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18篇 您的检索式:作者名="Cotsaftis"
    题名 作者 年代 出处 被引量
1Root-Specific Transcript Profiling of Contrasting Rice Genotypes in Response to Salinity Stress显示文摘提高的咸度强加渗透并且离子毒性在生活上强调房间并且要求大量的回答以便启用植物幸存。在在米饭( Oryza sativa )介绍抄本层次的更早的工作上造 FL478 射击,盐容忍的 indica recombinant 生来的线,和 IR29 ,盐敏感的栽培变种,抄本层次在这二就职的根以及在二另外的盐容忍的 indica 遗传型的根被比较, landrace Pokkali 和 recombinant 生来的线 IR63731 。这研究的目的是比较抄本在敏感并且容忍的线以便多半识别基因涉及工厂咸度忍耐,而非响应咸度本身。有到咸度忍耐的已知的连接的几个基因家庭的抄本侧面被描述(例如 HKT, NHX ) 。通过他们的盐应答,抄本层次,或 chromosomal 地点识别的一套基因的通常认为的功能(即在为咸度忍耐的 QTL 下面) 也被讨论。最后,在 FL478 的 Saltol 区域的父母起源进一步被调查。总的来说,介绍的数据集看起来柔韧,这个系统能为涉及咸度忍耐的新奇基因的发现提供可靠策略,似乎可能。Olivier Cotsaftis Darren Plett Alexander A.T. Johnson Harkamal Walia Clyde Wilson Abdelbagi M. Ismail Timothy J. Close Mark Tester Ute Baumann 2011Molecular Plant2011,4,1:14
2Transposon- mediated generation of T- DNA and marker- free rice plants expressing a Bt endotoxin gene显示文摘Cotsaftis O Sallaud C Breitler J C 2002Mol Breed2002,10,:1
3Transposon-mediated generation of T-DNA-and marker-free rice paints expressing a Bt endotoxin gene显示文摘COTSAFTIS 0 SALLAUD C BREITLER J C 2002Mol Breed2002,10,:1
4Transposon-mediated generation of T-DNA-and marker-free rice plants expressing a Bt endotexin gene 显示文摘Cotsaftis O Sallaud C Breitler J C 2002Mol Breed2002,10,:1
5Nomenclature for HKT transporters, key determinants of plant salinity tolerance 显示文摘Platten J D Cotsaftis O Berthomieu P 2006Trends in Plant Science2006,11,8:1
6Nomenclature for HKT transporters,key determinants of plant salinity tolerance显示文摘Platten J D Cotsaftis O Berthomieu P 2006Trends in Plant Science2006,11,:1
7Transposon-mediated generation of T-DNA-and marker-free rice plants expressing a Bt endotoxin gene显示文摘Cotsaftis O Sallaud C Breitler JC 0,,10:1
8Simulation of roll grinding system dynamics with rotor equations and speed control显示文摘L Yuan E keskinen M cotsaftis 2002Communications in Nonlinear Science&Numerical Simulation2002,7,3:1
9Transposon-mediated generation of T-DNA-and marker-free rice plants expressing a Bt endotoxin gene显示文摘Cotsaftis O Sallaud C Breitler JC 2002Mol Breed2002,10,:1
10Applications and prospect of the nonlinear decoupling method 显示文摘Cotsaftis M Robert J Rouff M 1998Computer Methods in Applied Mechanics and Engineering1998,154,34:1
11Nomenclature for HKT transporters, key determinants of plant salinity tolerance显示文摘Platten J D Cotsaftis O Berthomieu P 2006Trends in Plant Science2006,11,:1
12Arbuscular mycorrhizal inhibition of growth in barley cannot be attributed to extent of colonization, fungal phosphorus uptake or effects on expression of plant phosphate transporter genes 显示文摘Grace E J Cotsaftis Q Tester M Smith F A Smith S E 2009New Phytologist2009,181,4:1
13Transposon-medi- ated generation of T-DNA and marker-free rice plants express- ing a Bt endotoxin gene显示文摘Cotsaftis O Sallaud C Breitler J C 2002Mol Breeding2002,10,16:1
14Nomenclature for HKT transporter, key determinants of plant salinity tolerance显示文摘Platten J D Cotsaftis O Berthomieu P 2006Trends in Plant Science2006,11,8:1
15Transposon-mediated generation of T-DNA- and marker-free rice plants expressing a Bt endotoxin gene 显示文摘Cotsaftis O Sallaud C Breitler J C 2002Mol Breeding2002,10,3:1
16Integrated control for high accuracy complex sys- tcm显示文摘Cotsaftis M 2008Applied Mathematics and Computation2008,206,2:1
17Toward Global Complex Systems Control - The Autonomous Intelligence Challenge显示文摘Complex systems are the emerging new scientific frontier with modern technology advance and new parametric domains study in natural systems.An important challenge is,contrary to classical systems studied so far,the great difficulty in predicting their future behaviour from initial time because,by their very structure,interactions strength between system components is shielding completely their specific individual features.Independent of clear existence of strict laws complex systems are obeying like classical systems,it is however possible today to develop methods allowing to handle dynamical properties of such systems and to master their evolution.So the methods should be imperatively adapted to representing system self organization when becoming complex.This rests upon the new paradigm of passing from classical trajectory space to more abstract trajectory manifolds associated to natural system invariants characterizing complex system dynamics.The methods are basically of qualitative nature,independent of system state space dimension and,because of its generic impreciseness,privileging robustness to compensate for not well known system parameters and functional variations.This points toward the importance of control approach for complex system study in adequate function spaces,the more as for industrial applications there is now evidence that transforming a complicated man made system into a complex one is extremely beneficial for overall performance improvement.But this last step requires larger intelligence delegation to the system requiring more autonomy for exploiting its full potential.A well-defined,meaningful and explicit control law should be set by using equivalence classes within which system dynamics are forced to stay,so that a complex system described in very general terms can behave in a prescribed way for fixed system parameters value.Along the line traced by Nature for living creatures,the delegation is expressed at lower level by a change from regular trajectory space control to task space control following system reassessment into its complex stage imposed by the high level of interactions between system constitutive components.Aspects of this situation with coordinated action on both power and information fluxes are handled in a new and explicit control structure derived from application of Fixed Point Theorem which turns out to better perform than (also explicit) extension of Popov criterion to more general nonlinear monotonically upper bounded potentials bounding system dynamics discussed here.An interesting observation is that when correctly amended as proposed here,complex systems are not as commonly believed a counterexample to reductionism so strongly influential in Science with Cartesian method supposedly only valid for complicated systems.Michel Cotsaftis 2019Journal of Autonomous Intelligence2019,2,1:1
18The autonomous intelligence challenge显示文摘The considerable development of modern technology during last decades has been accompanied by improvements in associated adapted machines’ performance.The improvement process has always been guided by the same rules of researching higher efficiency and more secure effects each time.This leads to a progressive transfer of human action to more adapted and more specific effecting objects,from simple tools for elementary actions to more sophisticated machines for quite complex tasks.Each step of this transfer of human operator action has been realized by delegating to the effecting machine efficiency,accuracy,power and safety—basically all of technical nature and linked to power flux,with the human operator still keeping the mastery of the action to fulfil his own goals.Michel Cotsaftis 2018Journal of Autonomous Intelligence2018,1,1:0
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