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2022

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Cancer Related Cognitive Impairment In Breast Cancer Patients: Guidelines For Neuropsychological Evaluation And Management, Ali Al-Humadi Jan 2022

Cancer Related Cognitive Impairment In Breast Cancer Patients: Guidelines For Neuropsychological Evaluation And Management, Ali Al-Humadi

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

Current literature indicates there is still some debate regarding the scope and severity of cancer treatment related cognitive impairment (CRCI), with a wide variety of complex factors contributing to cognitive decline and discrepancies between objective findings and patient self-report. This paper aims to provide guidelines for neuropsychological evaluation, management, and rehabilitation of CRCI in breast cancer patients based on current research. This paper also aims to discuss current research on proposed mechanisms of action for CRCI, the cognitive domains affected in CRCI, and significant bio-psycho-social risk factors impacting CRCI.

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The Impact Of A Relationship Education Program On Health Disparities Among Pregnant Women, Anne Clara Biermann Jan 2022

The Impact Of A Relationship Education Program On Health Disparities Among Pregnant Women, Anne Clara Biermann

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

Health disparities amongst pregnant individuals of color have long been documented and yet, they persist. While there is growing recognition, the search continues for solutions to close the health disparity gap between White women and women of color. This research is a follow-up to a 2022 study exploring the impact of the MotherWise program on birth outcomes. MotherWise provides an individual-oriented relationship education program and case management service for minority and low-income pregnant women in Colorado. This research further explores a positive trend of the program's impact on preterm birth rates by examining differential effects of participation by race. In …

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Asexuality And Demisexuality: Clinical Implications Of Sexual Identity, Michael Scott Fiorini Jan 2022

Asexuality And Demisexuality: Clinical Implications Of Sexual Identity, Michael Scott Fiorini

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

This paper considers demisexuality as an identity and sexual orientation for use by psychologists using historical, sociological, and psychological perspectives. It discusses the clinical implications of demisexuality as an identity and orientation distinct from asexuality. The paper discusses applications and limitations of defining and identifying demisexuality in a clinical population and it's social, scientific, and contextual significance. The paper compares what can be observed with existing diagnostic guidelines present in the DSM-5 for the identification of Female Sexual Interest/Arousal Disorder (FSIAD) and Male Hypoactive Sexual Desire Disorder (MHSDD). The paper proposes guidelines for the diagnosis and the ethical clinical treatment …

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"Stay Strong": Internalized Stigma, Religiosity And Black Mental Health In Colorado, Breigh Jones-Coplin Jan 2022

"Stay Strong": Internalized Stigma, Religiosity And Black Mental Health In Colorado, Breigh Jones-Coplin

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

While the societal stigma on mental illness deters people from seeking mental health services, there is limited research on how Black personality and cultural practices may impact stigma and Black mental health (NAMI, 2020). In an attempt to identify protective and risk factors for internalized stigma and Black mental health, the present study examined 416 Black adults in Colorado and identified significant relationships between African Self-Consciousness, internalized stigma of mental illness, religiosity, and mental health functioning. Results showed that having a strong African-centered identity and religious grounding are associated with less internalized stigma and difficulty in functioning and mental health …

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Psilocybin And The Psychologist: A Proposed Methodology For Exploring The Effects Of Clinicians’ Psychedelic Experiences On Their Clinical Practice, Brian N. Iliescu Jan 2022

Psilocybin And The Psychologist: A Proposed Methodology For Exploring The Effects Of Clinicians’ Psychedelic Experiences On Their Clinical Practice, Brian N. Iliescu

Graduate School of Professional Psychology: Doctoral Papers and Masters Projects

This paper proposes a phenomenological exploration of the perceived influence of psychedelic experiences on clinical psychologists’ practice of psychotherapy. The goal of the proposed study is to open-endingly explore the psychedelic experiences of psychologists to identify common themes, underlying phenomena, and the impact that those experiences may have on their individual practice of psychotherapy. At present, no published studies have explored or identified how the perceived long-term effects of psychedelics influence professional mindsets and practices. This paper aims to synthesize the current literature, identify a gap, provide rationale for future queries into the non-clinical uses and effects of psychedelic medicines, …

