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    索菲亚大学

    Sophia University
    院校EST. 1913
    1.2万论文总数
    16.3万引用总数

    论文量&引用量时间轴

    机构学者

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    Tielong Shen
    Tielong Shen
    Sophia University
    论文:381引用:0H-index:0
    Peter Milward
    Peter Milward
    English Literature, Univ Sophia
    论文:289引用:0H-index:0
    Naoya Ogata
    Naoya Ogata
    Chitose Institute of Science and Technology
    论文:286引用:0H-index:0
    Katsumi Kishino
    Katsumi Kishino
    Faculty of Science and Technology, Sophia University
    论文:272引用:0H-index:0
    Takayuki Arai
    Takayuki Arai
    Dept Elect & Elect Engn, Sophia Univ
    论文:184引用:0H-index:0
    Kohei Sanui
    Kohei Sanui
    Department of Chemistry, Sophia University
    论文:180引用:0H-index:0
    Akihiko Kikuchi
    Akihiko Kikuchi
    Department of Materials Science and Technology, Faculty of Industrial Science and Technology, Tokyo University of Science
    论文:136引用:0H-index:0
    Masahiro Rikukawa
    Masahiro Rikukawa
    Department of Materials and Life Science Engineering, Sophia University
    论文:128引用:0H-index:0
    Kiyoshi Itatani
    Kiyoshi Itatani
    Department of Materials and Life Sciences, Sophia University
    论文:115引用:0H-index:0

    论文(10000)

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    1Characterization of the Unit Object in Localized Quantum Unipotent Category
    Koh Matsuura,Toshiki Nakashima

    For the quiver Hecke algebra R, let R-gmod be the category of finite-dimensional graded R-modules, and let R-gmod˜[w] be the localization of R-gmod. Kashiwara and the second author showed the set of equivalence classes of simple objects up to grading shifts Irr(R-gmod˜[w]) in R-gmod˜[w] has a crystal structure, and Irr(R-gmod˜[w]) is isomorphic to the so-called cellular crystal Bi. This isomorphism induces a function εi⁎ on Bi. We give an explicit formula for εi⁎, and use it to characterize the unit object of R-gmod˜[w0] for the case of classical finite types.

    2027Journal of Algebra(2027)
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    2Promoting Methane Reductions Through Behavioural Nudges and Informational Boosts: A Field Choice Experiment in Japanese Rice Farming
    Shengyi Du,Katsuya Tanaka, Hiroki Sasaki, Tetsuya Horie, Shinya Horie

    Agricultural methane emissions represent a significant contributor to global climate change, with irrigated rice cultivation being one of the primary sources. Despite the availability of effective mitigation technologies, their adoption often remains limited due to behavioural and institutional constraints. Water management practice that extends drainage periods during cultivation can curb methane emissions from irrigated rice at low cost, yet uptake among Japanese farmers remains modest. We surveyed 2219 rice producers in Shiga Prefecture using a labelled choice experiment that embedded two behavioural nudges (social norm and loss aversion) and one informational boost (knowledge enhancement), presented with or without a reminder. Farmers most favoured a 7-day drainage extension. Social-norm messages did not robustly shift adoption intentions, but loss-aversion and knowledge enhancement paired with reminders increased the probability of choosing water management practice by 5-10 percentage points, particularly when financial incentives were modest. The added value of nudges and boosts faded once subsidies approached prevailing ceiling levels, suggesting diminishing marginal returns to stacking instruments. These findings suggest that timely, low-cost behavioural interventions can effectively complement agri-environmental payments in resource-constrained settings, providing a scalable and context-sensitive strategy to accelerate the adoption of climate-smart rice practices.

    2026JOURNAL OF AGRICULTURAL ECONOMICS(2026)引用:70
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    3Synthesis of an O,N,O-C Multidentate Ligand Bearing an N-Heterocyclic Carbene Towards Heterobimetallic Complexes
    Noriyuki Suzuki, Muneyasu Hara, Yuxuan Gao,Yumiko Suzuki

    A novel multidentate ligand with an O,N,O-tridentate ligand moiety and an N-heterocyclic carbene (NHC) was synthesized. Its palladium complex, in which the NHC part coordinates to the palladium atom, was synthesized and structurally characterized. The O,N,O-part coordinated to an early transition metal such as titanium. The Ti-Pd heterobimetallic complex was observed in solution.

    2026COMPOUNDS(2026)引用:44
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    4Optical Properties of Two-Dimensional Organic-Inorganic Perovskite Material (c12h25nh3)2pbi4 Incorporating Fullerene Derivatives in Organic Barrier Layers
    Naoki Shimosako, Miho Inomata, Kentaro Kikuchi,Masahiro Rikukawa,Yuko Takeoka,Hideyuki Kunugita,Kazuhiro Ema

    We investigated the optical properties of a lead-iodide 2D perovskite, ( C 12 H 25 N H 3 ) 2 P b I 4 , incorporating a fullerene derivative in its organic barrier layers. The observation of distinct exciton peaks confirmed that the 2D layered structure was maintained even after fullerene intercalation. Furthermore, time-resolved photoluminescence measurements showed that the exciton lifetime shortened with increasing fullerene content. This reduction in lifetime suggests the possibility that the intercalated fullerenes extract electrons from the inorganic quantum wells. These findings provide useful insights for the design of functional perovskite optoelectronic materials.

    2026JOURNAL OF PHYSICAL CHEMISTRY C(2026)引用:38
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    5Machine Learning Prediction of Photonic Bandgaps in Visible GaN Topological Photonic Crystals
    Hinaki Sugiura,Akihiko Kikuchi

    Topological photonic crystals (PhCs) enable robust, unidirectional light propagation that is insensitive to sharp bends and structural defects. The photonic bandgap wavelength strongly depends on structural parameters and is typically evaluated using computationally intensive three-dimensional finite-difference time-domain (3D-FDTD) simulations. We investigate a quantum spin Hall-type GaN visible membrane topological PhC with a modulated honeycomb lattice and analyze how the overlap between the bandgap at the Gamma point and the Gamma-M band influences edge-mode propagation. We show that the presence of edge modes is closely related to the formation of a global bandgap (GBG). To accelerate bandgap prediction, we develop a machine-learning model that uses geometric parameters as inputs and the GBG wavelength as the output, trained on a dataset generated by 3D-FDTD simulations. A linear regression model with nonlinear terms achieves high accuracy and agrees well with experimental results, and we provide design guidelines for shortening the GBG wavelength for visible-light devices.

    2026JAPANESE JOURNAL OF APPLIED PHYSICS(2026)引用:33
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    合作机构(100)

    东京大学合作论文 477
    东北大学(日本)合作论文 374
    东京工业大学合作论文 309
    日本理化学研究所合作论文 186
    京都大学合作论文 158
    早稻田大学合作论文 137
    大阪大学合作论文 134
    庆应义塾大学合作论文 97
    静冈県立大学合作论文 81
    九州大学合作论文 79

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