Social and Behavioral Sciences Commons^™

Environmental Discriminators For Significant Tornadoes And Hail In The U.S. Using Proximity Soundings, Cody Michael Converse

Graduate Research Theses & Dissertations

Over the last 50 years, the United States has experienced an increase in severe storm events that produced $1 billion in damages or greater. Much of this loss is attributed to significant tornadoes and hail associated with deep, moist convection. Improving forecasts for these significant events assist in mitigating the impacts of these events. Previous work has identified statistically significant environmental parameters associated with severe thunderstorms, but more research is needed in identifying statistically significant ingredients associated with environments that produce significant tornadoes and hail.

This thesis aims to answer the following question: “Can diagnostics commonly used to forecast for …

The Emotions Of Science: Using Social Media To Gauge Public Emotions Toward Research Topics, Cole C. Freeman

Graduate Research Theses & Dissertations

Online and in the real world, communities are bonded together by emotional consensus around core issues. Emotional responses to scientific findings often play a pivotal role in these core issues. When there is too much diversity of opinion on topics of science, emotions flare up and give rise to conflict. This conflict threatens positive outcomes for research. Emotions have the power to shape how people process new information. They can color the public's understanding of science, motivate policy positions, even change lives. And yet little work has been done to evaluate the public's emotional response to science using quantitative methods. …

Understanding And Measuring Net Positive Business Strategies, Luke Ruffner Robinson

Graduate Student Theses, Dissertations, & Professional Papers

Despite their attempts to mitigate ecological impacts through sustainability initiatives, businesses are a major cause of the world's ecological problems. Some progressive businesses are attempting to move beyond “net zero” in terms of achieving neutral environmental impacts and instead are now pursuing a goal of net positive. Net positive refers to the idea that business activities could contribute value-added benefits to earth’s ecological systems, for example, by using technologies that sequester and store carbon. However, except for a handful of high-profile corporate case studies, little is known about how companies are developing their strategies to become net positive and …

Exploring Strategies For Recruiting And Retaining Diverse Cybersecurity Professionals, Vivian Lyon

Walden Dissertations and Doctoral Studies

The cyber threat landscape has led some cybersecurity leaders to focus on a holistic approach encompassing people, processes, and technology to make their government agencies and organizations more responsive to a more diverse and inclusive cyber workforce to protect critical infrastructure from hackers or cybercriminals intent on causing harm. This qualitative multiple case study used Schein’s organizational culture theory to explore strategies used by cybersecurity leaders to attract, recruit, and retain diverse cybersecurity professionals to effectively and efficiently protect sensitive systems from rising cyber threats. The study's population consisted of cybersecurity leaders from 3 government agencies and 9 organizations in …

Tailored Information Security Strategies For Financial Services Companies In Nigeria, Kayode Alawonde

Walden Dissertations and Doctoral Studies

Some financial institutions in Nigeria have not deployed strategies that mitigate cyber exploitation risks in the financial services industry. Financial institution leaders are concerned because cyber exploitation contributed to the reduction in the adult banking population to a low 38%. Grounded in the integrated systems theory of information security management, the purpose of this multiple case study was to explore strategies some financial institution leaders in Nigeria use to prevent cyber exploitations. The participants included 6 chief information security officers of 6 financial institutions. Data were collected from semistructured interviews and company and public documents. A thematic analysis identified themes …

Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii

Walden Dissertations and Doctoral Studies

Many data scientists are struggling to adopt effective data governance practices as they transition from traditional data analysis to big data analytics. Data governance of big data requires new strategies to deal with the volume, variety, and velocity attributes of big data. The purpose of this qualitative multiple case study was to explore big data governance strategies employed by data scientists to provide a holistic perspective of those data for making decisions. The participants were 10 data scientists employed in multiple mid-market companies in the greater Salt Lake City, Utah area who have strategies to govern big data. This study’s …

Strategies Used To Mitigate Social Engineering Attacks, Lindiwe T. Hove

Walden Dissertations and Doctoral Studies

Cybercriminal activity performed widely through social engineering attacks is estimated to be one of the substantial challenges the world will face over the next 20 years. Cybercriminal activity is important to chief information security officers (CISOs) because these attacks represent the largest transfer of economic wealth in history and pose risks to the incentives for organizational innovation and investment and eventually become more profitable than the global trade of all major illegal drugs combined. Grounded in the balanced control theory, the purpose of this multiple case study was to explore strategies CISOs use to mitigate social engineering attacks within their …

Implementation Considerations For Mitigating Bias In Supervised Machine Learning, Bardia Bijani Aval

CSB and SJU Distinguished Thesis

Machine Learning (ML) is an important component of computer science and a mainstream way of making sense of large amounts of data. Although the technology is establishing new possibilities in different fields, there are also problems to consider, one of which is bias. Due to the inductive reasoning of ML algorithms in creating mathematical models, the predictions and trends found by the models will never necessarily be true – just more or less probable. Knowing this, it is unreasonable for us to expect the applied deductive reasoning of these models to ever be fully unbiased. Therefore, it is important that …

Texas Landfills: The Need For Administrative Reform Of The Texas Commission On Environmental Quality’S Permitting Process, William Todd Keller Jr.

