Three-Dimensional Mathematical Analysis Of The Diffusion Of Reactive Hormone From A Transdermal Drug Patch
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The characteristics of percutaneous absorption have widely emerged as important in medical treatment and pharmacological purposes. Drug patches are an effective tool in medical care and criminal justice systems collecting specific doses of substances in a body through sweating and in delivering prescribed medicine into a body through the skin. This simple method has caused a high user-popularity of drug patches across a wide range of applications. In this study, twoand three-dimensional mathematical modellings of drug patch adhesives on human skin are investigated. As the governing equation, the Helmholtz equation has been solved using the separation of variables method along with the least-squares technique to properly obtain closure for non-homogeneous boundary conditions of the problem. The effects of the important parameters involving the number of terms, the Damkhler number, and the length of the computational domain on the concentration of the mass diffusion and its differential versus the depth of skin, are discussed in-depth for different planes on the skin and skin thickness depth. The results reveal that when the aspect ratio is increased, the twodimensional problem is changed into a one-dimensional problem, particularly when L a.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it