Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics

PDF

Institution
Keyword
Publication Year
Publication
Publication Type

Articles 1 - 30 of 17965

Full-Text Articles in Social and Behavioral Sciences

Comparing Uganda's Indigenous Soil Classification System With World Reference Base And Usda Soil Taxonomy To Predict Soil Productivity, Stewart Kyebogola, C. Lee Burras, Bradley A. Miller, Onesimus Semalulu, Russell S. Yost, Moses M. Tenywa, Andrew W. Lenssen, Prossy Kyomuhendo, Christopher Smith, Charles K. Luswata, Mwanjalolo J. Gilbert Majaliwa, Lance Goettsch, Carol J. Pierce Colfer, Robert E. Mazur Sep 2020

Comparing Uganda's Indigenous Soil Classification System With World Reference Base And Usda Soil Taxonomy To Predict Soil Productivity, Stewart Kyebogola, C. Lee Burras, Bradley A. Miller, Onesimus Semalulu, Russell S. Yost, Moses M. Tenywa, Andrew W. Lenssen, Prossy Kyomuhendo, Christopher Smith, Charles K. Luswata, Mwanjalolo J. Gilbert Majaliwa, Lance Goettsch, Carol J. Pierce Colfer, Robert E. Mazur

Agronomy Publications

This study examines three soil classification systems - Buganda, World Reference Base, and US Soil Taxonomy - in order to evaluate their relative strengths and feasibility for making linkages between them. Nine field sites and 16 pedons were considered across the soil landscapes of the Buganda catena. Each identified field pedon diagnostic horizons and characteristics were described and their soils analyzed using standard pedological techniques and measurements. To document the indigenous use of the Buganda classification system, interviews and discussions were held with farmer groups and local extension specialists. Using this local expertise, five local soil units were identified. We also identified ...


Get The News Out Loudly And Quickly: Modeling The Influence Of The Media On Limiting Infectious Disease, Anna Mummert, Howard Weiss Aug 2020

Get The News Out Loudly And Quickly: Modeling The Influence Of The Media On Limiting Infectious Disease, Anna Mummert, Howard Weiss

Mathematics Faculty Research

During outbreaks of infectious diseases with high morbidity and mortality, individuals closely follow media reports of the outbreak. Many will attempt to minimize contacts with other individuals in order to protect themselves from infection and possibly death. This process is called social distancing. Social distancing strategies include restricting socializing and travel, and using barrier protections. We use modeling to show that for short-term outbreaks, social distancing can have a large influence on reducing outbreak morbidity and mortality. In particular, public health agencies working together with the media can significantly reduce the severity of an outbreak by providing timely accounts of ...


Lulling Waters: A Poetry Reading For Real-Time Music Generation Through Emotion Mapping, Ashley Muniz, Toshihisa Tsuruoka Jul 2020

Lulling Waters: A Poetry Reading For Real-Time Music Generation Through Emotion Mapping, Ashley Muniz, Toshihisa Tsuruoka

Electronic Literature Organization Conference 2020

Through a poetic narrative, “Lulling Waters” tells the story of a whale overcoming the loss of his mother, who passed away from ingesting plastic, as he attempts to escape from the polluted oceanic world. The live performance of this poem utilizes a software system called Soundwriter, which was developed with the goal of enriching the oral storytelling experience through music. This video demonstrates how Soundwriter’s real-time hybrid system was able to analyze “Lulling Waters” through its lexical and auditory features. Emotionally salient words were given ratings based on arousal, valence, and dominance while the emotionally charged prosodic features of ...


Poetry For Seers Or The Peruvian Visual Poetic Tradition In Front Of New Media, Michael Hurtado, Pamela Medina, Enrique García, Michael Prado Jul 2020

Poetry For Seers Or The Peruvian Visual Poetic Tradition In Front Of New Media, Michael Hurtado, Pamela Medina, Enrique García, Michael Prado

Electronic Literature Organization Conference 2020

Since the first decades of the twentieth century, Peruvian poetic tradition has been characterized by experimental uses of language. Among these possibilities, some records tensioned this medium from the link with the plastic arts, as in the case of the poetry of José María Eguren, while others opted for the playing with the spatiality and visuality of the blank sheet, such as in the case of the work of Carlos Oquendo de Amat. However, it is not until the appearance of the poetry of César Vallejo, specifically with a poems like Trilce in 1922, that these breakages force us to ...


