Work fluctuations for diffusion dynamics submitted to stochastic return

Consistency and fluctuations for stochastic gradient Langevin dynamics Consistency and fluctuations for stochastic gradient Langevin dynamics

Applying standard Markov chain Monte Carlo (MCMC) algorithms to large data sets is computationally expensive. Both the calculation of the acceptance probability and the creation of informed proposals usually require an iteration through the whole data set. The recently proposed stochastic gradient Langevin dynamics (SGLD) method circumvents this problem by generating proposals which are only ba...

Return to Work in COVID-19: Review of Current Guidelines

Background and aims: Coronavirus Disease 2019 (COVID-19) is mainly a respiratory disease which is caused by the SARS-CoV-2 Virus. The outbreak first began in Wuhan, China, in December 2019 and then expanded globally. COVID-19 can result in illness ranging from mild to severe. However, some of the affected individuals might be asymptomatic. Symptoms of the disease may appear in as few as 2 days...

Return to work.

Return to Work

nor is it progressive to keep him indefinitely in a sheltered occupation: though both these alternatives are better than no job at all, and may be temporary expedients. This is not simply a matter of the individual's welfare: it is of vital concern to the community too, for the wastage of productivity from neurotic illness due both to absence from work and to inefficiency at work costs the coun...

Stochastic game dynamics under demographic fluctuations.

Frequency-dependent selection and demographic fluctuations play important roles in evolutionary and ecological processes. Under frequency-dependent selection, the average fitness of the population may increase or decrease based on interactions between individuals within the population. This should be reflected in fluctuations of the population size even in constant environments. Here, we propos...