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Remarks on Four-Dimensional Probabilistic Finite Automata
Makoto Sakamoto,Yasuo Uchida,Makoto Nagatomo,Tuo Zhang,Hikaru Susaki,Takao Ito,Tsunehiro Yoshinaga,Satoshi Ikeda,Masahiro Yokomichi,Hiroshi Furutani 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.4
This paper deals with the study of four-dimensional automata. Recently, due to the advances in many application areas such as dynamic image processing, computer animation, augmented reality (AR), and so on, it is useful for analyzing computation of four-dimensional information processing (three-dimensional pattern processing with time axis) to explicate the properties of four-dimensional automata. From this point of view, we have investigated many properties of four-dimensional automata and computational complexity. On the other hand, the class of sets accepted by probabilistic machines have been studied extensively. As far as we know, however, there is no results concerned with four-dimensional probabilistic machines. In this paper, we introduce four-dimensional probabilistic finite automata, and investigate some accepting powers of them.
Remarks on Four-Dimensional Probabilistic Finite Automata
Makoto Sakamoto,Yasuo Uchida,Makoto Nagatomo,Tuo Zhang,Hikaru Susaki,Takao Ito,Tsunehiro Yoshinaga,Satoshi Ikeda,Masahiro Yokomichi,Hiroshi Furutani 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.6
This paper deals with the study of four-dimensional automata. Recently, due to the advances in many application areas such as dynamic image processing, computer animation, augmented reality (AR), and so on, it is useful for analyzing computation of four-dimensional information processing (three-dimensional pattern processing with time axis) to explicate the properties of four-dimensional automata. From this point of view, we have investigated many properties of four-dimensional automata and computational complexity. On the other hand, the class of sets accepted by probabilistic machines have been studied extensively. As far as we know, however, there is no results concerned with four-dimensional probabilistic machines. In this paper, we introduce four-dimensional probabilistic finite automata, and investigate some accepting powers of them.
Negative Muon Capture on Nitrogen Oxide Molecules
Kazuhiko Ninomiya,Takashi U. Ito,Wataru Higemoto,Makoto Kita,Atsushi Shinohara,Takashi Nagatomo,Kenya Kubo,Patrick Strasser,Naritoshi Kawamura,Koichiro Shimomura,Yasuhiro Miyake,Taichi Miura 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.41
The characteristic muonic X-ray measuring system for low pressure gas sample was constructed to investigate the initial process of muonic atom formation. Low background characteristic muonic X-ray spectra were obtained for neon (1.0 bar) and nitrogen mono-oxide samples (0.99 bar) by muon irradiation with 19 MeV/c. The deviation of characteristic muonic X-ray intensity patterns both for muonic nitrogen and oxygen atoms in nitrogen mono-oxide sample between our low pressure experiment and the previous high pressure experiment was found. Muon capture probability was also determined and compared with the previous work and empirical estimations.
Atsushi Nanashima,Masahide Hiyoshi,Naoya Imamura,Koichi Yano,Takeomi Hamada,Rouko Hamada,Kenzo Nagatomo,Makoto Ikenoue,Shuichi Tobinaga,Takeshi Nagayasu 한국간담췌외과학회 2019 Annals of hepato-biliary-pancreatic surgery Vol.23 No.2
Backgrounds/Aims: Preoperative nutritional status has been reported to influence patient outcomes after pancreatectomy. The Prognostic Nutritional Index (PNI) is a useful parameter to reflect the outcomes of patients undergoing gastrointestinal surgery. Therefore, the relationship between the PNI and clinicopathological factors, surgical data, and postoperative morbidity were retrospectively evaluated at two academic institutes in a cohort study. Methods: Curative pancreatectomy was performed on 222 patients at the University of Nagasaki between 1995 and March 2015, and 101 at the University of Miyazaki between April 2015and March 2018. The PNI was calculated using preoperative albumin and total cholesterol levels. Results: The mean PNI in our series was 39.2±5.4 and the prevalence of PNIs less than 40 was observed in 134 patients (44%). The PNI was not significantly different between normal, hard, and fatty architecture of the pancreatic parenchyma. The PNIs were significantly negatively correlated with higher age (p<0.01), but not with gender, co-morbidity, or habits. The PNI was significantly correlated with levels of hemoglobin, prothrombin activity, choline esterase, total protein, albumin and cholesterol (p<0.01), and with postoperative total protein and albumin levels (p<0.05). Although the preoperative PNI tended to be lower in patients with total postoperative complications, no significant differences for each complication were observed. Conclusions: Although the preoperative PNIs reflect the perioperative nutritional status, its predictive usefulness for postoperative complications could not be significantly confirmed.