Digital Commons Network^™

The Affluent Society, John Kenneth Galbraith

Hannah Arendt Marginalia - All

Boston, Houghton Mifflin, 1958

Call #: HB171 .G14

Arendt copy contains marginal lining and contained ephemera

PDF Information: 6 pages – 261KB

The Greek Historians: The Essence Of Herodotus, Thucydides, Xenophon [And] Polybius, M. I. Finley

Hannah Arendt Marginalia - All

New York: Viking Press, 1959

Call #: DF12 .F5

Contains marginalia, underlining and marginal lining.

PDF Information: 36 pages – 19mb

From Clones To Robots: Kazuo Ishiguro’S Non-Human Narrative And Itsethical Implications, Minrui Li

Kritika Kultura

feminist consciousness-raising, and taking liberty with genre and medium fluidity, this article

Encountering The Non-Human With Narrative Form:J.M. Coetzee’S The Lives Of Animals, Yafei Li

Kritika Kultura

criminalization, harassment, and oppression of women who fail to bear male offspring within

Nonhuman Narratives In World Literature: An Introduction, Biwu Shang, Maria Luisa Torres Reyes

Kritika Kultura

determination in considerable parts (both urban and rural) of India a wide berth. The eventual

Advancing Interactive Web Cartography Through Designing And Developing An Open-Source, Data-Driven Framework For Accessible Geovisualization Of Geospatial (Big) Data, Sarigai Sarigai

Geography ETDs

The growth of geospatial big data has intensified the demand for open-source, accessible tools for interactive spatial exploration. This dissertation introduces a modular web mapping framework and details its design, extension, and evaluation to advance geovisualization through user-centered, transferable design. The first study presents the original framework, named dciWebMapper, establishing foundational cartographic and information visualization principles, with a focus on modularity and extensibility. The second study extends dciWebMapper with advanced capabilities—such as diverse map types, bivariate visualizations, temporal filtering, spatial querying, and hotspot analysis—and demonstrates its broad transferability across domains. The third study offers a structured usability evaluation of …

Discovering And Designing Novel Perovskite Photovoltaic Materials Via Machine Learning, Junyeong Ahn

Discovery Undergraduate Interdisciplinary Research Internship

Perovskite semiconductors are promising materials for high-efficiency photovoltaics due to their outstanding optoelectronic properties, emerging as a sustainable energy source through solar cell applications. Perovskites with the ABX₃ composition (A, B = metal or organic cations with varying oxidation states; X = chalcogen or halogen anions) have gained interest for their excellent phase stability and compositional tunability. However, combinatorial possibilities arising from the many choices of A, B, and X site species, and their respective mixing fractions, a large number of possible ABX₃ perovskites remain undiscovered. In this work, we used machine learning (ML) methods to design new stable and …

Exploring Open Pedagogy Principles: A Qualitative Study Of Undergraduate Experiences, Staci Gilpin, Stephanie Rollag Yoon, Virginia Clinton-Lisell

Education, Health & Behavior Studies Faculty Publications

Open pedagogy, characterisedby students creating or co-creating artefacts that others may use, offers transformative opportunities for students to move beyond passive learning into active content creation. This qualitative study examines the experiences of 25 undergraduate students who engage with open pedagogy principles, including creation-centred learning, collaboration, audience engagement, and the integration of Open Educational Resources (OER) and Creative Commons (CC) licensing. Using surveys and interviews, we identified three key themes: the importance of real audiences, authentic connections over prescribed collaborations, and rethinking the role of Creative Commons. Findings suggest that open pedagogy enhances student engagement and provides meaningful, real-world applications …

Non-Spectator Behavior Of A Neutral Phosphine Ligand Driven By A Redox-Active Boron Cluster, Jared R. Riffle, Cash L. Jowers, Sarah Luna, Mark D. Smith, Dmitry V. Peryshkov

Faculty Publications

A new concept of ligand ambiphilicity that relies on the redox behavior of the indirectly coordinated boron cluster scaffold instead of the direct involvement of a single center in a ligand is introduced. A copper(I) complex of a carboranyl-based triphosphine, [t^BuP-closo-{C₂B₁₀}-^PhP-closo-{C₂B₁₀}-t^BuP]CuPF₆, in acetonitrile solution coordinates an exogenous X− anion (X− = Cl− or N3−) at the phosphorus center of the ligand and not at the cationic metal site to form [t^BuP(X)-nido-{C₂B …

