Digital Commons Network^™

Motivating Passion And Purpose In Grade Six Students Through Game-Based Learning, Violet H. Harada, Patricia Louis

Learning Hub

This article examines how a sixth-grade pathways course at Kamehameha Schools in Hawai‘i leveraged Game-Based Learning (GBL) and Indigenous knowledge to foster student agency, creativity, and environmental stewardship. Designed and taught by school librarian Patricia Louis with support from a multidisciplinary instructional team, the Nā Lawai‘a Hawai‘i (Fishing, Hawaiian Style) elective engaged students in researching the ‘Ama‘ama (Hawaiian striped mullet) and the ecological challenges it faces, then translating their learning into the design of a board game, ‘Ama‘ama Escape. Grounded in constructivist, learning-by-making principles, the course guided students through an iterative design process that included inquiry, collaboration, prototyping, and playtesting. …

Can Palm Logs Float? Evaluating The Physical Viability Of Raft Transport For Rapa Nui Moai, Carl Philipp Lipo, Terry L. Hunt

Anthropology Datasets

Recent suggestions that palm log rafts may have transported moai statues on Rapa Nui require evaluation of whether fresh palm wood can provide sufficient buoyancy for multi-ton cargo. This analysis integrates experimental flotation tests, structural analyses of palm stem anatomy, and buoyancy calculations using modern palm analogs to reconstruct the extinct Rapa Nui palm. Fresh palm logs sink when placed in water because of their internal structure: stems consist of approximately 20% liquid by volume, contained within thousands of water-filled vascular tubes, surrounded by a thin, brittle cortex. This yields effective densities of 800-1,200 kg/m³ that approach or exceed seawater …

How Principals Who Use Artificial Intelligence For Innovation Create Cognitive Equity While Principals Who Use Ai For Efficiency Create Cognitive Debt, Jethro Jones

Dissertations

This dissertation in practice examined whether a targeted professional learning   intervention could shift school leaders’ use of generative artificial intelligence (AI) from efficiency-oriented tasks toward innovation-oriented strategic problem solving. AI is typically adopted to accelerate existing routines, which can deepen “cognitive debt” by reinforcing ineffective practices rather than improving systems. This study advanced a “cognitive equity” frame, positioning AI as a tool that can expand principals’ cognitive capacity to address complex problems and lead adaptive change. Using a quasi-experimental, single-group design, the study evaluated a free, full-day AI for Innovation workshop, which emphasized foundational understanding of how AI tools work …

Introducing Safe-Ai: A Behavioral Framework For Managing Ethical Dilemmas In Ai-Driven Human Resource Practices, Rob E. Carpenter, Debaro Huyler, Sanket Patole, Rochell Mcwhorter

Human Resource Development Faculty Publications and Presentations

Organizations increasingly deploy artificial intelligence (AI) in human resource (HR) decision processes to improve efficiency and strategic execution, yet ethical failures persist when principles remain decoupled from everyday workflow enactment. This paper addresses AI-ethics in HR practice by advancing a behavior-first premise: AI-ethics becomes durable organizational practice only when ethical intent is translated into observable routines and cues that employees can interpret as legitimate and consistently enforced. We introduce the Socially Aware Framework for Ethical AI (SAFE-AI), which integrates normative ethical reasoning (consequentialist and deontological logics), social information processing, and socially informed heuristics as a practical translation layer for HR …

Accuracy Improvements For Electroencephalography (Eeg) Eye State Classification Using Extreme Gradient Boosting And Cluster Ensembles, Hossein Ahmadi, Mehrbakhsh Nilashi, Abdullah Alghamdi, Rabab Ali Abumalloh, Mesfer Alrizq, Sultan Alyami, Waleed Abdu Zogaan, Fatima Khan Nayer

School of Nursing and Midwifery

Electroencephalography (EEG) eye state classification is crucial as it enables noninvasive monitoring and identification of different eye states. This importance has been underscored in studies exploring the use of machine learning techniques for accurate classification. Previous research has primarily applied supervised learning methods to EEG signal analysis for eye state classification using real-world datasets, focusing on improving accuracy through novel algorithms. Achieving high classification accuracy remains a key objective in EEG signal analysis. This study introduces a hybrid method designed to handle multivariate signals and nonlinearity. By integrating both supervised and unsupervised learning, the proposed approach aims to achieve high …

Board Of Directors Meeting Minutes (February 9, 2026), Dmacc

Board of Directors Meeting Minutes

This file contains the minutes from the Des Moines Area Community College Board meeting held on February 9, 2026.

