@article{PawlikPikovskij2006,
  author    = {Pawlik, Andreas H. and Pikovskij, Arkadij},
  title     = {Control of oscillators coherence by multiple delayed feedback},
  series = {Modern physics letters : A, Particles and fields, gravitation, cosmology, nuclear physics},
  volume    = {358},
  journal   = {Modern physics letters : A, Particles and fields, gravitation, cosmology, nuclear physics},
  number    = {3},
  publisher = {American Institute of Physics},
  address   = {Amsterdam},
  issn      = {0375-9601},
  doi       = {10.1016/j.physleta.2006.05.013},
  pages     = {181 -- 185},
  year      = {2006},
  abstract  = {We demonstrate that a multiple delayed feedback is a powerful tool to control coherence properties of autonomous self-sustained oscillators. We derive the equation for the phase dynamics in presence of noise and delay, and analyze it analytically. In Gaussian approximation a closed set of equations for the frequency and the diffusion constant is obtained. Solutions of these equations are in good agreement with direct numerical simulations.},
  language  = {en}
}
@misc{PowellLenhard2012,
  author    = {Powell, Anahid E. and Lenhard, Michael},
  title     = {Control of organ size in plants},
  series = {Current biology},
  volume    = {22},
  journal   = {Current biology},
  number    = {9},
  publisher = {Cell Press},
  address   = {Cambridge},
  issn      = {0960-9822},
  doi       = {10.1016/j.cub.2012.02.010},
  pages     = {R360 -- R367},
  year      = {2012},
  abstract  = {The size of plant organs, such as leaves and flowers, is determined by an interaction of genotype and environmental influences. Organ growth occurs through the two successive processes of cell proliferation followed by cell expansion. A number of genes influencing either or both of these processes and thus contributing to the control of final organ size have been identified in the last decade. Although the overall picture of the genetic regulation of organ size remains fragmentary, two transcription factor/microRNA-based genetic pathways are emerging in the control of cell proliferation. However, despite this progress, fundamental questions remain unanswered, such as the problem of how the size of a growing organ could be monitored to determine the appropriate time for terminating growth. While genetic analysis will undoubtedly continue to advance our knowledge about size control in plants, a deeper understanding of this and other basic questions will require including advanced live-imaging and mathematical modeling, as impressively demonstrated by some recent examples. This should ultimately allow the comparison of the mechanisms underlying size control in plants and in animals to extract common principles and lineage-specific solutions.},
  language  = {en}
}
@misc{PowellLenhard2012,
  author    = {Powell, Anahid E. and Lenhard, Michael},
  title     = {Control of organ size in plants},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  number    = {898},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43802},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-438029},
  pages     = {10},
  year      = {2012},
  abstract  = {The size of plant organs, such as leaves and flowers, is determined by an interaction of genotype and environmental influences. Organ growth occurs through the two successive processes of cell proliferation followed by cell expansion. A number of genes influencing either or both of these processes and thus contributing to the control of final organ size have been identified in the last decade. Although the overall picture of the genetic regulation of organ size remains fragmentary, two transcription factor/microRNA-based genetic pathways are emerging in the control of cell proliferation. However, despite this progress, fundamental questions remain unanswered, such as the problem of how the size of a growing organ could be monitored to determine the appropriate time for terminating growth. While genetic analysis will undoubtedly continue to advance our knowledge about size control in plants, a deeper understanding of this and other basic questions will require including advanced live-imaging and mathematical modeling, as impressively demonstrated by some recent examples. This should ultimately allow the comparison of the mechanisms underlying size control in plants and in animals to extract common principles and lineage-specific solutions.},
  language  = {en}
}
@article{ZaikinRosenblumLandaetal.1997,
  author    = {Zaikin, Alexei A. and Rosenblum, Michael and Landa, Polina S. and Kurths, J{\"u}rgen},
  title     = {Control of noise-induced oscillations of a pendulum with a rondomly vibrating suspension axis},
  year      = {1997},
  language  = {en}
}
@article{Zimmermann2000,
  author    = {Zimmermann, Bernhard},
  title     = {Control of insP(3)-induced Ca2+ oscillations in permeabilized blowfly salivary gland cells : contribution of mitochondria},
  issn      = {0022-3751},
  year      = {2000},
  language  = {en}
}
@article{Pueschel2004,
  author    = {P{\"u}schel, Gerhard Paul},
  title     = {Control of hepatocyte metabolism by sympathetic and parasympathetic hepatic nerves},
  year      = {2004},
  abstract  = {More than any other organ, the liver contributes to maintaining metabolic equilibrium of the body, most importantly of glucose homeostasis. It can store or release large quantities of glucose according to changing demands. This homeostasis is controlled by circulating hormones and direct innervation of the liver by autonomous hepatic nerves. Sympathetic hepatic nerves can increase hepatic glucose output; they appear, however, to contribute little to the stimulation of hepatic glucose output under physiological conditions. Parasympathetic hepatic nerves potentiate the insulin-dependent hepatic glucose extraction when a portal glucose sensor detects prandial glucose delivery from the gut. In addition, they might coordinate the hepatic and extrahepatic glucose utilization to prevent hypoglycemia and, at the same time, warrant efficient disposal of excess glucose.},
