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Effective infection control requires a close fit between the mask and face to minimize gaps. This study investigated whether surgical mask performance varies with face shape and mask size. Three facial models were 3D-printed using head-related transfer function data. Two mask sizes were tested on each model, and 3D measurements were taken at five facial points: the nose, cheeks, and chin to assess mask-to-face gaps. To simulate droplet emission, an aqueous sodium chloride solution was released from a pseudo-oral cavity in the models, and air leakage was measured using a mask-fitting tester. A two-way analysis of variance (ANOVA) was used to examine the effects of face and mask size on leakage. Small face models showed significantly higher leakage than medium and large ones (p < 0.001), and S-sized masks leaked more than M-sized masks regardless of face size (p = 0.038).<b> </b>Linear regression showed a positive correlation between chin gaps and leakage when using S-sized masks (p < 0.05). These results suggest that medium-sized masks offer better overall performance. However, for small faces, fit—especially at the chin, requires particular attention.

<b>Background:</b> The Minorities' Diminished Returns (MDRs) theory posits that social determinants of health, such as parental education, exert weaker protective effects on health and educational outcomes in racialized and minoritized populations compared to White populations. <b>Aim: </b>This study examines whether higher maternal education is associated with better high school GPA in Black youth and whether this association aligns with the MDRs framework. <b>Methods:</b> Data were drawn from the Future of Families and Child Wellbeing Study also known as Fragile Families and Child Wellbeing Study (FFCWS) baseline and 22nd year follow-up (1990-2022). This study included 1873 Black or White participants who were followed from birth to age 22. Linear regression models were used to assess the association between maternal education and high school GPA, adjusting for sociodemographic covariates. Analyses focused on the differential effects of maternal education across racial groups, particularly among Black youth. <b>Results:</b> While maternal education was positively associated with high school GPA, this effect was weaker for Black students compared to their White counterparts. Specifically, each additional year of maternal education corresponded to a lower GPA increase in Black students, consistent with the MDRs hypothesis. <b>Conclusion:</b> Findings support the MDRs theory, indicating that maternal education has a reduced protective effect on high school GPA among Black youth. These results underscore the need for policies that address structural factors beyond education to promote equitable academic achievement.

<b>Background:</b> Parental education is a key determinant of academic performance, yet its protective effects may differ by race and ethnicity. The concept of Minorities’ Diminished Returns (MDRs) highlights the weaker association between socioeconomic resources and outcomes for marginalized populations, including Black and Latino youth. <b>Objective:</b><b> </b>To investigate whether the positive association between parental education and school performance (letter grades) is weaker for Black and Latino youth compared to non-Latino White youth. <b>Methods:</b><b> </b>Data were drawn from the Monitoring the Future (MTF) 2023 study. The sample included Black, Latino, and non-Latino White youth. The outcome was a nine-level continuous measure of academic performance based on self-reported letter grades, with higher scores indicating better performance. Multivariate regression models tested interactions between parental education and race/ethnicity in predicting grades, adjusting for confounders such as family income, gender, and school characteristics. <b>Results:</b><b> </b>A total number of<b> </b>7584 12<SUP>th</SUP> graders entered the study.<b> </b>Parental education was positively associated with school performance across all groups, but the magnitude of this association was significantly smaller for Black and Latino youth compared to non-Latino White youth. Even after controlling for socioeconomic and contextual factors, the racial and ethnic differences in the strength of this association persisted. <b>Conclusions:</b><b> </b>Our findings provide evidence of Minorities’ Diminished Returns (MDRs) in the academic domain, with Black and Latino youth experiencing weaker benefits of parental education on school performance. These disparities suggest that structural barriers and systemic inequities undermine the translation of parental educational attainment into academic success for marginalized groups. Policy interventions must address these structural barriers to promote equity in educational outcomes.

<b>Objective:</b> Inequalities exist in children’s educational outcomes—including reading proficiency, school discrimination, and school disciplinary actions—across zip codes with different levels of educational childhood opportunity index (COI). This study examines the interaction between race and educational environment on children’s educational outcomes. We hypothesize that race, parental education, and their interaction are associated with perceived school discrimination, which in turn reduces their cognitive, academic, and emotional wellbeing. We also hypothesize that Black children with high socioeconomic status (SES) report high perceived school discrimination in high-COI settings. <b>Methods</b><b>: </b>Data were drawn from the Adolescent Brain Cognitive Development (ABCD) study, which measures a wide range of educational, cognitive, and emotional outcomes. At the same time, the ABCD children are sampled across areas with vast differences in COI rankings, that can be classified into these five categories: very high, high, average, low, and very low educational COIs. Our structural equation models (SEM) tested the additive and interactive effects of race and educational attainment on perceived school discrimination, and the effects of school discrimination on various cognitive abilities (reading proficiency, picture vocabulary, and list sorting working memory), school suspension, as well as depressed mood. Our multi-group SEM assessed how these relationships vary across educational COI levels. <b>Results</b><b>: </b>Our findings showed that high SES Black children report highest school discrimination in residential areas with highest COIs. This is based on the observation that the interaction between race and parental education on experiences of school discrimination were only significant in areas with highest COI. Across residential areas with different COI levels, students who experienced higher school discrimination had higher suspension, worse depression, and worse cognitive performance. <b>Conclusion</b><b>: </b>While higher COIs are associated with better academic outcomes, Black-White gaps exist in the role of increased COI through increased racial bias that children perceive. These findings underscore the complexity of educational equity, suggesting that improving COI alone is insufficient for eliminating racial disparities in school experiences. Policies should be in place to reduce school-based discrimination against Black students in high COI settings.