Explore Uncharted Ideas With Tedx University Of Mississippi, Staff Report

University of Mississippi News

OXFORD, Miss. – With topics ranging from groundbreaking science to frontier education, TEDx University of Mississippi invites the community to "Uncharted," a TED-licensed event with seven thought-provoking speakers set for 7 p.m. Feb. 20 in the Gertrude C. Ford Center for the Performing Arts.

Hampton’S Legacies Across Black And Indigenous Education: Subhumanity, Genocide And Self-Determination Of The Past And Present, Arcasia D. James-Gallaway, M. Nathan Tanner, Francena F.L. Turner

College of Humanities and Social Sciences

How are Black and Indigenous education in the US related? How are antiBlackness and settler colonialism interconnected? This essay addresses these questions, reexamining the history of one of the only US schools to educate both groups: Hampton Normal and Agricultural Institute. To explore the contemporary legacies of Hampton, we bring together a race-centered historical methodology and Black and Indigenous studies perspectives. We argue that three enduring legacies – subhumanity, genocide and self-determination – with roots in the school itself frame the present, collective struggle for Black and Indigenous justice in education. This focus provides both historical and current insights with …

Cationic Poly(Glucosamine)-Based Polymers Bind To Glycans With Varying Affinity Facilitating Transport Across The Glycocalyx Of Endothelial Cells, Claire Bridges, Lu Fu, Dan Wang, James D. Sterling, Susanna Liang, Shenda M. Baker, Jonathan Yeow, Megan S. Lord

Business and Information Technology Faculty Research & Creative Works

Natural polysaccharides, such as chitosan, offer promising avenues for drug delivery due to their cytocompatibility and ability to interact with cell surfaces. However, the endothelial glycocalyx, a glycan-rich extracellular matrix, presents a barrier that must be navigated for effective intracellular delivery. This study investigates how cationic poly(glucosamine)-based polymers, functionalized with guanidinium or ammonium groups, interact with key glycocalyx components including hyaluronan (HA) and heparan sulfate (HS). We demonstrate that these cationic polymers form tunable biomolecular condensates with glycans, with stronger binding observed for sulfated glycans, HS and heparin, than unsulfated HA. Derivatized chitosan polymers with varied cationic side chains exhibit …

Fear From Eating Outside? Assessing The Impact Of Covid-19 Pandemic On Consumer’S Willingness To Utilize Catering Services In China, Yunwei Li, Qiuping Ji, Vivian Valdmanis, Jingqi Li, Guanrou Deng, Rui Guo, Yu Hao, Zhi-Nan Lu

Bulletin of Monetary Economics and Banking

Since the onset of economic reforms, the catering industry has been playing a crucial role in China’s economic development. However, due to the outbreak of the COVID-19 pandemic, the Chinese government has implemented strict pandemic prevention policies such as (home quarantine and suspending work and production facilities) leading to losses for a variety of industries, especially catering industry. As the main driving force on the demand side, residents’ willingness to pay for catering can play an important role in the post-pandemic economic recovery. In this study, we employ primary data of 1,072 respondents from an online survey to investigate the …

Design And Economic Assessment Of A Sustainable Standalone Photovoltaic System For Hospital Lift Applications, Tasneem M. Abed, Saad S. Eskander, Mohamed A. Elsayes, Mohamed Zaki

Mansoura Engineering Journal

This study presents an optimized design and operation strategy for a stand-alone solar photovoltaic power system to drive a 4.5 kW elevator at Mansoura University Hospital, Egypt. The research aims to reduce the battery bank capacity and overall system cost while maximizing the utilization of solar panels. A novel "Optimum Operator System" is proposed, incorporating three power switches controlled by an Arduino microcontroller. The system's performance is analyzed through extensive modeling, simulation, and experimental validation. Results show a significant reduction in battery bank capacity, with 7 fewer 100 Ah batteries required compared to conventional systems. The proposed method significantly enhances …

Lanthorn, Vol. 60, No. 11, February 9, 2026, Grand Valley State University

Volume 60, August 4, 2025 – April 20, 2026

Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.

