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Rücktitelbild: PD-L1 Aptamer-Functionalized Metal–Organic Framework Nanoparticles for Robust Photo-Immunotherapy against Cancer with Enhanced Safety (Angew. Chem. 5/2023)

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Angewandte Chemie 2023年第5期135卷 e202218931-e202218931页

作者： Dr. Jingfang Zhang Dr. Wenzhe Li Dr. Yafei Qi Dr. Guorong Wang Prof. Lele Li Prof. Zhengyu Jin Prof. Jie Tian Prof. Yang Du Beijing Key Laboratory for Bioengineering and Sensing Technology School of Chemistry and Biological Engineering University of Science and Technology Beijing Beijing 100083 China CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing 100190 China State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical Sciences Peking University Beijing 100191 China CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular Imaging the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Radiology Peking Union Medical College Hospital Peking Union Medical College and Chinese Academy of Medical Sciences Beijing 100730 China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine Beihang University Beijing 100191 China

PD-L1 aptamer-based spherical nucleic acids (SNAs) were designed that consist of oxaliplatin (OXA) encapsulated in a metal–organic framework (MOF) nanoparticle core and a dense shell of PD-L1 aptamer (denoted as M@O-A), as reported by Zhengyu Jin, Jie Tian, Yang Du, and co-workers in their Research Article (e202214750). Upon light irradiation, the versatile M@O-A allows for robust photo-immunotherapy against cancer by combining photodynamic therapy, chemotherapy, and immunotherapy in one nanoplatform with reduced immunotoxicity.

关键词： DNA Nanotechnology Immunotherapy Metal–Organic Frameworks PD-L1 Aptamer Spherical Nucleic Acids (SNAs)

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A Counter-Rotating Impulse Turbine for Wave Energy Conversion

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Open Journal of Fluid Dynamics 2018年第4期8卷 435-442页

作者： Manabu Takao Kohei Yamada Shinya Okuhara M. M. Ashraful Alam Yoichi Kinoue Toshiaki Setoguchi Department of Mechanical Engineering National Institute of Technology Matsue College Matsue Japan Advanced Course of Production and Construction Systems National Institute of Technology Matsue College Matsue Japan Support Center for Practical Education National Institute of Technology Matsue College Matsue Japan Department of Mechanical Engineering Saga University Saga Japan Institute of Ocean Energy Saga University Saga Japan

Wave energy can be converted to the electrical energy by using a wave energy converter. The wave energy converter with oscillating water column (OWC) is one of the most promising devices because of its simple structure and easy maintenance. In this device, an oscillating water column due to the wave motion is used to drive an air column. An air turbine is used to convert the pneumatic energy of this bi-directional airflow into the mechanical energy. The counter-rotating impulse turbine for wave energy conversion has been proposed and tested so far, and the average efficiency has been shown to about 0.3. On the contrary, in another offshore experiment, it has been reported that the power generation efficiency of this turbine is larger than Wells turbine in case of small waves. However, there is a scarcity of the detailed characteristics data of counter-rotating impulse turbine. In a previous study, the authors investigated the effect of rotor blade solidity and setting angle of guide vane on the performance of this turbine, and they clarified that the efficiency of this turbine is higher than impulse turbine with single rotor in the range of high flow coefficients. The present study aimed to investigate the effect of rotor blade profile on the turbine performance by using the computation fluid dynamic (CFD) analysis. The inner and outer angles of turbine rotor blade are changed in the range of 50° to 70°. The commercial CFD software of SCRYU/Tetra of Cradle Co. Ltd. was used in the present work. The Reynolds averaged Navier-Stokes (RANS) equations were used as the governing equations and the low Reynold’s number SST k-ω model was used to predict the turbulent stresses. As a result, it was found that the inner angle of γ = 70° and the outer angle of γ = 60° of the turbine rotor blades can give the best turbine efficiency and it shows the efficiency close to the impulse turbine with single rotor, even in the range of low flow coefficients.

