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Screen Recording-Based Web Archiving of SVOD Platforms [Video]
No full textRecording of a presentation sharing the ongoing development of a generic toolchain based on screen recording designed to effectively address DRM restrictions, capture high-quality content, and scale efficiently. This recording originated from the IIPC General Assembly and Web Archiving Conference held on April 8-10, 2025 in Oslo, Norway
Resolutions for Triangular Ore Extensions
Full text linkResolutions provide important tools for studying the homology and deformation theory of non-commutative algebras, so one desires convenient, finite resolutions to work with. We construct resolutions for noncommutative PBW algebras that arise iteratively from setting quantum or skew commutators to lower order terms, like Weyl algebras, shift algebras, skew polynomial rings, many universal enveloping algebras and others. To do so, we extend a quantum symmetrization map to a chain map between resolutions, allowing us to take advantage of the twisted product resolution for twisted tensor product algebras
Implied Cost of Capital as an Improved Measure of Equity Premium: A Deep Learning Approach
No full textCorrectly estimating expected equity returns is critical for resolving the equity premium puzzle and understanding the true cost of equity. Traditional methods that rely on historical market returns over extended periods can produce misleading estimates. Although Fama and French’s (2002) dividend and earnings growth model mitigates reliance on past returns, it introduces its own sources of bias. Our out-of-sample evaluation for 2001 to 2024 demonstrates that this fundamental approach yields higher standard errors and lower precision compared to realized returns. The implied cost of capital (ICC), theoretically a more accurate proxy for investors’ expected returns, is often inflated due to upward-biased analyst earnings forecasts. As a result, prior literature has tended to overstate both the ICC and the equity premium. In this paper, I propose a novel machine learning framework to forecast future earnings, which I then use to calculate the implied cost of equity. The proposed method reduces the forecasting biases inherent in traditional approaches and provides a more precise, consistent, and robust estimate of the equity premium. This better measure of equity premium is lower than previous researchers have concluded and helps partially solve the equity premium puzzle
Examining the Role of Emotion Dysregulation in the Association between Interpersonal Trauma and Impulsivity
Full text linkThe current study assessed the moderating effects of emotion dysregulation (ED) on associations between physical/sexual assault experiences and five components of impulsivity (negative urgency, positive urgency, lack of premeditation, lack of perseverance, sensation seeking). I hypothesized an amplifying effect; stronger positive associations would be found between the presence (vs. absence) of physical/sexual assault and the five impulsivity factors at higher (vs. lower) levels of ED. A sample of 176 participants in a community mental health center completed the Stressful Life Events Screening Questionnaire, the Difficulties in Emotion Regulation Scale – 16 item version, and the UPPS-P Impulse Behavior Scale. Five simple moderation models using the PROCESS macro software were conducted to examine the hypothesized interaction effects. Results showed ED moderated the relationship between interpersonal trauma (IPT) endorsement and negative urgency (b = 0.17, p = .003); participants with IPT experiences (vs. no IPT experiences) reported higher negative urgency at lower (vs. higher) levels of ED (b = -4.90, p < .001). Results provide a greater understanding of the role impulsivity plays in IPT survivors’ reactions to negative emotions, despite their ability to regulate negative affect; these reactions may relate more with survivors’ motor readiness to avoid possible threat and less with their levels of emotion (dys)regulation. Findings contribute to research focused on identifying underlying factors that relate to survivors’ poor psychosocial functioning following IPT experiences, as well as provide possible avenues for intervention
Associations of Intimate Partner Violence Profiles with Posttraumatic Stress Disorder Symptoms and Cortisol: A Latent Profile Analysis
No full textThe current study aimed to identify latent profiles based on past-month intimate partner violence (IPV) frequencies (physical assault, injury, sexual, emotional-verbal psychological, and dominance-isolation psychological IPV) and evaluate profile differences in terms of distal outcomes (posttraumatic stress disorder [PTSD] symptom severity and levels of hair cortisol concentration). The sample included 137 women (Mage = 39.82 years; 43.7% White) reporting IPV and recent substance use. Latent profile analyses indicated four distinct profiles: (1) high multiple IPV victimization with predominant sexual IPV, (2) low multiple IPV victimization, (3) moderate multiple IPV with high dominance victimization, and (4) moderate multiple IPV with high physical victimization. Results revealed that participants in the high multiple IPV victimization with predominant sexual IPV profile reported significantly higher PTSD symptom severity than participants in the moderate multiple IPV with high dominance victimization profile (χ2 = 5.05, p = .023). Further, participants in the moderate multiple IPV with high physical victimization profile reported significantly higher PTSD symptom severity compared to participants in the moderate multiple IPV with high dominance victimization profile (χ2 = 6.33, p = .012). No differences in levels of hair cortisol concentration were found between profiles (χ2 = 1.54, p = .673). In sum, the current study provides insights into the heterogeneity of IPV experiences, which has implications for tailoring interventions to meet the unique needs of the emergent subgroups
Contracting-Out Decisions in Local Health Services: A Quantitative Analysis of Institutional Isomorphism
