Emerging artificial enzymes with reprogrammed and augmented catalytic activity and substrate selectivity have long been pursued with sustained efforts. The majority of current candidates have rather poor catalytic activity compared with natural molecules. To tackle this limitation, we design artificial enzymes based on a structurally well-defined Au25 cluster, namely clusterzymes, which are endowed with intrinsic high catalytic activity and selectivity driven by single-atom substitutions with modulated bond lengths. Au24Cu1 and Au24Cd1 clusterzymes exhibit 137 and 160 times higher antioxidant capacities than natural trolox, respectively. Meanwhile, the clusterzymes demonstrate preferential enzyme-mimicking catalytic activities, with Au25, Au24Cu1 and Au24Cd1 displaying compelling selectivity in glutathione peroxidase-like (GPx-like), catalase-like (CAT-like) and superoxide dismutase-like (SOD-like) activities, respectively. Au24Cu1 decreases peroxide in injured brain via catalytic reactions, while Au24Cd1 preferentially uses superoxide and nitrogenous signal molecules as substrates, and significantly decreases inflammation factors, indicative of an important role in mitigating neuroinflammation.

The use of this file must follow the Creative Commons Attribution Non-Commercial No Derivatives License, as required by Elsevier's policy. Highlights• Barriers affecting BIM implementation in China's prefabricated construction were identified. • The interrelationships among key barriers were analyzed.• ISM methodology was applied to evaluate most influential relationships.• Recommendations for BIM implementation in China's prefabricated construction were provided.

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A Building Information Model (BIM) is at risk of being 'blind and deaf' if its contained information cannot be synchronized with ongoing building processes in a real-time manner. Previous studies have attempted to explore solutions to the problem, with a view to making BIM a more useful decision-support system. However, an integrated conceptual framework summarizing these studies and structuring future development in the area is missing. Based on an ex post facto critical review of 75 papers of this kind published over the past decade, this paper proposes a conceptual framework for bridging BIM and building (BBB), which highlights the importance of synchronizing information between BIM and real-life building processes. The framework is further illustrated through a case study of prefabricated housing construction in Hong Kong. With this integrated conceptual framework, future research on BBB can proceed on a more solid footing.

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Bioinformatics is challenged by the fact that traditional analysis tools have difficulty in processing large-scale data from high-throughput sequencing. The open source Apache Hadoop project, which adopts the MapReduce framework and a distributed file system, has recently given bioinformatics researchers an opportunity to achieve scalable, efficient and reliable computing performance on Linux clusters and on cloud computing services. In this article, we present MapReduce frame-based applications that can be employed in the next-generation sequencing and other biological domains. In addition, we discuss the challenges faced by this field as well as the future works on parallel computing in bioinformatics.

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