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Electrostatic nano-mask patterned 180° domain walls in a ferroelectric film

science advances 2025年第24期11卷 eadv9194页

作者： Xiangbin Cai Yueze Tan Chao Chen Changsheng Chen Xiangli Che Chao Xu Yan Zhao Haiyang Pan Yaoding Lou Jefferson Zhe Liu Jesús Zúñiga Pérez Weibo Gao Long-Qing Chen Jun-Ming Liu Deyang Chen Ye Zhu Department of Applied Physics Research Institute for Smart Energy The Hong Kong Polytechnic University Kowloon Hong Kong China. Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore. Materials Research Institute and Department of Materials Science and Engineering The Pennsylvania State University University Park PA 16802 USA. Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute for Advanced Materials South China Academy of Advanced Optoelectronics South China Normal University Guangzhou 510006 China. Department of Mechanical Engineering The University of Melbourne Parkville VIC 3010 Australia. Majulab International Joint Research Unit UMI 3654 CNRS Université Côte d'Azûr Sorbonne Université National University of Singapore Nanyang Technological University Singapore 637371 Singapore. School of Electrical and Electronic Engineering The Photonics Institute and Centre for Disruptive Photonic Technologies Nanyang Technological University Singapore 639798 Singapore. Centre for Quantum Technologies National University of Singapore Singapore 117543 Singapore. Laboratory of Solid State Microstructures and Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China.

Ferroelectric domain walls (FDWs) exhibit exotic structural and electronic properties, positioning them as a promising functional element for next-generation nanoelectronics. However, achieving the deterministic creation of FDWs with nanoscale precision and controlled polarization of domains remains a substantial challenge for the scalable FDW-device fabrication and circuit design. Here, we demonstrate a strategy for FDW engineering by tailoring the interfacial electrostatic profile. Using SrRuO islands as "nano-masks," we spatially modulate the interfacial atomic termination to generate alternating positive and negative built-in electric fields. The boundaries where the electric field switches polarity drive the formation of 180° FDWs in BiFeO thin films. This mechanism is validated through theoretical calculations and direct experimental observations. Furthermore, atomic-scale analysis reveals localized lattice distortions, structural chirality of the FDWs, as well as the edge effect of SrRuO islands on the position precision of FDW nucleation. Our findings pave the way toward a scalable and controllable bottom-up FDW-growth technique for future FDW nanoelectronics.

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Light‐Emitting Diodes: Record High External Quantum Efficiency of 19.2% Achieved in Light‐Emitting Diodes of Colloidal Quantum Wells Enabled by Hot‐Injection Shell Growth (Adv. Mater. 8/2020)

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Advanced Materials 2020年第8期32卷

作者： Baiquan Liu Yemliha Altintas Lin Wang Sushant Shendre Manoj Sharma Handong Sun Evren Mutlugun Hilmi Volkan Demir Luminous! Centre of Excellence for Semiconductor Lighting and Displays School of Electrical and Electronic Engineering and School of Physical and Mathematical Sciences Nanyang Technological University Singapore 639798 Singapore Department of Electrical and Electronics Engineering Department of Physics UNAM‐Institute of Materials Science and Nanotechnology Bilkent University Ankara 06800 Turkey Department of Materials Science and Nanotechnology and Department of Electrical‐Electronics Engineering Abdullah Gül University Kayseri TR‐38080 Turkey Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore

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Controlled spin-torque driven domain wall motion using staggered magnetic nanowires

arXiv

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arXiv 2019年

作者： Mohammed, H. Risi, S. Al Jin, T.L. Kosel, J. Piramanayagam, S.N. Sbiaa, R. King Abdullah University of Science and Technology Computer Electrical and Mathematical Science and Engineering Thuwal23955-6900 Saudi Arabia Department of Physics Sultan Qaboos University P.O. Box 36 PC 123 Muscat Oman Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore

The growing demand for storage, due to big data applications, cannot be met by hard disk drives. Domain wall (DW) memory devices such as racetrack memory offer an alternative route to achieve high capacity storage. In DW memory, control of domain wall positions and their motion using spin-transfer torque are important challenges. In this paper, we demonstrate controlled domain wall motion using spin-transfer torque in staggered magnetic nanowires. The devices, fabricated using electron-beam lithography, were tested using a magneto-optical Kerr microscopy and electrical transport measurements. The depinning current, pinning potential and thermal stability were found to depend on the device dimensions of the staggering nanowires. Thus, the proposed staggering configuration helps to fine-tune the properties of domain wall devices for memory applications. Copyright © 2019, The Authors. All rights reserved.

