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NTV Segodnya July 3, 2024

Ankylosing spondylitis, chronic arthritis affecting cartilage tissue and joints. Hello, you are watching news on ntv, in the egor kalyvanov studio. So, russia blocked the draft resolution of the Un Security Council on the nonplacement of weapons of mass destruction in space, proposed by russia, proposed by the United States and japan. Our permanent representative to the un , vasily nebendi, recalled that russia has long been in favor of a complete rather than partial ban. What russia and china have been insisting on since at least 2008. This should be included in the draft resolution prepared by the United States and japan. Russia and china proposed an amendment on the inadmissibility of all types of weapons in outer space, but washington and its allies in the Un Security Council rejected it. The pentagon expects to transfer the first weapons from the new aid package to ukraine within a few days after biden signs it. The corresponding law, although the white house is not sure that this

BELARUSTV July 3, 2024

A new day has come and lets celebrate it together. Another wednesday has also arrived; today, april 10, today is a special holiday, which is dedicated to family ties and the unique friendship between brothers and sisters. This day is called the day of brothers and sisters. By the way, i have both a twin sister and brother. And one brother, the second brother, so big, big congratulations to all my beloved relatives. Do you have . Well, youre lucky. I have. The most important words, but todays holiday is informal, it does not require adherence to any special traditions, but why not get together with the whole family for dinner in the evening, look at family photos or videos, laugh and just have a good time time, so i wanted to say, and there will be these gifts, that this can always be done, you dont even have to wait for the holiday, and friends, if possible, be sure to meet your brothers and sisters in person today, you can organize, well, as an option, a video call, no matter where yo

Frontiers | Mapping of Pollution Distribution for Electric Power System Based on Satellite Remote Sensing

In recent years, the frequent fouling accidents has posed a serious threat to people's life and property safety. Due to the wide distribution of pollution sources and variable meteorological factors, it is a very time-consuming and labour-intensive task to map the pollution distribution by traditional methods. In this work, a study on the mapping of pollution distribution based on satellite remote sensing is carried out in Yunnan Province, China, as an example. Several machine learning methods (e.g. KNN, SVM, etc.) are used to analyze the effects of conditions such as multiple air pollution data and meteorological data on pollution distribution map levels. The results indicate that the ensemble learning model has the highest accuracy of 71.2\% in this application. The new pollution distribution map using this classifier has 5,506 more pixels in the most severe pollution level than the traditional. Lastly, The remote sensing-based map and the manual measurement-based map were combin

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