18 research outputs found
How Yogo Teachers of attached schools get involved in student teaching
子どもの多様な健康課題に対応して,学校における安全・安心な環境の確保や子どもの心身の健康を守り,は
ぐくむことのできる体制構築が求められる今日,教育実習等においては,実習生を学校保健に対する関心・理解
を高め,子どもの健康・安全な学校生活を考慮した教育活動を展開できる教員として育成することが重要となる。
そこで,教育実習等の機会に附属学校園養護教諭が,学校保健活動を遂行できる教員養成を目的とした講義・演
習を実施した。その結果,実習生は学校保健に対する認識を高めることができた。附属学校園養護教諭が教員養
成に積極的に参画することは,学校保健活動を遂行できる教員養成に果たす役割が大きいといえる
L0 regularization-based compressed sensing with quantum-classical hybrid approach
L0-regularization-based compressed sensing (L0-RBCS) has the potential to
outperform L1-regularization-based compressed sensing (L1-RBCS), but the
optimization in L0-RBCS is difficult because it is a combinatorial optimization
problem. To perform optimization in L0-RBCS, we propose a quantum-classical
hybrid system consisting of a quantum machine and a classical digital
processor. The coherent Ising machine (CIM) is a suitable quantum machine for
this system because this optimization problem can only be solved with a densely
connected network. To evaluate the performance of the CIM-classical hybrid
system theoretically, a truncated Wigner stochastic differential equation
(W-SDE) is obtained from the master equation for the density operator of the
network of degenerate optical parametric oscillators, and macroscopic equations
are derived by applying statistical mechanics to the W-SDE. We show that the
system performance in principle approaches the theoretical limit of compressed
sensing and this hybrid system may exceed the estimation accuracy of L1-RBCS in
actual situations, such as magnetic resonance imaging data analysis.Comment: 35 pages, 9 figure
Effective implementation of l 0 -regularised compressed sensing with chaotic-amplitude-controlled coherent Ising machines
Abstract Coherent Ising machine (CIM) is a network of optical parametric oscillators that can solve large-scale combinatorial optimisation problems by finding the ground state of an Ising Hamiltonian. As a practical application of CIM, Aonishi et al., proposed a quantum-classical hybrid system to solve optimisation problems of l 0 -regularisation-based compressed sensing. In the hybrid system, the CIM was an open-loop system without an amplitude control feedback loop. In this case, the hybrid system is enhanced by using a closed-loop CIM to achieve chaotic behaviour around the target amplitude, which would enable escaping from local minima in the energy landscape. Both artificial and magnetic resonance image data were used for the testing of our proposed closed-loop system. Compared with the open-loop system, the results of this study demonstrate an improved degree of accuracy and a wider range of effectiveness
Dataset for: Urate transport function of rat sodium-dependent nucleobase transporter 1
Sodium-dependent nucleobase transporter 1 (SNBT1) is a nucleobase-specific transporter identified in our recent study. In an attempt to search for its potential substrates other than nucleobases in the present study, we could successfully find urate, a metabolic derivative of purine nucleobases, as a novel substrate, as indicated by its specific Na<sup>+</sup>-dependent and saturable transport, with a Michaelis constant of 433 μM, by rat SNBT1 (rSNBT1) stably expressed in Madin-Darby canine kidney II cells. However, urate uptake was observed only barely in the everted tissue sacs of the rat small intestine, in which rSNBT1 operates for nucleobase uptake. These findings suggested that urate undergoes a futile cycle, in which urate transported into epithelial cells is immediately effluxed back by urate efflux transporters, in the small intestine. In subsequent attempts to examine that possibility, such a futile urate cycle was demonstrated in the human embryonic kidney 293 cell line as a model cell system, where urate uptake induced by transiently introduced rSNBT1 was extensively reduced by the co-introduction of rat breast cancer resistance protein (rBCRP), a urate efflux transporter present in the small intestine. However, urate uptake was not raised in the presence of Ko143, a BCRP inhibitor, in the everted intestinal tissue sacs, suggesting that some other transporter might also be involved in urate efflux. The newly found urate transport function of SNBT1, together with the suggested futile urate cycle in the small intestine, should be of interest for its evolutional and biological implications, although SNBT1 is genetically deficient in humans