Digital Commons Network^™

Quantum General Relativity V2, James Glimm, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

We construct a quantum general relativity theory.. The construction includes specification of a cosmological model. Based on type Ia supernova data, the model has zero dark energy and zero cosmological constant.

The analysis is at the level of theoretical physics, with some mathematical details omitted.

The Pure Yang-Mills Field, \, Iia: The Axioms, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

A previously constructed pure Yang-Mills quantum gauge field theory is shown to satisfy all Osterwalder Schrader axioms.

Brst Conserved Moments For Fluids, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

This note adds a missing proof for an assertion in the original paper Gauge Invariance and Repeated Time Isolated Solution Discontinuities.

The assertion is that under weak limits and within a constant energy isosurface, enstrophy is conserved up to losses due to viscous dissipation.

According to the BRST theory for quantum Yang-Mills fields, the conserved moments are exactly those with infinite vacuum expectation values. Application of the BRST theory to fluids is explored. The BRST restriction to the loop expansion (fixed space) is justified by the reqirement that a perturbative expansion can be constructed. In this case the theory predicts …

Mathematicly Rigorous Quantum General Relativity, I: Pure, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

A pure general relativity (quantum or classical) is one lacking in matter. Such a field has a Lorentzian space time geometry. A renormalization perturbative expansion, truncated to all finite orders, establishes both the quantum and the general relativity theory with full mathematical rigor.

The Pure Yang-Mills Field. I: Eistence, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

Two pure Yang-Mills quantum gauge field theories are constructed, one based on short distance asymptotics and the other based on long distance asymptotics.

The construction is based on the axial gauge, ghost states, the BRST framework and Gribov extension of the Hamiltonian, with a loop expansion cutoff to all finite orders for the dynamics.

The construction is established by renormalized perturbation theory to all finite orders.

The construction depends on an assumed principle of a maximum rate of entropy production

Weak Solutions Of The Navier-Stokes Equation And Their Euler Limits, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

The existence of a weak solution of the incompressible isothermal Navier-Stokes equation with given initial conditions in the Sobolev space $\mathcal{H}_{-2}$ for energy fluctuations and in $\mathcal{H}_{-3}$ for enstrophy fluctuations is assumed. The existence is uniform with respect to the Euler limit of zero viscosity $\nu$. Thus, existence of weak solutions of the Euler equation with given initial conditions is established, and these Euler solutions are the zero viscosity limit of Navier-Stokes solutions, provided the Navier-Stokes solutions exist.

The Boson Yang-Mills Field: The Loop Expansion, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

This paper demonstrates convergence of the loop expansion for Yang-Mills fields.

The loop construction of perturbation theory is based on the axial gauge, ghost states, the BRST framework and the Gribov extension of the Hamiltonian, with the loop expansion perturbatively renormalizable.

The construction is established by renormalized perturbation theory convergent to all finite orders.

Two distinct Yang-Mills theories are constructed, one based on short distance asymptotics and the other based on long distance asymptotics.

The construction depends on an assumed principle of a maximum rate of entropy production.

The paper has sufficient generality to include existence for all cases that …

Evaluating The Role Of Power Electronics In Enhancing Renewable Energy And Smart Grid Performance: A Review, Muhammad Irfan Habib

ASEAN Journal on Science and Technology for Development

The review article demonstrates the importance of power electronics in propelling the increase of renewables and increasing the efficiency of contemporary electrical grids. In particular, it highlights the need for bidirectional converters for effective energy management in vehicle-to-grid (V2G) systems with two-way power transfer. The paper examines the series of complications offered by the significantly large integration of power electronic converter-interfaced renewables, such as those related to system steadiness, power quality, and resignation bottlenecks. Also, it recognizes a mix of new technologies, such as wide bandgap (WBG) semiconductors like silicon carbide (SiC) and gallium nitride (GaN), that deliver superior performance …

Extraction And Characterization Of Fresh And Dehydrated Cactus (Opuntia Ficus Indica) Polysaccharide For Hydrogel Preparation, Aye Thwe Thwesoe, May Myat Khine

ASEAN Journal on Science and Technology for Development

In this research, extraction of polysaccharide compounds from Cactus (Opuntia Ficus Indica) leaves in both fresh and dehydrated condition by solvent precipitation method using three types of water, acid (HCL) and NaOH. Before extraction, the physicochemical properties were examined to determine optimum yield (%) of extracted polysaccharide by optimization of Box-Behnken Design (BBD) of response surface methodology (RSM). The polysaccharide-based acrylamide hydrogel was prepared by free radical polymerization. The functional and structural characterization was done by FTIR, XRD and SEM for examination of extracted polysaccharide as raw polymer backbone in hydrogel preparation and prepared hydrogel as adsorbent for metal removal. …

