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Their Own Best Creations
2022
A rich account that combines media-industry history and cultural
studies, Their Own Best Creations looks at women writers'
contributions to some of the most popular genres of postwar TV:
comedy-variety, family sitcom, daytime soap, and suspense
anthology. During the 1950s, when the commercial medium of
television was still being defined, women writers navigated
pressures at work, constructed public personas that reconciled
traditional and progressive femininity, and asserted that a woman's
point of view was essential to television as an art form. The shows
they authored allegorize these professional and personal pressures
and articulate a nascent second-wave feminist consciousness. Annie
Berke brings to light the long-forgotten and under-studied stories
of these women writers and crucially places them in the historical
and contemporary record.
Combining caesar cipher and hill cipher in the generating encryption key on the vigenere cipher algorithm
2021
There is a risk in the process of exchanging information, especially text information. To reduce that risk, one of cryptographic method can be applied. That is Vigenere Cipher algorithm. But the Vigenere Cipher algorithm have a weakness. The weakness is a repetitive encryption key. It causes the chipertext to be predictable with the Babbage-Kasiski method. By combining Caesar Cipher and Hill Cipher methods in the process of generating the encryption key, its expected to cover up the weakness of the Vigenere Cipher method. The combination has the capability to hide the character appearance’s frequencies.
Journal Article
Mountains : mapping the earth's extremes
This thrilling combination of science, history, geography and adventure brings together more than 170 breathtaking virtual images of mountains, created using modern satellite technology with unprecedented precision and detail, allowing viewpoints that have never before been possible; the history of mountaineering, retold by world-class adventurer Reinhold Messner; first-hand accounts of expeditions by great climbers: Sandy Allan, Hansjörg Auer, Hervé Barmasse, Yannick Graziani, Tomaz̆ Humar, Gerlinde Kaltenbrunner, Pierre Mazeaud, Robert Paragot, John Roskelley, Adolf Schulze, Stephen Venables, and Barbara Washburn.
A Depth Multiple Hierarchical StereoNet by Using Thermodynamic Color Guidance
2021
Thermodynamics is devoted to the study of energy or materials, and few researchers have combined the laws of thermodynamics with stereoscopic vision. Thus, we propose Depth Multiple Hierarchical StereoNet (DMH-Net) by using thermodynamic color guidance, which present end-to-end deep architecture for real-time stereo matching, realize sub-pixel precision and produce high-quality refinement disparity on dataset benchmarks. At the same time, we use color thermodynamics to guide the image output of an accurate Hill disparity image. Our DMH-Net consists of four modules: the first module uses a deep spatial pooling method to extract multiple features that work on the initial left and right images. The second module use color guided to produce high-quality cost volume. We use the ahead of two modules to calculate depth disparity precision, which can segment coarse to fine to obtain background and edge of objects information. Thirdly module integrates the information about 3D cost volume and color channel to frame a 4D hierarchical cost volume. The fourth module is designed by depth hierarchical refinement to regress the final disparity. Finally, we achieve sub-pixel precision and real-time performance on benchmarks, which can produce high-quality thermodynamic disparity regression maps.
Journal Article
Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning
2020
In recent years, the world witnessed many devastating wildfires that resulted in destructive human and environmental impacts across the globe. Emergency response and rapid response for mitigation calls for effective approaches for near real-time wildfire monitoring. Capable of penetrating clouds and smoke, and imaging day and night, Synthetic Aperture Radar (SAR) can play a critical role in wildfire monitoring. In this communication, we investigated and demonstrated the potential of Sentinel-1 SAR time series with a deep learning framework for near real-time wildfire progression monitoring. The deep learning framework, based on a Convolutional Neural Network (CNN), is developed to detect burnt areas automatically using every new SAR image acquired during the wildfires and by exploiting all available pre-fire SAR time series to characterize the temporal backscatter variations. The results show that Sentinel-1 SAR backscatter can detect wildfires and capture their temporal progression as demonstrated for three large and impactful wildfires: the 2017 Elephant Hill Fire in British Columbia, Canada, the 2018 Camp Fire in California, USA, and the 2019 Chuckegg Creek Fire in northern Alberta, Canada. Compared to the traditional log-ratio operator, CNN-based deep learning framework can better distinguish burnt areas with higher accuracy. These findings demonstrate that spaceborne SAR time series with deep learning can play a significant role for near real-time wildfire monitoring when the data becomes available at daily and hourly intervals with the launches of RADARSAT Constellation Missions in 2019, and SAR CubeSat constellations.
Journal Article
Mountains : a very short introduction
\"Looks at both the regional and global effects of mountains on climate and ecosystems. Considers the value of mountains to humanity, as centres of biological and cultural diversity, religious sanctuaries, sources of food, timber, and medicines, and major centres for tourism. Discusses the impact of climate change on mountains, and considers how this affects the people who rely on mountains for their livelihood or culture\"--Publisher's description.
Adopt a moratorium on heritable genome editing
2019
Eric Lander, Françoise Baylis, Feng Zhang, Emmanuelle Charpentier, Paul Berg and specialists from seven countries call for an international governance framework.
Eric Lander, Françoise Baylis, Feng Zhang, Emmanuelle Charpentier, Paul Berg and specialists from seven countries call for an international governance framework.
Embryo culture dish used for in vitro fertilisation
Journal Article