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Articles 1021 - 1050 of 8005
Full-Text Articles in Engineering
Developing More Useful Equity Measurements For Flood-Risk Management, Adam Pollack, Casey Helgeson, Carolyn Kousky, Klaus Keller
Developing More Useful Equity Measurements For Flood-Risk Management, Adam Pollack, Casey Helgeson, Carolyn Kousky, Klaus Keller
Dartmouth Scholarship
Decision-makers increasingly invoke equity to motivate, design, implement and evaluate strategies for managing flood risks. Unfortunately, there is little guidance on how analysts can develop measurements that support these tasks. Here we analyse how equity can be defined and measured by surveying 167 peer-reviewed publications that explicitly state an interest in equity in the context of flood-risk management. Our main result is a taxonomy that systematizes how equity has been, and can be, defined and measured in flood-risk research. The taxonomy embodies how equity is a pluralistic and unavoidably ethical concept. Despite this, we find that most quantitative studies fail …
Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd
Supporting Text And Data Analysis Across Campus From The Academic Library, Amy Kirchhoff, Hejin Shin Phd
Digital Initiatives Symposium
The ability to comprehend and communicate with text-based data is essential to future success in academics and employment, as evidenced in a recent survey from Bloomberg Research Services which shows that nearly 97% of survey respondents now use data analytics in their companies and 58% consider data and text mining a business analytics tool (https://www.sas.com/content/dam/SAS/bp_de/doc/studie/ba-st-the-current-state-of-business-analytics-2317022.pdf). This has fueled a substantial growth in text analysis research (involving the use of technology to analyze un- and semi-structured text data for valuable insights, trends, and patterns) across disciplines and a corresponding demand on academic libraries to support text analysis pedagogy and text analysis …
04.29.2024 Orsp Connect, Liz Williamson
04.29.2024 Orsp Connect, Liz Williamson
ORED Newsletter
Locating ORSP training in Blackboard, Marta Panickar, MS Aerospace and Defense Symposium, NSF Common Forms in SciENcv
Designed For Life: Unearthing Just And Sustainable Urban Design Through The Daylighting Of Phalen Creek, Corgan R. Archuleta
Designed For Life: Unearthing Just And Sustainable Urban Design Through The Daylighting Of Phalen Creek, Corgan R. Archuleta
Geography Honors Projects
This thesis conceptualizes a relational approach to urban design. Often separated from justice, I argue urban design can shape spaces to enable respectful and reciprocal human and more-than- human relationships. Focusing on Phalen Creek in Saint Paul, Minnesota, I illuminate just and sustainable possibilities between ecologically sustainable and socially inclusive design. Phalen Creek was a natural waterway buried in a pipe during 20th century urbanization to be partially reconstructed through daylighting. The Indigenous and Immigrant stories driving restoration expand urban design’s liberatory potential. Combining just sustainabilities with infrastructure theory and Indigenous Knowledges, I contend urban design offers a relational approach …
The Santa Clara, 2024-04-26, Santa Clara University
The Santa Clara, 2024-04-26, Santa Clara University
The Santa Clara
No abstract provided.
10-Year Progress Assessment Of Made In China Strategy—Perspective Based On U.S. Publications, Wen Wang, Yujing Shen
10-Year Progress Assessment Of Made In China Strategy—Perspective Based On U.S. Publications, Wen Wang, Yujing Shen
Bulletin of Chinese Academy of Sciences (Chinese Version)
Manufacturing is the foundation and pillar of the national economy, and a key support for achieving high-quality development. Advancing the transformation, upgrading, and innovation-driven development of the manufacturing industry is of utmost importance. At present, China has already completed the first phase of its national strategy to become a manufacturing powerhouse ahead of schedule and is steadily advancing toward that long-term goal. However, the road ahead is likely to be shaped by a complex and volatile international environment and intense strategic competition from the United States. This study evaluates China's strategy to become a manufacturing powerhouse from the perspective of …
Estimating Effects Of Tourism Using Multiple Data Sources: The Miranda Tool As Part Of A Spatial Decision Support System For Sustainable Destination Development, Tobias Heldt
GSTC Academic Symposium - In conjunction with the GSTC Global Conference
Planning for sustainable mobility and destination development in rural areas is increasingly important when tourism grows in numbers. A key to address the challenge of transformation and adaptation of local communities to mitigate adverse effects in seasonal peak hours like traffic congestion, power failure, waste management and sewage flooding, is to properly estimate the number of visitors to a destination.