Generalization Under Sub-Population Shift: Equitable Models For Imbalanced, Long-Tailed, And Fair Representation Learni, Faizanuddin Ansari

Doctoral Theses

Machine learning systems often experience performance degradation in real-world scenarios due to subpopulation shift defined as mismatches in the distribution of classes or attributes within datasets. This thesis investigates generalization failures arising from class imbalance, long-tailed distributions, and attribute-level biases (specifically, attribute-level biases that originate from demographic imbalances in sensitive domains, such as medical imaging). It proposes principled strategies to mitigate these effects in both classical and deep learning frameworks. Class imbalance and long-tailed distributions pose significant challenges, especially in real-world applications where minority classes are underrepresented yet critically important. To address these challenges, this work develops novel algorithms and …

Ex Vivo Microfluidic Model Identifies A Role For Shear Stress During Ovarian Tumor Cell Attachment To Peritoneal Mesothelial Cells, Vasilios A Morikis, Breanna Baker, Jillian A Martin, Angela Schab, Alessandra Dimauro, Gregory D Longmore, Whitney R Grither

2020-Current year OA Pubs

Ascites, or a pathologic accumulation of intra-abdominal fluid, is a key feature of intraperitoneally disseminating cancers, such as ovarian cancer. This pathological fluid buildup can influence the adhesive abilities of ovarian cancer cells, as they spread throughout the abdominal cavity to form metastatic implants on organs lined with a specialized monolayer of mesothelial cells. Robust methods for assessing the impact of fluid shear stress on this cell-cell interaction are lacking. Here, we develop and characterize a novel microfluidic device that allows for the determination of the attachment of ovarian tumor cells to mesothelial cells under the influence of fluid flow. …

Ex Vivo Microfluidic Model Identifies A Role For Shear Stress During Ovarian Tumor Cell Attachment To Peritoneal Mesothelial Cells, Vasilios A Morikis, Breanna Baker, Jillian A Martin, Angela Schab, Alessandra Dimauro, Gregory D Longmore, Whitney R Grither

2020-Current year OA Pubs

Ascites, or a pathologic accumulation of intra-abdominal fluid, is a key feature of intraperitoneally disseminating cancers, such as ovarian cancer. This pathological fluid buildup can influence the adhesive abilities of ovarian cancer cells, as they spread throughout the abdominal cavity to form metastatic implants on organs lined with a specialized monolayer of mesothelial cells. Robust methods for assessing the impact of fluid shear stress on this cell-cell interaction are lacking. Here, we develop and characterize a novel microfluidic device that allows for the determination of the attachment of ovarian tumor cells to mesothelial cells under the influence of fluid flow. …

Striation Characteristics In Atmospheric Pressure Ac-Driven Glow Discharge Operating In Monoatomic Gas, Ayuob K. Alwahaibi, Sang Hee Won, Tanvir Farouk

Faculty Publications

Striation in an atmospheric pressure AC-driven helium glow discharge operating at 25 kHz is experimentally characterized. Striation behavior is characterized by the visualization of discharges and voltage–current measurements over a range of plasma power. Voltage–current characteris tics reveal that striations form in the “normal” glow regime of operation, with a higher number of strata at low current, diminishing as dis charge current increases. The relative differences and similarities in the striation patterns during the positive and negative cycles are identified. High-speed imaging shows the striations to be traveling in time—“moving striations.” The spatial luminosity of the striations is tracked over …