  language  = {en}
}
@article{LaubrockCajarEngbert2013,
  author    = {Laubrock, Jochen and Cajar, Anke and Engbert, Ralf},
  title     = {Control of fixation duration during scene viewing by interaction of foveal and peripheral processing},
  series = {Journal of vision},
  volume    = {13},
  journal   = {Journal of vision},
  number    = {12},
  publisher = {Association for Research in Vision and Opthalmology},
  address   = {Rockville},
  issn      = {1534-7362},
  doi       = {10.1167/13.12.11},
  pages     = {20},
  year      = {2013},
  abstract  = {Processing in our visual system is functionally segregated, with the fovea specialized in processing fine detail (high spatial frequencies) for object identification, and the periphery in processing coarse information (low frequencies) for spatial orienting and saccade target selection. Here we investigate the consequences of this functional segregation for the control of fixation durations during scene viewing. Using gaze-contingent displays, we applied high-pass or low-pass filters to either the central or the peripheral visual field and compared eye-movement patterns with an unfiltered control condition. In contrast with predictions from functional segregation, fixation durations were unaffected when the critical information for vision was strongly attenuated (foveal low-pass and peripheral high-pass filtering); fixation durations increased, however, when useful information was left mostly intact by the filter (foveal high-pass and peripheral low-pass filtering). These patterns of results are difficult to explain under the assumption that fixation durations are controlled by foveal processing difficulty. As an alternative explanation, we developed the hypothesis that the interaction of foveal and peripheral processing controls fixation duration. To investigate the viability of this explanation, we implemented a computational model with two compartments, approximating spatial aspects of processing by foveal and peripheral activations that change according to a small set of dynamical rules. The model reproduced distributions of fixation durations from all experimental conditions by variation of few parameters that were affected by specific filtering conditions.},
  language  = {en}
}
@article{SainovaMitevaNothoferetal.2000,
  author    = {Sainova, Dessislava and Miteva, T. and Nothofer, Heinz-Georg and Scherf, Ullrich and Fujikawa, H. and Glowacki, Ireneusz and Ulanski, J. and Neher, Dieter},
  title     = {Control of color and efficiency of light-emitting diodes based on polyfluorenes blended with hole-transporting molecules},
  year      = {2000},
  language  = {en}
}
@article{ScharsichLohwasserSommeretal.2012,
  author    = {Scharsich, Christina and Lohwasser, Ruth H. and Sommer, Michael and Asawapirom, Udom and Scherf, Ullrich and Thelakkat, Mukundan and Neher, Dieter and Koehler, Anna},
  title     = {Control of aggregate formation in poly(3-hexylthiophene) by solvent, molecular weight, and synthetic method},
  series = {Journal of polymer science : B, Polymer physics},
  volume    = {50},
  journal   = {Journal of polymer science : B, Polymer physics},
  number    = {6},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0887-6266},
  doi       = {10.1002/polb.23022},
  pages     = {442 -- 453},
  year      = {2012},
  abstract  = {Aggregate formation in poly(3-hexylthiophene) depends on molecular weight, solvent, and synthetic method. The interplay of these parameters thus largely controls device performance. In order to obtain a quantitative understanding on how these factors control the resulting electronic properties of P3HT, we measured absorption in solution and in thin films as well as the resulting field effect mobility in transistors. By a detailed analysis of the absorption spectra, we deduce the fraction of aggregates formed, the excitonic coupling within the aggregates, and the conjugation length within the aggregates, all as a function of solvent quality for molecular weights from 5 to 19 kDa. From this, we infer in which structure the aggregated chains pack. Although the 5 kDa samples form straight chains, the 11 and 19 kDa chains are kinked or folded, with conjugation lengths that increase as the solvent quality reduces. There is a maximum fraction of aggregated chains (about 55 +/- 5\%) that can be obtained, even for poor solvent quality. We show that inducing aggregation in solution leads to control of aggregate properties in thin films. As expected, the field-effect mobility correlates with the propensity to aggregation. Correspondingly, we find that a well-defined synthetic approach, tailored to give a narrow molecular weight distribution, is needed to obtain high field effect mobilities of up to 0.01 cm2/Vs for low molecular weight samples (=11 kDa), while the influence of synthetic method is negligible for samples of higher molecular weight, if low molecular weight fractions are removed by extraction.},
  language  = {en}
}
@book{Krahmer2006,
  author    = {Krahmer, Sebastian},
  title     = {Control flow integrity with ptrace()},
  series = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Informatik},
  volume    = {2006, 2},
  journal   = {Preprint / Universit{\"a}t Potsdam, Institut f{\"u}r Informatik},
  publisher = {Univ.},
  address   = {Potsdam},
  issn      = {0946-7580},
  pages     = {16 S.},
  year      = {2006},
  language  = {en}
}