Digital Commons Network^™

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).

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 …

Current Food Trade Helps Mitigate Future Climate Change Impacts In Lower-Income Nations, Kushank Bajaj, Zia Mehrabi, Thomas O. Kastner, Jonas Jägermeyr, Christoph Müller, Florian , Schwarzmüller, Thomas Hertel, Navin Ramankutty

Department of Agricultural Economics Faculty Publications

The risk of national food supply disruptions is linked to both domestic production and food imports. But assessments of climate change risks for food systems typically focus on the impacts on domestic production, ignoring climate impacts in supplying regions. Here, we use global crop modeling data in combination with current trade flows to evaluate potential climate change impacts on national food supply, comparing impacts on domestic production alone (domestic production impacts) to impacts considering how climate change impacts production in all source regions (consumption impact). Under 2°C additional global mean warming over present day, our analysis highlights that climate impacts …

Prediction Of Vessel Arrival Time To Optimize Berth Allocation In Ports Using Machine Learning Methods, Anfal Mansour Albloushi

Theses

80% of the world trade is carried out through the sea, which shows the importance of maintaining transportation efficiency in the maritime industry. The vessel arrival time and berth allocation pose a significant challenge in the marine field's day-to-day operation, especially when a high number of vessels are waiting at the anchorage to deliver the goods on time. This increases the pressure on the responsible stakeholders and good owners as some cargo must be delivered urgently. Artificial intelligence and machine learning play a vital role in improving the operation of different fields; utilizing such technologies in the maritime industry will …

Accreditation And Engineering Ethics Education, Shannon M. Chance

Research Outputs: 2025-Present

Over time, individuals and entities within the engineering education community have developed a multifaceted strategy to synchronize global educational practices and performance metrics. This comprehensive approach involves conducting and disseminating educational research (evident throughout this handbook) and implementing research-informed pedagogies in the classroom (exemplified by the teaching methods section). It also includes establishing and aligning accreditation standards internationally – to guide the content and delivery of engineering education, including ethics. Although this section focuses on the accreditation of engineering ethics education (EEE), understanding the overall accreditation system is essential for grasping the ethics component.

Elastic Scheduling For Graceful Degradation Of Mixed-Criticality Systems, Zhuoran Sun, Marion Sudvarg, Christopher Gill

Computer Science Faculty Research & Creative Works

Many mixed-criticality system models drop all jobs of low-criticality tasks when a criticality mode switch occurs, ensuring that high-criticality tasks still can meet their deadlines in the new mode. However, this means that even important low-criticality tasks are discarded, which may not be acceptable in some systems in practice. This paper addresses that distinction between criticality and importance through a new Inelastic Graceful Earliest Deadline First with Virtual Deadlines (IG-EDF-VD) scheme that upon a criticality mode switch only discards the least important low-criticality tasks necessary to ensure feasibility. Moreover, we consider elastic scheduling within our mixed-criticality model (EG-EDF-VD), using compression …

Sigma Gamma Epsilon Student Research Poster Session, Geological Society Of America Connects 2024, Anaheim, California, Usa, Scott R. Beason, Lee S. Potter

The Compass: Earth Science Journal of Sigma Gamma Epsilon

The Society of Sigma Gamma Epsilon sponsors a poster session at every annual meeting of the Geological Society of America. The 36th Sigma Gamma Epsilon undergraduate research poster session took place during the 2024 Geological Society of America Annual Meeting (GSA Connects) in Anaheim, California, USA, on Monday, September 23, 2024. Twenty-eight (28) posters were presented in Exhibit Hall D at the Anaheim Convention Center between 8:00 AM and 5:30 PM at the poster session. Titles, authors (italics for the presenting author), affiliations, and abstracts for each poster are listed in this report. Additionally, winners of the Austin A. Sartin …

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.

Spring 2025 Letter From The National Secretary-Treasurer Of Sigma Gamma Epsilon, Richard L. Ford

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

The Compass - Volume 94 Issue 1 - Complete Issue, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

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 …

January 3, 2025, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.