Full text linkLocal governments do not make service delivery decisions in isolation or based purely on economic considerations. Instead, they operate within a complex institutional environment shaped by the behaviors of neighboring organizations, political pressures, and professional norms. Missing from the current literature on public health governance is a comprehensive understanding of how these institutional pressures influence local governments’ decisions to contract out public health services. The purpose of this dissertation is to fill this gap by examining how mimetic, coercive, and normative isomorphic pressures shape contracting-out behavior in local health departments (LHDs). First, this dissertation investigates whether mimetic, coercive, and normative pressures influence LHDs’ decisions to contract out public health services. Second, it examines whether the effects of these institutional pressures vary across service types with different levels of asset specificity and service measurability. Using logistic regression analysis on nationally representative data of LHDs from the 2016 and 2019 National Profile of LHDs, this dissertation finds that coercive pressures significantly increase the likelihood of contracting out, while normative pressures, such as accreditation, are associated with lower contracting rates. Mimetic pressures do not show statistically significant effects. Service-level analysis further reveals that institutional influences vary depending on asset specificity and service measurability. By applying neo-institutional theory to a critical yet understudied domain of public service delivery, this dissertation offers new theoretical and empirical insights into how institutional environments shape local policy decisions in decentralized public health governance
Academic Buoyancy: A Mixed-methods Study of University Students' Everyday Resilience
No full textAcademic buoyancy refers to a student's capacity to deal with typical educational adversities adaptively. Buoyancy positively relates to beliefs, emotions, and behaviors supporting learning and achievement. Considering university students' unique challenges and the importance of social context, there is a need to examine how student-level and contextual considerations relate to academic buoyancy in higher education. Guided by the Situated Expectancy-Value Theory person-in-context framework, this study's objectives were to investigate (a) the relationship between stable student characteristics, self-reported fears, academic identity, and perceived social support on academic buoyancy, along with (b) how students with varying levels of academic buoyancy respond typical educational adversities. This mixed-methods study comprised two phases: an online questionnaire completed by 430 students in Phase 1 and follow-up virtual focus groups with 18 students representing varying buoyancy scores in Phase 2. Findings revealed fears are negatively related to buoyancy. Social support and academic identity do not contribute additional explained variance in buoyancy. Additionally, students' agency is essential in framing students' academic experiences, extending their social relationships, and accessing available university resources. Overall, results indicated while students acknowledge the importance of seeking help, fear of compassion can deter them from doing so, and high fear of compassion correlates with lower perceptions of available social support. Implications include reducing students' fears, fostering students' agency, and including contextual considerations in buoyancy research
Specificity of Emotion Regulation across PTSD Symptom Clusters
Full text linkPosttraumatic Stress Disorder (PTSD) is a multifaceted disorder that impacts approximately 8% of people during their lifetime and serves as a risk factor for other psychopathologies. Emotion regulation difficulties are central to the disorder, so understanding patterns of regulation may be key to successful treatment. Evidence suggests PTSD is characterized by increased maladaptive emotion regulation strategy use and decreased adaptive strategy use. However, less is known about differences in regulatory strategies across symptom clusters. Further, the literature in this area is limited by measures that are confounded by symptom overlap and rely on traditional classification systems, like the Diagnostic and Statistical Manual, Fifth Edition, Text Revision (DSM-5-TR), to measure PTSD symptoms. The current study analyzed the specificity of common emotion regulation strategies to the different PTSD symptom clusters using structural equation modeling. A novel dimensional measure that assessed seven facets of PTSD symptoms and psychometrically robust emotion regulation measures were used. Results suggest that maladaptive emotion regulation strategies, particularly self-blame, rumination, and experiential avoidance, tend to be associated with all symptom clusters. Most adaptive strategies were not associated with any symptom cluster. Reappraisal was the only adaptive strategy that exhibited negative associations with all symptom clusters. Results suggest that associations between regulatory strategies and PTSD symptom clusters are largely consistent across different clusters. Interventions targeting maladaptive emotion regulation strategies may be useful across heterogenous symptom presentations
Validating an Instrument: Understanding Attitudes Towards Data to Increase Data Literacy
Full text linkThis dissertation aimed to validate an instrument for understanding attitudes towards data to increase data literacy in the workplace. This study addressed a research gap and investigated the following research question: What underlying latent factors contribute to daily attitudes towards data for employees who work with data? Utilizing a quantitative research design, data was collected via an online survey. Principal components analysis (PCA) was used to determine factors, and analysis of variance (ANOVA) explored demographic influences. The study validated a revised instrument with four factors: Interest, Cognitive Competence, Personal Value, and Professional Value. A key finding was that job function significantly influences employees' attitudes towards data. This research contributes a reliable instrument for measuring attitudes towards data among professionals, offering practical implications for enhancing data literacy in organizations
[Trans] Texan
Full text linkIn the 2025 Texas legislative session there are 169 proposed bills that could negatively impact the LGBTQ+ community, 100 of which specifically target transgender individuals living in the state. Following the election of Donald Trump into his second term as US president and the re-election of Ted Cruz into his third term in the Texas Senate-- both of whom campaigned on the promise of enacting anti-trans policies-- anxieties began rising in the transgender community in Texas. With the hopes of putting faces to the sensationalized topic of trans identities, “[Trans] Texan” follows the day-to-day lives of two transgender individuals living in Texas-- James and Evie-- who will be directly impacted by these proposed policies and the social and political environment. By showing an intimate portrait of these individuals going about their daily lives, this project takes the often-conceptual discussions and grounds it in the real human experiences of these participants