Digital Commons Network^™

Political Public Relations As A Tool For Combating Vote Buying In Nigeria For Development Purposes, Jacob Gbaden Chiakaan, Chamberlain Chinsom Egbulefu, Wombu Richard Kpera, Pius Kwapsoni Kaigama

ASEAN Journal of Community Engagement

The main aim of the study is to identify political public relations approaches that can be applied by the government and other bodies responsible for conducting elections in Nigeria to mitigate and eliminate vote buying. The study adopted a qualitative approach in the contextual analysis of data collected specifically from secondary sources. The results revealed that vote buying has become synonymous with elections in Nigeria. After reviewing some related empirical studies, several factors responsible for vote buying in Nigeria have been identified, including poverty, lack of education, high cost of buying forms to contest elections, and many others. Moreover, where …

Crash Injury Severity Prediction With Artificial Neural Networks, Rima Abisaad

Dissertations

Motor vehicle crashes are one of our nation's most serious social, economic and health issues. They are the leading cause of death among children and young adults, killing approximately 1.35 million people each year. Providing a safe and efficient transportation system is the primary goal of transportation engineering and planning. To help reduce traffic fatalities and injuries on roadways, crash prediction models are used to forecast the injury severity of potential crashes and apply precautionary countermeasures accordingly. Most of these models are reactive as they use historical crash data to categorize crash-related factors. Recently, advancements have been made in developing …

Private And Federated Deep Learning: System, Theory, And Applications For Social Good, Han Hu

Dissertations

During the past decade, drug abuse continues to accelerate towards becoming the most severe public health problem in the United States. The ability to detect drug­abuse risk behavior at a population scale, such as among the population of Twitter users, can help to monitor the trend of drug­abuse incidents. However, traditional methods do not effectively detect drug­abuse risk behavior in tweets, mainly due to the sparsity of such tweets and the noisy nature of tweets. In the first part of this dissertation work, the task of classifying tweets as containing drug­abuse risk behavior or not, is studied. Millions of public …

Soil Organic Carbon In Maine, Its Responses To Biochar Addition, And Climate Change, Xue Bai

Electronic Theses and Dissertations

Soil organic carbon (SOC), as one of the largest C pools in terrestrial ecosystems, plays a key role in governing soil ecosystem processes and climate regulation. Climate change concerns have resulted in a rapidly growing interest in understanding the potential for natural climate solutions (NCS) that include enhancing SOC sequestration and reduce net atmospheric greenhouse gas (GHG) emissions. This research focused on addressing information needs about SOC in Maine, specifically in evaluating available soil databases to accurately quantify SOC density and concentration, and study the response of selected representative Maine soils to biochar amendments under a changing climate.

Maine SOC …

Flood Analysis And Hydraulic Competence Of Drainage Structures Along Addis Ababa Light Rail Transit, Moses Kiwanuka, Seleshi Yilma, Joel Webster Mbujje, John Bosco Niyomukiza

Journal of Environmental Science and Sustainable Development

The occurrence of flooding events and the associated risks are increasing in the urban areas of most developing countries. Flooding in any circumstance causes major stresses on affected area’s economic, social and environmental regimes. Therefore, the current study presents a flood analysis and hydraulic competence of existing drainage structures on some selected roads of Addis Ababa City, after integration with Addis Ababa Light Rail Transit (AALRT) Drainage Systems. The existing side drains and cross drainage structures located within the study area were inspected and assessed to ascertain different aspects relating to their performance. Different watersheds were delineated. Hydrological analysis was …

Do Socio-Demographic Factors And Sources Of Information Relate To Climate Change Awareness? Evidence From Afrobarometer Round 7 Data, Ayodeji P. Ifegbesan, Razaq O. Azeez, Sesan Mabekoje

Journal of Environmental Science and Sustainable Development

Climate change has been considered the most significant environmental catastrophe which is currently threatening human survival. Like the rest of other countries on the African continent, climate change in Nigeria has debilitating effects on both the people and the community due to vulnerability and poor coping capability of the people. Numerous studies related to the problem of rising temperatures in Africa are now being carried out and documented. However, only a little research evidence is available, particularly from Nigeria, regarding the way socio-demographic factors and sources of information are related to climate change awareness. The Afrobarometer Round 7 data for …

