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Record W2968136844

Physiological basis of aerobic capacity and workload ability in birds

2018· dissertation· en· W2968136844 on OpenAlexfundno aff
Kang Nian Yap

Bibliographic record

VenueSummit (Simon Fraser University) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicPhysiological and biochemical adaptations
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWorkloadAerobic capacityBasis (linear algebra)Computer scienceMedicineMathematicsPhysical therapyOperating system
DOInot available

Abstract

fetched live from OpenAlex

Many behaviours exhibited by free-living animals that are crucial for survival and reproduction involve elevated levels of activity or "workload".Individuals with higher workload ability should be able to cope with the high metabolic demands imposed by these behaviours better and consequently would have higher fitness.High workload could also result in costs such as impaired reproduction or reduced survival.However, the underlying physiological mechanisms that allow individuals to have higher workload ability, and the mechanisms underlying costs of high workload remain poorly understood.This thesis took an exercise perspective and investigated the physiological basis of aerobic capacity and workload ability in birds, using both a comparative, phylogenetic approach, as well as various laboratory-based experimental approaches.In surveying the literature, we identified several potential common physiological markers underlying individual variation in exercise performance and costs of exercise.We also found that hematological traits co-vary with life-history variables, and to a certain extent, energy metabolism in birds at the interspecific level.Additionally, we provided experimental evidence for physiological responses to flight at high attitude and showed that the relationship between hematocrit and flight performance is dependent on altitude.Lastly, we provided experimental evidence for behavioural and physiological adjustments to high workload and demonstrated that physiological adjustments to high workload can negatively impact reproduction.Taken together, this thesis uncovered several physiological mechanisms underlying workload ability and costs of high workload in birds.Future work should consider and integrate multiple physiological systems when studying the physiological basis of workload ability, and more generally, life-history trade-offs in animals.Ultimately, we hope that the knowledge we gain from this thesis can be used to complement studies in free living animals and aid in the design of field experiments.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
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 head0.208
Teacher spread0.191 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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