The problem of estimating tourism numbers is a known challenge since, for example, guest nights statistics are in-complete and non-commercial lodging (sharing solutions) are increasing. Recently, the promising utilization of mobile phone data has emerged as a means to estimate …
A Design Science Approach To Investigating Decentralized Identity Technology, Janelle Krupicka
A Design Science Approach To Investigating Decentralized Identity Technology, Janelle Krupicka
Cybersecurity Undergraduate Research Showcase
The internet needs secure forms of identity authentication to function properly, but identity authentication is not a core part of the internet’s architecture. Instead, approaches to identity verification vary, often using centralized stores of identity information that are targets of cyber attacks. Decentralized identity is a secure way to manage identity online that puts users’ identities in their own hands and that has the potential to become a core part of cybersecurity. However, decentralized identity technology is new and continually evolving, which makes implementing this technology in an organizational setting challenging. This paper suggests that, in the future, decentralized identity …
Chatting With Online Agent, Guoxi Robert Zhang
Chatting With Online Agent, Guoxi Robert Zhang
Honors Theses
This study investigates trust in AI-generated language fluency. Participants engaged with both human and AI-generated content, varying in fluency. Findings were to favor trust in fluent human and AI interactions over disfluent ones. Understanding fluency's impact can inform AI design and encourage critical thinking when dealing with AI-generated content. By using qualitative analysis of think-aloud reports, we examined strategies that people use to assess texts labeled as human-generated and AI-generated content.
04.15.2024 Orsp Connect, Liz Williamson
04.15.2024 Orsp Connect, Liz Williamson
ORED Newsletter
DMP Tool, Jeff Neal, new training module: Budget Basics, new policy Maligned Foreign Talent Recruitment
Excellence Summit 2024, Office Of Research And Sponsored Projects Operations
Excellence Summit 2024, Office Of Research And Sponsored Projects Operations
Excellence Summit (Research Week) Archived Proceedings
In it's 17th year, the University of the Incarnate Word, welcome all to read and review the proceedings of the annual research week. The 2024 Excellence Summit highlighted academic excellence across all schools featuring topics from nutrition studies to soil amendments, artificial intelligence, medical case studies, and music composition studies. The rich mixture of humanities, health sciences, physical sciences, education, and business can be found in this booklet. We thank all that contributed to these works and hope the community enjoys learning from today's and tomorrow's leaders in research, inquiry, and scholarship.
Proposed Charlotte To Atlanta High-Speed Passenger Rail Line: An Economic, Infrastructural, And Developmental Analysis In The Upstate Of South Carolina, Ian C. Macurda, Kimberly Whitehead
Proposed Charlotte To Atlanta High-Speed Passenger Rail Line: An Economic, Infrastructural, And Developmental Analysis In The Upstate Of South Carolina, Ian C. Macurda, Kimberly Whitehead
SC Upstate Research Symposium
This research paper is an in-depth analysis of the high-speed passenger rail line proposed between Charlotte, NC and Atlanta, GA and its impact on the economy, infrastructure, and future development of the Upstate of South Carolina. Currently, passenger rail service between Charlotte and Atlanta is offered on Amtrak at late hours throughout the night on its long-distance passenger rail line The Crescent from New York City, NY to New Orleans, LA. The train is often delayed and is operating at a deficit for Amtrak, like most of their long-distance routes. Traffic on Interstate 85 through the Upstate is another issue …
The Santa Clara, 2024-04-12, Santa Clara University
The Santa Clara, 2024-04-12, Santa Clara University
The Santa Clara
No abstract provided.
Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler
MS in Computer Science Project Reports
In the last two decades various human language learning applications, spaced repetition software, online dictionaries, and artificial intelligent chat agents have been developed. However, there is no solution to cohesively combine these technologies into a comprehensive language learning application including skills such as speaking, typing, listening, and reading. Our contribution is to provide an immersive language learning web application to the end user which combines spaced repetition, a study technique used to review information at systematic intervals, and active recall, the process of purposely retrieving information from memory during a review session, with an artificial intelligent conversational chat agent both …
Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization
Human-Machine Communication: Complete Volume. Volume 7 Special Issue: Mediatization
Human-Machine Communication
This is the complete volume of HMC Volume 7. Special Issue on Mediatization
Artificial Sociality, Simone Natale, Iliana Depounti
Artificial Sociality, Simone Natale, Iliana Depounti
Human-Machine Communication
This article proposes the notion of Artificial Sociality to describe communicative AI technologies that create the impression of social behavior. Existing tools that activate Artificial Sociality include, among others, Large Language Models (LLMs) such as ChatGPT, voice assistants, virtual influencers, socialbots and companion chatbots such as Replika. The article highlights three key issues that are likely to shape present and future debates about these technologies, as well as design practices and regulation efforts: the modelling of human sociality that foregrounds it, the problem of deception and the issue of control from the part of the users. Ethical, social and cultural …
Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen
Mediatization And Human-Machine Communication: Trajectories, Discussions, Perspectives, Andreas Hepp, Göran Bolin, Andrea L. Guzman, Wiebke Loosen
Human-Machine Communication
As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and cultural and societal changes, the much younger field of HMC delves into human meaning-making in interactions with machines. However, the recent wave of “deep mediatization,” characterized by an increasing emphasis on general communicative automation and the rise of communicative AI, highlights a shared interest in technology’s role within human interaction. This introductory article examines the trajectories of both fields, demonstrating how mediatization research “zooms out” from overarching questions of societal and …
04.08.2024 Orsp Connect, Liz Williamson
04.08.2024 Orsp Connect, Liz Williamson
ORED Newsletter
Nature Masterclasses Overview, Mary Lea McMillan, Cost Transfer Policy, NSF Author and Allocation citing
What Effect Does Standards-Based Grading Versus Traditional Grading Have On Standardized Tests For Fifth-Grade Students In Mathematics In Arkansas?, Ruby Dean
ATU Theses and Dissertations 2021 - Present
WHAT EFFECT DOES STANDARDS-BASED GRADING VERSUS TRADITIONAL
GRADING HAVE ON STANDARDIZED TESTS FOR FIFTH GRADE STUDENTS IN MATHEMATICS IN ARKANSAS?