关键词： Domain walls

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Computationally designed proteins mimic antibody immune evasion in viral evolution

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Immunity 2025年第6期58卷 1411-1421.e6页

作者： Youssef, Noor Gurev, Sarah Ghantous, Fadi Brock, Kelly P. Jaimes, Javier A. Thadani, Nicole N. Dauphin, Ann Sherman, Amy C. Yurkovetskiy, Leonid Soto, Daria Estanboulieh, Ralph Kotzen, Ben Notin, Pascal Kollasch, Aaron W. Cohen, Alexander A. Dross, Sandra E. Erasmus, Jesse Fuller, Deborah H. Bjorkman, Pamela J. Lemieux, Jacob E. Luban, Jeremy Seaman, Michael S. Marks, Debora S. Department of Systems Biology Harvard Medical School Boston 02115 MA United States Broad Institute of Harvard and MIT Cambridge 02139 MA United States Department of Electrical Engineering and Computer Science MIT Cambridge 02139 MA United States Center for Virology and Vaccine Research Beth Israel Deaconess Medical Center Boston 02215 MA United States Program in Molecular Medicine University of Massachusetts Chan Medical School Worcester 01655 MA United States Division of Infectious Diseases Department of Medicine Brigham and Women's Hospital Boston 02115 MA United States Massachusetts General Hospital Boston 02114 MA United States Division of Biology and Biological Engineering California Institute of Technology Pasadena 91125 CA United States Department of Microbiology University of Washington Seattle 98195 WA United States National Primate Research Center Seattle 98109 WA United States HDT Bio Seattle 98109 WA United States Massachusetts Consortium on Pathogen Readiness Boston 02115 MA United States Ragon Institute of MGH MIT and Harvard Cambridge 02139 MA United States

Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective against emerging viruses. Our ability to evaluate interventions is currently limited to assessments against past or circulating variants, which likely differ in their immune escape potential compared with future variants. To address this, we developed EVE-Vax, a computational method for designing antigens that foreshadow immune escape observed in future viral variants. We designed 83 SARS-CoV-2 spike proteins that transduced ACE2-positive cells and displayed neutralization resistance comparable to variants that emerged up to 12 months later in the COVID-19 pandemic. Designed spikes foretold antibody escape from B.1-BA.4/5 bivalent booster sera seen in later variants. The designed constructs also highlighted the increased neutralization breadth elicited by nanoparticle-based, compared with mRNA-based, boosters in non-human primates. Our approach offers targeted panels of synthetic proteins that map the immune landscape for early vaccine and therapeutic evaluation against future viral strains. © 2025 The Authors

关键词： antibody escape generative protein models immune landscape machine learning protein design vaccine evaluation viral evolution

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Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA 37

Deep-learning-driven event reconstruction applied to simulat...

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37th International Cosmic Ray Conference, ICRC 2021

作者： 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. Nakamori, T. Nickel, L. LISTIC Université Savoie Mont-Blanc Polytech Annecy-Chambéry 5 chemin de bellevue Annecy74940 France 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 Italy 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 Laboratoire d'Annecy de Physique des Particules Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LAPP 9 chemin de bellevue Annecy74940 France Universität Hamburg Institut für Experimentalphysik Germany Graduate School of Science University of Tokyo Japan Instituto de Física de Partículas y del Cosmos Departamento de EMFTEL Universidad Complutense de Madrid Madrid Spain INAF Osservatorio di Astrofisica e Scienza Spazio di Bologna Italy Centro Brasileiro de Pesquisas Físicas Brazil INFN Istituto Nazionale di Fisica Nucleare Sezione di Padova PadovaI-35131 Italy 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 Engin

When very-high-energy gamma rays interact high in the Earth's atmosphere, they produce cascades of particles that induce flashes of Cherenkov light. Imaging Atmospheric Cherenkov Telescopes (IACTs) detect these flashes and convert them into shower images that can be analyzed to extract the properties of the primary gamma ray. The dominant background for IACTs is comprised of air shower images produced by cosmic hadrons, with typical noise-to-signal ratios of several orders of magnitude. The standard technique adopted to differentiate between images initiated by gamma rays and those initiated by hadrons is based on classical machine learning algorithms, such as Random Forests, that operate on a set of handcrafted parameters extracted from the images. Likewise, the inference of the energy and the arrival direction of the primary gamma ray is performed using those parameters. State-of-the-art deep learning techniques based on convolutional neural networks (CNNs) have the potential to enhance the event reconstruction performance, since they are able to autonomously extract features from raw images, exploiting the pixel-wise information washed out during the parametrization process. Here we present the results obtained by applying deep learning techniques to the reconstruction of Monte Carlo simulated events from a single, next-generation IACT, the Large-Sized Telescope (LST) of the Cherenkov Telescope Array (CTA). We use CNNs to separate the gamma-ray-induced events from hadronic events and to reconstruct the properties of the former, comparing their performance to the standard reconstruction technique. Three independent implementations of CNN-based event reconstruction models have been utilized in this work, producing consistent results. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Hadrons

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Commissioning of the camera of the first Large Size Telescope of the Cherenkov Telescope Array 37

Commissioning of the camera of the first Large Size Telescop...

