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Cover Picture: Circularly Polarized Luminescence Active Supramolecular Nanotubes Based on PtIIComplexes That Undergo Dynamic Morphological Transformation and Helicity Inversion (Angew. Chem. Int. Ed. 38/2022)

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Angewandte Chemie International Edition 2022年第38期61卷

作者： Seok Gyu Kang Dr. Ka Young Kim Yumi Cho Dong Yeun Jeong Prof. Ji Ha Lee Prof. Tomoki Nishimura Prof. Shim Sung Lee Prof. Sang Kyu Kwak Prof. Youngmin You Prof. Jong Hwa Jung Department of Chemistry and Research Institution of Natural Sciences Gyeongsang National University (GNU) Jinju 52828 Republic of Korea Department of Energy Enginerring School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan 44919 Republic of Korea Division of Chemical Engineering and Materials Science Graduate Program in System Health Science and Engineering Ewha Womans University Seoul 03760 Republic of Korea Chemical Engineering Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima 739-8527 Japan Department of Chemistry and Materials Faculty of Textile Science and Technology Shinshu University Nagano 386-8567 Japan

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A polarization-insensitive fishnet/spacer/mirror plasmonic absorber for hot electron photodetection application

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Chinese Optics Letters 2020年第5期18卷 63-67页

作者： Zhiqiang Yang Kang Du Wending Zhang Soojin Chua Ting Mei Key Laboratory of Space Applied Physics and Chemistry Ministry of Educationand Shaanxi Key Labora tory of Optical Information TechnologySchool of ScienceNorth Western Polytechnical UniversityXi'an 710072China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore LEES Program Singapore-MIT Alliance for Research&Technology(SMART)Singapore 138602Singapore

A polarization-insensitive plasmonic absorber is designed consisting of Au fishnet structures on a TiO2 spacer/Ag mirror. The fishnet structures excite localized surface plasmon and generate hot electrons from the absorbed photons, while the TiO2 layer induces Fabry–Perot resonance, and the Ag mirror acts as a back *** optimizing the TiO2 layer thickness, numerical simulation shows that 97% of the incident light is absorbed in the Au layer. The maximum responsivity and external quantum efficiency of the device can approach 5 mA/W and ~1%, respectively, at the wavelength of 700 nm.

关键词： plasmonic absorber Fabry–Perot resonance internal photoemission surface plasmon

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Optimization and Computing Model of Fish Resource Supply Chain Distribution Network

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Journal of Physics: Conference Series 2021年第1期1898卷

作者： Nurdin M Zarlis Tulus S Efendi Graduate Program of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia. Department of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia. Department of Mathematics Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sumatera Utara Medan Indonesia.

Aceh is a province that is rich in fishery resource potential. Fish resources become one of the leading commodities, therefore we need a supply chain optimization model. Optimization is one of the technologies widely used in supply chain network management. Fish resource supply chain becomes very important because it is caused by several factors, including the diversity of types of products from fish resources and their short expiry. The steps used in this research is literature review, determine parameters and decision variables, formulate the objective function and constraint function, modeling and model implementation. The purpose of this research is to get an optimization model in planning and managing the fish resource supply chain by using mixed integer linear programming, so that the resulting model can solve problems in the limitations of fish resources in certain areas, can distribute all consumer demand quickly. This new model can minimize transportation costs to suppliers, minimize transportation costs from suppliers to distribution centers and minimize transportation costs from distribution centers to consumers, and minimize product inventory costs to suppliers and to distribution centers.

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Titelbild: Circularly Polarized Luminescence Active Supramolecular Nanotubes Based on PtIIComplexes That Undergo Dynamic Morphological Transformation and Helicity Inversion (Angew. Chem. 38/2022)

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Angewandte Chemie 2022年第38期134卷

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Image Size, Color Depth, Age variant on Convolution Neural Network 1

Image Size, Color Depth, Age variant on Convolution Neural N...

