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Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models
No full textMathematical modelling applied to preclinical, clinical, and public health research is critical for our understanding of a multitude of biological principles. Biology is fundamentally heterogeneous, and mathematical modelling must meet the challenge of variability head on to ensure the principles of diversity, equity, and inclusion (DEI) are integrated into quantitative analyses. Here we provide a follow-up perspective on the DEI plenary session held at the 2023 Society for Mathematical Biology Annual Meeting to discuss key issues for the increased integration of DEI in mathematical modelling in biology
Cosmological shocks around galaxy clusters: a coherent investigation with DES, SPT, and ACT
No full textThe Atacama Cosmology Telescope: Mitigating the Impact of Extragalactic Foregrounds for the DR6 Cosmic Microwave Background Lensing Analysis
No full textQuantitative Analysis in Sociology: OER Syllabus
Get PDFThe objective of this OER syllabus is to provide a no-cost open access course that introduces students to the use of quantitative data in sociology. The material covered in the syllabus examines statistical methods used to analyze data. Statistics textbooks tend to be expensive, yet examine topics that have not changed much in the past few decades. Consequently, this course relies on the discussion of statistical topics from online sources
Development of a universal method for vibrational analysis of the terminal alkyne C≡C stretch
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