Social and Behavioral Sciences Commons^™

Quantifying Surface Severity Of The 2014 And 2015 Fires In The Great Slave Lake Area Of Canada, Nancy H. F. French, Jeremy Graham, Ellen Whitman, Laura Bourgeau-Chavez

Michigan Tech Publications, Part 1

The focus of this paper was the development of surface organic layer severity maps for the 2014 and 2015 fires in the Great Slave Lake area of the Northwest Territories and Alberta, Canada, using multiple linear regression models generated from pairing field data with Landsat 8 data. Field severity data were collected at 90 sites across the region, together with other site metrics, in order to develop a mapping approach for surface severity, an important metric for assessing carbon loss from fire. The approach utilised a combination of remote sensing indices to build a predictive model of severity that was …

Memory Foreshadow: Memory Forensics Of Hardware Cryptocurrency Wallets – A Tool And Visualization Framework, Tyler Thomas, Mathew Piscitelli, Ilya Shavrov, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

We present Memory FORESHADOW: Memory FOREnSics of HArDware cryptOcurrency Wallets. To the best of our knowledge, this is the primary account of cryptocurrency hardware wallet client memory forensics. Our exploratory analysis revealed forensically relevant data in memory including transaction history, extended public keys, passphrases, and unique device identifiers. Data extracted with FORESHADOW can be used to associate a hardware wallet with a computer and allow an observer to deanonymize all past and future transactions due to hierarchical deterministic wallet address derivation. Additionally, our novel visualization framework enabled us to measure both the persistence and integrity of artifacts produced by the …

Exploring The Learning Efficacy Of Digital Forensics Concepts And Bagging & Tagging Of Digital Devices In Immersive Virtual Reality, Courtney Hassenfeldt, Jillian Jacques, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

This work presents the first account of evaluating learning inside a VR experience created to teach Digital Forensics (DF) concepts, and a hands-on laboratory exercise in Bagging & Tagging a crime scene with digital devices. First, we designed and developed an immersive VR experience which included a lecture and a lab. Next, we tested it with (n = 57) participants in a controlled experiment where they were randomly assigned to a VR group or a physical group. Both groups were subjected to the same lecture and lab, but one was in VR and the other was in the real world. …

Logistic Regression Under Sparse Data Conditions, David A. Walker, Thomas J. Smith

Journal of Modern Applied Statistical Methods

The impact of sparse data conditions was examined among one or more predictor variables in logistic regression and assessed the effectiveness of the Firth (1993) procedure in reducing potential parameter estimation bias. Results indicated sparseness in binary predictors introduces bias that is substantial with small sample sizes, and the Firth procedure can effectively correct this bias.

Estimating A Multilevel Model With Complex Survey Data: Demonstration Using Timss, Julie Lorah

Journal of Modern Applied Statistical Methods

Analysis of complex survey data is demonstrated for the multilevel model. Description of specific aspects of analysis, including plausible values, sampling weights, and replicate weights is provided. Following this, example TIMSS data and models are described and results are presented.

Rainfall Interception And Redistribution By A Common North American Understory And Pasture Forb, Eupatorium Capillifolium (Lam. Dogfennel), D. Alex Gordon, Miriam Coenders-Gerrits, Brent A. Sellers, S. M. Moein Sadeghi, John T. Van Stan Ii

Earth, Environment & Sustainability: Faculty Publications

In vegetated landscapes, rain must pass through plant canopies and litter to enter soils. As a result, some rainwater is returned to the atmosphere (i.e., interception, I) and the remainder is partitioned into a canopy (and gap) drip flux (i.e., throughfall) or drained down the stem (i.e., stemflow). Current theoretical and numerical modeling frameworks for this process are almost exclusively based on data from woody overstory plants. However, herbaceous plants often populate the understory and are the primary cover for important ecosystems (e.g., grasslands and croplands). This study investigates how overstory throughfall (P_T,o) is partitioned into …

Removing Racially Biased Algorithms In Policing, Andie Lee

Student Papers in Public Policy

Local police departments use algorithm-based programs to do police work and predict crime. Technology has created the police tactic of predictive crime prevention. Police work, however, requires social skills, assessment of the environment, and most importantly human interaction. Automated policing lacks these characteristics. Moreover, the algorithms used to make crime predictions and risk assessments have disproportionately affected minorities.

