scispace - formally typeset
Search or ask a question
Institution

Kyoto University

EducationKyoto, Japan
About: Kyoto University is a education organization based out in Kyoto, Japan. It is known for research contribution in the topics: Catalysis & Population. The organization has 85837 authors who have published 217215 publications receiving 6526826 citations. The organization is also known as: Kyōto University & Kyōto daigaku.
Topics: Catalysis, Population, Gene, Transplantation, Ion


Papers
More filters
Journal ArticleDOI
TL;DR: Naturally arising CD25+CD4+ regulatory T cells actively maintain immunological self-tolerance, and are a good target for designing ways to induce or abrogate immunological tolerance to self and non-self antigens.
Abstract: Naturally arising CD25+CD4+ regulatory T cells actively maintain immunological self-tolerance. Deficiency in or dysfunction of these cells can be a cause of autoimmune disease. A reduction in their number or function can also elicit tumor immunity, whereas their antigen-specific population expansion can establish transplantation tolerance. They are therefore a good target for designing ways to induce or abrogate immunological tolerance to self and non-self antigens.

2,683 citations

Proceedings Article
Marco Cuturi1
05 Dec 2013
TL;DR: This work smooths the classic optimal transport problem with an entropic regularization term, and shows that the resulting optimum is also a distance which can be computed through Sinkhorn's matrix scaling algorithm at a speed that is several orders of magnitude faster than that of transport solvers.
Abstract: Optimal transport distances are a fundamental family of distances for probability measures and histograms of features. Despite their appealing theoretical properties, excellent performance in retrieval tasks and intuitive formulation, their computation involves the resolution of a linear program whose cost can quickly become prohibitive whenever the size of the support of these measures or the histograms' dimension exceeds a few hundred. We propose in this work a new family of optimal transport distances that look at transport problems from a maximum-entropy perspective. We smooth the classic optimal transport problem with an entropic regularization term, and show that the resulting optimum is also a distance which can be computed through Sinkhorn's matrix scaling algorithm at a speed that is several orders of magnitude faster than that of transport solvers. We also show that this regularized distance improves upon classic optimal transport distances on the MNIST classification problem.

2,681 citations

Journal ArticleDOI
TL;DR: The results show that MMP-9 is a component of theAngiogenic switch, and MMP inhibitors reduce angiogenic switching, and tumour number and growth, as does genetic ablation of M MP-9.
Abstract: During carcinogenesis of pancreatic islets in transgenic mice, an angiogenic switch activates the quiescent vasculature Paradoxically, vascular endothelial growth factor (VEGF) and its receptors are expressed constitutively Nevertheless, a synthetic inhibitor (SU5416) of VEGF signalling impairs angiogenic switching and tumour growth Two metalloproteinases, MMP-2/gelatinase-A and MMP-9/gelatinase-B, are upregulated in angiogenic lesions MMP-9 can render normal islets angiogenic, releasing VEGF MMP inhibitors reduce angiogenic switching, and tumour number and growth, as does genetic ablation of MMP-9 Absence of MMP-2 does not impair induction of angiogenesis, but retards tumour growth, whereas lack of urokinase has no effect Our results show that MMP-9 is a component of the angiogenic switch

2,657 citations

Proceedings Article
15 Feb 2018
TL;DR: In this paper, the authors proposed a novel weight normalization technique called spectral normalization to stabilize the training of the discriminator, which is computationally light and easy to incorporate into existing implementations.
Abstract: One of the challenges in the study of generative adversarial networks is the instability of its training. In this paper, we propose a novel weight normalization technique called spectral normalization to stabilize the training of the discriminator. Our new normalization technique is computationally light and easy to incorporate into existing implementations. We tested the efficacy of spectral normalization on CIFAR10, STL-10, and ILSVRC2012 dataset, and we experimentally confirmed that spectrally normalized GANs (SN-GANs) is capable of generating images of better or equal quality relative to the previous training stabilization techniques.

