Abstract: The present disclosure provides a high-density low-loss rare-earth permanent magnetic powder, a bonded magnet, and preparing methods thereof. A molecular formula of the high-density rare-earth permanent magnetic powder is SmxFe100-x-y-zMyIz, wherein 6.0?x?9.5, 0?y?13, and 1?z?15.2; and M is a 3d transition-group metal and/or 4d transition-group metal, and I is an interstitial atom, and includes N, or a combination of N and H. The high-density rare-earth permanent magnetic powder has a maximum energy product not less than 36.299 MGOe, and a compression density not less than 5.5 g/cm3. The rare-earth permanent magnetic powder according to the embodiments of the present disclosure, as compared with conventional rare-earth permanent magnetic powders, can have better comprehensive properties. While the magnetic properties have been improved, the density of the magnetic powder can be increased, and the particle-size distribution of the magnetic powder can be more uniform.

Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.