Abstract: A metal product includes a metal substrate, at least one first hole, at least one second hole, and at least one third hole. The first hole is formed in a surface of the metal substrate. The second hole is formed in at least one of a portion of the surface of the metal substrate without the first hole and an inner surface defining the first hole. The third hole is formed in at least one of a portion of the surface of the metal substrate without the first hole and without the second hole, a portion of the inner surface defining the first hole without the second hole, and an inner surface defining the second hole. The first, second, and third holes enhance a bonding strength between the metal product and a material product. The disclosure also provides a metal composite and a method for manufacturing the metal product.

Abstract: The present invention discloses a train compartment vibration monitoring method and vibration signal feature library establishment and application methods. The non-intrusive train compartment vibration monitoring method only obtains vibration signals of a main measurement point in a train compartment during actual monitoring. The method accurately and truthfully reflects the relationship between the position of a vibration source and the phase offset and amplitude attenuation, can monitor the vibration of an unknown vibration source, and can identify the abnormal vibration to provide a basis for abnormal vibration processing.

Abstract: This invention relates to an optical article comprising a transparent substrate coated with an antireflective coating comprising at least two layers having a low refractive index, and at least two layers having a high refractive index, one layer having a high refractive index being the nearest from said substrate, characterized in that the total physical thickness of said antireflective coating is equal to or lower than 600 nm, and such that: —the mean reflection factor in the near infrared region is higher than or equal to 20% at an angle of incidence lower than 35°, and —the mean reflection factor RmB of blue light at a wavelength ranging from 420 to 450 nm is higher than or equal to 7.0% at an angle of incidence lower than 15°.

Abstract: A compound of formula (I) or a salt, solvate or prodrug thereof: wherein R1 and R4 are independently selected from C1-C5 alkyl, C1-C5 haloalkyl, C1-C5 alkenyl, C1-C5 haloalkenyl, C1-C5 alkynyl, C1-C5 haloalkynyl, C1-C5 alkoxy or C1-C5 haloalkoxy; R2 is an optionally substituted heteroaryl selected from optionally substituted tetrazolyl or optionally substituted imidazopyridinyl; and R3 is selected from H or optionally substituted alkyl.

Abstract: An expressive speech-to-speech generation system which can generate expressive speech output by using expressive parameters extracted from the original speech signal to drive the standard TTS system. The system comprises: speech recognition means, machine translation means, text-to-speech generation means, expressive parameter detection means for extracting expressive parameters from the speech of language A, and expressive parameter mapping means for mapping the expressive parameters extracted by the expressive parameter detection means from language A to language B, and driving the text-to-speech generation means by the mapping results to synthesize expressive speech.

Abstract: Described is a technology, such as for use in information retrieval, by which key phrases (e.g., the phrases most relevant to a document) are extracted from a document based upon core words in that document (e.g., the words most relevant to the document). Various relevance features of each candidate word may be used to score and rank the candidate words relative to one another and thereby determine the core word or core words. The core word or words may be used to filter a document's phrases into candidate phrases, and/or used to determine core word feature values associated with each candidate phrase. The features of each candidate phrase, one or more of which may be based on the presence or absence of core words in the candidate phrase, are used to rank the candidate phrases, with the top-ranked candidate phrases being the key phrases associated with the document.

Abstract: Described is a technology, such as for use in information retrieval, by which key phrases (e.g., the phrases most relevant to a document) are extracted from a document based upon core words in that document (e.g., the words most relevant to the document). Various relevance features of each candidate word may be used to score and rank the candidate words relative to one another and thereby determine the core word or core words. The core word or words may be used to filter a document's phrases into candidate phrases, and/or used to determine core word feature values associated with each candidate phrase. The features of each candidate phrase, one or more of which may be based on the presence or absence of core words in the candidate phrase, are used to rank the candidate phrases, with the top-ranked candidate phrases being the key phrases associated with the document.

Abstract: An expressive speech-to-speech generation system which can generate expressive speech output by using expressive parameters extracted from the original speech signal to drive the standard TTS system. The system comprises: speech recognition means, machine translation means, text-to-speech generation means, expressive parameter detection means for extracting expressive parameters from the speech of language A, and expressive parameter mapping means for mapping the expressive parameters extracted by the expressive parameter detection means from language A to language B, and driving the text-to-speech generation means by the mapping results to synthesize expressive speech.

Abstract: An expressive speech-to-speech generation system and method which can generate expressive speech output by using expressive parameters extracted from the original speech signal to drive the standard TTS system. The system comprises: speech recognition means, machine translation means, text-to-speech generation means, expressive parameter detection means for extracting expressive parameters from the speech of language A, and expressive parameter mapping means for mapping the expressive parameters extracted by the expressive parameter detection means from language A to language B, and driving the text-to-speech generation means by the mapping results to synthesize expressive speech. The system and method can improve the quality of the speech output of the translating system or TTS system.

Abstract: An expressive speech-to-speech generation system and method which can generate expressive speech output by using expressive parameters extracted from the original speech signal to drive the standard TTS system. The system comprises: speech recognition means, machine translation means, text-to-speech generation means, expressive parameter detection means for extracting expressive parameters from the speech of language A, and expressive parameter mapping means for mapping the expressive parameters extracted by the expressive parameter detection means from language A to language B, and driving the text-to-speech generation means by the mapping results to synthesize expressive speech. The system and method can improve the quality of the speech output of the translating system or TTS system.