BackgroundThe COVID-19 pandemic has had a profound global impact on governments, health care systems, economies, and populations around the world.Within the East Asia and Pacific region, some countries have mitigated the spread of the novel coronavirus effectively and largely avoided severe negative consequences, while others still struggle with co
shot glass For current computational intelligence techniques, a major challenge is how to learn new concepts in changing environment.Traditional learning schemes could not adequately address this problem due to a lack of dynamic data selection mechanism.In this paper, inspired by human learning process, a novel classification algorithm based on inc
Abstract Background The Old World insectivorous bat genus Rhinolophus is highly speciose.Over the last 15 years, the number of its recognized species has grown from 77 to 106, but knowledge of their interrelationships has not kept pace.Species limits and phylogenetic relationships of this morphologically conservative group remain problematic due bo
Crop breeding programs have often focused on the release of new varieties that target yield improvement to achieve food security and reduce poverty.While continued investments in this objective are justified, there is a need for breeding programs to be increasingly more demand-driven and responsive to the changing customer preferences and populatio
A quantitative understanding of the dynamics of shot glass bee colonies is important to support global efforts to improve bee health and enhance pollination services.Traditional approaches focus either on theoretical models or data-centred statistical analyses.Here we argue that the combination of these two approaches is essential to obtain interpr