Synthesis & HyperCEST Testing of CTV Derivatives: A Bowl Shaped Compound That Encapsulates Xenon
Bibliographic record
Abstract
The primary focus of this dissertation is the synthesis and testing of cyclotriveratrylenes (CTV) as potential biomedical molecular imaging contrast agents. CTVs are bowl shaped molecules that have a hydrophobic pocket capable of reversibly binding Xenon-129 (129Xe) gas, a spin ½ noble gas, which is diamagnetic and produces a signal when a strong magnetic field is applied to it. These CTVs then create two pools of 129Xe which produce distinct signals in an NMR scan. The creation of the two pools of 129Xe is necessary for the application of an imaging technique named HyperCEST, Hyperpolarized Chemical Exchange Saturation Transfer, which increases the sensitivity of the scan by up to 10,000 times. The ease of synthesis for the CTV as well as its ability to be conjugated to biochemical ligands should expedite the synthesis of targeted 129Xe biosensors. The last chapter deals with, Process oriented guided inquiry learning (POGIL), which is a pedagogical method that has demonstrated improvement in student performance, increases in attendance, and decreases in failing grades and withdrawals. A three-year study was conducted where attendance was mandatory for all students across both the POGIL and traditional lecture formats to measure the effect of POGIL. There was a decrease in the standard deviation of exam grades in the POGIL lecture sections however there was no statistically significant change in grades received by the students. This is in keeping with previous studies that have found a decrease in grades of D, F, and W’s.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".