Digital Commons Network^™

Decreasing Trash In Local Creeks: A Program Evaluation Of The City Of San Jose’S Direct Discharge Trash Control Program, Lakeisha Bryant

Master's Projects

The entire San Francisco Bay was once a navigable waterway in the 1850s during the Gold Rush era. Large amounts of sediment from upstream erosion and mining flowed to the bay resulting in the downsizing of the bay’s square miles (Environmental Protection Agency, 2022). As a result of intense development on the bay shores and adjacent lands, the bay faces several challenges that affect its water quality and threatens aquatic ecosystems. Pesticides, mercury, metals, and pathogens are just a few substances in the bay that cause unhealthy conditions for aquatic life and threaten human health. California’s Water Resources Control Board …

The Microscopical Evidence Traces Analysis Of Household Dust And Its Statistical Significance As A Definitive Identification Technique, Stephanie Polifroni

Dissertations, Theses, and Capstone Projects

Evidence found at crime scenes is used to assist in creating a link the suspect, the victim, and the scene. As stated by the Locard’s Principle, every contact leaves a trace, that evidence can be used to link together an investigation. Traces are collected in hopes that they can be identified and associated to an individual or individuals to help solve that particular crime. However, the strongest conclusion for evidence traces is an association to a source, and unless a physical match of some kind is found, an individualization cannot be established even when known sample is available. However, having …

A Comparison Of Methods Used For The Elimination Of Organics From Soil Prior To Analysis By Ftir-Atr And Sem-Eds, Argeliz Pomales

Student Theses

This project suggests improvements to the treatment methods utilized for the sample preparation and evaluation of minerals in soil samples encountered in forensic science casework and research. The evaluation of pre-treated and post-treated soil samples were performed using Fourier-Transform Infrared Spectroscopy with Attenuated Total Reflection (FTIR-ATR) and Scanning Electron Microscopy-Energy Dispersive Spectroscopy (SEM-EDS). Because soil samples contain a significant amount of organic matter and water which interfere with examination of these minerals while using these instruments, pretreatment methods are necessary to isolate the mineral fraction for examination and analysis.

Soil samples were first sieved with various size stainless steel mesh …

Fair, Equitable, And Just: A Socio-Technical Approach To Online Safety, Daricia Wilkinson

All Dissertations

Socio-technical systems have been revolutionary in reshaping how people maintain relationships, learn about new opportunities, engage in meaningful discourse, and even express grief and frustrations. At the same time, these systems have been central in the proliferation of harmful behaviors online as internet users are confronted with serious and pervasive threats at alarming rates. Although researchers and companies have attempted to develop tools to mitigate threats, the perception of dominant (often Western) frameworks as the standard for the implementation of safety mechanisms fails to account for imbalances, inequalities, and injustices in non-Western civilizations like the Caribbean. Therefore, in this dissertation …

Policing By Proxy: Interrogating Big Tech's Role In Law Enforcement, Claire Elizabeth

University Honors Theses

Predictive policing, sometimes referred to as data-driven or actuarial policing, is a method of policing that uses a risk-based approach to law enforcement. For-profit technology companies market proprietary risk assessment algorithms to law enforcement organizations as tools meant to proactively mitigate crime. Using data collected from a vast array of sources, both personal and public, police are able to "predict" the likelihood of criminal activity in a given area using these algorithms. Proponents claim that risk assessment tools have the potential to fight crime with unbiased accuracy and speed by predicting when, where, and whom to police by relying on …

Investigating The Mechanisms Driving Mercury Reduction And Emissions In Soil, Hamil Patel

Student Theses

The water-induced emission of mercury from soil has been studied, but a complete understanding of the mechanisms driving mercury reduction and emission in soil has not been reached. The current understanding is an immediate expulsion of soil gaseous mercury upon water treatment and an upward transport of dissolved soil ionic mercury as the water evaporates. We analyzed emissions from several types of samples using various methods to further our understanding on the mechanisms involved. Light-induced emissions from aqueous samples of humic acid (HA) spiked with mercury (II) chloride (HgCl₂) showed that at higher concentrations of HA, less mercury …

