Social and Behavioral Sciences Commons^™

Research On Concentration Force Of Goods In Ports Across The Taiwan Strait, Yucong Xie

World Maritime University Dissertations

No abstract provided.

A Two-Stage Model For Social Network Investigations In Digital Forensics, Anne David, Sarah Morris, Gareth Appleby-Thomas

Journal of Digital Forensics, Security and Law

This paper proposes a two-stage model for identifying and contextualizing features from artefacts created as a result of social networking activity. This technique can be useful in digital investigations and is based on understanding and the deconstruction of the processes that take place prior to, during and after user activity; this includes corroborating artefacts. Digital Investigations are becoming more complex due to factors such as, the volume of data to be examined; different data formats; a wide range of sources for digital evidence; the volatility of data and the limitations of some of the standard digital forensic tools. This paper …

Data Visualization And Infographics Design Art404g/Dsp Xxx, Harrison Dekker

Library Impact Statements

No abstract provided.

The Relationship Between Impact Energy And Glass Fracture Via .177 Caliber Steel Bbs, Jocenel Beach

Student Theses

Fractured glass is often found at shooting scenes and can provide useful information for crime scene reconstruction. Mechanical glass fracture from a projectile impact can result in different types of fracture patterns. The degree of fracture depends on several factors including: type of glass, the thickness of the glass, curvature (if any), distance from the muzzle, contact angle, and type of projectile. Correlating impact energy to the degree of glass fracture can provide useful information regarding the muzzle-to-target distance for a particular firearm/ammunition combination. This research focuses on the projectile impact velocity of .177 steel BBs shot from a pneumatic …

A New Two-Parametric ‘Useful’ Fuzzy Information Measure And Its Properties, Saima Manzoor Sofi, Safina Peerzada, Mirza Abdul Khalique Baig

Journal of Modern Applied Statistical Methods

A ‘useful’ fuzzy measure of order α and type β is developed. Its validity established with a numerical example.

The Model Area In Successful Lean Transformation And Scale Modeling, William Cooper, M. Abbot Maginnis, David Parsley, Kozo Saito

Progress in Scale Modeling, an International Journal

The True Lean System Program at the University of Kentucky was created in 1994 to study how the development of the Toyota Production System (TPS) contributes to Toyota’s success. This increased understanding of Toyota’s experience would provide useful guidance to Western companies taking on the challenges of replicating Toyota’s success within their own organizations. The common struggle point shared by the companies who come to us is their inability to establish sustainable TPS-based Lean transformations throughout their organizations. Our work with these companies along with our study of Toyota’s own experience in bringing TPS to its own American operations has …

Examining The Intersection Of Environmental Justice, Chronic Disease, And Pandemics; How A Mobile Health App Could Improve Health Outcomes And Inform Policy, Jessica Snow

Master's Projects and Capstones

The purpose of this paper is to analyze the intersection of environmental justice, chronic disease and illness, and pandemics. The inequitable distribution of polluting factories, landfills, and hazardous waste sites have been a long-standing concern in the field of environmental justice. Local zoning codes and land use policies have been tools for segregating people and concentrating pollution in low-income communities and communities of color. Many studies have found that pollution varies among racial and minority groups, and the burden of pollution is not one that is evenly shared. Communities of color and low income communities are disproportionately affected by air …

Ronald E. Mcnair Scholars Program Profiles And Abstracts 2020, Mcnair Scholars Program

McNair Symposium

This is the complete event program and provides presentation abstracts and biographies of McNair scholars and their mentors.

Internships Shape Students' Future Career, Maria F. Arrayan

Marriott Student Review

Finding an internship has been more difficult than before due to COVID-19. For many, the search for an internship may be frustrating or pointless during this difficult time. Students need to empower themselves with the right tools to find an internship. Maria Fernanda Arrayan talks about the benefits of an internship and four ways to find one. Read this article to find motivation in your search for an internship and try a new way to find your next internship!

Life In Hampton Roads Survey: Hurricanes And Covid-19, News @ Odu

News Items

No abstract provided.

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus

Theses and Dissertations

This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …

Benefits Of Bioenergy For The Sustainable Development Of Sudan, Arwa Ibrahim

International Programs

This poster discusses bioenergy and its potential benefits for Sudan’s Sustainable Development.

Virtual Reality: A Tool Used To Engage Youth In The Voting Process In Newly Democratic Tunisia, Raed Ghanja

International Programs

Tunisia is facing a hard time with its transition to democracy partly due to the reluctance on the part of young people to participate in elections. This poster discusses why the Tunisian government must engage youth and encourage their participation in the election process by using fun simulations of this process in Virtual Reality.

Iot-Enabled Eldercare Technology, Watchanan Chantapakul

International Programs

The world’s population is changing as people are growing older. Leveraging technology for eldercare is important in this century. It can enable many eldercare applications effectively.

