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Evolution of innovative behaviors on scale-free networks

Frontiers of physics 2018年第4期13卷 275-283页

作者： Ying-Ting Lin Xiao-Pu Han Bo-Kui Chen Jun Zhou Bing-Hong Wang Department of Physics and Electronic Information Engineering Minjiang University Fuzhou 350108 China Alibaba Research Center for Complexity Sciences Hangzhou Normal University Hangzhou 311121 China Division of Logistics and Transportation Graduate School at Shenzhen Tsinghua University Shenzhen 518055 China Department of Computer Science School of Computing National University of Singapore Singapore 117417 Singapore Department of Modern Physics and Nonlinear Science Center University of Science and Technology of China Hefei 230026 China

Innovation, which involves technological transformation and management reorganization, brings about significant changes in modern society. In this paper, to investigate how innovations can be promoted, we propose a game-based model to study the co-evolutionary dynamics of human innovative behaviors. A simulation on scale-free networks is conducted, in which the innovative behavior of each node is determined and updated based on the feedback regarding its innovation, namely the diffusion of the innovation status. Numerical simulations of the model generate a series of patterns, which is consistent with people＇s daily experiences and perceptions as regards real-world innovative behaviors. Specifically, various scaling spatiotemporal properties and rich structural impacts on dynamics can be observed. This model provides a novel approach to understand the evolution of innovative behaviors and provides insight for strategy studies of innovation promotion.

关键词： innovative behaviors innovation diffusion evolutionary game coevolution dynamics scale-free networks

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Publisher Correction: High-efficiency stretchable light-emitting polymers from thermally activated delayed fluorescence

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Nature materials 2023年 2023 May 19页

作者： Wei Liu Cheng Zhang Riccardo Alessandri Benjamin T Diroll Yang Li Heyi Liang Xiaochun Fan Kai Wang Himchan Cho Youdi Liu Yahao Dai Qi Su Nan Li Songsong Li Shinya Wai Qiang Li Shiyang Shao Lixiang Wang Jie Xu Xiaohong Zhang Dmitri V Talapin Juan J de Pablo Sihong Wang Pritzker School of Molecular Engineering The University of Chicago Chicago IL USA. Nanoscience and Technology Division Argonne National Laboratory Lemont IL USA. Institute of Functional Nano & Soft Materials (FUNSOM) Joint International Research Laboratory of Carbon-Based Functional Materials and Devices Soochow University Suzhou China. Department of Chemistry and James Franck Institute The University of Chicago Chicago IL USA. Department of Materials Science and Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea. State Key Laboratory of Polymer Physics and Chemistry Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun China. State Key Laboratory of Marine Resource Utilization in South China Sea School of Materials Science and Engineering Hainan University Haikou China. Jiangsu Key Laboratory of Advanced Negative Carbon Technologies Soochow University Suzhou China. Pritzker School of Molecular Engineering The University of Chicago Chicago IL USA. depablo@uchicago.edu. Center for Molecular Engineering Argonne National Laboratory Lemont IL USA. depablo@uchicago.edu. Pritzker School of Molecular Engineering The University of Chicago Chicago IL USA. sihongwang@uchicago.edu. Nanoscience and Technology Division Argonne National Laboratory Lemont IL USA. sihongwang@uchicago.edu. Center for Molecular Engineering Argonne National Laboratory Lemont IL USA. sihongwang@uchicago.edu.

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A framework of biomarkers for brain aging: a consensus statement by the Aging Biomarker Consortium

