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Chinese control Conference (CCC)

作者： Shengli Du Di Wu Yongfeng Gao Xu Li Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing P. R. China School of Control Science and Engineering Dalian University of Technology Dalian P. R. China School of Aeronautics and Astronautics Dalian University of Technology Dalian P. R. China

This paper is concerned with the semi-global output synchronization problem of a heterogeneous network under self-triggered control. A distributed self-triggered control scheme in which only local information is used to compute the triggering instants is proposed. In addition, the Zeno behavior can be excluded in the designed scheme. By adopting the low-gain technique, it is shown that the input saturation nonlinearity can be avoided if the parameter of the parameterized feedback gain is chosen small enough. The algorithm for implementing the self-triggered rule is also presented in the paper.

关键词： Multi-agent systems Synchronization Eigenvalues and eigenfunctions control systems Laplace equations Symmetric matrices Riccati equations

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Effects of drug resistance in the tumour-immune system with chemotherapy treatment

arXiv

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arXiv 2020年

作者： Trobia, José Gabrick, Enrique C. Seifert, Evandro G. Borges, Fernando S. Protachevicz, Paulo R. Szezech, José D. Iarosz, Kelly C. Santos, Moises S. Caldas, Iberê L. Tian, Kun Ren, Hai-Peng Grebogi, Celso Batista, Antonio M. Graduate Program in Science - Physics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Department of Mathematics and Statistics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Department of Physics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do CampoSP09606-045 Brazil Institute of Physics University of São Paulo São PauloSP05508-900 Brazil Faculty of Telêmaco Borba FATEB Telêmaco BorbaPR84266-010 Brazil Graduate Program in Chemical Engineering Federal Technological University of Paraná Ponta Grossa Paraná84016-210 Brazil Shaanxi Key Lab of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Xi’an Technological University Xi’an710021 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom

Cancer is a term used to refer to a large set of diseases. The cancerous cells grow and divide and, as a result, they form tumours that grow in size. The immune system recognise the cancerous cells and attack them, though, it can be weakened by the cancer. One type of cancer treatment is chemotherapy, which uses drugs to kill cancer cells. Clinical, experimental, and theoretical research has been developed to understand the dynamics of cancerous cells with chemotherapy treatment, as well as the interaction between tumour growth and immune system. We study a mathematical model that describes the cancer growth, immune system response, and chemotherapeutic agents. The immune system is composed of resting cells that are converted to hunting cells to combat the cancer. In this work, we consider drug sensitive and resistant cancer cells. We show that the tumour growth can be controlled not only by means of different chemotherapy protocols, but also by the immune system that attacks both sensitive and resistant cancer cells. Furthermore, for all considered protocols, we demonstrate that the time delay from resting to hunting cells plays a crucial role in the combat against cancer cells. Copyright © 2020, The Authors. All rights reserved.

关键词： Chemotherapy

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Author Correction: A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic

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Nature human behaviour 2022年第9期6卷 1318-1319页