Systematic Study On Preparation And Characterizations Of High Performance Bimetallic Pt-Co/Sba-15 Catalyst In N-Heptane Isomerization, Talib M. Albayati, Khalid A. Sukkar, Nisreen S. Ali, Mahir A. Abdulrahman, Basheer A. Abdulhussein, Issam K. Salih, Narges Elmi Fard

ASEAN Journal on Science and Technology for Development

Bimetallic catalysts were prepared by deposition of 1% of loading of (Pt-Co) onto SBA 15 support using heterogeneous reaction for enhancing hydroisomerization and promoting hydrocracking for the decomposition of n-heptane. The catalytic performance of the catalysts was subsequently evaluated thereafter. Characterization of the prepared catalysts was done by various techniques, which include XRD, FTIR, BETBJH, SEM/EDS, and TEM. The temperature range studied for this catalytic activity was 250 to 400 °C, at atmospheric pressure in a plug-flow reactor. The experimental setup kept a very rigorous control over the temperature, flow rate for the reactants, and pressure, while gas chromatographic techniques …

Unlocking Green Potential In Indonesian Small Medium Enterprises: Challenges And Opportunities For Sustainable Vermicelli Production, Togar W. S. Panjaitan, Karina Agustin, Prayonne Adi, Jani Rahardjo, I Nyoman Sutapa

ASEAN Journal on Science and Technology for Development

Due to limited initiatives and support, the transition to green manufacturing among small and medium enterprises (SMEs) in developing countries remains challenging. Through a critical literature review and case study of the Indonesian vermicelli industry, this study highlights the importance of collaboration and strong policies to address this. Other findings also reveal that the energy intensity and emissions in the sector exceed best practice benchmarks, with the cooking and drying stages contributing significantly to emissions due to high energy consumption. Lack of government regulations, company awareness, and understanding of applicable practices and technologies creates challenges in green manufacturing. The study …

Hybrid Model For Phishing Website Detection Using Transfer Learning, Atul Dubal, Mansi Subhedar, Santosh Dhamala, Manasi Patil

ASEAN Journal on Science and Technology for Development

The rapid digitization of human activities has intensified reliance on internet-based platforms, creating fertile ground for cybercriminal exploits such as phishing. Despite advancements in detection mechanisms, phishing attacks continue to evolve, leveraging sophisticated visual mimicry to deceive users. This paper proposes a robust vision-based phishing detection system using ensemble deep learning to analyse webpage screenshots. The framework integrates transfer learning with pre-trained VGG16 and DenseNet121 models, extracting complementary low-level texture features (edges, gradients) and high-level hierarchical patterns (logos, layouts). These features are fused through a custom classifier with dropout regularization to mitigate overfitting. A balanced dataset of 3,000 webpage screenshots …

Ai-Assisted Hybrid Ga–Pso Channel Allocation Under 3gpp Tr 38.901 Uma For Efficient 5g Radio Resource Management, Sharada Narsingrao Ohatkar

ASEAN Journal on Science and Technology for Development

The increased traffic and heterogeneity in the 5G/B5G network require efficient radio resource management (RRM). However, the existing methods, such as GA and PSO, have poor convergence speed and require proper initial conditions. Additionally, learning-based methods have high computational complexity. Hence, in this paper, a novel AI-assisted Hybrid Channel Allocation (AI–HCA) framework is proposed by using a support vector regression (SVR)-based predictive initialization method and GA-PSO optimization. Simulation results using the 3GPP UMa channel model show that the proposed method has a 28% reduction in call blocking probability (CBP), a 15-25% enhancement in spectral efficiency (SE), and a 18-25% enhancement …

Design Of An Economic Order Quantity–Based Dashboard For Vaccine Packaging Inventory Management, Hadi Susanto, Susmitha Canny, Alexandra Elizabeth Callistha, Shakira Dwi Purwandari, Naila Davina Aurelia

ASEAN Journal on Science and Technology for Development

Background: Timely availability of vaccine packaging is critical to pharmaceutical supply chain reliability, as packaging materials play a key role in maintaining cold chain integrity during distribution. Inadequate availability of packaging materials can disrupt vaccine delivery even when finished vaccines are ready for shipment. The case company faces frequent delivery delays, insufficient safety stock, and irregular replenishment of vaccine packaging materials, which have jeopardized the organization’s target of achieving a 90% on-time delivery rate.