关键词： Air Turbine CFD Fluid Machinery Oscillating Water Column (OWC) Wave Energy Conversion

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Cybersecurity Analysis of Smart Manufacturing System Using Game Theory Approach and Quantal Response Equilibrium

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Procedia Manufacturing 2018年 17卷 1001-1008页

作者： Alireza Zarreh Can Saygin HungDa Wan Yooneun Lee Alejandro Bracho li Nie Department of Mechanical Engineering University of Texas at San Antonio San Antonio Texas 78249 USA Center for Advanced Manufacturing and Lean Systems University of Texas at San Antonio San Antonio Texas 78249 USA School of Intelligent Manufacturing and Control Engineering Shanghai Polytechnic University Shanghai China201209

Recently cybersecurity issues have been taken more seriously because of highly increasing integration of industrial internet of things and manufacturing systems. These integrations make smart manufacturing systems more vulnerable to cyber threats. It is widely accepted that risk analysis is a function of (1) likelihood of attacks against an asset and (2) the consequences of such attacks. From a manufacturer’s viewpoint, forecasting behavior of attackers to estimate likelihood of attack is far more difficult, while the second variable is easier to determine based on the system’s configuration. In this paper, cost functions are considered as financial loss to address the consequences of attacks. The game theory approach is utilized to model the rivalry of cyber attackers and the manufacturing systems as the defender. Then, to solve the game, a statistical approach, the quantal response equilibrium (QRE), is applied to find the likelihood of attack and predict the behavior of attackers. The attackers’ behavior is investigated under different circumstances to find the best defensive strategy against expected attacks and analyze the cybersecurity risks in manufacturing systems.

关键词： Game Theory Cybersecurity in Manufacturing Quantal Response Equilibrium

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First-principles study of bulk and two-dimensional structures of the AMnBi family of materials (A=K,Rb,Cs)

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Physical Review B 2020年第3期102卷 035444-035444页

作者： Ziming Zhu Chunyan Liao Si Li Xiaoming Zhang Weikang Wu Zhi-Ming Yu Rui Yu Wei Zhang Shengyuan A. Yang Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha 410081 China Research Laboratory for Quantum Materials Singapore University of Technology and Design Singapore 487372 Singapore School of Materials Science and Engineering Hebei University of Technology Tianjin 300130 China Key Lab of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems and School of Physics Beijing Institute of Technology Beijing 100081 China School of Physics and Technology Wuhan University Wuhan 430072 China Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials College of Physics and Energy Fujian Normal University Fuzhou 350117 China School of Physics and Technology Center for Quantum Transport and Thermal Energy Science Nanjing Normal University Nanjing 210023 China

Magnetic materials with high mobilities are intriguing subjects of research from both fundamental and application perspectives. Based on first-principle calculations, we investigate the physical properties of the already synthesized AMnBi (A=K, Rb, Cs) family materials. We show that these materials are antiferromagnetic (AFM), with Néel temperatures above 300 K. They contain AFM ordered Mn layers, while the interlayer coupling changes from ferromagnetic (FM) for KMnBi to AFM for RbMnBi and CsMnBi. We find that these materials are narrow gap semiconductors. Owing to the small effective mass, the electron carrier mobility can be very high, reaching up to 105cm2/(Vs) for KMnBi. In contrast, the hole mobility is much suppressed, typically lower by two orders of magnitude. We further study their two-dimensional (2D) single layer structures, which are found to be AFM with fairly high mobility ∼103cm2/(Vs). Their Néel temperatures can still reach room temperature. Interesting, we find that the magnetic phase transition is also accompanied by a metal-insulator phase transition, with the paramagnetic metal phase possessing a pair of nonsymmorphic-symmetry-protected 2D spin-orbit Dirac points. Furthermore, the magnetism can be effectively controlled by the applied strain. When the magnetic ordering is turned into FM, the system can become a quantum anomalous Hall insulator with gapless chiral edge states.

关键词： Edge states First-principles calculations Magnetic phase transitions Spin-orbit coupling Topological materials Transport phenomena

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Variable interface dynamic adjustment (VIDA) technique: A novel approach to adjust lagrangian frame and eulerian frame at flattering interface 8th

Variable interface dynamic adjustment (VIDA) technique: A no...