Assessment Of Vertical Accuracy From Uav-Lidar And Structure From Motion Point Clouds In Floodplain Terrain Mapping, Andrew Muller

Dissertations and Theses

Remote sensing technologies are being applied to a variety of uses because of the increase in access to various products (digital sensors, UAVs, software) and its ability to model relatively large areas in a short amount of time. While these new technologies are beginning to be adopted, validation of their merit in floodplain terrain mapping is lacking. The main goal of this study is to evaluate the vertical accuracy of digital elevation models (DEMs) generated with UAV-based LiDAR and Structure from Motion (SfM), also known as photographic LiDAR or PhoDAR. Airborne (manned aircraft) LiDAR has been applied to river research …

Likely Community Transmission Of Covid-19 Infections Between Neighboring, Persistent Hotspots In Ontario, Canada, Ben C. Shirley, Eliseos J. Mucaki, Peter Rogan

Biochemistry Publications

Introduction: This study aimed to produce community-level geo-spatial mapping of confirmed COVID-19 cases in Ontario Canada in near real-time to support decision-making. This was accomplished by area-to-area geostatistical analysis, space-time integration, and spatial interpolation of COVID-19 positive individuals.
Methods: COVID-19 cases and locations were curated for geostatistical analyses from March 2020 through June 2021, corresponding to the first, second, and third waves of infections. Daily cases were aggregated according to designated forward sortation area (FSA), and postal codes (PC) in municipal regions Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, and Windsor/Essex county. Hotspots were identified with area-to-area tests including Getis-Ord Gi*, Global …

Likely Community Transmission Of Covid-19 Infections Between Neighboring, Persistent Hotspots In Ontario, Canada [Version 1; Peer Review: Awaiting Peer Review], Elisios J. Mucaki, Ben C. Shirley, Peter K. Rogan

Research Articles

This study aimed to produce community-level geo-spatial mapping of confirmed COVID-19 cases in Ontario Canada in near real-time to support decision-making. This was accomplished by area-to-area geostatistical analysis, space-time integration, and spatial interpolation of COVID-19 positive individuals.

Responses To Environmental Change, Lisa Reyes Mason, Susan P. Kemp, Lawrence A. Palinkas, Amy Krings

Social Work: School of Social Work Faculty Publications and Other Works

Communities worldwide are facing environmental crises such as air pollution, water shortages, climate change, and other forms of environmental change and degradation. While technical solutions for environmental change are essential, so too are solutions that consider social acceptability, value cultural relevance, and prioritize equity and social justice. Social work has a critical and urgent role in creating and implementing macrolevel social responses to environmental change. The key concepts of environmental change, environmental and ecological justice, social vulnerability, and social responses are discussed. A description of the roles and skills unique to macro social workers for this effort is given, followed …

Progressive Destabilization And Triggering Mechanism Analysis Using Multiple Data For Chamoli Rockslide Of 7 February 2021, Wenfei Mao, Lixin Wu, Ramesh P. Singh, Yuan Qi, Busheng Xie, Yingjia Liu, Yifan Ding, Zilong Zhou, Jia Li

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

A catastrophic rockslide occurred on 7 February 2021 in Chamoli area in the high Himalaya. In the absence of field data, multiple satellites data of decade span have been used to investigate and understand the progressive destabilization of rockslide body. A 3D geometric model was developed using geospatial information about geology, terrain, and ice cover to understand the triggering mechanism. Several causes are uncovered as: the pronounced long-term change of land surface temperature facilitated local permafrost degradation and led to ice cover shrinking since 2010; the occurrence of ice avalanche nearby in 2016 accompanying with sidewall-to-bedrock fracturing enhanced the ice …

2012 August University Of Memphis Commencement Program

Commencements

Program for the Summer convocation of the 100th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on August 12, 2012.

