On enantiomorph-polarity estimation
The behaviour of Rogers's η parameter for enantiomorph-polarity estimation is examined theoretically and experimentally on simulated intensity data for seven well-assorted compo...
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The behaviour of Rogers's η parameter for enantiomorph-polarity estimation is examined theoretically and experimentally on simulated intensity data for seven well-assorted compo...
Phonon plays essential roles in dynamical behaviors and thermal properties, which are central topics in fundamental issues of materials science. The importance of first principl...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTExact stochastic simulation of coupled chemical reactionsDaniel T. GillespieCite this: J. Phys. Chem. 1977, 81, 25, 2340–2361Publicat...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTitanium Dioxide Nanomaterials: Synthesis, Properties, Modifications, and ApplicationsXiaobo Chen and Samuel S. MaoView Author Inform...
Few detailed clinico-pathological correlations of Parkinson's disease have been published. The pathological findings in 100 patients diagnosed prospectively by a group of consul...
Abstract The fifth edition of the WHO Classification of Tumors of the Central Nervous System (CNS), published in 2021, is the sixth version of the international standard for the...
In Bodies That Matter, renowned theorist and philosopher Judith Butler argues that theories of gender need to return to the most material dimension of sex and sexuality: the bod...
Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of mol...
We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level ...
Each year, the American Cancer Society estimates the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on...
Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and an...