Titlebook: Modern Classical Economics and Reality; A Spectral Analysis Theodore Mariolis,Lefteris Tsoulfidis Book 2016 Springer Japan 2016 Capital Th

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Failure Prediction of Tumoral Bone with Osteolytic Lesion in Micer-specific geometry and mechanical properties improves assessment of bone failure, and to determine which criterion has to be taken into account to improve failure detection. To achieve this aim, an osteolytic mice model was considered. Tumoral cells were injected intra-tibially to induce a tumor in

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Regulatory Developments in Risk Management: Restoring Confidence in Internal Modelsrtant prerequisite for continuing to use these models as a basis for calculating risk-sensitive prudential capital requirements. The authors argue that restoring confidence is feasible. Contributions to this end will be made both by the reform of regulatory requirements under Basel 2.5 and the Tradi

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Symbiont AI and Embodied Symbiotic Learning,o tackle specific rather than general tasks, are brittle when taken outside of controlled environments, or can only be trained by technically proficient users. In this paper we propose a new type of general-purpose assistive agent called a Symbiont AI that is designed to support users with greater t

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Open Landfill Site and Threat to the Proximity Resident’s: Addressing Perceived Consequences of Unsct is becoming a significant challenge in concern to environmental and public health. This research aimed to assess whether the disposal of garbage in landfills affected the people who live near them. A systematic questionnaire was devised and disseminated in this research to examine the adjacent peo

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Differential Diagnosis in Pediatricsod we do not limit our scrutiny to just a droplet under a microscope; we try to understand the way blood courses through the body as a whole. Most analyses of metaphor are limited to microscopic examination of isolated metaphors; they do not offer a theoretical basis for studying the role of metaphor in a text as a whole.

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Getting Started with Programming,larity between the mathematical notation and the implementation in matlab. We also introduce random numbers and conditional statements and use this to generate random walkers. Finally, we show how to read and plot real data as found on NASA servers.

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https://doi.org/10.1007/978-981-97-6363-4 source domain is an effective way to mitigate shortcut learning. By promoting independence across different factors of variation in the learned representations, networks can learn to consider only predictive factors and ignore potential shortcut factors during inference.