Faecal Excretion Of Thorium By Norm Workers, Gregory S. Hewson, Martin Ralph, Marcus Cattani

Research outputs 2022 to 2026

Exposure to thorium-bearing dust in industries handling and processing monazite and other minerals can pose radiological risks to workers. This study aimed to reassess historical faecal bioassay data collected over 10 d from two monazite plant workers using updated biokinetic and dosimetric models. Another objective was to evaluate the feasibility of faecal thorium bioassay for contemporary operations involving naturally occurring radioactive materials (NORM). The retrospective analysis found that the bioassay-derived thorium intakes were significantly higher than those estimated via personal air sampling. The effective dose estimates for the two workers were similar and ranged from 0.95 to 2.40 mSv over …

Silicon And Phosphorus Co-Doping Of Aluminium Nitride Nanotube (Sip-Alnnt) As Sensors For Polycyclic Aromatic Hydrocarbon Fuel Pollutants: A Computational Approach, Musa Runde, Uzairu Muhammad Sada, Friday O. Izachi, Odey S. Eburu, Anthony M.S. Pembere

Polytechnic Journal

Polycyclic aromatic hydrocarbons (PAHs) have become one of the major pollutants of the environment today due to consistent industrial activities, which have imposed great effects on human health. PAHs are mostly present in high concentrations in soils which are associated with industrial activities and are of concern due to their carcinogenic and toxic effects. With these growing industrial activities, developing alternative methods to mitigate the increasing negative effects caused by PAHs is considered a necessity. The novelty of this study is modelled aluminium nitride nanotube with silicon and phosphorus co-doping (SiP-AlNNT) to study its potential towards the sensing and adsorption …

Synthesis, Identification And Antibacterial Study Of New Ligand Derived From Benzothiazolemethanamine And Its Complexes With Some Metal Ions, Sahar Aqeel Hussain

Maaen Journal for Medical Sciences

A novel substituted 5-chloro-2-benzothiazolemethanamine ligand featuring an imine ‘(-N=CH-) category, 2-((((6-chlorobenzothiazol-2-yl) methyl)imino)methyl)-5-methoxyphenol (CBTMIM), was synthesized through the reaction of 2-benzothiazolemethanamine, 5-chloro, with 2-hydroxy-4-methoxybenzaldehyde in an absolute ethanolic solution. The azomethine ligand and its metal complexes have been identified by using mass spectrometry, ¹H and ¹³C NMR spectroscopy, C, H, N, and S elemental analysis, X-ray diffraction (XRD), (FESEM) microscopy, atomic absorbance spectroscopy. UV-visible spectroscopy, Fourier-transform infrared spectroscopy (FT-IR), magnetic susceptibility, and ionic conductance analysis. The chemical composition and additional measurement data of the metal complexes validate the stoichiometry of the metal: ligand ratio types that include; [M (L)], …

Development And Characterization Of Sodium Alginate-Based Active Edible Films Functionalized With Olive Mill Wastewater Extract, Nassima Hadri, Mohamed Didi Ould El-Hadj, Zineb Mahcene, Fatih Bozkurt, Rusen Metin Yildirim, Youcef Rahmani, Aicha Tedjani, Muhammet Arici

Karbala International Journal of Modern Science

Phenolic compounds from olive mill wastewater (PCO) of Algerian origin were used to produce sodium alginate-based active films using the casting method. The effects of adding various concentrations of PCO (0%, 0.1%, and 0.2% w/v) were evaluated regarding the molecular, morphological, thermal, physicochemical, optical, barrier, biodegradability, antimicrobial, and antioxidant properties of the alginate films. The FTIR and SEM results elucidated the development of a coherent cross-linked structure attributed to hydrogen bonding interactions between PCO and alginate chains. Consequently, the films exhibited enhanced crystallinity and thermal stability, as revealed by DSC analysis. Moreover, PCO addition positively influenced several film properties, including …

An Investigation To Evaluate The Effectiveness Of A Primary School's Improvement Plan Focusing On Maths Attainment And Progress Through Problem Solving., Karen Garlick

Plymouth Interdisciplinary Education Open Journal

No abstract provided.

Evaluating The Effect Of Students' Behavioural Intention To Use Social Media For Collaborative Learning, Nur Shamsiah Abdul Rahman, Noor Azida Sahabudin

Iraqi Journal for Computer Science and Mathematics

With the rise of social media technologies, investigating the use of social media for learning has become all the more important. However, far too little research has been conducted to investigate factors that contribute towards students’ attitude and behavioural intention to use social media for collaborative learning in Malaysian higher education. This study aims to examine the determinants that influence students’ attitude and behaviour intention to use social media for collaborative learning by applying the Theory Acceptance Model (TAM) and Unified Theory of Acceptance and Usage of Technology (UTAUT). 243 respondents participated in this study. The Structural Equation modelling (SEM) …

Education Policy Committee Agenda January 2, 2025, Utah State University

Educational Policies Committee

• Approval of Minutes
• Subcommittee Reports
• Other Business
• Adjourn: 4:00pm

Et 400-102: Professional Engineer (Pe) Preparation, Minas Botros

School of Applied Engineering and Technology Syllabi

No abstract provided.

