The Day After Tomorrow

Katherine A. Rowe and A. Benjamin Spencer discuss how college leaders can help restore civil discourse after the election

Composite materials: Tomorrow for the day after tomorrow

A description is given of the history of the use of composite materials in the aerospace industry. Research programs underway to obtain exact data on the behavior of composite materials over time are discussed. It is concluded that metal composites have not yet replaced metals, but that that this may be a future possibility

El día de mañana: historias del caos y del apocalipsis

Reflexions sobre el paper del llibre en la societat, i sobre la destrucció dels dipòsits documentals, a partir del comentari de la pel·lícula The day after tomorrow (2004).Reflections on the role of books in society and on the destruction of deposits of documents, based on a commentary of the movie, The day after tomorrow.Reflexiones sobre el papel del libro en la sociedad, y sobre la destrucción de los depósitos documentales, a partir del comentario de la película The day after tomorrow (2004)

The Day after Tomorrow - uniformitaristernes mareridt?

Dmi.dk har smugkigget på The Day after Tomorrow. Filmen er sprængfyldt med vilde, visuelle vejrfænomener; som vi i denne artikel sætter under meteorologisk lup. Hvad er fup,  og hvad er fakta

Is it possible to predict the far future before the near future is known accurately?

It has always been the dream of mankind to predict the future. If the future is governed by laws of physics, like in the case of the weather, one can try to make a model, solve the associated equations, and thus predict the future. However, to make accurate predictions can require extremely large amounts of computation. If we need seven days to compute a prediction for the weather tomorrow and the day after tomorrow, the prediction arrives too late and is thus not a prediction any more. Although it may seem improbable, with the advent of powerful computers with many parallel processors, it is possible to compute a prediction for tomorrow and the day after tomorrow simultaneously. We describe a mathematical algorithm which is designed to achieve this

The Day After Tomorrow: Climate Change & The Today of Science, Film, & Activism

Submitted to the Department of History of the University of Kansas in partial fulfillment of the requirements for departmental honors.In May of 2004, director Roland Emmerich released his blockbuster film The Day After Tomorrow. Since its release, the film has been noted as being an important piece of Cli-Fi, Climate Fiction. This thesis argues that the film has been given these distinctions of importance to Cli-Fi and the climate change movement is due to the political and social context it was released in as a traumatized post-9/11 society under the Bush Administration’s environmental policies. This thesis further argues that The Day After Tomorrow’s success stems from its ability to harness the emotions from this specific traumatized audience and has since been used by members of the climate change movement to garner public action

The Day-After-Tomorrow: On the Performance of Radio Fingerprinting over Time

The performance of Radio Frequency (RF) Fingerprinting (RFF) techniques is negatively impacted when the training data is not temporally close to the testing data. This can limit the practical implementation of physical-layer authentication solutions. To circumvent this problem, current solutions involve collecting training and testing datasets at close time intervals - this being detrimental to the real-life deployment of any physical-layer authentication solution. We refer to this issue as the Day-After-Tomorrow (DAT) effect, being widely attributed to the temporal variability of the wireless channel, which masks the physical-layer features of the transmitter, thus impairing the fingerprinting process. In this work, we investigate the DAT effect shedding light on its root causes. Our results refute previous knowledge by demonstrating that the DAT effect is not solely caused by the variability of the wireless channel. Instead, we prove that it is also due to the power cycling of the radios, i.e., the turning off and on of the radios between the collection of training and testing data. We show that state-of-the-art RFF solutions double their performance when the devices under test are not power cycled, i.e., the accuracy increases from about 0.5 to about 1 in a controlled scenario. Finally, we show how to mitigate the DAT effect in real-world scenarios, through pre-processing of the I-Q samples. Our experimental results show a significant improvement in accuracy, from approximately 0.45 to 0.85. Additionally, we reduce the variance of the results, making the overall performance more reliable.</p