Novel Optical Nanoprobes for Chemical and Biological Analysis starts with a brief introduction to several kinds of versatile nanomaterials with novel optical properties, such as gold/silver nanoparticles, quantum dots, upconversion nanoparticles and graphene. It mainly focuses on the latest sensor design strategies, which apply the optical properties of nanomaterials to various detection techniques including colorimetry, fluorescence, and surface-enhanced Raman scattering (SERS). These sensors are attractive owing to their high sensitivity, high specificity, and potential for easy quantification of targets in many applications, such as conventional chemical and biological analysis, clinical diagnosis, and intracellular system sensing as well as single-molecule detection. The challenges and future perspectives for optical nanoprobes are also presented, such as the increase in sensitivity for real environmental and clinical samples, the design and application of multifunctional nanoplatforms, and biocompatibility of nanomaterials.
Novel Optical Nanoprobes for Chemical and Biological Analysis starts with a brief introduction to several kinds of versatile nanomaterials with novel optical properties, such as gold/silver nanoparticles, quantum dots, upconversion nanoparticles and graphene. It mainly focuses on the latest sensor design strategies, which apply the optical properties of nanomaterials to various detection techniques including colorimetry, fluorescence, and surface-enhanced Raman scattering (SERS). These sensors are attractive owing to their high sensitivity, high specificity, and potential for easy quantification of targets in many applications, such as conventional chemical and biological analysis, clinical diagnosis, and intracellular system sensing as well as single-molecule detection. The challenges and future perspectives for optical nanoprobes are also presented, such as the increase in sensitivity for real environmental and clinical samples, the design and application of multifunctional nanoplatforms, and biocompatibility of nanomaterials.
The heaven and earth was in chaos as the heavens took on the shape of three souls, bringing their creations, the Heaven's Path Divine Artifact, into the cycle of reincarnation, and condensing the Heaven's Path aura. The grandmaster of arcane arts, Chu Batian, a 21st century fan of metaphysics and ancient literature, reincarnated and became one with three souls, becoming a legend of his generation, the god of extreme joy, Li Tianle. Alchemy, weapon crafting, talisman drawing, and puppet controlling were all very interesting. They teased geniuses, played with the strong, and oppressed the heavens. Close]
Quantile Regression, the first book of Hao and Naiman′s two-book series, establishes the seldom recognized link between inequality studies and quantile regression models. Though separate methodological literature exists for each subject, the authors seek to explore the natural connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on assumptions as restrictive as those for the classical linear regression; though more traditional models such as least squares linear regression are more widely utilized, Hao and Naiman show, in their application of quantile regression to empirical research, how this model yields a more complete understanding of inequality. Inequality is a perennial concern in the social sciences, and recently there has been much research in health inequality as well. Major software packages have also gradually implemented quantile regression. Quantile Regression will be of interest not only to the traditional social science market but other markets such as the health and public health related disciplines. Key Features: Establishes a natural link between quantile regression and inequality studies in the social sciences Contains clearly defined terms, simplified empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software popular among social scientists Oriented to empirical research
Through developing a decomposition analysis of the inequality measures and promoting their effective use in research, this book provides readers with a step-by-step understanding of the inequality measures that are currently used.
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