Hierarchical modularization and dual-domain formation for product adaptability
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
Product adaptability is the capability to adjust a product by adding/replacing its constitu-ents for different applications. To acquire this capability, a product should be a modular structure that can form different modular combinations. The purpose of this thesis is pro-posing a design method to develop such products. The method includes the following characteristics: a product essentially implements its applications by providing proper ac-tions/reactions to interact with its surrounding conditions; such actions/reactions can be used to develop the subsystems of a product by building energy-flow or force-path con-nections; optional modules can be separated from the subsystems that contain optional applications; all modules are arranged as an open architecture to provide space and inter-face for each optional module; and each module is endued with the principal content of actions/reactions, inside energy flows or force paths, space, and interfaces constraints, so that it can be physically formed through a dual-domain formation process. Following this method, a multi-purpose electric vehicle (MEV) is developed. Adaptability Efficacy (AE) is proposed to evaluate the effectiveness of the proposed method.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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