St. Mary's Law Journal

Abstract forthcoming

Social Responsibility Perceptions Of Community Flood Resilience In Nigeria, Reginald Olisa Oranye

Walden Dissertations and Doctoral Studies

Flooding is a severe threat to livelihoods and socioeconomic development in Ogbaru riverine communities of Anambra State, Nigeria. Limited success in the traditional approach of using predominantly structural measures, such as flood channels, to manage floods makes it imperative to explore nonstructural resilience initiatives that would potentially better protect vulnerable flood-prone communities. This study contributes to addressing the problems of ineffective flood management by developing vital social responsibility (SR) data and information that can enhance community flood resilience through individual and collective responsibilities for resilient action. The purpose of this quantitative correlational study was to explore SR perceptions of flood …

A Heuristic Baseline Method For Metadata Extraction From Scanned Electronic Theses And Dissertations, Muntabir H. Choudhury, Jian Wu, William A. Ingam, Edward A. Fox

Computer Science Faculty Publications

Extracting metadata from scholarly papers is an important text mining problem. Widely used open-source tools such as GROBID are designed for born-digital scholarly papers but often fail for scanned documents, such as Electronic Theses and Dissertations (ETDs). Here we present a preliminary baseline work with a heuristic model to extract metadata from the cover pages of scanned ETDs. The process started with converting scanned pages into images and then text files by applying OCR tools. Then a series of carefully designed regular expressions for each field is applied, capturing patterns for seven metadata fields: titles, authors, years, degrees, academic programs, …

Repurposing Visual Input Modalities For Blind Users: A Case Study Of Word Processors, Hae-Na Lee, Vikas Ashok, I.V. Ramakrishnan

Computer Science Faculty Publications

Visual 'point-and-click' interaction artifacts such as mouse and touchpad are tangible input modalities, which are essential for sighted users to conveniently interact with computer applications. In contrast, blind users are unable to leverage these visual input modalities and are thus limited while interacting with computers using a sequentially narrating screen-reader assistive technology that is coupled to keyboards. As a consequence, blind users generally require significantly more time and effort to do even simple application tasks (e.g., applying a style to text in a word processor) using only keyboard, compared to their sighted peers who can effortlessly accomplish the same tasks …

Towards Making Videos Accessible For Low Vision Screen Magnifier Users, Ali Selman Aydin, Shirin Feiz, Vikas Ashok, Iv Ramakrishnan

Computer Science Faculty Publications

People with low vision who use screen magnifiers to interact with computing devices find it very challenging to interact with dynamically changing digital content such as videos, since they do not have the luxury of time to manually move, i.e., pan the magnifier lens to different regions of interest (ROIs) or zoom into these ROIs before the content changes across frames.

In this paper, we present SViM, a first of its kind screen-magnifier interface for such users that leverages advances in computer vision, particularly video saliency models, to identify salient ROIs in videos. SViM's interface allows users to zoom in/out …

Rotate-And-Press: A Non-Visual Alternative To Point-And-Click, Hae-Na Lee, Vikas Ashok, I. V. Ramakrishnan

Computer Science Faculty Publications

Most computer applications manifest visually rich and dense graphical user interfaces (GUIs) that are primarily tailored for an easy-and-efficient sighted interaction using a combination of two default input modalities, namely the keyboard and the mouse/touchpad. However, blind screen-reader users predominantly rely only on keyboard, and therefore struggle to interact with these applications, since it is both arduous and tedious to perform the visual 'point-and-click' tasks such as accessing the various application commands/features using just keyboard shortcuts supported by screen readers.

In this paper, we investigate the suitability of a 'rotate-and-press' input modality as an effective non-visual substitute for the visual …

Mother Nature, Lady Justice: Ecofeminism And Judicial Decision-Making, Jonathan Alexis Picado

Open Access Theses & Dissertations

Ecofeminism offers a feminist perspective that links gender to how humans relate to the natural world. As such, this framework explores the connections between the oppression of nature and the oppression of women, such as widespread views that both women and nature are property, are to be dominated, and are most valuable when cultivated and curated by men. I apply this philosophical and sociological framework to judicial decision-making, where women judges should view environmental issues as women's issues and thus be more likely to vote in favor of the environmental protections relative to her male peers. I evaluate this theory …

Deep Learning For Overhead Imagery: Algorithms And Applications, Anthony Manuel Ortiz Cepeda

