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Back Cover: Robust, Ultrafast and Reversible Photoswitching in Bulk Polymers Enabled by Octupolar Molecule Design (Angew. Chem. Int. Ed. 16/2024)

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Angewandte Chemie International Edition 2024年第16期63卷

作者： Long Fang Ziwei Lin Yang Zhang Bin Ye Jing Li Qishan Ran Xiaotong Wang Meijia Yang Prof. Zhongke Yuan Prof. Xiaofeng Lin Prof. Dingshan Yu Prof. Xudong Chen Prof. Quan Li Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education Key Laboratory of High Performance Polymer-based Composites of Guangdong Province GBRCE for Functional Molecular Engineering School of Chemistry Sun Yat-sen University Guangzhou 510006 China School of Computer Science and Engineering Sun Yat-sen University Guangzhou 510275 China Institute of Applied Physics and Materials Engineering University of Macau Taipa Macao SAR 999078 China School of Chemical Engineering and Light Industry Guangdong University of Technology Guangzhou 510006 China Guangdong Laboratory of Chemistry and Fine Chemical Industry Jieyang Center Jieyang 515200 China Institute of Advanced Materials and School of Chemistry and Chemical Engineering Southeast University Nanjing 211189 China Materials Science Graduate Program Kent State University Kent OH 44242 USA

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Chitosan as a feed additive: Its modulatory effect on methane emission and biohydrogenation under artificial rumen system

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IOP Conference Series: Materials science and Engineering 2021年第4期1098卷

作者： A Jayanegara R P Harahap S Suharti N Nahrowi Department of Nutrition and Feed Technology Faculty of Animal Science IPB University Bogor Indonesia Study Program of Nutrition and Feed Science Graduate School of IPB University Bogor Indonesia Study Program of Animal Science Faculty of Agriculture Tanjungpura University Pontianak Indonesia

This study aimed to determine the effects of chitosan addition on methane emission, fatty acid biohydrogenation and fermentation profile of rumen simulation technique (rusitec). Four studies reported chitosan use as a feed additive in the rusitec system were integrated into a database. Treatments were categorized into control (no chitosan addition) and chitosan addition at different levels. Various studies were treated as random effects whereas treatments were considered as fixed effects. Data were analyzed by using mixed model methodology. Significance was declared when P<0.05 and tendency was stated when P<0.1. Results showed that chitosan addition reduced methane emission in comparison to control by as much as 28% (P<0.05). Total volatile fatty acid concentration was not altered due to chitosan, but acetate proportion was decreased (P<0.05) while propionate proportion tended to elevate in the addition of chitosan (P<0.1). Chitosan did not influence ruminal pH, ammonia concentration and nutrient digestibility (organic matter, crude protein and neutral detergent fiber) of substrate. Proportions of vaccenic acid (P<0.01) and conjugated linoleic acid (P<0.001) were increased by the addition of chitosan. In conclusion, chitosan may provide beneficial effects in the rumen by mitigating methane emission and elevating fatty acids contributing to human health.

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Deep Classification of Epileptic Signals 40

Deep Classification of Epileptic Signals

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40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

作者： Ahmedt-Aristizabal, David Fookes, Clinton Nguyen, Kien Sridharan, Sridha Research Program School of Electrical Engineering Computer Science Queensland University of Technology Australia

ISBN: (纸本)9781538636466

Electrophysiological observation plays a major role in epilepsy evaluation. However, human interpretation of brain signals is subjective and prone to misdiagnosis. Automating this process, especially seizure detection relying on scalpbased Electroencephalography (EEG) and intracranial EEG, has been the focus of research over recent decades. Nevertheless, its numerous challenges have inhibited a definitive solution. Inspired by recent advances in deep learning, here we describe a new classification approach for EEG time series based on Recurrent Neural Networks (RNNs) via the use of Long- Short Term Memory (LSTM) networks. The proposed deep network effectively learns and models discriminative temporal patterns from EEG sequential data. Especially, the features are automatically discovered from the raw EEG data without any pre-processing step, eliminating humans from laborious feature design task. Our light-weight system has a low computational complexity and reduced memory requirement for large training datasets. On a public dataset, a multi-fold cross-validation scheme of the proposed architecture exhibited an average validation accuracy of 95.54% and an average AUC of 0.9582 of the ROC curve among all sets defined in the experiment. This work reinforces the benefits of deep learning to be further attended in clinical applications and neuroscientific research. © 2018 IEEE.