A Variable Unit Hydrograph Incorporating Nonlinearity In Rainfall-Runoff Response Due To Antecedent Watershed Conditions, Aashis Sapkota

Electronic Theses and Dissertations

Runoff generation in a watershed is a highly complex process whose estimation is vital in performing engineering tasks such as flooding risk assessments and design of hydraulic structures. Because natural rainfall-runoff processes are complex and inherently nonlinear, they are difficult to quantify or parametrize. In engineering hydrology, this issue has been mostly circumvented by using highly simplified, lumped approaches. Typically, losses are abstracted from a total precipitation hyetograph (representing either an actual or a design storm, depending on the application) to obtain the effective rainfall component, that is understood to result in the corresponding flood event. Then, this effective precipitation …

2021 - The Second Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2021 Symposium of Student Scholars, held on November 18, 2021. Includes abstracts from the presentations and posters.

Exploring Micro-Scale Spatiotemporal Dynamics Of Restaurant Entrepreneurship With Public Open Data, Chanwoo Jin, Alan T. Murray

International Journal of Geospatial and Environmental Research

Commercial activities within a city have competed to attract people, and the interactions between these activities have affected urban dynamics. Among many services, the restaurant business accounts for a significant portion of the urban economy, with spatiotemporal variations in survivability reflecting crucial signs of changes in urban structure. This study aims to identify the patterns of spatiotemporal changes in restaurants locations to deepen our understanding of urban dynamics. Studies have utilized a variety of data sources, including social media and consumer review services, but they cover relatively short periods and focus on currently operating businesses. Public open data, however, offers …

Magnitude And Uncertainty Of Nitrous Oxide Emissions From North America Based On Bottom-Up And Top-Down Approaches: Informing Future Research And National Inventories, R. Xu, Hanqin Tian, N. Pan, R. L. Thompson, J. G. Canadell, E. A. Davidson, C. Nevison, W. Winiwarter, H. Shi, S. Pan, J. Chang, P. Ciais, Shree Dangal, A. Ito, R. B. Jackson, F. Joos, R. Lauerwald, S. Lienert, T. Maavara, D. B. Millet, P. A. Raymond, P. Regnier, F. N. Tubiello, N. Vuichard, K. C. Wells, C. Wilson, J. Yang, Y. Yao, S. Zaehle, F. Zhou

School of Natural Resources: Faculty Publications

We synthesized N₂O emissions over North America using 17 bottom-up (BU) estimates from 1980– 2016 and five top-down (TD) estimates from 1998 to 2016. The BU-based total emission shows a slight increase owing to U.S. agriculture, while no consistent trend is shown in TD estimates. During 2007–2016, North American N₂O emissions are estimated at 1.7 (1.0–3.0) Tg N yr⁻¹ (BU) and 1.3 (0.9–1.5) Tg N yr⁻¹ (TD). Anthropogenic emissions were twice as large as natural fluxes from soil and water. Direct agricultural and industrial activities accounted for 68% of total anthropogenic emissions, 71% of …

Electric Vehicle Integration In San Francisco, Lisa Farmos

Master's Projects and Capstones

California’s Executive Order N-79-20 requires all new cars and passenger trucks sold in California to be zero-emissions by 2035. Electric vehicles (EVs) are the primary alternative fuel solution. However, there are widespread barriers to ownership, particularly for those in lower socioeconomic classes. A literature review of barriers to EV ownership shows the primary barrier is insufficient overnight charging infrastructure. Geospatial data of EV charging infrastructure and 2020 census tract data were used to map average income versus EV charging infrastructure in San Francisco. Data maps confirm the literature review findings: there is a positive correlation between income and EV charging …

Odu Research Is Showcased In ‘Waters Rising’ Exhibition At The Chrysler Museum Of Art, Amber Kennedy

News Items

No abstract provided.