Open Access Theses & Dissertations

Remote sensing using overhead imagery has critical impact to the way we understand our environment and offers crucial information for scene understanding, climate change research, disaster response, urban planning, forest management, and many other applications. At present, deep learning is increasingly used in remote sensing, but mostly borrowing algorithms developed for natural images in the computer vision community. Specific challenges arise while applying deep learning to remote sensing. These challenges include issues related to the high dimensionality and limited labeled data, security and robustness to adversarial attacks, and model generalization. In this Thesis we focus on tackling these key challenges. …

Understanding The Connections: An Analysis Of Climate Change And Human Security, Erica Martinez

Open Access Theses & Dissertations

Increasing evidence shows that the impacts of anthropogenic climate change have magnified and will have dramatic implications for both the natural and social systems (Adger et al., 2014). While research on the security implications of climate change has been found to have a major bearing on policy making, experts have not reached a consensus about how climate change and human security are related, leaving the climate-security nexus and corresponding policies underdeveloped.

The purpose of this study is to delineate and scrutinize the relationship between climate change and human security so that a more comprehensive understanding of the phenomenon is achieved. …

Glacier Segmentation In Satellite Images For Hindu Kush Himalaya Region, Bibek Aryal

Open Access Theses & Dissertations

Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. Monitoring glaciers in the Himalayan Hindu Kush (HKH) region is of high importance especially when we consider the impact of recent climate change on them. Our work aims to provide an automated method to outline glaciers using machine learning techniques and publicly available remote sensing imagery.In this work, we present ways to delineate glaciers from Landsat-7 imagery using various machine learning and computer vision techniques. The multi-step methodology that we present in this work is generalizable across different types of satellite and overhead imagery, …

Divergence Of Safety And Security, David J. Brooks, Michael Coole

Research outputs 2014 to 2021

© 2020, The Author(s). Safety and security have similar goals, to provide social wellness through risk control. Such similarity has led to views of professional convergence; however, the professions of safety and security are distinct. Distinction arises from variances in concept definition, risk drivers, body of knowledge, and professional practice. This chapter explored the professional synergies and tensions between safety and security professionals, using task-related bodies of knowledge. Findings suggest that safety and security only have commonalities at the overarching abstract level. Common knowledge does exist with categories of risk management and control; however, differences are explicit. In safety, risk …

Architectural Heritage Images Classification Using Deep Learning With Cnn, Mohammed Hamzah Abed, Muntasir Al-Asfoor, Zahir M. Hussain

Research outputs 2014 to 2021

© 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). Digital documentation of cultural heritage images has emerged as an important topic in data analysis. Increasing the size and number of images to be processed making the task of categorizing them a challenging task and may take an inordinate amount of time. This research paper proposes a solution to the mentioned challenges by classifying the subject of the image of the study using Convolutional Neural Network. Classification of available images leads to improve the management of the images dataset and …

Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody

Research outputs 2014 to 2021

© The Author(s) 2020. The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. …

Distribution And Evolution Of Fukushima Dai-Ichi Derived 137cs, 90sr, And 129i In Surface Seawater Off The Coast Of Japan, Jennifer A. Kenyon, Ken O. Buesseler, Núria Casacuberta, Maxi Castrillejo, Shigeyoshi Otosaka, Pere Masqué, Jessica A. Drysdale, Steven M. Pike, Virginie Sanial

Research outputs 2014 to 2021

© 2020 American Chemical Society. The Fukushima Dai-ichi Nuclear Power Plants (FDNPPs) accident in 2011 led to an unprecedented release of radionuclides into the environment. Particularly important are 90Sr and 137Cs due to their known health detriments and long half-lives (T1/2 ≈ 30 y) relative to ecological systems. These radionuclides can be combined with the longer-lived 129I (T1/2 = 15.7 My) to trace hydrologic, atmospheric, oceanic, and geochemical processes. This study seeks to evaluate 137Cs, 90Sr, and 129I concentrations in seawater off the coast of Japan, reconcile the sources of contaminated waters, and assess the application of 137Cs/90Sr, 129I/137Cs, and …

Self-Supervised Learning To Detect Key Frames In Videos, Xiang Yan, Syed Zulqarnain Gilani, Mingtao Feng, Liang Zhang, Hanlin Qin, Ajmal Mian

Research outputs 2014 to 2021

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. Detecting key frames in videos is a common problem in many applications such as video classification, action recognition and video summarization. These tasks can be performed more efficiently using only a handful of key frames rather than the full video. Existing key frame detection approaches are mostly designed for supervised learning and require manual labelling of key frames in a large corpus of training data to train the models. Labelling requires human annotators from different backgrounds to annotate key frames in videos which is not only expensive and time consuming but …

Do Environmental And Financial Performances Affect Environmental Disclosures? Evidence From Listed Companies In Indonesia, Indah Fajarini Sri Wahyuningrum, Mochamad Arief Budihardjo, Fadel Iqbal Muhammad, Hadrian Geri Djajadikerta, Terri Trireksani

