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The Development and Exploratory Factor Analysis of Cultural Wealth as a Protective Factor Against Racism in the Workplace: The Cultural Wealth at Work Inventory
No full textThe present study focuses on the development of the Cultural Wealth at Work Inventory (CWWI), a strengths-based, psychometrically-informed instrument designed to measure six dimensions of community cultural wealth (CCW) among United States workers who identify with groups disproportionately affected by racial and ethnic marginalization. Drawing upon Yosso’s (2005) Community Cultural Wealth framework and guided by Quantitative Criticalism (QuantCrit), this dissertation addresses the limitations inherent in traditional cultural capital theory and prior CCW measurement tools, which frequently rely on deficit-based assumptions and Eurocentric norms. The CWWI was developed through a thorough, multi-step process that included theoretical grounding, item generation, expert review, pilot testing, and survey administration to a sample of 243 employed adults aged 18–64 in the US from groups disproportionately impacted by racial and ethnic marginalization. Exploratory factor analysis (EFA) identified six distinct, meaningful factors relating to aspirational, familial, social, linguistic, navigational, and resistant capital. These dimensions illustrate how workers utilize various cultural assets to navigate and oppose structural racism in work environments. The CWWI showed high internal consistency reliability across all subscales. By emphasizing the cultural resources and resilience of workers disproportionately impacted by systemic oppression, the CWWI provides a culturally responsive instrument to analyze protective factors within vocational contexts. This metric addresses a significant gap in the existing literature by extending CCW theory beyond the educational environment into the professional sphere, thereby offering new avenues for understanding how individuals from groups disproportionately impacted by racial and ethnic marginalization resist racialized stressors, sustain authenticity, and strive for career success. The results bear implications for future research, workplace equity initiatives, and vocational interventions that respect the lived experiences and strengths of Communities of Color
Oral History Interview, Jose Antonio (Tony) Trujillo (2542)
No full textIn his 2025 interview with Dadit Gunarwanto Hidayat, WiscAMP STEM Inspire alum Jose Antonio (Tony) Trujillo describes how the program supported him through the electrical engineering program at UW-Milwaukee and inspired him to seek his graduate degree at UW-Madison. To learn more about this oral history, download & review the index first (or transcript if available). It will help determine which audio file(s) to download & listen to.In his 2025 interview with Dadit Gunarwanto Hidayat, WiscAMP STEM Inspire alum Jose Antonio (Tony) Trujillo describes how the program supported him through the electrical engineering program at UW-Milwaukee and inspired him to seek his graduate degree at UW-Madison. Trujillo was born in Guadalajara, Mexico, and moved to the Milwaukee area when he was twelve. He had wanted to be an engineer for most of his life, as many of his family members were engineers. WiscAMP STEM Inspire provided him mentorship, guidance, and opportunities, which helped him achieve his goals and create a community even after transferring to UW-Milwaukee during the pandemic. Trujillo also discusses his work with the Society of Hispanic Professional Engineers (SHPE), which he and his friends reactivated at UW-Milwaukee. He found the WiscAMP program uniquely fulfilling, and he enjoyed serving as a peer mentor and tutor for other WiscAMP students. He aspires to continue giving back to the community. This interview was conducted for inclusion into the WiscAMP Legacy Oral History Project and the UW-Madison Archives and Records Management oral history collection
A Novel Device for High-Throughput Phenotypic Screening of Schistosoma Mansoni Miracidia
No full textColor poster with text, images, charts, photographs, and graphs.Schistosomiasis, a neglected tropical disease caused by three parasitic flatworm species, including Schistosoma mansoni, relies on freshwater snails as intermediate hosts. Interrupting the parasite’s ability to locate snails could provide a novel strategy for disease control. Praziquantel is the current treatment of choice for human infections, and it exerts its effect by targeting transient receptor potential (TRP) channels on the parasite, leading to death of the worm. Despite its effectiveness in eliminating adult parasites, treated individuals remain susceptible to reinfection. In this study, a drug screening approach was used to identify compounds targeting the transient TRP receptors in miracidia, a larval stage of the parasite. A custom 96-well acrylic device was designed; worms were added to each well and treated with 10 µM of drug. The impact of each compound on miracidia behavior was assessed to identify potential drug candidates. To accurately monitor their responses, a high-resolution recording device was utilized. This system enabled precise observation of miracidia motility and orientation, allowing identification of compounds that disrupt general movement or host-seeking behavior. Preliminary findings suggest that TRP channel modulators play a role in altering miracidia navigation, offering a promising avenue for disrupting the parasite’s life cycle.NIH NIAID R15 AI83095 to NJW; Blugold Center for High-Performance Computing under NSF grant CNS-