High-Throughput Multi-Organ Proteomics Workflow For Drug Efficacy And Toxicity Analysis, Yun Xiong, Lin Tan, Wai-Kin Chan, Dandan Zhu, Huimin Zhang, Eric S Yin, Sri Ramya Donepudi, Jibin Ding, Bo Wei, Bao Tran, Sara Martinez, Iqbal Mahmud, Faiza Hanif Waghu, Hamish I Stewart, Daniel J Hermanson, Rehan Akbani, John N Weinstein, Junjie Chen, Philip L Lorenzi

Faculty, Staff and Student Publications

Rapid and comprehensive analysis of complex proteomes across large sample sets is vital for unlocking the potential of systems biology. We present a high-throughput mass spectrometry (MS) proteomics method that integrates narrow-window data-independent acquisition (nDIA) with short-gradient micro-flow chromatography, enabling profiling of >240 samples per day. This optimized MS approach identifies 6,201 and 7,466 human proteins with 1- and 2-min gradients, respectively. As a practical application, we analyzed 507 samples composed of 13 different tissues from mice treated with the enzyme-drug L-asparaginase (ASNase) or its glutaminase-free Q59L mutant, generating a quantitative profile of 11,472 proteins following drug treatment. The MS …

Equal Chances Or Fewer Victims? Moral Judgments In Autonomous Vehicle Dilemmas, Alexander Matros, Eren Bilen, Leonid Matros

Faculty Publications

We examine the moral dilemma of how autonomous vehicles (AVs) should be programmed to act in unavoidable crash scenarios involving trade-offs between saving one life and saving many. We report results from three experimental studies that investigate individuals’ preferences over alternative AV decision rules in stylized crash scenarios. Across designs, we find robust support for a probabilistic decision rule that assigns passengers and pedestrians equal ex ante chances of survival (a 50:50 rule). This preference persists across different framings and remains salient even when additional probabilistic options are introduced.

Brief Of Amicus Curiae Contract Law Scholar Gregory Klass In Support Of Plaintiffs-Appellees, Climate United Fund V. Citibank, N.A., No. 25-5122 (D.C. Cir. Feb. 9, 2026)., Gregory Klass

Georgetown Law Faculty Publications and Other Works

In early 2025, the EPA sought to freeze grant funds that had been distributed from the Greenhouse Gas Reduction fund and then sent recipients notices purporting to terminate awards. Recipients sued in District C out, claiming that the EPA’s actions failed to comply with the APA, the US Constitution, and other generally applicable laws. In response, the government argued that the plaintiffs’ claims were contractual in nature and so, under the Tucker Act, belonged in the Court of Federal Claims.

This amicus brief to the DC Court of Appeals sitting en banc addresses the government’s argument that reinstating the grants …

Diurnal Rhythm In Chimeric Antigen Receptor T Cell Effectiveness In An Observational Study Of 715 Patients, Patrick G. Lyons, Emily Gill, Prisha Kumar, Melissa Beasley, Brenna Park-Egan, Zulfiqar A. Lokhandwala, Katie M. Lebold, Brandon Hayes-Lattin, Catherine L. Hough, Nathan Singh, Guy Hazan, Huram Mok, Janice M. Huss, Colleen A. Mcevoy, Jeffrey A. Haspel

2020-Current year OA Pubs

BACKGROUNDChimeric antigen receptor (CAR) T cells are a leading immunotherapy for refractory B cell malignancies; however, their effect is limited by toxicity and incomplete efficacy. Daily (circadian) rhythms in immune function may offer a lever to boost therapeutic success; however, their clinical relevance to CAR T cell therapy remains unknown.METHODSWe retrospectively analyzed CAR T cell survival and complications based on infusion time at 2 geographically distinct hospitals: Washington University School of Medicine in St. Louis, Missouri, USA (n = 384) and Oregon Health & Science University in Portland, Oregon, USA (n = 331) between January 2018 and March 2025. The …

Computational Investigation Of Cavitation Inception In Centrifugal Pumps, Mohamed Ibrahim Eldesouky, Asmaa Khater, Abdel-Rahim Dohina, Mohamed Rabie

