No abstract

No abstract

No abstract

To solve the controversial issue concerning the possible existence of a 17 keV neutrino with a 1% admixture in nuclear p decay, we searched directly for any evidence of a production-threshold effect. The 63Ni P spectrum was measured with a magnetic spectrometer, with very high statistics along with a fine energy scan over a narrow energy region around the expected threshold. The obtained mixing strength was / U 12= [-0.011f 0.033(stat)fO.O30(syst)]%, very consistent with zero, and decisively excluding the existence of a 17 keV neutrino admixing at the 1% level with the electron neutrino. The corresponding upper limit was set at I U /2<0.073% (95% C.L.). A new limit was also obtained for a wider mass range: I U 12<0.15% (95% C.L.) for 10.5 to 25.0 keV neutrinos. PACS number(s): 23.40. Bw, 14.60.Gh, 27.50.fe

No abstract

No abstract

This paper addresses the automatic generation of a typographic font from a subset of characters. Specifically, we use a subset of a typographic font to extrapolate additional characters. Consequently, we obtain a complete font containing a number of characters sufficient for daily use. The automated generation of Japanese fonts is in high demand because a Japanese font requires over 1,000 characters. Unfortunately, professional typographers create most fonts, resulting in significant financial and time investments for font generation. The proposed method can be a great aid for font creation because designers do not need to create the majority of the characters for a new font. The proposed method uses strokes from given samples for font generation. The strokes, from which we construct characters, are extracted by exploiting a character skeleton dataset. This study makes three main contributions: a novel method of extracting strokes from characters, which is applicable to both standard fonts and their variations; a fully automated approach for constructing characters; and a selection method for sample characters. We demonstrate our proposed method by generating 2,965 characters in 47 fonts. Objective and subjective evaluations verify that the generated characters are similar to handmade characters.

No abstract