Digital Commons Network^™

Building Career Pathways: Investigating The Potential For A Cooperative Education Program For Graduate Itm Students At Central Washington University, Liam J. E Holland

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Susan Rivera, PhD

This research examines the feasibility of introducing a cooperative education (co-op) program at the master’s level in the Central Washington University (CWU) ITM Department. Methods included a review of existing co-op programs, analysis of interviews with past co-op students, and an examination of survey data on student interest in graduate-level cooperative education. The study aims to identify key elements of effective co-op programs and assess demand for such programs. The analysis of current co-op models offers insights into program structure, industry engagement, and student success. The 2019 NACE Internship & Co-op Survey found that 50.2% …

Cwu's Electronic Waste Management: A Success Story In Sustainable Practice, Srijita Gurung

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Susan Rivera, PhD; Kevin Lomax

Purpose: This research examines how Central Washington University (CWU) manages electronic waste (e-waste) to promote economic, environmental, and equitable sustainability practices. In February 2024, Computer Support Services (CSS) started a computer reconciliation project, which is vital due to the Windows 10 operating system going end of life after October 14, 2025, and no longer receiving software support. This project tracks and documents the life of electronic assets, with a focus on the role of Surplus and IT Asset Disposal (ITAD) companies. Method: The primary research methods involve interviews, and online research of active …

Optimizing Cybersecurity Through Ai Predictive Analytics And Human Expertise, Cathy Mae C. Dutong

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Hideki Takei, DBA

As cybersecurity threats evolve in complexity and scale, the reliance on artificial intelligence (AI) has become increasingly prevalent across both public and private sectors. This study examines the dual role of AI-driven predictive analytics in strengthening organizational cybersecurity, while addressing the ongoing need for human oversight. Through a mixed-method approach, combining survey data from cybersecurity professionals with an extensive literature review, this research analyzes AI's capacity to detect emerging threats, the systemic challenges associated with AI integration, and the indispensable role of human expertise in interpreting AI outputs. Findings indicate that while AI enhances proactive …

Global Trends In Ai-Driven Product Development: A Cross-Country Analysis, Shilpa Dhananjayan

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Hideki Takei, DBA

Artificial Intelligence (AI) is transforming industries and accelerating global innovation, yet its benefits remain unevenly distributed. A nation’s AI readiness—its capacity to adopt and implement AI technologies—plays a crucial role in economic growth and technological advancement. Key determinants of AI readiness include digital infrastructure, data accessibility, government policies, research and development (R&D) investment, and workforce development. This study examines the relationship between AI readiness, AI adoption, innovation, R&D investment of a nation, Digital Infrastructure Index (DII) and Human Capital Index (HCI) using a Random Forest regression model. Findings reveal a strong correlation between AI adoption …

Innovation Within Sustainable Technologies: The Future Of Energy Conserving Hardware In Data Centers, Brooke Cruz

Journal of the Symposium of University Research and Creative Expression

Project Mentor(s): Susan Rivera, PhD

The US is confronting a growing energy demand crisis, with analysts projecting a 2.4% rise in data center energy consumption by 2030. Data centers are major energy consumers, with primary usage concentrated in IT equipment and extensive cooling systems. While Power Usage Effectiveness (PUE) remains the leading metric for assessing energy efficiency, it is limited to assessing total facility energy and IT energy use without accounting for environmental and social impacts. Supplementary metrics of data center energy consumption include Water Usage Effectiveness (WUE) and Carbon Usage Effectiveness (CUE), which measure water use and carbon emissions, …

Chronos V. 16 Complete Issue, Chronos

Chronos

No abstract provided.

Pane, Pasta, E La Paesana: Women Under Italian Fascism, 1922-1943, Bianca Weber

Chronos

No abstract provided.

