Explore 611 academic publications
ADVERTISEMENT RETURN TO ISSUEPREVViewpointNEXTHow To Correctly Determine the Band Gap Energy of Modified Semiconductor Photocatalysts Based on UV–Vis SpectraPatrycja MakułaPatry...
Introduction John Tyler Bonner VII 1. Introductory 2. On magnitude 3. The forms of cells 4. The forms of tissues, of cell-aggregates 5. On spicules and spicular skeletons 6. The...
Preface. Foreword to the first edition. Acknowledgements. Abbreviations. Symbols. Introduction. Efficiency and Open Circuit Voltage. Operational Fuel Cell Voltages. Proton Excha...
Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary...
The Delphi technique is a widely used and accepted method for gathering data from respondents within their domain of expertise. The technique is designed as a group communicatio...
The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Ev...
The importance of the gut-brain axis in maintaining homeostasis has long been appreciated. However, the past 15 yr have seen the emergence of the microbiota (the trillions of mi...
The linguistic and cognitive sciences have severely underestimated the degree of linguistic diversity in the world. Part of the reason for this is that we have projected assumpt...
A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not ...
Randomized algorithms, once viewed as a tool in computational number theory, have by now found widespread application. Growth has been fueled by the two major benefits of random...
Abstract Motivation Phylogenies are important for fundamental biological research, but also have numerous applications in biotechnology, agriculture and medicine. Finding the op...
Increasing model size when pretraining natural language representations often\nresults in improved performance on downstream tasks. However, at some point\nfurther model increas...