关键词： Brain modeling Electroencephalography computer architecture Training Feature extraction Logic gates

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Ab initio Derivation of Low-Energy Hamiltonians for Systems with Strong Spin-Orbit Interaction and Its Application to Ca5Ir3O12

arXiv

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arXiv 2021年

作者： Charlebois, Maxime Moree, Jean-Baptiste Nakamura, Kazuma Nomura, Yusuke Tadano, Terumasa Yoshimoto, Yoshihide Yamaji, Youhei Hasegawa, Takumi Matsuhira, Kazuyuki Imada, Masatoshi Waseda Research Institute for Science and Engineering Waseda University Okubo Shinjuku Tokyo169-8555 Japan Kyushu Institute of Technology Graduate School of Engineering Kitakyushu804-8550 Japan Riken Center for Emergent Matter Science 2-1 Hirosawa Wako Saitama351-0198 Japan Research Center for Magnetic and Spintronic Materials National Institute for Materials Science Tsukuba305-0047 Japan Department of Computer Science University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan Department of Applied Physics University of Tokyo Hongo Bunkyo-ku Tokyo113-8656 Japan Graduate School of Integrated Arts and Sciences Hiroshima University Higashihiroshima Hiroshima739-8521 Japan Toyota Physical and Chemical Research Institute Yokomichi Nagakute Aichi480-1118 Japan

We present an ab initio derivation method for e_ective low-energy Hamiltonians of material with strong spin-orbit interactions. The e_ective Hamiltonian is described in terms of the Wannier function in the spinor form, and e_ective interactions are derived with the constrained random phase approximation (cRPA) method. Based on this formalism and the developed code, we derive an e_ective Hamiltonian of a strong spin-orbit interaction material Ca5Ir3O12. This system consists of three edge-shared IrO6 octahedral chains arranged along the c axis, and the three Ir atoms in the ab plane compose a triangular lattice. For such a complicated structure, we need to set up the Wannier spinor function under the local coordinate system. We found that a density-functional band structure near the Fermi level is formed by local dxy and dyz orbitals. Then, we constructed the ab initio dxy=dyz model. The estimated nearest neighbor transfer t is close to 0.2 eV, and the cRPA onsite U and neighboring V electronic interactions are found to be 2.4-2.5 eV and 1 eV, respectively. The resulting characteristic correlation strength de_ned by (U ô V )=t is above 7, and thus this material is classi_ed as a strongly correlated electron system. The onsite transfer integral involved in the spin-orbit interaction is 0.2 eV, which is comparable to the onsite exchange integrals_0.2 eV, indicating that the spin-orbit-interaction physics would compete with the Hund physics. Based on these calculated results, we discuss possible rich ground-state low-energy electronic structures of spin, charge and orbitals with competing Hund, spin-orbit and strong correlation physics. © 2021, CC BY.

关键词： Hamiltonians

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Author Correction: Predicting the efficiency of prime editing guide RNAs in human cells

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Nature biotechnology 2024年第3期42卷 529页

