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Articles 7201 - 7230 of 21213
Full-Text Articles in Social and Behavioral Sciences
Understanding South Dakota Farmers’ Intentions To And Adoption Of Conservation Practices: An Examination Of The Theory Of Planned Behavior, Edem Avemegah
Electronic Theses and Dissertations
Conservation agriculture practice is a sustainable farming method based on three principle: crop diversification, minimal soil disturbance or movement and permanent or semi-permanent of soil cover. Government and stakeholders within the agricultural sector in the United States are promoting conservation farming practices but limited voluntary adoption still exists among producers at the farm level. This research study investigated the factors that influence the adoption of conservation practices among producers in the eastern and central parts of South Dakota (SD). A modified theory of planned behavior (TPB) is used as a framework alongside socioeconomic and demographic indicators to understand farmers’ current …
Into The River Activity: Magnetic Fishing Game, University Of Dayton. Rivers Institute
Into The River Activity: Magnetic Fishing Game, University Of Dayton. Rivers Institute
Rivers Institute Publications
Do-it-yourself game using paper, paper clips, string, magnets and craft sticks.
Into The River, University Of Dayton. River Stewards
Into The River, University Of Dayton. River Stewards
Rivers Institute Publications
This picture book, written by the 2020 cohort of River Stewards for the third-grade reading level, takes readers on a colorful adventure through the Great Miami River.
The writing process began in the fall of 2019 with events with area watershed leaders, educators and children. After children wrote and drew their favorite memories from the river, the River Stewards employed the children’s words and pictures to help articulate the landmarks, lessons and literary elements in the book.
In the spring of 2020, the River Stewards wrote, illustrated and designed the book — a story that incorporates local landmarks, fundamental watershed …
Into The River Activity: Word Search, University Of Dayton. Rivers Institute
Into The River Activity: Word Search, University Of Dayton. Rivers Institute
Rivers Institute Publications
Word search with river-related terms.
Remote Sensing Approaches To Predict Forest Characteristics In Northwest Montana, Ryan P. Rock
Remote Sensing Approaches To Predict Forest Characteristics In Northwest Montana, Ryan P. Rock
Graduate Student Theses, Dissertations, & Professional Papers
Remote sensing can be utilized by land management organizations to save money and time. Mapping vegetation using either aerial photographs or satellite imagery and the applications for forest management are of particular interest to the Montana Department of Natural Resources. In 2018, the organization began a pilot program to test the incorporation of raster analysis of remotely sensed data into their inventory program and had limited success. This analysis identified two areas of improvement: the selection method of inventory plots and the imagery used for classification and metrics. This study found that selecting inventory plots using a generalized random tessellation …
Living Rivers, Cosmopolitan Activism, And Environmental Justice In The Bengal Delta, Daniel Adel
Living Rivers, Cosmopolitan Activism, And Environmental Justice In The Bengal Delta, Daniel Adel
Cal Poly Humboldt theses and projects
This thesis explores the social movements and civil society activism to protect the rivers that flow through Bangladesh—the cradle and terminal delta floodplain of the transboundary Ganges, Brahmaputra, and Meghna river systems—, as well as ways to build regional cooperation and watershed democracy in South Asia. The research drew on four overarching fields of study: environmental justice, southern environmentalism, ecological nationalism, and environmental governance. These four bodies of scholarship helped address the overarching question: how are civil society organizations analyzing and responding to the water diversions and degradation of Bangladesh’s transboundary rivers? Semi-structured interviews were conducted with civil society organizations …
Climate And Surging Of Donjek Glacier, Yukon, Canada, Ellyn M. Enderlin
Climate And Surging Of Donjek Glacier, Yukon, Canada, Ellyn M. Enderlin
Geosciences Faculty Publications and Presentations
