studied in specific designs that overlook their algebraic structure. We introduce a general sl(N , C) framework for arbitrary …

Analyzing The Impact Of Applying Ipsas 42 On Social Benefits In Enhancing Reporting Quality And Promoting Financial Sustainability, Burhan Hussein Khalaf Al-Rawi, Hasan Saleh Yusuf Al-Bajari

Muthanna Journal of Administrative and Economics Sciences

The study aims to explore the impact of applying IPSAS 42 on social benefits in enhancing the efficiency of financial reporting and strengthening the sustainability of financial capabilities within Iraqi government institutions. The study objectives were achieved by examining the nature and objectives of IPSAS 42, assessing the current state of disclosure of social benefits in government financial reports, and measuring the extent to which the social benefits standard contributes to promoting financial sustainability. The study relied on secondary financial data from a set of Iraqi government entities, including current expenditures, capital/investment expenditures, oil revenues, non-oil revenues, fiscal deficit, and …

The Impact Of Green Lean Manufacturing On Sustainability Dimensions: An Analytical Study Of Opinions A Sample Of Employees At The National Home Furniture Manufacturing Company, Rana Salim Mataab

Muthanna Journal of Administrative and Economics Sciences

This study aims to determine the extent of the association and impact of green lean manufacturing practices on the dimensions of sustainability (economic, social, and environmental) from the point of view of individuals working in national companies for the manufacture of home furniture. To achieve this goal, a questionnaire was designed according to a five-point Likert scale. In July 2024, using the cross-sectional studies approach, (213) responses that could be analyzed statistically were collected from the study sample. These data were analyzed using two software packages: (AMOSv24) and (SPSSv26). The results indicate that green lean manufacturing practices are associated with …

Green Value Chain Analysis And Its Role In Improving Resource Allocation Decisions: A Case Study In Diwaniya Dairy Factory, Ail Abdul-Hussein Hani Al-Zameli, Nabaa Duaa Fakher

Muthanna Journal of Administrative and Economics Sciences

The purpose of this study is to justify the role of The green value chain as a modern technique of management accounting in facilitating investment decisions and optimizing the effectiveness in resources utilization at industrial units. The premise underlying the study is that green value serves as a frame of reference for analysing activities, which in turn allows to separate value-adding from non-value adding ones, leading to cost reduction and environmental soundness. Management is also not about finding faults for waste and allocating funds, it's all about tapping new ways of creating value by eliminating non-value adding activities. The deductive …

Neutrosophic Probability With Dynamic Temporal Uncertainty (Nptu), Bhimraj Basumatary, Ashoke Kumar Brahma

Neutrosophic Systems with Applications

This paper introduces Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU), an extension of classical neutrosophic probability that incorporates the dimension of time. In classical neutrosophic probability, the degrees of truth, indeterminacy, and falsity are considered static. However, real-world uncertainties evolve, and their degrees change as new information becomes available. NPTU models these uncertainties dynamically, allowing for more accurate decision-making in time-varying environments. The paper explores key mathematical properties of NPTU, including entropy, distance measures, similarity measures, and Kullback-Leibler (KL) divergence, to quantify and compare temporal uncertainty states. The proposed framework is demonstrated through a case study on stock price prediction, …

Double-Valued Complex Neutrosophic Graphs, Suriyakumar G, V. J. Sudhakar, Takaaki Fujita

Neutrosophic Systems with Applications

This paper introduces a novel graph-theoretic framework, called the double-valued complex neutrosophic graph, as an extension of double-valued neutrosophic set theory. Within this framework, we investigate several important classes of such graphs, including self-complementary, strong, and full double-valued complex neutrosophic graphs, and establish a number of their fundamental properties. To clarify the proposed concepts and demonstrate their structural behavior, several relevant illustrative examples are also provided.

A Hybrid Multi-Criteria Decision-Making Approach For Sustainable Forest Fire Monitoring Using Unmanned Aerial Vehicles, Mohamed Eassa, Ahmed Abdelhafeez, Ahmad M. Nagm

Neutrosophic Systems with Applications

Unmanned aerial vehicles (UAVs) have become an effective tool for forest fire monitoring. This study evaluates UAVs for forest fire management, addressing the challenges posed by ambiguous and uncertain factors. Single-valued neutrosophic sets (SVNSs) are employed to model complex uncertainties, as they incorporate three distinct membership values: false, true, and indeterminate. The evaluation of UAVs is a multifaceted task due to the variety of factors involved. To address this complexity, multi-criteria decision-making (MCDM) methods are used. Specifically, the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are integrated with SVNS to …