Digital Commons Network^™

Monitoring And Assessment Of Population, Reproductive, And Health Effects In Colonial Waterbirds Breeding At Contaminated Great Lakes Sites In Michigan, Keith A. Grasman, Mandy Annis, Carly Eakin, Jeremy Moore, Lisa L. Williams

University Faculty Publications and Creative Works

Immunological, reproductive, and population endpoints were assessed in fish-eating birds during 2010–2019 in the Saginaw River and Bay and River Raisin Areas of Concern (AOCs) and Grand Traverse Bay, which are ecosystems historically contaminated with polychlorinated biphenyls, dibenzo-p-dioxins, and dibenzofurans. Reference sites were in the lower St. Marys River (herring gulls and Caspian terns), eastern Lake Superior (terns), and eastern Lake Huron (black-crowned night herons). Relative risk ratios for embryonic nonviability (from both infertility and mortality) in gull embryos were 2–3-fold higher than the reference site in both AOCs and Grand Traverse Bay. Twelve of 13 deformed embryos and chicks …

Geometric Morphological Analysis Of The Edfu Temple, Yara M. Soliman, Ashraf H. Ibrahim, Ahmed M. Awad

Journal of Art, Design and Music

The paper discusses the influence of nature on the design principles utilized by ancient Egyptian civilization, emphasizing how philosophers and artists learned from natural forms. It introduces the concept of Morphology, which examines the structures and forms of living and inanimate objects, categorized into eight types: Geometric, Chaotic, Plant, Animal, Human, Motor, Ecological, and Symbolic. The research focuses on applying the Geometric Morphological system to Edfu Temple, highlighting the need for contemporary designers to consider both form and content, rather than merely aesthetic shapes. The study aims to create an analytical framework using geometric determinants—unity, balance, scale, rhythm, proportion, abstraction, …

Met 103-104: Engineering Graphics And Intro. To Cad, Mark Lanfrank

School of Applied Engineering and Technology Syllabi

No abstract provided.

Elastomeric Nanocomposite With Solvent-Free, One Step, In Situ Shear Exfoliation Of Graphite To Graphene, Ashiqur Rahman, Md Abdur Rahman Bin Abdus Salam, Matthew G. Boebinger, Ahmed Touhami, Jennifer Lynch, Ali Ashraf

Physics & Astronomy Faculty Publications

A graphene nanoflake (GNF)-enhanced elastomeric nanocomposite (G-EMC) is fabricated following an innovative, cost-effective, single-step, in situ shear exfoliation (ISE) method from low-cost bulk material, graphite, where uniform mixing happens simultaneously within the elastomer matrix. Electron microscopy, atomic force microscopy, and photo-induced force microscopy results show good dispersion of GNFs with exfoliation to a few layers and uniform distribution in the elastomer matrix. X-ray photoelectron spectroscopy analysis shows less than 1% oxygen-containing functional groups/impurity, enhanced bonding through the formation of edge sites as fracture occurs across the GNF basal plane, and pi-pi interactions with newly exfoliated planar basal plane surfaces of …

The Laughing Buddha: The Education Of Compassionate Leaders Through Improvisational Play, Belinda Chiu

Journal of Contemplative and Holistic Education

With an urgency to build a generative future, educational systems do not have a choice but to pay attention to how and what we train our future leaders. Yet there is still a gap as leadership studies are often relegated as a “soft” skill, rather than integrated as technical knowledge critical to the holistic effectiveness of a tertiary education. As a result, there is often a disconnect between students immersed in the idealistic bubble of the academy and graduates navigating life outside. Inquiry- and reflective-based methods of contemplative practices may be critical for leaders to avoid short-term, short-sighted decisions that …

Ur-213 Generative Ai & Cybersecurity, Seth G Canada, Shreya Katare

C-Day Computing Showcase

This research project details the impact of Generative AI on Cybersecurity through both its potential enhancements and threats. Using advanced AI algorithms, this project explores how Generative AI can strengthen cybersecurity through systems like Anomaly Detection, Intrusion Detection Systems (IDS), and Malware Analysis. Also, this project addresses the growing challenges posed from Generative AI. In particular, issues surrounding Deepfake Phishing and Polymorphic Malware are discussed. Solutions to mitigate these issues are also provided to engage further understanding in the field. The goal of this research is to offer practical solutions for addressing the growing field of AI-driven cybersecurity.

