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2023

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Privacy Peg, Trade Hole: Why We (Still) Shouldn’T Put Data Privacy In Trade Law, Margot E. Kaminski, Kristina Irion, Svetlana Yakovleva Jan 2023

Privacy Peg, Trade Hole: Why We (Still) Shouldn’T Put Data Privacy In Trade Law, Margot E. Kaminski, Kristina Irion, Svetlana Yakovleva

Publications

No abstract provided.


Accent Services: Considering The Perspectives Of Non-Native Speakers Of English For A Culturally Affirming Practice, Kristopher Kilgallon Jan 2023

Accent Services: Considering The Perspectives Of Non-Native Speakers Of English For A Culturally Affirming Practice, Kristopher Kilgallon

Master's Theses and Doctoral Dissertations

Accent “modification” is a type of service offered by speech-language pathologists (SLPs) that is intended to, among other things, help speakers improve their intelligibility in a target second language. This area of practice has been, and continues to be, a controversial topic amongst scholars and practitioners. To explore and understand the perspectives of non-native speakers of English regarding their participation in accent services, the present study employed a qualitative research design using individual, semi-structured interviews. Ten adult non-native speakers of English (female: n = 7; male: n = 3), with ages between 28 and 47 years old (M = …


Ant 2200g, Clas Jan 2023

Ant 2200g, Clas

Executive Actions

No abstract provided.


Factors Influencing Educational Equity In Online Instruction For Students During Covid-19, Sudha Krishnan Jan 2023

Factors Influencing Educational Equity In Online Instruction For Students During Covid-19, Sudha Krishnan

Faculty Research, Scholarly, and Creative Activity

This qualitative study examined special education teachers’ perceptions of student success in online instruction during the pandemic school closures to isolate the key determinants in the differential student outcomes reported by the teachers. Data were collected from 16 teachers using semi-structured interviews and analyzed using thematic coding. The six themes that emerged from the data were that the key determinants of student outcomes were variables related to teacher, school administrator, district, student, parent, and pedagogy. The study showed that underlying deficit thinking in school professionals, lack of planned support for those parents and students needing the most support, and limited …


Community College Faculty Perceptions Of Open Educational Resources, Heather Ann Leavitt Jan 2023

Community College Faculty Perceptions Of Open Educational Resources, Heather Ann Leavitt

Theses and Dissertations

This study examined Open Educational Resources (OER) through a community college faculty perspective. Specifically, this study aimed to gain a deeper understanding of faculty motivations surrounding OER, faculty perceptions of OER’s influences on students, and pedagogical changes that faculty have made in response to OER. A qualitative research methodology was chosen, including semi-structured phenomenological interviews conducted with community college faculty members. The methodology was guided by activity theory. Faculty discussed their use of the 5 Rs (retain, reuse, revise, remix, redistribute) in practice, with revise being the most commonly used of the 5 Rs. Notably, the eight participants had mixed …


Parental Involvement For Spanish-Speaking English Learners: Teachers’ Perspectives, Olawumi Oluranti Salako Jan 2023

Parental Involvement For Spanish-Speaking English Learners: Teachers’ Perspectives, Olawumi Oluranti Salako

Theses and Dissertations

The benefit of parental involvement (PI) cannot be underestimated, most specifically, the PI that operates on mutual trust and respect, and balancing of power between homes and schools. It is particularly beneficial to students who are learning English as a second language because their parents can partner with educators to close the achievement gap. However, literature has revealed that most schools have operated using the unidirectional approach in which parents and family members are being alienated from their children’s education due to several factors like an imbalance of power between home and school (Cooper, 2009; Ishimaru et al., 2016). Hence, …


Conceptualizing Socio-Emotional Disablism: A Duoethnography Of Crohn’S Disease And Ocd During Covid-19, Kristen L. Cole, Brandi Lawless Jan 2023

Conceptualizing Socio-Emotional Disablism: A Duoethnography Of Crohn’S Disease And Ocd During Covid-19, Kristen L. Cole, Brandi Lawless