1920220; University of Wisconsin--Eau Claire Office of Research and Sponsored Program
Shining a light on the dark figure of crime: Best practices and recommendations for sexual assault investigations for law enforcement agencies
No full textThe prevalence of sexual assault remains a significant concern within society, marked by a troubling underreporting trend that hampers effective prosecution and victim support. This seminar paper examines best practices and recommendations for law enforcement agencies to improve investigative techniques for sexual assault cases. It emphasizes the importance of victim-centered approaches that foster trust and cooperation from survivors and enhance reporting rates. The research highlights the need for comprehensive training for law enforcement officers, addressing the complexities surrounding victim advocacy, societal stigma, and systemic barriers to reporting. By analyzing current investigative strategies utilized by various police departments and considering the implications of victim blaming, this study aims to offer actionable recommendations that can lead to a more effective response to sexual assault, ultimately contributing to increased accountability for perpetrators and better outcomes for survivors. Through this exploration, the paper advocates for a paradigm shift in how sexual assault investigations are conducted, asserting that thoughtful, trauma-informed practices are essential for fostering a safer and more just environment for all individuals
An interdisciplinary look at generative AI impacts on workplace communication, learning, and planned organizational change models
No full textThis seminar paper investigates Generative Artificial Intelligence (GenAI) impacts on workplace communication and learning inside the field of Organizational Change Management (OCM). Getting the best out of GenAI requires a balance between human critical thinking and expertise and machine intelligence. An augmentation of human activity with humans collaborating with GenAI technology to improve ways of working. The act of re-engineering workplace processes with AI makes the current Intelligence AI Revolution an industry-wide organizational change transformation initiative, wherein the solutions to the process changes are GenAI tools. This paper examines the effects of GenAI tools on two specific OCM process elements: workplace communication and cognitive learning for skill assimilation and performance. It also investigates GenAI impacts on three specific organizational planned change models: Prosci’s ADKAR, McKinsey’s 7S, Kotter’s 8-Step. This paper examines the potential misuse and over-reliance on AI’s mile-wide, inch-deep instant results, which can undermine human thinking, creativity, innovation, and social interaction. There is a glimpse into the neuroscience behind cognitive learning aspects that AI and GenAI tools influence. While GenAI tools offer incredible efficiency, we must be wary of creating long-term 'skill atrophy.' Over-reliance on automated solutions, like instant recipes, could diminish our ability to adapt to ingredients and resources on hand and problem-solve when faced with unexpected constraints or the need for innovation around restraints. Ultimately, this paper contributes to discussions of organizational change while expanding the activities and role definition of change practitioners
Intercropping Silflower (Silphium integrifolium Michx.) maintains yields and reduces leaf rust infection compared to monocultures
No full textDatase
METHOD DEVELOPMENT FOR THE QUANTITATION OF NEONICOTINOID LEACHING FROM COMMERCIAL POTATO PRODUCTION
No full textThe contamination of groundwater with pesticides is a global threat to human and environmental health. Groundwater serves as a major drinking water source, and pesticides are frequently detected in groundwater in intensively farmed regions. Residents of rural areas with agricultural land use often rely on private wells without testing or treatment requirements, increasing their risk of exposure to groundwater contamination. Irrigated specialty crop production is often conducted in well-drained soils where pesticides can quickly leach into groundwater. The purpose of this thesis was to develop a field sampling method and an analytical method for the quantitation of neonicotinoid insecticide leaching in sandy soils. For the field sampling method, passive capillary samplers (PCAPS) were designed and their ability to measure water fluxes through sandy soil was evaluated through laboratory experiments and a field study at the