scispace - formally typeset
Search or ask a question
Institution

Tohoku University

EducationSendai, Japan
About: Tohoku University is a education organization based out in Sendai, Japan. It is known for research contribution in the topics: Magnetization & Population. The organization has 72116 authors who have published 170791 publications receiving 3941714 citations. The organization is also known as: Tōhoku daigaku.


Papers
More filters
Journal ArticleDOI
TL;DR: Analysis of rat L6 myotubes treated with the PPARδ subtype-selective agonist, GW501516, by the Affymetrix oligonucleotide microarrays revealed that PPAR Δ is pivotal to control the program for fatty acid oxidation in the skeletal muscle, thereby ameliorating obesity and insulin resistance through its activation in obese animals.
Abstract: In this study, we defined the role of peroxisome proliferator-activated receptor beta/delta (PPARdelta) in metabolic homeostasis by using subtype selective agonists. Analysis of rat L6 myotubes treated with the PPARdelta subtype-selective agonist, GW501516, by the Affymetrix oligonucleotide microarrays revealed that PPARdelta controls fatty acid oxidation by regulating genes involved in fatty acid transport, beta-oxidation, and mitochondrial respiration. Similar PPARdelta-mediated gene activation was observed in the skeletal muscle of GW501516-treated mice. Accordingly, GW501516 treatment induced fatty acid beta-oxidation in L6 myotubes as well as in mouse skeletal muscles. Administration of GW501516 to mice fed a high-fat diet ameliorated diet-induced obesity and insulin resistance, an effect accompanied by enhanced metabolic rate and fatty acid beta-oxidation, proliferation of mitochondria, and a marked reduction of lipid droplets in skeletal muscles. Despite a modest body weight change relative to vehicle-treated mice, GW501516 treatment also markedly improved diabetes as revealed by the decrease in plasma glucose and blood insulin levels in genetically obese ob/ob mice. These data suggest that PPARdelta is pivotal to control the program for fatty acid oxidation in the skeletal muscle, thereby ameliorating obesity and insulin resistance through its activation in obese animals.

807 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, M. R. Abernathy3  +1135 moreInstitutions (139)
TL;DR: In this article, the authors present possible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next decade, with the intention of providing information to the astronomy community to facilitate planning for multi-messenger astronomy with gravitational waves.
Abstract: We present possible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next decade, with the intention of providing information to the astronomy community to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals, and study the capability of the network to determine the sky location of the source. We report our findings for gravitational-wave transients, with particular focus on gravitational-wave signals from the inspiral of binary neutron star systems, which are the most promising targets for multi-messenger astronomy. The ability to localize the sources of the detected signals depends on the geographical distribution of the detectors and their relative sensitivity, and 90% credible regions can be as large as thousands of square degrees when only two sensitive detectors are operational. Determining the sky position of a significant fraction of detected signals to areas of 5– 20 deg2 requires at least three detectors of sensitivity within a factor of ∼2 of each other and with a broad frequency bandwidth. When all detectors, including KAGRA and the third LIGO detector in India, reach design sensitivity, a significant fraction of gravitational-wave signals will be localized to a few square degrees by gravitational-wave observations alone.

804 citations

Journal ArticleDOI
23 Nov 2000-Nature
TL;DR: High-resolution details of cage and pore structures of periodically ordered mesoporous materials are reported, which reveal a highly ordered dual micro- and mesoscale pore structure.
Abstract: Mesostructured composite materials, with features ranging from 20 to 500 A in size, are obtained by the kinetically controlled competitive assembly of organic and inorganic species into nanostructured domains. Short-range order is limited, and long-range order is determined by weak forces such as van der Waals or hydrogen-bonding. Three-dimensional mesoporous materials obtained by removing the organic phase are of particular interest for applications such as catalysis and chemical sensing or separation, for which structural features such as cavity shape, connectivity and ordered bimodal porosity are critical. But atomic-scale structural characterization by the usual diffraction techniques is challenging for these partially ordered materials because of the difficulty in obtaining large (> 10 microm) single crystals, and because large repeat spacings cause diffraction intensities to fall off rapidly with scattering angle so that only limited small-angle data are available. Here we present a general approach for the direct determination of three-dimensional mesoporous structures by electron microscopy. The structure solutions are obtained uniquely without pre-assumed models or parametrization. We report high-resolution details of cage and pore structures of periodically ordered mesoporous materials, which reveal a highly ordered dual micro- and mesoscale pore structure.

802 citations

Journal ArticleDOI
TL;DR: Simulation of the differential adhesion driven rearrangement of biological cells shows that self-organization due to few basic cell properties alone are enough to explain a number of biological phenomena.
Abstract: We show that differential adhesion with fluctuations is sufficient to explain a wide variety of cell re- arrangement, by using the extended large-Q Potts model with differential adhesivity to simulate different biological phenomena. Different values of relative surface energies correspond to different biological cases, including complete and partial cell sorting, checkerboard, position reversal, and dispersal. We examine the convergence and temperature dependence of the simulation and distinguish spontaneous, neutral, and activated processes by performing simulations at different temperatures. We discuss the biological and physical implications of our quantitative results.

800 citations

Journal ArticleDOI
TL;DR: The tight-binding model is used to describe optical and transport properties including the integer quantum Hall effect, and the also discusses orbital magnetism, phonons and the influence of strain on electronic properties.
Abstract: We review the electronic properties of bilayer graphene, beginning with a description of the tight-binding model of bilayer graphene and the derivation of the effective Hamiltonian describing massive chiral quasiparticles in two parabolic bands at low energies. We take into account five tight-binding parameters of the Slonczewski–Weiss–McClure model of bulk graphite plus intra- and interlayer asymmetry between atomic sites which induce band gaps in the low-energy spectrum. The Hartree model of screening and band-gap opening due to interlayer asymmetry in the presence of external gates is presented. The tight-binding model is used to describe optical and transport properties including the integer quantum Hall effect, and we also discuss orbital magnetism, phonons and the influence of strain on electronic properties. We conclude with an overview of electronic interaction effects.

797 citations


Authors

Showing all 72477 results

NameH-indexPapersCitations
John Q. Trojanowski2261467213948
Aaron R. Folsom1811118134044
Marc G. Caron17367499802
Masayuki Yamamoto1711576123028
Kenji Watanabe1672359129337
Rodney S. Ruoff164666194902
Frederik Barkhof1541449104982
Takashi Taniguchi1522141110658
Yoshio Bando147123480883
Thomas P. Russell141101280055
Ali Khademhosseini14088776430
Marco Colonna13951271166
David H. Barlow13378672730
Lin Gu13086856157
Yoichiro Iwakura12970564041
Network Information
Related Institutions (5)
Osaka University
185.6K papers, 5.1M citations

97% related

Nagoya University
128.2K papers, 3.2M citations

97% related

University of Tokyo
337.5K papers, 10.1M citations

97% related

Hokkaido University
115.4K papers, 2.6M citations

96% related

Kyoto University
217.2K papers, 6.5M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023162
2022754
20216,412
20206,426
20196,076
20185,898