The Case For Online Ranked-Choice Voting, Rayyan Khan

Student Papers in Public Policy

Maine was the first to embrace ranked-choice voting on a statewide level in 2018, using it for all state and general elections. Maine voters will be the first to use ranked-choice voting in a presidential election in 2020. This system differs from traditional voting in that voters rank candidates rather than choose just one. Supporters of ranked-choice voting tout it as a better model for accurately representing the values of the voting population; however, a study conducted in San Francisco details a potential shortfall referred to as “ballot fatigue” that the theoretically-ideal system may face as it struggles to deal …

Waste Management In The Global South: An Inquiry On The Patterns Of Plastic And Waste Material Flows In Colombo, Sri Lanka, Katie Ann Conlon

Dissertations and Theses

Global plastic production continues to increase at an exponential pace, and global waste projections show waste generation rising by 70% by 2050. Plastic waste connects to all social processes, especially within the context of urbanization and development; urban planning and land management; GHG emissions; labor; social equity; public health; rural-to-urban migration; increasing population; increasing consumption; climate change; etc. The focus of this dissertation is an analysis of waste management practices in Sri Lanka using a grounded theory based methodology, with a goal to better understand the social and ecological impacts of plastic waste in Sri Lanka. This research fills a …

Concomitant Of Order Statistics From New Bivariate Gompertz Distribution, Sumit Kumar, M. J. S. Khan, Surinder Kumar

Journal of Modern Applied Statistical Methods

For the new bivariate Gompertz distribution, the expression for probability density function (pdf) of r^th order statistics and pdf of concomitant arising from r^th order statistics are derived. The properties of concomitant arising from the corresponding order statistics are used to derive these results. The exact expression for moment generating function (mgf) of concomitant of order r^th statistics is derived. Also, the mean of concomitant arising from r^th order statistics is computed using the mgf of concomitant of r^th order statistics, and the exact expression for joint density of concomitant of two non-adjacent order statistics …

The Concept Of Natureculture Document: A Conceptual Exploration Of Seeds, Embodied Information, And Unconventional Records, Marc Kosciejew

Journal of Contemporary Archival Studies

Seedbanks, or so-called archival arks of the apocalypse, are addressing accelerating anthropocentric alterations to the environment by collecting, storing, and preserving seeds. These are specialized archival repositories that approach, frame, and use seeds as documents for agricultural and scientific research, classification and preservation work, and various other archival and administrative purposes. Seedbanks indeed are archives of unconventional records.

This article introduces the concept of natureculture document as a framing device in which to help analyze the documentary status of objects that are not necessarily or usually considered as documents or having documentary characteristics. This concept, coupled with its interdisciplinary theoretical …

Technology Belmont Data, Christopher Monz, Vera Hausner, Jennifer Schmidt

Browse all Datasets

The data is based on semi-structured household interviews conducted in Noatak (n = 12), Noorvik (n = 11), and Brevig Mission (n = 12) in the March of 2017. Information gathered consists of individuals use of technology, perceptions about how technology has helped or hindered their ability to do subsistence and address the changing climate, and the role of technology in the community. Demographic information includes gender, race, education, household size, and employment status. Individuals who were particularly knowledgeable and amendable participated in a q-sort exercise to assess values and beliefs regarding technology in their community. Individual records are confidential …

Ocean Resilience Ocg 601, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Developing Employment Environments Where Individuals With Asd Thrive: Using Machine Learning To Explore Employer Policies And Practices, Amy Jane Griffiths, Amy E. Hurley Hanson, Cristina M. Giannantonio, Sneha Kohli Mathur, Kayleigh Hyde, Erik Linstead

Education Faculty Articles and Research

An online survey instrument was developed to assess employers’ perspectives on hiring job candidates with Autism Spectrum Disorder (ASD). The investigators used K-means clustering to categorize companies in clusters based on their hiring practices related to individuals with ASD. This methodology allowed the investigators to assess and compare the various factors of businesses that successfully hire employees with ASD versus those that do not. The cluster analysis indicated that company structures, policies and practices, and perceptions, as well as the needs of employers and employees, were important in determining who would successfully hire individuals with ASD. Key areas that require …

Personalized Medicine: The Use Of Biomarkers And Molecularly Targeted Therapies For Patient Care And Cancer Intervention, Wafa Asad, Emily Schmitt Lavin

Mako: NSU Undergraduate Student Journal

Personalized medicine and targeted therapy have been emerging fields of study for the remediation and inhibition of cancer. Personalized medicine in the treatment of cancer involves using genetic, immune, and proteomic profiling to provide therapeutic options as well as prognostic background for every patient and their tumor’s genetic mutations. Targeted therapies allow researchers and medical personnel alike to determine the appropriate treatment for a patient based on the molecular basis and mechanistic actions of a cancerous tumor. The overall significance of this study was to express how these treatments use biomarkers to pinpoint the location, and severity of the cancer, …