Ruby Earlene Dean
This study examined the effects of standards-based grading and traditional grading on standardized tests for fifth grade students in mathematics in Arkansas. The purpose of the study was to determine whether the type of grading system (traditional or standards-based) used to assess student progress makes a difference on the ACT Aspire results in fifth grade in mathematics. The information gleaned from this study will provide school leaders and teachers with information to make more informed decisions to …
Evolving Hangwuran City Development Model Through Partial Least Square Approach In North-Central Nigeria, Samuel Medayese, Hangwelani H. Magidimisha-Chipungu, Lovemore Chipungu
Evolving Hangwuran City Development Model Through Partial Least Square Approach In North-Central Nigeria, Samuel Medayese, Hangwelani H. Magidimisha-Chipungu, Lovemore Chipungu
CSID Journal of Infrastructure Development
The need for a paradigmatic shift in city development ideology has become increasingly evident over the years. In response to this need, the Hangwurian City Development Model was developed to establish a connection between the concepts of environmental awareness, urban governance, and management. This model also integrates sustainable urban development, urban liveability, and inclusive physical development. The research sets a critical objective of analyzing the significant levels of various indicator variables. The exploratory research utilized partial least squares (PLS) via SmartPLS to evaluate the variables, collecting quantitative data through the open data toolkit from three selected cities: Lokoja, Minna, and …
First-Year Engineering Students And Genai: Experience, Attitudes, Trust, And Ethics., Elisabeth Thomas, Cenetria Crockett, Campbell Rightmyer Bego
First-Year Engineering Students And Genai: Experience, Attitudes, Trust, And Ethics., Elisabeth Thomas, Cenetria Crockett, Campbell Rightmyer Bego
Undergraduate Research Events
Generative AI (GenAI) has the potential to benefit student learning by offering personalized feedback, idea generation, research, and analysis support, writing aid, and administrative support (Chan and Hu, 2023; Zhang, 2023). However, if used inappropriately, the same tools can lead to false/biased content creation and reduced ethical awareness leading to possible academic dishonesty and privacy issues (Schwartz, 2016; Wu, 2023). At this early stage, ethical standards and professorial guidance are unavailable, so it is important to understand what students are thinking about the recent technologies (Shen et al., 2013). Spring 2023 survey results revealed that some students used ChatGPT, a …
Santa Clara Magazine, Volume 65 Number 1, Spring 2024, Santa Clara University
Santa Clara Magazine, Volume 65 Number 1, Spring 2024, Santa Clara University
Santa Clara Magazine
14 - A CAMPUS ON THE RISE Six new buildings on campus aren’t the only changes brought by a successful $1 billion fundraising campaign. Lauren Loftus & Leslie Griffy
20 - HUMAN AT HEART How Santa Clara University is distinguishing itself as a leader in human-focused health care innovation. Lauren Loftus
26 - SHEPHERDING INNOVATION How wonder, and God, can make us better scientists. Brother Guy Consolmagno, S.J.
30 - THE CO-OP Santa Clara University has long been a bastion of interdisciplinary learning. A new fund is taking cross-collaboration to new heights. SCM Staff
34 - MAKE AI THE BEST …
2024- The Twenty-Eighth Annual Symposium Of Student Scholars
2024- The Twenty-Eighth Annual Symposium Of Student Scholars
Symposium of Student Scholars Program Books
The full program book from the 28th Annual Symposium of Student Scholars, held on April 17-19, 2024. Includes abstracts from the presentations and posters.
10 Meters To Disaster: The Challenges Of Premature Application Of Circular Economy Strategies In Jakarta’S Waste Management Structure, Almira Bowo
Independent Study Project (ISP) Collection
Jakarta's complex issue of waste management encompasses a multitude of challenges that include inefficiencies in infrastructure, a lack of public awareness of the consequences of an inadequate waste system, socioeconomic disparities, and a deficiency in intersectoral collaboration. The urgency for holistic and sustainable solutions that prioritize proactive waste collection is underscored by the complexities of these dynamics. This field study paper argues that the attention that is being drawn towards trending waste management innovations, which are reactive strategies, could bring the waste crisis in Jakarta to an even more critical state. The sections will critically examine current waste management efforts …
Preserving Location Authenticity: Multi-Sensor System To Thwart Gps Spoofing In Self-Driving Vehicles, Peng Jiang
Preserving Location Authenticity: Multi-Sensor System To Thwart Gps Spoofing In Self-Driving Vehicles, Peng Jiang
Electrical & Computer Engineering Theses & Dissertations
