منابع مشابه
I know what you did after school.
A17-year-old male presented to the emergency department in a blood-stained school uniform. He looked weak and pale. He was rushed to the major-resuscitation area. He had apparently been stabbed multiple times after school. The weapon was a narrow, 6-inch knife. Primary survey revealed an intact airway and slightly diminished breath sounds over the right lung field. His trachea was midline, and ...
متن کاملNow that you know.
The process of erythrocyte invasion by merozoites of Plasmodium falciparum involves multiple steps, including the formation of a moving junction between parasite and host cell, and it is characterised by the redundancy of many of the receptor–ligand interactions involved. Several parasite proteins that interact with erythrocyte receptors or participate in other steps of invasion are encoded by ...
متن کاملI Think You Know That I Know That You Think : Epistemology and Interactive Digital Art
Contents 1 Abstract 2 Introduction 3 Discovery 9 Reflection 13 Synthesis 18 Conclusion 20 Appendix 21 Glossary 22 Bibliography 1 Abstract I create computer simulations that illustrate some aspect of meta-knowledge (ie. knowledge about knowledge.) Building from my earlier art and a discussion about epistemology (the scholarly discipline of meta-knowledge,) my thesis artwork is based on the princ...
متن کاملHow did you know that about me? Protecting users against unwanted inferences
The widespread adoption of social computing applications is transforming our world. It has changed the way we routinely communicate and navigate our environment and enabled political revolutions. However, despite these applications’ ability to support social action, their use puts individual privacy at considerable risk. This is in large part due to the fact that the public sharing of personal ...
متن کاملGrad-CAM: Why did you say that?
We propose a technique for making Convolutional Neural Network (CNN)-based models more transparent by visualizing input regions that are ‘important’ for predictions – producing visual explanations. Our approach, called Gradient-weighted Class Activation Mapping (Grad-CAM), uses class-specific gradient information to localize important regions. These localizations are combined with existing pixe...
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ژورنال
عنوان ژورنال: Transactions of the Burgon Society
سال: 2003
ISSN: 2475-7799
DOI: 10.4148/2475-7799.1022