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Examining the Evolution of Coaches Issues in Interscholastic Sport
No full textCentral to interscholastic athletic programs are coaches who directly affect the developmental outcomes experienced by student-athletes through their participation (Blanton et al., 2024; Grant, 2024; O’Boyle, 2014). Forsyth et al. (2022) analyzed the key issues perceived by athletic administrators to affect the coaching position, with Coaches Education rated as the single most important issue and Finding Coaches and Retaining Coaches also deemed to be of very high importance. Over time, the coaching role has continued to evolve, as increased role demands (Ratts, 2025), changing stakeholder expectations (Johnson et al., 2019; Stoffer et al., 2021), and growing burnout and turnover (Martin et al., 2025) have complicated the position. Thus, the purpose of this study was to provide an updated examination of the coaches issues viewed by today’s athletic administrators as most important within the current high school sport landscape. Three issues (i.e., Retaining Coaches, Coaches Education, and Finding Coaches that Teach) persisted over time, notably an increase in the importance of keeping coaches, a decreased importance placed on facilitating coaching education, and finding coaches that teach maintaining its importance over time. Furthermore, nine new issues emerged, including the two concerns (i.e., Quality Coaches and Building Positive Relationships with Coaches) rated as most important in this study. This contemporary analysis offers practitioners in high school athletics key considerations that can help them ensure the most pressing coaches issues can be addressed to create valuable experiences for coaches
AI-Based Detection of Optical Microscopic Images of Pseudomonas aeruginosa in Planktonic and Biofilm States
Full text linkThe Ethics of AI in Wealth Management
Full text linkThis paper examines the ethical implications of AI in wealth management by analyzing regulations from international and national securities bodies and evaluating how firms implement AI responsibly. While current regulations are not perfect, they generally promote ethical AI use, and firms are actively working to reduce biases and enhance data security
Debt Analysis and Evaluation
Full text linkAbstract: The household debt dynamics in the United States have been influenced by some socio-demographic factors. This study examines the socio-demographic factors by using a dataset of 15,000 households from the 2019 Survey of Consumer Finances. The research analyzes determinants including age, education, marital status, college level, race, kids, job, rent, knowledge, willingness to take financial risks, financial literacy, and the total value of a checking account
Teaching Teachers to Stand Up: Fostering Moral Reasoning and Courage through Neo-Abolitionist Pedagogies in Multicultural Education
Full text linkIn today’s increasingly polarized educational landscape, debates over diversity, equity, and inclusion (DEI) have reached a critical juncture. Anti-DEI policies and legislation are not only reshaping educational policy but are also producing tangible adverse effects on teacher behavior—often creating chilling effects that undermine authentic multicultural education. In light of these challenges, this article contends that teacher preparation programs must fundamentally reorient their curricula to cultivate robust moral reasoning and moral courage among preservice teachers. By integrating theoretical frameworks such as Kohlberg’s theory of moral development and Rest’s Four-Component Model with the transformative principles of neo-abolitionist teaching, we propose a comprehensive strategy for empowering future educators. This approach empowers teachers to address systemic inequities and cultivate inclusive, equitable classrooms that promote social justice
The Heritage Co\u27s Social Media Strategy
Full text linkObjectives • To grow brand engagement. • Build a stronger connection with our audience. • To drive website traffic through social media engagemen
AI-Based Detection of Optical Microscopic Images of Pseudomonas aeruginosa in Planktonic and Biofilm States
No full textBiofilms are resistant microbial cell aggregates that pose risks to the health and food industries and produce environmental contamination. The accurate and efficient detection and prevention of biofilms are challenging and demand interdisciplinary approaches. This multidisciplinary research reports the application of a deep learning-based artificial intelligence (AI) model for detecting biofilms produced by Pseudomonas aeruginosa with high accuracy. Aptamer DNA-templated silver nanocluster (Ag-NC) was used to prevent biofilm formation, which produced images of the planktonic states of the bacteria. Large-volume bright-field images of bacterial biofilms were used to design the AI model. In particular, we used U-Net with ResNet encoder enhancement to segment biofilm images for AI analysis. Different degrees of biofilm structures can be efficiently detected using ResNet18 and ResNet34 backbones. The potential applications of this technique are also discussed
LIDAR-BASED DELINEATION OF KARST FEATURES IN THE GYPSUM PLAIN, EDDY COUNTY, NEW MEXICO AND CULBERSON COUNTY, TEXAS
No full textThe Gypsum Plain of the Delaware Basin encompasses approximately 1,800 km2 of massive to laminated gypsum (anhydrite in the subsurface) outcrop of early Ochoan Castile and Salado strata. These extensive Permian-age evaporites host significant karst phenomena as a result of the region\u27s complex hydrogeologic system which has continuously evolved since the early Paleogene. Karst features that manifest surficially as sinkholes when breached range from extensive hypogene cave systems to epigene features and suffosion caves. In contrast, paleo-collapse structures forming breccia pipes attesting to more ancient karst within these strata often manifest as topographic highs across the Gypsum Plain.
Until recently, the lack of accessible, high-resolution LiDAR (Light Detection and Ranging) data has restricted karst studies on the distribution and speleogenetic evolution of the entire Gypsum Plain to imagery analyses. In this study, high-resolution (70-centimeter accuracy) LiDAR data analyses were used to assess the spatial extent of major surficial karst manifestations through constructed Digital Elevation Models (DEMs). DEM analyses were used to delineate sinkhole features, while sinkhole morphometrics analyses was used to infer origins; high sphericity suggests collapse origins and low sphericity suggests solutional incision origins. After GIS-based verification, spatial sinkhole analyses were refined to produce a spatial density map of surficial karst manifestations across the Gypsum Plain. This includes the delineation of regions dominated by hypogene or epigene karst origins, as inferred from sinkhole morphometric analyses
Differences in Performance in Mental Rotation and Short-Term Free Recall in Gender Minorities
No full textThe study examined mental rotation, short-term free recall, state anxiety, and gender expression through masculinity and femininity. This study addressed gaps in literature examining gender differences in gender minority groups by investigating gender differences in two tasks: mental rotation and short-term recall. Participants are categorized into four gender groups: cisgender men, cisgender women, non-binary, and binary transgender. In accordance with previous literature, it was hypothesized that men would outperform women in mental rotation, women would outperform men in short-term free recall performance, and that non-binary individuals would operate separately from other groups. Anxiety was recorded as a possible covariate, but analyses did not support covariation. Transgender binary and non-binary groups outperformed men and women in mental rotation and short-term free recall, but binary transgender and non-binary individuals were not different in their performance. Mental rotation accuracy and masculinity scores were more effective in separating groups in follow-up analyses