The Application Of Electron Backscatter Diffraction To The Forensic Analysis Of Minerals, Tiffany J. Millett

Dissertations, Theses, and Capstone Projects

Electron Backscatter Diffraction has been largely used in the metallurgic and material sciences and until now, has found few applications in the forensic sciences. One of the few utilizations of this technique in forensic science is in firearm serial number restoration as a complementary technique to the time-consuming and tedious chemical etching methods. This research aims to expand the uses of Electron Backscatter Diffraction in the forensic sciences as it applies to other types of samples, specifically as it pertains to forensic mineral analysis.

Electron Backscatter Diffraction offers the analyst information regarding crystal structure of a material, so long as …

Data Ethics: An Investigation Of Data, Algorithms, And Practice, Gabrialla S. Cockerell

Honors Projects

This paper encompasses an examination of defective data collection, algorithms, and practices that continue to be cycled through society under the illusion that all information is processed uniformly, and technological innovation consistently parallels societal betterment. However, vulnerable communities, typically the impoverished and racially discriminated, get ensnared in these harmful cycles due to their disadvantages. Their hindrances are reflected in their information due to the interconnectedness of data, such as race being highly correlated to wealth, education, and location. However, their information continues to be analyzed with the same measures as populations who are not significantly affected by racial bias. Not …

Fairness In Social Networks, Zeinab Saghati Jalali

Dissertations - ALL

In professional and other social settings, networks play an important role in people's lives. The communication between individuals and their positions in the network, may have a large impact on many aspects of their lives.In this work, I evaluate fairness from different perspectives.First,tomeasurefairnessfromgroupperspective,Iproposethenovelinformation unfairness criterion, which measures whether information spreads fairly to different groups in a network. Using this criterion, I perform a case study and measure fairness in information flow in different computer science co-authorship networks with respect to gender. Then, I consider two applications and show how to increase fairness with respect to a fairness metric. The first …

Use Of Consumer Grade Small Unmanned Aerial Systems (Suas) For Mapping Storm Damage In Forested Environments, James Dewey Cox

Theses and Dissertations

Storm damages to forested environments pose significant challenges to landowners, land managers, and conservationists alike. Damage scope and scale assessments can be difficult, costly, and time consuming with conventional pedestrian survey techniques. Consumer grade sUAS technology offers an efficient, cost-effective way to accurately assess storm damage in small to moderate sized survey areas (less than 10 km²). Data were collected over a 0.195 km² area of damaged timber within the Kisatchie National Forest in Central Louisiana using a DJI Mavic 2 Pro drone. Collected imagery was processed into an orthomosaic using Agisoft Metashape Professional with a resulting ground sampling distance …

Built Environment, Land Use, And Crime: A Las Vegas Study, Stacey Lynn Clouse

UNLV Theses, Dissertations, Professional Papers, and Capstones

This study examined land use and crime against persons and crime against property in Las Vegas, Nevada at varying spatial levels of analysis. Using crime data provided by the Las Vegas Metropolitan Police Department and the Clark County Assessor’s office, results at the macro-level of analysis reveal that property crime rates concentrated on commercial, transportation, communication and utilities, and industrial land use, whereas violent crime concentrated at commercial, multi-residential, and civic, institutional, and recreational land use. Upon examining the subtypes of land use that generate or radiate more crime, property crime concentrated on transportation land use, class 1 resorts, and …

Driving Under The Influence Of Drugs: Status In New York City And Development Of New Analytical Tools, Kayla Marschke

Student Theses

Driving under the influence of drugs (DUID) cases have increased in recent years. According to NHTSA, drug use among fatally injured drivers who were tested for drugs rose from 25% in 2007 to 61.4% in 2020. Knowing what drugs are used by the drivers and developing new analytical tools to detect them are essential to prevent this type of cases. The goals of this study were two-fold: 1) To investigate the prevalence of drugs and drug combinations in New York City based on data provided by the Office Chief Medical Examiner (2018-2019); 2) To develop and validate an analytical method …

An Exploratory Data Analysis On Covid-19 And Its Effects On Crime In New York City, Lanlie Nguyen

Honors Projects

The purpose of this study was to analyze the effects of the COVID-19 pandemic and how it has affected the crime rates present in New York City over the years of 2019 and 2020. There is limited criminal research that investigate the connection to pandemics, and how it can be used to reduce crime rates in similar situations. The goal of this study is to reduce crime rates and provide possible policy implications.