Faculty Research, Scholarly, and Creative Activity

We utilize duoethnography to help readers better understand the constitutive nature of disability in the contexts of chronic illness and mental health. By doing so, we articulate the concept of socio-emotional disablism, which expands structural and psycho-emotional theories of disablism to account for the ways socio-material interactions trigger emotion-work—the communicative labor and fatigue that accompanies negotiating our own emotions as well as the emotions of others in disabling contexts—thus limiting relational and ideological engagement with disability. We conclude by discussing what the concept of socio-emotional disablism teaches us about how to build more inclusive social futures through deeper interpersonal engagement …


Network Anatomy In Logopenic Variant Of Primary Progressive Aphasia, Maria Luisa Mandelli, Diego L. Lorca-Puls, Sladjana Lukic, Maxime Montembeault, Andrea Gajardo-Vidal, Abigail Licata, Aaron Scheffler, Giovanni Battistella, Stephanie M. Grasso, Rian Bogley, Buddhika M. Ratnasiri, Renaud La Joie, Nidhi S. Mundada, Eduardo Europa, Gil Rabinovici, Bruce L. Miller, Jessica De Leon, Maya L. Henry, Zachary Miller, Maria Luisa Gorno-Tempini Jan 2023

Network Anatomy In Logopenic Variant Of Primary Progressive Aphasia, Maria Luisa Mandelli, Diego L. Lorca-Puls, Sladjana Lukic, Maxime Montembeault, Andrea Gajardo-Vidal, Abigail Licata, Aaron Scheffler, Giovanni Battistella, Stephanie M. Grasso, Rian Bogley, Buddhika M. Ratnasiri, Renaud La Joie, Nidhi S. Mundada, Eduardo Europa, Gil Rabinovici, Bruce L. Miller, Jessica De Leon, Maya L. Henry, Zachary Miller, Maria Luisa Gorno-Tempini

Faculty Research, Scholarly, and Creative Activity

The logopenic variant of primary progressive aphasia (lvPPA) is a neurodegenerative syndrome characterized linguistically by gradual loss of repetition and naming skills resulting from left posterior temporal and inferior parietal atrophy. Here, we sought to identify which specific cortical loci are initially targeted by the disease (epicenters) and investigate whether atrophy spreads through predetermined networks. First, we used cross-sectional structural MRI data from individuals with lvPPA to define putative disease epicenters using a surface-based approach paired with an anatomically fine-grained parcellation of the cortical surface (i.e., HCP-MMP1.0 atlas). Second, we combined cross-sectional functional MRI data from healthy controls and longitudinal …


Shifting Mediates Gendered Racial Microaggressions And Perceived Racism Among Asian American Women, Glenn Gamst, Christine Ma-Kellams, Lawrence S. Meyers, Leticia Arellano-Morales Jan 2023

Shifting Mediates Gendered Racial Microaggressions And Perceived Racism Among Asian American Women, Glenn Gamst, Christine Ma-Kellams, Lawrence S. Meyers, Leticia Arellano-Morales

Faculty Research, Scholarly, and Creative Activity

Introduction: Microaggressive attacks on Asian American women increased during the COVID-19 pandemic. The present study tested whether Asian American women's shifting, a coping strategy employed by some women of color to alter their self-presentation in response to perceived racism, mediated the association between gendered racial microaggressions and self-perceived subtle and blatant racism. Methods: A convenience sample of 253 Asian American adult women completed the gendered racial microaggressions scale for Asian American women (GRMSAAW), the Asian American women's shifting scale (AsAWSS), and the subtle and blatant racism scale for Asian American college students (SABR-A2). Results: Results from a structural equation model …


Identifying Design-Build Decision-Making Factors And Providing Future Research Guidelines: Social Network And Association Rule Analysis, Ramy Khalef, Islam H. El-Adaway Jan 2023

Identifying Design-Build Decision-Making Factors And Providing Future Research Guidelines: Social Network And Association Rule Analysis, Ramy Khalef, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

There is a dire need to rebuild existing infrastructure with strategic and efficient methods. Design-build (DB) becomes a potential solution that provides fast-tracked delivery as a more time and cost-efficient project delivery method. Past research studied factors influencing DB but without providing a holistic analytic approach. This paper fills this knowledge gap. First, a systematic literature review is performed using the preferred reporting items for systematic reviews and meta-analyses techniques, and a set of factors affecting DB projects are then identified and clustered, using k-means clustering, based on the whole literature discussions. Second, a graph theory approach, social network analysis …