From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar Jul 2020

From Ai With Love: Reading Big Data Poetry Through Gilbert Simondon’S Theory Of Transduction, Andrew Klobucar

Electronic Literature Organization Conference 2020

Computation initiated a far-reaching re-imagination of language, not just as an information tool, but as a social, bio-physical activity in general. Modern lexicology provides an important overview of the ongoing development of textual documentation and its applications in relation to language and linguistics. At the same time, the evolution of lexical tools from the first dictionaries and graphs to algorithmically generated scatter plots of live online interaction patterns has been surprisingly swift. Modern communication and information studies from Norbert Weiner to the present-day support direct parallels between coding and linguistic systems. However, most theories of computation as a model of ...


Analytical Scuc/Sced Optimization Formulation For Ames V5.0, Leigh Tesfatsion, Swathi Battula Jul 2020

Analytical Scuc/Sced Optimization Formulation For Ames V5.0, Leigh Tesfatsion, Swathi Battula

Economics Working Papers

U.S. centrally-managed wholesale power markets currently rely on Security-Constrained Unit Commitment (SCUC) and Security Constrained Economic Dispatch (SCED) optimizations to determine unit commitments, reserve, and scheduled dispatch levels for generating units during future operating periods. AMES V5.0 is an open source Java/Python platform that implements a combined SCUC/SCED optimization capturing salient features of these actual market SCUC/SCED optimizations. This report provides extensive documentation for the analytical formulation of the AMES V5.0 SCUC/SCED optimization.


Green To Gray: Political Ecology Of Paving Over Green Spaces In Moscow, Russia, Mikhail S. Blinnikov, Liudmila Volkova Jun 2020

Green To Gray: Political Ecology Of Paving Over Green Spaces In Moscow, Russia, Mikhail S. Blinnikov, Liudmila Volkova

International Journal of Geospatial and Environmental Research

Moscow, Russia is the largest city in Europe with over 12.6 million residents. The remarkable fact is that it is also a biologically diverse ecosystem with a few dozen specially protected natural areas, including 15 large forest parks and a variety of smaller nature-places. The recent landscaping “improvements” conducted by the Moscow government since 2010 greatly increased negative impacts on the green infrastructure, e.g., a lot more paving, systematic grass mowing, widespread planting of exotic plant species, increased residential and commercial construction, more noise, etc. While quantification of the impacts of the above on the biota is not ...


Gather, Educate, Prepare: Libraries As Champions To Build Informed And Climate-Resilient Communities, Adrian K. Ho, René Tanner, Monika Antonelli Jun 2020

Gather, Educate, Prepare: Libraries As Champions To Build Informed And Climate-Resilient Communities, Adrian K. Ho, René Tanner, Monika Antonelli

Library Presentations

The past few years have witnessed increasing numbers of discussions and programs about the impacts of climate change, addressing topics from the devastating wildfires in California, relentless heat waves in Europe, to the accelerating thaw of the ice sheet in Greenland. The media has described the social atmosphere using such terms as climate angst, ecological grief, and existential crisis. Weighed down by a steady stream of climate news, some people have sought professional help for guidance on tackling emotional responses to natural disasters and climate trauma. Meanwhile, many of us are wondering what can be done. As a central player ...


A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang Jun 2020

A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang

International Journal of Geospatial and Environmental Research

Vulnerability assessments are implemented to identify regions and groups at risk and factors that need to be addressed to reduce vulnerability. Existing assessments have allowed multidimensional factors to be examined in various settings and adopted complex models to simulate human-environment-weather interactions. However, these models are far less accessible than traditional models due to model abstraction and there has been limited research detailing a formalized way to simulate the interactions between rural households and external changes in response to a specific extreme weather event. To supplement applied efforts in vulnerability assessments and address the challenge in communicating agent-based models, this study ...


Introduction To The R-Package: Usdampr, Elliott James Dennis, Bowen Chen Jun 2020

Introduction To The R-Package: Usdampr, Elliott James Dennis, Bowen Chen

Extension Farm and Ranch Management

Why the Need for the Package? In the 1990’s, concern over growing packer concentration and a hog industry market shock resulted in discontent among producers and packers. As a result, the United States Congress passed the Livestock Mandatory Reporting Act of 1999 (1999 Act) [Pub. L. 106-78, Title IX] which is required to be reauthorized every five years. See here for a full history of the Livestock Mandatory Reporting Background.

Market reports were publicly issued in the form of .txt files with varying frequency from April 2000 to April 2020. Current and historical data were also housed in a ...