作者： Ke Wang Amit Goldenberg Charles A Dorison Jeremy K Miller Andero Uusberg Jennifer S Lerner James J Gross Bamikole Bamikole Agesin Márcia Bernardo Olatz Campos Luis Eudave Karolina Grzech Daphna Hausman Ozery Emily A Jackson Elkin Oswaldo Luis Garcia Shira Meir Drexler Anita Penić Jurković Kafeel Rana John Paul Wilson Maria Antoniadi Kermeka Desai Zoi Gialitaki Elizaveta Kushnir Khaoula Nadif Olalla Niño Bravo Rafia Nauman Marlies Oosterlinck Myrto Pantazi Natalia Pilecka Anna Szabelska I M M van Steenkiste Katarzyna Filip Andreea Ioana Bozdoc Gabriela Mariana Marcu Elena Agadullina Matúš Adamkovič Marta Roczniewska Cecilia Reyna Angelos P Kassianos Minja Westerlund Lina Ahlgren Sara Pöntinen Gabriel Agboola Adetula Pinar Dursun Azuka Ikechukwu Arinze Nwadiogo Chisom Arinze Chisom Esther Ogbonnaya Izuchukwu L G Ndukaihe Ilker Dalgar Handan Akkas Paulo Manuel Macapagal Savannah Lewis Irem Metin-Orta Francesco Foroni Megan Willis Anabela Caetano Santos Aviv Mokady Niv Reggev Merve A Kurfali Martin R Vasilev Nora L Nock Michal Parzuchowski Mauricio F Espinoza Barría Marek Vranka Markéta Braun Kohlová Ivan Ropovik Mikayel Harutyunyan Chunhui Wang Elvin Yao Maja Becker Efisio Manunta Gwenael Kaminski Jordane Boudesseul Dafne Marko Kortnee Evans David M G Lewis Andrej Findor Anais Thibault Landry John Jamir Benzon Aruta Manuel S Ortiz Zahir Vally Ekaterina Pronizius Martin Voracek Claus Lamm Maurice Grinberg Ranran Li Jaroslava Varella Valentova Giovanna Mioni Nicola Cellini Sau-Chin Chen Janis Zickfeld Karis Moon Habiba Azab Neil Levy Alper Karababa Jennifer L Beaudry Leanne Boucher W Matthew Collins Anna Louise Todsen Kevin van Schie Jáchym Vintr Jozef Bavolar Lada Kaliska Valerija Križanić Lara Samojlenko Razieh Pourafshari Sandra J Geiger Julia Beitner Lara Warmelink Robert M Ross Ian D Stephen Thomas J Hostler Soufian Azouaghe Randy McCarthy Anna Szala Caterina Grano Claudio Singh Solorzano Gulnaz Anjum William Jimenez-Leal Maria Bradford Laura Calderón Pérez Julio E Cruz Vásquez Oscar J Galindo-Caballero Juan Cami Harvard Kennedy School Harvard University Cambridge MA USA. Harvard Business School Harvard University Cambridge MA USA. Kellogg School of Management Northwestern University Evanston IL USA. Department of Psychology Willamette University Salem OR USA. millerj@willamette.edu. Institute of Psychology University of Tartu Tartu Estonia. Harvard Kennedy School and Department of Psychology Harvard University Cambridge MA USA. Department of Psychology Stanford University Stanford CA USA. Adekunle Ajasin University Akungba Akoko Nigeria. Faculdade de Psicologia e Ciências da Educação Universidade do Porto Porto Portugal. University of Deusto Barakaldo Spain. University of Navarra Pamplona Spain. University of Valencia Valencia Spain. Stockholm University Stockholm Sweden. California State University Northridge Los Angeles CA USA. Indiana University of Pennsylvania Indiana PA USA. Universidad de Navarra Pamplona Spain. Department of Cognitive Psychology Institute of Cognitive Neuroscience Ruhr University Bochum Bochum Germany. Kindergarten Kustošija Zagreb Croatia. GC University Lahore Lahore Pakistan. Montclair State University Jersey City NJ USA. European University of Cyprus Nicosia Cyprus. Indiana University of Pennsylvania Akron PA USA. Leiden University Culemborg The Netherlands. Stockholm Sweden. Poggio Imperiale Italy. Barakaldo Spain. Islamabad Pakistan. Gent Belgium. Oxford Internet Institute University of Oxford Oxford UK. Warsaw Poland. Queen's University Belfast Belfast Ireland. Universiteit Leiden Leiden The Netherlands. Institute of Psychology Jagiellonian University Krakow Poland. Department of Psychology Lucian Blaga University of Sibiu Sibiu Romania. Carol Davila University of Medicine and Pharmacy Bucharest Romania. National Research University Higher School of Economics Moscow Russia. Institute of Psychology Faculty of Arts University of Presov Presov Slovakia. Institute of Social Sciences CSPS Sl

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Non-contact transportation and rotation of micro objects by vibrating glass needle circularly under water

Non-contact transportation and rotation of micro objects by ...

