eCPD Programme - Enhanced Learning. [PDF]
, 2009 This collection of papers (edited by Kevin Donovan) has been produced by the Association for Learning Technology (ALT) for LSIS.
Donovan, Kevin, Saxton, Lucy
core
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Self-organized learning in multi-layer networks [PDF]
, 2010 We present a framework for the self-organized formation of high level learning by a statistical preprocessing of features. The paper focuses first on the formation of the features in the context of layers of feature processing units as a kind of resource-
Brause, Rüdiger W.
core
Overview of molecular signatures of senescence and associated resources: pros and cons
FEBS Open Bio, EarlyView.Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
Joint response to the Royal Society’s call for views: Vision for science and mathematics education 5-19 [PDF]
This response has been prepared by a consortium of the leading Technology Enhanced Learning (TEL) research labs in the UK, in collaboration with the UK’s Technology Enhanced Learning research programme and the Association for Learning Technology (ALT)
Luckin, Rose
core
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
FEBS Open Bio, EarlyView.This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Learning and discrimination through STDP in a top-down modulated associative memory
, 2006 This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons.
Mouraud, Anthony, Paugam-Moisy, Hélène
core +4 more sources
Tutorial: Neuromorphic spiking neural networks for temporal learning
, 2018 Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward prediction tasks and the related feedback that are classified as reinforcement
Jeong, Doo Seok
core +1 more source
FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Optogenetic activation of dopamine D1 receptors in island cells of medial entorhinal cortex inhibits temporal association learning. [PDF]
Mol Brain, 2023 Yokose J +3 more
europepmc +1 more source