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Record W26619914 · doi:10.1016/j.jcjd.2015.08.016

Conflict Management Styles in Romantic Relationships between Chinese and American Students: Exploring the Role of Cultural Individualism-Collectivism and Self-Construal

2012· article· en· W26619914 on OpenAlexvenueno aff
Wuyu Liu

Bibliographic record

VenueCanadian Journal of Diabetes · 2012
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
FundersKermanshah University of Medical Sciences
KeywordsCollectivismPsychologySocial psychologyIndividualismInterdependenceSituational ethicsCultural diversityHofstede's cultural dimensions theorySelf construalSociologyPolitical science

Abstract

fetched live from OpenAlex

The role of the renin angiotensin aldosterone system (RAAS) and the gene variants of its components in susceptibility to diabetic nephropathy (DN) have been investigated in numerous studies. The effects of some RAAS gene variants, including angiotensin converting enzyme (ACE), angiotensinogen (AGT) and angiotensin II type 1 receptor (AT1R), on the risk for DN have been studied more extensively, but there has been controversy. The reasons for controversy in this field could be attributed to the effect of ethnicity, gender, stage of diabetes complications, the presence of intrarenal RAAS, methodologic limitations of the association studies in multifactorial diseases, inadequate sample size, genetic heterogeneity, and the lack of studies that involved all RAAS genes and their interactions. This review looks at the current available information about the role of all RAAS gene variants in the pathogenesis of DN. Further, the concomitant study of both systemic and local RAAS, counter-regulators of ACE and ACE2, and also AT1R and angiotensin II type 2 receptor (AT2R) genes could help to elucidate the role of the genes of this system in the pathogenesis of DN.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.280

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 studies0.0000.000
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 head0.066
GPT teacher head0.319
Teacher spread0.252 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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