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Articles 10081 - 10110 of 21237
Full-Text Articles in Social and Behavioral Sciences
Protocol For Surveying Bat Use Of Lava Tube Caves During Winter In Craters Of The Moon National Monument And Preserve, Standard Operating Procedures, Thomas J. Rodhouse, Kathleen Slocum, Todd Stefanic, Shawn Thomas, Meghan Lonneker
Protocol For Surveying Bat Use Of Lava Tube Caves During Winter In Craters Of The Moon National Monument And Preserve, Standard Operating Procedures, Thomas J. Rodhouse, Kathleen Slocum, Todd Stefanic, Shawn Thomas, Meghan Lonneker
United States National Park Service: Publications
Background
The Upper Columbia Basin Network I&M (Inventory and Monitoring) program and Craters of the Moon National Monument and Preserve are collaborating to monitor winter bat use in Arco Tunnel, which is a safely accessed cave in the northern portion of the monument that consistently has been found with the largest number of bats (~30/year) among the set of caves recently inventoried. The standard operating procedures documented here and the methods described in the associated protocol narrative will also be used to periodically inventory other caves within the monument and surrounding preserve as park resources and safety (winter environmental and …
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth
A Novel Approach For Classifying Gene Expression Data Using Topic Modeling, Soon Jye Kho, Himi Yalamanchili, Michael L. Raymer, Amit Sheth
Kno.e.sis Publications
Understanding the role of differential gene expression in cancer etiology and cellular process is a complex problem that continues to pose a challenge due to sheer number of genes and inter-related biological processes involved. In this paper, we employ an unsupervised topic model, Latent Dirichlet Allocation (LDA) to mitigate overfitting of high-dimensionality gene expression data and to facilitate understanding of the associated pathways. LDA has been recently applied for clustering and exploring genomic data but not for classification and prediction. Here, we proposed to use LDA inclustering as well as in classification of cancer and healthy tissues using lung cancer …
Information Technology Approaches To Forest Management, Mary Snow, Richard Snow
Information Technology Approaches To Forest Management, Mary Snow, Richard Snow
Publications
The majority of the world’s forests occur where there is a dry season long enough to affect a seasonal change in the forest community. The seasonal forest may include evergreen, semi-deciduous, deciduous trees, or some combination of these. Local differences in soil or other site characteristics often determine which community persists. Since the seasonal forests exist where there is seasonal precipitation, the character of the forest is closely associated with the length of the rainy season. As the length of the rainy season decreases, the density of the canopy decreases. If the global climate system warms and prolonged drought gives …
Using Remote Sensing To Estimate Crop Water Use To Improve Irrigation Water Management, Arturo Reyes-Gonzalez
Using Remote Sensing To Estimate Crop Water Use To Improve Irrigation Water Management, Arturo Reyes-Gonzalez
Electronic Theses and Dissertations
Irrigation water is scarce. Hence, accurate estimation of crop water use is necessary for proper irrigation managements and water conservation. Satellite-based remote sensing is a tool that can estimate crop water use efficiently. Several models have been developed to estimate crop water requirement or actual evapotranspiration (ETa) using remote sensing. One of them is the Mapping EvapoTranspiration at High Resolution using Internalized Calibration (METRIC) model. This model has been compared with other methods for ET estimations including weighing lysimeters, pan evaporation, Bowen Ratio Energy Balance System (BREBS), Eddy Covariance (EC), and sap flow. However, comparison of METRIC model outputs to …
Assessment Of Watershed Condition And Vulnerability To Forecasted Land-Use/Land-Cover Change In The Northwestern Great Plains Of Western South Dakota, Aaron Suehring
Electronic Theses and Dissertations
A projected increase in global population by mid-century will likely further intensify agricultural practices given future demand for food, increasing the strain on the nation’s aquatic resources. Extensive water quality monitoring will be important in agriculturally dominated regions. The main objectives of this effort were to develop an approach to assess watershed condition and watershed vulnerability to land-use/landcover (LULC) change under multiple scenarios of future development. We used U.S. EPA’s Analytical Tools Interface for Landscape Assessment (ATtILA) to analyze landscape spatial data to determine the condition of wadeable, perennial stream watersheds in the Northwestern Great Plains level III ecoregion of …
Land Surface Phenologies And Seasonalities Using Cool Earthlight In Temperate And Tropical Croplands, Woubet Gashaw Alemu
Land Surface Phenologies And Seasonalities Using Cool Earthlight In Temperate And Tropical Croplands, Woubet Gashaw Alemu
Electronic Theses and Dissertations