Research outputs 2014 to 2021

© 2020 by author(s) and VsI Entrepreneurship and Sustainability Center. The number of companies in Indonesia that have participated in environmental-related activities continues to grow. Some of these companies have also engaged and implemented an assessment program called Program for Pollution Control, Evaluation, and Rating (PROPER). This assessment program was initially launched by the Indonesian Ministry of Environment in 1995 to measure and rate the environmental performance of companies in Indonesia. They have also administered an environmental management system as part of their environmental protection initiatives. However, the level of environmental disclosure by these companies is still low. This may …

Security Techniques For Intelligent Spam Sensing And Anomaly Detection In Online Social Platforms, Monther Aldwairi, Lo'ai Tawalbeh

All Works

Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. The recent advances in communication and mobile technologies made it easier to access and share information for most people worldwide. Among the most powerful information spreading platforms are the Online Social Networks (OSN)s that allow Internet-connected users to share different information such as instant messages, tweets, photos, and videos. Adding to that many governmental and private institutions use the OSNs such as Twitter for official announcements. Consequently, there is a tremendous need to provide the required level of security for OSN users. However, there are many challenges due …

Phenotype Extraction: Estimation And Biometrical Genetic Analysis Of Individual Dynamics, Kevin L. Mckee

Theses and Dissertations

Within-person data can exhibit a virtually limitless variety of statistical patterns, but it can be difficult to distinguish meaningful features from statistical artifacts. Studies of complex traits have previously used genetic signals like twin-based heritability to distinguish between the two. This dissertation is a collection of studies applying state-space modeling to conceptualize and estimate novel phenotypic constructs for use in psychiatric research and further biometrical genetic analysis. The aims are to: (1) relate control theoretic concepts to health-related phenotypes; (2) design statistical models that formally define those phenotypes; (3) estimate individual phenotypic values from time series data; (4) consider hierarchical …

A Case Study: The Role Of Compassionate Cities, Healthy Cities, And Un Sustainable Development Goals In City Leadership And Planning, Lisa A. Berkley

Antioch University Dissertations & Theses

This research is a case study examining the relevance of three holistic city frameworks—Compassionate Cities, Healthy Cities, and UN Sustainable Development Goals—to the intentional or tacit thinking of city leaders, community leaders, and activists of Marina, California. Beginning with a discussion of the origin and development of the three frameworks, the study occurred in three phases: Phase I involved interviewing the five elected leaders, city manager, community development leaders, and two planners; Phase II consisted of a survey of appointed city leaders and community organizers and activists; and Phase III was an analysis of relevant public discourse, drawing from local …

Arising: Hurricane (Superstorm) Sandy’S Impact On Design/Planning Professionals, Maxinne R. Leighton

Antioch University Dissertations & Theses

Standing by my bedroom window, looking out at the ocean, a huge wave comes and swallows up my building. Everything around me is gone, including me. I wake up. I am 13 years old and living in the Coney Island Houses on Surf Avenue, Brooklyn, New York. With ongoing anthropogenic changes to the natural environment such as sea level rise and intensifying storms, coastal communities, especially ones segregated by class and culture, are particularly vulnerable in this context that challenges a way of life, and in some instances, threatens that life's survival. This dissertation focuses specifically on what one massive …

Wildland Fire Disturbance - Recovery Dynamics In Upland Forests At Acadia National Park, Maine, Jessica E. Charpentier

Antioch University Dissertations & Theses

The overall goal of this study was to evaluate whether coastal Maine (USA) forests are resilient to changing climate and fire regimes. The occurrence of a catastrophic wildfire at Acadia National Park (ANP) in 1947 provided a unique opportunity to examine the impacts of wildfire on forest dynamics in upland communities of coastal spruce-fir and northern hardwood forests of the Maine coast. This study, conducted 68 years after the stand-replacing 1947 Bar Harbor Fire, builds on studies by W.A. Patterson conducted in 1980 and 1992-1994, 33 and 45-47 years after the fire. There were two lines of investigation in this …

The Potential Role Of Payment For Ecosystem Services In Protected Area Management In Rwanda: A Case Study From Gishwati-Mukura National Park, Yves Gakunde

Antioch University Dissertations & Theses

The demand for ecosystem services (ES) by communities around the world especially from developing countries is increasing, and creates conflict between protected ecosystem management and community socioeconomic wellbeing needs, particularly around protected areas. Taking into consideration globalization, capitalism, weak policies, and population growth as some of the majors driving factors to land change, increased demand for ES comes in part from societies’ changing economic demands and opportunities, such as food and commercial crop production, timber extraction, urbanization, and infrastructural development. Many biodiversity conservation approaches and initiatives have been used to protect and maintain healthy ecosystems. While the fence and fine …