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Record W2168908113 · doi:10.3329/jbas.v36i1.10919

Background Chemical Study of Relocated Hazaribagh Tannery Complex Environment, Savar

2012· article· en· W2168908113 on OpenAlexaff
YN Jolly, TR Choudhury, Ashraful Islam, NI Suravi, Ms. Khanam Nargis Sultana

Bibliographic record

VenueJournal of Bangladesh Academy of Sciences · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicChromium effects and bioremediation
Canadian institutionsAtomic Energy (Canada)
Fundersnot available
KeywordsShrimpEnvironmental chemistrySedimentAnimal scienceChemistryNuclear chemistryMineralogyGeologyBiologyFishery

Abstract

fetched live from OpenAlex

A background study of the chemical constituents of some environmental samples - tannery complex sand, river water, river sediment and river fishes collected from the Relocated Hazaribagh Tannery Complex (RHTC) area, was carried out. In sand samples the mean values for pH, EC and soluble salts were found to be 8.49, 0.02 mS/cm and 11.72 mg/kg and the mean concentrations of elements K, Ca, Ti, Mn, Fe, Co, Zn, As, Pb, Rb and Sr were 94.8, 68.5, 16.6, 2.68, 129, 1.19, 0.23, 0.70, 0.32, 0.62 and 1.03 mg/kg, respectively. In river water samples the average concentrations of K, Ca, Mn, Fe, Zn, As, Rb, Sr, SO 4 -2, PO4 -3, Cl-1 and NO3 -1 were 13.09, 178, 0.41, 1.82, 0.073, 0.031, 0.010, 0.48, 0.057, 0.019, 15.6, 5.68 mg/l and the average values for pH, EC, DO, BOD, SS and DS were 8.02 and 0.35 mS/cm, 6.29, 4.21, 0.06, 0.36 mg/l, respectively. The elements K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Zn, As, Rb, Sr and Pb were measured in river sediment samples at the limit of 205, 155, 67, 6.02, 17.2, 798, 1.10, 1.24, 1.99, 0.31, 2.34, 2.63 and 0.35 mg/kg, respectively. In some locally available fishes like tengra, puti, baim, taki, shrimp, chanda and baila, only the elements K, Ca, Fe, Zn, Rb and Sr could be measured in all species of fishes in the range of 0.39 - 1.01, 0.68 - 2.29, 60.6 - 125, 46.3 - 174, 2.84 - 61.8 and 12.3 - 38.0% in mg/kg, respectively. In the light of the overall study, the chemical constituent levels of the environmental samples of the RHTC area at present are low and the environment is not yet contaminated. DOI: http://dx.doi.org/10.3329/jbas.v36i1.10919Journal of Bangladesh Academy of Sciences, Vol. 36, No. 1, 45-51, 2012

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.052
GPT teacher head0.292
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2012
Admission routes1
Has abstractyes

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