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A Philosophy Of Contract Law For Artificial Intelligence: Shared Intentionality, John Linarelli Jan 2022

A Philosophy Of Contract Law For Artificial Intelligence: Shared Intentionality, John Linarelli

Scholarly Works

This is a chapter for the forthcoming book, Contracting and Contract Law in the Age of Artificial Intelligence, edited by Martin Ebers, Cristina Poncibò, and Mimi Zou, to be published by Hart Publishing. The aim of this chapter is to offer a general theory of contract law to account for the inclusion of artificial intelligence in contract practices. Artificial intelligence brings out that what makes contract law a distinctive form of legal obligation is shared intentionality. I refer to this insight as the shared intentionality thesis. Shared intentionality is the psychological capacity of one agent to share and pursue a …

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The Supreme Court’S Hands-Off Approach To Religious Questions In The Era Of Covid-19 And Beyond, Samuel J. Levine Jan 2022

The Supreme Court’S Hands-Off Approach To Religious Questions In The Era Of Covid-19 And Beyond, Samuel J. Levine

Scholarly Works

No abstract provided.

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Land Costs And New Housing, Michael Lewyn Jan 2022

Land Costs And New Housing, Michael Lewyn

Scholarly Works

Restrictive zoning limits housing supply, which (according to the law of supply and demand) increases housing costs. But some commentators argue that more permissive zoning would actually increase housing costs by increasing land costs. This article points out that if the latter claim was true, land costs would have risen in places that allowed lots of new housing and fallen in more restrictive regions such as San Francisco. In fact, land costs increased in both types of metro areas. More importantly, overall housing costs increased more rapidly in more restrictive metros.

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Global Climate Governance In 3d: Mainstreaming Geoengineering Within A Unified Framework, Gabriel Weil Jan 2022

Global Climate Governance In 3d: Mainstreaming Geoengineering Within A Unified Framework, Gabriel Weil

Scholarly Works

The failure of conventional climate change mitigation to reduce climate-related risks to tolerable levels has spurred interest in more unconventional—and riskier—climate interventions. What currently sounds like science fiction could become a reality in the not-so-distant future: planes blasting particles into the sky to block the sun, vast deserts covered with mirrors, algae sucking carbon into the depths of the ocean. Scholars tend to lump all these unconventional climate measures together in a fuzzy category called “geoengineering,” and set them apart from conventional climate change mitigation. But the characteristics of climate interferences vary across three distinct dimensions, which the mitigation-geoengineering dichotomy …

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Does Democracy Justify Zoning?, Michael Lewyn Jan 2022

Does Democracy Justify Zoning?, Michael Lewyn

Scholarly Works

One common argument for restrictive zoning is that zoning is more democratic than allowing landowners to build what they please. This article critiques that claim, suggesting that free markets are equally democratic because they allow for self-rule. Moreover, zoning is less democratic than other forms of government decisionmaking, because zoning hearings are often sparsely attended, and commenters at public meetings are unrepresentative of the public as a whole.

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Intentional Discrimination And Haredi Jews, Michael Lewyn Jan 2022

Intentional Discrimination And Haredi Jews, Michael Lewyn

Scholarly Works

No abstract provided.

