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What American woman married the president without changing her last name? Detailed answer

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What American woman married the president without changing her last name?

The niece of the 26th President of the United States, Theodore Roosevelt, named Anna Eleanor, subsequently married her distant relative Franklin Delano Roosevelt, the 32nd President of the United States. She didn't even have to change her last name.

Authors: Jimmy Wales, Larry Sanger

 Random interesting fact from the Great Encyclopedia:

Where does the word miniature come from?

The word "miniature" comes from the Latin name for red paint "minium" and in the original refers to antique or medieval paintings in the genre of illuminated manuscript. Due to the small size of these paintings and the presence of the prefix "mini" in the word, an etymological metamorphosis later occurred, as a result of which any small drawings, especially portrait miniatures, began to be called miniatures. From painting, the term also penetrated into literature, where it refers to works of a small format.

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Latest news of science and technology, new electronics:

Machine for thinning flowers in gardens 02.05.2024

In modern agriculture, technological progress is developing aimed at increasing the efficiency of plant care processes. The innovative Florix flower thinning machine was presented in Italy, designed to optimize the harvesting stage. This tool is equipped with mobile arms, allowing it to be easily adapted to the needs of the garden. The operator can adjust the speed of the thin wires by controlling them from the tractor cab using a joystick. This approach significantly increases the efficiency of the flower thinning process, providing the possibility of individual adjustment to the specific conditions of the garden, as well as the variety and type of fruit grown in it. After testing the Florix machine for two years on various types of fruit, the results were very encouraging. Farmers such as Filiberto Montanari, who has used a Florix machine for several years, have reported a significant reduction in the time and labor required to thin flowers. ... >>

Advanced Infrared Microscope 02.05.2024

Microscopes play an important role in scientific research, allowing scientists to delve into structures and processes invisible to the eye. However, various microscopy methods have their limitations, and among them was the limitation of resolution when using the infrared range. But the latest achievements of Japanese researchers from the University of Tokyo open up new prospects for studying the microworld. Scientists from the University of Tokyo have unveiled a new microscope that will revolutionize the capabilities of infrared microscopy. This advanced instrument allows you to see the internal structures of living bacteria with amazing clarity on the nanometer scale. Typically, mid-infrared microscopes are limited by low resolution, but the latest development from Japanese researchers overcomes these limitations. According to scientists, the developed microscope allows creating images with a resolution of up to 120 nanometers, which is 30 times higher than the resolution of traditional microscopes. ... >>

Air trap for insects 01.05.2024

Agriculture is one of the key sectors of the economy, and pest control is an integral part of this process. A team of scientists from the Indian Council of Agricultural Research-Central Potato Research Institute (ICAR-CPRI), Shimla, has come up with an innovative solution to this problem - a wind-powered insect air trap. This device addresses the shortcomings of traditional pest control methods by providing real-time insect population data. The trap is powered entirely by wind energy, making it an environmentally friendly solution that requires no power. Its unique design allows monitoring of both harmful and beneficial insects, providing a complete overview of the population in any agricultural area. “By assessing target pests at the right time, we can take necessary measures to control both pests and diseases,” says Kapil ... >>

Random news from the Archive

A new method of observing the Sun 19.12.2020

An international team of scientists has developed a new deep learning method for stable classification and quality quantification of solar images from ground-based solar observatories.

To ensure constant monitoring of the Sun, regardless of the schedule of the day, night and local weather conditions, ground-based telescopes are located around the globe. However, the Earth's atmosphere imposes the strongest restrictions on observations of the Sun - clouds can obscure the solar disk, and air vibrations can blur the image. In order to select the best observations from multiple simultaneous observations and detect local deterioration in quality, an objective evaluation of the image quality is required.

The scientists applied artificial intelligence to obtain a quality score similar to human interpretation: a neural network was developed to learn the characteristics of high-quality images and estimate the deviation of real observations from an ideal reference. The scientists' approach is based on generative adversarial networks (GANs), which are commonly used to generate synthetic images.

For example, creating realistic human faces or translating street maps into satellite imagery. This is achieved by approximating the distribution of real images and sampling from it. The content of the generated image can be random or determined by the conditional description of the image.

GAN was used to generate high quality images from the content description of the same image. Therefore, the neural network first extracts the important characteristics of a high-quality image, such as the position and appearance of the solar cells, and then generates the original image from this compressed description. When the same procedure is applied to downgraded images, the network encodes the image content again, but omits the low quality features in the reconstruction. This is a consequence of the approximate distribution of GAN images, which can only generate high quality images.

The Daniel K. Inouye Solar Telescope (DKIST), the largest ground-based solar telescope in the world with a mirror diameter of four meters, already saw the first light in December 2019 and plans to process about six petabytes of information per year. With the recent launch of groundbreaking missions to the Sun, the Parker Solar Probe and Solar Orbiter, the amount of data carrying useful knowledge will only increase.

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