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11,688 result(s) for "Queen"
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Cruel Crown : Queen Song & Steel Scars
In two revealing prequels to Red Queen, Queen Coriane recounts her heady courtship with the crown prince, the birth of a new prince, Cal, and the potentially deadly challenges that lay ahead for her in royal life. Meanwhile, Captain Farley exchanges coded transmissions with the resistance--and stumbles upon a connection that may prove to be the key to an attack on the Nortan capital: Mare Barrow.
King's cage
Mare Barrow is being held prisoner by a boy she once loved, who is now king and following in his mother's footsteps. Mare's group of followers prepares for war and all allegiances will be tested.
Evaluating explainability for graph neural networks
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no or unreliable ground-truth explanations. Here, we introduce a synthetic graph data generator, Shape GG en , which can generate a variety of benchmark datasets (e.g., varying graph sizes, degree distributions, homophilic vs. heterophilic graphs) accompanied by ground-truth explanations. The flexibility to generate diverse synthetic datasets and corresponding ground-truth explanations allows Shape GG en to mimic the data in various real-world areas. We include Shape GG en and several real-world graph datasets in a graph explainability library, G raph XAI. In addition to synthetic and real-world graph datasets with ground-truth explanations, G raph XAI provides data loaders, data processing functions, visualizers, GNN model implementations, and evaluation metrics to benchmark GNN explainability methods.
War storm
Resolved to overthrow the kingdom of Norta, Mare must side with the boy who broke her heart, while King Maven, vows to have Mare as his own.
Gains vs losses in pay-for-performance: Stated preference evidence from a U.S. survey
Pay-for-performance (P4P) incentives can be paid as a bonus (gain) or a penalty (loss). Diminishing marginal utility of wealth suggests that, starting from the same initial wealth, individuals dislike losses more than they like equivalent gains. This study reports the minimum financial gain or loss required to motivate primary care providers and clinical staff to try to increase their human papillomavirus (HPV) vaccination rates. In 2022, we conducted a national U.S. survey through WebMD's Medscape Network of clinical staff working in primary care clinics that provided HPV vaccination to children ages 9 through 12 years (N = 2,527; response rate = 57%). We randomized respondents to one of two hypothetical HPV vaccine incentive designs: a bonus for reaching an unspecified target HPV vaccination rate and a penalty for failing to reach the unspecified target. The primary outcome is the self-reported smallest incentive amount (U.S. dollars) that would motivate participants to try and increase their HPV vaccination rates. We tested for differences across P4P designs using unadjusted responses and linear regressions adjusting for clinic and respondent characteristics. We also tested for heterogeneous responses by experience with incentizves, training, and rurality. The mean amount required to motivate effort was $2,155 in the gain P4P design and $1,185 in the loss P4P design (unadjusted difference =  $970 [p < 0.001], adjusted difference =  $967 [p < 0.001]). There were no heterogeneous effects by rurality or experience with incentives. Physicians reported the highest differences (in dollars) between gain and loss P4P designs. Stated preference data from primary care clinical staff suggests that effective P4P incentives could be half as large if designed as losses rather than gains.
A crown of wishes
She is the princess of Bharata - captured by her kingdom's enemies, a prisoner of war. Now that she faces a future of exile and scorn, Gauri has nothing left to lose. But should she trust Vikram, the notoriously cunning prince of a neighboring land? He promises her freedom in exchange for her battle prowess. Together, they can team up and win the Tournament of WIshes, a competition held in a mythical city where the Lord of Wealth and Treasures promises a wish to the victor. It seems like a foolproof plan - until Gauri and Vikram arrive at the tournament and find that danger takes on new shapes: poisonous courtesans, mischievous story birds, a feast of fears, and twisted fairy revels. New trials will test their devotion, strength and wits at every turn. But what Gauri and Vikram will soon discover is that there's nothing more dangerous than what they most desire.
Red queen
Mare Barrow's world is divided by blood -- those with common, Red blood serve the Silver-blooded elite, who are gifted with superhuman abilities. Mare is a Red, scraping by as a thief in a poor, rural village, until a twist of fate throws her in front of the Silver court. Before the king, princes, and all the nobles, she discovers she has an ability of her own. To cover up this impossibility, the king forces her to play the role of a lost Silver princess and betroths her to one of his own sons. As Mare is drawn further into the Silver world, she risks everything and uses her new position to help the Scarlet Guard -- a growing Red rebellion -- even as her heart tugs her in an impossible direction. One wrong move can lead to her death, but in the dangerous game she plays, the only certainty is betrayal.