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Why Arkansas Act 710 Was Upheld, And Will Be Again, Mark Goldfeder Jan 2022

Why Arkansas Act 710 Was Upheld, And Will Be Again, Mark Goldfeder

Scholarly Works

The recent Eighth Circuit ruling in Arkansas Times, LP v. Waldrip, a lawsuit revolving around an Arkansas state anti-discrimination bill, has been widely misreported and generally misunderstood. While the decision was actually very narrow, case-specific, and ripe for review, the misleading information presented to the public has led to speculation and fear that similar anti-discrimination legislation in dozens of other states might somehow be constitutionally deficient. This essay will clarify what actually happened in the Arkansas case, and explain why legislators and advocates around the country do not have to worry about this very limited opinion affecting the legality of …

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Crisis Pregnancy Centers: An Inherently Unjust Limitation To Reproductive Rights, Rebecca Feinberg, Danielle Pacia Jan 2022

Crisis Pregnancy Centers: An Inherently Unjust Limitation To Reproductive Rights, Rebecca Feinberg, Danielle Pacia

Scholarly Works

This paper’s purpose is two-fold. First, it presents an ethical analysis that details why the current practices of Crisis Pregnancy Centers (CPCs) are unethical and violate women’s reproductive freedom. Second, it proposes policy solutions to mitigate inequities and disinformation caused by the practices of CPCs, in an attempt to protect the women who, fall prey to their services

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Fertility Care: Essential Or Non-Essential? Lessons From The Covid-19 Pandemic, Rebecca S. Feinberg Jan 2022

Fertility Care: Essential Or Non-Essential? Lessons From The Covid-19 Pandemic, Rebecca S. Feinberg

Scholarly Works

At the beginning of the COVID-19 pandemic, in an effort to allocate medical resources towards the anticipated influx of patients infected with the novel virus, many non-essential healthcare services were temporarily paused. The American Society of Reproductive Medicine led the move to halt infertility care in all but the most extreme cases. This cessation of infertility care, compounded by the unknown duration of this recommendation, added to the already high level of stress and anxiety that fertility patients experience and in cases of advanced maternal age or diminished ovarian reserve potentially resulted in suboptimal clinical outcomes. There was vocal disagreement …

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Reverse Vesting Orders – Developing Principles And Guardrails To Inform Judicial Decisions, Janis P. Sarra Jan 2022

Reverse Vesting Orders – Developing Principles And Guardrails To Inform Judicial Decisions, Janis P. Sarra

All Faculty Publications

Reverse vesting orders (RVO) are a new tool being used by insolvency practitioners in Canada’s Companies’ Creditors Arrangement Act (CCAA) and other insolvency proceedings, where the debtor is not required to propose a restructuring plan and creditors are not permitted a vote on the going-forward strategy. The article starts from the premise that the court has authority to approve an RVO pursuant to sections 11 and 36 of the CCAA and the court’s general authority under the statute. However, it suggests that there must be exceptional circumstances for the court to be persuaded to bypass provisions of insolvency legislation aimed …

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An Overview Of Carbon Footprint Mitigation Strategies. Machine Learning For Societal Improvement, Modernization, And Progress, Vishnu S. Pendyala, Saritha Podali Jan 2022

An Overview Of Carbon Footprint Mitigation Strategies. Machine Learning For Societal Improvement, Modernization, And Progress, Vishnu S. Pendyala, Saritha Podali

Faculty Research, Scholarly, and Creative Activity

Among the most pressing issues in the world today is the impact of globalization and energy consumption on the environment. Despite the growing regulatory framework to prevent ecological degradation, sustainability continues to be a problem. Machine learning can help with the transition toward a net-zero carbon society. Substantial work has been done in this direction. Changing electrical systems, transportation, buildings, industry, and land use are all necessary to reduce greenhouse gas emissions. Considering the carbon footprint aspect of sustainability, this chapter provides a detailed overview of how machine learning can be applied to forge a path to ecological sustainability in …

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“We Are About Life-Changing Research”: Community Partner Perspectives On Community-Engaged Research Collaborations, Rebecca A. London, Ronald David Glass, Ethan Chang, Sheeva Sabati, Saugher Nojan Jan 2022

“We Are About Life-Changing Research”: Community Partner Perspectives On Community-Engaged Research Collaborations, Rebecca A. London, Ronald David Glass, Ethan Chang, Sheeva Sabati, Saugher Nojan