Links between climate and glacier surges are poorly understood but are required to enable prediction of surges and mitigation of associated hazards. Here, we investigate the role of snow accumulation, rain, and temperature on surge periodicity, area changes, and timing of surge initiation since the 1930s at Donjek Glacier, Yukon, Canada. Snow accumulation measured in three ice cores collected at Eclipse Icefield indicates that a cumulative accumulation of 15.5 ± 1.46 or 16.6 ± 2.0 m w.e. occurred in the ten to twelve years between each of its last eight surges, depending on ice motion spatiotemporal offset corrections. Although we …
Fishbowl Discussions: Promoting Collaboration Between Mathematics And Partner Disciplines, Stella K. Hofrenning, Rosalyn Hobson Hargraves, Tao Chen, Afroditi Vennie Filippas, Rhonda Fitzgerald, John Hearn, Lori J. Kayes, Joan Kunz, Rebecca Segal
Fishbowl Discussions: Promoting Collaboration Between Mathematics And Partner Disciplines, Stella K. Hofrenning, Rosalyn Hobson Hargraves, Tao Chen, Afroditi Vennie Filippas, Rhonda Fitzgerald, John Hearn, Lori J. Kayes, Joan Kunz, Rebecca Segal
Journal of Mathematics and Science: Collaborative Explorations
A National Consortium for Synergistic Undergraduate Mathematics via Multi-institutional Interdisciplinary Teaching Partnerships project (SUMMIT-P) is a collaboration of institutions focused on revising first- and second-year mathematics courses with the help of partner disciplines with prerequisite mathematics courses. This paper describes the fishbowl discussion technique used by the consortium members to encourage interdisciplinary conversation. Vignettes describing the results of conversations that occurred at several consortium member institutions are provided by the co-authors.
The Journal Of Undergraduate Research: 2019
The Journal Of Undergraduate Research: 2019
The Journal of Undergraduate Research
This is the complete issue of the South Dakota State University Journal of Undergraduate Research, Volume 17.
You Don’T Say... Linguistic Features In Sarcasm Detection, Martina Ducret, Lauren Kruse, Carlos Martinez, Anna Feldman, Jing Peng
You Don’T Say... Linguistic Features In Sarcasm Detection, Martina Ducret, Lauren Kruse, Carlos Martinez, Anna Feldman, Jing Peng
Department of Computer Science Faculty Scholarship and Creative Works
We explore linguistic features that contribute to sarcasm detection. The linguistic features that we investigate are a combination of text and word complexity, stylistic and psychological features. We experiment with sarcastic tweets with and without context. The results of our experiments indicate that contextual information is crucial for sarcasm prediction. One important observation is that sarcastic tweets are typically incongruent with their context in terms of sentiment or emotional load.
Completing The Cycle: Creating A Data Management Services Program, Scott Bacon, Eric Resnis, Ariana Baker
Completing The Cycle: Creating A Data Management Services Program, Scott Bacon, Eric Resnis, Ariana Baker
Library Faculty Presentations
The implementation of Coastal Carolina University’s Data Management Services program is explored in this presentation. Our library continued to see growth in data management support requests from researchers, so we felt the need to programmatically develop data management services to serve those needs. We assembled a Data Management Services Working Group to examine what types of services were being offered at other M1 institutions. A research data management life cycle was then developed to serve as a standard framework. The services we currently offer were then integrated with those we knew our faculty wanted. We also explored services apart from …
Artificial Intelligence-Enhanced Decision Support For Informing Global Sustainable Development: A Human-Centric Ai-Thinking Approach, Meng-Leong How, Sin Mei Cheah, Yong-Jiet Chan, Aik Cheow Khor, Eunice Mei Ping Say
Artificial Intelligence-Enhanced Decision Support For Informing Global Sustainable Development: A Human-Centric Ai-Thinking Approach, Meng-Leong How, Sin Mei Cheah, Yong-Jiet Chan, Aik Cheow Khor, Eunice Mei Ping Say
CCX Research