Literature Review: How U.S. Government Documents Are Addressing The Increasing National Security Implications Of Artificial Intelligence, Bert Chapman Jun 2020

Literature Review: How U.S. Government Documents Are Addressing The Increasing National Security Implications Of Artificial Intelligence, Bert Chapman

Libraries Faculty and Staff Scholarship and Research

This article emphasizes the increasing importance of artificial intelligence (AI) in military and national security policy making. It seeks to inform interested individuals about the proliferation of publicly accessible U.S. government and military literature on this multifaceted topic. An additional objective of this endeavor is encouraging greater public awareness of and participation in emerging public policy debate on AI's moral and national security implications..


Mapping And Describing Geospatial Data To Generalize Complex Models: The Case Of Littosim-Gen, Ahmed Laatabi, Nicolas Becu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, Xavier Bertin, Brice Anselme, Elise Beck Jun 2020

Mapping And Describing Geospatial Data To Generalize Complex Models: The Case Of Littosim-Gen, Ahmed Laatabi, Nicolas Becu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, Xavier Bertin, Brice Anselme, Elise Beck

International Journal of Geospatial and Environmental Research

For some scientific questions, empirical data are essential to develop reliable simulation models. These data usually come from different sources with diverse and heterogeneous formats. The design of complex data-driven models is often shaped by the structure of the data available in research projects. Hence, applying such models to other case studies requires either to get similar data or to transform new data to fit the model inputs. It is the case of agent-based models (ABMs) that use advanced data structures such as Geographic Information Systems data. We faced this problem in the LittoSIM-GEN project when generalizing our participatory flooding ...


An Assessment Of Global Research Activities On Children And Adolescent Online Security, Adeola O. Opesade Dr, Omolayo A. Adesina Ms. Jun 2020

An Assessment Of Global Research Activities On Children And Adolescent Online Security, Adeola O. Opesade Dr, Omolayo A. Adesina Ms.

Journal of Cybersecurity Education, Research and Practice

The use of the Internet among children and adolescents is now a norm in many parts of the world. As the Internet offers a wide range of benefits to these ones, so does it expose them to possible various risks and harm. Researchers in different countries across the world have engaged in the production of relevant research-based knowledge in order to make the virtual world a safe place for the younger ones. However, while studies have been carried out on the subject of Internet risk among children and adolescents, there is a dearth of information on the assessment of research ...


Rfia: An R Package For Estimation Of Forest Attributes With The Us Forest Inventory And Analysis Database, Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke Jun 2020

Rfia: An R Package For Estimation Of Forest Attributes With The Us Forest Inventory And Analysis Database, Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke

U.S. National Park Service Publications and Papers

Forest Inventory and Analysis (FIA) is a US Department of Agriculture Forest Service program that aims to monitor changes in forests across the US. FIA hosts one of the largest ecological datasets in the world, though its complexity limits access for many potential users. rFIA is an R package designed to simplify the estimation of forest attributes using data collected by the FIA Program. Specifically, rFIA improves access to the spatiotemporal estimation capacity of the FIA Database via space–time indexed summaries of forest variables within user-defined population boundaries (e.g., geographic, temporal, biophysical). The package implements multiple design-based estimators ...


"Thinking Across Borders." 13th Annual Research Week: Event Proceedings, Office Of Research And Sponsored Projects Operations Jun 2020

"Thinking Across Borders." 13th Annual Research Week: Event Proceedings, Office Of Research And Sponsored Projects Operations

Research Week Archived Proceedings

Poster and podium presentations of research by students and faculty of University of the Incarnate Word.


Joint Models Of Longitudinal Outcomes And Informative Time, Jangdong Seo Jun 2020

Joint Models Of Longitudinal Outcomes And Informative Time, Jangdong Seo

Journal of Modern Applied Statistical Methods

Longitudinal data analyses commonly assume that time intervals are predetermined and have no information regarding the outcomes. However, there might be irregular time intervals and informative time. Presented are joint models and asymptotic behaviors of the parameter estimates. Also, the models are applied for real data sets.


Comparison Of Scale Identification Methods In Mixture Irt Models, Youn-Jeng Choi, Allan S. Cohen Jun 2020

Comparison Of Scale Identification Methods In Mixture Irt Models, Youn-Jeng Choi, Allan S. Cohen

Journal of Modern Applied Statistical Methods

The effects of three scale identification constraints in mixture IRT models were studied. A simulation study found no constraint effect on the mixture Rasch and mixture 2PL models, but the item anchoring constraint was the only one that worked well on selecting correct model with the mixture 3PL model.


