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Institution

Sophia University

EducationTokyo, Japan
About: Sophia University is a education organization based out in Tokyo, Japan. It is known for research contribution in the topics: Nonlinear system & Catalysis. The organization has 4986 authors who have published 7657 publications receiving 106567 citations. The organization is also known as: Jōchi Daigaku.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors give a generalization of Farkas' lemma for infinite inequality systems involving convex and difference of convex (DC) functions, and present the results in terms of epigraphs of conjugate functions.

56 citations

Journal ArticleDOI
TL;DR: Investigation of the use of 210.4 kHz ultrasound found that 5.0 W/cm(2) of insonation for 5 s most effectively transfected a plasmid DNA into culture slices of mouse brain, which may have a significant role in gene transfer to the central nervous system.
Abstract: Many of the diseases which affect the central nervous system are intractable to conventional therapies and therefore require alternative treatments such as gene therapy. Therapy requires safety, since the central nervous system is a critical organ. Choice of nonviral vectors such as naked plasmid DNA may have merit. However, transfection efficiencies of these vectors are low. We have investigated the use of 210.4 kHz ultrasound and found that 5.0 W/cm 2 of insonation for 5 s most effectively transfected a plasmid DNA into culture slices of mouse brain (147.68-fold increase compared with 0 W/cm 2 of insonation for 5 s). The effect was reinforced by combination with echo contrast agent, Levovist. One hundred fifty mg/mL of Levovist significantly increased gene transfection by ultrasound (5.23-fold when insonated at 5.0 W/cm 2 for 5 s). When DNA was intracranially injected, Levovist also enhanced gene transfection in newborn mice (4.49-fold increase when insonated at 5.0 W/cm 2 for 5 s). Since ultrasound successfully transfected naked plasmid DNA into the neural tissue and Levovist enhanced the effect, this approach may have a significant role in gene transfer to the central nervous system. (E-mail: manome@jikei.ac.jp)

56 citations

Journal ArticleDOI
TL;DR: In this article, a frequency-domain exact model-matching approach is presented for pole assignment in a delay system, with the knowledge that the delay plant is not necessarily stable.
Abstract: Frequency-domain pole assignment and exact model-matching for delay systems are considered, with the knowledge that the delay plant is not necessarily stable. As for pole assignment for the delay plant, the state-space approach, which is also called the ‘time-domain approach’, is already known. The frequency-domain approach, which is much more fruitful than the time-domain approach, has not previously been developed, and is solved in this paper. As for exact model-matching, which is not only of a higher level but is also a more agreeable design method, neither the time-domain nor the frequency-domain approach has been reported. A newly developed frequency-domain exact model-matching approach is presented in this paper.

56 citations

Journal ArticleDOI
TL;DR: In this paper, a new vehicle dynamics simulation is developed with unique modeling specifically taking account of internal slide forces between the vehicle body and the bogie resulting from large motions of vehicles.
Abstract: Considerable numbers of earthquake disasters have been experienced in Japan. Thus the study and research of earthquake disaster prevention are highly aware in Japan. In a railway industry, for instance, infrastructures have been reinforced, and a new alert system has been employed to regulate the operating system to stop trains immediately if a great earthquake occurs. A railway is organized by a variety of individual technologies and functions safely and properly as a system; therefore it is beneficial for the system safety to study and examine the individual potential cases of disasters caused by earthquakes from various different viewpoints. Recent reports imply that rail vehicles could derail solely by the ground motions of earthquakes without fatal damages of vehicles and tracks. Therefore, in this paper, the vehicle safety in terms of the dynamic stability and the possibility of derailment directly caused by the track excitations of great earthquakes is specifically studied. The rail vehicles are supposed to involve severe vehicle body motions, wheel lifts, and derailing behaviors. In this study, such extreme responses of the vehicles are focused on; thus at the start, a new vehicle dynamics simulation is developed with unique modeling specifically taking account of internal slide forces between the vehicle body and the bogie resulting from large motions of vehicles. Then, the simulation is employed to assess the safety of vehicles on excited tracks with sinusoidal displacements, and the numerical results are analyzed. Through the assessment and the analyses, four major outcomes are obtained. First, the limit excitation amplitudes for the wheel lift of flange height, defined as safety limits in this paper, are presented in the frequency range of 0.5-2.5 Hz. Second, two types of critical vehicle motions are captured; one is a rocking motion involving large wheel lift observed in lower frequency excitations and the other is a severe horizontal impact of a wheel to a rail observed in higher frequency excitations. In the latter cases, the vehicles derail with slightly larger excitations than those of the wheel lift of flange height. Third, the roll characteristic of a vehicle body is demonstrated as a dominant factor for the vehicle dynamic motions in terms of large wheel lift and derailment. Finally, the unique modeling in the developed simulation is evaluated, and its advantages for precise prediction of the extreme vehicle responses are confirmed.

56 citations


Authors

Showing all 5005 results

NameH-indexPapersCitations
George P. Chrousos1691612120752
Henning Tiemeier10886648604
Vincent W. V. Jaddoe106100844269
Takaaki Tanaka10532141804
Israel E. Wachs10342732029
Masayoshi Watanabe9564934819
Teruo Okano9160528346
S. Yamamoto8637122637
Nick Serpone8547430532
Tony D. James7343521605
Akihiko Kikuchi7129316970
Paul Hofman7057828581
Kenji Uchino6448020447
Yasuhisa Sakurai6318216709
Jan van der Ende6119613983
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202242
2021272
2020299
2019304
2018317