This project analyzes the crime rate trends present before and during the COVID-19 pandemic, and compares it to the number of COVID-19 cases. Analysis of the statewide …

Home: “People As Place”, Amory Ballantine

MSW Capstones

Crises of climate breakdown, ocean acidification, mass extinction, pollution and other forms of environmental degradation demand global transformation. Direct and clinical social workers are on the front lines of responses to the social consequences of these crises. They have critical skills needed for socially and environmentally sustainable solutions to these problems. Yet for the most part, direct and clinical social workers are not engaged in environmental action and do not see their work as “environmental social work.” Micro-level workers need information and resources in order to integrate environmental health in practice, and particularly tools which center the needs of the …

Opioid Use Disorder Treatment With Buprenorphine: Analysis Of Treatment Utilization And Associated Outcomes In Kentucky, Feitong Lei

Theses and Dissertations--Epidemiology and Biostatistics

Opioid use disorder (OUD) is chronic opioid use that results in clinically significant suffering, impairment, or even death. The opioid epidemic in the United States has become a public health and economic crisis, affecting patients' well-being and the nation's overall health and welfare. Eastern Kentucky was among the first regions affected by the opioid crisis, and Kentucky has historically ranked among the top five states for age-adjusted drug overdose mortality rate.

There are three medications (buprenorphine, methadone, naltrexone) approved by the U.S. Food and Drug Administration to treat OUD. As a partial opioid agonist, buprenorphine is a safe medication for …

Strategies Using Threat Intelligence To Detect Advanced Persistent Threats: A Qualitative Case Study, Melisa A. Joyner

Walden Dissertations and Doctoral Studies

Advanced persistent threats (APTs) targeting critical infrastructures can adversely impact human lives. Cyber security analysts are concerned with APT attacks because they make it challenging to defend critical infrastructures. Grounded in routines activity theory (RAT), the purpose of this qualitative exploratory multiple case study was to explore strategies cybersecurity analysts use to defend critical infrastructures from APT attacks. Data were collected through interviews with 8 participants and documents from two organizations. Participants were required to have experience analyzing network traffic on a critical infrastructure network, one year of cyber threat hunting experience, prior or current knowledge of cyber threat intelligence …

Examination Of Strategies To Implementing Chip-And-Personal Identification Number Credit Card Authentication Infrastructures, Neville Arthur Gallimore

Walden Dissertations and Doctoral Studies

Chip-and-Personal Identification Number (PIN) technology is seen as a game changer in many e-commerce industries and a transformational technology in the 21st century. However, security concerns have made chip-and-PIN adoption relatively slow. Massive unauthorized card payment transactions in the United States (U.S.) cost victims an estimate totaling billions of dollars. Information Technology (IT) managers are concerned with credit card fraud's financial loss and liability cost. Grounded in Rogers’s diffusion of innovation theory, the purpose of this qualitative pragmatic study was to explore strategies used by IT managers to transition their e-commerce organizations to chip-and-PIN credit card authentication infrastructures. The participants …

Strategies Business Leaders Use To Mitigate Online Credit Card Fraud, Clarissa Rosario-Tavarez

Walden Dissertations and Doctoral Studies

Online credit card fraud targeting banks, customers, and businesses costs millions of U.S. dollars annually. Online business leaders face challenges securing and regulating the online payment processing environment. Grounded in the situational crime prevention theory, the purpose of this qualitative multiple case study was to explore strategies online business leaders use to mitigate the loss of revenue caused by online credit card fraud. The participants comprised five online business leaders of an organization in the Southwest of the United States, who implemented strategies that successfully mitigated revenue losses due to online credit card fraud. The data were collected from semistructured …

