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Effects of Lead Acetate on Morphology of Musca domestica L. (Muscidae: Dipptera)

2012· article· en· W2317668348 on OpenAlexvenueno aff
Rizwanul Haq, M. Farhan Ullah Khan, Ehtesham Ul Haq

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMuscaLead acetateMuscidaeNuisancePollutantLarvaPupaToxicologyBiologyMorphology (biology)ChemistryAnimal scienceZoologyToxicityEcology

Abstract

fetched live from OpenAlex

Lead is significant environmental pollutant which contaminates food, soil, water, and air. Insects too are influenced easily by such pollutants, therefore present study have been designed to study the influence of lead (as lead acetate) on external morphology of Musca domestica. The different concentrations of lead acetate, i.e., 0.25 mg., 0.5 mg, and 01 mg per ml in diet of Musca domestica, were added ad effects were observed after 48 hours. Results revealed that in addition to abnormalities and malformation the larvae, morphological changes in adults were observed such as elongated and de-shaped wings and elongated and folded legs. Some other structural abnormalities of larvae and pupal shape were also observed (tell briefly what were those changes. Thus the Diptera flies present a useful model for the rapid screening of the environmental hazards due to lead contamination, which exerts a definite physiological and morphological effect on these flies.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
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 communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.245
Teacher spread0.227 · 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 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
Published2012
Admission routes1
Has abstractyes

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