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Articles 39451 - 39480 of 721903
Full-Text Articles in Entire DC Network
Sustainability Risk In Guyana’S Oil Sector: An Analytical Framework For Balancing Environmental And Economic Impacts, Kayla B. Moonsammy
Sustainability Risk In Guyana’S Oil Sector: An Analytical Framework For Balancing Environmental And Economic Impacts, Kayla B. Moonsammy
Theses and Dissertations
This study investigates the sustainability risks posed by Guyana’s rapidly expanding oil sector, with particular focus on balancing economic benefits against environmental vulnerabilities. The primary aim is to develop a Sustainability Risk Index (SRI) that captures the multidimensional impacts of offshore oil development using an integrated data-driven framework. Specifically, this thesis examines how emissions, biodiversity loss, oil spill exposure, economic volatility, and social development indicators interact to influence sustainability outcomes in the context of Guyana’s transition into a major petroleum-producing nation. The research does not involve human participants; instead, it draws on publicly available datasets collected from 2015 to 2024. …
A High-Order Eulerian–Lagrangian Runge–Kutta Finite Volume (El–Rk–Fv) Method For Scalar Nonlinear Conservation Laws, J. Chen, Joseph Nakao, J.-M. Qiu, Y. Yang
A High-Order Eulerian–Lagrangian Runge–Kutta Finite Volume (El–Rk–Fv) Method For Scalar Nonlinear Conservation Laws, J. Chen, Joseph Nakao, J.-M. Qiu, Y. Yang
Mathematics & Statistics Faculty Works
We present a class of high-order Eulerian–Lagrangian Runge–Kutta finite volume methods that can numerically solve Burgers’ equation with shock formations, which could be extended to general scalar conservation laws. Eulerian–Lagrangian (EL) and semi-Lagrangian (SL) methods have recently seen increased development and have become a staple for allowing large time-stepping sizes. Yet, maintaining relatively large time-stepping sizes post shock formation remains quite challenging. Our proposed scheme integrates the partial differential equation on a space-time region partitioned by linear approximations to the characteristics determined by the Rankine–Hugoniot jump condition. We trace the characteristics forward in time and present a merging procedure for …
Winter 2025, Augustana College, Rock Island Illinois
Winter 2025, Augustana College, Rock Island Illinois
Augustana Magazine
No abstract provided.
Undergraduate Catalogue 2025 - 2026, Tennessee State University
Undergraduate Catalogue 2025 - 2026, Tennessee State University
Tennessee State University Undergraduate Catalogues
No abstract provided.
The Influence Of Generative Artificial Intelligence On Leadership: An Exploration Of Technology Professionals' Perceptions Regarding Leadership, Adaptation, And Organizational Culture In The Digital Age, Paul Thomas Herdman
Theses, Dissertations and Capstones
The emergence of generative artificial intelligence (GenAI) has introduced new complexities for organizational leadership, requiring technology professionals to adapt in real time to evolving digital tools, strategic demands, and cultural dynamics. Although prior research has examined AI’s broad influence on business processes, few studies have explored how technology leaders experience and interpret the leadership challenges and opportunities arising from GenAI. This qualitative dissertation addressed that gap by investigating the perceptions of senior technology professionals regarding GenAI’s influence on leadership roles, competencies, decision making, and organizational culture. Using Lanigan’s (1977) phenomenological method of human science, this study explored the lived experiences …
Line Graphs Of Directed Graphs I, Vaidy Sivaraman, Daniel Slilaty
Line Graphs Of Directed Graphs I, Vaidy Sivaraman, Daniel Slilaty
Mathematics and Statistics Faculty Publications
We determine the forbidden induced subgraphs for the intersection of the classes of chordal bipartite graphs and line graphs of acyclic directed graphs. This is a first step towards finding the forbidden induced subgraphs for the class of line graphs of directed graphs.
Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang
Foundational Robotics, Akshit Lunia, Ananya Nagabhushana Rao, Yue Wang
Robotics
This textbook is a product of Co-DREAM OER (Collaborative Development of Robotics, Mechatronics, and Advanced Manufacturing Open Educational Resources), a US Department of Education-funded initiative to develop Open Educational Resource textbooks on robotics, mechatronics, and advanced manufacturing processes. It has been created by a diverse team of scholars and graduate students from across the country and is intended for higher-level robotics courses offered by 4-year undergraduate programs.