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8th AIAA Theoretical Fluid Mechanics Conference, 2017

作者： Zanj, Amir He, Fangpo Breedveld, Peter C. College of Science and Engineering Advanced Control Systems Research Group Flinders University Adelaide Australia Department of Mechanical engineering Robotics and Mechatronics Group University of Twente Enschede Netherlands

ISBN: (纸本)9781624104978

In the current study to address the incompatibility issue of the Eulerian and Lagrangian frame at FSI problems, a novel physical approach is proposed. According to this approach, the motion of the Lagrangian frame is physically translated to a virtual volumetric flow for the Eulerian frame. As thus, the shared spatial boundary of the two frame at the interface remains unique in spite of the motion of the interface. This capability provides the possibility of dynamic data transactions between the two frames, which guarantees the continuity of these transformation (e. g., the power interactions of the system on the interface). The obtained capability can be a desirable tool in multiple-field dynamic investigations. Also, the proposed method by elimination of mesh regeneration in FSI transient solutions can open a new window in dynamic mesh techniques which leads to reducing the time cost of the solution. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Lagrange multipliers

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Genetic tool development in marine protists: emerging model organisms for experimental cell biology (vol 32, pg 187, 2020)

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NATURE METHODS 2020年第5期17卷 551-551页

作者： Faktorova, Drahomira Nisbet, R. Ellen R. Robledo, Jose A. Casacuberta, Elena Sudek, Lisa Allen, Andrew E. Ares, Manuel, Jr. Areste, Cristina Balestreri, Cecilia Barbrook, Adrian C. Beardslee, Patrick Bender, Sara Booth, David S. Bouget, Francois-Yves Bowler, Chris Breglia, Susana A. Brownlee, Colin Burger, Gertraud Cerutti, Heriberto Cesaroni, Rachele Chiurillo, Miguel A. Clemente, Thomas Coles, Duncan B. Collier, Jackie L. Cooney, Elizabeth C. Coyne, Kathryn Docampo, Roberto Dupont, Christopher L. Edgcomb, Virginia Einarsson, Elin Elustondo, Pia A. Federici, Fernan Freire-Beneitez, Veronica Freyria, Nastasia J. Fukuda, Kodai Garcia, Paulo A. Girguis, Peter R. Gomaa, Fatma Gornik, Sebastian G. Guo, Jian Hampl, Vladimir Hanawa, Yutaka Haro-Contreras, Esteban R. Hehenberger, Elisabeth Highfield, Andrea Hirakawa, Yoshihisa Hopes, Amanda Howe, Christopher J. Hu, Ian Ibanez, Jorge Irwin, Nicholas A. T. Ishii, Yuu Janowicz, Natalia Ewa Jones, Adam C. Kachale, Ambar Fujimura-Kamada, Konomi Kaur, Binnypreet Kaye, Jonathan Z. Kazana, Eleanna Keeling, Patrick J. King, Nicole Klobutcher, Lawrence A. Lander, Noelia Lassadi, Imen Li, Zhuhong Lin, Senjie Lozano, Jean-Claude Luan, Fulei Maruyama, Shinichiro Matute, Tamara Miceli, Cristina Minagawa, Jun Moosburner, Mark Najle, Sebastian R. Nanjappa, Deepak Nimmo, Isabel C. Noble, Luke Vanclova, Anna M. G. Nowacki, Mariusz Nunez, Isaac Pain, Arnab Piersanti, Angela Pucciarelli, Sandra Pyrih, Jan Rest, Joshua S. Rius, Mariana Robertson, Deborah Ruaud, Albane Ruiz-Trillo, Inaki Sigg, Monika A. Silver, Pamela A. Slamovits, Claudio H. Smith, G. Sprecher, Brittany N. Stern, Rowena Swart, Estienne C. Tsaousis, Anastasios D. Tsypin, Lev Turkewitz, Aaron Turnsek, Jernej Valach, Matus Verge, Valerie von Dassow, Peter von der Haar, Tobias Waller, Ross F. Wang, Lu Wen, Xiaoxue Wheeler, Glen Woods, April Zhang, Huan Mock, Thomas Worden, Alexandra Z. Lukes, Julius Institute of Parasitology Biology Centre Czech Academy of Sciences and Faculty of Sciences University of South Bohemia České Budějovice Czech Republic Department of Biochemistry University of Cambridge Cambridge UK Bigelow Laboratory for Ocean Sciences East Boothbay ME USA Institut de Biologia Evolutiva CSIC-Universitat Pompeu Fabra Barcelona Spain Monterey Bay Aquarium Research Institute Moss Landing CA USA Integrative Oceanography Division Scripps Institution of Oceanography University of California San Diego CA USA Microbial and Environmental Genomics J. Craig Venter Institute La Jolla CA USA Molecular Cell and Developmental Biology University of California Santa Cruz CA USA The Marine Biological Association Plymouth and School of Ocean and Earth Sciences University of Southampton Southampton UK School of Biological Sciences University of Nebraska Lincoln NE USA Gordon and Betty Moore Foundation Palo Alto CA USA Department of Molecular and Cell Biology University of California Berkeley CA USA Sorbonne Université CNRS UMR7621 Observatoire Océanologique Banyuls sur Mer France Institut de Biologie de l’Ecole Normale Supérieure (IBENS) Ecole Normale Supérieure CNRS INSERM Université PSL Paris France Centre for Comparative Genomics and Evolutionary Bioinformatics Dalhousie University Halifax Nova Scotia Canada Department of Biochemistry and Robert-Cedergren Centre for Bioinformatics and Genomics Université de Montréal Montreal Quebec Canada Institute of Cell Biology University of Bern Bern Switzerland Center for Tropical and Emerging Global Diseases University of Georgia Athens GA USA School of Marine and Atmospheric Sciences Stony Brook University Stony Brook NY USA Department of Botany University of British Columbia Vancouver British Columbia Canada University of Delaware College of Earth Ocean and Environment Lewes DE USA Woods Hole Oceanographic Institution Woods Hole MA USA Facultad Ciencias Biológicas Pontificia Universidad