An Attempt To Determine The Strong Tremors Causes During Longwall Mining Of Destressed Bottom Layer Of A Thick Coal Seam, Rafał Pakosz, Łukasz Wojtecki, Maciej J. Mendecki, Agnieszka Krzyżanowska

Journal of Sustainable Mining

The sequence and method of coal seam mining can significantly minimize the risk of rock bursts. The planning of exploitation in the Bielszowice part of the Ruda Hard Coal Mine involves maximizing the destress effect associated with the mining of adjacent coal seams or layers of thick coal seams. Longwall mining of destressed coal seams is characterized by much lower seismic activity; however, even during such mining, high-energy tremors may occur. This article analyzes the seismic activity accompanying the mining of longwall panels in the bottom and top layers of thick seam No. 510 and seam No. 507 in the …

Met 103-102: Engineering Graphics And Intro. To Cad, Mark Lanfrank

School of Applied Engineering and Technology Syllabi

No abstract provided.

Tsao, H.-S. Jacob, San Jose State University

Emeritus and Retired Faculty Biographies

University of California, Berkeley, Operations Research, Ph.D. 1984

University of Texas at Dallas, Mathematical Statistics, MS, 1979

National Chiao-Tung University, Taiwan, Applied Mathematics, BS, 1976

A Continuum Mechanical Model Of The Brain During Closed Head Injury, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Exactly how traumatic axonal injury happens as a result of brief, intense acceleration of the head remains a mystery. The same can be said about traumatic microbleeds observed in MRI scans of people suffering concussions. This paper explores the mechanism of injury in terms of continuum biomechanics. A full-sized viscoelastic model of the human brain is developed that is subjected to impact with the rigid skull after crossing the subarachnoid space in response to brief, intense whole head acceleration, as might occur in falls or in contact sports. The brain is considered a compressible viscoelastic body of approximately uniform density, …

A Second Candidate Magnetic Helium Core White Dwarf And 3 Other Variable White Dwarfs In The Globular Cluster Ngc 6397, Manuel Pichardo Marcano, Liliana E. Rivera Sandoval, Thomas J. Maccarone, Rene D. Rohrmann, Leandro G. Althaus, Craig O. Heinke, Diogo Belloni, Arash Bahramian

Physics & Astronomy Faculty Publications

Using archival Hubble Space Telescope observations, we report the discovery of four variable low-mass white dwarfs (WDs; 0.18 M⊙ ≤ M ≤ 0.5 M⊙) in the globular cluster NGC 6397. One source exhibits a periodic optical modulation of 5.21 ± 0.02 hr, which we interpret as potentially due to the rotation of a magnetic helium core WD (He WD). This makes this candidate the second magnetic He WD in NGC 6397, and one of the few He WDs with a measured rotation period. The other three candidates show aperiodic variability, with a change in magnitude ranging from ∼0.11 …

Collision-Free Exploration By Mobile Agents Using Pebbles, Sajal K. Das, Amit Kumar Dhar, Barun Gorain, Madhuri Mahawar

Computer Science Faculty Research & Creative Works

In this paper, we study collision-free graph exploration in an anonymous network. The network is modeled as a graph G = (V, E) where the nodes of the graph are unlabeled, and each edge incident to a node v has a unique label, called the port number, in {0, 1, ⋯, d - 1}, where d is the degree of the node v. Two identical mobile agents, starting from different nodes in G have to explore the nodes of G in such a way that for every node v in G, at least one mobile agent visits v and no …

Smevca: Stable Matching-Based Ev Charging Assignment In Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Anusha Vangala, Sajal K. Das

Computer Science Faculty Research & Creative Works

The rapid shift from internal combustion engine vehicles to battery-powered electric vehicles (EVs) presents considerable challenges, such as limited charging points (CPs), unpredictable wait times for charging, and difficulty in selecting appropriate CPs for EVs. To address these challenges, we propose a novel end-to-end framework, called Stable Matching based EV Charging Assignment (SMEVCA) that efficiently assigns charge-seeking EVs to CPs with the assistance of roadside units (RSUs). The proposed framework operates within a subscription-based model, ensuring that the subscribed EVs complete their charging within a predefined time limit enforced by a service level agreement (SLA). The framework SMEVCA employs a …

Adaptive Workload Management For Enhanced Function Performance In Serverless Computing, Priyanka Ashok Birajdar, V. Harsha, Anurag Satpathy, Sourav Kanti Addya

Computer Science Faculty Research & Creative Works

Serverless computing streamlines application deployment by removing the need for infrastructure management, but fluctuating workloads make resource allocation challenging. To solve this, we propose an adaptive workload manager that intelligently balances workloads, optimizes resource use, and adapts to changes with auto-scaling, ensuring efficient and reliable serverless performance. Preliminary experiments demonstrate an ≈ 0.6X% and 2X% improvement in execution time and resource utilization compared to the First-Come-First Serve (FCFS) scheduling algorithm.

