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(1) Understanding the thermal sensitivity of reproductive interactions is crucial given global warming. Previous studies have almost exclusively focused on interactions before mating, even though important interactions between the sexes also occur after mating (e.g., gamete interactions), which are likely affected by temperature. (2) Thus, it remains unknown how temperature affects the influence of female reproductive fluid on sperm performance, thereby altering female control over fertilization (cryptic female choice). This gap limits our understanding of how sexual selection changes with seasonal temperature fluctuations and temperatures outside the range of historical norms. (3) We tested how temperatures relevant to current conditions and climate change projections influence the mechanisms underlying cryptic female choice in a marine fish, Symphodus ocellatus. Under typical thermal conditions, female reproductive fluid enhances sperm velocity and biases fertilization dynamics to favor preferred, dominant males over sneaker males. (4) We find that warmer temperatures decrease female influence on sperm velocity, especially for dominant males. This results in dominant males having slower sperm than sneaker males at warmer temperatures, reducing the expected paternity of preferred, dominant males. (5) Our results highlight that considering the thermal sensitivity of female-male interactions that occur after mating will be essential for understanding how seasonal variation and climate change can influence fertility, reproduction, and sexual selection.

<p>This report describes features of actinobacteriophages assigned to subcluster EK2.  Additional phages may have been added to the phagesDB database since the generation of this report.</p>

La Colonia Digital Archive: New Haven's Italian American Community, 1890–1930 is an open-access digital humanities project documenting the professional and civic life of New Haven's Italian American community between 1890 and 1930. The archive is based on Antonio Cannelli's La Colonia Italiana di New Haven (1921), a 373-page Italian-language volume combining a community Who's Who with a survival guide for new immigrants. Cannelli documented 248 individuals and more than 90 businesses, including physicians, attorneys, pharmacists, musicians, grocers, and bankers. Cannelli published his volume in 1921, the same year that Nicola Sacco and Bartolomeo Vanzetti went on trial for murder in Massachusetts; they were convicted on July 14, 1921, and sentenced to death in a case that became an international cause célèbre and a defining watershed of anti-immigrant sentiment directed specifically at Italians. The trial unfolded against a broader landscape of systematic exclusion: the Emergency Quota Act of 1921 had passed just months earlier, sharply restricting Southern and Eastern European immigration, and Italians faced sustained targeting, marginalization, and persistent characterization as unskilled, unassimilable, and threatening. Cannelli's documentation was deliberate advocacy in precisely this climate: a counter-narrative assembled to demonstrate the professional achievement, civic engagement, and cultural diversity and richness of a community that dominant American discourse refused to acknowledge. La Colonia Digital Archive makes that narrative searchable and accessible to researchers, descendants, and the general public, plotting archival documents and photographs onto contemporary maps of New Haven and the surrounding area. The archive is currently in active pre-launch development. Public release is planned for 2026, with ArcGIS StoryMap components to be added through 2026–2027.

Preventive health behaviors play a critical role in reducing disease risks and improving public health outcomes, particularly among vulnerable populations such as women in rural communities. However, limited research has explored the determinants of intentions to adopt preventive health behaviors in developing contexts among women in rural communities. This study applies and extends the Theory of Planned Behavior (TPB) to examine these determinants in Algeria. A cross-sectional study was conducted using convenience sampling among 205 women in rural communities aged 20–60 years across five Algerian cities. Data were collected through a self-administered questionnaire and analyzed using hierarchical multiple regression. The results indicate that attitude, subjective norms, and perceived behavioral control have significant positive effects on behavioral intention. The inclusion of health literacy significantly enhances the model’s explanatory power, with higher literacy associated with stronger intentions. In contrast, perceived healthcare discrimination does not have a statistically significant effect. The extended model explains 57.5% of the variance in behavioral intention. These findings underscore the importance of psychosocial and informational factors in shaping preventive health intentions and support the extension of TPB in this context. They also provide practical implications for policymakers and healthcare practitioners to design targeted social marketing interventions aimed at improving preventive health behaviors and reducing health disparities among women in rural communities. © 2026 by the authors.