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1st Indonesian Association for Pattern Recognition International Conference, INAPR 2018

作者： Pranoto, Hady Budiharto, Widodo Hendric Spits Warnars, Harco Leslie Matsuo, Tokuro Heryadi, Yaya Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Graduate School of Industrial Technology Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (纸本)9781538694220

Facial recognition as of biometric authentication used in the field of security, military, finance and daily use is become a trend or famous, because of its natural and not intrusive nature. Many methods for face recognition such as holistic learning, the use of local features, shallow learning and deep learning, some methods are susceptible to variations in pose change, illumination, expression and age variation. State of the art of face recognition today is a deep learning technique that delivers high accuracy. In this paper author replicate an face recognition using deep learning architecture called OpenFace Convolutional Neural Network. In this research author make variation on the size of image, color dept and age, and see how that factor impact on accuracy of face recognition in that architecture. As the result from the research, the accuracy of a model depends on the image size, color depth, and age variation, but in OpenFace CNN that recognition still provides fairly good accuracy when reducing the size of image and color depth, as long as the image can still be detected on the landmark facial, so the alignment process can be done on the face image. © 2018 IEEE.

关键词： Face recognition

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The ALMA Survey of 70 μm Dark High-mass Clumps in Early Stages (ASHES). X. Hot Gas Reveals Deeply Embedded Star Formation

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Astrophysical Journal 2024年第2期963卷 163-163页

作者： Izumi, Natsuko Sanhueza, Patricio Koch, Patrick M. Lu, Xing Li, Shanghuo Sabatini, Giovanni Olguin, Fernando A. Zhang, Qizhou Nakamura, Fumitaka Tatematsu, Ken’ichi Morii, Kaho Sakai, Takeshi Tafoya, Daniel Institute of Astronomy and Astrophysics Academia Sinica No. 1 Section 2 Roosevelt Road Taipei 10617 Taiwan National Astronomical Observatory of Japan National Institutes of Natural Sciences 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Astronomical Science Program The Graduate University for Advanced Studies SOKENDAI 2-21-1 Osawa Mitaka Tokyo 181-8588 Japan Shanghai Astronomical Observatory Chinese Academy of Sciences 80 Nandan Road Shanghai 200030 China Max Planck Institute for Astronomy Konigstuhl 17 Heidelberg D-69117 Germany INAF Osservatorio Astrofisico di Arcetri Largo E. Fermi 5 Firenze I-50125 Italy Institute of Astronomy National Tsing Hua University Hsinchu 30013 Taiwan Center for Astrophysics Harvard & Smithsonian 60 Garden Street Cambridge 02138 MA United States Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Graduate School of Informatics and Engineering The University of Electro-Communications Chofu Tokyo 182-8585 Japan Department of Space Earth and Environment Chalmers University of Technology Onsala Space Observatory Onsala SE-439 92 Sweden

Massive infrared dark clouds (IRDCs) are considered to host the earliest stages of high-mass star formation. In particular, 70 μm dark IRDCs are the colder and more quiescent clouds. At a scale of about 5000 au using formaldehyde (H₂CO) emission, we investigate the kinetic temperature of dense cores in 12 IRDCs obtained from the pilot Atacama Large Millimeter/submillimeter Array Survey of 70 μm dark High-mass clumps in Early Stages (ASHES). Compared to the 1.3 mm dust continuum and other molecular lines, such as C¹⁸O and deuterated species, we find that H₂CO is mainly sensitive to low-velocity outflow components rather than to quiescent gas expected in the early phases of star formation. The kinetic temperatures of these components range from 26 to 300 K. The Mach number reaches about 15 with an average value of about 4, suggesting that the velocity distribution of gas traced by H₂CO is significantly influenced by a supersonic nonthermal component. In addition, we detect warm line emission from HC₃N and OCS in 14 protostellar cores, which requires high excitation temperatures (E _u/k ∼ 100 K). These results show that some of the embedded cores in the ASHES fields are in an advanced evolutionary stage, previously unexpected for 70 μm dark IRDCs. © 2024. The Author(s). Published by the American Astronomical Society.

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Circularly Polarized Luminescence Active Supramolecular Nanotubes Based on PtIIComplexes That Undergo Dynamic Morphological Transformation and Helicity Inversion

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Angewandte Chemie 2022年第38期134卷

Circularly polarized luminescence (CPL) with tunable chirality is currently a challenging issue in the development of supramolecular nanomaterials. We herein report the formation of helical nanoribbons which grow into helical tubes through dynamic helicity inversion. For this, chiral Pt II complexes of terpyridine derivatives, namely S - trans - 1 and R - trans - 1 , with respective S - and R -alanine subunits and incorporating trans -double bonds in the alkyl chain were prepared. In DMSO/H 2 O (5 : 1 v / v ), S - trans - 1 initially forms a fibrous self-assembled product, which then undergoes dynamic transformation into helical tubes (left-handed or M -type) through helical ribbons (right-handed or P -type). Interestingly, both helical supramolecular architectures are capable of emitting CPL signals. The metastable helical ribbons show CPL signals ( g lum =±4.7×10 −2 ) at 570 nm. Meanwhile, the nanotubes, which are the thermodynamic products, show intense CPL signals ( g lum =±5.6×10 −2 ) at 610 nm accompanied by helicity inversion. This study provides an efficient way to develop highly dissymmetric CPL nanomaterials by regulating the morphology of metallosupramolecular architectures.