引用

37th International Cosmic Ray Conference, ICRC 2021

作者： Saito, T. Delgado, C. Blanch, O. Artero, M. Barrio, J.A. Cassol, F. Diaz, C. Hadasch, D. Hoffmann, D. Houles, J. Inome, Y. Iori, M. Jouvin, L. Kerszberg, D. Kobayashi, Y. Kubo, H. Martinez, G. Mazin, D. Moretti, E. Nakamori, T. Nozaki, S. Oka, T. Okumura, A. Palatiello, M. Polo, M. Prast, J. Sakurai, S. Sunada, Y. Takahashi, M. Takeishi, R. Tejedor, L.A. Yamamoto, T. Yoshida, T. Abe, H. Aguasca, A. Agudo, I. Antonelli, L.A. Aramo, C. Armstrong, T. Asano, K. Ashkar, H. Aubert, P. Baktash, A. Bamba, A. Baquero Larriva, A. Baroncelli, L. Barres de Almeida, U. Batkovic, I. Becerra González, J. Bernardos, M.I. Berti, A. Biederbeck, N. Bigongiari, C. Bonnoli, G. Bordas, P. Bose, D. Bulgarelli, A. Burelli, I. Buscemi, M. Cardillo, M. Caroff, S. Carosi, A. 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 Mengual, J. della Volpe, D. Depaoli, D. Di Pierro, F. Di Venere, L. 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. Hahn, A. Hassan, T. Hayashi, K. Heckmann, L. Heller, M. Herrera Llorente, J. Hirotani, K. Horns, D. Hrabovsky, M. Hrupec, D. Hui, D. Hütten, M. Inada, T. Ishio, K. Iwamura, Y. Jacquemont, M. Jimenez Martinez, I. Jurysek, J. Kagaya, M. Karas, V. Katagiri, H. Kataoka, J. Kong, A. 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, M. Marusevec, P. Mas, A. Maurin, G. Mestre Guillen, E. Micanovic, S. Miceli, D. Miener, T. Miranda, J.M. ICRR Institute for Cosmic Ray Research University of Tokyo 5-1-5 Kashiwa-no-ha Chiba Kashiwa277-8582 Japan CIEMAT Avda. Complutense 40 Madrid28040 Spain The Barcelona Institute of Science and Technology Bellaterra Campus UAB Barcelona08193 Spain EMFTEL Department IPARCOS Universidad Complutense de Madrid Madrid28040 Spain Aix-Marseille Université CNRS IN2P3 CPPM 163 Avenue de Luminy MarseilleCedex 09 13288 France INFN Sezione di Roma La Sapienza P.le Aldo Moro 2 Roma00185 Italy Division of Physics and Astronomy Graduate School of Science Kyoto University Sakyo-ku Kyoto606-8502 Japan Department of Physics Yamagata University Yamagata990-8560 Japan ISEE Nagoya University Chikusa-ku Nagoya464-8602 Japan Graduate School of Science and Engineering Saitama University 255 Simo-Ohkubo Sakura-ku Saitama338-8570 Japan CNRS Laboratoire d'Annecy de Physique des Particules IN2P3 Univ. Grenoble Alpes Univ. Savoie Mont Blanc Annecy74000 France Department of Physics Konan University Hyogo Kobe658-8501 Japan Faculty of Science Ibaraki University Ibaraki Mito310-8512 Japan Departament de Física Quàntica i Astrofísica Institut de Ciències del Cosmos Universitat de Barcelona IEEC-UB Spain Instituto de Astrofísica de Andalucía CSIC Spain INAF - Osservatorio Astronomico di Roma Italy INFN Sezione di Napoli Italy IRFU CEA Université Paris-Saclay France Universität Hamburg Institut für Experimentalphysik Germany Graduate School of Science University of Tokyo Japan INAF - Osservatorio di Astrofisica e 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 India INFN Sezione di Trieste Università degli Studi di Udine Italy INFN Sezio