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2017 IEEE International Conference on Robotics and Automation, ICRA 2017

作者： Liu, Xiaoming Kojima, Masaru Shi, Qing Wang, Huaping Sun, Tao Mae, Yasushi Huang, Qiang Arai, Tatsuo Fukuda, Toshio Intelligent Robotics Institute School of Mechatronical Engineering Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing100081 China Department of Systems Innovation Osaka University 1-3 Machikaneyama Toyonaka Osaka560-8531 Japan Faculty of Science and Engineering Meijo University 1-501 Shiogamaguchi Tenpaku-ku Nagoya468-8502 Japan

ISBN: (纸本)9781509046331

In micromanipulation, lots of methods have been developed to manipulate objects in microscale. However, few of them can be applied in both the transportation and the rotation of the micro objects. In this paper, we present a novel method to realize the non-contact transportation and rotation of the micro objects based on the vibration-induced swirl flow. A piezo actuator is set between the glass needle and a metal rod. The sine wave with controlled frequency and amplitude is input into the piezo actuator to drive the glass needle to move circularly, which is caused by resonance of the actuator and the metal rod. We place the glass needle under water and keep a limited distance to the bottom. The circular vibration of the glass needle can generate a swirl flow and low pressure around it. The low pressure can trap and transport the micro objects vertically to the glass needle, and the swirl flow can rotate the objects continuously. Finally, we realize the trap and rotation of micro object with only one piezo actuator. Experiments of transportation and rotation of microbeads are carried out, and the results demonstrate it is a simple, low-cost, effective micromanipulation method. © 2017 IEEE.

关键词： Needles

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Using deep learning to recognize biomedical entities

Using deep learning to recognize biomedical entities

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International Conference on intelligent System and Knowledge engineering, ISKE

作者： Xuemin Yang Zhifei Zhang Ronggen Yang Daoyu Huang Geng Yang Lejun Gong Jiangsu Key Laboratory of Big Data Security &Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China Faculty Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing China

With the rapid growth of the high-throughput biological technology, it brings biomedical big omics' data containing literature and annotated data. Especially, a wealth of relevant information exists in various types of biomedical literature. Text mining has emerged as a potential solution to achieve knowledge for bridging between the free text and structured representation of biomedical information. In this work, we used deep learning to recognize biomedical entities. We obtained 84.0% precision, 69.5% recall, and 76.1% F-score aiming at the GENIA corpus, and obtained 91.3% precision, 91.1% recall, and 91.2% F-score aiming at the BioCreAtIvE II Gene Mention corpus. Experimental results show that our proposed approach is promising for developing biomedical text mining technology in biomedical entity recognition.

关键词： Machine learning Neural networks Text mining Dictionaries Distributed databases Biological system modeling Telecommunications

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Preface

Advances in Intelligent Systems and Computing

引用

Advances in intelligent Systems and Computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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Derivation languages of splicing P systems 12th

Derivation languages of splicing P systems

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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017

作者： Mahalingam, Kalpana Paul, Prithwineel Song, Bosheng Pan, Linqiang Subramanian, K.G. Department of Mathematics Indian Institute of Technology Madras Chennai600036 India Key Laboratory of Image Information Processing Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology WuhanHubei430074 China School of Electric and Information Engineering Zhengzhou University of Light Industry ZhengzhouHenan450002 China Faculty of Science Liverpool Hope University LiverpoolL16 9JD United Kingdom

ISBN: (纸本)9789811071782

Labelled splicing P systems are distributed parallel computing models, where sets of strings that evolve by splicing rules are labelled. In this work, we consider labelled splicing systems with the following modifications: (i) The strings in the membranes are present in arbitrary number of copies;(ii) the rules in the regions are finite in number. Results on the language family generated by the labelled splicing system in comparison with the language families of the Chomsky hierarchy, including recursively enumerable languages, are obtained, by involving only either one or two membranes in the P systems considered. © Springer Nature Singapore Pte Ltd 2017.