In today’s world of increasing food insecurity due to more frequent and extreme events (droughts, floods), a comprehensive understanding of global cropland dynamics is critically needed. Land surface parameters derived from the passive microwave Advanced Microwave Scanning Radiometer on EOS (AMSR-E) and AMSR2 data enable monitoring of cropland dynamics and they can complement visible to near infrared (VNIR) and thermal infrared (TIR) data. Passive microwave data are less sensitive to atmospheric effects, cloud contamination, and solar illumination constraints resulting in finer temporal resolution suitable to track the temporal progression of cropland cover development compared to the VNIR data that has …
Social Justice In Social-Ecological Systems: Resilience Through Stakeholder Engagement, Frederick I. Lauer
Social Justice In Social-Ecological Systems: Resilience Through Stakeholder Engagement, Frederick I. Lauer
Graduate Student Theses, Dissertations, & Professional Papers
Successful management of social-ecological systems (SES) is predicated on quality collaborative exchanges between project stakeholders and management. The Southwest Crown of the Continent Collaborative (SWCC) Collaborative Forest Landscape Restoration Program (CFLRP) provided an opportunity to explore landscape scale collaborative management and SES outcomes. Global change and future uncertainty of landscapes prompted the SWCC to employ restoration treatment alternatives throughout 1.4 million acres of forests, most of which are publicly held. The SWCC currently monitors environmental and economic variables, with plans to monitor social variables. This thesis formalizes a proposed framework to investigate SES resilience, and explores public engagement as an …
America's National Parks And The Anthropocene: Addressing The Present To Accommodate The Future In Acadia National Park, Sophie A. Swetz
America's National Parks And The Anthropocene: Addressing The Present To Accommodate The Future In Acadia National Park, Sophie A. Swetz
Honors Theses
In 2000, atmospheric chemist, Paul J. Crutzen, and limnologist, Eugene Stoermer, formally proposed the idea of “the Anthropocene,” a new geologic epoch in which humans are the dominant force shaping the Earth. To claim the Anthropocene's existence is to declare that human actions have altered the Earth in such a way that geologic indicators render it a distinct epoch in the stratification of geologic time. This new epoch emerges as a consequence of increased technological development employed to accommodate an anthropocentric human existence. That is, rapid advancements in technology have driven the transformation from a primarily naturally controlled planet to …
Approximate Bayesian Computation In Forensic Science, Jessie H. Hendricks
Approximate Bayesian Computation In Forensic Science, Jessie H. Hendricks
The Journal of Undergraduate Research
Forensic evidence is often an important factor in criminal investigations. Analyzing evidence in an objective way involves the use of statistics. However, many evidence types (i.e., glass fragments, fingerprints, shoe impressions) are very complex. This makes the use of statistical methods, such as model selection in Bayesian inference, extremely difficult.
Approximate Bayesian Computation is an algorithmic method in Bayesian analysis that can be used for model selection. It is especially useful because it can be used to assign a Bayes Factor without the need to directly evaluate the exact likelihood function - a difficult task for complex data. Several criticisms …
Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko
Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko
Walden Dissertations and Doctoral Studies
Inadequate software development collaboration processes can allow technical debt to accumulate increasing future maintenance costs and the chance of system failures. The purpose of this qualitative case study was to explore collaboration strategies software development leaders use to reduce the amount of technical debt created by software developers. The study population was software development leaders experienced with collaboration and technical debt at a large health care provider in the state of California. The data collection process included interviews with 8 software development leaders and reviewing 19 organizational documents relating to software development methods. The extended technology acceptance model was used …
Environment And Sustainability In Nevada, Jennifer Stevens, Genevieve Minter, Robert Futrell
Environment And Sustainability In Nevada, Jennifer Stevens, Genevieve Minter, Robert Futrell
Social Health of Nevada Reports
When the inaugural Earth Day launched the first environmental decade in the U.S. more than forty years ago, protecting our air, water, land and other natural resources seemed a relatively straightforward task. Environmental polluters and exploiters would be brought to heel by tough laws. The U.S. and other industrialized nations responded to quality of life concerns associated with environmental degradation by adopting dozens of major environmental and resource policies and creating new institutions such as the U.S. Environmental Protection Agency to manage environmental programs. Following these national developments, states and local communities began systematic efforts to address environmental problems.