Mansoura Engineering Journal

This study examines the effects of suction chamber baffle configurations on both hydraulic efficiency and cavitation characteristics in a low specific speed centrifugal pump. Four baffle configurations (zero, one, two, and three baffles) were tested at three different heights using refined computational fluid dynamics simulations. The Zwart-Gerber-Belamri cavitation model was enhanced by adjusting nucleation site radius and evaporation coefficient values to better align with previous research findings. Results revealed that the optimal baffle height is approximately one-third of the impeller suction eye radius, significantly improving cavitation resistance. Under non-cavitation conditions, all baffled configurations outperformed the no-baffle setup, with a single …

Enhancing Foam Concrete Performance: The Role Of Magnetized Water On Workability, Strength, And Microstructure Properties, Amr Elkazzaz, Mohamed M. Yousry Elshikh, Walid E. Elemam

Mansoura Engineering Journal

Conventional foam concrete suffers from low strength and heterogeneous pore structure due to its porous structure and incomplete hydration, limiting its structural applications. This study investigates the use of magnetized water (MW) as a mixing medium to enhance hydration efficiency and improve both fresh and hardened properties of foam concrete. Three density grades 620, 1300, and 1900 kg/m³, designated as Groups A, B, and C were prepared and tested. Compressive strength measurements indicated that MW enhanced performance across all densities. In Group A, 28-day strength increased slightly from 2.4 MPa with tap water (TW) to 2.8 MPa with MW. For …

Life-Cycle-Oriented Selection Framework For Solar Shading Devices In Hot–Arid Building Façades: From Traditional Precedents To Pv-Integrated Systems, Sameh Ahmed Qadry

Mansoura Engineering Journal

Abstract

This study proposes a life-cycle–oriented, computationally light framework for selecting solar shading devices in hot–arid building façades. While previous research has extensively analysed shading performance using detailed simulations, most studies focus on single systems or materials, rarely comparing traditional, modern, and PVintegrated solutions within a unified life-cycle and operation–maintenance perspective. The research addresses this gap by integrating three shading families—traditional local precedents (e.g. mashrabiya, rawshan), modern fixed and dynamic systems, and hybrid PV-integrated façades—into a comparative decision-support framework tailored to hot–arid climates. Methodologically, the study combines: (1) a structured descriptive–analytical literature review with analytical coding of key attributes (design …

La Inteligencia Artificial Como Herramienta De La Investigación Artística Transdisciplinaria: Hacia Una Pedagogía Ovrónica, Pablo Alejandro Cabral, Rubén Cantos Leal, Pamela Soledad Jiménez Draguícevic

Artículos científicos

La incorporación de inteligencias artificiales generativas representa una transformación paradigmática en la metodología de investigación en las artes para la educación superior. Este ensayo examina críticamente cómo los modelos de lenguaje de gran tamaño (LLM) pueden integrarse en el proceso pedagógico investigativo como socios estratégicos, más que como simples herramientas de consulta. A partir de una experiencia didáctica implementada en la materia de Metodología de la Investigación con estudiantes de la Licenciatura en Actuación de la Facultad de Artes de la Universidad Autónoma de Querétaro, se propone una metodología estructurada en tres fases: exploración temática y contextual, análisis conceptual e …

Discovery And Characterization Of A Novel Pseudomonas Phage Of A New Genus, Paul Nicholls, Justin R Clark, Anthony Maresso

Faculty, Staff and Students Publications

Background: Bacteriophages exhibit great diversity and are classically divided into lytic and temperate lifestyles. Commonly, bioinformatics is used to predict the temperate lifestyle. As the nosocomial pathogen Pseudomonas aeruginosa is common in freshwater, this biome represents an ideal location for the discovery of Pseudomonas phages.

Materials and methods: We characterized a genetically distinct species of Pseudomonas phage using next-generation sequencing and conventional microbiological methods. We characterized its lifestyle by purifying infected colonies and identifying persistent phage production.