Developing A Resilient, Robust And Efficient Supply Network In Africa, Jade F. Preston, Bruce A. Cox, Paul P. Rebeiz, Timothy W. Breitbach

Faculty Publications

Purpose — Supply chains need to balance competing objectives; in addition to efficiency, supply chains need to be resilient to adversarial and environmental interference and robust to uncertainties in long-term demand. Significant research has been conducted designing efficient supply chains and recent research has focused on resilient supply chain design. However, the integration of resilient and robust supply chain design is less well studied. The purpose of the paper is to include resilience and robustness into supply chain design. Design/methodology/approach — The paper develops a method to include resilience and robustness into supply chain design. Using the region of West …

2021-12-13 Undergraduate Curriculum Committee Meeting Minutes, Morehead State University. Faculty Senate.

Faculty Senate Records

Undergraduate Curriculum Committee meeting minutes for December 13, 2021.

Microstructures In A Shear Margin: Jarvis Glacier, Alaska, Christopher Gerbi, Stephanie Mills, Renée Clavette, Seth Campbell, Steven Bernsen, David Clemens-Sewall, Ian Lee, Robert Hawley, Karl Kreutz, Kate Hruby

Dartmouth Scholarship

Microstructures, including crystallographic fabric, within the margin of streaming ice can exert strong control on flow dynamics. To characterize a natural setting, we retrieved three cores, two of which reached bed, from the flank of Jarvis Glacier, eastern Alaska Range, Alaska. The core sites lie ~1 km downstream of the source, with abundant water present in the extracted cores and at the base of the glacier. All cores exhibit dipping layers, a combination of debris bands and bubble-free domains. Grain sizes coarsen on average approaching the lateral margin. Crystallographic orientations are more clustered and with c-axes closer to horizontal nearer …

Gis-Based Volunteer Cotton Habitat Prediction And Plant-Level Detection With Uav Remote Sensing, Tianyi Wang, Xiaohan Mei, J. Alex Thomasson, Chenghai Yang, Xiongzhe Han, Pappu Kumar Yadav, Yeyin Shi

Biological Systems Engineering: Papers and Publications

Volunteer cotton plants germinate and grow at unwanted locations like transport routes and can serve as hosts for a harmful cotton pests called cotton boll weevils. The main objective of this study was to develop a geographic information system (GIS) framework to efficiently locate volunteer cotton plants in the cotton production regions in southern Texas, thus reducing time and economic cost for their removal. A GIS network analysis tool was applied to estimate the most likely routes for cotton transportation, and a GIS model was created to identify and visualize potential areas of volunteer cotton growth. The GIS model indicated …

Clinical Diagnosis Support With Convolutional Neural Network By Transfer Learning, Spencer Fogleman, Jeremy Otsap, Sangrae Cho

SMU Data Science Review

Breast cancer is prevalent among women in the United States. Breast cancer screening is standard but requires a radiologist to review screening images to make a diagnosis. Diagnosis through the traditional screening method of mammography currently has an accuracy of about 78% for women of all ages and demographics. A more recent and precise technique called Digital Breast Tomosynthesis (DBT) has shown to be more promising but is less well studied. A machine learning model trained on DBT images has the potential to increase the success of identifying breast cancer and reduce the time it takes to diagnose a patient, …

Urban Traffic Simulation: Network And Demand Representation Impacts On Congestion Metrics, Aaron Faltesek, Balasubramaniam Dakshinamoorthi, Sreeni Prabhala, Akbar Thobani, Anu Kuncheria, Jane Macfarlane

SMU Data Science Review

Traffic simulations are often used by city planners as a basis for predicting the impact of policies, plans, and operations. The complexities underpinning traffic simulations are often not described in detail yet can significantly impact the simulation outcome. Conflating underlying data for simulations is complex and hinders the interest in this type of exploration. This paper aims to elucidate critical features of traffic simulations that drive the generated metrics of the modeled urban environment. Specifically, this paper examines differences in two road graph networks for the metropolitan region of Houston, TX: a reduced network composed of 45,675 road links and …

Identifying Vacant Lots To Reduce Violent Crime In Dallas, Texas, Laura Lazarescou, Andrew Mejia, Tina Pai, Sabrina Purvis, Robert Slater, Owen Wilson-Chavez

SMU Data Science Review

Vacant lots have been associated with community violence for many years. Researchers have confirmed a positive correlation between vacant lots and vacant buildings with increased violence in urban and rural geographies. However, identifying vacant lots has been a challenge, and modeling methods were largely manual and time-intensive. This prevented cities and non-profit organizations from acting on the information since it was expensive and high-risk to develop remediation programs without clearly understanding where or how many vacant lots existed.