Life Medicine

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Life Medicine 2023年第3期2卷 5页

作者： Aging Biomarker Consortium,Yu-Juan Jia Jun Wang Jun-Rong Ren Piu Chan Shengdi Chen Xiao-Chun Chen Jagadish K Chhetri Junhong Guo Qihao Guo Lingjing Jin Qiang Liu Wenlin Ma Zhiyong Mao Moshi Song Weihong Song Yi Tang Difei Wang Peijun Wang Lize Xiong Keqiang Ye Junjian Zhang Weiqi Zhang Xiaoqing Zhang Yunwu Zhang Zhanjun Zhang Zhuohua Zhang Jialin Zheng Guang-Hui Liu Yi Eve Sun Yan-Jiang Wang Gang Pei Department of Neurology and Centre for Clinical Neuroscience Daping Hospital Third Military Medical University Chongqing 400042 China Department of Neurology First Affiliated Hospital Shanxi Medical University Taiyuan 030001 China Department of Neurology and Centre for Clinical Neuroscience Daping Hospital Third Military Medical University Chongqing 400042 China National Clinical Research Center for Geriatric Diseases Xuanwu Hospital Capital Medical University Beijing 100053 China Department of Neurology and Institute of Neurology Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai 200025 China Department of Neurology Union Hospital of Fujian Medical University Fuzhou 350001 China Department of Neurology First Affiliated Hospital Shanxi Medical University Taiyuan 030001 China Department of Gerontology Shanghai Sixth People?s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai 200233 China Department of Neurology and Neurological Rehabilitation Shanghai Disabled Persons? Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center) Tongji University School of Medicine Shanghai 200092 China Institute on Aging and Brain Disorders The First Affiliated Hospital of USTC Hefei National Laboratory for Physical Sciences at the Microscale Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230026 China Department of Neurology Institute of Neuroimmunology Tianjin Medical University General Hospital Tianjin 300052 China Department of Cardiology Shanghai Tongji Hospital Tongji University School of Medicine Shanghai 200092 China Shanghai Key Laboratory of Maternal Fetal Medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital Frontier Science Center for Stem Cell Research Shanghai Key Laboratory of Signaling and Disease Research School of Lif

China and the world are facing severe population aging and an increasing burden of age-related diseases. Aging of the brain causes major age-related brain diseases, such as neurodegenerative diseases and stroke. Identifying biomarkers for the effective assessment of brain aging and establishing a brain aging assessment system could facilitate the development of brain aging intervention strategies and the effective prevention and treatment of aging-related brain diseases. Thus, experts from the Aging Biomarker Consortium (ABC) have combined the latest research results and practical experience to recommend brain aging biomarkers and form an expert consensus, aiming to provide a basis for assessing the degree of brain aging and conducting brain-aging-related research with the ultimate goal of improving the brain health of elderly individuals in both China and the world.

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The application of an extracellular vesicle-based biosensor in early diagnosis and prediction of chemoresponsiveness in ovarian cancer

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Cancer Letters 2024年 581卷 216533-216533页

作者： Tsang, Benjamin K. Asare-Werehene, Meshach Hunter, Rob Gerber, Emma Reunov, Arkadiy Brine, Isaiah Chang, Chia-Yu Chang, Chia-Ching Shieh, Dar-Bin Burger, Dylan Anis, Hanan Departments of Obstetrics & Gynecology and Cellular & Molecular Medicine Centre for Infection Immunity and Inflammation Interdisciplinary School of Health Sciences University of Ottawa Ottawa ON K1N 6N5 Canada Chronic Disease Program Ottawa Hospital Research Institute The Ottawa Hospital Ottawa ON K1Y 4E9 Canada Department of Biology St. Francis Xavier University 2320 Notre Dame Avenue Antigonish NS B2G 2W5 Canada School of Electrical Engineering and Computer Science Ottawa-Carleton Institute for Biomedical Engineering University of Ottawa Ottawa ON K1N 6N5 Canada Department of Biological Science and Department of Electrophysics Technology Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu 30068 Taiwan Institute of Basic Medical Science Institute of Oral Medicine and Department of Stomatology Advanced Optoelectronic Technology Center and Center for Micro/Nano Science and Technology National Cheng Kung University Hospital National Cheng Kung University Tainan 704 Taiwan Institute of Physics Academia Sinica Taipei 10529 Taiwan