Machine Learning For Near-Proximity Operations, Dawson Jones, Rogelio Gracia Otalvaro

Discovery Day - Daytona Beach

The space economy is projected to grow to 1.8 trillion USD by 2030, according to the World Economic Forum and McKinsey & Company. As space operations become more common and diversified, the hazardous nature of the environment is worsened by the growing number of complex actors. Currently, ground segments manage these hazards and risks, but they are faced with potential operation challenges such as communications delays, communication issues due to single event upsets, and orbital perturbations. Additional environmental challenges that further complicate these operations might be satellite collisions, anti-satellite weaponry, orbital debris, and uncontrolled space. Furthermore, the increasing number of …

The Tax Adviser, Volume 10, Number 6, June 1979, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Synthesis Of Nitrogen-Enriched 3d Graphene Foam For Electrochemical Sensing Of Hydrogen Peroxide (H₂O₂), Bhargavi Dronavalli, Madhava Rao Vallabhaneni, Jatla Murali Prakash, Deepti Kolli, Dandamudi Srilaxmi

Karbala International Journal of Modern Science

In this work, A simple hydrothermal process was utilized to create 3D-foam-type Nitrogen-doped graphene (NDG). The synthesized material was characterized using a range of physicochemical characterization techniques. These techniques confirm that nitrogen is successfully incorporated into the carbon network, resulting in NDG. Cyclic voltammetry (CV) investigation demonstrated that NDG-modified glassy carbon electrode (NDG/GCE) displayed finite charge transfer properties against typical redox systems. NDG/GCE is identified as a simple, facile, and efficient electrocatalyst material for the estimation of hydrogen peroxide (H₂O₂). From CV analysis, it is revealed that NDG/GCE can produce a signal for electrochemical quantification of …

Investigating The Market Dynamics Of Aeroponically Cultivated Products With Delay, Pulak Kundu, Uzzwal Kumar Mallick

Mathematical Modelling and Numerical Simulation with Applications

Aeroponically grown potatoes offer higher yields and year-round production but often face delayed market entry due to high setup costs, technical barriers, and logistical challenges. A delay-based mathematical model has been newly proposed in this study to analyze the dynamics of demand, supply, and pricing for aeroponically grown products. The model’s existence, stability, and sensitivity have been investigated analytically, and numerical simulations have been carried out using the Runge-Kutta 4th order method with the dde23 solver. Findings reveal that market stability is maintained when delays are below seven years, but delays beyond this threshold lead to persistent fluctuations in price, …

The Saltpond Oilfield’S Second Life: Ghana’S Bioenergy With Carbon Capture And Storage (Beccs) Opportunity, Justice Appiah Nuamah

COP30

As the achievement of net-zero emissions requires the unavoidable deployment of Carbon Dioxide Removal (CDR) technologies, this paper presents a technical and policy case for Ghana to implement Bioenergy with Carbon Capture and Storage (BECCS) through the repurposing of the decommissioned Saltpond offshore oilfield for permanent CO2 sequestration. The proposal addresses two of Ghana’s developmental challenges in a single intervention: the conversion of millions of tonnes of agricultural and forestry residues into a sustainable feedstock solves a national waste management issue, while the resultant bioenergy generation supports rural electrification. This approach offers a more cost-effective CDR pathway than direct air …

A Multimodal Discourse Analysis Of Visual Representation In English Language Textbooks At The Elementary Level: A Social Semiotic Perspective, Amina Bashir, Aamir Aziz, Muhammad Imran, Norah Almusharraf

Khazar Journal of Humanities and Social Sciences

Textbooks serve as a significant and comprehensive resource for language learners. This study focuses on a Multimodal Discourse Analysis of Visual Representations found in English Language Textbooks, employing a Visual Social Semiotic Perspective. Utilizing the framework established by Kress & van Leeuwen (2020), which comprises Representational, Interactional, and Compositional modes, this research investigates the multimodal elements present within these textbooks to assess their role in enhancing comprehension through visuals. Adopting a qualitative descriptive methodology, the study analyzes a purposively selected sample of 158 images from elementary school textbooks. The findings reveal a disproportionate representation of males compared to females across …

Operating Fund Budget/ Expenditure Summary Report 1st Quarter 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

Operating Fund Budget/ Expenditure Summary Report 2025-26, Csusb Budget Office

University Budget Office records

No abstract provided.

