Development of a Device to Pulping Fruits of Bocaiuva (Acrocomia aculeate sp.): Intended for the Communities that Practice Sustainable Agriculture or Strativism
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
Bocaiuva (Acrocomia aculeata) fruit pulp has high potential for food, pharmaceutical and cosmetic applications and in the biofuel industry, however, the main hindrance for these applications is the availability of pulp in sufficient quantity. The pulp of this fruit is usually supplied by rural communities where the processors use manual pulping, which is not only time-consuming but yields product of low quality. Therefore, the objective of this work was to design, fabricate and evaluate the efficiency of an experimental bench device for pulping bocaiuva fruits. The bench device was designed to be compact and easy to operate, consisting of three units (processing, secondary, and peripheral) with intermittent operation and pulping performed by shearing. The performance evaluation of the machine was carried out with fruit dehydrated at 70 ºC and different times of dehydration (6, 12 and 24 hours). The pulp weight was evaluated every 15 seconds during the pulping process period (150 seconds). The highest pulping efficiency (96%) was obtained with fruits that were dehydrated for 24 hours, with a 120-second pulping, which resulted in a production rate of 5.5 kg h-1 This high efficiency makes this mechanized prototype effective for pulping bocaiuva fruits and, thus, it can replace manual pulping, especially in rural communities involved with the bocaiuva production chain.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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