Digital Commons Network^™

Hell You Talmbout: Mixtapes As Method For Online Environmental Justice Pedagogy, Elspeth Iralu, Caitlin Grann

Dialogue: The Interdisciplinary Journal of Popular Culture and Pedagogy

This paper takes on the mixtape as a pedagogical method for approaching urgent and critical topics within the undergraduate online classroom. Drawing on two case studies from different sections of an introductory course on environmental and social justice taught in an American studies department, we demonstrate how mixtape-inspired assignments offer a method for theorizing and enacting the connections between popular culture and critical scholarship around injustice in the humanities and social sciences while also altering the space of the classroom to promote deeper student engagement, comprehension, and reflection. We argue that introducing popular culture as both content and method within …

Coupling Between Evapotranspiration, Water Use Efficiency, And Evaporative Stress Index Strengthens After Wildfires In New Mexico, Usa, Ryan C. Joshi, Annalise Jensen, Madeleine Pascolini-Campbell, Joshua B. Fisher

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Aim

Methods

Results …

Examining Wildfire Dynamics Using Ecostress Data With Machine Learning Approaches: The Case Of South-Eastern Australia's Black Summer, Yuanhui Zhu, Shakthi B. Murugesan, Ivone K. Masara, Soe W. Myint, Joshua B. Fisher

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Wildfires are increasing in risk and prevalence. The most destructive wildfires in decades in Australia occurred in 2019–2020. However, there is still a challenge in developing effective models to understand the likelihood of wildfire spread (susceptibility) and pre-fire vegetation conditions. The recent launch of NASA's ECOSTRESS presents an opportunity to monitor fire dynamics with a high resolution of 70 m by measuring ecosystem stress and drought conditions preceding wildfires. We incorporated ECOSTRESS data, vegetation indices, rainfall, and topographic data as independent variables and fire events as dependent variables into machine learning algorithms applied to the historic Australian wildfires of 2019–2020. …

2024 - The Fifth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2024 Symposium of Student Scholars, held in November 2024. Includes abstracts from the presentations and posters.

Understanding Cybersecurity Perception In The Maritime Sector Of Nigeria : A Comparative Analysis, Lawal Mohammed Abdulrasaq

World Maritime University Dissertations

No abstract provided.

Toward A Responsible Future: Recommendations For Ai-Enabled Clinical Decision Support, Steven Labkoff, Bilikis Oladimeji, Joseph Kannry, Anthony Solomonides, Russell Leftwich, Eileen Koski, Amanda L Joseph, Monica Lopez-Gonzalez, Lee A Fleisher, Kimberly Nolen, Sayon Dutta, Deborah R Levy, Amy Price, Paul J Barr, Jonathan D Hron, Baihan Lin, Gyana Srivastava, Nuria Pastor, Unai Sanchez Luque, Tien Thi Thuy Bui, Reva Singh, Tayler Williams, Mark G Weiner, Tristan Naumann, Dean F Sittig, Gretchen Purcell Jackson, Yuri Quintana

Faculty, Staff and Student Publications

BACKGROUND: Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness, mitigating bias, and maintaining safety is paramount. The lack of established methodologies for pre- and post-deployment evaluation of AI tools regarding crucial attributes such as transparency, performance monitoring, and adverse event reporting makes this situation challenging.

OBJECTIVES: This paper aims to make practical suggestions for creating methods, rules, and guidelines to ensure that the development, testing, supervision, and use of AI in clinical decision support (CDS) systems are done well and safely for patients.

MATERIALS AND METHODS: In May …

Power Shift: Steering The Energy Sector Towards A Net Zero Future, Tengku Muhammad Taufik

Asian Management Insights

Tengku Muhammad Taufik, President and Group CEO of PETRONAS, discusses how the global energy company navigates an increasingly volatile energy market while advancing its commitment to a Net Zero future. Balancing traditional operations with the demands of an accelerated energy transition, PETRONAS focuses on delivering energy to its stakeholders while meeting sustainability expectations. The company adopts frontier technologies and artificial intelligence (AI) as key enablers in its strategy to achieve a sustainable and resilient energy future.