作者： Hui Kwon Kim Goosang Yu Jinman Park Seonwoo Min Sungtae Lee Sungroh Yoon Hyongbum Henry Kim Department of Pharmacology Yonsei University College of Medicine Seoul Republic of Korea. Brain Korea 21 Plus Project for Medical Sciences Yonsei University College of Medicine Seoul Republic of Korea. Center for Nanomedicine Institute for Basic Science (IBS) Seoul Republic of Korea. Graduate Program of Nano Biomedical Engineering (NanoBME) Advanced Science Institute Yonsei University Seoul Republic of Korea. Electrical and Computer Engineering Seoul National University Seoul Republic of Korea. Interdisciplinary Program in Bioinformatics Seoul National University Seoul Republic of Korea. Graduate School of Data Science Seoul National University Seoul Republic of Korea. Department of Pharmacology Yonsei University College of Medicine Seoul Republic of Korea. hkim1@yuhs.ac. Brain Korea 21 Plus Project for Medical Sciences Yonsei University College of Medicine Seoul Republic of Korea. hkim1@yuhs.ac. Center for Nanomedicine Institute for Basic Science (IBS) Seoul Republic of Korea. hkim1@yuhs.ac. Graduate Program of Nano Biomedical Engineering (NanoBME) Advanced Science Institute Yonsei University Seoul Republic of Korea. hkim1@yuhs.ac. Severance Biomedical Science Institute Yonsei University College of Medicine Seoul Republic of Korea. hkim1@yuhs.ac. Graduate Program of NanoScience and Technology Yonsei University Seoul Republic of Korea. hkim1@yuhs.ac.

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Comparison of Environmental Microbiomes in an Antibiotic Resistance-Polluted Urban River Highlights Periphyton and Fish Gut Communities as Reservoirs of Concern

SSRN

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SSRN 2022年

作者： Lee, Jiyoung Mills, Molly Lee, Seungjun Mollenkopf, Dixie Wittum, Thomas Sullivan, S. Mažeika Patricio Division of Environmental Health Sciences College of Public Health The Ohio State University ColumbusOH United States Environmental Sciences Graduate Program The Ohio State University ColumbusOH United States Department of Food Science and Nutrition Pukyong National University Busan Korea Republic of Department of Veterinary Preventive Medicine The Ohio State University ColumbusOH United States Infectious Diseases Institute The Ohio State University ColumbusOH United States Schiermeier Olentangy River Wetland Research Park School of Environment and Natural Resources The Ohio State University ColumbusOH43210 United States Department of Food Science & Technology The Ohio State University ColumbusOH United States

Natural waterways near urban areas are heavily impacted by anthropogenic activities, including their microbial communities. A contaminant of growing public health concern in rivers is antibiotic resistant genes (ARGs), which can spread between neighboring bacteria and increase the potential for transmission of AR bacteria to animals and humans. In order to identify the matrices of most concern for AR, we compared ARG burdens and microbial community structures between sample types from the Scioto River Watershed, Ohio, United States from 2017-2018. Five environmental matrices (water, sediment, periphyton, detritus, and fish gut) were collected from 26 river sites. Due to our focus on clinically relevant ARGs, three carbapenem resistance genes (blaKPC, blaNDM, and blaOXA-48) were quantified via DropletDigitalTM PCR. At a subset of nine urbanized sites, we conducted16S rRNA gene sequencing and functional gene predictions. Carbapenem resistance genes were quantified from all matrices, with blaKPC being the most detected (88% of samples), followed by blaNDM (64%), and blaOXA-48 (23%). Fish gut samples showed higher concentrations of blaKPC and blaNDM than any other matrix, indicating potential bioaccumulation of ARGs, and risk of broader dissemination through aquatic and nearshore food webs. Periphyton had higher concentrations of blaNDM than water, sediment, or detritus. Microbial community analysis identified differences by sample type in community diversity and structure. Sediment samples had the most diverse microbial communities, and detritus, the least. Spearman correlations did not reveal significant relationships between the concentrations of the monitored ARGs and microbial community diversity. However, several differentially abundant taxa and microbial functions were identified by sample type that are definitive of these matrices’ roles in the river ecosystem and habitat type. In summary, the fish gut and periphyton are a concern as AR reservoirs d

关键词： Fish

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Bi_2Se_3/C Nanocomposite as a New Sodium-Ion Battery Anode Material

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Nano-Micro Letters 2018年第3期10卷 135-143页

作者： Lixin Xie Ze Yang Jingying Sun Haiqing Zhou Xiaowei Chi Hailong Chen ANDy X.Li Yan Yao Shuo Chen Department of Physics and TcSUH University of Houston Department of Electrical and Computer Engineering and Materials Science and Engineering Program University of Houston The Woodruff School of Mechanical Engineering Georgia Institute of Technology Clements High School

Bi_2Se_3 was studied as a novel sodium-ion battery anode material because of its high theoretical capacity and high intrinsic conductivity. Integrated with carbon,Bi_2Se_3/C composite shows excellent cyclic performance and rate capability. For instance, the Bi_2Se_3/C anode delivers an initial capacity of 527 mAh g^(-10) at 0.1 A g^(-1) and maintains 89% of this capacity over 100 cycles. The phase change and sodium storage mechanism are also carefully investigated.