关键词： Distributed computer systems

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CTMC-based numerical analysis of cluster system with middle states in the case of common mode failure

CTMC-based numerical analysis of cluster system with middle ...

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International Conference on Computer and Information science (ACIS)

作者： Zhiguo Hong Minyong Shi Yongbin Wang Faculty of Science and Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9781509055081

By taking both CMF (Common Mode Failure) and middle states into account, numerical analysis of availability of cluster system is analyzed. Firstly, a CTMC (Continuous Time Markov Chain) model of cluster system containing three cluster nodes is constructed with failure rate (λ), repair rate (μ), CMF rate (γ), reconfiguration rate (β) and reset rate (δ) etc. Then the steady state solution of the CMTC model is concerned by solving the equations with the combination of several parameters. Subsequently, the effect of probability of being in automatic recovery mode (k) on availability of cluster system is analyzed and discussed via numerical values-based chart thereby. This work offers quantitative analysis of cluster system's availability.

关键词： Mathematical model Analytical models Numerical models Markov processes Steady-state Computers Reliability

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Correction: Photoluminescence tuning in carbon dots: surface passivation or/and functionalization, heteroatom doping

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Journal of Materials Chemistry C 2019年第10期7卷 3105-3105页

作者： Linbo Li Tao Dong Institute of Applied Micro-Nano Science and Technology – IAMNST Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing Chongqing Engineering Laboratory for Detection Control and Integrated System National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Nan'an District 400067 Chongqing China Institute for Microsystems – IMS Faculty of Technology Natural Sciences and Maritime Sciences University of South-Eastern Norway Postboks 235 3603 Kongsberg Norway

Correction for ‘Photoluminescence tuning in carbon dots: surface passivation or/and functionalization, heteroatom doping’ by Linbo Li et al., J. Mater. Chem. C, 2018, 6, 7944–7970.

Correction for ‘Photoluminescence tuning in carbon dots: surface passivation or/and functionalization, heteroatom doping’ by Linbo Li et al., J. Mater. Chem. C, 2018, 6, 7944–7970.

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MM-PBSA: Challenges and opportunities 10

MM-PBSA: Challenges and opportunities

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10th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2017

作者： Do Vale Hipolito Cavalheiro, Joao Pedro Pires, Nuno Miguel Matos Dong, Tao Institute of Applied Micro-Nano Science and Technology-IAMNST Chongqing Key Laboratory of Colleges Universities On Micro-Nano Systems Technology and Smart Transducing Chongqing Engineering Laboratory for Detection Control and Integrated System National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Chongqing China Department of Microsystems-IMS Faculty of Technology Natural Sciences and Maritime Sciences University College of Southeast Norway Kongsberg Norway P.O. Box 5003 ÅsN-1432 Norway

ISBN: (纸本)9781538619377

Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) is arguably the most popular method for free binding energy prediction since it is considerably more accurate than docking or scoring methods, but considerably less demanding than Free Energy Perturbation (FEP). In this review, the most important challenges and opportunities associated to this method were addressed and evaluated. The following conclusions were obtained: Accuracy of MM-PBSA calculations still strongly depends on the settings used for the prediction, the conditions in which Molecular Dynamics simulations (MD) are made, the conditions from which the experimental data are obtained, it depends on the presence of the complex structure and this method has also shown to be unable to provide accurate results for charged molecules. On the other hand, it presents many opportunities since many improvements were based on MM-PBSA calculations such as Single Amino Acid Mutation based change in Binding free Energy (SAAMBE), bootstrap, dampened Molecular Mechanics Poisson-Boltzmann Surface Area (dMM-PBSA), a high throughput method called g-mmpbsa, a method based on both MM-PBSA calculations and a scoring function, force fields for inhomogeneous protein specific environments and many other new ways of improving the accuracy of this promising method. This study intends to clarify what are the major trends in this field and thus contribute to increase MM-PBSA's applicability and efficiency. © 2017 IEEE.

关键词： Molecular dynamics

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