A Test Of Subjective Versus Objective Language Proficiency: An Investigation Of Age Of Acquisition And Exposure In Multilinguals, Anastina B. Steiber Jan 2023

A Test Of Subjective Versus Objective Language Proficiency: An Investigation Of Age Of Acquisition And Exposure In Multilinguals, Anastina B. Steiber

Cal Poly Humboldt theses and projects

This research used the BEST dataset gathered in 2017 by de Bruin and colleagues, which contains information gathered from 650 multilingual participants (435 female, Mage = 25.02) from the Basque Country at the Basque Center on Cognition, Brain and Language (BCBL). Multilingual individuals may have different levels of proficiency in each language they speak, and there are various factors that can influence proficiency. Such factors include the age at which they begin learning a language and how much exposure they have to the language. Proficiency can be assessed both subjectively (personal perception of proficiency) and objectively (observed and/or measured …


Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit Sheth Jan 2023

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) provide counseling and suggestive care. They refrain from patient diagnostic assistance because of a lack of training on safety-constrained and specialized clinical process knowledge (Pro-Know). In this work, we define ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain. We also introduce a new dataset of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use (ProKnow-data). We develop a method for natural language question generation (NLG) that collects diagnostic information from the patient interactively (ProKnow-algo). We demonstrate the …


Cook-Gen: Robust Generative Modeling Of Cooking Actions From Recipes, Revathy Venkataramanan, Kaushik Roy, Kanak Ray, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit Sheth Jan 2023

Cook-Gen: Robust Generative Modeling Of Cooking Actions From Recipes, Revathy Venkataramanan, Kaushik Roy, Kanak Ray, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit Sheth

Publications

As people become more aware of their food choices, food computation models have become increasingly popular in assisting people in maintaining healthy eating habits. For example, food recommendation systems analyze recipe instructions to assess nutritional contents and provide recipe recommendations. The recent and remarkable successes of generative AI methods, such as auto-regressive large language models, can lead to robust methods for a more comprehensive understanding of recipes for healthy food recommendations beyond surface-level nutrition content assessments. In this study, we explore the use of generative AI methods to extend current food computation models, primarily involving the analysis of nutrition and …


Acm Web Conference 2023, Usha Lokala, Kaushik Roy, Utkarshani Jaimini, Amit Sheth Jan 2023

Acm Web Conference 2023, Usha Lokala, Kaushik Roy, Utkarshani Jaimini, Amit Sheth

Publications

Improving the performance and explanations of ML algorithms is a priority for adoption by humans in the real world. In critical domains such as healthcare, such technology has significant potential to reduce the burden on humans and considerably reduce manual assessments by providing quality assistance at scale. In today’s data-driven world, artificial intelligence (AI) systems are still experiencing issues with bias, explainability, and human-like reasoning and interpretability. Causal AI is the technique that can reason and make human-like choices making it possible to go beyond narrow Machine learning-based techniques and can be integrated into human decision-making. It also offers intrinsic …


Tutorial - Shodhguru Labs: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy Jan 2023

Tutorial - Shodhguru Labs: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …


Tutorial - Shodhguru Labs: Optimization And Hyperparameter Tuning For Neural Networks, Kaushik Roy Jan 2023

Tutorial - Shodhguru Labs: Optimization And Hyperparameter Tuning For Neural Networks, Kaushik Roy

Publications

Neural networks have emerged as a powerful and versatile class of machine learning models, revolutionizing various fields with their ability to learn complex patterns and make accurate predictions. The performance of neural networks depends significantly on the appropriate choice of hyperparameters, which are critical factors governing their architecture, regularization, and optimization techniques. As the demand for high-performance neural networks grows across diverse applications, the need for efficient optimization and hyperparameter tuning methods becomes paramount. This paper presents a comprehensive exploration of optimization strategies and hyperparameter tuning techniques for neural networks. Neural networks have emerged as a powerful and versatile class …


The Shortfalls Of Vulnerability Indexes For Public Health Decision-Making In The Face Of Emergent Crises: The Case Of Covid-19 Vaccine Uptake In Virginia, Lydia Cleveland Sa, Erika Frydenlund Jan 2023

The Shortfalls Of Vulnerability Indexes For Public Health Decision-Making In The Face Of Emergent Crises: The Case Of Covid-19 Vaccine Uptake In Virginia, Lydia Cleveland Sa, Erika Frydenlund