A Feature Engineering Technique For Enhancing The Generalization Of Machine Learning Models In Estimating Crop Evapotranspiration, Gaku Yokoyama, Sohta Harigai, Shigehiro Kubota, Koichi Nomura, Gregory R. Goldsmith, Daisuke Yasutake, Tomoyoshi Hirota, Masaharu Kitano

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Accurate and precise estimation of evapotranspiration (ET) is crucial for understanding the terrestrial carbon, water, and energy cycles. While process-based models of ET, such as the Penman–Monteith model offer robust generalization capabilities, they are limited by the need for detailed parameters (e.g., stomatal conductance,) that are challenging to measure continuously. On the other hand, machine learning models can estimate ET by capturing relationships between ET and environmental variables without experimentally measuring model parameters. However, machine learning models face the challenge of limited generalizability. This issue is particularly significant given the uncertainty introduced by changing climatic …

Fundamentals Of The New Neutrosophic Matrices, Adebisi Sunday Adesina, Ogunmuyiwa Sodiq Damilola

Neutrosophic Systems with Applications

The New Neutrosophic Matrices provides a mathematical extension of classical and fuzzy matrix theory that incorporates the element of indeterminacy alongside truth and falsity. Neutrosophic logic, pioneered by FlorentinSmarandache, provides a richer framework for dealing with uncertainty and vagueness in real-world data. This study explores the definitions, classifications, and algebraic operations onneutrosophic matrices, including addition, multiplication, scalar operations, and the formation of identities.A comparative analysis is presented to highlight the distinctions between classical, fuzzy, and neutrosophic matrices. From the concepts, potential applications could be proposed most especially, for more problem solving as well as for future exploration.Findingsaffirmthat neutrosophic matrices offer …

Stabilized Weak-Gradient Discontinuous Finite Elements With Optimal Error Estimates For Second-Order Elliptic Pdes, Aymen Laadhari

Mathematical Modelling and Numerical Simulation with Applications

This work introduces an accurate finite element approach employing a new stabilized discrete weak gradient, designed for second-order elliptic problems on arbitrary conforming meshes. We formulate the approach within a discontinuous Galerkin framework and derive a consistent and coercive bilinear form. Appropriate error analysis on a model problem confirms optimal convergence. Building on the core analysis, we extend the method to more challenging settings, including time-dependent heterogeneous scenarios and a biophysically realistic optimal-control model of photobleaching in the budding yeast cell. We further illustrate the versatility of the weak-gradient construction by applying it to an unsteady level-set equation relevant to …

High-Order Adaptive Solutions For Coupled Fractional Riccati Equations Via Daubechies Redundant Frames, Mutaz Mohammad, Alexander Trounev

Mathematical Modelling and Numerical Simulation with Applications

Coupled fractional Riccati equations play a fundamental role in modeling complex systems with memory effects and anomalous diffusion, frequently arising in engineering, control theory, finance, and quantum mechanics. Their analytical and numerical treatment remains highly challenging due to the nonlocal nature of fractional-order derivatives and the presence of nonlinear coupling terms. This study introduces an adaptive numerical framework that combines the Caputo fractional derivative with redundant Daubechies wavelet frames. The method leverages multi-resolution analysis, compact support, and controlled redundancy to achieve accurate approximation of both localized and global solution features, particularly in scenarios characterized by singular behavior and long-range memory …

Near Real-Time Monitoring Reveals Extensive Recent Forest Disturbance In Ghana’S Protected Areas, Luofan Dong, Xiaojing Tang, Foster Mensah, Bashara Ahmed Abubakari, Kelsee H. Bratley, Pontus Olofsson, Curtis E. Woodcock

