Do you find yourself coming into the office early every month just to create monthly reports? The days spent sighing, "This task again..." while being chased by endless data aggregation and ...
ETHOS.TSAM is a python package which uses different machine learning algorithms for the aggregation of time series. The data aggregation can be performed in two freely combinable dimensions: By ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Polyglutamine (polyQ) aggregation plays a central role in several neurodegenerative ...
Directed evolution leverages the principles of natural selection to engineer biomolecules with desired properties. Microbead-based approaches within water-in-oil emulsions have proven invaluable for ...
Interactions between amyloidogenic proteins drive the progression of neurodegenerative diseases, yet the molecular mechanisms remain unknown. In this work, we describe the crosstalk between amyloid-β ...
α-Synuclein Aggregation Is Triggered by Oligomeric Amyloid-β 42 via Heterogeneous Primary Nucleation
Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, U.K. Department of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 ...
Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping their data locally, and previous researches have empirically proven the ideal ...
Code is released. With better CUDA optimization, HAIS now only takes 339 ms on TITAN X, much better than the latency reported in the paper (410 ms on TITAN X). HAIS is an efficient and concise ...
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