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The devaluation of women of Color (WoC) by way of gender discrimination and systemic racism is well documented. For WoC in engineering a chief cause is the observable wage gap. Women who identify as Asian, Black/African American, Latina/Chicana, Indigenous/Native American, Native Hawaiian, Pacific Islander, Native Alaskan, and/or multiracial have reported stark wage disparities. In this paper, we offer a phenomenological study of how WoC engineering faculty across U.S. academic institutions describe the challenges and practices associated with wage disparities and how they navigate these disparities. This study, which is based on participant interviews, is guided by three research questions: (1) What do WoC engineering tenure-track faculty perceive about wage disparities based on their race and gender? (2) How do WoC faculty understand the institutional practices that contribute to wage disparities? and (3) How do WoC engineering faculty respond to and address wage disparities? Using structural racism and intersectionality as our guiding conceptual framework, we interviewed 32 self-identified WoC who identified structures and systems of institutional racism related to the maintenance of wage disparities. In terms of findings, we note that WoC have two primary strategies to respond to wage disparity: advocacy and agency. The experiences of WoC engineering faculty in our study highlight unsatisfying institutional responses, and thus WoC often rely on their own agency to advocate for themselves and to advocate for and mentor other WoC faculty. We found a few notable cases where men advocated for women to help close the wage gap. Our work reveals that pay inequity for WoC is often coupled with other forms of exclusion and marginalization. Reducing wage disparities in academia is critical to advancing diversity efforts and ensuring equitable support for WoC faculty. Our findings suggest that institutions can work diligently to rectify wage inequality, including making sustainable structural and salary modifications and sharing the burden of combatting wage inequities. Finally, our findings also highlight the importance of making policy changes to reduce pay inequalities, such as providing transparent pay information and more opportunities to earn merit raises.

Abstract Orphan crops are important sources of nutrition in developing regions and many are tolerant to biotic and abiotic stressors; however, modern crop improvement technologies have not been widely applied to orphan crops due to the lack of resources available. There are orphan crop representatives across major crop types and the conservation of genes between these related species can be used in crop improvement. Machine learning (ML) has emerged as a promising tool for crop improvement. Transferring knowledge from major crops to orphan crops and using machine learning to improve accuracy and efficiency can be used to improve orphan crops.

The benefits of undergraduate research to student persistence and success has been established in the literature. Less studied, however, is the long term impact of early exposure to research among students from underserved backgrounds. This qualitative study of undergraduates participating in a unique summer research program uncovers the deeper meaning of the overall experience on the students: from the lab itself, to the mentors, peers, professional development, socials, and the impact of the program staff. Three major themes emerged: (1) Early exposure to research as a foundation for career direction; (2) Relationships with peers and mentors as highly valued; and (3) Development of skills leads to personal and professional growth, and confidence. Additionally, underrepresented students described the value of having minority role models and peers, and the excitement of continuing their research throughout their undergraduate careers. A full compensation package of stipend and housing made a practical difference for several of the participants. This qualitative study offers a deeper understanding of these impacts through the voices of the participants.

PurposeStigma is a fundamental driver of HIV disparities among transgender women (TW). The gender minority stress and resilience (GMSR) measure has not been validated in Spanish-speaking, resource-limited settings. We examined the psychometric properties of a translated and abbreviated GMSR among TW in Tijuana, Mexico.MethodsFrom 2020 to 2021, 152 participants were recruited through social media and venue-based sampling. We collected information on the abbreviated GMSR, psychosocial factors (e.g., depressive symptoms), and sociodemographics. The abbreviated GMSR assessed 7 factors (Discrimination, Rejection, Internalized Transphobia, Negative Expectations, Nondisclosure, Pride, and Community Connectedness). Confirmatory factor analysis, Cronbach's alphas, and McDonald's omegas assessed structural validity. Pearson's partial correlations assessed criterion, convergent, and discriminant validities.ResultsThe 7-factor structure solution had acceptable fit (root mean square error of approximation [95% confidence interval]=0.05 [0.05-0.06]; comparative fit index/Tucker-Lewis index=0.92/0.91); and internal reliability (α=0.62-0.89; ω=0.62-0.89). Depressive (r=0.22-0.43; p

It is becoming increasingly clear that not all students require the same education, and the requirement of personalized education is increasingly in demand. The incorporation of adaptive learning (AL) has increased in recent years. However, research on this subject is still evolving at the university level. In this study, we investigated the impact of integrating an AL tool (CogBooks[R]) in a university course (statistics for decision making) taught in an innovative online modality called FIT (flexible, interactive, and with technology), in which the course is designed in the CANVAS[R] platform and uses Zoom[R] as a means of communication with students. Learning outcomes were compared between the FIT courses with or without AL and between AL strategies in online and face-to-face courses. It was clear that AL improved the students' achievement regardless of the modality. In addition, we conclude that students achieve better in AL courses in the classroom than in distance courses. Satisfaction surveys favor a preference for FIT courses with AL over classroom classes with AL. Our results suggest that AL is a solid strategy for teaching undergraduate courses.