Faculty Research, Scholarly, and Creative Activity

This study examines the ethics and politics of knowledge across 15 distinctive community-engaged research projects. We focus our analysis on interviews with community partners and consider their perceptions of research, academic research partners, motivations for partnering, and the benefits and challenges of community-engaged research. We highlight three themes: Community partners’ (1) motivations to know better and more systematically what they already know, (2) interests in legitimating community-based knowledge (i.e., knowledge produced beyond the academy), and (3) efforts to navigate often inflexible university timelines and budgetary processes. Our findings highlight concerns at various ethical, political, and epistemic intersections and connect to …

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Abortion Attempts Without Clinical Supervision Among Transgender, Nonbinary And Gender-Expansive People In The United States, Heidi Moseson, Laura Fix, Caitlin Gerdts, Sachiko Ragosta, Jen Hastings, Ari Stoeffler, Eli A. Goldberg, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Micah E. Lubensky, Juno Obedin-Maliver Jan 2022

Abortion Attempts Without Clinical Supervision Among Transgender, Nonbinary And Gender-Expansive People In The United States, Heidi Moseson, Laura Fix, Caitlin Gerdts, Sachiko Ragosta, Jen Hastings, Ari Stoeffler, Eli A. Goldberg, Mitchell R. Lunn, Annesa Flentje, Matthew R. Capriotti, Micah E. Lubensky, Juno Obedin-Maliver

Faculty Research, Scholarly, and Creative Activity

Background Transgender, nonbinary and gender-expansive (TGE) people face barriers to abortion care and may consider abortion without clinical supervision. Methods In 2019, we recruited participants for an online survey about sexual and reproductive health. Eligible participants were TGE people assigned female or intersex at birth, 18 years and older, from across the United States, and recruited through The PRIDE Study or via online and in-person postings. Results Of 1694 TGE participants, 76 people (36% of those ever pregnant) reported considering trying to end a pregnancy on their own without clinical supervision, and a subset of these (n=40; 19% of those …

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Sieve Or Shield? High Tech Firms And Entrepreneurs And The Impacts Of Covid 19 On North American Border Regions, Kathrine Eileen Richardson, Francesco Cappellano Jan 2022

Sieve Or Shield? High Tech Firms And Entrepreneurs And The Impacts Of Covid 19 On North American Border Regions, Kathrine Eileen Richardson, Francesco Cappellano

Faculty Research, Scholarly, and Creative Activity

This study examines the role of international borders in the era of the Covid-19 pandemic, which led to unprecedented national decisions to close borders in order to contain the domestic contagion. The idea that borders act as shields conflicts with the needs of cross-border regions, as they rely on networks straddling the borders for goods and services’ provisions. This paper explores different approaches at individual, local, and regional policy levels used to counterbalance such impacts. As evidenced by North American border closures to most non-citizens seeking entry (shield effects), it is important to understand how professionals, firms, and their networks …

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Discrimination Experiences During Covid-19 Among A National, Multi-Lingual, Community-Based Sample Of Asian Americans And Pacific Islanders: Compass Findings, Van M. Ta Park, Marcelle M. Dougan, Oanh L. Meyer, Bora Nam, Marian Tzuang, Linda G. Park, Quyen Vuong, Joon Bang, Janice Y. Tsoh Jan 2022

Discrimination Experiences During Covid-19 Among A National, Multi-Lingual, Community-Based Sample Of Asian Americans And Pacific Islanders: Compass Findings, Van M. Ta Park, Marcelle M. Dougan, Oanh L. Meyer, Bora Nam, Marian Tzuang, Linda G. Park, Quyen Vuong, Joon Bang, Janice Y. Tsoh

Faculty Research, Scholarly, and Creative Activity

Reports of escalated discrimination among Asian Americans and Pacific Islanders (AAPIs) due to COVID-19 are alarming, making this a public health priority. However, there are limited empirical studies on the scope and impact of COVID-19-related discrimination among AAPIs. Using the COVID-19 Effects on the Mental and Physical Health of AAPI Survey Study (COMPASS) data (N = 4971; survey period: October 2020–February 2021), which is a U.S.-wide multi-lingual survey, we examined the prevalence of, and factors associated with discrimination experiences attributable to being an AAPI during the COVID-19 pandemic. Overall, 60.7% reported experiencing discrimination; the group prevalence ranged from 80.0% (Hmong) …