Diverse microbial ecosystems underpin life in the sea. Among these microbes are many unicellular eukaryotes that span the diversity of the eukaryotic tree of life. However, genetic tractability has been limited to a few species, which do not represent eukaryotic diversity or environmentally relevant taxa. Here, we report on the development of genetic tools in a range of protists primarily from marine environments. We present evidence for foreign DNA delivery and expression in 13 species never before transformed and for advancement of tools for eight other species, as well as potential reasons for why transformation of yet another 17 species tested was not achieved. Our resource in genetic manipulation will provide insights into the ancestral eukaryotic lifeforms, general eukaryote cell biology, protein diversification and the evolution of cellular pathways.

关键词： Genetic models Molecular biology

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Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control

arXiv

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arXiv 2018年

作者： Li, Wenqing Zhao, Chunhui Huang, Biao State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G-2V4 Canada

For large-scale industrial processes under closed-loop control, process dynamics directly resulting from control action are typical characteristics and may show different behaviors between real faults and normal changes of operating conditions. However, conventional distributed monitoring approaches do not consider the closed-loop control mechanism and only explore static characteristics, which thus are incapable of distinguishing between real process faults and nominal changes of operating conditions, leading to unnecessary alarms. In this regard, this paper proposes a distributed monitoring method for closed-loop industrial processes by concurrently exploring static and dynamic characteristics. First, the large-scale closed-loop process is decomposed into several subsystems by developing a sparse slow feature analysis (SSFA) algorithm which capture changes of both static and dynamic information. Second, distributed models are developed to separately capture static and dynamic characteristics from the local and global aspects. Based on the distributed monitoring system, a two-level monitoring strategy is proposed to check different influences on process characteristics resulting from changes of the operating conditions and control action, and thus the two changes can be well distinguished from each other. Case studies are conducted based on both benchmark data and real industrial process data to illustrate the effectiveness of the proposed method. Copyright © 2018, The Authors. All rights reserved.

关键词： Process monitoring

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Stability Analysis and Bifurcation control of a Delayed Fractional Order GRNs Model

Stability Analysis and Bifurcation Control of a Delayed Frac...

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第37届中国控制会议

作者： Feng Liu Jie Ren Guang Ling Longsheng Wei Shiqi Zheng Hua Wang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Science Wuhan University of Technology Department of Mechanical Engineering Boston University

In this paper, a fractional order genetic regulatory network system（GRNs） with delay is considered. Firstly, the stability is investigated and the conditions of the existence for Hopf bifurcation are attained by analyzing it’s characteristic equation. Then combining the analysis we can derive that the fractional order GRNs will generate Hopf bifurcation as the GRNs with specific parameter values. A fractional PD controller can be used to control the bifurcation behaviors of the delayed fractional order GRNs. Finally, some numerical examples are exploited to illustrate the validity of theoretical analysis.

