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9th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2016

作者： Verheyen, Davy Baka, Maria Noriega, Estefanía Vanimpe, Jan F.M. KU Leuven Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control OPTEC - Optimization in Engineering Center-of-Excellence CPMF2 - Flemish Cluster Predictive Microbiology in Foods Gebroeders De Smetstraat 1 GentB-9000 Belgium

ISBN: (纸本)9789077381922

Recently, food researchers are investigating natural plant extracts as milder food preservation technologies. Milder treatments might cause sublethal injury (SI), which is a major food safety concern. This study demonstrates that both grape seed extract and garlic extract are suitable to inactivate Listeria monocytogenes. Both extracts cause a significant amount of SI, which increases at more severe treatments. Finally, experimental results indicated that the thin agar layer (TAL) method is a promising alternative to the traditional method, which uses the difference between plate counts on general and selective media to determine SI. The TAL method is unable to determine the total viable population of healthy and injured micro-organisms as adequately as the general medium in the traditional method, but can be used to determine SI in real food products.

关键词： Food preservation

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Parameter estimations in predictive microbiology: How to build statistically sound secondary models 9

Parameter estimations in predictive microbiology: How to bui...

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9th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2016

作者： Akkermans, Simen Logist, Filip Vanimpe, Jan F.M. KU Leuven Department of Chemical Engineering BioTeC - Chemical and Biochemical Process Technology and Control OPTEC - Optimization in Engineering Center-of-Excellence CPMF2 - Flemish Cluster Predictive Microbiology in Foods Gebroeders De Smetstraat 1 GentB-9000 Belgium

ISBN: (纸本)9789077381922

When building models to describe the effect of environmental conditions on the microbial growth rate, parameter estimations can be performed either with a onestep method, i.e., directly on the cell density measurements, or in a two-step method, i.e., via the estimated growth rates. The two-step method is often preferred due to its simplicity. The current research demonstrates that the two-step method is, however, only valid if the correct data transformation is applied and a strict experimental protocol is followed for all experiments. Moreover, the one-step method leads to a better approximation of the confidence intervals on the estimated parameters. Therefore, the one-step method is preferred and the two-step method should be avoided.

关键词： Parameter estimation

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Correction: Synthesis of Bi2WO6/Na-bentonite composites for photocatalytic oxidation of arsenic(iii) under simulated sunlight

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RSC advances 2019年第70期9卷 40810页

作者： Quancheng Yang Yunxiang Dai Zijian Huang Jing Zhang Ming Zeng Changsheng Shi School of Chemical and Environmental Engineering China University of Mining and Technology Beijing 100083 P. R. China. Key Laboratory of Environmental Nano-Technology and Health Effect Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China jingzhang@***. Department of Environmental Engineering North China Institute of Science and Technology Beijing 101601 P. R. China northinstitute@***. National Engineering Laboratory for VOCs Pollution Control Materials & Technology University of Chinese Academy of Sciences Beijing 101408 P. R. China.

[This corrects the article DOI: 10.1039/C9RA06181A.].

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Macromol. Rapid Commun. 13/2018

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Macromolecular Rapid Communications 2018年第13期39卷

作者： Qin Dai He Zhao Zhuangjun Fan Wentao Zhao Guangwei Wang Jimei Zhang Rong Hou Penghui Du Hongbin Cao Beijing Engineering Research Center of Process Pollution Control Division of Environment Technology and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Superlight Materials and Surface Technology Ministry of Education College of Material Science and Chemical Engineering Harbin Engineering University Harbin 150001 China Department of Chemistry School of Science Tianjin University Tianjin 300072 China School of Chemistry and Biological Engineering Changsha University of Science and Technology Changsha 410114 China

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Constraints on Cosmic Strings Using Data from the Third Advanced LIGO–Virgo Observing Run

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Physical Review Letters 2021年第24期126卷 241102-241102页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Auclair P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo S. Barnum F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. D LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics and Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illi

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO–Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10−15. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

关键词： Cosmic strings & domain walls Gravitational waves

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A comparative study of the axisymmetric lattice Boltzmann models under the incompressible limit

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Computers & Mathematics with Applications 2017年第4期74卷 817-841页

作者： Liangqi Zhang Shiliang Yang Zhong Zeng Jie Chen Lingquan Wang Jia Wei Chew School of Chemical and Biomedical Engineering Nanyang Technological University Singapore 637459 Singapore Department of Engineering Mechanics College of Aerospace Engineering Chongqing University Chongqing 400044 PR China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing 400044 PR China Singapore Membrane Technology Center Nanyang Environment and Water Research Institute Nanyang Technological University Singapore 637141 Singapore

