Social and Behavioral Sciences Commons^™

Community Adaptations To Wildfire Risk In Central Oregon, Usa: An Empirical Study Of Inclusionary Practices In Collaborative Wildfire Risk Mitigation, Liam Resener

Dissertations and Theses

Adverse impacts of wildfire in Western North America have become increasingly present through the 21^st century, driven by landscape changes imposed by colonists in the 19^th and 20^th centuries. Community adaptations to wildfire will be necessary through the 21^st century to restore landscapes and protect the safety and livelihoods of people who live in at-risk areas. Wildfire risk extends across countless environmental and social systems, and individuals have competing ideas about what constitutes that risk and how to best adapt to it. As resources are being allocated to community adaptations, important questions emerge about the values …

Digital Transformation In Government: A Bibliometric Scoping Of African Aspirations And The Realities, Hossana Twinomurinzi, Sibukele Gumbo

African Conference on Information Systems and Technology

African countries have persistently ranked poorly in the United Nations E-Government Development index (EGDI). This study therefore sought to make sense of the nature and form of digital transformation (DX) in African governments. It used a bibliometric analysis and a critical realist lens to explore some of the underlying structures and generative mechanisms that influence DX. The key findings from 606 scholarly publications over the three decades of DX research reveals marked sharp contrasts, with South Africa dominating the research on DX, an underrepresentation of DX research from most African nations, and some influence from non-African nations, particularly the United …

Managing Fires And Ecosystems Indigenous Fire Ecologies Session_Greenhouse Gas Emissions From Wildland Fires Workshop, Cynthia Twyford Fowler

Faculty Scholarship

No abstract provided.

Bridging The Cultural Gap, Trish Ramos

Journal of Multicultural Affairs

Multicultural education is about teaching people about each other without bias. Banks, C. (2016) states “Teachers need to understand their students’ community and home life (pg. 278).” As teachers it is our duty to ensure that every student that enters our classroom leaves with a sense of worth and knowing that each of them matter regardless of ethnicity, religion, gender or cultural.

Structure-From-Motion Derived Snow Cover In Burned Forests Of The Western Oregon Cascades, Siobhan Ciafone

Dissertations and Theses

Forest fire occurrence in the western US has increased rapidly since the 1980s, and most western US fires occur in the seasonal snow zone. Burned forests influence snow accumulation and melt patterns for years following fire, and understanding drivers of variability in snow cover across a burned landscape at the basin-scale is necessary for accurate hazard prediction and water resource forecasting. Basin-scale surveys of snowpack are possible with remote sensing, but accurate sensing methods such as Light Detection and Ranging (LiDAR) are often cost-prohibitive. In the last decade, structure-from-motion (SfM), an optical remote sensing technique, has emerged as an affordable …

Climate Stories: South Carolina, Volume 1, Kaelyn Emon, Emily Arnold, Samantha Carter, Hayden Jones, Sarah Owens, Noel A. Tufts, Tiana White, Laura Barbas Rhoden, Christine S. Dinkins

Community Based Research

In this volume, you will hear from South Carolina residents about how they have been sensing climate change throughout their lifetimes. All stories have been anonymized with the use of pseudonyms, except where participants asked for their story to be associated with their name.

Applying Structural Equation Modeling To Better Understand The Relationship Between Stressors, Social Support And Wellbeing In The Lives Of Spouse Dementia Caregivers, Craig Holden

Dissertations, Theses, and Capstone Projects

Applying Structural Equation Modeling to Better Understand the Relationship Between Stressors, Social Support and Wellbeing in the Lives of Spouse Dementia Caregivers considers the utility of Pearlin et al.’s (1990) stress process model in understanding the needs of spouse caregivers. Data were drawn from eight biennial waves of the University of Michigan Health and Retirement Study (HRS) and analyzed using structural equation modeling. The final study sample comprised 774 spouses, average age 73, who were categorized based on Alzheimer’s Disease and Related Dementia (ADRD) and non-ADRD caregiver status. Results showed that for the study sample as a whole, social support …