Faculty Scholarship

The Protected Areas (PAs) in Ghana play a critical role in preserving the abundant biodiversity of the West Africa Green Belt. But recent changes in policies and regulations have facilitated logging and mining activities, which have accelerated forest disturbances. While there is a consensus that PAs are undergoing destructive change, the extent, rate, and locations of forest disturbances are undocumented. In this study, we applied the fusion near real-time (FNRT) algorithm that utilizes Landsat, Sentinel-1, and Sentinel-2 data and sampling to monitor forests in the PAs of Ghana. The results reveal that 704.74 (±177.24) km2 of forest in the PAs …

Ole Miss Center Elevates Stem Education In Mississippi, Clara Turnage

University of Mississippi News

OXFORD, Miss. – A $5 million grant from the National Science Foundation will help support and train Mississippi teachers in the fields of science, technology, engineering and math.

The Effect Of Using An Educational Package On Cognitive Achievement And The Basketball Lay-Up Shooting Skill Performance Among Female Students, Rana Abdul Majeed Alwan, Humam Basim Mohammed

Modern Sport

The study demonstrated a statistically significant positive impact of the educational package on improving cognitive achievement and organizing content in a systematic manner. Its use also led to an improvement in skill performance for basketball free throws, particularly within the experimental group. The modern method outperformed the traditional one, although both contributed to learning. Furthermore, the package contrib The study aimed to I dentify the effect of using an educational package on the academic achievement of female students at the College of Education for Pure Sciences, University of Baghdad. The researcher adopted the experimental method, as it is suitable for …

Standardization Of A Visual Depth Test Tailored For Under-19 Tennis Athletes, Ibtisam Husham Jabur, Warda Ali Abbas

Modern Sport

This research provides coaches with a standardized, scientifically validated test to assess visual depth in youth tennis players under 19. The test aims to facilitate continuous evaluation of players’ performance during both training and official competitions. The research addresses the lack of standardized tests that accurately assess visual depth in youth tennis players under 19, particularly under conditions simulating actual competition. The absence of such essential assessment tools for this age group constitutes a significant research gap. Therefore, the researchers undertook the task of designing and standardizing the test. The objectives of the research included designing and standardizing a test …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Draft Final Reclamation Improvement Sites Field Sampling And Investigation Plan (Fsp): Bres No. 45 – Garfield Response To Agency Comments (Dated August 14, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Bres No.94 – Rialto Dump Reclamation Improvement (Ri) Field Sampling Plan (Fsp) (Dated August 21, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Final Uniform Federal Policy- Quality Assurance Project Plan, Hydrogeologic, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ai Exposure And The Future Of Work: Linking Task-Based Measures To U.S. Occupational Employment Projections, Erik Vasilauskas, Michael Horrigan

Reports

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Insufficiently Reclaimed Sites Field Sampling (Fsp): Bres No.177 - North Alice Culvert (Dated August 21, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Lens: Lightweight And Explainable Llm-Based Apt Detection At The Edge For 6g Security, Suhib Bani Melhem, Muhammed Golec, Abdulmalik Alwarafy, Yaser Khamayseh

All Works

Expected to be deployed in the early 2030s, sixth-generation (6G) wireless networks, with their high speed and integration with cutting-edge technology such as intelligent edge computing, expand the attack surface and face serious cyber threat risks such as Advanced Persistent Threats (APTs). This type of cyber attack can imitate benign network traffic and operate for long periods of time without being detected by traditional detection systems. This paper introduces LENS, a lightweight and explainable LLM-based network security framework designed to address this cybersecurity threat for 6G environments. LENS uses a fine-tuned DistilBERT model to convert raw network streams into natural …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Revised Insufficiently Reclaimed Sites Bres No. 158 – Waste Rock Dump Remedial Action Work Plan (Rawp) (Dated June 24, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.