Digital Commons Network^™

Toward Sustainable 3d Printable Cementitious Materials: Low-Carbon Design With Fiber Reinforcement, Nima Mahmoudzadeh Vaziri

Miners Solving for Tomorrow Research Conference

3D printing of cementitious materials, as an emerging construction technology, faces challenges in both mechanical performance and sustainability. Conventional mixture designs rely on high cement contents, leading to increased CO2 emissions, while printed elements often exhibit brittle behavior with limited crack resistance and reduced post-cracking performance. This study investigates the development of low-carbon 3D printed cementitious composites using environmentally friendly supplementary cementitious materials (SCMs) and fillers, combined with fiber reinforcement to enhance mechanical performance. Locally available SCMs and fillers were incorporated to significantly reduce cement content (>40%) and improve sustainability. Fiber reinforcement was introduced to mitigate brittleness and enhance …

Leveraging Artificial Intelligence For Transformative Education: Challenges And Recommendations, Papia Bawa

Journal of Research Initiatives

The sheer force with which GPT models are inundating business, education and economic fields speaks to its ability to not only transform the ways in which we interact and act but also disrupt these ways. This systematic literature review applies the PSALSAR method to synthesize findings from 72 articles on AI applications in education, emphasizing its transformative potential across various domains. AI is transforming personalized learning by customizing content and feedback to individual needs, addressing challenges like data privacy and ethical concerns. It enhances administrative efficiency through automation and data-driven decision-making, improving institutional performance while managing biases and maintaining human …

Crowdsourcing Literary Recovery Using Iterative Search Techniques, Jean Lee Cole

Feminist Pedagogy

The Literary Recovery assignment teaches students how to develop keyword search search techniques to locate literary works and authors in online databases and text repositories. Using the assignment in a collaborative course project provides the benefit of crowdsourcing recovery efforts for prolific authors or groups of authors.

Scenario-Based Pareto Analysis For Multi-Objective Optimization Of Process Parameters To Improve Life Cycle Impacts: Case Study Of Ge Production, Dennis Dadzie

Miners Solving for Tomorrow Research Conference

Growing demand for critical minerals increases the need for clear evidence on the environmental burdens of their production. Life‑cycle assessment (LCA) quantifies impacts, but it does not by itself show how to navigate competing environmental performance improvement goals. We examine 63 process configurations for single‑crystal germanium made via chlorinated distillation using five indicators: global warming potential (GWP), water consumption (WC), fine particulate matter (FPM), terrestrial acidification (TA), and cumulative energy demand (CED). Across scenarios, WC is negatively correlated with GWP, weakly related to FPM, TA, and CED, while the other four indicators are strongly positively correlated. Pareto analysis highlights a …

Assessing Radon And Radon Progeny Deposition On Simulated Lung Filter System: Effects Of Cigarette And E-Cigarette Use Based On The Icrp Model, Manuela Isabel Arenas Alvarez

Miners Solving for Tomorrow Research Conference

This project investigates the potential interaction between radon exposure and e-cigarette aerosols, focusing on how radon progeny deposit in the lungs under combined conditions. An experimental system was developed to simulate regional lung deposition based on the International Commission on Radiological Protection (ICRP) model. The setup uses a filter-based design and a custom modular atomizer to generate stable aerosols, with four commercial plastic filters evaluated. Initial results demonstrate reproducible filtration behavior and a total deposition pattern matching ICRP predictions within 21% error. Ongoing work aims to improve agreement with regional deposition curves and enable combined radon–aerosol exposure experiments. This platform …

Measuring The Influence Of Ai Decision Support On Organ Procurement Coordinators’ Workflow, Amaneh Babaee

Miners Solving for Tomorrow Research Conference

Approximately 30% of deceased-donor kidneys remain unused, representing missed opportunities for transplantation. One potential solution is identifying hard-to-place kidneys earlier in the allocation process to reduce late-stage reassessment and allocation inefficiencies. Over a four-year project, our team developed an artificial intelligence (AI) algorithm that provides Organ Procurement Organization (OPO) coordinators with an AI score indicating the likelihood that a kidney will be transplanted. This study evaluates the impact of this AI score on kidney placement decisions. Using a pre–post experimental design, participants will first evaluate four donor kidneys without AI support. After watching a training video explaining the AI score, …

