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Studies of charmed strange baryons in theΛDfinal state at Belle
Kato, Y.,Iijima, T.,Adachi, I.,Aihara, H.,Asner, D. M.,Aulchenko, V.,Ayad, R.,Badhrees, I.,Bakich, A. M.,Barberio, E.,Behera, P.,Bhardwaj, V.,Bhuyan, B.,Biswal, J.,Bobrov, A.,Bondar, A.,Bonvicini, G. American Physical Society 2016 Physical Review D Vol.94 No.3
<P>We report the discovery of Xi(c)(3055)(0), observed by its decay into the final-state Lambda D-0, and present the first observation and evidence of the decays of Xi(c)(3055)(+) and Xi(c)(3080)(+) into Lambda D+. We also perform a combined analysis of the Lambda D+ with the Sigma K-++(c)- and Sigma(c)*K-++(-) decay modes to measure the ratios of branching fractions, masses and widths with improved accuracy. We measure the ratios of branching fractions B(Xi(c)(3055)(+) -> Lambda D+)/B(Xi(c)(3055)(+) -> Sigma(++)(c) K-) = 5.09 +/- 1.01 +/- 0.76, B(Xi(c)(3080)(+) -> Lambda D+)/B(Xi(c)(3080)(+) -> Sigma K-++(c)-) = 1.29 +/- 0.30 +/- 0.15, and B(Xi(c)(3080)(+) -> Sigma(c)*K-++(-))/B(Xi(c)(3080)(+) -> Sigma K-++(c)-) = 1.07 +/- 0.27 +/- 0.04, where the uncertainties are statistical and systematic. The analysis is performed using a 980 fb(-1) data sample collected with the Belle detector at the KEKB asymmetric-energy e(+)e(-) collider.</P>
Measurements of the absolute branching fractions of B+→Xcc¯K+ and B+→D¯(*)0π+ at Belle
Kato, Y.,Iijima, T.,Adachi, I.,Aihara, H.,Al Said, S.,Asner, D. M.,Aulchenko, V.,Aushev, T.,Ayad, R.,Babu, V.,Badhrees, I.,Bakich, A. M.,Bansal, V.,Barberio, E.,Behera, P.,Bhardwaj, V.,Bhuyan, B.,Bisw American Physical Society 2018 Physical Review D Vol.97 No.1
<P>We present the measurement of the absolute branching fractions of B+ -> Xc (c) over barK+ and B+ -> (D) over bar ((*)0)pi(+) decays, using a data sample of 772 x 10(6) B (B) over bar pairs collected at the gamma(4S) resonance with the Belle detector at the KEKB asymmetric-energy e(+)e(-) collider. Here, X-c (c) over bar denotes eta(c), J/psi, chi(c0), chi(c1), eta(c) (2S), psi(2S), psi(3770), X(3872), and X(3915). We do not observe significant signals for X(3872) or X(3915) and set the 90% confidence level upper limits at B(B+ -> X(3872)K+) < 2.6 x 10(-4) and B(B+ -> X(3915)K+) < 2.8 x 10(-4). These represent the most stringent upper limit for B(B+ -> X(3872)K+) to date and the first limit for B(B+ -> X(3915)K+). The measured branching fractions for eta(c) and eta(c)(2S) are the most precise to date, B(B+ -> eta K-c(+)) = (12.0 +/- 0.8 +/- 0.7) x 10(-4) and B(B+ -> eta(c)(2S)K+) = (4.8 +/- 1.1 +/- 0.3) x 10(-4), where the first and second uncertainties are statistical and systematic, respectively.</P>
TT Virus Infection Among Blood Donors and Patients with non-B, Non-C Liver Diseases in Korea
T, Nakano,Park, Young-Min,Mizokami,Choi, Jong-Young,E, Orito,T, Ohno,T, Kato,Y, Kondo,Y, Tanaka,H, Kato,T, Kato,Kim, Boo-Sung 가톨릭대학교 2000 Bulletin of The Catholic Research Institutes of Me Vol.28 No.-
Background/Aims : A novel virus, designated the TT virus (TTV), was isolated from the serum of a patient with posttransfusion hepatitis of unknown etiology, in Japan. Subsequently, TTV was suggested to be a causative agent in a proportion of cases with cryptogenic hepatitis in Japan. This study aimed to elucidate the significance of TTV infection in cases with cryptogenic liver disease in Korea, a neighbor of Japan. Methods : The prevalence of TTV infection was studied in 120 patients with liver diseases, including 85 patients diagnosed as having non-B, non-C liver diseases. As controls, 220 blood donors were also examined. TTV DNA was detected by polymerase chain reaction, and the sequence was analyzed by phylogenetic analysis. Results : Fourteen (14.0%) of 100 accepted blood donors, 23 (19.2%) of 120 rejected blood donors, and 15 (17.6%) of 85 patients with non-B, non-C liver diseases were positive for TTV DNA. The prevalences of TTV infection among these groups were not significantly different. Phylogenetic analysis suggested the existence of four major genotypes of TTV The proportions of each genotype among patients with non-B, non-C liver diseases were not different from those among accepted blood donors. Conclusions : TTV exists in Korea, but the prevalence among patients with non-B, non-C liver diseases was almost the same as that among blood donors. TTV may not be the main causative agent of cryptogenic liver disease in Korea. The relationship between non-B, non-C liver diseases and TTV genotype remains unclear, although TTV can be classified into four genotypes. (The Journal of Hepatology 30(3):389-93, 1999)