The Need For Antiracist Education Amid Trends Toward Totalitarianism And A Constitutional Crisis, Julnasha Morehead

DePaul Journal for Social Justice

No abstract provided.

The Case For Prison Education Reform, Natasha Yousefi

DePaul Journal for Social Justice

No abstract provided.

Scale Choices, Modal Harmony, And The Interpretation Of Slash Chord Notation For “Naima” By John Coltrane, Josiah Boornazian

The IASJ Journal of Applied Jazz Research

This analysis of Naima is intended to provide useful conceptual tools for those who are interested in analyzing the harmonic language of modal jazz. The goals: to demonstrate the value of thinking about jazz harmony using slash chords, to suggest specific scale choice options to fit each chord in “Naima,” and to offer an explanation of how jazz composers can use modal harmony to create a sense of harmonic tension, release, and motion. Such an approach can provide a useful framework which will open new vistas of harmonic and melodic vocabulary for jazz composers, performers, and educators.

Enhancing Multi-Robot Slam: Centralized Lidar-Based Loop Closure Detection Approach, Basma Ahmed Jalil, Ibraheem Kasim Ibraheem

Iraqi Journal for Computer Science and Mathematics

The loop closure detection is crucial for global mapping and route correction in multi-robot simultaneous localization and mapping (SLAM). However, including loop closure detection algorithms in MR-SLAM increases the computational complexity and the required resources on the robot board and at the base station. In this paper, An Enhanced Multi-Robot Fast Localization Odometry and Mapping (EMR-FLOAM) to deal with computation complexity issue. The EMR-FLOAM algorithm addresses computational complexity and resource requirements by utilizing a two-stage non-iterative distortion compensation technique, resulting in optimized code and accelerated localization and map construction processes. The simulation of the proposed work has been tested on …

Vessel Trajectory Data Mining: A Review, Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis

Center for Coastal and Ocean Mapping

Recent advancements in sensor and tracking technologies have facilitated the real-time tracking of marine vessels as they traverse the oceans. As a result, there is an increasing demand to analyze these datasets to derive insights into vessel movement patterns and to investigate activities occurring within specific spatial and temporal contexts. This survey offers a comprehensive review of contemporary research in trajectory data mining, with a particular focus on maritime applications. The article collects and evaluates state-of-the-art algorithmic approaches and key techniques pertinent to various use case scenarios within this domain. Furthermore, this study provides an in-depth analysis of recent developments …

Maxwell's Second Equation: The Gauss's Law For Magnetostatic Fields, Ashanthi Maxworth Phd

EM Fields With Prof. Maxworth

Gauss's Law for magnetostatic fields says that the total magnetic flux through a closed surface is equal to zero. In otherwords, there are no magnetic monopoles. This law has been applied in multiple mathematical derivations. Watch the short video where Dr. Maxworth explains this law. In the worksheet you can observe the magnetic flux generated due to a current through a straight coaxial cable. Note that the magnetic flux always exisit as close loops making the total net flux through a closed surface zero and the direction of the magnetic field can be derived by the right hand rule, i.e …

Rhythm Machine: Polyrhythmic Dimensions, James Elam

Theses and Dissertations

James Elam combines visual and aural mediums with technology to capture and manipulate sound. Here, Elam discusses how the repetitive elements in his work serve a practical purpose and add a conceptual and tactile layer to his sculptures and echo the hypnotic qualities in his DJ practice.

Met 103-002: Engineering Graphics And Intro. To Cad, Sahidur Rahman

School of Applied Engineering and Technology Syllabi

No abstract provided.