What …
Unlv Title Iii Aanapisi & Mcnair Scholars Institute Research Journal, Nir Herscovici, Joyce Hsu, Matthew Khumnark, Joy Lamug, Jeong Lim Lee, Kendall Lyons, Andrea Mandril, Niroshini Moodley, Eric Ng, Timothy Ogburn, Andrew A. Ortiz, Emily Khanh Pham, Nha Trang Vivian Sam, Devlynn Scarpati, Olivia Tsang, Termaine Antonio Turner Ii, Pang Kou Vang, Kanisha Wilson, Shannon Zayas, Claudia Chiang-Lopez, Victoria Copeland, Andrea Darby, Bridgett Giordmaina, Briceida Hernandez-Toledo, Mark Larubio, Ana Lesquives, Yessenia Madrigal, Summer Millwood, Angel Mims, Blaine Pennock, Katie Randolph, Amber K. Stephens, Sarah Werman, Eben-Ezer Arias-Garcia, Ernesto H. Bedoy, Royale Cannon, Irma De Santiago, Lorraine Louise K. Francisco, Imani A. Gayden, Jeffrey Gonzalez, Isaiah Shornell Henry, Ashley C. Lee, Marielle Leo, Elizabeth Ochoa, Bernajane Palisoc, Sean Tanzey, Howard Yanxon
Unlv Title Iii Aanapisi & Mcnair Scholars Institute Research Journal, Nir Herscovici, Joyce Hsu, Matthew Khumnark, Joy Lamug, Jeong Lim Lee, Kendall Lyons, Andrea Mandril, Niroshini Moodley, Eric Ng, Timothy Ogburn, Andrew A. Ortiz, Emily Khanh Pham, Nha Trang Vivian Sam, Devlynn Scarpati, Olivia Tsang, Termaine Antonio Turner Ii, Pang Kou Vang, Kanisha Wilson, Shannon Zayas, Claudia Chiang-Lopez, Victoria Copeland, Andrea Darby, Bridgett Giordmaina, Briceida Hernandez-Toledo, Mark Larubio, Ana Lesquives, Yessenia Madrigal, Summer Millwood, Angel Mims, Blaine Pennock, Katie Randolph, Amber K. Stephens, Sarah Werman, Eben-Ezer Arias-Garcia, Ernesto H. Bedoy, Royale Cannon, Irma De Santiago, Lorraine Louise K. Francisco, Imani A. Gayden, Jeffrey Gonzalez, Isaiah Shornell Henry, Ashley C. Lee, Marielle Leo, Elizabeth Ochoa, Bernajane Palisoc, Sean Tanzey, Howard Yanxon
McNair Journal
Journal articles based on research conducted by undergraduate students in the AANAPISI and McNair Scholars Programs
Table of Contents
About AANAPISI
Biography of Dr. Ronald E. McNair
Statements
Dr. Len Jessup, UNLV President
Dr. Juanita P. Fain, Vice President for Student Affairs
Dr. William W. Sullivan, Associate Vice President for Retention and Outreach
Mr. Keith Rogers, Deputy Executive Director of the Center for Academic Enrichment and Outreach
Title III AANAPISI and McNair Scholars Institute Staff
Ms. Terri Bernstein, Director for College Programs
Dr. Matthew Della Sala, Assistant Director for Undergraduate Research
The Last Best Hope: Are Voluntary Conservation Agreements Effective Tools For Protecting Imperiled Species?, Sophie B. Tsairis
The Last Best Hope: Are Voluntary Conservation Agreements Effective Tools For Protecting Imperiled Species?, Sophie B. Tsairis
Graduate Student Theses, Dissertations, & Professional Papers
Candidate Conservation Agreements with Assurances, or CCAAs, are little known, voluntary conservation agreements that protect imperiled wildlife on private lands. These agreements have emerged over the past decade and have had mixed results in providing adequate protections for candidate species.
