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1,117 results on '"Maehara T"'

1. Complex extension of potentials and trajectories of poles of the S-matrix element in the complex momentum plane

Author

Kawasaki, M., Maehara, T., and Yonezawa, M.

Subjects
Quantum Physics
Abstract

Searching for infrastructure of the quantum mechanical system, we study trajectories of the s-wave poles of the S-matrix element with respect to a real phase $\alpha$ in the complex momentum plane for a complex extension of real potentials by a phase factor $e^{i\alpha}$. This complex extension relates the pole spectrum of the physical system with a potential to the spectrum of another system with the potential of the same shape but of opposite sign. There appear trajectories with the periodicity of $2\pi$, $4\pi$, and $\infty$. The appearance of non-recurrent behavior of the trajectory for the change of phase $\Delta \alpha=2\pi$ is clearly related with the existence of resonance poles for real repulsive potentials. Dynamical changes of trajectory structure are examined., Comment: 10 pages, 7 figures

Published
2008

2. Mutual transformation among bound, virtual and resonance states in one-dimensional rectangular potentials

Author

Kawasaki, M., Maehara, T., and Yonezawa, M.

Subjects
Quantum Physics
Abstract

A detailed analysis has been made by R.Zavin and N.Moiseyev(2004 J. Phys. A: Math, Gen, \textbf{37} 4619) for the change of bound states into resonance states via coalescence of virtual states in a one-dimensional symmetric rectangular attractive potential as it becomes shallow, with convergent wave functions of virtual and resonance states by the complex scaling method. As a complement to such an analysis, we discuss some global features of the pole spectrum of the S-matrix by using a complex extension of the real potential $V^{(\mathrm{real})}$ to $e^{i\alpha}V^{(\mathrm{real})}$ with a real phase $\alpha$. We show the structures of trajectories of poles developed for the change of $\alpha$ in the complex momentum plane, which is useful to understand the mutual transformation among the bound, virtual and resonance states., Comment: 12 pages, 2 Fig's (each has 6 figures)

Published
2008

13. State-space based network topology identification

Author

Coutino, Mario (author), Isufi, E. (author), Maehara, T. (author), Leus, G.J.T. (author), Coutino, Mario (author), Isufi, E. (author), Maehara, T. (author), and Leus, G.J.T. (author)

Abstract

In this work, we explore the state-space formulation of network processes to recover the underlying network structure (local connections). To do so, we employ subspace techniques borrowed from system identification literature and extend them to the network topology inference problem. This approach provides a unified view of the traditional network control theory and signal processing on networks. In addition, it provides theoretical guarantees for the recovery of the topological structure of a deterministic linear dynamical system from input-output observations even though the input and state evolution networks can differ., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Circuits and Systems, Multimedia Computing

Published
2020
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40. Intratumoural immune cell landscape in germinoma reveals multipotent lineages and exhibits prognostic significance.

Author

Takami, H., Fukushima, S., Aoki, K., Satomi, K., Narumi, K., Hama, N., Matsushita, Y., Fukuoka, K., Yamasaki, K., Nakamura, T., Mukasa, A., Saito, N., Suzuki, T., Yanagisawa, T., Nakamura, H., Sugiyama, K., Tamura, K., Maehara, T., Nakada, M., and Nonaka, M.

Subjects
GERMINOMA, NITRIC-oxide synthases, CENTRAL nervous system, PROGRESSION-free survival
Abstract

Aims: Alterations in microenvironments are a hallmark of cancer, and these alterations in germinomas are of particular significance. Germinoma, the most common subtype of central nervous system germ cell tumours, often exhibits massive immune cell infiltration intermingled with tumour cells. The role of these immune cells in germinoma, however, remains unknown. Methods: We investigated the cellular constituents of immune microenvironments and their clinical impacts on prognosis in 100 germinoma cases. Results: Patients with germinomas lower in tumour cell content (i.e. higher immune cell infiltration) had a significantly longer progression‐free survival time than those with higher tumour cell contents (P = 0.03). Transcriptome analyses and RNA in‐situ hybridization indicated that infiltrating immune cells comprised a wide variety of cell types, including lymphocytes and myelocyte‐lineage cells. High expression of CD4 was significantly associated with good prognosis, whereas elevated nitric oxide synthase 2 was associated with poor prognosis. PD1 (PDCD1) was expressed by immune cells present in most germinomas (93.8%), and PD‐L1 (CD274) expression was found in tumour cells in the majority of germinomas examined (73.5%). Conclusions: The collective data strongly suggest that infiltrating immune cells play an important role in predicting treatment response. Further investigation should lead to additional categorization of germinoma to safely reduce treatment intensity depending on tumour/immune cell balance and to develop possible future immunotherapies. [ABSTRACT FROM AUTHOR]

Published
2020
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47. Lagrangian Decomposition Algorithm for Allocating Marketing Channels

Author

Hatano, D., Takuro Fukunaga, Maehara, T., and Kawarabayashi, K. -I

Subjects
General Medicine
Abstract

In this paper, we formulate a new problem related to the well-known influence maximization in the context of computational advertising. Our new problem considers allocating marketing channels (e.g., TV, newspaper, and websites) to advertisers from the view point of a match maker, which was not taken into account in previous studies on the influence maximization. The objective of the problem is to find an allocation such that each advertiser can influence some given number of customers while the slots of marketing channels are limited. We propose an algorithm based on the Lagrangian decomposition. We empirically show that our algorithm computes better quality solutions than existing algorithms, scales up to graphs of 10M vertices, and performs well particularly in a parallel environment.

Published
2015

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