关键词： Bi2Se3 Sodium-ion battery High-energy ball milling Sodium storage mechanism

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First follow-up of transient events with the CTA Large Size Telescope prototype 37

First follow-up of transient events with the CTA Large Size ...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Kobayshi, Yukiho Sanchez, David Abe, H. Aguasca, A. Agudo, I. Antonelli, L.A. Aramo, C. Armstrong, T. Artero, M. Asano, K. Ashkar, H. Aubert, P. Baktash, A. Bamba, A. Baquero Larriva, A. Baroncelli, L. Barres de Almeida, U. Barrio, J.A. Batkovic, I. Becerra González, J. Bernardos, M.I. Berti, A. Biederbeck, N. Bigongiari, C. Blanch, O. Bonnoli, G. Bordas, P. Bose, D. Bulgarelli, A. Burelli, I. Buscemi, M. Cardillo, M. Caroff, S. Carosi, A. Cassol, F. Cerruti, M. Chai, Y. Cheng, K. Chikawa, M. Chytka, L. Contreras, J.L. Cortina, J. Costantini, H. Dalchenko, M. De Angelis, A. de Bony de Lavergne, M. Deleglise, G. Delgado, C. Delgado Mengual, J. della Volpe, D. Depaoli, D. Di Pierro, F. Di Venere, L. Díaz, C. Dominik, R.M. Dominis Prester, D. Donini, A. Dorner, D. Doro, M. Elsässer, D. Emery, G. Escudero, J. Fiasson, A. Foffano, L. Fonseca, M.V. Freixas Coromina, L. Fukami, S. Fukazawa, Y. Garcia, E. Garcia López, R. Giglietto, N. Giordano, F. Gliwny, P. Godinovic, N. Green, D. Grespan, P. Gunji, S. Hackfeld, J. Hadasch, D. Hahn, A. Hassan, T. Hayashi, K. Heckmann, L. Heller, M. Herrera Llorente, J. Hirotani, K. Hoffmann, D. Horns, D. Houles, J. Hrabovsky, M. Hrupec, D. Hui, D. Hütten, M. Inada, T. Inome, Y. Iori, M. Ishio, K. Iwamura, Y. Jacquemont, M. Jimenez Martinez, I. Jouvin, L. Jurysek, J. Kagaya, M. Karas, V. Katagiri, H. Kataoka, J. Kerszberg, D. Kobayashi, Y. Kong, A. Kubo, H. Kushida, J. Lamanna, G. Lamastra, A. Le Flour, T. Longo, F. López-Coto, R. López-Moya, M. López-Oramas, A. Luque-Escamilla, P.L. Majumdar, P. Makariev, M. Mandat, D. Manganaro, M. Mannheim, K. Mariotti, M. Marquez, P. Marsella, G. Martí, J. Martinez, O. Martínez, G. Martínez, M. Marusevec, P. Mas, A. Maurin, G. Mazin, D. Mestre Guillen, E. Micanovic, S. Miceli, D. Miener, T. Miranda, J.M. Miranda, L.D.M. Mirzoyan, R. Mizuno, T. Molina, E. Montaruli, T. Monteiro, I. Moralejo, A. Morcuende, D. Moretti, E. Morselli, A. Mrakovcic, K. Murase, K. Nagai, A. LAPP Université de Savoie Mont-Blanc CNRS/IN2P3 Annecy74941 France Institute for Cosmic Ray Research The University of Tokyo Kashiwa Japan Institute for Cosmic Ray Research University of Tokyo Japan Departament de Física Quàntica i Astrofísica Institut de Ciències del Cosmos Universitat de Barcelona IEEC-UB Spain Instituto de Astrofísica de Andalucía CSIC INAF - Osservatorio Astronomico di Roma Italy INFN Sezione di Napoli Italy Aix Marseille Univ CNRS/IN2P3 CPPM France The Barcelona Institute of Science and Technology Spain IRFU CEA Université Paris-Saclay France LAPP Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS/IN2P3 Annecy France Universität Hamburg Institut für Experimentalphysik Germany Graduate School of Science University of Tokyo Japan EMFTEL department IPARCOS Universidad Complutense de Madrid Spain INAF - Osservatorio di Astrofisica Scienza dello Spazio di Bologna Italy Centro Brasileiro de Pesquisas Físicas Brazil INFN Sezione di Padova Università degli Studi di Padova Italy Instituto de Astrofísica de Canarias Departamento de Astrofísica Universidad de La Laguna Spain Max-Planck-Institut für Physik Germany Department of Physics TU Dortmund University Germany Saha Institute of Nuclear Physics INFN Sezione di Trieste Università degli Studi di Udine Italy INFN Sezione di Catania Italy Italy University of Geneva Département de Physique Nucléaire et Corpusculaire Switzerland Palacky University Olomouc Faculty of Science Czech Republic CIEMAT Port d'Informació Científica INFN Sezione di Torino Italy Dipartimento di Fisica Universitá degli Studi di Torino Italy INFN Sezione di Bari Università di Bari Italy University of Rijeka Department of Physics Croatia Institute for Theoretical Physics and Astrophysics Universität Würzburg Germany Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Japan INFN Sezione di Bari Politecnico di Bari Italy Faculty of Physics and Applied Informatics University of L