A comparative study on four axisymmetric lattice Boltzmann (LB) models, namely, the kinetic theory based model by Guo et al. (2009), the consistent model by Li et al. (2010), the centered scheme model by Zhou (2011), and our model (based on applying the centered scheme to the Guo et al. (2009) model), is conducted both theoretically and numerically. The finite difference interpretation of the LB method by Junk (2001) is applied to evaluate the accuracy of the models under the incompressible limit. Particularly, the finite difference stencils adopted for the spatial gradient terms in the macroscopic axisymmetric Navier–Stokes (N–S) equations are compared. Besides, the numerical performance (i.e., the numerical accuracy, stability and the convergence efficiency) of the models is compared by two benchmark tests, namely, the unsteady-state Womersley flow and the cylindrical cavity flow. The numerical results accord well with the theoretical analysis. Additionally, it is also found that the numerical stability of the axisymmetric LB models is effectively improved by removing the effects from the non-hydrodynamic variables.

关键词： Lattice Boltzmann method Axisymmetric flows Incompressible limit Finite difference interpretation

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Search for anisotropic gravitational-wave backgrounds using data from Advanced LIGO and Advanced Virgo’s first three observing runs

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Physical Review D 2021年第2期104卷 022005-022005页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic R. L. Byer L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illinois

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the Advanced LIGO and Advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called pystoch on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of gravitational-wave signals. Hence we derive 95% confidence-level upper limit sky maps on the gravitational-wave energy flux from broadband point sources, ranging from Fα,Θ<(0.013–7.6)×10−8 erg cm−2 s−1 Hz−1, and on the (normalized) gravitational-wave energy density spectrum from extended sources, ranging from Ωα,Θ<(0.57–9.3)×10−9 sr−1, depending on direction (Θ) and spectral index (α). These limits improve upon previous limits by factors of 2.9–3.5. We also set 95% confidence level upper limits on the frequency-dependent strain amplitudes of quasimonochromatic gravitational waves coming from three interesting targets, Scorpius X-1, SN 1987A and the Galactic center, with best upper limits range from h0<(1.7–2.1)×10−25, a factor of ≥2.0 improvement compared to previous stochastic radiometer searches.

关键词： Experimental studies of gravity General relativity Gravitational waves

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ERRATUM: “Versailles project on advanced materials and standards interlaboratory study on intensity calibration for x-ray photoelectron spectroscopy instruments using low-density polyethylene” [J. Vac. Sci. Technol. A 38, 063208 (2020)]

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Journal of Vacuum Science & Technology A 2021年第2期39卷

作者： Benjamen P. Reed David J. H. Cant Steve J. Spencer Abraham Jorge Carmona-Carmona Adam Bushell Alberto Herrera-Gómez Akira Kurokawa Andreas Thissen Andrew G. Thomas Andrew J. Britton Andrzej Bernasik Anne Fuchs Arthur P. Baddorf Bernd Bock Bill Theilacker Bin Cheng David G. Castner David J. Morgan David Valley Elizabeth A. Willneff Emily F. Smith Emmanuel Nolot Fangyan Xie Gilad Zorn Graham C. Smith Hideyuki Yasufuku Jeffrey L. Fenton Jian Chen Jonathan D. P. Counsell Jörg Radnik Karen J. Gaskell Kateryna Artyushkova Li Yang Lulu Zhang Makiho Eguchi Marc Walker Mariusz Hajdyła Mateusz M. Marzec Matthew R. Linford Naoyoshi Kubota Orlando Cortazar-Martínez Paul Dietrich Riki Satoh Sven L. M. Schroeder Tahereh G. Avval Takaharu Nagatomi Vincent Fernandez Wayne Lake Yasushi Azuma Yusuke Yoshikawa Claudia L. Compean-Gonzalez Giacomo Ceccone Alexander G. Shard 1National Physical Laboratory Hampton Road Teddington TW11 0LW United Kingdom 2CINVESTAV-Unidad Queretaro Queretaro 76230 Mexico 3Thermo Fisher Scientific (Surface Analysis) East Grinstead RH19 1XZ United Kingdom 4National Metrology Institute of Japan (NMIJ) National Institute of Advanced Industrial Science and Technology (AIST) 1-1-1 Higashi Tsukuba Ibaraki 305-8565 Japan 5SPECS Surface Nano Analysis GmbH Voltastraße 5 13355 Berlin Germany 6School of Materials Photon Science Institute and Sir Henry Royce Institute Alan Turing Building University of Manchester Oxford Road Manchester M13 9PL United Kingdom 7Versatile X-ray Spectroscopy Facility School of Chemical and Process Engineering University of Leeds Leeds LS2 9JT United Kingdom 8Academic Centre for Materials and Nanotechnology AGH University of Science and Technology 30-059 Kraków Poland 9Robert Bosch GmbH Robert-Bosch-Campus 71272 Renningen Germany 10Center for Nanophase Materials Sciences Oak Ridge National Laboratory 1 Bethel Valley Road Oak Ridge Tennessee 37830 11Tascon GmbH Mendelstr. 17 D-48149 Münster Germany 12Medtronic 710 Medtronic Parkway LT240 Fridley Minnesota 55432 13Analysis and Testing Center Beijing University of Chemical Technology Beijing 100029 People’s Republic of China 14National ESCA and Surface Analysis Center for Biomedical Problems Department of Bioengineering and Chemical Engineering University of Washington Seattle Washington 98195 15Cardiff Catalysis Institute School of Chemistry Cardiff University Main Building Cardiff CF10 3AT United Kingdom 16Physical Electronics Inc. East Chanhassen Minnesota 55317 17Versatile X-ray Spectroscopy Facility School of Design University of Leeds Leeds LS2 9JT United Kingdom 18Nanoscale and Microscale Research Centre University of Nottingham Nottingham NG7 2RD United Kingdom 19CEA-LETI 17 rue des Martyrs 38054 Grenoble France 20Instrumental Analysis & Research Center Sun Yat-sen University Guangzhou 510275 People’s Republic of C

