STEM preparation-especially high school math course-taking-is a key predictor of college entrance. Previous research suggests that high school English learners (ELs) not only take fewer advanced math courses but also enroll in college at much lower rates than non-ELs-a group that includes former ELs. In the present study, we alter the analytic lens to examine whether status, i.e., ever being identified for and receiving EL services, moderates the relationship between advanced math and college enrollment. Essentially, do ever-EL students experience the same boost to college enrollment from advanced math as their peers? We employ multilevel models to analyze statewide, longitudinal, administrative K-12 and higher education data to examine how ever-EL status and advanced math-and the interaction between the two-predict high school graduation, college application and enrollment, and level of college attended. Results show that both measures are associated with a greater likelihood of graduating from high school, applying to a four-year college, and enrolling in any college. We also find that ever-EL status moderates the relationship between advanced math and college enrollment, with important implications for students' access to four-year colleges. Ultimately, ever-EL students experience different returns on advanced math relative to never-ELs.
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http://dx.doi.org/10.1080/19313152.2023.2289290 | DOI Listing |
Bull Math Biol
January 2025
Department of Biology, Faculty of Science, Kyushu University, 744 Motooka, Nishi-Ku, Fukuoka, 819-0395, Japan.
Mathematical models of immune responses have traditionally focused on adaptive immunity and pathogen-immune dynamics. However, recent advances in immunology have highlighted the critical role of innate immunity. In response to physical damage or pathogen attacks, innate immune cells circulating throughout the body rapidly migrate from blood vessels and accumulate at the site of injury, triggering inflammation.
View Article and Find Full Text PDFAnal Methods
January 2025
Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Catechins in tea, as promoters of human health, have attracted widespread attention. Herein, a dual-signal mode (colorimetric and fluorescence) sensor array for catechin species fingerprinting was built based on PtNi bunched nanoparticle (PtNi-BNP)--phenylenediamine (OPD)-HO system. PtNi-BNPs catalyze the reaction between OPD and HO to produce oxidized OPD (oxOPD) with both colorimetric (yellow) and fluorescent properties.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
Front Neurol
January 2025
TeleSpecialists, LLC, Fort Myers, FL, United States.
Introduction: Prompt treatment with IV thrombolytics (IVT) in acute ischemic stroke (AIS) patients is critical for improved recovery and survival. Recently, hospital systems have switched to the IVT tenecteplase (TNK) instead of the FDA-approved alteplase (tPA) for treatment. Multiple studies and meta-analyses evaluating the efficacy and safety of TNK demonstrate similar or superior outcomes when compared to tPA.
View Article and Find Full Text PDFR Soc Open Sci
January 2025
Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa 275-8564, Japan.
Corals have been used as geochemical proxies since the 1970s, playing a prominent role in paleoceanography. However, it has not been well elucidated how aqueous ions sourced from seawater are transported and precipitated in coral skeletons. There are limited foundational methods to differentiate and quantify biogenic and abiogenic effects during skeletal formation.
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