Two Albanian Mosques: the acoustics discovery inside prayer rooms
Why this work is in the frame
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Bibliographic record
Abstract
The first mosque was built by Prophet Mohammad in 7 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> century. 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 T <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">30</inf> , 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 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> . This mosque showed a T <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">30</inf> of 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 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> . This latest mosque showed a T <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">30</inf> of 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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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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