<p>This report describes features of actinobacteriophages assigned to subcluster AZ1.  Additional phages may have been added to the phagesDB database since the generation of this report.</p>

Abstract Description The identification and prioritization of cancer-specific neoepitopes from next-generation sequencing data for personalized immunotherapies such as cancer vaccines remains challenging and requires the use of complex bioinformatics approaches. Here, we present GeNeo2, an updated version with enhanced features of the GeNeo toolbox for predicting neoepitopes from matched tumor/normal exome sequencing data coupled with tumor RNA-Seq data (Al Seesi et al., 2023). Unlike GeNeo, which identifies neoepitopes generated by single nucleotide variants, GeNeo2 also predicts neoepitopes generated by somatic indels. A distinguishing feature in GeNeo2 is that it integrates tools for analyzing mass spectrometry immunepeptidomic data, which can reveal neoantigens derived from both canonical and noncanonical sources. Finally, GeNeo2 integrates novel machine-learning approaches to improve the accuracy of somatic variant calling and peptide identification from mass spectrometry data. GeNeo2 tools can be accessed via web-based interfaces deployed on a Galaxy portal accessible at https://neo.engr.uconn.edu/. A virtual machine image for running GeNeo2 locally is also available to academic users upon request. Topic Categories Computational and Systems Immunology (COMP)

This article explores a collaborative initiative undertaken by a state university aimed at implementing and expanding an Early College Program. The conceptual framework, practical strategies, collaborative efforts and background of this initiative are presented. With a focus on improving college access for all, the article introduces the university's efforts to promote an inclusive Early College Program accessible to high-need students in particular. This collaborative approach highlights the importance of fostering collaboration among both internal and external partners of Institutions of Higher Education (IHE). By sharing insights into the program design and implementation, the article aims to inspire similar initiatives and contribute to the ongoing dialogue promoting early college experiences for all.

Research in Mathematics Education.This change reflects the journal's expanding scope, integrating both theoretical and practical aspects of mathematics education in alignment with growing interdisciplinary and applied academic trends.In this editorial, we discuss revised scope of MERP and invite contributions from a diverse range of researchers and practitioners

INTRODUCTION: Adolescents with type 1 diabetes (T1D) face barriers to moderate-to-vigorous physical activity (MVPA) such as uncertainty with self-management, limited access to supportive environments, and stigma related to living with diabetes. Opportunities for peer activities with T1D role model support are limited. To address this need, we tested iterative refinements of pilot Virtual Exercise Games for Youth with T1D (ExerT1D) for feasibility and acceptability. METHODS: The program included 6 versions: study 1 (1.1-1.4) included an active video game, and study 2 (2.1-2.2) included a virtual reality (VR) active video game. All versions included T1D exercise management education by clinicians and goal-setting guided by young adult coaches with T1D. RESULTS: Seventeen adolescents (median age 15.4 [IQR 14.6-16.4] years, 7 non-Hispanic white, 8 male, median HbA1c 8.1% [IQR 7.4%-11.1%]) were enrolled. Participants rated the program, comfort, clinicians, coaches, and group cohesion high/very high. Motivation for the video game was high. Building T1D and MVPA self-management skills was rated excellent at most sessions, as were peer interactions and enriched communication after adding immersive VR in study 2. Transitions between VR apps caused delays of 19 ± 6 min per 60 min-90 min session. Compared to baseline, HbA1c or glucose management indicator decreased over time in an exploratory analysis (d = -1.12, 90% CI: [-1.78, -0.48]). CONCLUSIONS: In a small cohort, the ExerT1D program facilitated a supportive environment for engaging diverse youth with T1D in an MVPA program led by T1D coaches. Larger studies are needed to assess the intervention's impact on engagement with physical activity, glycemic outcomes, and quality of life.

Women remain significantly underrepresented in the construction industry, particularly in the skilled trades. Through qualitative exploratory interviews with six women, this study investigates the career trajectories, worksite barriers, and motivational influences shaping women’s experiences in the construction skilled trades. The research is framed using Donald Super’s Life-Span, Life-Space theory and expectancy-value theory (EVT) to explore how career stages and career value affect women’s experiences. Participants described gender bias, limited mentorship, and restricted advancement opportunities as primary challenges. This study highlights the need for industry-led initiatives to increase early exposure to trades, improve mentorship and sponsorship programs, and create structured pathways for career advancement.