Search for doubly charmed baryons and study of charmed strange baryons at Belle
Kato, Y.,Iijima, T.,Adachi, I.,Aihara, H.,Asner, D. M.,Aushev, T.,Bakich, A. M.,Bala, A.,Ban, Y.,Bhardwaj, V.,Bhuyan, B.,Bobrov, A.,Bonvicini, G.,Bozek, A.,Brač,ko, M.,Browder, T. E.,Č,erven American Physical Society 2014 PHYSICAL REVIEW D - Vol.89 No.5
Kato, J.,Kim, H.E.,Takiguchi, N.,Kuroda, A.,Ohtake, H. Society for Bioscience and Bioengineering, Japan ; 2008 Journal of bioscience and bioengineering Vol.106 No.1
Motile bacteria sense changes in the concentration of chemicals in environments and respond in a behavioral manner. This behavioral response is called chemotaxis. Bacterial chemotaxis can be viewed as an important prelude to metabolism, prey-predator relationships, symbiosis, infections, and other ecological interactions in biological communities. Genome analysis reveals that a large number of environmental motile bacteria possess a number of genes involved in chemosensing and chemotatic signal transduction. Pseudomonas aeruginosa has a very complex chemosensory system with more than 20 chemotaxis (che) genes in five distinct clusters and 26 chemoreceptor (methyl-accepting chemotaxis protein [mcp]) genes. Among the 26 MCPs of P. aeruginosa, nine have been identified as MCPs for amino acids, inorganic phosphate, oxygen, ethylene, and volatile chlorinated aliphatic hydrocarbons, whereas 3 MCPs were demonstrated to be involved in biofilm formation and biosynthesis of type IV pilus. Six che genes are essential for chemotactic responses, while genes in Pil-Chp cluster and Wsp cluster are involved in type IV pilus synthesis and twitching motility and biofilm formation, respectively. P. aeruginosa, with its complex chemotaxis system, is a better model microorganism for investigating ecological aspects of chemotaxis in environmental bacteria than Escherichia coli and Salmonella enterica serovar Typhimurium, which possess a relatively simpler chemotaxis system.
Ishiwata, E.,Kimura, T.,Kato, Y.,Hasegawa, Y. The Korean Society of Analytical Sciences 1995 분석과학 Vol.8 No.4
In order to study how and why the stabilities of lanthanoid(III) complexes in solutions vary across the series, the formation constants of the adducts of tris(2-thenoyltrifluoroacetonato)lanthanoids(III) with seven carboxylic acids in chloroform have been determined by solvent extraction technique at 298K. The formation constants with carboxylic acids generally decrease with increasing the atomic number, but in the middle of the series, they change only slightly. Such trends have been interpreted as related to a change of the coordination number in the middle of the series. It has been attempted to determine the number of water molecules coordinated to the adducts as well as $Eu(TTA)_3$ in chloroform by measuring the fluorescence life time of europium(III), to ensure the assignment of the coordination number.
Position Calibration Method for Large size Industrial Robots Based on Random Forest
D. Kato,N. Maeda,T. Hirogaki,E. Aoyama,K. Takahashi 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
Most industrial robots are unsuitable for variable production systems because they are taught using the teaching playback method. In contrast, the offline teaching method has been developed, but it has not progressed because of the low positioning accuracy. Therefore, several studies have proposed methods to calibrate for positioning errors using neural networks. However, it is difficult to identify the factors of positioning errors because the structure of neural networks is not clear. Herein, we applied the random forest method, which is a type of machine learning method, and constructed a prediction model for positioning errors. A large industrial robot was used, and three-dimensional coordinates of the end-effector were obtained using a laser tracker. The model to predict the positioning error from end-effector coordinates, joint angles, and joint torques was constructed using the random forest method, and the positioning error was predicted with high accuracy. The random forest analysis demonstrated that joint 2 was the primary factor of the X- and Z-axis errors. This suggested that the air cylinder used as an auxiliary to the servo motor of joint 2 was the error factor. The positioning error norm was reduced at all points using the proposed calibration.