Illinois Mathematics and Science Academy
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Family Reading Night 2025
No full texthttps://digitalcommons.imsa.edu/frn_images_2025/1024/thumbnail.jp
Family Reading night 2025
No full texthttps://digitalcommons.imsa.edu/frn_images_2025/1008/thumbnail.jp
Teaching with a Full Deck: Card Activities in Mathematics
Get PDFCard sorts encourage students to do what we value most: talk and reason. Beyond simple matching, card sorts allow students to classify, rank, sequence, and map out ideas, creating a natural context for critical thinking and discussion. Join me for a series of math-focused card sorts where students will engage in activities like sorting equations by type, sequencing steps for solving multi-step problems, analyzing characteristics of graphs, and collaborating to solve clothesline math problems. This easy-to-prep tool will help students deepen their understanding of math concepts, fostering algebraic reasoning, graph analysis, and collaborative problem-solving skills
(VIRTUAL) Radians: Units are Important and Why the unit circle is not
Get PDFHave you ever wondered why we have radians as a unit of measure for angles? Aren\u27t degrees good enough? I like them. After all, a right angle is a nice, round 90degrees – so why complicate things? While degrees are useful, radians bring a unique significance. Units matter, even in the world of mathematics
Medicine in Chemistry
Get PDFIn this session, participants analyze medicines through simple chemical tests that reveal characteristics like solubility and reactivity. Observing reactions, such as color changes, helps participants understand how basic chemical principles are used to distinguish between different compounds. These activities build practical skills for applying chemistry in contexts like quality control and forensic analysis
Robustness and Reliability of Boosted Decision Tree Signal Classification for Model- Independent Analysis of Dark Photon Production
No full textThe ongoing search for the dark photon conducted under the IMSA-CMS research collaboration relies on a boosted decision tree (BDT) for signal classification. BDT robustness is necessary to ensure an unbiased and model-independent search. We analyze the performance of a boosted decision tree classifier against empirical data collected by the CMS Experiment at the Large Hadron Collider and simulated data generated through Monte Carlo generation. This includes an efficiency study designed to select optimal training parameters, a cross-validation study that evaluated our BDT against several theoretical dark photon models, a study of BDT input variable consistency in reconstructed lepton jets, and detailed model selection from several promising BDT architectures. Moreover, we introduce a novel training methodology known as Cross-Sectional Adaptive Transfer Learning (CATL) that uses event cross-sections during training to assign weights that prioritize background categories with larger event yields. Based on the principles of transfer learning, CATL outperforms standard BDTs on signal efficiency while still achieving modest improvements in background rejection
Enhancing Perinatal Care Support to Improve Maternal Mortality Disparities – Well-Mama Community Doula Navigator Intervention
No full textEnhancing Doula Care Support for BIPOC birthing persons Within healthcare, Black, Indigenous, and People of Color (BIPOC) experience significant maternal health disparities in the United States, including rising rates of maternal mortality and severe maternal morbidity. The Well-Mama research study involves integrating Community Doula Navigators (CDN) into perinatal care through telehealth check-ins, support groups, and labor support. The study prioritizes 5 major areas when engaging with the birthing persons including mental health, cardiovascular health, maternal safety, substance and alcohol usage, and social support. This project comprises studying and analyzing non-identified data to investigate potential correlations between CDN support, Mode of Delivery, Labor Type (In- Person vs. Virtual), Presence of Support, and much more. We also explore study adherence of bi-weekly CDN check-ins and perinatal support group attendance. The data is analyzed using quantitative methods, enhancing an understanding of how the proportion of perinatal care received can affect maternal health outcomes. Participant data is still being collected so no causality can be drawn from this analysis