The Moral Economy of the Networked Financial Subject: Cultures of “Wealth-tech” (Financial Self-help) and Moneymaking in South Korea
Bibliographic record
Abstract
This dissertation describes the synthesis, characterization, and investigation of novel zwitterionic polymers containing phosphorylcholine (PC), sulfobetaine (SB), and functional choline phosphate (CP) zwitterions for use as surfactants, self-assembled nanomaterials, and therapeutics. Facile, reproducible, and modular chemistries were utilized for incorporating zwitterions into a range of polymer backbones, and strategies were developed for overcoming difficult challenges encountered in zwitterionic polymer synthesis, especially related to the varying solubility of zwitterions, hydrophobic polymers, and functional comonomers. Synthetic strategies utilized in this work give access to well-defined materials with narrow molecular weight distributions, tunable compositions and architectures, and versatile chemical functionality. Chapter 2 describes the synthesis of water-soluble PC- and SB-functionalized siloxane polymers. PC- and SB-siloxane homopolymers and block copolymers were synthesized using thiol-ene ‘click’ chemistry, and their assembly in water and at oil-water interfaces was investigated. Chapter 3 describes the preparation of zwitterionic block copolymer analogues of commercial Pluronic® surfactants. PC-containing triblock copolymers were prepared with tunable zwitterion content (5-47 mole percent) and relatively narrow molecular weight distributions. These block copolymer amphiphiles readily formed nanoparticles in water and served as novel surfactants. Through the copolymerization of PC- and CP-methacrylate monomers, functional mimics of conventional Pluronic structures became amenable to crosslinking and the successful synthesis of nanomaterials and robust gels. Chapter 4 presents the in vivo evaluation of poly(2-methacryloyloxyethyl phosphorylcholine)-doxorubicin (polyMPC-Dox) prodrugs for treating human ovarian tumors (SKOV-3). In human ovarian tumor-bearing mice, polyMPC-Dox prodrugs with an approximate Dox loading of 19 weight percent accumulated in tumor tissue at twice the level of free Dox, and animals treated with polyMPC-Dox exhibited enhanced survival and retarded tumor growth compared to conventional Dox treatment. Finally, Chapter 5 augments the polyMPC prodrug concept with the development of polymer-temozolomide (TMZ) conjugates intended for glioblastoma treatment. PolyMPC-TMZ prodrugs were prepared by the controlled free radical copolymerization of MPC and novel TMZ-methacrylate monomers, affording copolymers with random and block architectures. Polymer conjugation significantly improved the solution stability of TMZ, and the antitumor activity of polyMPC-TMZ prodrugs was demonstrated in TMZ-sensitive (U87MG) and TMZ-resistant (T98G) glioblastoma cell lines. The impact of drug loading, polymer architecture, and adjuvant co-delivery on the cytotoxicity of polyMPC-TMZ conjugates was investigated.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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".