The Influence Of Surface Types Towards Run-Off Water In Urban Park, Febby Andini

International Programs

Pavements in Alun Kapuas Park constribute 63 of run off water over the capacity of the soil to infiltrate. This water will potentially causes the flooding and puddling issues.

Potential Of Resampled Multispectral Data For Detecting Desmodium-Brachiaria Intercropped With Maize In A 'Push-Pull' System, B. T. Mudereri, E. M. Abdel-Rahman, T. Dube, T. Landmann, S. Niassy, H. E.Z. Tonnang, Z. R. Khan

All Peer-Reviewed Publications

Poor crop yields remain one of the main causes of chronic food insecurity in Africa. This is largely caused by insect pests, weeds, unfavourable climatic conditions and degraded soils. Weed and pest control, based on the climate-adapted g'push-pull' system, has become an important target for sustainable intensification of food production adopted by many small-holder farmers. However, essential baseline information using remotely sensed data is missing, specifically for the g'push-pull' companion crops. In this study, we investigated the spectral uniqueness of two of the most commonly used g'companion' crops (i.e. greenleaf Desmodium (i Desmodium intortum/i) and Brachiaria (i Brachiaria/i cv Mulato) …

The Complicated History Of Environmental Racism, Victoria Peña-Parr

Black History at UNM

University of New Mexico Honors College Assistant Professor, Myrriah Gómez, defines and explores environmental racism, specifically its effects in New Mexico.

A Modeling Framework For Urban Growth Prediction Using Remote Sensing And Video Prediction Technologies: A Time-Dependent Convolutional Encoder-Decoder Architecture, Ahmed Hassan Jaad

Civil and Environmental Engineering Theses and Dissertations

Studying the growth pattern of cities/urban areas has received considerable attention during the past few decades. The goal is to identify directions and locations of potential growth, assess infrastructure and public service requirements, and ensure the integration of the new developments with the existing city structure. This dissertation presents a novel model for urban growth prediction using a novel machine learning model. The model treats successive historical satellite images of the urban area under consideration as a video for which future frames are predicted. A time-dependent convolutional encoder-decoder architecture is adopted. The model considers as an input a satellite image …

A New Two Parametric Weighted Generalized Entropy For Lifetime Distributions, Bilal Ahmad Bhat, Mirza Abdul Khaliq Baig

Journal of Modern Applied Statistical Methods

The concept of weighted generalized entropy and its dynamic residual (version) is developed. The general expressions of these two uncertainty measures corresponding to some well-known lifetime distributions are derived. It is shown that the proposed dynamic entropy determines the survival function uniquely. Some significant properties and inequalities of this dynamic entropy are also discussed.

Need For Diversity In Elected Decision-Making Bodies: Economics-Related Analysis, Nguyen Ngoc Thach, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

On a qualitative level, everyone understands the need to have diversity in elected decision-making bodies, so that the viewpoint of each group be properly taken into account. However, when only the usual economic criteria are used in this election -- e.g., in the election of company's board -- the resulting bodies often under-represent some groups (e.g., women). A frequent way to remedy this situation is to artificially enforce diversity instead of strictly following purely economic criteria. In this paper, we show the current seeming contradiction between economics and diversity is caused by the imperfection of the use economic models: in …

Determinants Of The Carbon Footprint Of German Swimmers 2020., Ann-Marie Muehlbauer

Master's Theses

The current climate situation is placing our planet and future generations at risk, which demonstrates the urgency to combat climate change and conduct research to support this effort. Calculating the carbon footprint of active sport participation represents an important opportunity to conduct additional research. This study examined the environmental attitudes and practices of swim club members in Germany. The study had three goals: First, to calculate the total and partial carbon footprint of German swimmers; second, to understand how sport organizations induce participants to engage in pro-environmental behavior; and third, to analyze various factors associated with carbon footprint, such as …

Geology, Soils And Climate Of The Margaret River Wine Region, Peter J. Tille, Angela Stuart-Street, Peter S. Gardiner

All other publications

This report is an extract from the broader description and analysis of the Geology, soils and climate of Western Australia's wine regions. It expands on the brief descriptions in the second edition of 'Viticulture' (Coombe & Dry 2004) concerning the soils and landscapes of Western Australia’s main wine growing regions. We have tailored this report extract to the specific needs of the Margaret River wine region. It contains local soil names and soil-landscape zones and systems maps.

The wine industry recognises the importance of giving customers an understanding of the vines’ environment and how that may influence wine character …

Predicting And Mapping Plethodontid Salamander Abundance Using Lidar-Derived Terrain And Vegetation Characteristics, Marco Antonio Contreras, Wesley A. Staats, Steve J. Price

Forestry and Natural Resources Faculty Publications

Aim of the study: Use LiDAR-derived vegetation and terrain characteristics to develop abundance and occupancy predictions for two terrestrial salamander species, Plethodon glutinosus and P. kentucki, and map abundance to identify vegetation and terrain characteristics affecting their distribution.