Promise In Practice: Building Belonging And Persistence Through Academic Advising, Mary E. Lawrence

Masters Projects

Promise scholarships were created to remove financial barriers to higher education, but financial support is not enough to help students succeed. This project focuses on developing an academic advising office at Grand Rapids Community College (GRCC) to support students receiving the Grand Rapids Promise Zone (GRPZ) Scholarship. Using Yosso’s Community Cultural Wealth Model and Sanford’s Theory of Challenge and Support as a foundation, the project outlines a culturally responsive and student-centered advising framework. The goal is to improve student retention and persistence, increase academic advising, and build meaningful relationships between students and advisors. Project components include an advising handbook, a …

Learning From Conditional Data Distributions, Jizhou Huang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Traditional machine learning paradigms often rely on a single global model trained on an entire dataset, aiming for broad generalization across all instances. However, in many real-world applications, the underlying data distribution is heterogeneous, and meaningful predictions often require models that focus on specific subpopulations rather than treating the data as a whole. This motivates the study of learning from conditional distributions, a framework where predictive models are designed to capture the structure and properties of restricted subsets of the data, leading to improved accuracy, fairness, and interpretability. This dissertation explores three key subproblems that exemplify different aspects of learning …

The Constellation Of American Voters: Understanding Americans Who Live In And Out Of American Municipalities, Jordan Duffin Wong

Arts & Sciences Graduate Student Theses and Dissertations

More than 130 million Americans live in unincorporated areas, or the spaces outside the boundaries of cities, towns, and villages. Despite this, relatively little attention has been paid to whether, how, and why residents of unincorporated areas differ from their municipality-dwelling counterparts. In this dissertation, I explore the answers to these questions by establishing a new theoretical framework that rigorously defines, bounds, and partitions unincorporated space. Drawing on the near-universe of American voters, I illustrate, with unparalleled precision, where and how Americans have sorted into and out of municipalities, and show that different mechanisms drive these phenomena. Furthermore, I explore …

Investigation Into Intraocular Pressure Distribution Via Computer Aided Engineering (Cae), Madison Maureen Hinman

Masters Theses

The leading cause for irreversible blindness and vision loss is glaucoma - an eye condition associated with elevated intraocular pressure (IOP). Increased IOP is also seen during other pathological conditions like spaceflight-associated neuro-ocular syndrome (SANS), and non-pathological conditions as when playing a wind instrument. The study aimed to describe the influence of different vitreous cavity size as well as vitreous fluid viscosity on the IOP as measured at the back of the eye on the retina. Improved understanding of eye pressure transmission can aid in a better understanding of eye diseases. The experiment conducted included cavities of varying size and …

Measuring The Impact On Landscape And Sediment Transport Of Climate And Anthropogenic Influence In The Mississippi River Since 2000 Bce, Bailey Wycoff

LSU Master's Theses

Understanding river dynamics is crucial to being able to interpret the geological history preserved in sediment deposited on continental margins, deltas, and alluvial plains. Sediment buffering can be a key control on the sediment flux to the ocean and involves sediment storage and recycling in flood plains. The efficiency of the transport varies depending on climatic and more recently anthropogenic influences. Sediment moving through meandering streams may be temporarily deposited in a point bar on the convex side of a meandering river. Meanders are sometimes cut off, creating an oxbow lake and filled in. The area of study, False River, …

An Analysis Of Vertical Deformation On Cianjur Earthquake 2022, Candra Perkasa Nurlukman, Adi Wibowo

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

A shallow crustal-type earthquake on a surface fault occurred on November 21, 2022, in Cianjur, West Java. This destructive earthquake resulted in a loss of life, many houses were damaged, and landslides at several points. So, the research was analyzed using the DInSAR method to see the deformation and its relationship with the existing conditions in the field. We get the result of a vertical subsidence in the earthquake area of up to 101 millimeters. Through the distribution of displacement results, we found no overlapping faults at that location, identifying the formation of a new fault. In the distribution area …

