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Concept: Academy Award for Best Actress

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A mathematical model is proposed for interpreting the love story between Elizabeth and Darcy portrayed by Jane Austen in the popular novel Pride and Prejudice. The analysis shows that the story is characterized by a sudden explosion of sentimental involvements, revealed by the existence of a saddle-node bifurcation in the model. The paper is interesting not only because it deals for the first time with catastrophic bifurcations in romantic relation-ships, but also because it enriches the list of examples in which love stories are described through ordinary differential equations.

Concepts: Saddle-node bifurcation, Academy Award for Best Actress, Pride and Prejudice, Mathematics, Differential equation, Jane Austen

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The present research examines the extent to which the recognition of creative performance is structured by social group membership. It does this by analysing the award of merit prizes for Best Actor and Actress in a Leading Role for the international award of US-based Oscars and British-based BAFTAs since BAFTA’s inception of this category in 1968. For both awards, the exclusive assessment criterion is the quality of artists' performance in the international arena. Results show that US artists won a greater proportion of Oscars than BAFTAs (odds ratio: 2.10), whereas British artists won a greater proportion of BAFTAs than Oscars (OR: 2.26). Furthermore, results support the hypothesis that these patterns are more pronounced as the diagnostic value of a quality indicator increases - that is, in the conferring of actual awards rather than nominations. Specifically, US artists won a greater proportion of Oscar awards than nominations (OR: 1.77), while British artists won a greater proportion of BAFTA awards than nominations (OR: 1.62). Additional analyses show that the performances of in-group actors in movies portraying in-group culture (US culture in the case of Oscars, British culture in the case of BAFTAs) are more likely to be recognized than the performances of in-group actors in movies portraying the culture of other (out-)groups. These are the first data to provide clear evidence from the field that the recognition of exceptional creative performance is enhanced by shared social identity between perceivers and performers.

Concepts: Kate Winslet, Leonardo DiCaprio, British Academy Film Awards, British Academy of Film and Television Arts, Award, Actor, Academy Award for Best Actress, Academy Award

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Purpose:On 14 May 2013, actress Angelina Jolie disclosed that she had a BRCA1 mutation and underwent a prophylactic bilateral mastectomy. This study documents the impact of her disclosure on information-seeking behavior, specifically that regarding online genetics and risk reduction resources available from the National Cancer Institute.Methods:Using Adobe Analytics, daily page views for 11 resources were tracked from 23 April 2013 through 25 June 2013. Usage data were also obtained for four resources over a 2-year period (2012-2013). Source of referral that viewers used to locate a specific resource was also examined.Results:There was a dramatic and immediate increase in traffic to the National Cancer Institute’s online resources. The Preventive Mastectomy fact sheet received 69,225 page views on May 14, representing a 795-fold increase as compared with the previous Tuesday. A fivefold increase in page views was observed for the PDQ Genetics of Breast and Ovarian Cancer summary in the same time frame. A substantial increase, from 0 to 49%, was seen in referrals from news outlets to four resources from 7 May to 14 May.Conclusion:Celebrity disclosures can dramatically influence online information-seeking behaviors. Efforts to capitalize on these disclosures to ensure easy access to accurate information are warranted.Genet Med advance online publication 23 October 2014Genetics in Medicine (2014); doi:10.1038/gim.2014.141.

Concepts: National Cancer Institute, Academy Award for Best Actress, Cancer, 1940, Mutation, 1984, 1983, Angelina Jolie

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Deep learning is increasingly becoming the focus of various imaging methods in medicine. Due to the large number of different imaging modalities, ophthalmology is particularly suitable for this field of application. This article gives a general overview on the topic of deep learning and its current applications in the field of optical coherence tomography. For the benefit of the reader it focuses on the clinical rather than the technical aspects.

Concepts: Engineering, Academy Award for Best Actress, Academy Award for Best Picture, Medicine, Medical imaging, Kate Winslet, Ophthalmology, Optics

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To determine the most effective pain-control procedure for open liver surgery through a network meta-analysis and provide a best developing direction in this field.

Concepts: Academy Award for Best Actress, Object-oriented programming

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The aim of this review is to give the reader an up-to-date overview of the progress made in the burgeoning field of cardio-oncology, encompassing oncological treatments conferring risk, prediction strategies to identify patients at risk, imaging and biomarker monitoring for emergent or subclinical toxicity and prevention in primary and secondary settings with a focus on heart failure.

Concepts: Primary education, Emergence, The Reader, Academy Award for Best Actress, Academy Award for Best Picture, Kate Winslet, English-language films

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Perioperative informatics tools continue to be developed at a rapid pace and offer clinicians the potential to greatly enhance clinical decision making. The goal of this review is to bring the reader updates on perioperative information management and discuss future research directions in the field.

Concepts: Academy Award for Best Actress, Academy Award for Best Picture, Kate Winslet, Decision engineering, Decision theory

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One of a series of five books on interagency partnership in public health and social care, this book focuses on evaluation. It guides the reader through the outcomes evaluation process beginning with an explanation of what evaluation and outcomes are and why they matter.

Concepts: Books, Book, The Reader, Public library, E-book, Academy Award for Best Actress, Evaluation, Health care

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