Extraction, Property, And Rights In Southeastern Arabian Seascapes C.1820–Present, Scott Erich

Dissertations, Theses, and Capstone Projects

This dissertation is a historical and ethnographic examination of fish, pearl, sponge, and oil extraction in the Persian Gulf and Gulf of Oman. These waters, which were fished and labored upon in much of the same way for millennia, have, in the last two centuries, undergone a sea change. Regimes of property and rights have transformed the ocean from a wild and undifferentiated space into a place which is enclosed, privatized, industrially fished, drilled, and otherwise despoiled. This dissertation, building on recent works in environmental history, Indian Ocean studies, and legal and economic anthropology, probes the many cultural, religious, social, …

Understanding Multi-Homing And Switching By Platform Drivers, Xiaotong Guo, Andreas Haupt, Hai Wang, Rida Qadri, Jinhua Zhao

Research Collection School Of Computing and Information Systems

Freelance drivers in the shared mobility market frequently switch or work for multiple platforms, affecting driver labor supply. Due to the importance of driver labor supply for the shared mobility market, understanding drivers’ switching and multi-homing behavior is vital to managing service quality on – and effective regulation of – mobility platforms. However, a lack of individual-level data on driver behavior has thus far impeded a deeper understanding. This paper taxonomizes and estimates perceived switching and multi-homing frictions on mobility platforms. Based on a structural model of driver labor supply, we estimate switching and multi-homing costs in a platform duopoly …

Quantifying Taxi Drivers' Behaviors With Behavioral Game Theory, Mengyu Ji, Yuhong Xu, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

With their flexibility and convenience, taxis play a vital role in urban transportation systems. Understanding how human drivers make decisions in a context of uncertainty and competition is crucial for taxi fleets that depend on drivers to provide their services. As part of this paper, we propose modeling taxi drivers’ behaviors based on behavioral game theory. Based on real-world data, we demonstrate that the behavioral game theory model we select is superior to state-of-the-art baselines. These results provide a solid foundation for improving taxi fleet efficiency in the future.

The Power Of Identity Cues In Text-Based Customer Service: Evidence From Twitter, Yang Gao, Huaxia Rui, Shujing Sun

Research Collection School Of Computing and Information Systems

Text-based customer service is emerging as an important channel through which companies can assist customers. However, the use of few identity cues may cause customers to feel limited social presence and even suspect the human identity of agents, especially in the current age of advanced algorithms. Does such a lack of social presence affect service interactions? We studied this timely question by evaluating the impact of customers’ perceived social presence on service outcomes and customers’ attitudes toward agents. Our identification strategy hinged on Southwest Airlines’ sudden requirement to include a first name in response to service requests on Twitter, which …

Literature Review In The Generative Ai Era: How To Make A Compelling Contribution, Shan L. Pan, Rohit Nishant, Tuure Tuunanen, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

As we write this editorial for this special issue, we are amidst the significant technological changes that are continuing to shape society. Since the emergence of ChatGPT in November 2022, humanity has become aware of the potential of generative AI (i.e., AI that can generate content) and large language models (LLMs) (i.e., AI models trained on a massive corpus of unstructured data). There is growing debate and discussion about the promise and perils of generative AI for the future of work, and academia is not immune. Premier journals in the IS domain, such as Information Systems Research, have published editorials …

Ai-Supported Academic Advising: Exploring Chatgpt’S Current State And Future Potential Toward Student Empowerment, Daisuke Akiba, Michelle C. Fraboni

Publications and Research

Artificial intelligence (AI), once a phenomenon primarily in the world of science fiction, has evolved rapidly in recent years, steadily infiltrating into our daily lives. ChatGPT, a freely accessible AI-powered large language model designed to generate human-like text responses to users, has been utilized in several areas, such as the healthcare industry, to facilitate interactive dissemination of information and decision-making. Academic advising has been essential in promoting success among university students, particularly those from disadvantaged backgrounds. Unfortunately, however, student advising has been marred with problems, with the availability and accessibility of adequate advising being among the hurdles. The current study …

Self-Reported Consumption Of Bottled Water V. Tap Water In Appalachian And Non-Appalachian Kentucky, Jason W. Marion

Journal of Appalachian Health

Introduction: Quantitative studies on drinking water perceptions in Appalachia are limited. High-profile water infrastructure failures in the U.S. and Eastern Kentucky, coupled with human-made and natural disasters in the Appalachian Region, have likely impacted opinions regarding tap water.