Sustainable development is crucial to humanity. Utilization of primary socio-environmental data for analysis is essential for informing decision making by policy makers about sustainability in development. Artificial intelligence (AI)-based approaches are useful for analyzing data. However, it was not easy for people who are not trained in computer science to use AI. The significance and novelty of this paper is that it shows how the use of AI can be democratized via a user-friendly human-centric probabilistic reasoning approach. Using this approach, analysts who are not computer scientists can also use AI to analyze sustainability-related EPI data. Further, this human-centric probabilistic …
Assessing Inequitable Urban Heat Islands And Air Pollution Disparities With Low-Cost Sensors In Richmond, Virginia, Andre M. Eanes, Todd R. Lookingbill, Jeremy S. Hoffman, Kelly C. Saverino, Stephen S. Fong
Assessing Inequitable Urban Heat Islands And Air Pollution Disparities With Low-Cost Sensors In Richmond, Virginia, Andre M. Eanes, Todd R. Lookingbill, Jeremy S. Hoffman, Kelly C. Saverino, Stephen S. Fong
Geography and the Environment Faculty Publications
Air pollution and the urban heat island effect are consistently linked to numerous respiratory and heat-related illnesses. Additionally, these stressors disproportionately impact low-income and historically marginalized communities due to their proximity to emissions sources, lack of access to green space, and exposure to other adverse environmental conditions. Here, we use relatively low-cost stationary sensors to analyze PM2.5 and temperature data throughout the city of Richmond, Virginia, on the ten hottest days of 2019. For both hourly means within the ten hottest days of 2019 and daily means for the entire record for the year, the temperature was found to …
Unix Administrator Information Security Policy Compliance: The Influence Of A Focused Seta Workshop And Interactive Security Challenges On Heuristics And Biases, John Palmer Mcconnell
Unix Administrator Information Security Policy Compliance: The Influence Of A Focused Seta Workshop And Interactive Security Challenges On Heuristics And Biases, John Palmer Mcconnell
CCAC Theses and Dissertations
Information Security Policy (ISP) compliance is crucial to the success of healthcare organizations due to security threats and the potential for security breaches. UNIX Administrators (UXAs) in healthcare Information Technology (IT) maintain critical servers that house Protected Health Information (PHI). Their compliance with ISP is crucial to the confidentiality, integrity, and availability of PHI data housed or accessed by their servers. The use of cognitive heuristics and biases may negatively influence threat appraisal, coping appraisal, and ultimately ISP compliance behavior. These failures may result in insufficiently protected servers and put organizations at greater risk of data breaches and financial loss. …
The Social Media Machines: An Investigation Of The Effect Of Trust Moderated By Disinformation On Users’ Decision-Making Process, Zulma Valedon Westney
The Social Media Machines: An Investigation Of The Effect Of Trust Moderated By Disinformation On Users’ Decision-Making Process, Zulma Valedon Westney
CCAC Theses and Dissertations
Social media networking sites (SMNS) have become a popular communications medium where users share information, knowledge, and persuasion. In less than two decades, social media's (SM) dominance as a communication medium can't be disputed, for good or evil. Combined with the newly found immediacy and pervasiveness, these SM applications' persuasive power are useful weapons for organizations, angry customers, employees, actors, and activists bent on attacking or hacking other individuals, institutions, or systems. Consequently, SM has become the preferred default mechanism of news sources; however, users are unsure if the information gathered is true or false. According to the literature, SMNS …
Three Essays On Model Selection, Fangning Li
Three Essays On Model Selection, Fangning Li
Legacy Theses & Dissertations (2009 - 2024)
In empirical research, we often need to address the issue of what model to use given a collection of candidate models. Conventionally, we use model selection to choose one best model from the collection of candidate models based on some model selection criteria. Model averaging is a generalization of model selection in the sense that it assigns weights to candidate models and uses a weighted average to construct an aggregated model. Usually model averaging provides better performance than model selection which chooses a single candidate model based on AIC or BIC.