2,640 citations

Journal ArticleDOI
TL;DR: The supercapacitor, the electric double-layer capacitor, and the so-called "reduction and oxidation, redox" technology are all being developed.
Abstract: 슈퍼캐패시터(supercapacitor)는 배터리와 함께 많은 양의 전기에너지를 저장 및 공급하 는 중요한 에너지 저장 장치이다. 특히 슈퍼캐 패시터는 고출력이 가능하고 크기와 형태가 조절가능하여 전자기기 부터 자동차 까지 그 사용분야가 매우 넓다 [1-3]. 최근에 웨어러블 (wearable) 디바이스와 플렉서블(flexible) 전 자기기의 발달과 함께 구부릴 수 있고, 당길 수 있는(stretchable) 슈퍼캐패시터의 개발 또한 활발히 진행되고 있다 [4-8]. 슈퍼캐패시터의 작동원리에 따라 전기이중층 캐패시터(electric double-layer capacitor, EDLC)와 의사캐패시터 (pseudocapacitor)로 나뉜다. EDLC는 전하분 리현상을 이용하기 때문에 넓은 표면적을 갖 는 활성탄(activated carbon)과 같은 전극 재료 를 사용하며 의사캐패시터는 전극 재료의 산 화·환원반응(reduction and oxidation, redox) 을 이용하므로 redox반응을 잘 일으키면서 넓 은 표면적을 갖는 전도성 고분자와 금속산화 물 등의 전극 재료를 사용하게된다 [9]. 슈퍼캐 패시터의 전극 재료로서 높은 에너지 저장능 력 및 성능을 갖으려면, 일반적으로 높은 표면 적을 갖도록 해야하며, 슈퍼캐패시터의 성능 은 전극 활물질의 모폴로지(morphology), 기 공크기분포(pore size distribution), 전기전도 도(electrical conductivity), 표면 특성, 열 특성 등의 다양한 성질에 의해 결정되며, 이를 최적 화 했을 때 높은 성능의 슈퍼캐패시터의 제조 가 가능하다 [1]. 일반적으로 다공성 구조의 카 본 및 금속산화물을 만들기 위해서 그 재료의 전구체를 계면활성제(surfactant)를 이용하여 모폴러지 및 다공성을 조절하였다. 계면활성 제의 사용은 다양한 모양과 구조의 활물질제 조를 가능하게 하였지만, 많은 양의 계면활성 제의 사용은 시약의 가격, 후처리, 환경적인 측 면에서 단점을 가진다. 금속유기구조체(metal-organic frameworks, MOFs)는 금속이온과 유기물 연결체(organic linker)로 만들어진 조성물로서, 합성 시 이러한 추가적인 계면활성제의 사용없이 매우 높은 표 면적을 갖는 금속유기 조성물을 만들 수 있다 (그림 1). 이러한 MOF는 사용되는 금속이온, 유 기연결체, 결정구조 등에 따라 MOF-N, HKUSTN, ZIF-N 등 (N: number)으로 구분되어 명명된 다 (그림 1(b)) [10, 11] . 또한, 사용하는 금속이 온과 유기물 연결체의 종류에 따라 다공성 특 성을 조절할 수 있고, 이들의 열처리를 통해서 다공성 카본체 및 금속산화물의 제조가 가능하 다 [12]. 더욱이, MOF는 기존의 다양한 재료에 적용이 가능하여 다양한 에너지저장 재료로 만 들어 질 수 있으며, 나노기술 및 다양한 접근 방 법을 통해 나노구조체 및 조성물의 합성이 가 능하다 [13]. 이러한 장점으로 인해 최근 많은 종류의 MOF 물질들이 슈퍼캐패시터 및 2차전 지의 에너지 저장시스템(energy storage systems, ESSs) 에 응용되고 있다 (그림 2). MOF 중 이미다졸(imidazole) 유도체를 유기연결체로

2,635 citations


Authors

Showing all 86225 results

NameH-indexPapersCitations
Kari Alitalo174817114231
Ralph M. Steinman171453121518
Masayuki Yamamoto1711576123028
Karl Deisseroth160556101487
Kenji Kangawa1531117110059
Takashi Taniguchi1522141110658
Ben Zhong Tang1492007116294
Takeo Kanade147799103237
Yuji Matsuzawa143836116711
Tasuku Honjo14171288428
Kenneth M. Yamada13944672136
Y. B. Hsiung138125894278
Shuh Narumiya13759570183
Kevin P. Campbell13752160854
Junji Tojo13587884615
Network Information
Related Institutions (5)
University of Tokyo
337.5K papers, 10.1M citations

99% related

Nagoya University
128.2K papers, 3.2M citations

99% related

Osaka University
185.6K papers, 5.1M citations

97% related

University of Tsukuba
79.4K papers, 1.9M citations

97% related

Hokkaido University
115.4K papers, 2.6M citations

97% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023234
2022679
20218,533
20208,740
20198,050
20187,932