Assessing The Spatiotemporal Variability Of Aerosol Optical Depth And Particle Sizes In The Uae Atmosphere Using Remotely Sensed Data, Bashayer Ali Alzahmi

Theses

This thesis investigates atmospheric aerosol concentrations, with a particular focus on the United Arab Emirates (UAE). The study maps the spatial and temporal variations in Aerosol Optical Depth (AOD) and characterizes aerosols using high-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) products. The primary objective of this research is to enhance the understanding of aerosol dynamics in the UAE by distinguishing between natural and anthropogenic aerosols through the Angström Exponent (AE) and assessing their impacts on local climate, air quality, and public health. The study employs Remote Sensing (RS) techniques to conduct detailed environmental assessments, analyzing AOD variability across daily, monthly, seasonal, …

Media Use, Interpersonal Communication, And Personal Relevance As External And Internal Representations Of Climate Change, Sonny Rosenthal, Pengya Ai

Research Collection College of Integrative Studies

Personal relevance is a key driver of individual climate action. It is also related to media use and interpersonal communication, which the current study examines from two perspectives. First, individuals may find climate change personally relevant because they experience it vicariously through the media and other information sources. Second, they may engage with climate change information because the issue is personally relevant. This study tested these models using structural equation modeling of online survey data from representative samples in Singapore (n = 1,997) and the United States (n = 2,009). Findings supported both models, albeit the first one more strongly. …

The Effects Of Wildfires On The Mental And Physical Health Of School-Age Children In North America: A Scoping Review, Sarah Oerther, Sarah Manspeaker, Alison Wix, Daniel Oerther, Carmen Marsit

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Background: Wildfires are occurring more often and with greater intensity, leading to longer and harsher fire seasons. As a result, children are more frequently exposed to wildfire smoke, which increases their risk of mental and physical health effects. Purpose: The purpose of our scoping review is to explore the current literature on what is known about the direct and indirect impacts of wildfires on the mental and physical health of school-age children in North America (5 to 18-year-olds). Methods: A health sciences librarian-assisted literature search, with input from the research team, was performed. Results: A total of 16 studies were …

From Data To Application: Harnessing Big Spatial Data And Spatially Explicit Machine Learning Model For Landslide Susceptibility Prediction And Mapping, Min Naing Khant, Mei Yi Victoria Grace Ann, Tin Seong Kam

Research Collection School Of Computing and Information Systems

Recent advancements in information and communication technology have significantly enhanced access to extensive geospatial data, presenting a valuable opportunity to leverage big spatial data for improved modeling and predictive capabilities in natural disaster risk assessment. This paper explores the integration of a comprehensive dataset comprising historical landslide events and various geo-environmental variables within a spatially explicit machine learning framework. The study empirically demonstrates that incorporating big spatial data allows a more nuanced understanding of local variations and spatial dependencies. Ultimately, this empirical assessment produces more accurate landslide risk predictions than traditional baseline models. Using Italy’s expansive Valtellina Valley as a …

Human Capital Development : Bridging The Skills Gap In The Maritime Administration Of Namibia, Agnes Matheus

World Maritime University Dissertations

No abstract provided.

Effects Of Longitudinal Training Walls On Two-Dimensional Flow Structure, Sediment Transport, And Bed Aggredation Using Numerical Methods And Sediment Core Analyses In Grand River, Michigan, Sumaiya Tul Siddique

LSU Doctoral Dissertations

Longitudinal training walls (LTWs) are structures oriented parallelly with the main flow and separate the channel into two sub-channels. One channel acts as the main navigational channel and the other is considered a secondary side channel. The long-term effects of the LTWs on morphodynamics and deposition remain poorly understood. This study investigated the long-term effects of the LTWs on flow, sediment transport and long-term deposition of the Grand River using numerical approaches and sediment core analysis. The effects of LTWs on 2D flow dynamics and sediment transport were investigated by using numerical approaches. The long-term deposition under the influence of …