Purpose: To use existing unexplored data to describe baseline tap water v. bottled water consumption in Kentucky.

Methods: Telephone-based cross-sectional data were obtained from the 2013 Kentucky Health Issues Poll (KHIP) directed by the Foundation for a Healthy Kentucky. Among many items in KHIP, self-reported consumption of bottled water over tap water, reasons for bottled water use, and demographic data were obtained. …

Understanding The Use Of Artificial Intelligence In Cybercrime, Katalin Parti, Thomas Dearden, Sinyong Choi

International Journal of Cybersecurity Intelligence & Cybercrime

Artificial intelligence is one of the newest innovations which offenders exploit to satisfy their criminal desires. Although understanding cybercrime that is associated with this relatively new technology is essential in developing proper preventive measures, little has been done to examine this area. Therefore, this paper provides an overview of the two articles featured in the special issue of the International Journal of Cybersecurity Intelligence and Cybercrime, one about deepfakes in the metaverse and the other about social engineering attacks. The articles were written by the winners of the student paper competition at the 2023 International White Hat Conference.

Victimization By Deepfake In The Metaverse: Building A Practical Management Framework, Julia Stavola, Kyung-Shick Choi

International Journal of Cybersecurity Intelligence & Cybercrime

Deepfake is digitally altered media aimed to deceive online users for political favor, monetary gain, extortion, and more. Deepfakes are the prevalent issues of impersonation, privacy, and fake news that cause substantial damage to individuals, groups, and organizations. The metaverse is an emerging 3-dimensional virtual platform led by AI and blockchain technology where users freely interact with each other. The purpose of this study is to identify the use of illicit deep fakes which can potentially contribute to cybercrime victimization in the metaverse. The data will be derived from expert interviews (n=8) and online open sources to design a framework …

Harnessing Large Language Models To Simulate Realistic Human Responses To Social Engineering Attacks: A Case Study, Mohammad Asfour, Juan Carlos Murillo

International Journal of Cybersecurity Intelligence & Cybercrime

The research publication, “Generative Agents: Interactive Simulacra of Human Behavior,” by Stanford and Google in 2023 established that large language models (LLMs) such as GPT-4 can generate interactive agents with credible and emergent human-like behaviors. However, their application in simulating human responses in cybersecurity scenarios, particularly in social engineering attacks, remains unexplored. In addressing that gap, this study explores the potential of LLMs, specifically the Open AI GPT-4 model, to simulate a broad spectrum of human responses to social engineering attacks that exploit human social behaviors, framing our primary research question: How does the simulated behavior of human targets, based …

The Varied Landscape Of Consumer Fraud, Alan Saquella

Publications

In today's interconnected world, consumer fraud remains a persistent threat that can have far-reaching consequences for individuals and their financial well-being. While these insights are relatively current, it's essential to acknowledge that specific numbers and trends may have.

Risk Management During Spring Tide In Yangtze River Shanghai Section, Hongda Xu

World Maritime University Dissertations

No abstract provided.

Research On China Ship Co2 Emission Reduction Path：Under Imo Stage Targets, Biao Yi

World Maritime University Dissertations

No abstract provided.

The Implications Of Solidarity For Food Ethics, John Sniegocki

The Journal of Social Encounters

This essay examines numerous ways in which commitments to solidarity have relevance in the area of food ethics. Among the topics explored are food insecurity and hunger, workers’ rights, ecology, and the treatment of animals. Particular attention is paid to the impacts of the production and consumption of animal products. These issues are examined through the lens of the developing understanding of solidarity present in the tradition of Catholic social teaching (CST). The ethical framework provided by CST, it is suggested, could be further enhanced by insights drawn from the growing tradition of “Black veganism” and its holistic, intersectional understanding …

The Library & Generative Ai, Nat Gustafson-Sundell, Mark Mccullough

Library Services Publications

A demonstration of several AI tools, including ChatGPT, ChatPDF, Consensus, and more. The focus of the session is on potential student uses of the tools and related library initiatives, so we address the limits of ChatGPT as an information source. Librarians can help students learn how to use these tools responsibly and provide leadership on campus as AI is integrated into assignments.