<b>Objective: </b>This study examines racial disparities in educational outcomes—including reading proficiency, grade point average (GPA), school discrimination, and school disciplinary actions—across regions with different levels of educational childhood opportunity index (COI). Our aim is to explore how these racial gaps between Black and White students vary in areas with differing educational opportunities. We hypothesize that higher COI is associated with smaller academic achievement gaps but may also correspond with greater racial bias in unfair school treatment. <b>Methods: </b>Data were drawn from the Adolescent Brain Cognitive Development (ABCD) study, which provides comprehensive measures of educational outcomes, cognitive performance, and COI. National COI rankings were used to classify regions into five categories: very high, high, average, low, and very low educational opportunity. We analyzed racial gaps in reading proficiency, and experiences of discrimination and suspension across these COI categories. Multi-group Structural Equation Models (SEM) were used to assess how the relationship between race and educational outcomes varies across COI levels. <b>Results: </b>Our findings confirmed that Black-White gaps in reading proficiency and cognitive test performance (Flanker task) were less pronounced in regions with higher COI. However, racial disparities in school disciplinary actions and experiences of discrimination were more pronounced in higher-opportunity areas. Specifically, the effect of Black race was stronger in regions with the highest COI, where Black students experienced a disproportionately higher rate of unfair school treatment, including both school discrimination and suspensions, compared to their White peers. <b>Conclusion: </b>This exploratory study supports that while higher educational opportunities are associated with smaller academic achievement gaps between Black and White students, they might be linked to increased racial bias in school disciplinary actions and discriminatory treatment. These findings underscore the complexity of educational equity, suggesting that improving access to quality education alone is insufficient to eliminate racial disparities in school experiences. Addressing school-based bias and discrimination must accompany efforts to enhance educational opportunities.

Background: </b>Racial disparities in educational outcomes persist in the United States, with Black individuals experiencing lower levels of educational attainment and a higher rate of school disciplinary actions compared to their White counterparts. Parental education is a known predictor of offspring educational attainment, but its effects may vary by race. Understanding the role of household income in mediating these effects is crucial for developing targeted policy interventions to reduce educational inequalities. <b>Objectives: </b>This study aimed to examine the role of household income in mediating the differential effects of maternal education on two youth educational outcomes (educational attainment by age 22 and school disciplinary action) in Black and White families. <b>Methods: </b>Data were drawn from the 22 years of follow-up of the Future of Families and Child Wellbeing Study (FFCWS), a longitudinal study following a cohort of children born in large U.S. cities between 1998 and 2000. Participants included 1,647 Black and 689 White young adults who were followed from birth to age 22. Maternal education, household income, family structure, and paternal incarceration were assessed at baseline (birth), and two youth educational outcomes, namely educational attainment and any school disciplinary action, were assessed at age 22 (emerging adulthood). Using structural equation modeling (SEM), mediation analysis was conducted to examine whether household income partially mediates the effects of maternal education on youth educational outcomes, with race (Black vs. White) as the moderator. <b>Results: </b>The results indicated that maternal education was positively associated with youth educational attainment and negatively associated with school disciplinary actions in the pooled sample that included both Black and White families. However, the effect of parental education on educational attainment at age 22 was weaker for Black than White families. Household income partially mediated racial differences in the effect of maternal education on youth educational attainment. The results suggest that lower household income in Black families is why we observe a weaker effect of parental education on youth educational attainment for Black youth compared to White youth. <b>Conclusion</b><b>s</b>: Findings suggest that the lower household income of families is one of the reasons high maternal education levels are associated with lower youth educational attainment in Black than White families. Addressing income disparities through tax policies may help reduce racial disparities in education and promote educational equity for Black youth.