Bibliography Of Prior Literature Relevant To Research Development, Michael J. Spires, Nina Exner, Joshua Roney, April Schoonover
Bibliography Of Prior Literature Relevant To Research Development, Michael J. Spires, Nina Exner, Joshua Roney, April Schoonover
Research Development Repository
This document contains references that were included in the original Mendeley citation library established by Holly J. Falk-Krzesinski, added by NORDP members after the library was established, or included by the task force as a result of either personal knowledge or bibliographic tracing. While not exclusive, this bibliography represents a nucleus of the extant literature relevant to research development, and can serve as a resource for RD professionals going forward.
Hatter, Hamilton - Biography, Bates College
Hatter, Hamilton - Biography, Bates College
All Bates People Files
No abstract provided.
Intertwining Wisdom: The Fusion Of Indigenous Knowledge And Liberal Arts And Sciences Education Discourses At The Autonomous Intercultural Indigenous University In The Colombian Cauca, Paula Milena Suárez Sandoval
Intertwining Wisdom: The Fusion Of Indigenous Knowledge And Liberal Arts And Sciences Education Discourses At The Autonomous Intercultural Indigenous University In The Colombian Cauca, Paula Milena Suárez Sandoval
GHEA21 Publications
This research shows how the Autonomous Intercultural Indigenous University (UAIIN), the most important community-based indigenous higher education institution in Colombia, has developed an educational model that harmonizes indigenous traditional knowledge with contemporary Liberal Arts and Sciences (LAS) discourses of higher education. Through qualitative analysis, the study compares how these two approaches are reflected in discourses around the purpose of education, pedagogical methods, and the university’s curriculum. The findings highlight an educational model that reconciles the inclusion of indigenous epistemologies with the contemporary dynamics of higher education.
Human Recreation Influences Activity Of A Large Carnivore In An Urban Landscape, E. C. Bolas, J. F. Benson, R. V. Blakey
Human Recreation Influences Activity Of A Large Carnivore In An Urban Landscape, E. C. Bolas, J. F. Benson, R. V. Blakey
School of Natural Resources: Faculty Publications
No abstract provided.
Northern Bobwhite Habitat Selection During The Nonbreeding Season In A Riparian Corridor In Colorado, J. M. Wolske, A. C. Behney, L. A. Powell
Northern Bobwhite Habitat Selection During The Nonbreeding Season In A Riparian Corridor In Colorado, J. M. Wolske, A. C. Behney, L. A. Powell
School of Natural Resources: Faculty Publications
No abstract provided.
Ordering According To Size Of Disks In A Narrow Channel, Dan Liu, Michael Karbach, Gerhard Müller
Ordering According To Size Of Disks In A Narrow Channel, Dan Liu, Michael Karbach, Gerhard Müller
Physics Faculty Publications
A long and narrow channel confines disks of two sizes. The disks are randomly agitated in a widened channel under moderate pressure, then jammed according to a tunable protocol. We present exact results that characterize jammed macrostates (volume, entropy, jamming patterns). The analysis divides jammed disk sequences into overlapping tiles out of which statistically interacting quasiparticles are constructed. The fractions of small and large disks are controlled by a chemical potential adapted to configurational statistics of granular matter. The results show regimes for the energy parameters (determined by the jamming protocol) that either enhance or suppress the mixing of disk …
The Implosion Of The Titan Submersible: A Stress–Strain Experiment, Gregory A. Dilisi, Steven J. Eppell, Richard A. Rarick
The Implosion Of The Titan Submersible: A Stress–Strain Experiment, Gregory A. Dilisi, Steven J. Eppell, Richard A. Rarick
2025 Faculty Bibliography
No abstract provided.
Commotio Cordis In The Introductory Classroom, Gregory A. Dilisi, Linda M. Dilisi, Mojtaba E. Youssefi, Richard A. Rarick, Carmela M. Dilisi
Commotio Cordis In The Introductory Classroom, Gregory A. Dilisi, Linda M. Dilisi, Mojtaba E. Youssefi, Richard A. Rarick, Carmela M. Dilisi
2025 Faculty Bibliography
No abstract provided.
Immunofluorescence-Based Detection Of Myc–Egr1 Pathway Activity In P53-Deficient Human Colorectal Cancer Cells, Samantha E. Schultheiss, Lyndsea Skojec, Erick Spears Dr.
Immunofluorescence-Based Detection Of Myc–Egr1 Pathway Activity In P53-Deficient Human Colorectal Cancer Cells, Samantha E. Schultheiss, Lyndsea Skojec, Erick Spears Dr.