Protective Multi-Stressor Interactions In The Anthropocene: Key Considerations For Investigating Cross-Tolerance In A Conservation Context, Essie M Rodgers, Simone Baldanzi, Michael Collins, W Wesley Dowd, Lauric Feugere, Giovanna Mottola, Fanny Vermandele, Daniel F Gomez Isaza

School of Biological and Marine Sciences

In the Anthropocene, species are increasingly faced with multiple stressors that are more severe and less predictable than before. While multiple stressors often interact to affect organisms negatively, sometimes these interactions can be beneficial, enhancing resilience through cross-protection. Cross-protection interactions occur when exposure to one stressor, such as elevated temperature, enhances an organism’s tolerance to a different stressor, like hypoxia, through shared protective mechanisms or signaling pathways. Understanding the potential for cross-protection to combat rapid and diverse environmental change is crucial for conservation, as it potentially alters the predicted consequences of such change. Here, we outline 10 key considerations for …

Gene Regulatory Network Prediction Using Machine Learning, Deep Learning, And Hybrid Approaches, Sai Teja Mummadi, Md Khairul Islam, Victor Busov, Hairong Wei

Michigan Tech Publications

Construction of gene regulatory networks (GRNs) is essential for elucidating the regulatory mechanisms underlying metabolic pathways, biological processes, and complex traits. In this study, we developed and evaluated machine learning, deep learning, and hybrid approaches for constructing GRNs by integrating prior knowledge and large-scale transcriptomic data from Arabidopsis thaliana, poplar, and maize. Among these, hybrid models that combined convolutional neural networks and machine learning consistently outperformed traditional machine learning and statistical methods, achieving over 95% accuracy on the holdout test datasets. These models not only identified a greater number of known transcription factors regulating the lignin biosynthesis pathway but also …

Effects Of Long-Term Exposure On Composite Manufactured Marine Propellor Blades In Pure Distilled Water And Artificial Seawater, Jacob Brady

The Plymouth Student Scientist

The aim of this research was to establish the feasibility and investigate the mechanical challenges of the use of composite materials for a marine propellor. Focusing on the major challenge of hygroscopic swelling and the effect this has on material dimensions and properties. Flax-epoxy and carbon-epoxy samples were manufactured and tested in distilled water and artificial seawater to establish the effects of hygroscopic ageing over long-term exposure. Accelerated ageing at 60°C was used to minimise experimental duration whilst observing long-term effects. The research also identified proposed values for the co-efficient of hygroscopic expansion in three planes of 2x2 twill weave …

Adaptive Crop Switching For Irrigated Agriculture In Response To Climate Change In The Western U.S., Shahryar Fazli, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Aqil Tariq, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Adaptive irrigation strategies are crucial for balancing water use, economic viability, and food security in the arid Western United States. However, as a key indicator vital in regulating agricultural productivity and crop irrigation, water use efficiency (WUEc) is becoming increasingly complex to estimate due to climate change. This study explores the critical role of key meteorological drivers, such as maximum temperature (tmax) and vapor pressure deficit (vpd), and their impacts on crop-specific WUEc. Future impacts are also assessed through integrating machine learning models with climate projections from the CMIP6 framework under SSP2–4.5 and SSP5–8.5 scenarios to forecast WUEc trends from …

Dynamic Analysis And Fatigue Life Evaluation Of Single Herringbone Planetary Gear System With Crack Fault, Dongping Sheng, Jie Yang, Chun Su

Journal of Mechanical Engineering Science and Technology (JMEST)

The herringbone planetary gear transmission is widely used due to its exquisite compact structure, excellent load-bearing capacity, and stable transmission characteristics. However, root crack is one of the most common failure modes of gears. A cracked herringbone planetary gear system is taken as research object. The sun gear with crack fault is studied from the aspect of modal and transient dynamic analysis, and the related results are compared with the healthy gear. Based on the transient dynamic analysis of the herringbone teeth with cracks, a fatigue life evaluation is conducted. Firstly, the results show that no significant difference between the …