Research On Performance Evaluation System Of Shipping Enterprises Under "Double Carbon" Strategy, Xiaoyu Xue

World Maritime University Dissertations

No abstract provided.

Transport Carbon Emission Reduction In A Seaport : Dry Port System, Jianshi Kang

World Maritime University Dissertations

No abstract provided.

How I Read An Article That Uses Machine Learning Methods, Aziz Nazha, Olivier Elemento, Shannon Mcweeney, Moses Miles, Torsten Haferlach

Kimmel Cancer Center Faculty Papers

No abstract provided.

Scale Model Experiments Of Toxic Gas Production From The Combustion Of Polymers When Applied With Different Droplet Sizes Of Water Mist, Nicharee Thinnakornsutubutr, Masayuki Mizuno, Kazunori Kuwana

Progress in Scale Modeling, an International Journal

This research experimentally investigated the combustion of polymeric materials with water mist application in an enclosure, with an emphasis on the production of toxic gases. Two different diameters, ~100 and ~260 μm, were tested. The experimental conditions were determined based on Froude similarity laws for low drop Reynolds number conditions. Droplets and polymers’ physical and chemical properties influence the burning/extinguishing behavior and toxic-gas evolution. In general, larger droplets can extinguish a fire in a shorter time, and toxic gas concentrations in a test chamber decreased more rapidly. However, the large droplets tended to cause the flame expansion phenomenon for thermoplastics …

Making The Error Bar Overlap Myth A Reality: Comparative Confidence Intervals, Frank S. Corotto

Georgia Journal of Science

Many interpret error bars to mean that if they do not overlap the difference is statistically “significant”. This overlap rule is really an overlap myth; the rule does not hold true for any conventional type of error bar. There are rules of thumb for estimating P values, but it would be better to show error bars for which the overlap rule holds true. Here I explain how to calculate comparative confidence intervals which, when plotted as error bars, let us judge significance based on overlap or separation. Others have published on these intervals (the mathematical basis goes back to John …

Background Situation, Strategic Suggestions And Future Prospects Of Construction Of New Energy System, Ye Zhu, Shiming Xu, Xiaohua Ding, Haitao Yin, Donglan Zha, Hao Ding, Aimin Zhou, Shun Wan

Bulletin of Chinese Academy of Sciences (Chinese Version)

“We will speed up the planning and development of a system for new energy sources” is a new formulation and new judgment of the 20th National Congress of the Communist Party of China, which points out a new development direction for China's energy industry and has important strategic significance. Standing at a new starting point, how to accurately understand the core essence of the new energy system, what key construction tasks the new energy system contains, what key points standing at a new starting point, following issues, i.e., how to accurately understand the core essence of the new energy system, …

Pathways For Medium- And Long-Term Sustainable Supply Of Typical Strategic Metals In China In Context Of Carbon Neutrality, Xianlai Zeng, Jinhui Li, Yong Geng, Han Hao, Weirun Huang, Xin Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Mineral resources are fundamental materials for economic and social development. Irrational exploration, utilization and consumption not only undermine the security of industrial chain and supply chain, but also seriously damage ecosystem. A new round of technological revolution and carbon neutral strategy is reshaping the global innovation distribution and technical structure. As China's economic and social development advances into post-epidemic stage, the supply and demand structure of strategic metal resources has experienced profound changes. The security challenges extend from traditional security of access to resource to the entire chains, including extraction, processing, use and recycling. China's solid waste generation has grown …

Impact Analysis Of Gpt Technology Revolution On Fundamental Scientific Research, Mengge Sun, Tao Han, Yanpeng Wang, Yuxin Huang, Xiwen Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a …