Science University Research Symposium (SURS)
Immunofluorescence-Based Detection of MYC–EGR1 Pathway Activity in p53-Deficient Human Colorectal Cancer Cells
The Wnt signaling pathway drives proliferation in the intestinal epithelium and maintains those cells in an undifferentiated state. Dysregulation of this pathway results in uncontrolled proliferation of the intestinal epithelium which can lead to colorectal cancer. These effects are driven by the expression of a common Wnt target gene, MYC. Upregulation of MYC expression by the Wnt signaling pathway, either during normal Wnt signaling or dysregulated Wnt signaling, canonically drives intestinal epithelial cells into a proliferative state. Under a specific cellular context, the loss of functional p53, MYC …
Home Sweet Home: Analyzing Contributive Factors Of Home Selling Prices In The Greater Middle Tennessee Area, Miryana Glavan
Home Sweet Home: Analyzing Contributive Factors Of Home Selling Prices In The Greater Middle Tennessee Area, Miryana Glavan
Science University Research Symposium (SURS)
After the 2008 housing crisis and the 2020 COVID-19 pandemic, many people speculate that the contemporary housing situation is a seller’s market and that the next housing crisis is on the rise. With the consistency of relevance across all time periods presented by the housing sector, the decision was made to analyze this particular field, as it is evergreen. Data analysis is made regarding key predictive traits of house valuation and sell price. Highlighting important socioeconomic regional discrepancies among other influential factors of house prices is the paramount focus of the statistical analysis. Through data science, this study aims to …
Exploring The Myc-Egr1 Pathway In Human Colorectal Cancer Cells, Jacob L. Dykstra Iii, Bishoy S. Sami, Dr. Erick Spears
Exploring The Myc-Egr1 Pathway In Human Colorectal Cancer Cells, Jacob L. Dykstra Iii, Bishoy S. Sami, Dr. Erick Spears
Science University Research Symposium (SURS)
The WNT signaling pathway plays a crucial role in the regulation of cell growth and death in the intestinal epithelium and during colorectal carcinogenesis. In the presence of Wnt, MYC is upregulated, which leads to the proliferation of intestinal epithelial cells. Under certain cellular conditions, namely the loss of p53 function common to colorectal tumors, MYC upregulates the expression of the tumor suppressor EGR1, leading to apoptosis. This MYC-EGR1 pathway has been observed in p53-knockout mouse embryonic fibroblasts but has yet to be observed in human cells. These studies aim to assess the activity of the MYC-EGR1 pathway in human …
Ai In The Courtroom: The Boundaries Of Robolawyers And Robojudges, Hadar Y. Jabotinsky, Michal Lavi
Ai In The Courtroom: The Boundaries Of Robolawyers And Robojudges, Hadar Y. Jabotinsky, Michal Lavi
Fordham Intellectual Property, Media and Entertainment Law Journal
Artificial intelligence (AI) is rapidly developing and undoubtedly impacting every aspect of our lives. From lethal drones, to Apple’s Siri, and improved cancer diagnostics, AI algorithms are also increasingly integrated into decision-making. This article illuminates the impact of AI on the legal system and profession.
Currently, AI legal tools support lawyers’ and judges’ work and can assist in tasks such as due diligence, legal analysis, classification of documents by Technology-Assisted Review (TAR), providing legal advice, and engaging in predicting legal judgments. AI can even assist judges in decision making for risk assessments during sentencing. The …
Movements And Habitat Use Of Silver Carp In The Arkansas And White River, A. L. Althoff, J. L. Kinschuh, D. K. Owens, Jonathan J. Spurgeon, J. N. Stevens, S. E. Lochmann
Movements And Habitat Use Of Silver Carp In The Arkansas And White River, A. L. Althoff, J. L. Kinschuh, D. K. Owens, Jonathan J. Spurgeon, J. N. Stevens, S. E. Lochmann
Nebraska Cooperative Fish and Wildlife Research Unit: Staff Publications
No abstract provided.
Globe And Natural Inquirer Crosswalk Upper Elementary: Why Do Leaves Change Color, Kat Weidman, Abbi Woolcott, Globe U.S. Coordination Office
Globe And Natural Inquirer Crosswalk Upper Elementary: Why Do Leaves Change Color, Kat Weidman, Abbi Woolcott, Globe U.S. Coordination Office
Teacher Resources
No abstract provided.
