Two Albanian Mosques: the acoustics discovery inside prayer rooms
Bibliographic record
Abstract
The first mosque was built by Prophet Mohammad in 7thcentury. In Muslim society, mosques are important buildings erected with regular plants. The walls are plastered or finished with mosaics, the floor is carpeted; often, they are provided with a dome and side niches. The main activities are praying and listening to speech and, for these reasons, speech understanding is of paramount importance. This paper deals with the acoustic characteristics of two mosques in Albania. These buildings have a squared plan layout surmounted by a dome at the center of the space. Acoustic measurements were undertaken in line with the methodology explained by ISO 3382-1 standard. The monaural parameters T30, EDT, $C_{80}, D_{50}$, and STI were analyzed accordingly. One of the mosques is located in Tirana and was built in 1550; it has a volume of 1000 m3. This mosque showed a T30of 2.0 s and an STI of 0.5. The other mosque is located in Shkoder; it was built in 1750 and has a volume of 1300 m3. This latest mosque showed a T30of 2.3 s and a STI of 0.5. After comparing the acoustics of these two mosques, some solutions to improve their acoustics are suggested.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".