关键词： Stability Hopf bifurcation fractional order GRNs control

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Front Cover: Water-in-Water Droplets Selectively Uptake Self-Assembled DNA Nano/Microstructures: a Versatile Method for Purification in DNA Nanotechnology (ChemBioChem 17/2022)

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ChemBioChem 2022年第17期23卷 e202200394-e202200394页

作者： Dr. Marcos K. Masukawa Prof. Dr. Yusuke Sato Dr. Fujio Yu Prof. Dr. Kanta Tsumoto Prof. Dr. Kenichi Yoshikawa Prof. Dr. Masahiro Takinoue Department of Computer Science Tokyo Institute of Technology 4259 Nagatsuta-cho Midori-ku Yokohama Kanagawa 226-8502 Japan Frontier Research Institute for Interdisciplinary Sciences Tohoku University 6-3 Aramaki-Aza Aoba Aoba-ku Sendai Miyagi 980–8578 (Japan) Department of Intelligent and Control Systems Kyushu Institute of Technology 680-4 Kawazu Iizuka Fukuoka 820-8502 Japan Division of Chemistry for Materials Graduate School of Engineering Mie University 1577 Kurimamachiya-cho Tsu Mie 514-8507 Japan Center for Integrative Medicine and Physics Institute for Advanced Study Kyoto University Yoshida Ushinomiya-cho Sakyo-Ku Kyoto 606-8501 Japan Faculty of Life and Medical Sciences Doshisha University 1-3 Tataramiyakodani Kyotanabe Kyoto 610-0394 Japan

Dextran-rich droplets are generated in a polyethylene glycol-rich phase via liquid-liquid phase separation. This study demonstrates that the dextran-rich droplets can selectively uptake DNA nano/microstructures based on size and shape. This property is explored for constructing a versatile method for purifying DNA nano/microstructures. This method can be applied to various DNA nano/microstructures, including hexagons, triangles, and fibers, with a high yield and short preparation time. This picture shows the time variation of a spherical dextran-rich droplet capturing DNA nano/microstructures. More information can be found in the Research Article by M. Takinoue et al.

关键词： DNA microtubes DNA nanotechnology DNA origami liquid-liquid phase separation droplets purification

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Author Correction: Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)

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Nature cell biology 2024年第5期26卷 839页

作者： Sanjay Jain Liming Pei Jeffrey M Spraggins Michael Angelo James P Carson Nils Gehlenborg Fiona Ginty Joana P Gonçalves James S Hagood John W Hickey Neil L Kelleher Louise C Laurent Shin Lin Yiing Lin Huiping Liu Alexandra Naba Ernesto S Nakayasu Wei-Jun Qian Andrea Radtke Paul Robson Brent R Stockwell Raf Van de Plas Ioannis S Vlachos Mowei Zhou Katy Börner Michael P Snyder Department of Medicine Washington University School of Medicine St Louis MO USA. sanjayjain@wustl.edu. Department of Pediatrics Washington University School of Medicine St Louis MO USA. sanjayjain@wustl.edu. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. sanjayjain@wustl.edu. Center for Mitochondrial and Epigenomic Medicine Department of Pathology and Laboratory Medicine Children's Hospital of Philadelphia and Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. lpei@pennmedicine.upenn.edu. Department of Cell and Developmental Biology and the Mass Spectrometry Research Center Vanderbilt University School of Medicine Nashville TN USA. jeff.spraggins@vanderbilt.edu. Department of Pathology Stanford School of Medicine Stanford CA USA. Texas Advanced Computing Center University of Texas at Austin Austin TX USA. Department of Biomedical Informatics Harvard Medical School Boston MA USA. GE Research Center Niskayuna NY USA. Department of Intelligent Systems Delft University of Technology Delft Netherlands. Department of Pediatrics (Pulmonology) and Program for Rare and Interstitial Lung Disease University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Microbiology and Immunology Stanford University Stanford CA USA. Departments of Medicine Chemistry and Molecular Biosciences Northwestern University Evanston IL USA. Department of Obstetrics Gynecology and Reproductive Sciences University of California San Diego La Jolla CA USA. Division of Cardiology University of Washington School of Medicine Seattle WA USA. Department of Surgery Washington University School of Medicine St Louis MO USA. Departments of Pharmacology Medicine (Hematology and Oncology) Lurie Cancer Center Northwestern University Feinberg School of Medicine Chicago IL USA. Department of Physiology and Biophysics University of Illinois at Chicago Chicago IL USA. Biological Sciences Division

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