Spatiotemporal Variations Of City-Level Carbon Emissions In China During 2000–2017 Using Nighttime Light Data, Yu Sun, Sheng Zheng, Yuzhe Wu, Uwe Schlink, Ramesh P. Singh

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

China is one of the largest carbon emitting countries in the world. Numerous strategies have been considered by the Chinese government to mitigate carbon emissions in recent years. Accurate and timely estimation of spatiotemporal variations of city-level carbon emissions is of vital importance for planning of low-carbon strategies. For an assessment of the spatiotemporal variations of city-level carbon emissions in China during the periods 2000–2017, we used nighttime light data as a proxy from two sources: Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The results …

Green Awareness, Practices And Sustainability: A Case Study Of The Royal Malaysian Navy, Muhamad Azwandi Azlan

Student Works (2020-2029)

The Royal Malaysian Navy (RMN) has taken an integrated green navy approach to conserve environment, and at the same time, to explore renewable energy by utilizing its own resources and capability. This is a noble manifestation of the RMN's commitment to the government's efforts in conserving the environment, in the interest of future generations. The focus of this study is to explore the perceptions of the naval staff towards green navy implementation. In this regard, this study aims to understand: (i) the awareness and understanding of green concepts by the naval personnel, (ii) the importance of green concepts for the …

Simple Unequal Allocation Procedure For Ranked Set Sampling With Skew Distributions, Dinesh Bhoj, Girish Chandra

Journal of Modern Applied Statistical Methods

A practical unbalanced Ranked Set Sampling (RSS) model is proposed to estimate the population mean of positively skewed distributions. The gains in the relative precisions of the population mean based on the proposed model for chosen distributions are uniformly higher than those based on balanced RSS and the t-model proposed in Kaur et al. (1997). The relative precisions of the simple unequal allocation model are, with one exception, better than (s, t)-model which is better than t-model. The relative precision of the proposed model is very close or equal to the optimal Neyman allocation model.

A Primer On Statistical Inferences For Finite Populations, Thomas R. Knapp

Journal of Modern Applied Statistical Methods

This primer is intended to provide the basic information for sampling without replacement from finite populations.

Almost All Missing Data Are Mnar, Thomas R. Knapp

Journal of Modern Applied Statistical Methods

Rubin (1976, and elsewhere) claimed that there are three kinds of “missingness”: missing completely at random; missing at random; and missing not at random. He gave examples of each. The article that now follows takes an opposing view by arguing that almost all missing data are missing not at random.

Jmasm 54: A Comparison Of Four Different Estimation Approaches For Prognostic Survival Oral Cancer Model, Wan Muhamad Amir, Muhammad Azeem, Masitah Hayati Harun, Zalila Ali, Mohamad Shafiq

Journal of Modern Applied Statistical Methods

Four types of estimation approaches for prognostic survival oral cancer model building are considered via a SAS algorithm: Efron’s Method, Exact Method, Breslow’s Method, and Discrete Method. Each method is illustrated separately and compared according to their coefficient parameter. An approach is considered by adding a bootstrapping technique for each handling ties method and a complete SAS algorithm is supplied for each proposed method, including methods for handling ties.

Agate Fossil Beds National Monument, Paleontological Resources Management Plan (Public Version), Scott Kottkamp, Vincent L. Santucci, Justin S. Tweet, Jessica De Smet, Ellen Stark

United States National Park Service: Publications

Executive Summary

Since Agate Springs Ranch was founded by James H. Cook in 1887, exquisite examples of transitional Miocene mammalian fauna have been found along this stretch of the Niobrara River valley. Collectively these paleontological discoveries, along with the existing archeological and historical Native American collection, were the basis for establishing Agate Fossil Beds National Monument (AGFO) as a unit of the National Park System (NPS). The fossil remains from the Harrison and Anderson Ranch formations span a short, but important, time period within the Miocene Epoch. AGFO has provided science with an intimate look into North American mammalian evolution …

Mapping Geographical Inequalities In Access To Drinking Water And Sanitation Facilities In Low-Income And Middle-Income Countries, 2000–17, Aniruddha Deshpande, Robert C. Reiner Jr, Veincent Christian F. Pepito, Arianna Maever L. Amit, Local Burden Of Disease Wash Collaborators, 665 Co-Authors

Ateneo School of Medicine and Public Health Publications

Background

Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities.