Results: Genetics revealed a phage of a novel genus. Characterization showed a narrow host range and bioinformatics suggested a lytic lifestyle. Experimental data …

Implementation Of Soil Improvement Techniques In The Dhaka Mass Rapid Transit Project A Comprehensive Case Study, Shoma Hore, Mosharof Al Alim, Maliha Farjana, Monir Hossain, Ripon Hore

Civil and Environmental Engineering Faculty Publications and Presentations

This paper evaluates Sand Compaction Pile (SCP) and Dynamic Compaction (DC) methods for enhancing soft soil in the Dhaka Mass Rapid Transit (MRT) project. Targeted interventions were required for the stratified soil profile, consisting of liquefiable sand (3–5 m thick) over soft clay (SPT ∼5): dynamic compaction for densifying the sand layer and soil-cement piles for stabilizing the underlying clay. Post-treatment Standard Penetration Test (SPT) values indicated that DC significantly improved the sand layer (SPT rose to 15–25) while SCP effectively strengthened the clay (SPT increased to 8–12). The Tongi-to-Uttara section (CP01) simultaneously addressed liquefaction concerns and settlement issues through …

The Significance Of Risk Mitigation Strategies On Project Success In The Construction Industry, Arielle Summer Weinzweig Aweinzweig

Harrisburg University Dissertations and Theses

The construction industry is persistently challenged by risks such as cost overruns, schedule delays, and quality failures, often arising from ineffective or reactive mitigation strategies. To bridge the gap between theoretical frameworks and real-world applications, this study investigates the impact of risk mitigation techniques on project success in the construction industry. The study employs a qualitative method approach, with qualitative interviews to examine management insights and adoption barriers. Founded on risk management theory, this study aims to analyze existing mitigation techniques, identify key risk factors, and develop an evidence-based framework to enhance risk assessment and strategy implementation. It is projected …

Empowering Research Topic Development With Generative Ai Prompts - A Pilot Study For First-Year Writing Students, Yanling Liu, Yan He

Georgia International Conference on Information Literacy

As generative AI tools like ChatGPT become increasingly embedded in academic and everyday contexts, educators have a timely opportunity to leverage these technologies to support foundational research skills. In general education writing courses, students participate in library sessions with librarians to support their research projects. A central challenge is formulating a focused and relevant research topic, as many struggle to identify and develop ideas and refine them into viable research topics that are suitable for college-level writing and align with assignment requirements. This study explores how generative AI tools - specifically ChatGPT - can be integrated into library instruction to …

A Bibliometric Analysis Of The Most Influential And Impactful Plastic Surgery Publications From Saudi Arabia, Hatan Mortada, Abdulaziz Alnufaei, Amal Tuaki Aljuaid, Zainab Ahmed Al Hubail, Waad Nawaf Alanazi, Abdulaziz Suleiman Jasaniah, Sarah Abdullah Ramzi, Amr Youssef Arkoubi

Saudi Medical Journal

Objective: To analyze the most cited plastic surgery articles from Saudi Arabia, focusing on publication trends, leading contributors, collaboration patterns, and thematic areas.

Methods: We conducted a bibliometric analysis using the Web of Science Core Collection (1990–2025). Keywords covering plastic surgery subfields were combined with geographic identifiers (“Saudi Arabia,” “KSA,” “Kingdom of Saudi Arabia”) using Boolean operators. Only English-language original and review articles were included. Citation metrics, authorship networks, and keyword co-occurrence were analyzed with VOSviewer and the bibliometrix R package.

Results: We identified 1,013 Saudi-affiliated plastic surgery publications, receiving 7,929 citations. The top 100 most-cited articles averaged 39.3 citations …

Bridging The Evidence Gap: A Retrospective Lens On Survival And Treatment Patterns In Older Patients With Colorectal Cancer, Emad M. Tashkandi

Saudi Medical Journal

Objectives: To advise evidence-based strategies and healthcare policies to optimize the management of older adults with colorectal cancer (CRC) in the region. Older adults are disproportionately affected by CRC but are underrepresented in clinical trials. Hence, real-world data are crucial in guiding treatment in this population.

Methods: We conducted a retrospective cohort study involving patients aged ≥65 years diagnosed with CRC between 2015 and 2021 at King Abdullah Medical City, Makkah, Saudi Arabia. Clinical data, treatment patterns, and survival outcomes were analyzed.

Results: Among 256 patients (mean age 74.7; 61.7% male), 75% had an Eastern Cooperative Oncology Group performance status …