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Record W2925782254 · doi:10.11159/iceptp19.116

Selenium removal using a bacteria cultured reactor packed with alumimpregnated activated alumina

2019· article· en· W2925782254 on OpenAlexvenueno aff
Yuxia Ji, Yi‐Tin Wang

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2019
Typearticle
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsnot available
Fundersnot available
KeywordsBacteriaSeleniumPacked bedChemistryChemical engineeringMaterials scienceWaste managementChromatographyMetallurgyBiologyEngineering

Abstract

fetched live from OpenAlex

Selenium is a primary pollutant that brings a number of threats to the aquatic lives as well as human beings. Bacterial selenium reduction was observed as an effective way for selenium remediation. However, Se(IV) accumulation may occur during Se(VI) reduction due to the slow reduction rate of Se(IV). In this study, an alum-impregnated activated alumina packed bioreactor cultured with Shigella fergusonii strain TB42616 was applied in order to remove Se(IV) during Se(VI) reduction. Approximately 70% selenium was removed under an hydraulic retention time of 3.1 days with no Se(IV) accumulation observed, indicating that Se(IV) removal was enhanced by the adsorption of the alum-impregnated activated alumina. A 10% more selenium removal was also observed by employing alum-impregnated activated alumina instead of unmodified ones.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score1.000

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)0.0000.000

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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

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