Assessing Evidence Relevance By Disallowing Assessment, John Licato, Michael Cooper Jun 2020

Assessing Evidence Relevance By Disallowing Assessment, John Licato, Michael Cooper

OSSA Conference Archive

Guidelines for assessing whether potential evidence is relevant to some argument tend to rely on criteria that are subject to well-known biasing effects. We describe a framework for argumentation that does not allow participants to directly decide whether evidence is potentially relevant to an argument---instead, evidence must prove its relevance through demonstration. This framework, called WG-A, is designed to translate into a dialogical game playable by minimally trained participants.


Wrack & Ruin: A Tale Of Tortured Trees, John T. Van Stan Ii, Albertus Tyasseta, Siloy, Graphic Artist Jun 2020

Wrack & Ruin: A Tale Of Tortured Trees, John T. Van Stan Ii, Albertus Tyasseta, Siloy, Graphic Artist

Geology and Geography Faculty Bookshelf

This work was co-authored by Georgia Southern Faculty member Dr. John T. Van Stan II.

Here, we visit a community of trees living along the Georgia coast, just above the high tide line, on a little lump of sand called a "hammock." This hammock plant community is battered by a hurricane. The plants that survive soon realize that they have fallen prey to a hydrological torture wrack - one composed of the salty corpses of their neighboring marsh plants (Spartina alterniflora). This sci comic is based on the publication, "Wrack and ruin: Legacy hydrologic effects of hurricane-deposited wrack..." (https://doi.org ...


Wrack And Ruin: Legacy Hydrologic Effects Of Hurricane-Deposited Wrack On Hardwood-Hammock Coastal Islands, John T. Van Stan Ii, Scott T. Allen, Travis Swanson Jun 2020

Wrack And Ruin: Legacy Hydrologic Effects Of Hurricane-Deposited Wrack On Hardwood-Hammock Coastal Islands, John T. Van Stan Ii, Scott T. Allen, Travis Swanson

Geology and Geography Faculty Publications

Hurricanes can cause immediate catastrophic destruction of marsh vegetation and erosion of soils; however, they also have long-lasting ecological impacts. Those impacts include the deposition of tremendous amounts of saltmarsh litter ('wrack') onto upland ecosystems, the hydrologic effects of which have not previously been investigated. When Hurricane Irma battered the southeastern US coastline, widespread wrack deposition was reported (often exceeding 0.5 m depth), especially in vulnerable coastal hammock ecosystems: locally-elevated forests within the saltmarshes that rely on freshwater inputs from rain. We report the impacts of this deposited wrack, which has persisted for 2 years, on effective precipitation inputs ...


Singapore's Climate Action: It Is Time To Be More Ambitious, Winston T. L. Chow Jun 2020

Singapore's Climate Action: It Is Time To Be More Ambitious, Winston T. L. Chow

Research Collection School of Social Sciences

Some nations have declared net-zero carbon emission targets by 2050. Businesses and the people here know Singapore can punch above its weight. The government should lend its support.


Exploring Opportunities For A New Community Garden In Santa Fe Springs, Camille Kelem Jun 2020

Exploring Opportunities For A New Community Garden In Santa Fe Springs, Camille Kelem

City and Regional Planning

No abstract provided.


Comparing Means Under Heteroscedasticity And Nonnormality: Further Exploring Robust Means Modeling, Alyssa Counsell, Robert Philip Chalmers, Robert A. Cribbie Jun 2020

Comparing Means Under Heteroscedasticity And Nonnormality: Further Exploring Robust Means Modeling, Alyssa Counsell, Robert Philip Chalmers, Robert A. Cribbie

Journal of Modern Applied Statistical Methods

Comparing the means of independent groups is a concern when the assumptions of normality and variance homogeneity are violated. Robust means modeling (RMM) was proposed as an alternative to ANOVA-type procedures when the assumptions of normality and variance homogeneity are violated. The purpose of this study is to compare the Type I error and power rates of RMM to the trimmed Welch procedure. A Monte Carlo study was used to investigate RMM and the trimmed Welch procedure under several conditions of nonnormality and variance heterogeneity. The results suggest that the trimmed Welch provides a better balance of Type I error ...