13th International Conference On Business, Technology And Innovation 2024, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2024

UBT Annual International Conference is the 13th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

New Materialism And Public Lands: Opportunities For Human And Nonhuman Interactions At Petroglyph National Monument, Madilynn M. Nolen

Geography ETDs

Petroglyph National Monument (PETR) resides at the intersection of geology, urban development, and environmental preservation. As the site of convergence for these complex systems, this National Park site is an example of what kinds of interactions occur between humans and nonhumans and how these interactions mediate our broader understanding of material world. This project utilizes literature from more-than-human geographies and new materialism to examine how these interactions inform the management strategies of PETR. Through the interviews of 15 Volunteers-in-Parks and a focus group of five PETR employees, this project investigates what nonhuman entities are present on and around the monument, …

Carbon Restoration Potential On Global Land Under Water Resource Constraints, Shouzhang Peng, César Terrer, Benjamin Smith, Philippe Ciais, Qinggong Han, Jialan Nan, Joshua B. Fisher, Liang Chen, Lei Deng, Kailiang Yu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Ecosystem restoration is a critical nature-based solution to mitigate climate change. However, the carbon sequestration potential of restoration, defined as the maximum achievable carbon storage, has likely been overestimated because previous studies have not adequately accounted for the competition between ecosystem water demands for maximizing carbon sequestration and human water needs. Here we used a comprehensive process-based model combined with extensive land-use data and evaporation recycling accounting for land–atmosphere feedback to estimate the water requirements associated with ecosystem restoration. We found that achieving the carbon sequestration potential of restoration would significantly reduce global water availability per capita by 26%, posing …

Local Hydroclimate Alters Interpretation Of Speleothem Δ18o Records, E. W. Patterson, V. Skiba, A. Wolf, M. L. Griffiths, D. Mcgee, T. N. Bùi, M. X. Trần, T. H. Đinh, Q. Đỗ-Trọng, Gregory R. Goldsmith, V. Ersek, K. R. Johnson

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Oxygen isotopes (δ¹⁸O) are the most commonly utilized speleothem proxy and have provided many foundational records of paleoclimate. Thus, understanding processes affecting speleothem δ¹⁸O is crucial. Yet, prior calcite precipitation (PCP), a process driven by local hydrology, is a widely ignored control of speleothem δ¹⁸O. Here we investigate the effects of PCP on a stalagmite δ¹⁸O record from central Vietnam, spanning 45 – 4 ka. We employ a geochemical model that utilizes speleothem Mg/Ca and cave monitoring data to correct the δ¹⁸O record for PCP effects. The resulting record …

Modern Governance System For Global Sustainable Development Goals, Bojie Fu, Jinghai Li, Junze Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Sustainable Development Goals (SDGs), as a key global framework for addressing social, economic, and environmental challenges, have drawn widespread attention due to the slow progress in their implementation. Despite the international community’s high regard for the SDGs, current research predominantly focuses on the assessment of progress and the analysis of interlinkages among the goals, with insufficient discussion on how to improve governance systems aimed at achieving the SDGs. Based on the system classification framework of SDGs, which includes “essential needs”, “objectives,” and “governance” categories, this study develops a governance system for the comprehensive realization of the SDGs. It analyzes …

Carbon Emission Estimation For Computing Infrastructure: Methods, Progress, And Prospects, Xiaohong Chen, Liaoying Cao, Yangjie Wang, Zhuqian He, Wenzhi Cao

Bulletin of Chinese Academy of Sciences (Chinese Version)

As a foundational pillar of an increasingly digital and intelligent society, computing infrastructure embodies a dual nature—marked by high energy consumption and potential for emission reduction simultaneously. This duality positions it as a critical domain requiring balance under China’s dual-carbon goals. Nevertheless, there remains no clear consensus on methods for estimating its carbon emissions. Its ambiguity stems from differences in the applicability of assessment methods across various lifecycle stages, as well as a fragmented understanding of its intrinsic emissions and enabling effects on carbon mitigation. This study systematically reviews estimation methodologies from both broad and narrow perspectives, highlighting the heterogeneity …

Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao

I-GUIDE Forum

Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …

Enhanced Lithological Mapping In Arid Crystalline Regions Using Explainable Ai And Multi-Spectral Remote Sensing Data, Hesham Morgan, Ali Elgendy, Amir Said, Mostafa Hashem, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Lithological classification is essential for understanding the spatial distribution of rocks, especially in arid crystalline areas. Artificial intelligence (AI) recent advancements with multi-spectral satellite imagery have been utilized to enhance lithological mapping in these areas. Here we employed different AI models namely, Support Vector Machine (SVM), Random Forest Classification (RFC), Logistic Regression, XGBoost, and K-nearest neighbors (KNN) for lithological mapping. This was followed by the application of explainable AI (XAI) for lithological discrimination (LD) which is still not widely explored. Based on the highest accuracy and F1 score of the previously mentioned models, RFC model outperformed all of them, and …

Tradeoffs Of Generalization, Kyra M. Abrams, Peter T. Darch

I-GUIDE Forum

Models used in geospatial data science are often built and optimized for a specific local context, such as a particular location at a point in time. However, upon publication, these models may be generalized beyond this context, reused in research simulating or predicting other times and places. Without sufficient information or documentation, bias embedded in these models can in turn result in bias in the reuser’s research outputs. Drawing on a long-term qualitative case study of aging dams researchers and developers of models used by these researchers, we find significant documentation gaps. We combine a literature-based genealogy with interviews with …

Scaling Individual Tree Transpiration With Thermal Cameras Reveals Interspecies Differences To Drought Vulnerability, Mostafa Javadian, Donald M. Aubrecht, Joshua B. Fisher, Russell L. Scott, Sean P. Burns, Jen L. Diehl, J. William Munger, Andrew D. Richardson

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Understanding tree transpiration variability is vital for assessing ecosystem water-use efficiency and forest health amid climate change, yet most landscape-level measurements do not differentiate individual trees. Using canopy temperature data from thermal cameras, we estimated the transpiration rates of individual trees at Harvard Forest and Niwot Ridge. PT-JPL model was used to derive latent heat flux from thermal images at the canopy-level, showing strong agreement with tower measurements (R2 = 0.70–0.96 at Niwot, 0.59–0.78 at Harvard at half-hourly to monthly scales) and daily RMSE of 33.5 W/m2 (Niwot) and 52.8 W/m2 (Harvard). Tree-level analysis revealed species-specific responses to …

Ai And Future-Making: Design, Biases, And Human-Plant Interactions, Maliheh Ghajargar

Art Faculty Articles and Research

Design researchers and practitioners are turning to generative AI (genAI) to support activities such as ideation and concept development in pursuit of preferred futures. At the same time, genAI is known to have biases, which prompts questions about how these biases might adversely affect design practices. In the domain of sustainable HCI, with its recent trends in human-nature interactions and more-than-human design, the question can be further refined into whether and how genAI biases might perpetuate anthropocentric biases that these practices are increasingly seeking to confront. In the present research, we conducted three workshops, focusing on genAI for human-plant interactions; …

Challenges And Future Directions In Quantifying Terrestrial Evapotranspiration, Koong Yi, Gabriel B. Senay, Joshua B. Fisher, Lixin Wang, Kosana Suvočarev, Housen Chu, Georgianne W. Moore, Kimberly A. Novick, Mallory L. Barnes, Trevor F. Keenan, Kanishka Mallick, Xiangzhong Luo, Justine E. C. Missik, Kyle B. Delwiche, Jacob A. Nelson, Stephen P. Good, Xiangming Xiao, Steven A. Kannenberg, Arman Ahmadi, Tianxin Wang, Gil Bohrer, Marcy E. Litvak, David E. Reed, A. Christopher Oishi, Margaret S. Torn, Dennis Baldocchi

