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Ventilation of enclosed life-boats

2025· article· en· W4413370592 on OpenAlexaboutno aff
Vladimir Nikolaevich Motrich

Bibliographic record

VenueVESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MARINE ENGINEERING AND TECHNOLOGIES · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsVentilation (architecture)Environmental scienceMarine engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

The reason for the adoption of the International SOLAS Convention, which for the first time established the basic principles of equipping ships with life-saving equipment, was the Titanic disaster in the North Atlantic. Since then, this convention has continued to be improved from accident to accident, and the International Code of Spa Products (LSA Code) has been developed. The lessons of the death of the ocean container ship MOL Comfort on June 17, 2013 in the Indian Ocean became the catalyst for a number of important changes in safety regulations. The crew had to survive in stale air conditions inside a closed lifeboat in stormy weather in tropical waters. But the solution to the problem of ventilation of the boats was delayed for a whole decade. Scientific studies of the microclimate of enclosed rescue vehicles and methods for solving the problem of ventilation in them are considered. The issues of human survival at sea are investigated, experiments conducted in Germany, China, and Canada are described, a mathematical model of air exchange that ensures vital processes in the body is presented, and the requirements for ventilation of fully enclosed life-boats of the International Code of Life-saving Equipment, which will enter into force on January 01, 2026. In order to select the optimal design of the ventilation system for enclosed life-boats, a comparative analysis of projects proposed by leading manufacturers of rescue equipment was carried out. To ensure the quality of ventilation, it is proposed to apply an increasing coefficient of 1.1 when using the above mathematical model.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.004
GPT teacher head0.174
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueVESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MARINE ENGINEERING AND TECHNOLOGIESSame topicMaterial Properties and ApplicationsFrench-language works237,207