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Costly but worthless gifts facilitate courtship.

ABSTRACT: What are the characteristics of a good courtship gift? We address this question by modelling courtship as a sequential game. This is structured as follows: the male offers a gift to a female; after observing the gift, the female decides whether or not to accept it; she then chooses whether or not to mate with the male. In one version of the game, based on human courtship, the female is uncertain about whether the male intends to stay or desert after mating. In a second version, there is no paternal care but the female is uncertain about the male's quality. The two versions of the game are shown to be mathematically equivalent. We find robust equilibrium solutions in which mating is predominantly facilitated by an "extravagant" gift which is costly to the male but intrinsically worthless to the female. By being costly to the male, the gift acts as a credible signal of his intentions or quality. At the same time, its lack of intrinsic value to the female serves to deter a "gold-digger", who has no intention of mating with the male, from accepting the gift. In this way, an economically inefficient gift enables mutually suitable partners to be matched.

SUBMITTER: Sozou PD

PROVIDER: S-EPMC1559891 | biostudies-literature | 2005 Sep

REPOSITORIES: biostudies-literature

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Costly but worthless gifts facilitate courtship.

Sozou Peter D PD Seymour Robert M RM

Proceedings. Biological sciences 20050901 1575

What are the characteristics of a good courtship gift? We address this question by modelling courtship as a sequential game. This is structured as follows: the male offers a gift to a female; after observing the gift, the female decides whether or not to accept it; she then chooses whether or not to mate with the male. In one version of the game, based on human courtship, the female is uncertain about whether the male intends to stay or desert after mating. In a second version, there is no pater ...[more]

PMID: 16191592

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Project description:BackgroundGene annotation is a pivotal component in computational genomics, encompassing prediction of gene function, expression analysis, and sequence scrutiny. Hence, quantitative measures of the annotation landscape constitute a pertinent bioinformatics tool. GeneCards is a gene-centric compendium of rich annotative information for over 50,000 human gene entries, building upon 68 data sources, including Gene Ontology (GO), pathways, interactions, phenotypes, publications and many more.ResultsWe present the GeneCards Inferred Functionality Score (GIFtS) which allows a quantitative assessment of a gene's annotation status, by exploiting the unique wealth and diversity of GeneCards information. The GIFtS tool, linked from the GeneCards home page, facilitates browsing the human genome by searching for the annotation level of a specified gene, retrieving a list of genes within a specified range of GIFtS value, obtaining random genes with a specific GIFtS value, and experimenting with the GIFtS weighting algorithm for a variety of annotation categories. The bimodal shape of the GIFtS distribution suggests a division of the human gene repertoire into two main groups: the high-GIFtS peak consists almost entirely of protein-coding genes; the low-GIFtS peak consists of genes from all of the categories. Cluster analysis of GIFtS annotation vectors provides the classification of gene groups by detailed positioning in the annotation arena. GIFtS also provide measures which enable the evaluation of the databases that serve as GeneCards sources. An inverse correlation is found (for GIFtS>25) between the number of genes annotated by each source, and the average GIFtS value of genes associated with that source. Three typical source prototypes are revealed by their GIFtS distribution: genome-wide sources, sources comprising mainly highly annotated genes, and sources comprising mainly poorly annotated genes. The degree of accumulated knowledge for a given gene measured by GIFtS was correlated (for GIFtS>30) with the number of publications for a gene, and with the seniority of this entry in the HGNC database.ConclusionGIFtS can be a valuable tool for computational procedures which analyze lists of large set of genes resulting from wet-lab or computational research. GIFtS may also assist the scientific community with identification of groups of uncharacterized genes for diverse applications, such as delineation of novel functions and charting unexplored areas of the human genome.

Project description:ObjectiveAlthough recent studies have shown that 30-day readmissions following sepsis are common, the overall fiscal impact of these rehospitalizations and their variability between hospitals relative to other high-risk conditions, such as congestive heart failure and acute myocardial infarction, are unknown. The objectives of this study were to characterize the frequency, cost, patient-level risk factors, and hospital-level variation in 30-day readmissions following sepsis compared with congestive heart failure and acute myocardial infarction.DesignA retrospective cohort analysis of hospitalizations from 2009 to 2011.SettingAll acute care, nonfederal hospitals in California.PatientsHospitalizations for sepsis (n = 240,198), congestive heart failure (n = 193,153), and acute myocardial infarction (n = 105,684) identified by administrative discharge codes.InterventionsNone.Measurements and main resultsThe primary outcomes were the frequency and cost of all-cause 30-day readmissions following hospitalization for sepsis compared with congestive heart failure and acute myocardial infarction. Variability in predicted readmission rates between hospitals was calculated using mixed-effects logistic regression analysis. The all-cause 30-day readmission rates were 20.4%, 23.6%, and 17.7% for sepsis, congestive heart failure, and acute myocardial infarction, respectively. The estimated annual costs of 30-day readmissions in the state of California during the study period were $500 million/yr for sepsis, $229 million/yr for congestive heart failure, and $142 million/yr for acute myocardial infarction. The risk- and reliability-adjusted readmission rates across hospitals ranged from 11.0% to 39.8% (median, 19.9%; interquartile range, 16.1-26.0%) for sepsis, 11.3% to 38.4% (median, 22.9%; interquartile range, 19.2-26.6%) for congestive heart failure, and 3.6% to 40.8% (median, 17.0%; interquartile range, 12.2-20.0%) for acute myocardial infarction. Patient-level factors associated with higher odds of 30-day readmission following sepsis included younger age, male gender, Black or Native American race, a higher burden of medical comorbidities, urban residence, and lower income.ConclusionSepsis is a leading contributor to excess healthcare costs due to hospital readmissions. Interventions at clinical and policy levels should prioritize identifying effective strategies to reduce sepsis readmissions.

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Costly but worthless gifts facilitate courtship.

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Costly but worthless gifts facilitate courtship.

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