Preventive Maintenance Scheduling Using Artificial Intelligence And Decision Support Agent, Samiksha Aryal

Miners Solving for Tomorrow Research Conference

Preventive Maintenance models have traditionally relied on a time-based maintenance model, which uses fixed statistical distribution to represent the time-to-failure (TTF). The requirement of data-driven models and automated decision-making systems have become essential for modern manufacturing systems. The use of fixed statistical distribution limits the ability of existing models in producing solutions in real-time. Our model overcomes these limitations by implementing an empirical distribution to represent TTF. The empirical distribution is generated using a neural network which eliminates noise from the raw maintenance log. Renewal Reward Theorem (RRT) is implemented to efficiently provide maintenance threshold in real time. The use …

Robustness Of Fuzzy Artmap To Adversarial Attacks And Progressive Adversarial Training For Streaming Learning, Shane Cairns

Miners Solving for Tomorrow Research Conference

Incremental learners deployed on streaming data must remain robust to evolving adversarial perturbations, yet most adversarial-robustness studies assume offline multi-epoch training with repeated access to historical data. We investigate adversarial robustness in Fuzzy ARTMAP, a prototype-based Adaptive Resonance Theory model that supports single-pass learning without replay. We propose WB-Softmax, a differentiable relaxation that aggregates category-level activations into class-level scores for gradient-based attacks. WB-Softmax PGD achieves 89–100% attack success on vanilla models, exceeding transfer and query-based baselines. We then study adversarial training under true streaming constraints by comparing offline versus online adversarial example generation and standard versus selective updates. Offline adversarial …

2nd Annual Miners Solving For Tomorrow Research Conference - Graduate Schedule, Antai Dong, Connor Bell, Dennis Dadzie, Joshua Gary, Adebayo Olayinka Oke, Deeshani Mitra, Yejun Kim, Josiah Mcdermott, Samiksha Aryal, Nicholas Benner, Timothy Ennis, Maryam Sharifi Paroushi, Sujan Maharjan, Md Saiduzzaman, Hari Dhital, Manuela Isabel Arenas Alvarez, Eyuel A Getahun, Lucas Greiner, Amaneh Babaee, Shane Cairns, Nazish Khalid, Joseph Walton, Jie Shi, Ehsan Asheghianamiri, Mariam Elazhary, Makuach James Makeny Panther Athach, Rasman Mubtasim Swargo, Shiva Kumar Goud Kasani, Pablo Jara, Sara Mccauley, Hartzell Weston, Al Mojahid Afridi, Matik Heskin, Nima Mahmoudzadeh, Effat Eskandari, Amitav Sen, Rabin Pandey, Amirhossein Habibi, Nuzaer Omar, Mizanur Rahman Jewel, Nathan Tibbetts, Manoj Twarakavi, Farhana Bristy, Akhrorbek Narmatov, Mahnaz Asgari Sooran, Yafang Hei, Nathan Roberts, Khosro Ghorbani Zadeh

Miners Solving for Tomorrow Research Conference

No abstract provided.

Assessing The Effects Of Scale-Dependent Representation Of River Networks On Hydrologic Prediction, Hari Dhital

Miners Solving for Tomorrow Research Conference

Accurate hydrologic prediction at relevant spatial scales is essential for flood risk management. This study explores how spatial scale affects model parameters and simulation outcomes in the Hillslope Link Model (HLM). This was motivated by HLM implementation within the Next Generation Water Resources Modeling (NextGen) framework for the U.S. National Water Model. Since NextGen alters HLM's spatial scale from hillslopes to catchments, we assess how this change affects runoff generation and routing. We implement HLM at both scales using identical, predetermined parameters without calibration to isolate spatial discretization effects. Using approximately ten years of precipitation and streamflow data from watersheds …

Evaluation Of National Water Model Long-Range Streamflow Forecasts In Missouri, Sujan Maharjan

Miners Solving for Tomorrow Research Conference

Long-range river stage forecasts are increasingly used to support barge scheduling along the Missouri and Mississippi River navigation corridor. The reliability of these forecasts over extended lead times remains uncertain, particularly in regulated systems influenced by upstream dam operations. This study evaluates the lead-time-dependent performance of National Water Model long-range forecasts at eleven U.S. Geological Survey stations from Rulo to Thebes during 2019–2024. Results show that forecast skill does not decline smoothly with time but exhibits station-specific dips at lead times corresponding to hydraulic travel from major control structures. These periods coincide withstage bias and dispersion, indicating elevated operational uncertainty. …

