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Record W4394675436 · doi:10.1139/cjz-2023-0176

The impact of noise on the stress response of <i>Portunus trituberculatus</i> in a land-based monoculture system

2024· article· en· W4394675436 on OpenAlexvenueno aff
Nida Imtiaz, Jiechi Wang, Ce Shi, Khor Waiho, Ronghua Li, Mu Changkao, Wang Chunlin, Qingyang Wu

Bibliographic record

VenueCanadian Journal of Zoology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsnot available
FundersNatural Science Foundation of Ningbo
KeywordsPortunus trituberculatusBiologyMonocultureFisheryEcology

Abstract

fetched live from OpenAlex

Human-induced noise, particularly from shipping and construction, significantly affects the stress responses of swimming crabs ( Portunus trituberculatus (Miers, 1876)). Prolonged exposure can lead to stress responses, impacting the overall health of the crabs. This study aimed to assess how noise affects stress responses in P. trituberculatus. The sound had an intensity of 163 dB 1 µPa for the noise condition and 114 dB 1 µPa for ambient sound. Portunus trituberculatus was continuously exposed to the noise stimulus for 6 h. Samples of serum, muscle tissue, gills, and hepatopancreas were collected at multiple time points: 0 min, 10 min, 30 min, 1 h, 3 h, 6 h, and 7 h. The serum cortisol levels in the noise-exposed group were significantly higher than those in the control group at 30 min and 6 h. The two groups had no significant differences regarding serum glucose and muscle lactic acid content. In the noise-exposed group, the gills exhibited significantly lower superoxide dismutase (SOD) levels. Conversely, for the hepatopancreas, the SOD levels in the noise-exposed group were notably lower than those in the control group at 10 min but significantly higher at 6 and 7 h. Malondialdehyde (MDA) levels were substantially higher in the noise-exposed group than in the control group at 30 min and 6 h. This study demonstrates that P. trituberculatus experiences a physiological stress response to acoustic sounds.

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)0.001
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 score0.558
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.276
Teacher spread0.259 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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