The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform
Debabrata Goswami - One of the best experts on this subject based on the ideXlab platform.
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Structure Property correlations in alcohols through two-photon absorption cross-section measurements
Chemical Physics Letters, 2006Co-Authors: Sherdeep Singh, Debabrata GoswamiAbstract:Two-photon absorption (TPA) cross-sections of neat alcohols are shown to be a femtosecond laser Measurable Property with useful structure Property correlations that are directly correlated to the self-phase modulation of the alcohol in question. The amount of self-phase modulation is shown to be a molecular structure dependent Property. The real and the imaginary components of the second-order hyperpolarizability are thus shown to be interrelated. Such TPA measurements prove that it is not possible to predict two-photon absorption properties by simple doubling the wavelengths of one-photon absorption spectra.
Sherdeep Singh - One of the best experts on this subject based on the ideXlab platform.
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Structure Property correlations in alcohols through two-photon absorption cross-section measurements
Chemical Physics Letters, 2006Co-Authors: Sherdeep Singh, Debabrata GoswamiAbstract:Two-photon absorption (TPA) cross-sections of neat alcohols are shown to be a femtosecond laser Measurable Property with useful structure Property correlations that are directly correlated to the self-phase modulation of the alcohol in question. The amount of self-phase modulation is shown to be a molecular structure dependent Property. The real and the imaginary components of the second-order hyperpolarizability are thus shown to be interrelated. Such TPA measurements prove that it is not possible to predict two-photon absorption properties by simple doubling the wavelengths of one-photon absorption spectra.
Manxi He - One of the best experts on this subject based on the ideXlab platform.
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Study on the Mathematic Model of Daily Variable Law for the Thickness of Plant Leaves
2006Co-Authors: Dongsheng Li, Manxi HeAbstract:In order to realize the precise control for the groaning condition of plant,the Measurable Property of plant is researched in the paper.First of all,it is developed that the instrument of suitable for plant leaves, which is based on the modern industricol metrology method.Two kinds of plant are measured by the instrument during more than 6 manths.The dayly variable regulation was found. So that the Measurable Property of thickness is performed. The pick time takes place at the noon. This phenomina becomes the keystone of next research step.The mathematic model was established in the paper which can become important theiry foundation for ferther research work of plant control.
Dongsheng Li - One of the best experts on this subject based on the ideXlab platform.
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Study on the Mathematic Model of Daily Variable Law for the Thickness of Plant Leaves
2006Co-Authors: Dongsheng Li, Manxi HeAbstract:In order to realize the precise control for the groaning condition of plant,the Measurable Property of plant is researched in the paper.First of all,it is developed that the instrument of suitable for plant leaves, which is based on the modern industricol metrology method.Two kinds of plant are measured by the instrument during more than 6 manths.The dayly variable regulation was found. So that the Measurable Property of thickness is performed. The pick time takes place at the noon. This phenomina becomes the keystone of next research step.The mathematic model was established in the paper which can become important theiry foundation for ferther research work of plant control.
Naama Brenner - One of the best experts on this subject based on the ideXlab platform.
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Multi-dimensional phenotype and long-term dynamics in individual bacteria
arXiv: Cell Behavior, 2016Co-Authors: Lee Susman, Jeffrey T. Nechleba, Hanna Salman, Naama BrennerAbstract:Genetically identical microbial cells typically display significant variability in every Measurable Property. In particular, highly abundant proteins - which can determine cellular behavior - exhibit large variability in copy number among individuals. Their distribution has a universal shape common to different proteins and microorganisms; the same distribution shape is measured both in populations and in single-cell temporal traces. Moreover, different highly expressed proteins are statistically correlated with cell size and with cell-cycle time. These results indicate coupling between Measurable properties in the cell and buffering of their statistics from the microscopic scale. We propose a modeling framework in which the complex intracellular processes produce a phenotype composed of many effectively interacting components. These interactions, as well as the imperfect nature of cell division events, provide a simple model that reconstructs many properties of phenotypic variability on several timescales. These include fluctuating accumulation rates along consecutive cell-cycles, with correlations among the rates of phenotype components; universal and non-universal properties of distributions; correlations between cell-cycle time and different phenotype components; and temporally structured autocorrelation functions with long ($\sim 10$ generation) timescales.