Over the last couple of decades, there has been a rapid growth in the number and scope of agricultural genetics, genomics and breeding databases and resources. The AgBioData Consortium (https://www.agbiodata.org/) currently represents 44 databases and resources (https://www.agbiodata.org/databases) covering model or crop plant and animal GGB data, ontologies, pathways, genetic variation and breeding platforms (referred to as 'databases' throughout). One of the goals of the Consortium is to facilitate FAIR (Findable, Accessible, Interoperable, and Reusable) data management and the integration of datasets which requires data sharing, along with structured vocabularies and/or ontologies. Two AgBioData working groups, focused on Data Sharing and Ontologies, respectively, conducted a Consortium-wide survey to assess the current status and future needs of the members in those areas. A total of 33 researchers responded to the survey, representing 37 databases. Results suggest that data-sharing practices by AgBioData databases are in a fairly healthy state, but it is not clear whether this is true for all metadata and data types across all databases; and that, ontology use has not substantially changed since a similar survey was conducted in 2017. Based on our evaluation of the survey results, we recommend (i) providing training for database personnel in a specific data-sharing techniques, as well as in ontology use; (ii) further study on what metadata is shared, and how well it is shared among databases; (iii) promoting an understanding of data sharing and ontologies in the stakeholder community; (iv) improving data sharing and ontologies for specific phenotypic data types and formats; and (v) lowering specific barriers to data sharing and ontology use, by identifying sustainability solutions, and the identification, promotion, or development of data standards. Combined, these improvements are likely to help AgBioData databases increase development efforts towards improved ontology use, and data sharing via programmatic means. Database URL  https://www.agbiodata.org/databases.

Women of color (WoC) continue to be underrepresented in engineering programs across the United States. Many scholarly reports on faculty demographic characteristics do not provide measures regarding the representation of WoC faculty due to data reporting restrictions or lack of relevant data. Using 14 years of data from the American Society for Engineering Education, this study examined the trends in the prevalence of WoC faculty and PhDs in engineering between 2005 and 2018. Informed by intersectionality theory and Kanter's theory of proportions, descriptive analyses were used to disaggregate the prevalence of engineering faculty by gender, race/ethnicity, and engineering discipline. Findings indicate that there were slight growths in the representation of African American/Black, Native American/Native Hawaiian, and Hispanic/Latina women engineering faculty. The low representation of WoC is also evident among engineering PhDs. Changes in the shares of WoC in assistant, associate, and full professor ranks and in the production of PhDs provide insights for future demographic shifts in engineering education. Greater efforts and investments are needed in the recruitment of WoC into PhD programs and, subsequently, as assistant professors across engineering disciplines. Although interventions and programs aimed at helping increase the participation of WoC faculty in engineering have made progress, findings suggest that larger scale structural and cultural changes are needed to shift prevailing demographic trends in the engineering professoriate, including expanding student access to doctoral education in engineering. Research findings have the potential to provide foundational information for developing strategies to increase the representation of WoC engineering PhDs and faculty.

Gender disparities in Science, Technology, Engineering, and Mathematics (STEM) faculty composition remain a major issue in U.S. higher education. Specifically, the underrepresentation of women of color has been described as a crisis. We developed the Workplace Climate and Persistence Scale (WCPS) for STEM faculty to assess departmental-level climate factors associated with faculty persistence, using a framework of the intersectionality of gender, race/ethnicity, and socioeconomic background. To validate the WCPS, we conducted analyses for construct validity, internal consistency reliability, and criterion validity evidence using data from 394 STEM faculty at three universities. Exploratory and confirmatory factor analyses resulted in 43 items loading across nine factors in a good model fit range. The nonlinear SEM reliability coefficients ranged from 0.811 to 0.971, with the overall Omega = 0.991. The correlation matrix indicated that the WCPS differentiates STEM faculty's perceptions by multiple social identities. We expect the WCPS to help administrators identify where to target approaches to improve climate and assess the effectiveness of such interventions.

