LEARNING CAPACITY AND FUNCTION OF STOCHASTIC REACTION NETWORKS

Learning capacity and function of stochastic reaction networks

Biochemical reaction networks are expected to encode an efficient representation of the function of cells in a variable environment.It is thus important to see how these networks do learn and implement such representations.The first step in this direction is to characterize the function Day Moisturiser and learning capabilities of basic artificial

read more

Taming Quantum Time Complexity

Quantum query complexity has several nice Beer Glass properties with respect to composition.First, bounded-error quantum query algorithms can be composed without incurring log factors through error reduction $exactness$.Second, through careful accounting $thriftiness$, the total query complexity is smaller if subroutines are mostly run on cheaper i

read more


Preparation, structural characterization, bioactivities, and potential clinical applications of the polysaccharides from Paris polyphylla: a review

The [Paris polyphylla Smith var.Yunnanensis (Franch.) Hand.- Mazz] (The following is denoted by P.polyphylla) contains various chemical components such as steroidal saponins, flavonoids, polysaccharides, amino acids, Beer Glass etc.It is a traditional Chinese medicinal herb with important medicinal value.So far, the pharmacological research on P.po

read more

Carbohydrate binding module-fused antibodies improve the performance of cellulose-based lateral flow immunoassays

Abstract Since the pandemic outbreak of Covid-19 Empty Bottles in December 2019, several lateral flow assay (LFA) devices were developed to enable the constant monitoring of regional and global infection processes.Additionally, innumerable lateral flow test devices are frequently used for determination of different clinical parameters, food safety,

read more