Finite Element Analysis Of The Construction Strength Of Semi-Submarine Glass-Bottom Catamaran, Berliana Ayarent Puteri, Aldias Bahatmaka, Widya Aryadi, Musdika Bagas Satria Putrananda, Christian Imanuel Hutagalung

Journal of Mechanical Engineering Science and Technology (JMEST)

Indonesia's extraordinary marine tourism potential requires innovation in how to enjoy it. This study discusses the innovative design of a semi-submarine glass-bottom ship for the development of marine tourism in Indonesia, which allows tourists to enjoy the beauty of the underwater world safely and comfortably. This catamaran is designed with two hulls that provide high stability and optimal deck area for tourism needs. The study focuses on analyzing the ship's frame structure using the finite element analysis method, especially on using sandwich panels that combine wood and carbon fiber materials to achieve the optimal combination of structural strength, weight, and …

Harnessing The Role Of Carbon Black: A New Frontier For Energy-Density Supercapacitor Electrodes, Ana Yuli Komariyah, Ishmah Luthfiyah, Ida Vaeruza Albadi’Ah, Nasikhudin Nasikhudin, Worawat Meevasana, Markus Diantoro

Journal of Mechanical Engineering Science and Technology (JMEST)

The performance of activated carbon (AC)-based supercapacitor electrodes is often limited by poor electrical conductivity, prompting interest in conductive additives such as carbon black (CB). This study explores the transformative potential of CB as a conductive additive in AC-based supercapacitor electrodes and systematically investigates CB mass loadings of 0%, 5%, 10%, 15%, and 20%, using styrene-butadiene rubber (SBR) as the binder. The findings in this study demonstrate that 10% CB is the optimal loading, offering a balanced performance in terms of structure, morphology, and capacitance. X-ray diffraction (XRD) analysis reveals a distinct structural evolution at 10% CB, characterized by the …

Analysis Of The Impact And Adaptation Of Tidal Floods From Coastal Landscape Area Communities In Poasia District, Kendari City, Indonesia, La Ode Hadini, La Aba, Noor Husna Khairisa, Nikita Jasmine Almira

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Poasia District is located in the coastal area of the southern part of Kendari City, which is highly susceptible to tidal flooding. However, the extent of the community's exposure to these events and their subsequent adaptation measures remain to be fully delineated. This study examines the impacts of tidal flooding and the adaptation patterns of the Poasia Coastal Community to the tidal flood disaster. This research employed a descriptive qualitative method, which was carried out through document review, interviews involving 34 respondents, and field observations. The results of this study indicate that tidal flooding exerts a negative impact on the …

Toxicological And Environmental Assessment Of Trace And Heavy Metals In Harnoi Coal Deposits, Abbottabad, Khyber Pakhtunkhwa, Pakistan, Muhammad Sajid, Shaukat Khan, Muhammad Kashif, Khan Amir Khan, Muhammad Junaid

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Mining and burning of coal release various toxic substances that can contaminate both surface and groundwater, thereby posing significant risks to human health, especially for households located near mines, coal deposits, or coal-fired power stations. This research examines the environmental effects of coal mining in the Harnoi Region of Abbottabad, Khyber Pakhtunkhwa, Pakistan. Four mining sites were randomly selected within the study area, and eight coal samples were collected and analyzed using atomic absorption spectrophotometry to determine the concentrations of trace and heavy metals. The findings indicate that Harnoi coal contains elevated concentrations of arsenic, zinc, lead, cadmium, nickel, cobalt, …

Early Childhood Education – A Unique And Quasi-Hidden Curriculum, Verity Campbell-Barr

School of Law, Humanities and Social Sciences

This paper considers the complexities and debates surrounding the concept of curriculum in Early Childhood Education (ECE). The paper highlights the tension between traditional, structured curriculum models found in schooling and the more flexible, child-centred and play-based approaches advocated in ECE. Starting from the premise that curriculum theory in ECE is underdeveloped, the discussion draws on Bernstein’s Pedagogic Device to provide a theoretical framework with which to analyse how knowledge is produced and recontextualised in ECE in both the official (state) and pedagogic field. Central to the recontextualisation are theories of child development and how they provide an underlying course …