Abstract The timing of flowering in soybean [Glycine max (L.) Merr.], a key legume crop, is influenced by many factors, including daylight length or photoperiodic sensitivity, that affect crop yield, productivity, and geographical adaptation. Despite its importance, a comprehensive understanding of the local linkage landscape and allelic diversity within regions of the genome influencing flowering and contributing to phenotypic variation in subpopulations has been limited. This study addresses these gaps by conducting an in‐depth trait association and linkage analysis coupled with local haplotyping using advanced bioinformatics tools, including crosshap, to characterize genomic variation using a pangenome dataset representing 915 domesticated and wild‐type individuals. The association analysis identified eight significant loci on seven chromosomes. Moving beyond traditional association analysis, local haplotyping of targeted regions on chromosomes 6 and 20 identified distinct haplotype structures, variation patterns, and genomic candidates influencing flowering in subpopulations. These results suggest the action of a network of genomic candidates influencing flowering time and an untapped reservoir of genomic variation for this trait in wild germplasm. Notably, GlymaLee.20G147200 on chromosome 20 was identified as a candidate gene that may cause delayed flowering in soybean, potentially through histone modifications of floral repressor loci as seen in Arabidopsis thaliana (L.) Heynh. These findings support future functional validation of haplotype‐based alleles for marker‐assisted breeding and genomic selection to enhance latitude adaptability of soybean without compromising yield.

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Few evidence-based trainings exist on how to equip healthcare providers, particularly nurses, with the skills to engage in cost of care conversations with patients/caregivers to mitigate the impact of cancer-related financial toxicity. This study evaluated a pilot training developed in collaboration with Triage Cancer® to prepare oncology nurses to identify and assist patients/caregivers facing financial and/or legal barriers to care. Ten pediatric oncology nurses completed the training and pre/post-surveys on behaviors related to financial and legal need screening, frequency and comfort level of answering questions, knowledge, and behavior changes, along with training evaluation questions. At baseline, six nurses reported never screening for financial needs and nine for legal needs. Following the training, seven nurses stated they were likely to screen for financial/legal needs. At six months post-training, nurses had referred 85 patients/caregivers to financial/legal navigation services. Comfort levels in answering financial/legal questions increased by 6.5 points and knowledge scores increased by 1.7 points post-training. Most nurses recommended this training to other healthcare providers who work with patients with cancer and their caregivers. This study highlights the importance of providing oncology nurses with resources to engage in cost of care conversations and oncology financial legal navigation programs to mitigate the impact of cancer-related financial toxicity.

Behavioral health services access for justice- and child welfare-involved youth is limited despite significant need. Structural interventions to address limited access are nascent. Technology can advance access, but few interventions focus on system-impacted youth and their mental health needs and challenges. This article describes the development, process, and initial outcomes of the Youth Justice and Family Well-Being Technology Collaborative (JTC) that was formed to leverage technology within and across public health and justice-related systems to promote increased behavioral health services access. Cross-system considerations are identified for public health, court, and other key stakeholders to successfully integrate technology into practice to expand access to these critical services.

In comparison with traditional lectures, active learning methods have the potential to foster learner agency and consequently raise academic performance. However, these methods are often applied with little knowledge about their effectiveness. In this study, we introduced two concept maps in an undergraduate cell biology course, to investigate their effect on student performance, but also mental health, in a quasi-experimental setup. By implementing group tasks into the work, we aimed to reduce feelings of loneliness among the participants, a common phenomenon among students in the study country. We evaluated the effects of the concept maps via exam grades and in an anonymous student survey. Here, we found no increase in student performance after introduction of the active learning task. Students also did not report improvements in their feelings of loneliness. We conclude that this active learning method did not detectably improve student performance or mental health, a result which does not conform to the popular perception of positive effects from active learning. The survey revealed that students do not have a preference for either active learning or traditional lectures, however, the students experienced that the concept map helped them to describe, explain and hypothesize about the topics. Overall, this shows that the concept map method is a valid alternative to traditional lectures, since students perform equally between both learning approaches.

The phonological loop of the working memory system plays a key role in language learning. This study examined the trajectories between two dual-language learner groups (English Learners [ELs] and Spanish Learners [SLs]) on phonological loop measures in L1 and L2. At Grade 1, children completed a battery of vocabulary and cognitive measures and were retested in Grade 3. A series of random effects ANOVAs showed that SLs outperformed ELs on English loop measures, with strong growth in the English loop, but not in Spanish. No significant difference in Spanish loop performance occurred at Grade 3. Considerations for future research and practical implications are discussed.