Localized Kernel Methods For Signal Processing, Sippanon Kitimoon
Localized Kernel Methods For Signal Processing, Sippanon Kitimoon
CGU Theses & Dissertations
This dissertation presents two signal processing methods using specially designed localized kernels for parameter recovery under noisy condition. The first method addresses the estimation of frequencies and amplitudes in multidimensional exponential models. It utilizes localized trigonometric polynomial kernels to detect the multivariate frequencies, followed by a more detailed parameter estimation. We compare our method with MUSIC and ESPRIT, which are classical subspace-based algorithms widely used for estimating the parameters of exponential signals. In the univariate case, the method outperforms MUSIC and ESPRIT under low signal-to-noise ratios. For the multivariate case, we develop a coordinate-wise projection and registration approach that achieves …
Enhanced Kneser-Type Oscillation Criteria For Second-Order Functional Quasilinear Dynamic Equations On Time Scales, Taher S. Hassan, Elvan Akın, Bassant M. El-Matary, Ioan Lucian Popa, Mouataz Billah Mesmouli, Ismoil Odinaev, Akbar Ali
Enhanced Kneser-Type Oscillation Criteria For Second-Order Functional Quasilinear Dynamic Equations On Time Scales, Taher S. Hassan, Elvan Akın, Bassant M. El-Matary, Ioan Lucian Popa, Mouataz Billah Mesmouli, Ismoil Odinaev, Akbar Ali
Mathematics and Statistics Faculty Research & Creative Works
This work presents new Kneser-type oscillation criteria for second-order quasilinear functional dynamic equations defined on arbitrary unbounded above time scales. Our approach employs the Riccati transformation technique in conjunction with the integral averaging method. The results show a significant improvement over recent Kneser-type oscillation criteria. We provided several illustrative examples to highlight the importance of our findings.
Unlocking Organizational Potential For Gis Collaboration In Higher Education, Charidy Paige
Unlocking Organizational Potential For Gis Collaboration In Higher Education, Charidy Paige
CGU Theses & Dissertations
Hardware, performance, and complex interface issues are just a few barriers that Geographic Information Systems (GIS) instructors must overcome when collaborative efforts extend beyond their classrooms. As GIS technologies evolve, instructors must adapt quickly to new tools and methods to maintain effective collaboration and ensure students achieve positive learning outcomes. Successful cooperation between departments, institutions, and other organizations requires preparation and sustainability throughout the semester to foster meaningful partnerships and support institutional goals. This dissertation applies the Resource Dependency Theory (RDT) to identify and define the challenges faced by GIS instructors, examining how they navigate these barriers by leveraging internal …
Promise Program Providing Opportunities For Mathematics And Science Enrichment, Illinois Math And Science Academy
Promise Program Providing Opportunities For Mathematics And Science Enrichment, Illinois Math And Science Academy
Promise Programs
IMSA is committed to equity and excellence, actively recruiting students from all areas of Illinois. IMSA’s PROMISE Program addresses the unique challenges of culturally, linguistically, and economically diverse (CLED) students interested in STEM education by providing academic enrichment programming at low to no cost. This grant-funded program is open to all students, especially Black or African American students, Latinx students, students who qualify for the national free or reduced-price meal program, and students from rural Illinois counties. Attending these sessions allows students to work with IMSA faculty, staff, and student mentors while exploring IMSA’s unique learning laboratory. The program also …
Signal Processing And Classification Techniques Of Surface Electromyography To Understand Muscle Atrophy Due To Aging, Sofia Atanassov.
Signal Processing And Classification Techniques Of Surface Electromyography To Understand Muscle Atrophy Due To Aging, Sofia Atanassov.
2024
No abstract provided.
Applying Machine Learning In Identification And Prediction Of Muscle Atrophy Using Emg Signals., Lucas Zhang
Applying Machine Learning In Identification And Prediction Of Muscle Atrophy Using Emg Signals., Lucas Zhang
2024
No abstract provided.
Lost In The Department Of Education Layoffs: Who’S Accountable Post-Covid-19 For Students With Disabilities?, Sally Terry Green
Lost In The Department Of Education Layoffs: Who’S Accountable Post-Covid-19 For Students With Disabilities?, Sally Terry Green
Fordham Urban Law Journal
No abstract provided.
Ds 637-102: Python And Mathematics, Daming Li
Ds 637-102: Python And Mathematics, Daming Li
Data Science Syllabi
No abstract provided.
Bmet 440-342: Bmet Experiential Learning, Chang Yaramothu
Bmet 440-342: Bmet Experiential Learning, Chang Yaramothu
School of Applied Engineering and Technology Syllabi
No abstract provided.