The lead authors failed to name two collaborators as co-authors. The authors listed should include:

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Parametric uncertainty propagation for robust dynamic optimization of biological networks

Parametric uncertainty propagation for robust dynamic optimi...

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American control Conference

作者： Philippe Nimmegeers Dries Telen Mickey Beetens Filip Logist Jan Van Impe KU Leuven BioTeC+ - Chemical and Biochemical Process Technology and Control & OPTEC - Center of Excellence: Optimization in Engineering Department of Chemical Engineering Ghent Belgium

ISBN: (纸本)9781467386838

An important trend in biochemical industry is the search for a more sustainable operation. This requires an improved design and operation of processes with respect to economic, environmental and safety aspects. For an accurate macroscopic process control, multi-scale models based on microscopic systems biology insights are increasingly used. However, model uncertainty as well as external disturbances are inevitably present. Hence, there is a need for approaches which can guarantee process safety despite this presence of uncertainty in the model parameters. Therefore, techniques for the propagation of the parametric uncertainties to the states are vital for a robust process control. In this work, the potential of the polynomial chaos expansion approach is investigated for optimal control of a four step linear pathway with Michaelis-Menten kinetics by manipulating the enzyme expression rates.

关键词： Uncertainty Mathematical model Chaos Robustness Optimization Biological system modeling Linear programming Biological system modeling chaos linear programming Uncertainty Propagation Mathematical Model model parameters Uncertainty Robustness design improvement Parametric external disturbance model uncertainty

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Spin Self-Assembled Clay Nanocomposite Passivation Layers Made from a Photocrosslinkable Poly（vinyl alcohol） and Na^-Montmorillonite Enhance the Environmental Stability of Organic Thin-Film Transistors

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Chinese Journal of Chemistry 2016年第11期34卷 1103-1108页

作者： Hayoung Jeon Seonuk Park Sooji Nam Kwonwoo Shin Sung-Ryong Kim Se Hyun Kim Jaeyoung Jang Tae Kyu An POSTECH Organic Electronics Laboratory Polymer Research Institute Department of Chemical Engineering Pohang University of Science and Technology Pohang 790-784 Republic of Korea Smart I/O Control Device Research Section Electronics and Telecommunications Research Institute Daejeon 305- 700 Republic of Korea Nano Materials & Components Research Center Korea Electronics Technology Institute (KET1) Seongsam-si Gyeonggi-do 13509 Republic of Korea Department of Polymer Science & Engineering Korea National University of Transportation 50 Daekak-Ro Chungju 27469 Republic of Korea School of Chemical Engineering Yeungnam University 280 Daehak-Ro Gyeongsan Gyeongbuk 38541 Republic of Korea Department of Energy Engineering Hanyang University Seoul 133-791 Republic of Korea

We investigated the effects of the multilayer polymer-clay nanohybrid passivation films on the stability of pentacene organic thin-film transistors （OTFTs） exposed to air and UV irradiation. Well-ordered multilayer films were deposited by the spin-assisted layer-by-layer assembly method using photocrosslinkable poly（vinyl alcohol） with the N-methyl-4（4＇-formylstyryl）pyridinium methosulfate acetal group （SbQ-PVA） and Na＋-montmorillonite in a water-based solution process. When photocrosslinked, these SbQ-PVA/clay multilayers were found to serve as excellent barriers to 02 and UV-light. Moreover, when used as passivation layers, they enhanced the stability of pen- tacene OTFT devices exposed to air and UV radiation.

关键词： polymer-clay passivation layer-by-layer montmorillonite long-term stability

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