Objective: To design and evaluate an Economic Order Quantity (EOQ)–based inventory dashboard for vaccine packaging that standardizes ordering decisions and strengthens stock visibility in pharmaceutical distribution …

Assessing The Influence Of Land Use Land Cover Alterations On Climate Variability In Thimphu & Chhukha, Sonam Zangpo, Karma Choki, Tashi Tobgay, Phurpa Rinchen, Tandin Tshewang

ASEAN Journal on Science and Technology for Development

This study examines the spatiotemporal dynamics of land use and land cover (LULC) changes and their influence on local climate variability in Bhutan using an integrated geospatial and machine learning framework. LULC changes during the period 2004 to 2022 were analyzed to understand their relationship with localized climate responses. Despite increasing urbanization pressures, comprehensive assessments linking LULC dynamics with climate variability in Bhutan remain limited. Geographic Information System (GIS) techniques and Random Forest classification were used to map LULC changes, while non-parametric trend analyses (Mann–Kendall test and Sen’s slope estimator) were applied to evaluate trends in key meteorological variables, including …

Understanding Waste Management Knowledge And Habits Of Senior High School Students In Lianga, Surigao Del Sur, Philippines, Arnele Mie A. Fanuga, Romy M. Avila, Reyl Justine J. Ballena

ASEAN Journal on Science and Technology for Development

The effective implementation of Solid Waste Management (SWM) in educational institutions is challenged by increasing student populations, limited infrastructure, and inconsistent policy enforcement. This study assessed the Knowledge, Attitudes, and Practices (KAP) of senior high school students regarding SWM in three secondary schools in Lianga, Surigao del Sur, Philippines. Data were collected using a descriptive-correlational design from 150 students selected through quota sampling. Pearson’s correlation analysis revealed significant associations between knowledge and attitude, and between attitude and practice. Knowledge scores were positively correlated across the three secondary schools. Students demonstrated a high level of awareness of the environmental and health …

Neuroevolution Of Compact Search Heuristics In Sokoban, Yeonghun Lee

Computer Science Honors Papers

This thesis investigates whether neuroevolution can produce heuristic functions for A* search on Sokoban that are drastically more parameter-efficient than a conventional gradient-trained baseline. Sokoban is a combinatorial planning puzzle that is both NPhard and PSPACE-complete, and solving it at scale requires an accurate cost-to-go heuristic to guide search. The standard approach fixes a neural network architecture and trains it by gradient descent; this thesis investigates whether evolutionary search over network topology can find heuristics that are competitive in accuracy while using orders of magnitude fewer parameters.

Four heuristic approaches are implemented and compared on the medium-difficulty split of the …

The Effects Of Tax Evasion On Inequality, David A. Weisbach, Thomas Coleman

Coase-Sandor Institute for Law & Economics Research Paper Series

To estimate inequality from tax data, researchers must allocate misreported income (e.g., evasion) to individuals. Misreported income, however, is not directly observed. Recovering true income therefore requires identifying assumptions about the joint distribution of true income and reporting, and these assumptions can substantially change estimated top income shares. A central reason is that membership in the reported top group is selected on compliance, an unobservable, so the composition of the reported top depends on assumptions the data alone cannot settle. We develop a computational framework that makes these assumptions explicit and clarifies how they shape estimates of inequality.We show that …

How Oregon School District Staffing Allocation Proportions Relate To Student Achievement As Measured By Essa-Aligned Key Indicators On The Oregon School Report Cards, David M. Wallace

Doctor of Education (EdD)

Grounded in the Educational Production Function framework and Oregon’s ESSA-aligned accountability system, this study examined the relationship between district-level staffing allocation proportions and student achievement outcomes. Within the constrained, zero-sum context of school district budgeting, the study examined whether the proportional distribution of personnel expenditures among certified, classified, and administrative staff was associated with differences in third grade English Language Arts (ELA) proficiency, eighth grade mathematics proficiency, attendance, and on-time graduation. Using an unbalanced panel of 519 district-year observations from Oregon public school districts (2021–2024), multiple regression models controlled for student poverty, disability status, and English learner enrollment. The findings …

The Intersection Of Bias And Practice: Understanding How Adult Beliefs And Ppt Expertise Affect Self-Contained Placement Recommendations In Special Education, Amy M. Martino

Doctor of Education (Ed.D.)