Evaluation Of Channel Routing Module In The Nextgen National Water Model, Md Saiduzzaman

Miners Solving for Tomorrow Research Conference

The Next Generation Water Resources Modeling (NextGen) framework has a modular structure that enables the integration of multiple hydrologic models with channel routing processes. Within NextGen, the T-Route model performs channel routing using vector-based river networks and supports a hybrid routing approach within a single watershed. This study evaluates the hydraulic diffusive wave routing method implemented in T-Route and compares its performance with the operational Muskingum-Cunge routing used in the National Water Model. The primary objective is to assess the operational capability of streamflow data assimilation across different routing methods using an extensive network of streamflow observations. The routing models …

Controlled Gelation Of Co₂-Resistant Polymer Systems For Improved Conformance In Co₂-Eor, Maryam Sharifi Paroushi

Miners Solving for Tomorrow Research Conference

This presentation introduces a CO₂-resistant hydrogel developed to control fluid movement and improve CO₂ injection performance in subsurface reservoirs for Enhanced Oil Recovery (EOR) and Carbon Capture and Storage (CCS). Conventional polymer gels often lose strength in CO₂-rich environments, resulting in weak plugging, early breakdown, and ineffective flow control. To address this limitation, a sulfonated HPAM-based gel system crosslinked with chromium was developed. The effects of polymer concentration, molecular weight, crosslinker ratio, ionic strength, and pH were investigated to better understand gelation behavior and performance. The formulation exhibited controlled gelation, strong resistance to temperature and CO₂, and minimal shrinkage over …

Empirical Evaluation Of Policy-Based Reinforcement Learning For Dynamic Service Control In An M/M/1 Queue, Joseph Walton

Miners Solving for Tomorrow Research Conference

While reinforcement learning has been increasingly applied to stochastic control, limited work examines policy-based methods in queuing environments modeled as semi-Markov decision processes (SMDP). This study investigates how policy-based reinforcement learning (RL) algorithms perform when applied to service rate control in an M/M/1 queue, a common queuing model for manufacturing and service systems. The problem is formulated as an SMDP in which decisions occur at each new service, allowing an agent to select different service rates from a finite set of speeds, aiming to minimize an objective function that manages system congestion and energy costs. Three policy-based reinforcement learning algorithms, …

Structural Analysis On Iron Phosphate Glasses After Dechlorination Of Mixed Chloride Waste Forms, Lucas Greiner

Miners Solving for Tomorrow Research Conference

Molten salt reactors (MSRs) require durable waste forms for immobilizing halide-rich salts. This study examines iron phosphate glasses derived from a simple salt mixture (SSM), focusing on the effect of Fe₂O₃ additions (2.5–10 wt%) on structure and phase stability. Intermediates were processed at 300–600 °C and vitrified at 1050 °C. Raman spectroscopy and HPLC show that increasing iron content depolymerizes the phosphate network, shifting from Q² toward Q¹ species and reducing chain length. XRD confirms amorphous behavior for ≤7.5 wt% Fe₂O₃, while 10 wt% shows crystallization, with KFeP₂O₇ observed in samples processed at 400 °C. Despite reduced connectivity, iron enhances …

No Border Wall Coalition Letters To Elected Officials, Scott Nichol, No Border Wall Coalition

Border Wall / Border Security Documents

No abstract provided.

The Hunting Of Leviathan, Samuel Mintz

Hannah Arendt Marginalia - All

Cambridge [England] University Press, 1962.

Call # : B1247 .M5 1962

Contains underlining and marginal lining

PDF Information : 4.3 MB, 12 Pages

The Philosophy Of Existence, Gabriel Marcel

Hannah Arendt Marginalia - All

London, Harvill Press [1948]

Call # : B819 .M25

Contains underlining and marginal lining  PDF Information: 6 MB, 6 MB

Literature Review Of Local Culture-Based Mathematics E-Module With Islamic Values In Probability, Maya Puspita Sari, Surya Sari Faradiba

