Tritium fuel cannot be fully replenished. The deuterium-tritium reaction is favored by fusion developers because its reactivity is 20 times higher than a deuterium-deuterium fueled reaction, and the former reaction is strongest at one-third the temperature required for deuterium-only fusion. In fact, an approximately equal mixture of deuterium and tritium may be the only feasible fusion fuel for the foreseeable future. While deuterium is readily available in ordinary water, tritium scarcely exists in nature, because this isotope is radioactive with a half-life of only 12.3 years. The main source of tritium is fission nuclear reactors.
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The United States Department of Energy organized a special panel to review cold fusion theory and research.[62] The panel issued its report in November 1989, concluding that results as of that date did not present convincing evidence that useful sources of energy would result from the phenomena attributed to cold fusion.[63] The panel noted the large number of failures to replicate excess heat and the greater inconsistency of reports of nuclear reaction byproducts expected by established conjecture. Nuclear fusion of the type postulated would be inconsistent with current understanding and, if verified, would require established conjecture, perhaps even theory itself, to be extended in an unexpected way. The panel was against special funding for cold fusion research, but supported modest funding of "focused experiments within the general funding system".[64] Cold fusion supporters continued to argue that the evidence for excess heat was strong, and in September 1990 the National Cold Fusion Institute listed 92 groups of researchers from 10 countries that had reported corroborating evidence of excess heat, but they refused to provide any evidence of their own arguing that it could endanger their patents.[65] However, no further DOE nor NSF funding resulted from the panel's recommendation.[66] By this point, however, academic consensus had moved decidedly toward labeling cold fusion as a kind of "pathological science".[8][67]
Cold fusion researchers placed a "rosier spin"[95] on the report, noting that they were finally being treated like normal scientists, and that the report had increased interest in the field and caused "a huge upswing in interest in funding cold fusion research."[95] However, in a 2009 BBC article on an American Chemical Society's meeting on cold fusion, particle physicist Frank Close was quoted stating that the problems that plagued the original cold fusion announcement were still happening: results from studies are still not being independently verified and inexplicable phenomena encountered are being labelled as "cold fusion" even if they are not, in order to attract the attention of journalists.[87]
The experimental results showed that our model is competitive with the state-of-the-art models. The semantic understanding network module, the emotion understanding network module, and the dynamic fusion strategy are effective modules for depression detection. In addition, the experimental results verified that the emotional semantic information was effective in depression detection.
Depression attracts more and more attention from people and organizations now. With the development of computer technology, some researchers are trying to use computers to automatically identify people who are depressed. In this paper, we proposed an EAN model to explicitly extract the high-level emotion information for the depression detection task. The proposed EAN model consists of the SUN and the EUN. In the proposed model, we took into consideration the positive emotion information and the negative emotion information simultaneously. At the same time, we applied a dynamic fusion strategy to fuse the positive emotion information and the negative information. The experimental results verified that the emotional semantic information is effective in depression detection.
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