2025 January - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Acute Toxicity Of Chlorimuron-Ethyl To Daphnia Magna, Jack H. Bagwell

SPARK Symposium Presentations

The acute toxicity of a sulfonylurea herbicide, chlorimuron ethyl, to Daphnia magna was determined experimentally using acute toxicity tests.

Multiparametric Mri Along With Machine Learning Predicts Prognosis And Treatment Response In Pediatric Low-Grade Glioma, Anahita Fathi Kazerooni, Adam Kraya, Komal Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili, Ariana Familiar, Deep Gandhi, Neda Khalili, Varun Kesherwani, Debanjan Haldar, Hannah Anderson, Run Jin, Aria Mahtabfar, Sina Bagheri, Yiran Guo, Qi Li, Xiaoyan Huang, Yuankun Zhu, Alex Sickler, Matthew R Lueder, Saksham Phul, Mateusz Koptyra, Phillip Storm, Jeffrey Ware, Yuanquan Song, Christos Davatzikos, Jessica Foster, Sabine Mueller, Michael J Fisher, Adam Resnick, Ali Nabavizadeh

Department of Neurosurgery Faculty Papers

Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and suitability for immunotherapy has the potential to improve clinical management and outcomes. Here, we present a radiogenomic analysis of pLGGs, integrating MRI and RNA sequencing data. We identify three immunologically distinct clusters, with one group characterized by increased immune activity and poorer prognosis, indicating potential benefit from immunotherapies. We develop a radiomic signature that predicts these immune profiles with over 80% accuracy. Furthermore, our clinicoradiomic model predicts progression-free …

Curriculum Subcommittee Agenda January 02, 2025, Utah State University

Educational Policies Committee

• Approval of Minutes
• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn

Brand Equity Applied To The Fmcg Industry Before And During The Covid-19 Pandemic: A Case Study Of Private Label Products In Ireland, Javier Casanoves-Boix, Ana Cruz-Garcia, Sonia García-Lafuente

Dept. of Marketing & International Business Publications

Introduction: This study aims to examine the significance of brand equity in private label products in Ireland, focusing on the period before and during the covid-19 pandemic.

Methodology: The sample consisted of 412 citizens of Cork (Ireland) who normally consume this kind of products. Five-point Likert scales were used to measure the main elements of brand equity, based on the previous studies found in the literature. IBM-SPSS29 was used as a working tool.

Results and discussion: The results show a positive relationship between perceptions of all variables related to brand equity both before and during covid-19, with …

Washington, Dc Public School Educators’ Perspectives On The Implementation Of Educational Technology In Music Education, Steven Garrison

Walden Dissertations and Doctoral Studies

There was a gap in practice in the consistent use of educational technology to engage students, provide instruction differentiation, and improve the overall music learning experience in the District of Columbia Public Schools (DCPS). The inconsistent use of technology in DCPS music programs limits students’ potential to fully experience and benefit from music education advancements. The purpose of this basic qualitative study was to explore the perspectives of K–12 DCPS music teachers on the use of educational technology to engage students, provide differentiated instruction, and improve overall learning outcomes. The conceptual framework was Davis’s technology acceptance model, which has been …

Modification Of Maxwell Model For Conductivity Prediction Of Carbon Nanotubes-Filled Polymer Composites With Tunneling Effect, Jue Zhu, Longyuan Li, Ningtao Zhu

School of Engineering, Computing and Mathematics

Carbon nanotubes (CNTs) have garnered great attention in recent years due to their outstanding electrical, thermal, and mechanical properties. The incorporation of small amounts of CNTs in polymers can substantially improve the sensitivity of the polymer’s electrical conductivity. This paper presents a modified Maxwell model to evaluate the electrical conductivity of CNTs-filled polymer composites by introducing a transition zone to account for the tunneling effect. In this modified Maxwell model, the CNTs-filled polymer composite is modeled as a three-phase composite, consisting of a matrix (polymer), inclusions (CNTs), and a transition zone (tunneling zone). The effective electrical conductivity (EEC) of the …