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Observing and modeling the sequential pairwise reactions that drive solidstate ceramic synthesis

arXiv

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arXiv 2020年

作者： Miura, Akira Bartel, Christopher J. Goto, Yusuke Mizuguchi, Yoshikazu Moriyoshi, Chikako Kuroiwa, Yoshihiro Wang, Yongming Yaguchi, Toshie Shirai, Manabu Nagao, Masanori Rosero-Navarro, Nataly Carolina Tadanaga, Kiyoharu Ceder, Gerbrand Sun, Wenhao Faculty of Engineering Hokkaido University Sapporo060-8628 Japan Department of Materials Science and Engineering UC Berkeley BerkeleyCA94720 United States Department of Physics Tokyo Metropolitan University Hachioji192-0397 Japan Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashihiroshima739-8526 Japan Creative Research Institution Hokkaido University Kita 21 Nishi 10 Sapporo001-0021 Japan Hitachi High-Tech Corporation Ichige 882 Hitachinaka312-8504 Japan Center for Crystal Science and Technology University of Yamanashi Kofu400-8511 Japan Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Materials Science and Engineering University of Michigan Ann ArborMI48109 United States

Solid-state synthesis from powder precursors is the primary processing route to advanced multicomponent ceramic materials. Designing ceramic synthesis routes is usually a laborious, trialand- error process, as heterogeneous mixtures of powder precursors often evolve through a complicated series of reaction intermediates. Here, we show that phase evolution from multiple precursors can be modeled as a sequence of pairwise interfacial reactions, with thermodynamic driving forces that can be efficiently calculated using ab initio methods. Using the synthesis of the classic high-temperature superconductor YBa2Cu3O6+x(YBCO) as a representative system, we rationalize how replacing the common BaCO3precursor with BaO2redirects phase evolution through a kinetically-facile pathway. Our model is validated from in situ X-ray diffraction and in situ microscopy observations, which show rapid YBCO formation from BaO2in only 30 minutes. By combining thermodynamic modeling with in situ characterization, we introduce a new computable framework to interpret and ultimately design synthesis pathways to complex ceramic materials. Copyright © 2020, The Authors. All rights reserved.

关键词： Barium compounds

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A Tale of Two Isomers: Enhanced Antiaromaticity/Diradical Character versus Deleterious Ring-Opening of Benzofuran-fuseds-Indacenes and Dicyclopenta[b,g]naphthalenes

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Angewandte Chemie 2021年第41期133卷

作者： Joshua E. Barker Tavis W. Price Lucas J. Karas Dr. Ryohei Kishi Dr. Samantha N. MacMillan Dr. Lev N. Zakharov Prof. Carlos J. Gómez-García Prof. Judy I. Wu Prof. Masayoshi Nakano Prof. Michael M. Haley Department of Chemistry and Biochemistry and the Materials Science Institute University of Oregon Eugene Oregon 97403-1253 USA Department of Chemistry University of Houston Houston Texas 77204 USA Department of Materials Engineering Science Graduate School of Engineering Science and Center for Quantum Information and Quantum Biology International Advanced Research Institute (QIQB-IARI) Osaka University Toyonaka Osaka 560-8531 Japan Division of Quantum Photochemical Engineering Research Center for Solar Energy Chemistry (RCSEC) Graduate School of Engineering Science Osaka University 1-1 Machikaneyama Toyonaka Osaka 560-0043 Japan Department of Chemistry & Chemical Biology Cornell University Ithaca New York 14853 USA Center for Advanced Materials Characterization at Oregon (CAMCOR) University of Oregon Eugene Oregon 97403-1433 USA Department of Inorganic Chemistry and Instituto de Ciencia Molecular Universidad de Valencia 46980 Paterna Spain Innovative Catalysis Science Division Institute for Open and Transdisciplinary Research Initiatives (ICS-OTRI) Osaka University Suita Osaka 565-0871 Japan Center for Spintronics Research Network (CSRN) Graduate School of Engineering Science Osaka University Toyonaka Osaka 560-8531 Japan