Landowners, private industries, state and federal agencies, and environmental nonprofits, are using CCAAs as tools to eliminate the need for an endangered species listing. An Endangered Species Act listing can lead to land-use uncertainty for private landowners and this threat is the main incentive to enroll in a CCAA. When landowners enroll in CCAAs they are agreeing to provide specific …
Availability Of Datasets For Digital Forensics–And What Is Missing, Cinthya Grajeda, Frank Breitinger, Ibrahim Baggili
Availability Of Datasets For Digital Forensics–And What Is Missing, Cinthya Grajeda, Frank Breitinger, Ibrahim Baggili
Electrical & Computer Engineering and Computer Science Faculty Publications
This paper targets two main goals. First, we want to provide an overview of available datasets that can be used by researchers and where to find them. Second, we want to stress the importance of sharing datasets to allow researchers to replicate results and improve the state of the art. To answer the first goal, we analyzed 715 peer-reviewed research articles from 2010 to 2015 with focus and relevance to digital forensics to see what datasets are available and focused on three major aspects: (1) the origin of the dataset (e.g., real world vs. synthetic), (2) if datasets were released …
Automatic Idiom Recognition With Word Embeddings, Jing Peng, Anna Feldman
Automatic Idiom Recognition With Word Embeddings, Jing Peng, Anna Feldman
Department of Computer Science Faculty Scholarship and Creative Works
Expressions, such as add fuel to the fire, can be interpreted literally or idiomatically depending on the context they occur in. Many Natural Language Processing applications could improve their performance if idiom recognition were improved. Our approach is based on the idea that idioms and their literal counterparts do not appear in the same contexts. We propose two approaches: (1) Compute inner product of context word vectors with the vector representing a target expression. Since literal vectors predict well local contexts, their inner product with contexts should be larger than idiomatic ones, thereby telling apart literals from idioms; and (2) …
Heterogeneous Nitrogen Losses: Cost-Effectiveness Analysis Of Changes In Management Across South Dakota, Archibold Quaye
Heterogeneous Nitrogen Losses: Cost-Effectiveness Analysis Of Changes In Management Across South Dakota, Archibold Quaye
Electronic Theses and Dissertations
The loss of nitrogen fertilizer into the atmosphere and waterways is of increasing concern for citizens and policy makers. This is particularly relevant for hypoxia in rivers, lakes, and oceans, but also relevant for policy makers in reducing the increasing concentration of greenhouse gases (GHG) in the atmosphere. GHGs trap heat in the atmosphere and include: carbon dioxide, methane, nitrous oxide and fluorinated gases. Overall, the estimated contribution from the agricultural sector to GHG emissions was 9% in 2013 (EPA, 2013). Further, the addition of nitrogen to the soil through the use of synthetic fertilizers is a main contributor to …
Bayesian Exponential Random Graph Modelling Of Interhospital Patient Referral Networks, Alberto Caimo, Francesca Pallotti, Alessandro Lomi
Bayesian Exponential Random Graph Modelling Of Interhospital Patient Referral Networks, Alberto Caimo, Francesca Pallotti, Alessandro Lomi
Articles
Using original data that we have collected on referral relations between 110 hospitals serving a large regional community, we show how recently derived Bayesian exponential random graph models may be adopted to illuminate core empirical issues in research on relational coordination among healthcare organisations. We show how a rigorous Bayesian computation approach supports a fully probabilistic analytical framework that alleviates well-known problems in the estimation of model parameters of exponential random graph models. We also show how the main structural features of interhospital patient referral networks that prior studies have described can be reproduced with accuracy by specifying the system …
Accounting For Locational, Temporal, And Physical Similarity Of Residential Sales In Mass Appraisal Modeling: The Development And Application Of Geographically, Temporally, And Characteristically Weighted Regression, Paul E. Bidanset, Michael Mccord, John R. Lombard, Peadar Davis, William J. Mccluskey
Accounting For Locational, Temporal, And Physical Similarity Of Residential Sales In Mass Appraisal Modeling: The Development And Application Of Geographically, Temporally, And Characteristically Weighted Regression, Paul E. Bidanset, Michael Mccord, John R. Lombard, Peadar Davis, William J. Mccluskey
School of Public Service Faculty Publications
Geographically weighted regression (GWR) has been recognized in the assessment community as a viable automated valuation model (AVM) to help overcome, at least in part, modeling hurdles associated with location, such as spatial heterogeneity and spatial autocorrelation of error terms. Although previous researchers have adjusted the GWR weights matrix to also weight by time of sale or by structural similarity of properties in AVMs, the research described in this paper is the first that has done so by all three dimensions (i.e., location, structural similarity, and time of sale) simultaneously. Using 24 years of single-family residential sales in Fairfax, Virginia, …
