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Lymphotoxin is secreted by human lymphocytes stimulated with phytohemagglutinin in vitro. Combinations of DEAE-cellulose and Sephadex chromatography, acrylamide gel electrophoresis, and isoelectric focusing were used to purify lymphotoxin 2000- to 4000-fold; 15-25% of the activity has been recovered. Lymphotoxin appears to be a weakly charged molecule(s) of molecular weight about 90,000-100,000 that migrates in Pevikon block electrophoresis as a β- or α2 globulin. It is a discrete molecule(s), because it is completely separable from medium serum proteins and carrier and phytohemagglutinin proteins. Isoelectric-focusing studies indicate that there may be a limited heterogeneity among lymphotoxin molecules.

Conventional Li-ion battery ageing models, such as electrochemical, semi-empirical and empirical models, require a significant amount of time and experimental resources to provide accurate predictions under realistic operating conditions. At the same time, there is significant interest from industry in the introduction of new data collection telemetry technology. This implies the forthcoming availability of a significant amount of real-world battery operation data. In this context, the development of ageing models able to learn from in-field battery operation data is an interesting solution to mitigate the need for exhaustive laboratory testing.

•A calendar ageing model is developed under the Gaussian process framework.•A new covariance function is composed, tailored to Li-ion battery ageing prediction.•Especial emphasis on the ability of the model to learn from new data observations.•Sensitivity analysis of the model, and analysis of the uncertainty quantification.•Validation with 32 cells, for broad range of static and dynamic storage conditions.