The first Large Size Telescope (LST-1) of the Cherenkov Telescope Array has been operational since October 2018 at La Palma, Spain. We report on the results obtained during the camera commissioning. The noise level of the readout is determined as a 0.2 p.e. level. The gain of PMTs are well equalized within 2% variation, using the calibration flash system. The effect of the night sky background on the signal readout noise as well as the PMT gain estimation are also well evaluated. Trigger thresholds are optimized for the lowest possible gamma-ray energy threshold and the trigger distribution synchronization has been achieved within 1 ns precision. Automatic rate control realizes the stable observation with 1.5% rate variation over 3 hours. The performance of the novel DAQ system demonstrates a less than 10% dead time for 15 kHz trigger rate even with sophisticated online data correction. © 2022 Sissa Medialab Srl. All rights reserved.

关键词： Cameras

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All-Inorganic Quantum-Dot LEDs Based on a Phase-Stabilized α-CsPbI3Perovskite

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Angewandte Chemie 2021年第29期133卷

作者： Ya-Kun Wang Fanglong Yuan Yitong Dong Jiao-Yang Li Andrew Johnston Bin Chen Makhsud I. Saidaminov Chun Zhou Xiaopeng Zheng Yi Hou Koen Bertens Hinako Ebe Dongxin Ma Zhengtao Deng Shuai Yuan Rui Chen Laxmi Kishore Sagar Jiakai Liu James Fan Peicheng Li Xiyan Li Yuan Gao Man-Keung Fung Zheng-Hong Lu Osman M. Bakr Liang-Sheng Liao Edward H. Sargent Department of Electrical and Computer Engineering University of Toronto 10 King's College Road Toronto Ontario M5S 3G4 Canada Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices Soochow University Suzhou Jiangsu 215123 P. R. China Department of Materials Science and Engineering University of Toronto 184 College Street Toronto Ontario M5S 3G4 Canada Present address: Department of Chemistry and Electrical & Computer Engineering Centre for Advanced Materials and Related Technologies (CAMTEC) University of Victoria Victoria British Columbia Canada Division of Physical Sciences and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia College of Engineering and Applied Sciences State Key Laboratory of Analytical Chemistry for Life Science Nanjing University Nanjing Jiangsu 210023 P. R. China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen Guangdong 518055 P. R. China

The all-inorganic nature of CsPbI 3 perovskites allows to enhance stability in perovskite devices. Research efforts have led to improved stability of the black phase in CsPbI 3 films; however, these strategies—including strain and doping—are based on organic-ligand-capped perovskites, which prevent perovskites from forming the close-packed quantum dot (QD) solids necessary to achieve high charge and thermal transport. We developed an inorganic ligand exchange that leads to CsPbI 3 QD films with superior phase stability and increased thermal transport. The atomic-ligand-exchanged QD films, once mechanically coupled, exhibit improved phase stability, and we link this to distributing strain across the film. Operando measurements of the temperature of the LEDs indicate that KI-exchanged QD films exhibit increased thermal transport compared to controls that rely on organic ligands. The LEDs exhibit a maximum EQE of 23 % with an electroluminescence emission centered at 640 nm (FWHM: ≈31 nm). These red LEDs provide an operating half-lifetime of 10 h (luminance of 200 cd m −2 ) and an operating stability that is 6× higher than that of control devices.

关键词： CsPbI3 quantum dots inorganic ligand exchange perovskite LEDs pure red emission strain engineering

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Parallel plasma loops and the energization of the solar corona

arXiv

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arXiv 2022年

作者： Peter, Hardi Chitta, Lakshmi Pradeep Chen, Feng Pontin, David I. Winebarger, Amy R. Golub, Leon Savage, Sabrina L. Rachmeler, Laurel A. Kobayashi, Ken Brooks, David H. Cirtain, Jonathan W. De Pontieu, Bart McKenzie, David E. Morton, Richard J. Testa, Paola Tiwari, Sanjiv K. Walsh, Robert W. Warren, Harry P. Max Planck Institute for Solar System Research Justus-von-Liebig-Weg 3 GöttingenD-37077 Germany Laboratory for Atmospheric and Space Physics University of Colorado Boulder Boulder CO80303 United States School of Information and Physical Sciences University of Newcastle CallaghanNSW2308 Australia School of Science and Engineering University of Dundee Nethergate DundeeDD1 4HN United Kingdom NASA/Marshall Space Flight Center HuntsvilleAL35812 United States Harvard-Smithsonian Center for Astrophysics 60 Garden St. CambridgeMA02138 United States Boulder CO80305 United States College of Science George Mason University 4400 University Drive FairfaxVA22030 United States BWX Technologies Inc. 800 Main St #400 LynchburgVA24504 United States Lockheed Martin Solar and Astrophysics Laboratory Palo AltoCA94304 United States Rosseland Centre for Solar Physics University of Oslo P.O. Box 1029 Blindern OsloNO-0315 Norway Institute of Theoretical Astrophysics University of Oslo P.O. Box 1029 Blindern OsloNO-0315 Norway Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle upon TyneNE1 8ST United Kingdom Bay Area Environmental Research Institute NASA Research Park Moffett FieldCA94035 United States Jeremiah Horrocks Institute University of Central Lancashire PrestonPR1 2HE United Kingdom Space Science Division Naval Research Laboratory WashingtonDC20375 United States

