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Record W28918505 · doi:10.1007/s11010-017-3192-9

Nonmarket Source of American Entrepreneurial Capitalism: Entrepreneurial-Philanthropy Nexus

2008· article· en· W28918505 on OpenAlexfundno aff
Sameeksha Desai

Bibliographic record

VenueMolecular and Cellular Biochemistry · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicElite Sociology and Global Capitalism
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNonmarket forcesCapitalismNexus (standard)EntrepreneurshipEconomicsPolitical scienceMarket economyPoliticsFinanceFactor marketLawEngineering

Abstract

fetched live from OpenAlex

Ground squirrel torpor during winter hibernation is characterized by numerous physiological and biochemical changes, including alterations to fuel metabolism. During torpor, many tissues switch from carbohydrate to lipid catabolism, often by regulating key enzymes within glycolytic and lipolytic pathways. This study investigates the potential regulation of pyruvate kinase (PK), a key member of the glycolytic pathway, within the skeletal muscle of hibernating ground squirrels. PK was purified from the skeletal muscle of control and torpid Richardson's ground squirrels, and PK kinetics, structural stability, and posttranslational modifications were subsequently assessed. Torpid PK displayed a nearly threefold increase in K <sub>m</sub> PEP as compared to control PK when assayed at 5 °C. ProQ Diamond phosphoprotein staining as well as phospho-specific western blots indicated that torpid PK was significantly more phosphorylated than the euthermic control. PK from the torpid condition was also shown to possess nearly twofold acetyl content as compared to control PK. In conclusion, skeletal muscle PK from the Richardson's ground squirrel may be regulated posttranslationally between the euthermic and torpid states, and this may inhibit PK functioning during torpor in accordance with the decrease in glycolytic rate during dormancy.

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 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 score0.035
Threshold uncertainty score0.864

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 studies0.0000.002
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 head0.006
GPT teacher head0.235
Teacher spread0.229 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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