Jurnal Pendidikan Sains

This study is grounded in the need to address the limitations of probability learning that is often procedural, decontextualized, and disconnected from students’ cultural and religious values. It aims to develop a comprehensive understanding of how local cultural contexts and Islamic values can be systematically integrated into mathematics e-modules, particularly for probability learning, and to formulate structured design principles and quality indicators for their development. This paper adopts a Systematic Literature Review (SLR) approach by analyzing empirical studies published between 2020 and 2025, using a structured selection process involving identification, screening, eligibility, and inclusion stages. A total of 11 high-quality …

Augmented Reality In Physics Learning: Trends, Development Patterns, And Instructional Practices From Systematic Literature, Muhammad Musyaddad, Achmad Samsudin, Duden Saepuzaman, Ahmad Aminudin, Nisaul Afifah

Jurnal Pendidikan Sains

This study examines recent developments in the use of augmented reality (AR) in physics education within the evolving landscape of educational technology. The aim is to provide a comprehensive mapping of research trends, pedagogical approaches, and methodological characteristics of AR-based physics learning. Following PRISMA guidelines, a systematic search across four major databases identified 62 eligible studies published over the past five years. The findings reveal a consistent pattern in which AR is primarily used to support conceptual understanding of abstract physics topics, particularly electricity, mechanics, and magnetism, through inquiry-based and laboratory-oriented learning approaches. These implementations are commonly developed using systematic …

Bibliometric Mapping Of Problem-Based Learning In Primary Science Education, Lintang Auliya Kurdiati

Jurnal Pendidikan Sains

The field of Problem-Based Learning (PBL) in primary science education has expanded rapidly over the past decade, yet it remains fragmented and lacks full structural and intellectual coherence. Scholarly collaboration patterns, thematic evolution, and the interconnections among research topics are still insufficiently understood. This study employs a Systematic Literature Network Analysis (SLNA) approach, integrating a PRISMA-guided systematic literature review with bibliometric network analysis, to examine 146 peer-reviewed journal articles published between 2015 and 2025 and indexed in Scopus. VOSviewer and Biblioshiny were used to map co-authorship networks, keyword co-occurrence, citation linkages, and thematic clusters. The findings reveal increasing structural centralization …

Reading Literacy Research Trends In Science Learning (2015–2025), Siwi Handayani, Siswanto Siswanto, Rina Rahayu

Jurnal Pendidikan Sains

This study aims to analyze research trends in reading literacy within science learning from 2015 to 2025 through a Systematic Literature Review (SLR) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The initial screening of 150 articles from the WoS Core Collection and SINTA databases yielded 29 articles that met the inclusion criteria. The analysis focused on publication dynamics, contributing countries, participant characteristics, research variables, and the science subjects investigated. The findings indicate that research on reading literacy in science learning remains limited and shows fluctuating development. Most publications originate from national journals indexed by SINTA, …

Issue 483 April 2-16, 2026, The Local Voice

The Local Voice

Featured Articles: "Brett Young to Deliver 2026 Commencement Address. The University of Mississippi’s 173rd annual Convocation is slated for May 9 in the Grove."; "Clarksdale’s Juke Joint Festival Returns for Year 23. Bigger Than Ever and Still Rooted in the Delta."; "The View Beyond The Balcony: The Talking Stick Method."

Exposure To Manganese During Juvenile Development Increases Microglial Activation In The Hippocampus Following Systemic Infection With A/California/04/2009 Influenza A H1n1 Virus, Megan Hager, Adam Schuller, Omar Yanouri, Collin Bantle, Richard Smeyne, Ronald Tjalkens

Farber Institute for Neuroscience Faculty Papers

Up to 80% of patients with Parkinson’s Disease (PD) develop dementia within 20 years of diagnosis. Although the etiology of PD and related neurodegenerative disorders is poorly understood, risk factors including environmental toxicants and viral infections are linked to disease onset and progression. Exposure to high doses of the essential element, manganese (Mn), causes neurotoxicity associated with parkinsonian symptoms and cognitive impairment in humans. Additionally, epidemiologic studies indicate that viral infections increase risk of developing PD. Previously, our lab demonstrated that mice exposed to Mn during juvenile development showed greater neuroinflammatory changes in microglia within the substantia nigra following systemic …

Influence Of Moral Development, Religiosity, Achieved Belongingness, And Collective Narcissism On Conspiracy Theory Beliefs, Barbara Mahoney Lee

