Pre-trained transformer-based language models (PLMs) have revolutionised text classification tasks, but their performance tends to deteriorate on data distant in time from the training dataset. Continual supervised...
Through desingularization of Clifford torus, we prove the existence of a sequence of nondegenerate (in the sense of Duyckaerts–Kenig–Merle ([8])) nodal nonradial solutions to the critical Yamabe problem −Δu=[Formula...
We construct a new family of entire solutions to the Yamabe equation −Δu=[Formula presented]|u|[Formula presented]u in D1,2(Rn). If n=3 our solutions have maximal rank, being the first example...
The large-scale production of nanomaterials with fine control over their shape, size and properties remains a major obstacle towards their further use. Here, the semi-continuous production of metal oxide nanoparticles (NPs)...
Oil-in-water nanoemulsions (NEs) were produced in a dead-end stirred cell setup for the first time using bespoke anodic alumina membranes (AAMs). The regular pore structure and narrow pore size distribution of AAMs enabled...
We construct a new family of entire solutions to the Yamabe equation −Δu=[Formula presented]|u|[Formula presented]u in D1,2(Rn). If n=3 our solutions have maximal rank, being the first example...
Through desingularization of Clifford torus, we prove the existence of a sequence of nondegenerate (in the sense of Duyckaerts–Kenig–Merle ([8])) nodal nonradial solutions to the critical Yamabe problem −Δu=[Formula...
The large-scale production of nanomaterials with fine control over their shape, size and properties remains a major obstacle towards their further use. Here, the semi-continuous production of metal oxide nanoparticles (NPs)...
Oil-in-water nanoemulsions (NEs) were produced in a dead-end stirred cell setup for the first time using bespoke anodic alumina membranes (AAMs). The regular pore structure and narrow pore size distribution of AAMs enabled...
Pre-trained transformer-based language models (PLMs) have revolutionised text classification tasks, but their performance tends to deteriorate on data distant in time from the training dataset. Continual supervised...
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