Development Of Interface-Specific Two-Dimensional Vibrational-Electronic (I2d-Ve) Spectroscopy For Vibronic Couplings At Interfaces, Yuqin Qian, Zhi-Chao Huang-Fu, Jesse B. Brown, Yi Rao

Chemistry and Biochemistry Faculty Publications

Bulk 2D electronic–vibrational (2D-EV) and 2D vibrational–electronic spectroscopies (2D-VE) were previously developed to correlate the electronic and vibrational degrees of freedom simultaneously, which allow for the study of couplings between electronic and vibrational transitions in photo-chemical systems. Such bulk-dominated methods have been used to extensively study molecular systems, providing unique information such as coherence sensitivity, molecular configurations, enhanced resolution, and correlated states and their dynamics. However, the analogy of interfacial 2D spectroscopy has fallen behind. Our recent work presented interface-specific 2D-EV spectroscopy (i2D-EV). In this work, we develop interface-specific two-dimensional vibrational–electronic spectroscopy (i2D-VE). The fourth-order spectroscopy is based on a …

Supplementary Files For: "Structure Identification For High-Dimensional Data In The Vicinity Of Bear Lake", Ben Shaw, Haley Burger, Brennan Bean, Kevin Moon

Browse all Datasets

This report focuses on seven water quality measurements taken at 43 different depths on the Bear Lake for the months of June - November in the years 2018 - 2023. These measurements create a high-dimensional dataset on which we apply state-of-the-art machine learning (ML) techniques to look for low-dimensional structure in the data. A similar effort was made for weather measurements taken near the lake. Our analysis revealed that water quality measurements tend to cluster (i.e., group together) by year, while weather measurements tend to cluster by time of the year. This suggests that the structure observed in the water …

Geospatial Machine Learning Approaches For Studying Urbanization Impact, Surface Reflectance Patterns, And Groundwater Health Risks, Bibhash Nath

Theses and Dissertations

Geospatial machine learning techniques have been used to study: the impact of urbanization on land use and land cover change, surface reflectance patterns in boreal regions, and groundwater health risks from arsenic in India. These studies combined spatial data, remote sensing, and predictive models to gain valuable insights for sustainable living and protecting human health.

Using Spatial Network Analysis To Explore Migration Of Extended Families In Historical Research, Rock Miller

Theses and Dissertations

This project proposes a geoinformatics approach for understanding the migration of extended families in historical contexts. It uses full-count longitudinal census data (developed by the Minnesota Population Center) and graph methods to define multi-generational extended family relationships and to model the locational structures of these families as a spatial network. Graph algorithms and mapping methods are used to interrogate these structures as reflections of the patterns of family outmigration and extension over time. The study is based on a set of extended families resident in a 15-county study area in the Bluegrass region of Kentucky in 1870, and their evolution …

You Get That From Me, Robyn Duncan

Theses and Dissertations

You Get That From Me is a mixed-media, collage-based film that integrates personal portraits, allegorical maps, and digital collages with spoken narration to craft a stylistic memoir of a pivotal period in my life: the transition from childhood to motherhood.

Data Supporting "Cloud Microphysical Response To Entrainment Of Dry Air Containing Aerosols", Will Cantrell, Jae Min Yeom, Hamed F. Sadi, Jesse Anderson, Fan Yang, Raymond Shaw

Michigan Tech Research Data

Aerosol particles play a pivotal role in shaping clouds, precipitation, and climate. However, it still remains one of the significant uncertainties in climate change. While most aerosols are activated at the cloud base, the aerosol particles entrained from the cloud top or edges can also contribute to droplet formation above the base. This process might significantly impact cloud properties and lifetimes.

In this study, we investigate how entraining aerosol-laden air affects cloud microphysics by adding aerosol particles to the dry-air inflow in the Pi chamber experiments. The findings show that the cloud droplet number concentration and liquid water content increase …

Spring 2025 Letter From The President Of Sigma Gamma Epsilon, Steve W. Bennett

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

In Memoriam: Dr. Rodney M. “Rod” Feldmann (1939–2024), Sigma Gamma Epsilon’S Longest-Serving Chapter Advisor, Joseph D. Ortiz, Richard L. Ford

The Compass: Earth Science Journal of Sigma Gamma Epsilon

The Society of Sigma Gamma Epsilon (SGE), Kent State University (KSU), and the geoscience community lost a loyal supporter, remarkable student mentor, and world-renowned paleontologist when Dr. Rodney M. “Rod” Feldmann died peacefully at home on May 1, 2024, at the age of 84. He is survived by his wife Dr. Carrie Schweitzer (Kent, OH), his daughter Aissa Feldmann (Durham, NC), and his brothers, Frank George (Helen) DuPree (Billings, MT) and Don Keck (Mary Grace) DuPree (Atlanta, GA).