The limitation of surface-display systems in biofuel cells to a single redox enzyme is a major drawback of hybrid biofuel cells, resulting in a low copy-number of enzymes per yeast cell and a limitation in displaying enzymatic cascades. Here we present the electrosome, a novel surface-display system based on the specific interaction between the cellulosomal scaffoldin protein and a cascade of r...

This paper introduces a hybrid system termed cascade adaptive resonance theory mapping (ARTMAP) that incorporates symbolic knowledge into neural-network learning and recognition. Cascade ARTMAP, a generalization of fuzzy ARTMAP, represents intermediate attributes and rule cascades of rule-based knowledge explicitly and performs multistep inferencing. A rule insertion algorithm translates if-the...

A new architecture and learning algorithms for the multidimensional hybrid cascade neural network with neuron pool optimization in each cascade are proposed in this paper. The proposed system differs from the well-known cascade systems in its capability to process multidimensional time series in an online mode, which makes it possible to process non-stationary stochastic and chaotic signals wit...

• The bifunctional architecture system showed excellent electrocatalytic performance. hybrid allows the complete lactate oxidation. bi-catalytic electrode enable collection of up to 12 electrons from lactate. TEMPO first oxidizes pyruvate, which is cleaved by OxDc into CO 2 . Although challenging, generation energy through harvesting biological fluids via fuel cells a promising technology for w...

The highlighted area or object is defined as the salient region object. For detection, main challenges are still clarity of boundary information and positioning accuracy in complex background, such noise occlusion. To remedy these issues, it proposed that asynchronous cascade saliency detection algorithm based on a deep network, which embedded an encoder–decoder architecture. Moreover, lightwei...