关键词： Circularly Polarized Luminescence Helicity Inversion Morphological Transformation PtII-Complex Supramolecular Nanotubes

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Basketball player’s value evaluation by a networks-based variant parameter hidden markov model

arXiv

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arXiv 2020年

作者： Du, Xin Cai, Weihong Liu, Jianquan Yu, Ding Xu, Kai Li, Wei Department of Computer Science College of Engineering Shantou University China Big Data Research Institute Tong Xing Technology Corporation China System Platform Research Laboratories NEC Corporation Japan Graduate School of Science and Engineering Hosei University Japan

Determining the value of basketball players through analyzing the players’ behavior is important for the managers of modern basketball teams. However, conventional methods always utilize isolated statistical data, leading to ineffective and inaccurate evaluations. Existing models based on dynamic network theory offer major improvements to the results of such evaluations, but said models remain imprecise because they focus merely on evaluating the values of individual players rather than considering them within their current teams. To solve this problem, we propose an analysis and evaluation model based on networks and a hidden Markov model. To the best of our knowledge, we are the first to combine a network form representing the players who are playing with the use of a hidden Markov model to mine the network and generate the desired results. Applying our approach to SportVU data collected from the National Basketball Association shows that this analysis and evaluation model can effectively analyze the performance of each player in a game and provides an assistive tool for team managers. Copyright © 2020, The Authors. All rights reserved.

关键词： Hidden Markov models

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On p-class groups of relative cyclic p-extensions

arXiv

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arXiv 2020年

作者： Mizusawa, Yasushi Yamamoto, Kota Department of Mathematics Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya466-8555 Japan Division of Mathematics and Mathematical Science Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya466-8555 Japan

We prove a general stability theorem for p-class groups of number fields along relative cyclic extensions of degree p2, which is a generalization of a finite-extension version of Fukuda's theorem by Li, Ouyang, Xu and Zhang. As an application, we give an example of pseudo-null Iwasawa module over a certain 2-adic Lie *** Codes 11R29, 11R23 Copyright © 2020, The Authors. All rights reserved.

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Machine Learning Reveals Lithology and Soil as Critical Parameters in Landslide Susceptibility for Petrópolis (Rio de Janeiro State, Brazil)

Natural Hazards Research

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Natural Hazards Research 2025年

作者： Enner Alcântara Cheila Flávia Baião Yasmim Carvalho Guimarães José Roberto Mantovani Jose Antonio Marengo Institute of Science and Technology São Paulo State University (Unesp) São José Dos Campos SP Brazil Graduate Program in Natural Disasters (Unesp/CEMADEN) São José Dos Campos SP Brazil National Center for Monitoring and Early Warning of Natural Disasters CEMADEN São José Dos Campos SP Brazil Graduate School of International Studies Korea University Seoul Korea

Petrópolis, located in the mountainous region of Rio de Janeiro, Brazil, is frequently impacted by severe landslides, exacerbated by intense rainfall, steep topography, and unregulated urban growth. This study employs machine learning to assess and predict landslide susceptibility, integrating geological, hydrological, and anthropogenic factors. Five models—Random Forest, CatBoost, Support Vector Machine, Artificial Artificial Neural Network (ANN), and XGBoost—were evaluated, with CatBoost emerging as the optimal model (F1-score: 0.82; AUC-ROC: 0.88). Variable importance analysis revealed soil type and erodibility as critical soil parameters influencing susceptibility, alongside lithology, underscoring the significance of geological over purely topographic factors. These findings emphasize the utility of machine learning for landslide modeling, providing scalable methodologies applicable to similar geospatial risk assessments worldwide. Beyond local applications, this work offers actionable insights for urban planning and disaster risk management in mountainous urban regions.

关键词： Landslide susceptibility machine learning CatBoost transferable methodology urban risk management geospatial analysis

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