Methods

We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant …

College Of Natural Sciences Newsletter, September 2020, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Issue 1. Volume 8

Contents:

Dean’s Update P.1
Awards & Recognition P.2
Interest in Science | Competitions P.3
Open PRAIRIE | ODFS Recap P.4
ODFS Recap | Research Spotlight P.5
Spring 2020 Dean’s List P.6-7

Integrating Affect Perception Tasks From The New York Emotion Battery Into A Comprehensive Measure Of Neuropsychological Change Across The Lifespan, Melinda A. Cornwell

Dissertations, Theses, and Capstone Projects

Background: The ability to perceive others’ emotions is a vital skill for social competency, impacting the success of personal and professional relationships (Brinton & Fujiki, 2011; Cassidy et al., 1992; Côté & Miners, 2006). According to Socioemotional Selectivity Theory (SST; Carstensen, 1991), human motivation develops to become more discerning in choosing milieus that yield the most gratifying return on the investment of personal resources (e.g., time, attention, and effort), perhaps explaining why some research findings indicate that older adults may demonstrate an affect perception (AP) bias described as a positivity effect (Reed et al., 2014). Moreover, AP predicts cognitive and …

Visualization Research Lab At Hkust, Yong Wang

Research Collection School Of Computing and Information Systems

HKUST VisLab (http://vis.cse.ust.hk/) is one of the leading research labs in the field of data visualization and human-computer interaction worldwide. The lab is dedicated to conducting cutting-edge research on data visualization and human-computer interaction to facilitate data exploration and analytics in various application domains, including E-learning, urban computing, social media and industry 4.0. Starting from its foundation by Prof. Huamin Qu in August 2004, the mission of HKUST VisLab is to build an excellent visualization research center and foster data visualization research and talent cultivation in Asia, as there were very few visualization researchers in Asia around 2004.

Research 4.0: Research In The Age Of Automation, Rob Procter, Ben Glover, Elliot Jones

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

There is a growing consensus that we are at the start of a fourth industrial revolution, driven by developments in Artificial Intelligence, machine learning, robotics, the Internet of Things, 3-D printing, nanotechnology, biotechnology, 5G, new forms of energy storage and quantum computing. This wave of technical innovations is already having a significant impact on how research is conducted, with dramatic change across research methods in recent years within some disciplines, as this project’s interim report set out.

Whilst there are a wide range of technologies associated with the fourth industrial revolution, this report primarily seeks to understand what …

Analysis Of The Benefits Of Green Streets, Christopher E. Ferrell, John M. Eells, Richard W. Lee, Reyhane Hosseinzade

Mineta Transportation Institute

Green streets offer many potential benefits that include improving water quality, absorbing carbon (sequestration), and reducing urban heat island effects. This report summarizes: (1) the research team’s analysis of 14 tools calculating green streets benefits; and (2) the results of applying the most promising calculators to a select group of green streets case studies. The researchers are affiliated with the Mineta Transportation Institute, which serves the California Department of Transportation (“Caltrans”). The report presents the results of the case study analyses, with an emphasis on carbon sequestration benefits and improvements to pedestrian levels of service (PLOS).

Trees absorb carbon dioxide …

Is The Transit Industry Prepared For The Cyber Revolution? Policy Recommendations To Enhance Surface Transit Cyber Preparedness, Scott Belcher, Terri Belcher, Eric Greenwald, Brandon Thomas

Mineta Transportation Institute

The intent of this study is to assess the readiness, resourcing, and structure of public transit agencies to identify, protect from, detect, respond to, and recover from cybersecurity vulnerabilities and threats. Given the multitude of connected devices already in use by the transit industry and the vast amount of data generated (with more coming online soon), the transit industry is vulnerable to malicious cyber-attack and other cybersecurity-related threats. This study reviews the state of best cybersecurity practices in public surface transit; outlines U.S. public surface transit operators’ cybersecurity operations; assesses U.S. policy on cybersecurity in public surface transportation; and provides …

Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng

Research Collection School Of Computing and Information Systems

Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this as a bus frequency optimization problem which tries to minimize passengers’ average waiting time. However, many investigations have confirmed that the user satisfaction drops faster as the waiting time increases. Consequently, this paper studies the bus frequency optimization problem considering the user satisfaction. Specifically, for the first time to our best knowledge, we study how to schedule the buses such that the total number of passengers who could receive their bus services …