Smartcitecon: Implicit Citation Context Extraction From Academic Literature Using Unsupervised Learning, Chenrui Gao, Haoran Cui, Li Zhang, Jiamin Wang, Wei Lu, Jian Wu
Smartcitecon: Implicit Citation Context Extraction From Academic Literature Using Unsupervised Learning, Chenrui Gao, Haoran Cui, Li Zhang, Jiamin Wang, Wei Lu, Jian Wu
Computer Science Faculty Publications
We introduce SmartCiteCon (SCC), a Java API for extracting both explicit and implicit citation context from academic literature in English. The tool is built on a Support Vector Machine (SVM) model trained on a set of 7,058 manually annotated citation context sentences, curated from 34,000 papers in the ACL Anthology. The model with 19 features achieves F1=85.6%. SCC supports PDF, XML, and JSON files out-of-box, provided that they are conformed to certain schemas. The API supports single document processing and batch processing in parallel. It takes about 12–45 seconds on average depending on the format to process a …
Acknowledgement Entity Recognition In Cord-19 Papers, Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles, Christopher Griffin
Acknowledgement Entity Recognition In Cord-19 Papers, Jian Wu, Pei Wang, Xin Wei, Sarah Rajtmajer, C. Lee Giles, Christopher Griffin
Computer Science Faculty Publications
Acknowledgements are ubiquitous in scholarly papers. Existing acknowledgement entity recognition methods assume all named entities are acknowledged. Here, we examine the nuances between acknowledged and named entities by analyzing sentence structure. We develop an acknowledgement extraction system, AckExtract based on open-source text mining software and evaluate our method using manually labeled data. AckExtract uses the PDF of a scholarly paper as input and outputs acknowledgement entities. Results show an overall performance of F1=0.92. We built a supplementary database by linking CORD-19 papers with acknowledgement entities extracted by AckExtract including persons and organizations and find that only up to …
Opening Books And The National Corpus Of Graduate Research, William A. Ingram, Edward A. Fox, Jian Wu
Opening Books And The National Corpus Of Graduate Research, William A. Ingram, Edward A. Fox, Jian Wu
Computer Science Faculty Publications
Virginia Tech University Libraries, in collaboration with Virginia Tech Department of Computer Science and Old Dominion University Department of Computer Science, request $505,214 in grant funding for a 3-year project, the goal of which is to bring computational access to book-length documents, demonstrating that with Electronic Theses and Dissertations (ETDs). The project is motivated by the following library and community needs. (1) Despite huge volumes of book-length documents in digital libraries, there is a lack of models offering effective and efficient computational access to these long documents. (2) Nationwide open access services for ETDs generally function at the metadata level. …
Sail: Saliency-Driven Injection Of Aria Landmarks, Ali Selman Aydin, Shirin Feiz, Vikas Ashok, Iv Ramakrishnan
Sail: Saliency-Driven Injection Of Aria Landmarks, Ali Selman Aydin, Shirin Feiz, Vikas Ashok, Iv Ramakrishnan
Computer Science Faculty Publications
Navigating webpages with screen readers is a challenge even with recent improvements in screen reader technologies and the increased adoption of web standards for accessibility, namely ARIA. ARIA landmarks, an important aspect of ARIA, lets screen reader users access different sections of the webpage quickly, by enabling them to skip over blocks of irrelevant or redundant content. However, these landmarks are sporadically and inconsistently used by web developers, and in many cases, even absent in numerous web pages. Therefore, we propose SaIL, a scalable approach that automatically detects the important sections of a web page, and then injects ARIA landmarks …
Mcnair Scholars Research Journal 2020, Michelle X. Bui, Chris Mcdaniels, Jacqueline Bazea-Rubio, Curtis Kizer-Pugh, Eman Alasadi, Ahmed Gure, Helen Hernandez, Archit Jaiswal, Dallas Johnson, Ephrem Kejela, Heather Lake, Charlene Mandimutsira, Paola A. Puentes, Anthony Sajik Ruiz, Richard D. Schargel, Thao-My Tran, Omar Yanouri
Mcnair Scholars Research Journal 2020, Michelle X. Bui, Chris Mcdaniels, Jacqueline Bazea-Rubio, Curtis Kizer-Pugh, Eman Alasadi, Ahmed Gure, Helen Hernandez, Archit Jaiswal, Dallas Johnson, Ephrem Kejela, Heather Lake, Charlene Mandimutsira, Paola A. Puentes, Anthony Sajik Ruiz, Richard D. Schargel, Thao-My Tran, Omar Yanouri
McNair Scholars Research Journal-Archive
No abstract provided.