We examine the effects of fusing two benzofurans to s -indacene (indacenodibenzofurans, IDBFs) and dicyclopenta[ b,g ]naphthalene (indenoindenodibenzofurans, IIDBFs) to control the strong antiaromaticity and diradical character of these core units. Synthesis via 3-functionalized benzofuran yields syn -IDBF and syn -IIDBF. syn -IDBF possesses a high degree of paratropicity, exceeding that of the parent hydrocarbon, which in turn results in strong diradical character for syn -IIDBF. In the case of the anti -isomers, synthesized via 2-substituted benzofurans, these effects are decreased; however, both derivatives undergo an unexpected ring-opening reaction during the final dearomatization step. All the results are compared to the benzothiophene-fused analogues and show that the increased electronegativity of oxygen in the syn -fused derivatives leads to enhancement of the antiaromatic core causing greater paratropicity. For syn -IIDBF increased diradical character results from rearomati-zation of the core naphthalene unit in order to relieve this paratropicity.

关键词： antiaromaticity diradicaloid heterocycles indacene polycyclic hydrocarbons

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RETRACTED ARTICLE: Codelivery of HIF-1α siRNA and Dinaciclib by Carboxylated Graphene Oxide-Trimethyl Chitosan-Hyaluronate Nanoparticles Significantly Suppresses Cancer Cell Progression

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Pharmaceutical research 2020年第10期37卷 1-20页

作者： Izadi, Sepideh Moslehi, Asma Kheiry, Hadiseh Karoon Kiani, Fariba Ahmadi, Armin Masjedi, Ali Ghani, Sepideh Rafiee, Behnam Karpisheh, Vahid Hajizadeh, Farnaz Atyabi, Fatemeh Assali, Akram Mirzazadeh tekie, Farnaz Sadat Namdar, Afshin Ghalamfarsa, Ghasem Sojoodi, Mozhdeh Jadidi-Niaragh, Farhad Immunology Research Center Tabriz University of Medical Sciences Tabriz Iran Student Research Committee Tabriz University of Medical Sciences Tabriz Iran Division of Genetics Department of Biology Faculty of Science University of Isfahan Isfahan Iran Department of Chemical and Materials Engineering The University of Alabama in Huntsville Huntsville USA Drug Applied Research Center Tabriz University of Medical Sciences Tabriz Iran Student Research Committee Department of Biotechnology School of Advanced Technologies in Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Department of Biology Faculty of Basic Science Payame Noor University Tehran Iran Nanotechnology Research Centre Faculty of Pharmacy Tehran University of Medical Sciences Tehran Iran Department of radiopharmacy Faculty of Pharmacy Tehran University of Medical Sciences Tehran Iran Department of Oncology Cross Cancer Institute The University of Alberta Edmonton Canada Cellular and Molecular Research Center Yasuj University of Medical Sciences Yasuj Iran Division of Surgical Oncology Massachusetts General Hospital Cancer Center and Harvard Medical School Boston USA Department of Immunology Faculty of Medicine Tabriz University of Medical Sciences Tabriz Iran

Hypoxia-inducible factor (HIF) is one of the critical components of the tumor microenvironment that is involved in tumor development. HIF-1α functionally and physically interacts with CDK1, 2, and 5 and stimulates the cell cycle progression and Cyclin-Dependent Kinase (CDK) expression. Therefore, hypoxic tumor microenvironment and CDK overexpression lead to increased cell cycle progression and tumor expansion. Therefore, we decided to suppress cancer cell expansion by blocking HIF-1α and CDK molecules. In the present study, we used the carboxylated graphene oxide (CGO) conjugated with trimethyl chitosan (TMC) and hyaluronate (HA) nanoparticles (NPs) loaded with HIF-1α-siRNA and Dinaciclib, the CDK inhibitor, for silencing HIF-1α and blockade of CDKs in CD44-expressing cancer cells and evaluated the impact of combination therapy on proliferation, metastasis, apoptosis, and tumor growth. The results indicated that the manufactured NPs had conceivable physicochemical properties, high cellular uptake, and low toxicity. Moreover, combination therapy of cancer cells using CGO-TMC-HA NPs loaded with HIF-1α siRNA and Dinaciclib (SCH 727965) significantly suppressed the CDKs/HIF-1α and consequently, decreased the proliferation, migration, angiogenesis, and colony formation in tumor cells. These results indicate the ability of CGO-TMC-HA NPs for dual drug/gene delivery in cancer treatment. Furthermore, the simultaneous inhibition of CDKs/HIF-1α can be considered as a novel anti-cancer treatment strategy; however, further research is needed to confirm this treatment in vivo.