Managers and stakeholders increasingly ask whether predation is a driving force behind the poor status of many species, and whether predator control is likely to be a successful management action to intervene. We review existing literature on Atlantic salmon Salmo salar predation and predator control, as well as general ecological theory on the role of predation in the life cycle of this iconic fish. Many bird, mammal, and fish predators target salmon at different life stages. In healthy salmon populations, predation is likely compensated for by reduced intraspecific competition during the freshwater stage. There is little evidence that predation alone has been an underlying mechanism for driving salmon populations below conservation limits. However, depending on the predator's response to salmon abundance, predation may keep decimated populations from recovering, even when the actual causes of decline have been removed. Under such a scenario, predation control may contribute to recovery, but there are no strong examples that clearly demonstrate the efficacy of managing predators to recover threatened salmon populations, challenging further applications. Key words: predators, predation impact, predator species, Salmo salar, stock recovery, Introduction Few species on the planet inspire as much fascination and sympathy as the Atlantic salmon Salmo salar. Salmon is a symbol of the native ecosystems in the North Atlantic [...]

Maize (Zea mays L.) has been shown to be sensitive to temperature deviations, influencing its yield potential. The development of new maize hybrids resilient to unfavourable weather is a desirable aim for crop breeders. In this paper, we showcase the development of a multimodal deep learning model using RGB images, phenotypic, and weather data under temporal effects to predict the yield potential of maize before or during anthesis and silking stages. The main objective of this study was to assess if the inclusion of historical weather data, maize growth captured through imagery, and important phenotypic traits would improve the predictive power of an established multimodal deep learning model. Evaluation of the model performance when training from scratch showed its ability to accurately predict ~89% of hybrids with high-yield potential and demonstrated enhanced explanatory power compared with previously published models. Shapley Additive explanations (SHAP) analysis indicated the top influential features include plant density, hybrid placement in the field, date to anthesis, parental line, temperature, humidity, and solar radiation. Including weather historical data was important for model performance, significantly enhancing the predictive and explanatory power of the model. For future research, the use of the model can move beyond maize yield prediction by fine-tuning the model on other crop data, serving as a potential decision-making tool for crop breeders to determine high-performing individuals from diverse crop types.

A global international initiative, such as the Earth BioGenome Project (EBP), requires both agreement and coordination on standards to ensure that the collective effort generates rapid progress toward its goals. To this end, the EBP initiated five technical standards committees comprising volunteer members from the global genomics scientific community: Sample Collection and Processing, Sequencing and Assembly, Annotation, Analysis, and IT and Informatics. The current versions of the resulting standards documents are available on the EBP website, with the recognition that opportunities, technologies, and challenges may improve or change in the future, requiring flexibility for the EBP to meet its goals. Here, we describe some highlights from the proposed standards, and areas where additional challenges will need to be met.

Abstract Background Bystander administration of naloxone is a critical strategy to mitigate opioid overdose mortality. To ensure bystanders’ willingness to carry and administer naloxone in response to a suspected overdose, it is critical to select products for community distribution with the highest likelihood of being utilized. This study examines bystanders’ preference for and willingness to administer three naloxone products approved by the FDA for bystander use and identify product features driving preference. Methods The population was a convenience sample of individuals who attended the Kentucky State Fair, August 18–28, 2022, in Louisville, Kentucky. Participants (n = 503) watched a standardized overdose education and naloxone training video, rated their willingness to administer each of three products (i.e., higher-dose nasal spray, lower-dose nasal spray, intramuscular injection), selected a product to take home, and rated factors affecting choice. Results After training, 44.4% chose the higher-dose nasal spray, 30.1% chose the intramuscular injection, and 25.5% chose the lower-dose nasal spray. Factors most influencing choice on a 10-point Likert scale were ease of use (9 [7–10]), naloxone dose (8 [5–10]), and product familiarity (5 [5–9]). Conclusions Bystanders expressed high willingness to administer all studied formulations of naloxone products. Product choice preference varied as a function of product features. As the number and variety of available products continue to increase, continuous evaluation of formulation acceptability, in addition to including individuals with lived experience who are receiving and administering overdose reversal agents, is critical to support adoption and save lives.

Abstract Graphene is emerging in numerous wearable and biomedical applications. Understanding the impact of graphene‐based nanocomposites over bacterial activity is critical for design appropriate technical solutions. In this work, antibacterial activity of monolayer and few‐layer graphene is tested against Gram‐negative and Gram‐positive model bacteria. Such graphene‐based nanomaterials present different effects on bacteria viability, depending on concentration and shape. The presence of dopant agents can either increase or revert graphene antibacterial effect. Among other bactericidal mechanisms, we also demonstrate that graphene surface polarity is connected to antibacterial properties and can be easily modified by surface charge transfer doping. This electrophilicity tuning offers a novel mechanism for the molecular basis of graphene's antibacterial activity.