Area of study: The 1,550-ha Clemons Fork watershed, part of the University of Kentucky’s Robinson Forest in southeastern Kentucky, USA.

Materials and methods: We quantified the abundance of salamanders using 45 field transects, which were visited three times, placed across varying soil moisture and canopy cover conditions. We created several LiDAR-derived vegetation and terrain layers and used these …

Human Trafficking In Nepal: Can Big Data Help?, Shushant Khanal

Undergraduate Research Journal

This paper provides an overview of human trafficking in Nepal, identifies strategies implemented by the government of the country to handle the problem and possibilities of using big data as a solution to the problem of human trafficking in Nepal. Big data, may be defined as the collection of a large volume of data from the past that is processed using machine learning and artificial intelligence to find a common pattern. The use of big data in tackling the problem of human trafficking is not new in developed countries like the United States but it is still a foreign idea …

Exploring Food Deserts And Environmental Impacts On Health In Chicago And Oregon, Sivasomasundari Arunarasu, Paulina Grzybowicz

altREU Projects

Food deserts are defined as, “an impoverished area where residents lack access to healthy foods”. This lack of access can be due to a combination of socioeconomic, geographic, and food-related variables, and has been proven to impact the health of residents in the area. In this project, several statistical and machine learning techniques are used to model the impact of food desserts and various other factors on health outcomes, including diabetes and obesity rates, in both the different neighborhoods in the City of Chicago and the various counties in the state of Oregon. The models are then used to determine …

College Of Natural Sciences Newsletter, August 2020, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 1. Issue 7

Contents:

Dean’s Update P.1
Awards & Recognition P.2
New Faculty | Student Clubs P.3
Research Spotlight | Open PRAIRIE P.4
ODFS | Interest in Science P.3

Severe Acute Respiratory Syndrome Coronavirus 2 Transmission Potential, Iran, 2020, Kamalich Muniz-Rodriguez, Isaac Fung, Shayesteh R. Ferdosi, Sylvia Ofori, Yiseul Lee, Amna Tariq, Gerardo Chowell

Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications

To determine the transmission potential of severe acute respiratory syndrome coronavirus 2 in Iran in 2020, we estimated the reproduction number as 4.4 (95% CI 3.9–4.9) by using a generalized growth model and 3.5 (95% CI 1.3–8.1) by using epidemic doubling time. The reproduction number decreased to 1.55 after social distancing interventions were implemented.

Analysis Of Interdunal Wetlands And Ecosystem Dynamics Using Uas And Obia In Ludington State Park, Michigan, Claire Gilbert

Masters Theses

The Great Lakes sand dunes are the world's largest freshwater dune complex. There is a functional relationship between coastal wetlands and freshwater sand dune, referred to as interdunal wetlands. Interdunal wetland systems are highly dynamic and change dramatically seasonally and annually. Using geographic information systems (GIS) and unoccupied aerial systems (UAS), this thesis project is focused on understanding the spatial distribution of sparse and dense vegetation, and abiotic influence such as distance to coast, slope, and aspect influence interdunal wetland stability within a Great Lakes shoreline dune system. Object-based image analysis (OBIA) classification results extracted meaningful vegetation densities of growth …

Gaining Computational Insight Into Psychological Data: Applications Of Machine Learning With Eating Disorders And Autism Spectrum Disorder, Natalia Rosenfield

Computational and Data Sciences (PhD) Dissertations

Over the past 100 years, assessment tools have been developed that allow us to explore mental and behavioral processes that could not be measured before. However, conventional statistical models used for psychological data are lacking in thoroughness and predictability. This provides a perfect opportunity to use machine learning to study the data in a novel way. In this paper, we present examples of using machine learning techniques with data in three areas: eating disorders, body satisfaction, and Autism Spectrum Disorder (ASD). We explore clustering algorithms as well as virtual reality (VR).

Our first study employs the k-means clustering algorithm to …

Application Of Artificial Intelligence And Geographic Information System For Developing Automated Walkability Score, Md Mehedi Hasan

Dissertations

Walking is considered as one of the major modes of active transportation, which contributes to the livability of cities. It is highly important to ensure walk friendly sidewalks to promote human physical activities along roads. Over the last two decades, different walk scores were estimated in respect to walkability measures by applying different methods and approaches. However, in the era of big data and machine learning revolution, there is still a gap to measure the composite walkability score in an automated way by applying and quantifying the activityfriendliness of walkable streets. In this study, a street-level automated walkability score was …