VMASC Publications

Equitable and effective vaccine uptake is a key issue in addressing COVID-19. To achieve this, we must comprehensively characterize the context-specific socio-behavioral and structural determinants of vaccine uptake. However, to quickly focus public health interventions, state agencies and planners often rely on already existing indexes of "vulnerability." Many such "vulnerability indexes" exist and become benchmarks for targeting interventions in wide ranging scenarios, but they vary considerably in the factors and themes that they cover. Some are even uncritical of the use of the word "vulnerable," which should take on different meanings in different contexts. The objective of this study is …


A Structured Narrative Prompt For Prompting Narratives From Large Language Models: Sentiment Assessment Of Chatgpt-Generated Narratives And Real Tweets, Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O'Brien, Erika Frydenlund, Ross Gore Jan 2023

A Structured Narrative Prompt For Prompting Narratives From Large Language Models: Sentiment Assessment Of Chatgpt-Generated Narratives And Real Tweets, Christopher J. Lynch, Erik J. Jensen, Virginia Zamponi, Kevin O'Brien, Erika Frydenlund, Ross Gore

VMASC Publications

Large language models (LLMs) excel in providing natural language responses that sound authoritative, reflect knowledge of the context area, and can present from a range of varied perspectives. Agent-based models and simulations consist of simulated agents that interact within a simulated environment to explore societal, social, and ethical, among other, problems. Simulated agents generate large volumes of data and discerning useful and relevant content is an onerous task. LLMs can help in communicating agents' perspectives on key life events by providing natural language narratives. However, these narratives should be factual, transparent, and reproducible. Therefore, we present a structured narrative prompt …


Reshaping The Narrative, Crystal Little Owl Jan 2023

Reshaping The Narrative, Crystal Little Owl

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.


Thematic Content Analysis Exploring American Indian Suicidality, Todd E. Phelps Jan 2023

Thematic Content Analysis Exploring American Indian Suicidality, Todd E. Phelps

Theses and Dissertations

This research project aimed to explore the trajectory of suicide within one tribal nation, the Sioux. The researcher attempted to identify risk factor significance, create new factors current research may be lacking, and gain saturated context for suicide from Siouan-affiliated individuals. Suicidality was explored in two phases. Phase one required individual participants to classify and rank potential life stressors (PLS). Phase two included another round of classification in addition to thematic content analysis within an expert panelist setting. Phases were completed by three different panel groups. Panel one included individuals who have attempted suicide, panel two included a group of …


Covering (Il)Legible Bodies: A Cda Of News Discourse About Undocuqueer Life In The U.S., Ayleen Cabas-Mijares Jan 2023

Covering (Il)Legible Bodies: A Cda Of News Discourse About Undocuqueer Life In The U.S., Ayleen Cabas-Mijares

College of Communication Faculty Research and Publications

News narratives about immigration shape not only constructions of immigrants but of nation states. Through a critical content analysis informed by intersectionality and queer of color critique, this study explores how the news coverage of undocumented LGBTQ immigrants and the Undocuqueer Movement render distorted and incomplete constructions of these immigrants, their struggles and activism. Furthermore, the analysis shows how selective (mis)representations and erasures in the coverage contribute to the constitution of a homonationalist reimagination of the United States. Additionally, the paper makes the case for the incorporation of transnational sensibilities to enhance intersectional approaches to reporting.


The Revolution Will Be Memed: Digital Memes As Sites For Hegemonic And Counter-Hegemonic Practices, Kimberly Sisu Jan 2023

The Revolution Will Be Memed: Digital Memes As Sites For Hegemonic And Counter-Hegemonic Practices, Kimberly Sisu

Cal Poly Humboldt theses and projects

Internet memes have become a part of everyday life as a way to participate in digital and online culture. The study of memes, known as memetics, have analyzed memes in many ways: for their political and social participation, for their multimodal presence, and their influence on online discourse. What has not yet been deeply studied are the ways memes participate in hegemonic and counter-hegemonic practices. This project aims to address this gap by investigating how hegemonic and counter-hegemonic practices show up in memes on feminism, and how those practices uphold or disrupt dominant narratives. Fifteen memes on feminism are analyzed …