973 resultados para atomic bomb


Relevância:

60.00% 60.00%

Publicador:

Resumo:

"DNA 6034F."

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Mode of access: Internet.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

"April 1969."

Relevância:

60.00% 60.00%

Publicador:

Resumo:

"DNA 6033F."

Relevância:

60.00% 60.00%

Publicador:

Resumo:

"DNA 6005F."

Relevância:

60.00% 60.00%

Publicador:

Resumo:

"5 February 1981."

Relevância:

60.00% 60.00%

Publicador:

Resumo:

The purpose of this study was to investigate how the Truman administration used fear to generate popular support for its Cold War foreign policies. Three issues were examined through the use of published government documents, personal memoirs, and weekly periodicals to assess the responses of the American public: the enactment of universal military training (UMT), the Soviet detonation of an atomic device, and the Truman administration's decision to build the hydrogen bomb. This study shows that the changing attitudes in the Truman administration toward the Soviet Union occurred in a climate of fear. Through press releases and by exerting influence on the media, the administration attempted to control the information the public received. Through the use of propaganda, the Truman administration pursued the implementation of UMT, generated fear of the Soviet Union after its detonation of the atomic bomb, and gained relative public support for the decision to build the hydrogen bomb.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Concentrations of Cd, Pb, Zn, Cu, Co, Ni, Fe, and Al203, water content, the amounts of organic carbon, the ratio of 13C/12C and the 14C-activity of the organic fraction were determined with sediment depth from a 34 cm long box-core from the Bornholm Basin (Baltic Sea). The average sedimentation rate was 2.4 mm/yr. The upper portion of the core contained increasing amounts of 14C-inactive organic carbon, and above 3 cm depth, man-made 14C from atomic bomb tests. The concentrations of the heavy metals Cd, Pb, Zn, and Cu increase strongly towards the surface, while other metals, as Fe, Ni and Co remain almost unchanged. This phenomenon is attributed to anthropogenic influences. A comparison of the Kieler Bucht, the Bornholm and the Gotland Basins shows that today the anthropogenic addition of Zn is about 100 mg/m**2 yr in all three basins. The beginning of this excess of Zn, however, is delayed by about 20 years in, the Bornholm Basin and by about 40 years in the Gotland Basin. It is suggested that SW-NE transport of these anthropogenically mobilized metals may be related to periodic bottom water renewal in the Baltic Sea sedimentary basins.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

The molecular and metal profile fingerprints were obtained from a complex substance, Atractylis chinensis DC—a traditional Chinese medicine (TCM), with the use of the high performance liquid chromatography (HPLC) and inductively coupled plasma atomic emission spectroscopy (ICP-AES) techniques. This substance was used in this work as an example of a complex biological material, which has found application as a TCM. Such TCM samples are traditionally processed by the Bran, Cut, Fried and Swill methods, and were collected from five provinces in China. The data matrices obtained from the two types of analysis produced two principal component biplots, which showed that the HPLC fingerprint data were discriminated on the basis of the methods for processing the raw TCM, while the metal analysis grouped according to the geographical origin. When the two data matrices were combined into a one two-way matrix, the resulting biplot showed a clear separation on the basis of the HPLC fingerprints. Importantly, within each different grouping the objects separated according to their geographical origin, and they ranked approximately in the same order in each group. This result suggested that by using such an approach, it is possible to derive improved characterisation of the complex TCM materials on the basis of the two kinds of analytical data. In addition, two supervised pattern recognition methods, K-nearest neighbors (KNNs) method, and linear discriminant analysis (LDA), were successfully applied to the individual data matrices—thus, supporting the PCA approach.