Addressing Human-Centered Artificial Intelligence: Fair Data Generation And Classification And Analyzing Algorithmic Curation In Social Media, Amirarsalan Rajabi

Electronic Theses and Dissertations, 2020-2023

With the growing impact of artificial intelligence, the topic of fairness in AI has received increasing attention. Artificial intelligence is observed to have caused unanticipated negative consequences. In this dissertation, we address two critical aspects regarding human-centered artificial intelligence (HCAI), a new paradigm for developing artificial intelligence that is ethical, fair, and helps to improve the human condition. In the first part of this dissertation, we investigate the effect that AI curation of contents by social media platforms has on an online discussions, by studying a polarized discussion in the Twitter network. We then develop a network communication model that …

Computer Enabled Interventions To Communication And Behavioral Problems In Collaborative Work Environments, Ashutosh Shivakumar

Browse all Theses and Dissertations

Task success in co-located and distributed collaborative work settings is characterized by clear and efficient communication between participating members. Communication issues like 1) Unwanted interruptions and 2) Delayed feedback in collaborative work based distributed scenarios have the potential to impede task coordination and significantly decrease the probability of accomplishing task objective. Research shows that 1) Interrupting tasks at random moments can cause users to take up to 30% longer to resume tasks, commit up to twice the errors, and experience up to twice the negative effect than when interrupted at boundaries 2) Skill retention in collaborative learning tasks improves with …

Exploring Algorithmic Literacy For College Students: An Educator’S Roadmap, Susan Gardner Archambault

LMU/LLS Theses and Dissertations

Research shows that college students are largely unaware of the impact of algorithms on their everyday lives. Also, most university students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aimed to explore subject-matter experts’ insights and perceptions of the knowledge components, coping behaviors, and pedagogical considerations to aid faculty in teaching algorithmic literacy to college students. Eleven individual, semi-structured interviews and one focus group were conducted with scholars and teachers of critical algorithm studies and related fields. Findings suggested three sets of knowledge components that would contribute to students’ algorithmic literacy: general …

A Cloud Computing-Based Dashboard For The Visualization Of Motivational Interviewing Metrics, E Jinq Heng

Browse all Theses and Dissertations

Motivational Interviewing (MI) is an evidence-based brief interventional technique that has been demonstrated to be effective in triggering behavior change in patients. To facilitate behavior change, healthcare practitioners adopt a nonconfrontational, empathetic dialogic style, a core component of MI. Despite its advantages, MI has been severely underutilized mainly due to the cognitive overload on the part of the MI dialogue evaluator, who has to assess MI dialogue in real-time and calculate MI characteristic metrics (number of open-ended questions, close-ended questions, reflection, and scale-based sentences) for immediate post-session evaluation both in MI training and clinical settings. To automate dialogue assessment and …

Gauge Against The Machine: Improving Representations Within Sociotechnical Instruments To Enrich Context And Identify Biases, Joshua Minot

Graduate College Dissertations and Theses

The proliferation of digital data across all areas of society has transformed our ability to hypothesize, study, and understand social systems.From this richness of data we have seen the development of innovative instruments to study---and make decisions with---the digital artifacts of the modern day. These developments build on advancements in computation, connectivity, analytical methodologies, and sociological theories. The sociotechnical instruments we have developed have been revolutionary to how we understand society and how we conduct business, but with these broad leaps comes ample room (and need) for more nuanced advancements. As with the development of any field, as the digital …

A Human-Centered Approach To Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi

Electronic Theses and Dissertations, 2020-2023

Computational risk detection has the potential to protect especially vulnerable populations from online victimization. Conducting a comprehensive literature review on computational approaches for online sexual risk detection led to the identification that the majority of this work has focused on identifying sexual predators after-the-fact. Also, many studies rely on public datasets and third-party annotators to establish ground truth and train their algorithms, which do not accurately represent young social media users and their perspectives to prevent victimization. To address these gaps, this dissertation integrated human-centered approaches to both creating representative datasets and developing sexual risk detection machine learning models to …