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Terrestrial evapotranspiration is the second-largest component of the land water cycle, linking the water, energy, and carbon cycles and influencing the productivity and health of ecosystems. The dynamics of ET across a spectrum of spatiotemporal scales and their controls remain an active focus of research across different science disciplines. Here, we provide an overview of the current state of ET science across in situ measurements, partitioning of ET, and remote sensing, and discuss how different approaches complement one another based on their advantages and shortcomings. We aim to facilitate collaboration among a cross-disciplinary group of ET scientists to overcome the …

Projected Loss Of Rock Glacier Habitat In The Contiguous Western United States With Warming, Abigail C. Lute, John T. Abatzoglou, Andrew G. Fountain, Timothy C. Bartholomaus

Geology Faculty Publications and Presentations

Rock glaciers support alpine biodiversity and may respond more slowly to warming than snow or glaciers. While responses of snow and glaciers to climate change are relatively well understood, a robust assessment of rock glacier environmental niche, future distributions of rock glaciers and potential for development of rock glaciers from current glaciers is lacking. Using process-relevant, high-resolution environmental descriptors, we develop a species distribution model of the topographic, geologic and hydroclimatic niche of rock glaciers that provides novel estimates of potential rock glacier distributions for different climates. We identify mean annual air temperature and headwall area as the dominant controls …

Santa Clara Magazine, Volume 65 Number 2, Fall 2024 [Print Issue 62:2], Santa Clara University

Santa Clara Magazine

12 - INCREASING ACCESS Discerning one’s dream requires a whole set of experiences based on community, opportunity, and, yes, cash. Leslie Griffy

16 - UNPACKING UTOPIA It seems like billionaire-backed utopias are popping up all over the map. What does it take to build a perfect city? Lauren Loftus

22 - A WEALTH OF WELL-BEING In his new book, Professor Meir Statman explores a holistic approach to financial and life well-being. Leslie Griffy

26 - A WOMAN'S PLACE Despite being denied access to the priesthood, Catholic women find new ways to lead. Leslie Griffy

Addressing The Teacher Shortage: A Data-Driven Exploration Of Computer Science Teacher Capacity In Wisconsin High Schools, Sujeeth Goud Ramagoni

Dissertations (1934 -)

The rapid evolution of technology and its integration across virtually every field has made computer science (CS) education a crucial component of modern curricula. Despite the increasing demand for CS skills and being the top source of new wage creation in the U.S., CS education remains undervalued and underrepresented in high school systems. This disparity is particularly evident in Wisconsin (WI), where the lack of certified CS teachers creates significant barriers to student access and equitable participation in CS courses. Although WI implemented a CS teacher certification requirement over 30 years ago and was among the earlier states to adopt …

2024 Celebration Of Scholarship, Creativity, And Engagement, Todd Bruns, Anna Nelson

Programs

Annually, Eastern Illinois University honors faculty achievements in the areas of research, creativity, and engagement. The list of faculty accomplishments is truly impressive, reflective of an engaged faculty committed to excellence and the ongoing pursuit and creation of knowledge. Many of these accomplishments occurred in collaboration with our students, who serve as co-authors, research assistants and partners in bringing these activities to fruition. In some cases, these professional ambitions transpired over many years and are a testament to persistence and tenacity. We extend a sincere message of congratulations for this diverse range of achievements, which bring distinction to our departments, …

Bridging The Birth Divide: Doula Perspectives On Cesarean Trends In Switzerland And The U.S., Lina Verghese

Switzerland: Global Health and Development Policy

Cesarean section (C-section) rates remain a global concern, reflecting variations in maternal care practices, healthcare access, and systemic biases. While essential in certain cases, the overuse of C-sections is linked to adverse maternal and neonatal outcomes, reinforcing medicalized approaches to childbirth. This study explores disparities in C-section rates across regions in Switzerland (Zug and Jura) and the United States (Mississippi and Alaska) and examines the role of doulas in addressing these disparities.

Using a mixed-methods approach, qualitative interviews with doulas and quantitative regional data highlight systemic and cultural influences on C-section trends. In affluent Zug, convenience and elective procedures drive …