Optimal Execution In Cryptocurrency Markets, Ethan Kurz
Optimal Execution In Cryptocurrency Markets, Ethan Kurz
CMC Senior Theses
The purpose of this paper is to study the Almgren and Chriss model on the optimal execution of large block orders both on the NYSE and in cryptocurrency exchanges. Their model minimizes execution costs, which include linear temporary and permanent price impacts. We focus on how the stock market microstructure differs from a cryptocurrency exchange microstructure and what that means for how the model functions. Once the model and microstructures are explained, we examine how the Almgren-Chriss model functions with stocks from the NYSE, looking at specifically selling a large number of shares. We then investigate how a large "wholesale" …
K-Means Stock Clustering Analysis Based On Historical Price Movements And Financial Ratios, Shu Bin
K-Means Stock Clustering Analysis Based On Historical Price Movements And Financial Ratios, Shu Bin
CMC Senior Theses
The 2015 article Creating Diversified Portfolios Using Cluster Analysis proposes an algorithm that uses the Sharpe ratio and results from K-means clustering conducted on companies' historical financial ratios to generate stock market portfolios. This project seeks to evaluate the performance of the portfolio-building algorithm during the beginning period of the COVID-19 recession. S&P 500 companies' historical stock price movement and their historical return on assets and asset turnover ratios are used as dissimilarity metrics for K-means clustering. After clustering, stock with the highest Sharpe ratio from each cluster is picked to become a part of the portfolio. The economic and …
On Environmental Law, Climate Change, And National Security Law, Mark P. Nevitt
On Environmental Law, Climate Change, And National Security Law, Mark P. Nevitt
Faculty Articles
This Article offers a new way to think about climate change. Two new climate change assessments—the 2018 Fourth National Climate Assessment (“NCA”) and the United Nations Intergovernmental Panel on Climate Change’s Special Report on Climate Change— prominently highlight climate change’s multifaceted national security risks. Indeed, not only is climate change an environmental problem, it also accelerates existing national security threats, acting as both a “threat accelerant” and “catalyst for conflict.” Further, climate change increases the intensity and frequency of extreme weather events while threatening nations’ territorial integrity and sovereignty through rising sea levels. It causes both internal displacement within nations …
0861: J. Q. Dickinson And Company Records, 1905-1996, Marshall University Special Collections
0861: J. Q. Dickinson And Company Records, 1905-1996, Marshall University Special Collections
Guides to Manuscript Collections
This collection has been divided into three series: Time Logs and Material Production Records, Financial and Transactional Business Records, and Business and Personal Files. Time Logs and Material Production Records include time logs for workers, including tasks completed and rate of pay for both salt, natural gas, and chemical production, as well as production records and statistics for both natural gas and salt. Financial and Transactional Business Records include documents related to the sale of salt, chemicals, coal, and other materials or the purchase of materials by J. Q. Dickinson and Company. Business and Personal Files are divided by client …
Law, Artificial Intelligence, And Natural Language Processing: A Funny Thing Happened On The Way To My Search Results, Paul D. Callister
Law, Artificial Intelligence, And Natural Language Processing: A Funny Thing Happened On The Way To My Search Results, Paul D. Callister
Faculty Works
Renowned legal educator Roscoe Pound stated, “Law must be stable and yet it cannot stand still.” Yet, as Susan Nevelow Mart has demonstrated in a seminal article that the different online research services (Westlaw, Lexis Advance, Fastcase, Google Scholar, Ravel and Casetext) produce significantly different results when researching case law. Furthermore, a recent study of 325 federal courts of appeals decisions, revealed that only 16% of the cases cited in appellate briefs make it into the courts’ opinions. This does not exactly inspire confidence in legal research or its tools to maintain stability of the law. As Robert Berring foresaw, …
Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe
Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe
Engineering Management & Systems Engineering Faculty Publications
Special information has a significant role in disaster management. Land cover mapping can detect short- and long-term changes and monitor the vulnerable habitats. It is an effective evaluation to be included in the disaster management system to protect the conservation areas. The critical visual and statistical information presented to the decision-makers can help in mitigation or adaption before crossing a threshold. This paper aims to contribute in the academic and the practice aspects by offering a potential solution to enhance the disaster data source effectiveness. The key research question that the authors try to answer in this paper is how …
"We Would Ride Safely In The Harbor Of The Future": Historical Parallels Between The Existential Threats Of Yellow Fever And Sea Level Rise In New Orleans And Norfolk, Morris W. Foster, Emily E. Steinhilber
"We Would Ride Safely In The Harbor Of The Future": Historical Parallels Between The Existential Threats Of Yellow Fever And Sea Level Rise In New Orleans And Norfolk, Morris W. Foster, Emily E. Steinhilber
Division of Research and Economic Development Faculty & Staff Publications
The 19th century experiences of Yellow Fever epidemics in New Orleans and Norfolk present historical parallels for how those cities, and others, are experiencing existential threats from climate change and sea level rise in the 21st century. In particular, the 19th century ?Sanitary Reform? movement can be interpreted as a model for challenges facing 21st century ?Climate Resilience? initiatives, including denialism and political obfuscation of scientific debates as well as tensions between short-term profit and the cost of long-term infrastructure investments and between individualism and communitarianism. The history of Sanitary Reform suggests that, at least in the U.S., Climate Resilience …
Water For Fish And Farms: An Examination Of Instream Flow Programs In Montana Using Spatially-Explicit Water Rights Data, Anna Leigh Crockett
Water For Fish And Farms: An Examination Of Instream Flow Programs In Montana Using Spatially-Explicit Water Rights Data, Anna Leigh Crockett
Graduate Student Theses, Dissertations, & Professional Papers
The state-level institutions governing water use in the western United States have increasingly come under pressure and scrutiny related to their inability to navigate water use conflicts in recent decades. Rapid population growth and shifting public values towards leaving water instream for recreational and environmental purposes pose challenges to Montana water supplies which are predominantly allocated for irrigated agriculture. Additionally, while water scarcity and unpredictable availability are not new dilemmas in Montana, the rate at which climate change is driving shifts in the distribution, timing, and availability of water supplies is unprecedented. Current water policies may not be nimble enough …
Understanding The Challenges Child Welfare Workers Encounter Related To Promoting The Online Safety Of Foster Youth, Denielle Kirk L. Abaquita
Understanding The Challenges Child Welfare Workers Encounter Related To Promoting The Online Safety Of Foster Youth, Denielle Kirk L. Abaquita
Honors Undergraduate Theses
Foster care case managers are responsible for the wellbeing of foster youth in the foster care system. Teens (ages 13-17) in foster care are most vulnerable to serious risks, such as sex trafficking. Such risks have been heightened by the advent of internet-based technologies that connect foster youth with unsafe others at unprecedented frequency and speed. This thesis examines how case managers tackle the challenge of online safety as it relates to adolescents in the foster care system in the United States. I conducted 32 semi-structured interviews with case managers who worked with foster teens (ages 13-17) within the past …