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Spanish-Speaking Caregivers’ Use Of Referential Labels With Toddlers Is A Better Predictor Of Later Vocabulary Than Their Use Of Referential Gestures, Janet Y. Bang, Manuel Bohn, Joel Ramírez, Virginia A. Marchman, Anne Fernald Jan 2022

Spanish-Speaking Caregivers’ Use Of Referential Labels With Toddlers Is A Better Predictor Of Later Vocabulary Than Their Use Of Referential Gestures, Janet Y. Bang, Manuel Bohn, Joel Ramírez, Virginia A. Marchman, Anne Fernald

Faculty Research, Scholarly, and Creative Activity

Variation in how frequently caregivers engage with their children is associated with variation in children's later language outcomes. One explanation for this link is that caregivers use both verbal behaviors, such as labels, and non-verbal behaviors, such as gestures, to help children establish reference to objects or events in the world. However, few studies have directly explored whether language outcomes are more strongly associated with referential behaviors that are expressed verbally, such as labels, or non-verbally, such as gestures, or whether both are equally predictive. Here, we observed caregivers from 42 Spanish-speaking families in the US engage with their 18-month-old …

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Word Embeddings For Fake Malware Generation, Quang Duy Tran, Fabio Di Troia Jan 2022

Word Embeddings For Fake Malware Generation, Quang Duy Tran, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Signature and anomaly-based techniques are the fundamental methods to detect malware. However, in recent years this type of threat has advanced to become more complex and sophisticated, making these techniques less effective. For this reason, researchers have resorted to state-of-the-art machine learning techniques to combat the threat of information security. Nevertheless, despite the integration of the machine learning models, there is still a shortage of data in training that prevents these models from performing at their peak. In the past, generative models have been found to be highly effective at generating image-like data that are similar to the actual data …

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Robustness Of Image-Based Malware Analysis, Katrina Tran, Fabio Di Troia, Mark Stamp Jan 2022

Robustness Of Image-Based Malware Analysis, Katrina Tran, Fabio Di Troia, Mark Stamp

Faculty Research, Scholarly, and Creative Activity

In previous work, “gist descriptor” features extracted from images have been used in malware classification problems and have shown promising results. In this research, we determine whether gist descriptors are robust with respect to malware obfuscation techniques, as compared to Convolutional Neural Networks (CNN) trained directly on malware images. Using the Python Image Library (PIL), we create images from malware executables and from malware that we obfuscate. We conduct experiments to compare classifying these images with a CNN as opposed to extracting the gist descriptor features from these images to use in classification. For the gist descriptors, we consider a …

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A Blockchain-Based Tamper-Resistant Logging Framework, Thomas H. Austin, Fabio Di Troia Jan 2022

A Blockchain-Based Tamper-Resistant Logging Framework, Thomas H. Austin, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

Since its introduction in Bitcoin, the blockchain has proven to be a versatile data structure. In its role as an immutable ledger, it has grown beyond its initial use in financial transactions to be used in recording a wide variety of other useful information. In this paper, we explore the application of the blockchain outside of its traditional decentralized, financial domain. We show how, even with only a single “mining” node, a proof-of-work blockchain can be the cornerstone of a tamper resistant logging framework. By attaching a proof-of-work to blocks of logging messages, we make it increasingly difficult for an …

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Fake Malware Generation Using Hmm And Gan, Harshit Trehan, Fabio Di Troia Jan 2022

Fake Malware Generation Using Hmm And Gan, Harshit Trehan, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