Walden Dissertations and Doctoral Studies

Belief in conspiracy theories has been linked to prejudice and societal instability, underscoring the importance of understanding the psychological factors that shape such beliefs. This quantitative correlational survey research examined the extent to which moral development, religiosity, achieved belongingness, collective narcissism, and political party affiliation predict conspiracy theory beliefs. Wood’s three-tier model of conspiracy theory beliefs provided the conceptual framework for the study. Using validated quantitative measures in an anonymous, demographically stratified sample (N = 279), a stepwise regression analysis assessed how individual and group-level factors contribute to conspiratorial thinking. Although political party affiliation was not an initial focus, preliminary …

Early Childhood Pre-Service Teacher Interns’ Experiences In Building Relationships With Students’ Families, Fungayi Madzonga

Walden Dissertations and Doctoral Studies

Strong relationships between educators and students’ families are essential for fostering learning environments to meet the needs of early childhood students. The problem that was addressed through this study is that many early childhood preservice teacher interns (ECPTIs) experience challenges in building relationships with students’ families during the internship phase of teacher preparation in Alberta. Framed by ecological systems and self determination theories, the purpose of this basic qualitative study was to explore ECPTIs’ experiences building relationships with students’ families and to understand the resources needed to strengthen those relationships in Alberta. Semi structured interviews were conducted with 12 ECPTIs …

Single State Agency Licensure Requirements For Substance Use Disorder Treatment Programs In The United States: Results Of A National Survey, Brooks Yelton Ma, Lmsw, Melissa A. Westlake, Amanda J. Abraham, Colleen M. Grogan, Olivia Hinds, Christina M. Andrews

Faculty Publications

Background

Substance use disorder (SUD) remains a critical public health crisis in the United States, with high prevalence and overdose mortality rates. Despite the availability of effective treatments, including medications that significantly reduce overdose risk, fewer than 20% of Americans with active SUD receive treatment annually. Single State Agencies (SSAs), which oversee federal funding and regulate SUD treatment programs, hold significant authority to impose licensure and reporting requirements intended to promote treatment quality.

Methods

This study presents findings from a national survey of SSAs across 50 states and the District of Columbia (94% response rate) conducted between 2020 and 2021, …

Improving Medication And Lifestyle Adherence Through A Standardized Clinical Practice Guideline, Chazemba Shamaila

Walden Dissertations and Doctoral Studies

Medication and lifestyle nonadherence remains a persistent and costly problem within healthcare systems and represents a critical gap in nursing practice. Approximately half of adults prescribed long-term medications do not adhere to recommended regimens, contributing to poor disease control, preventable hospitalizations, increased mortality risk, and substantial healthcare expenditures. These challenges are particularly pronounced in outpatient mental health settings, where symptom burden, cognitive impairment, treatment complexity, and social determinants of health further compromise adherence. Addressing medication and lifestyle nonadherence aligns with nursing priorities related to patient safety, quality improvement, and health equity. This Doctor of Nursing Practice (DNP) project focused on …

Online Path Planning For Disaster Response In The Presence Of Unknown Road Disruptions: A Comparison Of Research And Practice, Jannatul Shefa, Ashlea Bennett Milburn, Erica Gralla

Industrial Engineering Faculty Publications and Presentations

Purpose This paper aims to illuminate gaps between theory and practice in one crucial area of disaster logistics: transportation management between staging areas and final destinations, on uncertain and disrupted road networks. Relevant current practice in federal, state, nonprofit and private disaster response organizations in the USA is described and compared to pertinent assumptions in the literature on disaster response online path planning under uncertainty. Design/methodology/approach The study uses a qualitative approach. The disaster response routing literature informed the development of an interview guide used for in-depth interviews with disaster response logistics practitioners. Collected data were coded to identify how …

Out In The Arena: Examining The Lgbtq+ Experience In Ihsa, Katharine C. Didier

Honors College Theses

This study investigated factors influencing Intercollegiate Horse Show Association (IHSA) LGBTQ+ riders’ perceptions of inclusion, safety, and belonging, with the hypothesis that teams with diversity and inclusion policies would be perceived as more accepting. An online survey was developed to gather information from self-identified LGBTQ+ IHSA students. Questions covered demographics, team environment, and perceived inclusivity within their equestrian programs. Question types included multiple choice, Likert-type, short answer, and open-ended. IHSA coaches were asked to share the survey link with team members. Students were able to respond anonymously. The survey was open for 8 weeks. Reminders were sent out at 3 …