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MemNetAR: Memory Network with Adversative Relation for Target-Level Sentiment Classification

MemNetAR: Memory Network with Adversative Relation for Targe...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Yiwei Gao Jianwei Niu Xuefeng Liu Kaili Mao Shui Yu State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beihang University Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) Beihang University Hangzhou Innovation Research Institute Beihang University School of Computer Science and Cyber Engineering Guangzhou University Guangdong China

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

Target-level sentiment classification aims to identify the sentiment of multiple targets in a sentence. Although existing approaches based on neural network have achieved good performance in this task, we find that many approaches tend to give the same predictions for instances that have multiple targets, and this tendency can make a low accuracy for those instances that have different classes for different targets. Based on this observation, we propose MemNetAR, a memory network which can explicitly leverage the adversative relation among multiple targets in a sentence. Specifically, we add an adversative loss to the cross-entropy loss when there are adversative words between targets. The experimental results on public laptop and restaurant datasets prove that our model can improve 0.84% and 0.8% on total test dataset, and improve 2.97% and 2.68% on the dataset consisting of those instances with multiple targets but different classes by leveraging this new adversative information.

关键词： Task analysis Feature extraction Sentiment analysis Portable computers Machine learning Training Predictive models

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A new nonlinear oscillator with infinite number of coexisting hidden and self-excited attractors

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Chinese Physics B 2018年第4期27卷 208-213页

作者： Yan-Xia Tang Abdul Jalil M Khalaf Karthikeyan Rajagopal Viet-Thanh Pham Sajad Jafari Ye Tian College of Science Hebei North University Zhangjiakou 075000 China Engineering Technology Research Center of Population Health lnformatization in Hebei Province Zhangjiakou 075000 China Department of Mathematics Faculty of Computer Science and Mathematics University of Kufa Najaf Iraq Department of Electrical and Communication Engineering the PNG University of Technology Lae Centre for Nonlinear Dynamics Defense University Ethiopia Modeling Evolutionary Algorithms Simulation and Artificial Intelligence Faculty of Electrical & Electronics Engineering Ton Duc Thang University Ho Chi Mirth City Vietnam Biomedical Engineering Department Amirkabir University of Technology Tehran 15875-4413 Iran

In this paper,we introduce a new two-dimensional nonlinear oscillator with an infinite number of coexisting limit *** limit cycles form a layer-by-layer structure which is very *** percent of these limit cycles are self-excited attractors while sixty percent of them are hidden *** this new system to its forced version,we introduce a new chaotic system with an infinite number of coexisting strange *** implement this system through field programmable gate arrays.

关键词： chaotic oscillators multistability hidden attractors

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Communication cost of quantum channels

arXiv

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arXiv 2020年

作者： Yang, Yuxiang Chiribella, Giulio Hayashi, Masahito Institute for Theoretical Physics ETH Zurich Department of Computer Science University of Hong Kong Pokfulam Road Hong Kong Department of Computer Science University of Oxford Parks Road Oxford United Kingdom HKU Shenzhen Institute of Research and Innovation Kejizhong 2nd Road Shenzhen China Perimeter Institute For Theoretical Physics 31 Caroline Street North WaterlooONN2L 2Y5 Canada Graduate School of Mathematics Nagoya University Nagoya464-8602 Japan Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen518055 China Center for Quantum Computing Peng Cheng Laboratory Shenzhen518000 China Centre for Quantum Technologies National University of Singapore 3 Science Drive 2 117542 Singapore

In distributed computing, it is common for a server to execute a program of a remote client, consuming the minimum amount of communication. We extend such a setting to the quantum regime and consider the task of communicating quantum channels for the purpose of executing them a given number of times. We derive a general lower bound for the amount of required communication. The bound shows that the amount of required communication is positively correlated to the performance of the channels in quantum metrology. We also propose a protocol achieving the bound for a type of channels. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum entanglement

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