University of Wisconsin Hancock Agricultural Research Station. The results of the PCAPS evaluation revealed that a large number of wicks, a small PCAPS pan surface area, and divergence control collars were necessary to achieve high collection efficiencies in well- drained soil. In the field experiment, percolation measurements from the PCAPS were highly variable indicating the need for substantial replication to obtain representative percolation estimates over large areas. To quantify the concentrations of the neonicotinoids imidacloprid, thiamethoxam, clothianidin, and their environmental transformation products in soil pore water samples collected from the PCAPS, a high-throughput liquid-chromatography tandem mass spectrometry (LC-MS/MS) method with a solid phase extraction (SPE) pretreatment step was developed. The SPE method using Waters Oasis HLB SPE cartridges provided high recoveries (>85%) for all target compounds in synthetic groundwater except for the desnitro-imidacloprid transformation product. The LC-MS/MS method precision was low during development with
relative standard deviations exceeding 10% for many target compounds during repeat injections of neonicotinoid standards. Mass spectrometer scans of diluent blank and neonicotinoid standard injections revealed that matrix effects due to coeluting solids were a likely cause of the low precision of the method. Future work improving the separation of target compounds from matrix interferences and the addition of isotope-labeled internal standards could improve the LC- MS/MS method performance. Together, the PCAPS designed in this thesis and the LC-MS/MS method developed provide valuable tools for pesticide monitoring in sandy soils
PREDICTIVE FACTORS OF GROWTH AMONG PRETERM NEWBORNS IN THE NEONATAL PERIOD: A SECONDARY ANALYSIS OF INTER-PRACTICE-21st FROM URBAN PAKISTAN
No full textPurpose: To assess growth patterns and identify predictive factors for postnatal growth failure (PGF) and rapid growth in preterm infants (PTIs) during the neonatal period in Pakistan.Background: Identifying postnatal growth patterns and associated factors during the neonatal period is crucial to improve both short- and long-term outcomes for this at-risk population. Methods: A secondary analysis of PTI growth during the neonatal period utilizing INTERPRACTICE-21st dataset was conducted. Descriptive statistics, and logistic regression were used to identify predictors of growth outcomes. Results: The median gestational age at birth was 32.3 weeks. Static and dynamic PGF were observed in 65% and 83% of PTIs, while static and dynamic rapid growth were found in 7% and 11%, respectively. Higher maternal education was linked to lower odds of static PGF (AOR: 0.81,95% CI: 0.67–0.97). With each one day of delay in oral feeding, the odds of static PGF increased by 1.15 (95% CI: 1.01, 1.31). Preterm infants who were not exclusively breastfed had lower odds of dynamic PGF (AOR: 0.19, 95% CI: 0.06, 0.60) and higher odds of dynamic rapid growth PGF (AOR: 8.47, 95% CI: 1.91, 37.60). Conclusions: There is a high burden of PGF along with a small proportion of rapid growth in the neonatal period of PTIs. Maternal education and infant nutrition may influence growth among PTIs. Implications for practice and research: Larger, multicenter prospective cohort studies are needed to understand the influence of maternal and infant factors on PTI growth outcomes. Key Words: anthropometry, breast milk, growth, neonate, nutrition, preterm infants2027-01-1
Evaluating video game moods and their separability based on user-generated reviews
No full textPurpose
The aboutness (a subject matter of resource) of information has been strongly emphasized when organizing and searching for different types of media resources. For video games, mood is one of the critical subjective elements that supports users in finding games of interest. The current study examines a previously developed video game mood controlled vocabulary (CV) to empirically test its applicability and evaluate the individual terms’ separability and distinctiveness.
Design/methodology/approach
The research team collected user reviews from Steam, an online game database. Three different games were selected for triangulation to represent each of the 17 moods identified in the existing CV, resulting in the selection of 51 games. Collected reviews were tokenized and investigated from individual, terminological and categorical levels of text analyses.
Findings
Through the application of multiple analysis techniques (frequency, cluster and network), findings confirm the intuitiveness and usefulness of the existing CV. Additionally, opportunities for increased category separability and distinctness are identified for three moods: Aggressive, Quirky and Intense.
Originality/value
The current study adopts a user-centered perspective to evaluate the existing metadata framework created based on literature analysis. This study aims to complement the literature-based framework with users’ perspectives to enhance the metadata for interactive multimedia resources, such as video games