The ubiquity of the Global Positioning System (GPS) has cemented its role as the cornerstone for an array of location-based services and navigation systems, spanning applications from autonomous vehicles and drones to maritime vessels and wearable technology. Nonetheless, ensuring the integrity of reported geographical coordinates poses a formidable challenge, owing to the proliferation of diverse GPS spoofing tools. This predicament is compounded by the pervasive availability of tools like Fake GPS, Lockito, and software-defined radios, enabling even unsophisticated users to commandeer and disseminate counterfeit GPS coordinates. This dissertation undertakes the task of devising an encompassing and resilient framework, integrating a …
04.01.2024 Orsp Connect, Liz Williamson
04.01.2024 Orsp Connect, Liz Williamson
ORED Newsletter
NSF Conference, Jennifer Baumbaugh, Sustainable Food Packaging research, Export Control Policy Update
Objective.Gg: Uniting Scholastic Esports, Douglas Beirne
Objective.Gg: Uniting Scholastic Esports, Douglas Beirne
Posters - 2024
Objective.gg is a startup recruitment platform within the scholastic esports scene that seeks to unite esports prospects with collegiate esports programs in an effective manner. Objective.gg seeks to accomplish its mission by operating an online platform that allows prospects and collegiate coaches to create their own profiles and connect with one another, building a community in the process. This platform will begin with a free tier, but additional features will be offered through a subscription-based model with two additional pricing tiers to choose from. The online platform will be supported by free online and paid in-person tournaments for Objective.gg platform …
Use Of Mobile Technology To Identify Behavioral Mechanisms Linked To Mental Health Outcomes In Kenya: Protocol For Development And Validation Of A Predictive Model, Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Anthony Ngugi, Srijan Sen, Stephen Wong, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Amina Abubakar, Zul Merali
Use Of Mobile Technology To Identify Behavioral Mechanisms Linked To Mental Health Outcomes In Kenya: Protocol For Development And Validation Of A Predictive Model, Willie Njoroge, Rachel Maina, Frank Elena, Lukoye Atwoli, Anthony Ngugi, Srijan Sen, Stephen Wong, Linda Khakali, Andrew Aballa, James Orwa, Moses Nyongesa, Jasmit Shah, Amina Abubakar, Zul Merali
Brain and Mind Institute
Objective:This study proposes to identify and validate weighted sensor stream signatures that predict near-term risk of a major depressive episode and future mood among healthcare workers in Kenya.
Approach: The study will deploy a mobile application (app) platform and use novel data science analytic approaches (Artificial Intelligence and Machine Learning) to identifying predictors of mental health disorders among 500 randomly sampled healthcare workers from five healthcare facilities in Nairobi, Kenya.
Expectation: This study will lay the basis for creating agile and scalable systems for rapid diagnostics that could inform precise interventions for mitigating depression and ensure a healthy, resilient …
Modeling The Impact Of Connected And Automated Vehicles On Driving Behaviors And Safety: A Driving Simulator Study, Abdalziz Alruwaili
Modeling The Impact Of Connected And Automated Vehicles On Driving Behaviors And Safety: A Driving Simulator Study, Abdalziz Alruwaili
Civil & Environmental Engineering Theses & Dissertations
Connected vehicles (CVs), equipped with advanced sensors, can communicate safety messages to drivers. Automated vehicles (AVs), designed with the ability to automate safety critical control functions, will redefine the traditional role of drivers. This dissertation aims to investigate the impact of connected and automated vehicles (CAVs) on driving behaviors and safety outcomes using data from driving simulator experiments. More specifically, the research objectives include:
1. Modeling the impacts of CVs on driving aggressiveness and situational awareness in highway crash scenarios.
2. Modeling the impacts of CV technologies on driving behaviors and safety outcomes in highway crash scenarios under diverse weather …
Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner
Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner
Honors College Theses
Modern advancements in machine learning are transforming the technological landscape, including information architecture within user experience design. With the unparalleled amount of user data generated on online media platforms and applications, an adjustment in the design process to incorporate machine learning for categorizing the influx of semantic data while maintaining a user-centric structure is essential. Machine learning tools, such as the classification and recommendation system, need to be incorporated into the design for user experience and marketing success. There is a current gap between incorporating the backend modeling algorithms and the frontend information architecture system design together. The aim of …