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Motoki Shiga

Researcher at Gifu University

Publications -  172
Citations -  2792

Motoki Shiga is an academic researcher from Gifu University. The author has contributed to research in topics: Antiferromagnetism & Magnetization. The author has an hindex of 26, co-authored 168 publications receiving 2502 citations. Previous affiliations of Motoki Shiga include Osaka University & Hokkaido University.

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Magnetism and spin fluctuations of laves phase manganese compounds

TL;DR: In this paper, the conditions for the onset of Mn moments and the type of spin fluctuations of the Mn sublattice are discussed, and it is shown that the Mn moments, if they exist, are unstable and easily collapse on raising the temperature or on substituting R or Mn by a third element with a smaller atomic volume.
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Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

Justin Guinney, +176 more
- 01 Jan 2017 - 
TL;DR: 50 independent methods were developed to predict overall survival and were evaluated through the DREAM challenge, and the top performer was based on an ensemble of penalised Cox regression models (ePCR), which uniquely identified predictive interaction effects with immune biomarkers and markers of hepatic and renal function.
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Strong antiferromagnetic spin fluctuations and the quantum spin-liquid state in geometrically frustrated -Mn, and the transition to a spin-glass state caused by non-magnetic impurity

TL;DR: In this article, the magnetic properties of -Mn and the effect of the substitution of non-magnetic Al were systematically investigated by measuring thermodynamic and transport properties, and the NMR and polarized neutron scattering for alloys with-Mn is paramagnetic down to the lowest temperature (1.4 K).
Proceedings ArticleDOI

A spectral clustering approach to optimally combining numericalvectors with a modular network

TL;DR: A new clustering method is proposed which integrates thecost of clustering numerical vectors with the cost of maximizing the normalized network modularity into a spectral relaxation problem and is effective enough to have good results for clustering by numerical vectors and a network.
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Magnetocaloric effects of Laves phase Er(Co1−xNix)2 compounds

TL;DR: In this article, the magnetocaloric effect of ErCo2 and Co1−xNix polycrystalline samples with x ≥ 0.10 was studied by means of specific heat measurements and magnetization measurements.