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Mgrre_Thinsections_Mgrre-138_83, Mgrre

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Mgrre_Thinsections_Mgrre-138_97, Mgrre

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Mgrre_Thinsections_Mgrre-139_7, Mgrre

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Mgrre_Thinsections_Mgrre-139_28, Mgrre

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Mgrre_Thinsections_Mgrre-139_33, Mgrre

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Mgrre_Thinsections_Mgrre-139_34, Mgrre

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Mgrre_Thinsections_Mgrre-139_83, Mgrre

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Mgrre_Thinsections_Mgrre-139_84, Mgrre

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Mgrre_Thinsections_Mgrre-139_90, Mgrre

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Mgrre_Thinsections_Mgrre-139_91, Mgrre

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Mgrre_Thinsections_Mgrre-139_99, Mgrre

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Mgrre_Thinsections_Mgrre-139_11, Mgrre

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Mgrre_Thinsections_Mgrre-139_25, Mgrre

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Mgrre_Thinsections_Mgrre-139_27, Mgrre

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Mgrre_Thinsections_Mgrre-139_36, Mgrre

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Mgrre_Thinsections_Mgrre-139_73, Mgrre

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Mgrre_Thinsections_Mgrre-139_86, Mgrre

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Mgrre_Thinsections_Mgrre-139_90, Mgrre

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Extension Of The Local Vibrational Mode Theory To Periodic Systems, Filippo Bodo

Chemistry Theses and Dissertations

Over the years, vibrational spectroscopy was used to gain a deeper understanding of the electronic structure and the chemical bond in both molecular and periodic systems. In this framework, the Local Vibrational Mode Theory (LVMT), as first introduced by Konkoli and Cremer in 1998, provides a unique tool to quantify the strength of a chemical bond, and better interpret the molecular vibrational spectra, thanks to the adiabatic force constants ($k^a$) and the composition of normal modes (CNM). While LVMT was originally developed for molecular systems, its application to periodic solids has remained limited. This thesis presents a complete and systematic …

Exploring Rural Educator's Perceptions Of Educational Accountability Measures In Alabama, Steven Sims Ii

College of Education

This qualitative study will examine rural stakeholders' perceptions of the educational accountability measures implemented by the state of Alabama, including Alabama’s adoption of mandatory retention laws, specifically the Alabama Numeracy and Literacy Act, accountability tests such as the Alabama Comprehensive Assessment Program (ACAP), the ACT, and the College and Career Readiness Standards (CCRS), as well as how these initiatives impact the process of identifying and labeling schools as failing. This research explores stakeholders' perceptions of the efficacy of these policies. Through semi-structured interviews with 21 educators (20 teachers and one principal) from rural Black Belt schools, the study aims to …

Vision 2033, Illinois Math And Science Academy

Vision 2033

In its unwavering pursuit of both excellence and equity, IMSA offers STEM-loving Illinois students from every socioeconomic background tuition-free educational offerings and opportunities they can’t find elsewhere in the state. Its world-class cadre of faculty and administrators and extensive range of STEM classes and research experiences transcend disciplinary boundaries.

The IMSA experience also distinguishes itself through its unparalleled network of students, alumni, and partners dedicated to progress in STEM and united to help such trailblazing students fulfill their academic and career potential. Whether in class with an instructor, in the residence hall under the guidance of a resident counselor, or …

New Avenues For |Δb=2| Processes Beyond Neutron-Antineutron Oscillations, Arnau Basi Beneito, Svjetlana Fajfer, Alexey A. Petrov

Faculty Publications

We explore baryon-number-violating (|∆B| = 2) processes beyond the well-known neutron-antineutron (n-n̄) oscillations, focusing on the Λ-Λ̄ system. The presence of a strange quark in the Λ baryon introduces a new set of six-quark operators roughly of the form (uds)², which are different from the (udd)² operators responsible for n-n̄ oscillations. Using the Standard Model Effective Field Theory (SMEFT), we classify all dimension-9 operators that cause |∆B| = 2  transitions and study their UV completions mediated by exotic scalar fields with trilinear interactions. We demonstrate that …

Associational Inference With Many Potential Covariates: Bayesian Information Criterion Elastic Net, Farideh Bagherzadeh Khiabani, I-Chan Huang, Jose Miguel Martinez Martinez, Shizue Izumi, Sedigheh Mirzaei, Tiange Zheng, Irina Dinu, Yutaka Yasui

COBRA Preprint Series

Background: An emerging feature in modern biomedical research is collecting and analyzing numerous variables. In the presence of many potential covariates, inference becomes challenging requiring both distinguishing a set of covariates truly associated with an outcome and estimating their corresponding regression coefficients consistently. Traditional statistical inference typically focuses on estimating coefficients assuming a pre-specified set of covariates. Further, advanced machine/statistical learning methods performing both selection and estimation predominantly focus on outcome prediction rather than association inference.

Methods: Motivated by our epidemiological research on long-term childhood cancer survivors, where we aimed to investigate associations between a large pool of longitudinal symptom …

Mgrre_Thinsections_Mgrre-138_36, Mgrre

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Mgrre_Thinsections_Mgrre-138_45, Mgrre

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Mgrre_Thinsections_Mgrre-139_12, Mgrre

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Mgrre_Thinsections_Mgrre-139_53, Mgrre

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