This mixed-methods Improvement Science Dissertation in Practice (ISDiP) examined high rates of segregation for students receiving special education services in an urban district in central Connecticut. A root cause analysis, supported by a review of existing literature, guided the need for intervention given the widening gap between academic achievement and post-secondary outcomes for students with disabilities as compared to their peers at the secondary level. Using an improvement science framework within a convergent mixed-methods design, this study investigated the implementation of a six-week professional learning intervention for high school administrators. The professional learning focused on the facilitation of Planning and …

Guidelines For Standard Basic Notations In Applied Statistics, Abhaya Indrayan, Shivani Saini Ms

COBRA Preprint Series

Whereas some statistical notations are standard and uniformly used by different workers, many are not. Varying notations lead to confusion among the readers, particularly those engaged with applied statistics material, such as medical professionals. This communication proposes that all basic notations be standardized so that the same notations are consistently used by different authors, in different books, journals, and articles for the benefit of those who are not rigorously trained statisticians. Guidelines for such standard notations are also provided. The lead must be taken by statisticians.

Chanticleer | Spring 2026 [Digitized Print Edition], Jacksonville State University

Chanticleer

No abstract provided.

Tracking Co2 Illinois Ccs Monitoring Wells, University Of North Dakota. Energy And Environmental Research Center

EERC Brochures and Fact Sheets

Fact sheet about the Illinois carbon capture and storage (CCS) project. Includes information on the project's CO₂ monitoring system.

The Great Lakes Social Studies Journal Volume 6, Issue 1 Full Issue, Linda Doornbos Dr., Michele S. Phillips

The Great Lakes Social Studies Journal

None

A Novel Lightweight Framework For Low-Light Image Enhancement Via Gaussian Denoising And Clahe, Daniel Oluwaseun Adesoji

Master's Theses or Doctor of Nursing Practice

Low-light image enhancement is a major challenge in digital imaging, especially in medical imaging, surveillance, and autonomous vision systems. Images captured under poor illumination often appear dark, noisy, and low in contrast, which makes it hard to observe important details. Traditional enhancement methods can improve brightness but usually introduce artifacts or increase noise. Although deep learning methods have shown strong performance, they usually require large datasets, and high computational resources. This creates a need for simpler and more efficient enhancement techniques. This study proposes a lightweight framework that incorporates Gaussian denoising with Contrast Limited Adaptive Histogram Equalization (CLAHE) to enhance …

Iowa Waste Reduction Center Newsletter, January 2026, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Jim's Final Farewell
--- MSEI for Central Iowa and for All Portable Plants
--- P2 Grant Ramps up to Enhance Brewery Pollution
--- Introducing Our Newest Interns
--- IStorm 26
--- Industry News

Necessary-Law Arguments, A. C. Paseau

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Development And Validation Of A Music Teacher Candidate Assessment, Phillip Hash

Faculty Publications - Music

The purpose of this study was to develop and validate the Music Teacher Candidate Assessment (MTCA), a rubric-based tool for evaluating student teachers in music classrooms. Factor analyses of scores issued by university supervisors (USs), cooperating teachers (CTs), and student teachers (STs) supported construct validity, explained 53.5% of the variance, and revealed two subscales: Pedagogy (I) and Professionalism (II). Concurrent validity resulted from a strong correlation (r_s = .83) between evaluators’ rubric averages and holistic ratings of performance. Inter-factor correlation (r = .65) confirmed discriminant validity. All groups exceeded the α ≥ .80 threshold for acceptable internal …

Understanding The Impacts Of Food Insecurity On Education Outcomes In Ohio, Maria El Biri, Sreya Tummalapalli

Scholarship in Medicine - All Papers

Background: Food insecurity has been a growing concern in the United States, and prior research has shown how food insecurity in youth can correspond to negative psychosocial outcomes. Additionally, there are known disparities with access to food based on living in rural or urban counties. Objective: The goal of this study was to determine how differences in food security can impact youth educational outcomes in Ohio. Methods: Data from County Health Rankings & Roadmaps were obtained on variables such as access to healthy foods, food insecurity, high school graduation rates, average grade performance, and percentage of the population living in …

Discrete Fourier Transform, Discrete Cosine Transform, And Applications In Compression, Peter T. Hoang, Navi T. Bountho, Kevin Gonzalez Ramon

SPARK Symposium Presentations

No abstract provided.