关键词： Magnetohydrodynamics

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Stabilization of nonlinear event-triggered control systems with time-varying triggering conditions 29

Stabilization of nonlinear event-triggered control systems w...

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第29届中国控制与决策会议

作者： Hao Yu Fei Hao Shenrui Pan The Seventh Research Division School of Automation Science and Electrical EngineeringBeihang University Division of Physical Sciences The University of Chicago

ISBN: (纸本)9781509046584

This paper studies the stabilization problem of nonlinear event-triggered control systems using the hybrid system model *** extension of the concept,maximum allowable sampling period,is proposed by considering the effects of the time-triggered manner and the event-triggered manner *** a time-varying triggering condition is given where the threshold parameter varies adaptively based on the interval between two consecutive triggering ***,to reduce the on-line computational load for the time-varying triggering condition,a look-up table method and an improved time-invariant triggering condition are ***,a numerical example is given to illustrate the efficiency and the feasibility of the proposed results.

关键词： Nonlinear systems event-triggered control asymptotic stability time-varying triggering conditions

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The association between poor sleep health and Alzheimer's disease structural neuroimaging biomarkers

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Alzheimer's & Dementia 2025年第6期21卷

作者： Emma Nolan Yunyi Sun Hui Shi Derek Archer Arden Perry Kimberly Pechman Niranjana Shashikumar Bennett Landman Marissa Gogniat Dandan Liu Panpan Zhang Timothy J. Hohman Angela L. Jefferson Kelsie M. Full Vanderbilt Memory and Alzheimer's Center Vanderbilt University School of Medicine Nashville Tennessee USA Epidemiology Doctoral Program School of Medicine Vanderbilt University Nashville Tennessee USA Department of Biostatistics Vanderbilt University Medical Center Nashville Tennessee USA Vanderbilt Genetics Institute Vanderbilt University Medical Center Nashville Tennessee USA Vanderbilt Brain Institute Vanderbilt University Medical Center Nashville Tennessee USA Department of Radiology & Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee USA Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville Tennessee USA Department of Biomedical Engineering Vanderbilt University Nashville Tennessee USA Department of Electrical and Computer Engineering Vanderbilt University Nashville Tennessee USA Department of Neurology University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA Division of Epidemiology Department of Medicine Vanderbilt University Medical Center Nashville Tennessee USA

INTRODUCTION Poor sleep may be a risk factor for neurodegeneration and Alzheimer's disease (AD). Few studies have examined objectively measured sleep with structural neuroimaging measures. METHODS Vanderbilt Memory and Aging Project participants ( N = 407; median age: 70 years) wore ActiGraph accelerometers for 10 days to estimate sleep regularity, timing, efficiency, duration, wake-after-sleep onset, and awakening length. Volume in brain regions of interest (ROIs) and AD signatures were quantified using 3T brain magnetic resonance imaging (MRI). Cross-sectional linear regression models were adjusted for sociodemographic and lifestyle factors, depression, cognitive status, and cardiovascular risk. ROI and McEvoy models were adjusted for total intracranial volume. RESULTS Greater sleep irregularity ( β Hippocampus = −0.12, p = 0.005; β McEvoy = −0.07, p = 0.024) and longer awakening length ( β Hippocampus = −0.11, p = 0.009; β Parietal = −0.08, p = 0.012) were associated with smaller volumes in ROIs related to AD. DISCUSSION More irregular and fragmented sleep was associated with smaller volume in ROIs vulnerable to AD, indicating a potential link between poor sleep and neurodegeneration. Highlights Associations between sleep and brain health are poorly understood. Gray matter atrophy by irregular sleep may imply Alzheimer's disease (AD) decline. Increased sleep irregularity is associated with smaller brain region volume. Sleep disruption, estimated by awakening length, is linked to AD-related brain volume.

关键词： actigraphy Alzheimer's disease atrophy magnetic resonance imaging sleep

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