The primary objective of this study was to provide a predictive model that accelerates and improves the accuracy of prior land classification …

Identification And Characterization Of Forest Fire Risk Zones Leveraging Machine Learning Methods, Joshua Balson, Matt Chinchilla, Cam Lu, Jeff Washburn, Nibhrat Lohia

SMU Data Science Review

Across the United States, record numbers of wildfires are observed costing billions of dollars in property damage, polluting the environment, and putting lives at risk. The ability of emergency management professionals, city planners, and private entities such as insurance companies to determine if an area is at higher risk of a fire breaking out has never been greater. This paper proposes a novel methodology for identifying and characterizing zones with increased risks of forest fires. Methods involving machine learning techniques use the widely available and recorded data, thus making it possible to implement the tool quickly.

Forest Fires Reduce Snow-Water Storage And Advance The Timing Of Snowmelt Across The Western U.S., Emily E. Smoot, Kelly E. Gleason

Environmental Science and Management Faculty Publications and Presentations

As climate warms, snow-water storage is decreasing while forest fires are increasing in extent, frequency, and duration. The majority of forest fires occur in the seasonal snow zone across the western US. Yet, we do not understand the broad-scale variability of forest fire effects on snow-water storage and water resource availability. Using pre- and post-fire data from 78 burned SNOTEL stations, we evaluated post-fire shifts in snow accumulation (snow-water storage) and snowmelt across the West and Alaska. For a decade following fire, maximum snow-water storage decreased by over 30 mm, and the snow disappearance date advanced by 9 days, and …

Elevated Growth And Biomass Along Temperate Forest Edges, Luca L. Morreale, Jonathan R. Thompson, Xiaojing Tang, Andrew B. Reinmann, Lucy R. Hutyra

Publications and Research

Fragmentation transforms the environment along forest edges. The prevailing narrative, driven by research in tropical systems, suggests that edge environments increase tree mortality and structural degradation resulting in net decreases in ecosystem productivity. We show that, in contrast to tropical systems, temperate forest edges exhibit increased forest growth and biomass with no change in total mortality relative to the forest interior. We analyze > 48,000 forest inventory plots across the north-eastern US using a quasi- experimental matching design. At forest edges adjacent to anthropogenic land covers, we report increases of 36.3% and 24.1% in forest growth and biomass, respectively. Inclusion of …

The Development Of An Immersive Virtual Exploratory Engine (Ivee) For Immersive Analytics, Sofia Karam

Theses and Dissertations

Due to increasing data complexity, researchers are struggling to visually explore data using traditional methods. Research has shown that a variety of analytics-related tasks can be enhanced using new emerging technologies (e.g., virtual reality [VR] and augmented reality [AR]). This paper provides a detailed design approach for developing an immersive virtual engine system for conducting exploratory and descriptive data analytics. This system is called the Immersive Virtual Exploratory Engine (IVEE), is a VR system that allows users to experience full intractability with its graphical elements and examines various datasets within the same immersive environment. Basic plots—such as histograms, line plots, …

Impacts Of Sea-Level Rise On Urban Properties In Tampa Due To Climate Change, Weiwei Xie

Theses and Dissertations

The fast urbanization produces a large and growing population in coastal areas. However, the rise of sea level, one of the most significant impacts of global warming, makes coastal communities much more vulnerable to flooding than before. This Master’s thesis study investigates sea-level rise impacts on parcel-level property in the specific coastal city of Tampa, Florida, USA. An improved sea-level rise model based on satellite altimeter data is first used to predict future sea levels. Based on high-resolution LiDAR digital elevation data and property map, flooded properties are identified to evaluate property damage cost. This empirical analysis provides an in-depth …