State Dependency Of The Forest-Tundra-Short Wave Feedback : Comparing The Mid-Pliocene And Pre-Industrial Eras Using A Newly-Developed Vegetation Model, Pablo Paiewonsky
State Dependency Of The Forest-Tundra-Short Wave Feedback : Comparing The Mid-Pliocene And Pre-Industrial Eras Using A Newly-Developed Vegetation Model, Pablo Paiewonsky
Legacy Theses & Dissertations (2009 - 2024)
The forest-tundra-short wave feedback is the dominant short wave (SW) vegetation feedback at mid-to-high northern latitudes and is an important feedback in Earth’s climate system, especially due to its potential role in modulating glacial cycles. Little research has been done on how the strength of this feedback might vary with the background climate state. It is hypothesized that the feedback has generally strengthened over the last four million years. The feedback mechanism is hypothesized to be weaker under warm Northern Hemispheric conditions when tundra is primarily confined to the high Arctic than under cooler conditions in which the forest-tundra boundary …
Determination And Analysis Of Dscovr-Eipc Satellite-Retrieved Radiance From Cloud Geometric And Optical Properties, Emily Christine Morgan
Determination And Analysis Of Dscovr-Eipc Satellite-Retrieved Radiance From Cloud Geometric And Optical Properties, Emily Christine Morgan
Legacy Theses & Dissertations (2009 - 2024)
Using simulations and numerical fitting, this work sought to describe the satellite-retrieved radiance of clouds as a function of their thermodynamic and optical properties. Subsequently, this understanding can then be used in a look-up-table to determine the properties of clouds imaged by the EPIC sensor in the NASA DSCOVR satellite. In this study, background oxygen absorption was modeled in a radiative transfer model and convolved with EPIC filter functions for two absorption-reference pairs for Oxygen A- and B-band. This absorption profile was established as the primary vertical coordinate in this study, leveraging the similarity principle to allow for intercomparison of …
Mechanisms For Cross-Scaling, Flexibility And Social Learning In Building Resilience To Sea Level Rise: Case Study Of Hampton Roads, Virginia, Carol Considine, Michelle Covi, Juita-Elena (Wie) Yusuf
Mechanisms For Cross-Scaling, Flexibility And Social Learning In Building Resilience To Sea Level Rise: Case Study Of Hampton Roads, Virginia, Carol Considine, Michelle Covi, Juita-Elena (Wie) Yusuf
Engineering Technology Faculty Publications
This case study examines how the Hampton Roads Sea Level Rise Preparedness and Resilience Intergovernmental Planning Pilot Project, a whole-of-government and whole-of-community approach to planning for and adapting to sea level rise, addressed coastal resilience in a southeastern Virginia watershed that spans multiple jurisdictions. Meeting the challenge of sea level rise requires that actors across multiple sectors—citizens, community organizations, industry and government—understand the risks and work together to make critical decisions regarding adaptation strategies and actions. The case study area includes Little Creek Amphibious Base, which is bordered by the cities of Norfolk and Virginia Beach. Adaptation responses to sea …
How China Is Preparing For An Ai-Powered Future, Yujia He
How China Is Preparing For An Ai-Powered Future, Yujia He
Patterson School of Diplomacy and International Commerce Faculty Publications
U.S. leadership in artificial intelligence (AI) research and development (R&D) may be challenged by China’s recent and centralized policy planning aimed at rapidly developing AI-related technologies. The Chinese government supports AI as a strategic area supported by high-level policies with ambitious and quantifiable targets, inter-ministry coordination, government funding for research and development, support for workforce development, and suggestions for international collaboration and expansion. Still, as a relative latecomer in the global AI race, China faces numerous challenges to implement its policy planning, including short-term skills gap and long-term institutional constraints.
Survey Results: Complexities And Overlaps In Existing Citizen Science Mosquito Projects, Yujia He, Elizabeth Tyson
Survey Results: Complexities And Overlaps In Existing Citizen Science Mosquito Projects, Yujia He, Elizabeth Tyson
Patterson School of Diplomacy and International Commerce Faculty Publications
Currently, multiple projects worldwide engage the public in the scientific process of learning about mosquito biodiversity or monitoring mosquitoes that carry diseases like Dengue, Chikungunya, Zika and Malaria. These projects are executed at different invasion-stages and different scenarios of epidemiological risk based on their country of origin. Through surveying 12 international research teams, this brief report illuminates the differences and the overlaps in the protocols and tools used by existing citizen science mosquito monitoring projects. The analysis covers project goals, requirements and support for participants, policy impact, digital tools and data privacy.
