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Analysis of the experimental ballast water treatment system

2021· article· en· W3214302778 on OpenAlexaboutno aff
N.B. Tiron-Vorobiova, Anatoliy Danylyan

Bibliographic record

VenueTechnology audit and production reserves · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Ecology and Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsBallastUkrainianCompetition (biology)CertificationBusinessEngineeringInvestment (military)Engineering managementPolitical scienceManagementEconomics

Abstract

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The object of research is the experimentally created model of the accompanying ballast water treatment systems (BWTS) at the Danube Institute of the National University «Odessa Maritime Academy». (Izmail, Odessa region, Ukraine). The study is aimed at assessing the compliance of ballast water quality standard D-2 ballast water operational cycles by disinfection and purification. One of the most problematic places of the presented research is the renewal (acquisition) of a separate node segmentation of the experimental BWTS with attraction of certain material support (investment). In particular, it is the scaling of BWTS, presentation in the state market of Ukraine, abroad (competition), qualitative assessment, certification at the level of the Ukrainian Sea Ports Administration (USPA), the register of maritime shipping. Elimination of the above «problem-tasks» will contribute to the collective research support, opinion and effective steps of professionals-researchers, in particular, in the maritime industry (experts IMO – International Maritime Organization, professors, academicians TAS – Transport Academy of Sciences). Also, compatible contribution of significant research results to separately oriented projects (European, Ukrainian) with attraction of investors, mentors, maritime industry business. The research used modern practices of design of such accompanying BWTS, referring to innovative methods, methodologies of global production of such structures of famous world brands, for example, Alfa Laval, Wartsila, OceanSaver, Hyde Marine, Industrie de Nora, etc. Researchers have qualitatively and consistently studied the generally accepted series of technological processes for ballast water treatment, observing classical according to the analytical review of literature sources and in the modern coverage (state) of similar stages of ballast water decontamination/cleaning. Qualitative expression of the received result is a number of conducted researches of disinfection/purification of sea outboard water in laboratory conditions on experimental BWTS. Thanks to the latter the reliability of the presented data is provided, which coincide (are identical) with trustworthy, established by the BW quality standard D-2, that are specified in discussion and conclusion of the given work.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.212
Teacher spread0.203 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

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