This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies to guide clinical translational research using methods such as retrospective bioinformatic analyses. Implementing them to a large-scale gene therapy database reveals that it is feasible to construct and apply well-performing interpretable, supervised learning models [2]. Preliminary evidence of machine learning approaches' statistical significance helps clinicians and biomedical researchers, market participants, and regulatory and economic experts derive relevant, practical applications, thereby enhancing the deployment of gene therapy and genomics to achieve positive, long-term growth for humanity while alleviating the ongoing worldwide economic burden precipitated by prolonged and recurring diseases. Deploying machine learning techniques to accelerate gene and cell therapy drug development and trials shall also mitigate the existing obstacle of limited patient access to emerging, transformative medical innovations such as gene therapy due to skyrocketing prices, which often herald gene therapy products as the world's most expensive medicines [3]. Moreover, in preventing patients from accessing effective, life-saving genetic medicines, there commonly exists a multidimensional access gap encompassing the availability, affordability, and quality or acceptability of these clinical treatments. The ensuing substantial gap has repeatedly been documented and mainly emanates from differential institutional and socio-political choices around resource allocation at international and domestic levels [4]. Particularly, it is also due to the stringent licensure and regulatory approval processes underpinned by insufficient evidence for novel safety and clinical efficacy profiles for genetic therapies in multiple micro-local diagnoses and subpopulations. We believe that a higher likelihood of gene therapy adoption shall result when the clinical evidence path contains adequate representation from the most diverse and relevant patient populations [5].

There is a growing body of evidence that the number of individuals suffering from chronic and acute pain is under-reported and the burden of the veteran, aging, athletic, and working populations is rising. Current pain management is limited by our capacity to collaborate with individuals continuing normal daily functions and self-administration of pain treatments outside of traditional healthcare appointments and hospital settings. In this review, the current gap in clinical care for real-time feedback and guidance with pain management decision-making for chronic and post-operative pain treatment is defined. We examine the recent and future applications for predictive analytics of opioid use after surgery and implementing real-time neural networks for personalized pain management goal setting for particular individuals on the path to discharge to normal function. Integration of personalized neural networks with longitudinal data may enable the development of future treatment personalizations paired with electrical simulations.

Migrating enterprise policy systems to .NET Core is a key objective of digital transformation in the Insurance IT ecosystem. This change directly addresses strategic drivers: enabling adoption of cloud-first development, resisting market pressure for more flexible and usable enterprise solutions, and preparing for changing demands from regulation and compliance. Phases of operational benefit aligned with risk mitigation form the basis of the migration roadmap, with a strong focus on engaging all relevant stakeholders. Market pressure for a SEAMLESS user experience across ALL applications is a fundamental driver for Investment in digital transformation. Gaps remain in enterprise Operations, where Legislative and regulatory accountability Demand rigid and complex solutions that Liberty has not yet been able to provide. New risk-based capital requirements, Data-Sovereignty controls, Controls for sensitive Data in the Cloud, and new Audit requirements create a long list of challenges for the ecosystem that can no longer be Deferred. At the same time, Cross-organisational integration is becoming more important and integrating partners from the insurance supply-chain requires a much more flexible approach to development and Deployment. These factors combine to generate a credible case for accelerated digital investment with a focus on Migration to Cloud Platforms, with related Risk mitigation, Quality Improvements, and flexibility benefits that close Industry gaps.

The equipment used in the construction industry is usually associated with a high impact on the environment. Although sustainable design has shown to be a main player among the initiatives focused on reducing environmental impact, it has been driven by the workers and processes, leaving the equipment endeavors in more restrictive and later stages. The equipment industry has been a constant target of environmental standards and economic pressure, but the increasing technological development allows it to respond to sustainability and safety expectations while enhancing its performance. However, there are still several limitations that lead this sector to be one of the last to reach upgrading levels in terms of development. A study identified some gaps in the equipment design that require a greater effort to effectively support the workers and companies towards sustainable construction. This chapter is based on a study aiming to understand the consolidated knowledge of technologically sustainable equipment design and to identify the challenges left for its full development. The findings support the development of innovative eco-friendly equipment, taking into consideration sustainable materials and product guidelines, as well as green economy initiatives. It also supports complex system approaches and safety by design specificities to establish a corporate knowledge of sustainable equipment and align it with the new regulations of the construction industry. The chapter introduces the context of construction equipment in terms of new challenges when faced with the need to provide construction work with a greater capacity for safety, from an environmental and energy efficiency perspective, and within the paradigm of sustainability. Then, it presents the concept of sustainable equipment considering its principles, followed by a characterization of the agents involved in its life cycle.

Seamless integration of information in organizations promotes not only the operational efficiency but also the quality of decisions made by managers. Real-time decision support systems enable organizations to evaluate organizational changes immediately and ideally gives a hint of problems before they even appear in the organization. Such real time systems are nowadays regarded as the front-line solutions for managing organizations effectively. The technological possibilities seem not to conquer management. For most companies the data is still dealt with traditional solutions, data is collected and reports are generated to evaluate the past occurrences which only gives information on what has happened in the organization. The problem with these non-real-time systems is the reflection of organizational condition very late. These are the common rear-mirror descriptions for what already has been. Managers are receiving information from their organizations too late and often too little to make optimal decisions. Is it not possible to manage operations in real-time? Is real-time decision support really needed? If so, why most organizations still rely on traditional reporting systems.