Inferences About The Probability Of Success, Given The Value Of A Covariate, Using A Nonparametric Smoother, Rand Wilcox Jun 2020

Inferences About The Probability Of Success, Given The Value Of A Covariate, Using A Nonparametric Smoother, Rand Wilcox

Journal of Modern Applied Statistical Methods

For a binary random variable Y, let p(x) = P(Y = 1 | X = x) for some covariate X. The goal of computing a confidence interval for p(x) is considered. In the logistic regression model, even a slight departure difficult to detect via a goodness-of-fit test can yield inaccurate results. The accuracy of a confidence interval can deteriorate as the sample size increases. The goal is to suggest an alternative approach based on a smoother, which provides a more flexible approximation of p(x).


A Note On Inferences About The Probability Of Success, Rand Wilcox Jun 2020

A Note On Inferences About The Probability Of Success, Rand Wilcox

Journal of Modern Applied Statistical Methods

There is an extensive literature dealing with inferences about the probability of success. A minor goal in this note is to point out when certain recommended methods can be unsatisfactory when the sample size is small. The main goal is to report results on the two-sample case. Extant results suggest using one of four methods. The results indicate when computing a 0.95 confidence interval, two of these methods can be more satisfactory when dealing with small sample sizes.


A Comparison Of Tribal Sovereignty, Self-Determination, And Environmental Justice At The Epa’S Onondaga Lake And Tar Creek Superfund Sites, Thomas Clark Jun 2020

A Comparison Of Tribal Sovereignty, Self-Determination, And Environmental Justice At The Epa’S Onondaga Lake And Tar Creek Superfund Sites, Thomas Clark

All Dissertations, Theses, and Capstone Projects

The Environmental Protection Agency’s Superfund program mandates that Native American tribes are afforded the same treatment as states in the implementation of environmental remediation projects; however, the degree of coordination and consultation between the EPA and sovereign tribal governments varies widely between sites. Two of the Superfund program’s highest profile sites with Native American interest, northeast Oklahoma’s Tar Creek and central New York’s Onondaga Lake, are characterized by such a disparity in tribal participation. While Oklahoma’s Quapaw Tribe would ultimately enter into a number of cooperative agreements with the EPA for direct control over remedial ...


Deploying Machine Learning For A Sustainable Future, Cary Coglianese May 2020

Deploying Machine Learning For A Sustainable Future, Cary Coglianese

Faculty Scholarship at Penn Law

To meet the environmental challenges of a warming planet and an increasingly complex, high tech economy, government must become smarter about how it makes policies and deploys its limited resources. It specifically needs to build a robust capacity to analyze large volumes of environmental and economic data by using machine-learning algorithms to improve regulatory oversight, monitoring, and decision-making. Three challenges can be expected to drive the need for algorithmic environmental governance: more problems, less funding, and growing public demands. This paper explains why algorithmic governance will prove pivotal in meeting these challenges, but it also presents four likely obstacles that ...


On Statistical Significance Of Discriminant Function Coefficients, Tolulope T. Sajobi, Gordon H. Fick, Lisa M. Lix May 2020

On Statistical Significance Of Discriminant Function Coefficients, Tolulope T. Sajobi, Gordon H. Fick, Lisa M. Lix

Journal of Modern Applied Statistical Methods

Discriminant function coefficients are useful for describing group differences and identifying variables that distinguish between groups. Test procedures were compared based on asymptotically approximations, empirical, and exact distributions for testing hypotheses about discriminant function coefficients. These tests are useful for assessing variable importance in multivariate group designs.


A Mathematical Model To Study The Crime Dynamics Spread Within Minority Communities, Maila Brucal-Hallare, Beatriz Cuartas, Anne Fernando, Ana Vivas-Barber May 2020

A Mathematical Model To Study The Crime Dynamics Spread Within Minority Communities, Maila Brucal-Hallare, Beatriz Cuartas, Anne Fernando, Ana Vivas-Barber

Biology and Medicine Through Mathematics Conference

No abstract provided.


Support Vector Machine-Based Modified Sp Statistic For Subset Selection With Non-Normal Error Terms, Shivaji Shripati Desai, D N. Kashid May 2020

Support Vector Machine-Based Modified Sp Statistic For Subset Selection With Non-Normal Error Terms, Shivaji Shripati Desai, D N. Kashid

Journal of Modern Applied Statistical Methods

Support vector machine (SVM) is used for estimation of regression parameters to modify the sum of cross products (Sp). It works well for some nonnormal error distributions. The performance of existing robust methods and the modified Sp is evaluated through simulated and real data. The results show the performance of the modified Sp is good.