Investigation Of The Influence Of Warhead Shape And Type Of Missile Weapon Material Counter-Training Tank Weapons Simulation Approach, Transisma Budiarta, Haris Puspito Buwono, Radhi Nurvian Amrullah

Journal of Mechanical Engineering Science and Technology (JMEST)

This study analyzes the effect of warhead shape and material variations on pressure, temperature, and lift on training missiles using CAD-based simulation methods. The variations of warhead shapes tested include flat, flat radius, and tapered, while the materials used are rubber, ABS, and PE. The simulation results show that the tapered warhead shape with PE material produces the lowest pressure (50.3 MPa) due to more efficient pressure release and low friction properties. Conversely, the Flat shape produces the highest pressure (69.1 MPa) on all materials due to flow stagnation. In terms of temperature, the Flat Radius warhead with PE and …

Influence Of Different Nanoparticles On Thermophysical Properties And Wear Resistance Of Corn Oil-Based Cutting Fluid In Mql-Cnc Milling Machining, M Nuril Anwar Habiby, Poppy Puspitasari, Aminnudin Aminnudin, Diki Dwi Pramono, Ahmad Atif Fikri, Mariyam Jameelah Ghazali

Journal of Mechanical Engineering Science and Technology (JMEST)

Vegetable oil-based cutting fluids have emerged as a promising innovation in machining operations, supporting the advancement of sustainable and eco-friendly manufacturing practices. This study delves into the development of a biolubricant derived from corn oil, enriched with 0.15% mass fractions of various nanoparticles, including calcium carbonate (CaCO3), copper oxide (CuO), and multi-walled carbon nanotubes (MWCNT). These nano-cutting fluids were applied through the Minimum Quantity Lubrication (MQL) method during CNC milling of AISI 1045 steel. The investigation focused on evaluating thermophysical properties, including density, thermal conductivity, and dynamic viscosity, as well as tool wear performance. The results demonstrated that CuO nanoparticles …

Effect Of Various Canopy Shapes On The Drag Coefficient Of Pickup Trucks, Khairil Anwar, Muhammad Syaiful Fadly, Muhammad Wahyu Hermanto

Journal of Mechanical Engineering Science and Technology (JMEST)

The aerodynamic performance of light commercial vehicles, such as the Suzuki Carry, plays a crucial role in their fuel economy and road stability. One typical add-on, a canopy, often changes that airflow and, as a result, alters the drag acting on the vehicle. In this study, three different canopy shapes, flat, curved, and triangular, were examined to understand how each one affects the drag coefficient (Cd). To investigate this, both wind tunnel trials and CFD runs were conducted to track the airflow and measure any changes in drag with greater detail. For reference, the exact vehicle without a canopy was …

Simulation Of Magnet Thickness And Angle Of Attack On Magnetic Force For Magnetic Turbine Design, Eka Pratama, Wirawan Wirawan

Journal of Mechanical Engineering Science and Technology (JMEST)

Electric motors play a vital role across various industries. As their electricity demand grows, improving efficiency has become a priority. One area of innovation involves the use of magnetic strips for improving performance. This study aims to determine the magnet thickness and the angle of attack position in producing the strongest repulsive force in the magnetic turbine. The study used a simulation using SOLIDWORKS and EMS software, applying neodymium N52 magnets with varying sizes and angles of attack. The results indicate that the most efficient magnetic turbine configuration utilizes rotor and stator magnets with dimensions of Ø10 × 20 mm …

Beyond Memorization: Developing Three-Dimensional Assessments For Earth Science Through The Carbon Cycle Unit, Stephanie Kay

Masters Projects

This Master's project addresses the critical need for improved assessment strategies in science education, particularly within the context of the Next Generation Science Standards (NGSS). Traditional summative assessments, often relying on multiple-choice or fill-in-the-blank questions, frequently fail to evaluate students' higher-level thinking and comprehensive understanding as required by the NGSS's three-dimensional learning framework (science and engineering practices, crosscutting concepts, and disciplinary core ideas). This disconnect can hinder accurate student knowledge evaluation and limit the development of essential 21st-century skills like critical thinking, problem-solving, and collaboration. The project aims to enhance effective assessment by developing a high school Earth Science unit …