The recent detection of a very high energy (VHE) emission from Gamma-Ray Bursts (GRBs) above 100 GeV performed by the MAGIC and H.E.S.S. collaborations, has represented a significant, long-awaited result for the VHE astrophysics community. Although these results' scientific impact has not yet been fully exploited, the possibility to detect VHE gamma-ray signals from GRBs has always been considered crucial for clarifying the poorly known physics of these objects. Furthermore, the discovery of high-energy neutrinos and gravitational waves associated with astrophysical sources have definitively opened the era of multi-messenger astrophysics, providing unique insights into the physics of extreme cosmic accelerators. In the near future, the Cherenkov Telescope Array (CTA) will play a major role in these observations. Within this framework, the Large Size Telescopes (LSTs) will be the instruments best suited to significantly impact on short time-scale transients follow-up thanks to their fast slewing and large effective area. The observations of the early emission phase of a wide range of transient events with good sensitivity below 100 GeV will allow us to open new opportunities for time-domain astrophysics in an energy range not affected by selective absorption processes typical of other wavelengths. In this contribution, we will report about the observational program and first transients follow-up observations performed by the LST-1 telescope currently in its commissioning phase on La Palma, Canary Islands, the CTA northern hemisphere site. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Telescopes

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ARSENIC HASTENS THE ONSET OF OSTEOARTHRITIS BY TRIGGERING THE NF-κB-HIF-2α/ZIP8 SIGNALING PATHWAY VIA REACTIVE OXYGEN SPECIES

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Osteoarthritis and Cartilage 2024年 32卷 S430-S430页

作者： Gamaarachchige, Dinesh Suminda Godagama Min, Yunhui Heo, Yunji Lee, Juyeon Jung, Man-Young GHOSH, MRINMOY Son, Young-Ok Interdisciplinary Graduate Program in Advanced Convergence Technology and Science Jeju National University Jeju Korea (the Republic of) Department of Animal Biotechnology Faculty of Biotechnology Jeju National University Jeju Korea (the Republic of) Department of Biology Education Jeju National University Jeju Korea (the Republic of) Department of Biotechnology School of Bio Chemical and Processing Engineering (SBCE) Kalasalin-gam Academy of Research and Educational Krishnankoil Tamil Nadu India

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Rücktitelbild: Robust, Ultrafast and Reversible Photoswitching in Bulk Polymers Enabled by Octupolar Molecule Design (Angew. Chem. 16/2024)

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Angewandte Chemie 2024年第16期136卷

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