Search results for "Method"
showing 10 items of 13253 documents
Reinforcement learning in synthetic gene circuits.
2020
Synthetic gene circuits allow programming in DNA the expression of a phenotype at a given environmental condition. The recent integration of memory systems with gene circuits opens the door to their adaptation to new conditions and their re-programming. This lays the foundation to emulate neuromorphic behaviour and solve complex problems similarly to artificial neural networks. Cellular products such as DNA or proteins can be used to store memory in both digital and analog formats, allowing cells to be turned into living computing devices able to record information regarding their previous states. In particular, synthetic gene circuits with memory can be engineered into living systems to al…
The long journey towards standards for engineering biosystems: Are the Molecular Biology and the Biotech communities ready to standardise?
2020
Standards are the basis of technology: they allow rigorous description and exact measurement of properties, reliable reproducibility and a common “language” that enables different communities to work together. Molecular biology was in part created by physicists; yet, the field did not inherit the focus on the quantitation, the definition of system boundaries and the robust, unequivocal language that is characteristic of the other natural sciences. However, synthetic biology (SynBio) increasingly requires scientific, technical, operational and semantic standards for the field to become a full‐fledged engineering discipline with a high level of accuracy in the design, manufacturing and perfor…
The Impact of Artificial Intelligence on Traditional Chinese Medicine
2021
Traditional Chinese Medicine (TCM) is a well-established medical system with a long history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including TCM. AI will significantly improve the reliability and accuracy of diagnostics, thus increasing the use of effective therapeutic methods for patients. This systematic review provides an updated overview on the major breakthroughs in the field of AI-assisted TCM four diagnostic methods, syndrome differentiation, and treatment. AI-assisted TCM diagnosis is mainly based on digital data collected by modern electronic instruments, which makes TCM diagnosis more quantitative, objective, and standardized. As a result, th…
Author Correction: On the thermodynamic origin of metabolic scaling
2018
The origin and shape of metabolic scaling has been controversial since Kleiber found that basal metabolic rate of animals seemed to vary as a power law of their body mass with exponent 3/4, instead of 2/3, as a surface-to-volume argument predicts. The universality of exponent 3/4 -claimed in terms of the fractal properties of the nutrient network- has recently been challenged according to empirical evidence that observed a wealth of robust exponents deviating from 3/4. Here we present a conceptually simple thermodynamic framework, where the dependence of metabolic rate with body mass emerges from a trade-off between the energy dissipated as heat and the energy efficiently used by the organi…
Impact of the information provided to consumers on their willingness to pay for Champagne : comparison with hedonic scores
2002
International audience; L'étude a été effectuée afin de comparer deux mécanismes destinés à révéler les préférences des consommateurs : une enchère Vickrey qui mesure la disposition à payer, et un test hédonique classique. A travers ces deux méthodes, l'objectif était d'estimer les effets respectifs des caractéristiques sensorielles et de l'information externe sur l'évaluation de cinq champagnes brut non millésimés. Cent-ving-trois consommateurs ont été assignés au hasard aux deux groupes et ont utilisé l'une des méthodes. Quelle que soit la méthode, ils ont évalué les champagnes à l'aveugle, puis sur la base d'une présentation des bouteilles et, enfin, après l'observation de la bouteille e…
Efficient Online Laplacian Eigenmap Computation for Dimensionality Reduction in Molecular Phylogeny via Optimisation on the Sphere
2019
Reconstructing the phylogeny of large groups of large divergent genomes remains a difficult problem to solve, whatever the methods considered. Methods based on distance matrices are blocked due to the calculation of these matrices that is impossible in practice, when Bayesian inference or maximum likelihood methods presuppose multiple alignment of the genomes, which is itself difficult to achieve if precision is required. In this paper, we propose to calculate new distances for randomly selected couples of species over iterations, and then to map the biological sequences in a space of small dimension based on the partial knowledge of this genome similarity matrix. This mapping is then used …
Reverse-transcribing viruses (Belpaoviridae, Metaviridae, and Pseudoviridae)
2021
Fourth Edition.
Selenomethionine labeling of large biological macromolecular complexes: probing the structure of marine bacterial virus PM2.
2008
There is a need for improved tools for labeling protein species within large macromolecular assemblies. Here we describe a method for the efficient selenomethionine labeling of the membrane-containing bacterial virus PM2 for structural studies. By examining potential host cells a strain was found which was auxotrophic for methionine, and by performing a multiparameter search of conditions it was possible to derive a robust protocol which simultaneously minimized the toxic effects of the selenomethionine, so that a reasonable virus yield was maintained, whilst still achieving essentially complete labeling. This has allowed us to fingerprint the protein constituents of the virus in a relative…
Effects of Food Label Health and Nutrition Claims on Consumer Perceptions
2009
Two experiments are reported that examined consumers' perceptions of food package labels where health and nutrition claims were present and where they had been removed. Unlike previous studies examining the influence of information on perception, realistic materials were used. This was accomplished by presenting information on a computer as photo-realistic images of packages where claims had been removed by editing to give a without-claims condition. Automatic presentation of materials and data collection meant participants proceeded through the computer questionnaire without the presence of an experimenter. The experiment was conducted with both British and French consumers. No significant…
MAGA: A Supervised Method to Detect Motifs From Annotated Groups in Alignments
2020
Multiple sequence alignments are usually phylogenetically driven. They are studied in the framework of evolution. But sometimes, it is interesting to study residue conservation at positions unconstrained by evolutionary rules. We present a supervised method to access a layer of information difficult to appreciate visually when many protein sequences are aligned. This new tool (MAGA; http://cbdm-01.zdv.uni-mainz.de/~munoz/maga/ ) locates positions in multiple sequence alignments differentially conserved in manually defined groups of sequences.