Special Issue: Advanced Modeling and Design for Composite Materials and Structures

A photodecarboxylase from Micractinium conductrix active on medium and short-chain fatty acids

Hydrocarbons are essential base chemicals as energy carriers and starting materials for chemical manufacture. So-called fatty acid photodecarboxylases (FAPs) represent interesting catalysts for the conversion of natural fatty acids into hydrocarbons thereby giving access to alkanes from renewable feedstock. Today, however, only few FAPs are...

Spatial–temporal short-term traffic flow prediction model based on dynamical-learning graph convolution mechanism

Short-term traffic flow prediction is a core branch of intelligent traffic systems (ITS) and plays an important role in traffic management. The graph convolution network (GCN) is widely used in traffic prediction models to efficiently handle the graphical structural data of road networks. However, the influence weights among different road...

More efficient enzymatic cascade reactions by spatially confining enzymes via the SpyTag/SpyCatcher technology

Hydrocarbon synthesis from (waste)oils enabled by a cascade of lipase-catalysed hydrolysis and decarboxylase-catalysed decarboxylation has become an active area of research en route to alternative, biobased fuels. However, Poor substrate transport efficiency is a major issue causing low reaction rates. This study focused on a protein self...

Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data

The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three...

Luminescence and site occupancy of Ce3+ in Ba2Ca(BO3)2