More Than Food: An Analysis Of Multidimensional Relationships In Our Food System, Jessica Erin Newnan
More Than Food: An Analysis Of Multidimensional Relationships In Our Food System, Jessica Erin Newnan
Honors Theses and Capstones
Food is an integral part of everyday life for human beings, thus meriting particular attention from research and education. Looking further in depth at the factors that influence food, it becomes apparent that this is a complex topic that is related to several systems within the constructs of society. Here, the food system is approached with the understanding that several systems influence food consumption options and decisions including the agricultural, economic, education, energy, health, and political systems. To identify the relationships more closely, a three-dimensional model was built to represent the food system and depict several key factors, their relationships, …
The Influence Of The Physical Workspace On Creative Performance: Alternative Mediation Models, Reed James Bramble
The Influence Of The Physical Workspace On Creative Performance: Alternative Mediation Models, Reed James Bramble
Wayne State University Theses
The present study assessed how individuals respond to stimuli in their immediate work environment. Specifically, I conducted a laboratory experiment with a student sample to test the influence of natural stimuli in the workspace on individuals’ creative performance. Additionally, I tested a series of potential mediating variables that could have driven the effect: state positive affect, state openness to experience, and self-regulation of effort. While the results indicated that the hypotheses were broadly unsupported, supplemental analyses revealed that the intervention significantly predicted effort regulation in a high-performing subgroup. Study limitations and recommendations for future directions are discussed.
An Empirical Demonstration Of The Need For Exact Tests, Vance W. Berger
An Empirical Demonstration Of The Need For Exact Tests, Vance W. Berger
Journal of Modern Applied Statistical Methods
The robustness of parametric analyses is rarely questioned or qualified. Robustness, generally understood, means the exact and approximate p-values will lie on the same side of alpha for any reasonable data set; and 1) any data set would qualify as reasonable and 2) robustness holds universally, for all alpha levels and approximations. For this to be true, the approximation would need to be perfect all of the time. Any discrepancy between the approximation and the exact p-value, for any combination of alpha level and data set, would constitute a violation. Clearly, this is not true, and when confronted with this …
Teaching Size And Power Properties Of Hypothesis Tests Through Simulations, Suleyman Taspinar, Osman Dogan
Teaching Size And Power Properties Of Hypothesis Tests Through Simulations, Suleyman Taspinar, Osman Dogan
Publications and Research
In this study, we review the graphical methods suggested in Davidson and MacKinnon (Davidson, Russell, and James G. MacKinnon. 1998. “Graphical Methods for Investigating the Size and Power of Hypothesis Tests.” The Manchester School 66 (1): 1–26.) that can be used to investigate size and power properties of hypothesis tests for undergraduate and graduate econometrics courses. These methods can be used to assess finite sample properties of various hypothesis tests through simulation studies. In addition, these methods can be effectively used in classrooms to reinforce students’ understanding of basic hypothesis testing concepts such as Type I error, Type II error, …
A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran
A Semantics-Based Measure Of Emoji Similarity, Sanjaya Wijeratne, Lakshika Balasuriya, Amit Sheth, Derek Doran
Kno.e.sis Publications
Emoji have grown to become one of the most important forms of communication on the web. With its widespread use, measuring the similarity of emoji has become an important problem for contemporary text processing since it lies at the heart of sentiment analysis, search, and interface design tasks. This paper presents a comprehensive analysis of the semantic similarity of emoji through embedding models that are learned over machine-readable emoji meanings in the EmojiNet knowledge base. Using emoji descriptions, emoji sense labels and emoji sense definitions, and with different training corpora obtained from Twitter and Google News, we develop and test …
Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth
Identifying Depressive Disorder In The Twitter Population, Goonmeet Bajaj, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth
Kno.e.sis Publications
Depression is a highly prevalent public health challenge and a major cause of disability across the globe.
- Annually 6.7% of Americans (that is, more than 16 million).
- Traditional approaches to curb depression involve survey·based methods via phone or online questionnaires.
- Large temporal gaps and cognitive bias.
Social media provides a method for learning users' feelings, emotions, behaviors, and decisions in real-time.
Agricultural Adaptation To Climate Change: How Risk Influences Decision-Making, Brandon Araujo
Agricultural Adaptation To Climate Change: How Risk Influences Decision-Making, Brandon Araujo
UNF Graduate Theses and Dissertations
Climate change is currently threatening the livelihoods of farmers in developing countries. Psychological models have been developed to identify factors associated with adapting to climate change; however, little work has investigated the role of farmers’ risk attitudes in these models. We assessed perceptions of adaptation cost and adaptation intentions for five drought- specific adaptive behaviors among 550 farmers from 12 villages in the dry zone of Sri Lanka, as well as their attitudes toward risk. Results suggest that perceived adaptation cost and risk attitude are negatively associated with adaptation intentions. The conditional effect of adaptation cost on adaptation intention as …