In the past decade, the number of malware attacks have grown considerably and, more importantly, evolved. Many researchers have successfully integrated state-of-the-art machine learning techniques to combat this ever present and rising threat to information security. However, the lack of enough data to appropriately train these machine learning models is one big challenge that is still present. Generative modelling has proven to be very efficient at generating image-like synthesized data that can match the actual data distribution. In this paper, we aim to generate malware samples as opcode sequences and attempt to differentiate them from the real ones with the …

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Leveraging Hispanic-Serving Institutions Within Physics Education Research, Brianne Gutmann, Rebecca Rosenblatt Jan 2022

Leveraging Hispanic-Serving Institutions Within Physics Education Research, Brianne Gutmann, Rebecca Rosenblatt

Faculty Research, Scholarly, and Creative Activity

Hispanic serving institutions (HSIs) are an increasingly large set of higher education institutions in the United States. From 2010-2020 the number of HSIs increased from 311 to 569. Within the physics education research (PER) community, research perspectives from HSIs have provided critical insights into how to support racially and ethnically diverse students. Within the last decade, research from HSIs made up approximately 20% of publications from US higher education institutions in common PER journals. These publications do not always fully name and leverage their HSI context, though the work done at HSIs still more consistently centers students’ identities as compared …

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On Fatigue Detection For Air Traffic Controllers Based On Fuzzy Fusion Of Multiple Features, Yi Hu, Zhuo Liu, Aiqin Hou, Chase Wu, Wenbin Wei, Yanjun Wang, Min Liu Jan 2022

On Fatigue Detection For Air Traffic Controllers Based On Fuzzy Fusion Of Multiple Features, Yi Hu, Zhuo Liu, Aiqin Hou, Chase Wu, Wenbin Wei, Yanjun Wang, Min Liu

Faculty Research, Scholarly, and Creative Activity

Fatigue detection for air traffic controllers is an important yet challenging problem in aviation safety research. Most of the existing methods for this problem are based on facial features. In this paper, we propose an ensemble learning model that combines both facial features and voice features and design a fatigue detection method through multifeature fusion, referred to as Facial and Voice Stacking (FV-Stacking). Specifically, for facial features, we first use OpenCV and Dlib libraries to extract mouth and eye areas and then employ a combination of M-Convolutional Neural Network (M-CNN) and E-Convolutional Neural Network (E-CNN) to determine the state of …

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Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao Jan 2022

Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position and type of the mask should also be considered in order to increase the effectiveness of face masks, especially at specific public locations. However, this makes it difficult for conventional facial recognition technology to identify individuals for security checks. To solve this problem, the Spartan Face Detection …

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Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones Jan 2022

Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones

Faculty Research, Scholarly, and Creative Activity

It is important to comprehend the attacker's behavior and capacity in order to build a stronger fortress and thus be able to protect valuable assets more effectively. Prior to launching technical and physical attacks, an attacker may enter the reconnaissance stage and gather sensitive information. To collect such valuable data, one of the most effective approaches is through conducting social engineering attacks, borrowing techniques from deception theory. As a result, it is of utmost importance to understand when an attacker behaves truthfully and when the attacker opts to be deceitful. This paper models attacker's states using the Markov Decision Process …

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Predicting Cervical Cancer Biopsy Results Using Demographic And Epidemiological Parameters: A Custom Stacked Ensemble Machine Learning Approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, Saptarshi Sengupta Jan 2022

Predicting Cervical Cancer Biopsy Results Using Demographic And Epidemiological Parameters: A Custom Stacked Ensemble Machine Learning Approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, Saptarshi Sengupta

Faculty Research, Scholarly, and Creative Activity

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide. This gynecological carcinoma causes many deaths, even though it can be treated by removing malignant tissues at a preliminary stage. In many developing countries, patients do not undertake medical examinations due to the lack of awareness, hospital resources and high testing costs. Hence, it is vital to design a computer aided diagnostic method which can screen cervical cancer patients. In this research, we predict the probability risk of contracting this deadly disease using a custom stacked ensemble machine learning approach. The technique combines the results of several machine …

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