An Empirical Investigation Of The Evidence Recovery Process In Digital Forensics, Kevin Parviz

CCE Theses and Dissertations

The widespread use of the digital media in committing crimes, and the steady increase of their storage capacity has created backlogs at digital forensic labs. The problem is exacerbated especially in high profile crimes. In many such cases the judicial proceedings mandate full analysis of the digital media, when doing so is rarely accomplished or practical. Prior studies have proposed different phases for forensic analysis, to lessen the backlog issues. However, these phases are not distinctly differentiated, and some proposed solutions may not be practical. This study utilized several past police forensic analyses. Each case was chosen for having five …

The Global Impact Of Covid-19 And Tourism On Conservation Rangers' Guardianship Capabilities, Zachary Bockler

Honors Undergraduate Theses

This thesis explores how the COVID-19 pandemic has impacted wildlife rangers with an emphasis on the influences of tourism rates. Two sets of data are used: one is a survey of rangers around the world and the other looks at global governmental tourism data. While coming from a routine activities perspective, the problem of decreased capable guardianship becomes apparent in the form of massively decreased tourism arrivals and troubling ranger perceptions. This data allows for the establishment of tourism trends and changes during COVID. The findings of this thesis link the downturn in tourism with impacts on formal and informal …

Codis: Community Detection Via Distributed Seed-Set Expansion On Graph Streams, Austin Anderson

Master's Projects

Community detection has been and remains a very important topic in several fields. From marketing and social networking to biological studies, community detec- tion plays a key role in advancing research in many different fields. Research on this topic originally looked at classifying nodes into discrete communities, but eventually moved forward to placing nodes in multiple communities. Unfortunately, community detection has always been a time-inefficient process, and recent data sets have been simply to large to realistically process using traditional methods. Because of this, recent methods have turned to parallelism, but all these methods, while offering sig- nificant decrease in …

Social Disorganisation Theory And Violent Crime: A Spatial-Econometric Analysis Of Chicago And Sydney, Anthony N. Greening

Theses: Doctorates and Masters

The spatialisation of violent crime is explored in two large case studies, Chicago and Sydney, using spatial econometric methods and macro-sociological variables derived from Social Disorganisation Theory.

Social Disorganisation Theory (SDT) is introduced in terms of its formulation in response to highly specific conditions arising in Chicago, as well as its adoption of methodological and theoretical developments from existing traditions. This specificity belies its breadth of application and enduring presence in criminology. With “Social Disorganisation Theory” hosting a wealth of highly nuanced academic dialogue conducted under its banner, current incarnations of SDT appear as branches on an evolutionary tree. This …

Evaluating The Validity And Reliability Of Textile And Paper Fracture Characteristics In Forensic Comparative Analysis, Zachary Bailey Andrews

Graduate Theses, Dissertations, and Problem Reports

In a comparative forensic analysis, an examiner can report that a physical fit exists between two torn or separated items when they realign in a manner unlikely to be replicated. Due to the common belief that it is unlikely that two unrelated fractured objects would match with distinctive characteristics, a physical fit represents the highest degree of association between two items. Nonetheless, despite the probative value that this evidence could have to a trier of fact, few studies have demonstrated such assumptions' scientific validity and reliability. Moreover, there is a lack of consensus-based standard protocols for physical fit comparisons, making …

Analysis Of Forensically Relevant Evidence Using Electrochemistry, Spectroscopy, And Mass Spectrometry Tools, Colby Edward Ott

Graduate Theses, Dissertations, and Problem Reports

Forensic science relies on the use of multiple techniques in the assessment of evidence to increase the accuracy and reliability of the results. However, with the rapidly changing drug landscape due to the introduction of novel psychoactive substances, many traditional screening methods are no longer sensitive or selective enough for use. Additionally, many screening methods such as chemical color tests are prone to false positive and negative results and are subjective. Therefore, the goal of this dissertation was to develop a novel analytical scheme that can provide a more efficient, rapid, and sensitive method that will facilitate adoption in the …