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A plasmon-driven deprotonation reaction of the aromatic methyl group can occur in aqueous solution under the illumination of red light. The reaction produces a benzyl radical and anion, and dimers through a self-reaction. 

Serverless computing, or Function-as-a-Service (FaaS), enables a new way of building and scaling applications by allowing users to deploy fine-grained functions while providing fully-managed resource provisioning and auto-scaling. Custom FaaS container support is gaining traction as it enables better control over OSes, versioning, and tooling for modernizing FaaS applications. However, providing rapid container provisioning introduces non-trivial challenges for FaaS providers, since container provisioning is costly, and real-world FaaS workloads exhibit highly dynamic patterns. In this paper, we design FaaSNet, a highly-scalable middleware system for accelerating FaaS container provisioning. FaaSNet is driven by the workload and infrastructure requirements of the FaaS platform at one of the world's largest cloud providers, Alibaba Cloud Function Compute. FaaSNet enables scalable container provisioning via a lightweight, adaptive function tree (FT) structure. FaaSNet uses an I/O efficient, on-demand fetching mechanism to further reduce provisioning costs at scale. We implement and integrate FaaSNet in Alibaba Cloud Function Compute. Evaluation results show that FaaSNet: (1) finishes provisioning 2,500 function containers on 1,000 virtual machines in 8.3 seconds, (2) scales 13.4× and 16.3× faster than Alibaba Cloud's current FaaS platform and a state-of-the-art P2P container registry (Kraken), respectively, and (3) sustains a bursty workload using 75.2% less time than an optimized baseline. 

Reversible intermolecular interactions play critical roles in nature. However, it is still challenging to monitor the dynamic intermolecular interactions at the single-molecule level in aqueous solution. Here, we studied the dynamic changes of intermolecular interactions at the carboxyl/carboxyl interfaces between a pair of molecules trapped in a plasmonic nanocavity formed between a gold nanoparticle (GNP) and a gold nanoelectrode (GNE). The development of intermolecular interactions, including the appearance of hydrogen bonds (h-bonds), during and after single GNP collision events on the GNE, was monitored by time-resolved surface-enhanced Raman spectroscopy at a tens of milliseconds time resolution. Spectral fingerprints of the carboxyl group corresponding to non-specific intermolecular interactions and h-bonds are identified. Furthermore, we demonstrated that the strength of intermolecular interaction could be mechanically modulated by changing the applied bias at the GNE, which resulted in small and controllable changes in the nanogap distance. Unlike non-specific intermolecular interactions, the intermolecular h-bonds can only be formed stochastically and are more sensitive to the gap distance modulation. This report demonstrates a new approach to modulate and probe intermolecular interactions within nanogaps. 

Abstract In‐depth understanding of the biophysicochemical interactions at the nano–bio interface is important for basic cell biology and applications in nanomedicine and nanobiosensors. Here, the extracellular surface potential and topography changes of live cell membranes interacting with polymeric nanomaterials using a scanning ion conductance microscopy‐based potential imaging technique are investigated. Two structurally similar amphiphilic conjugated polymer nanoparticles (CPNs) containing different functional groups (i.e., primary amine versus guanidine) are used to study incubation time and functional group‐dependent extracellular surface potential and topographic changes. Transmembrane pores, which induce significant changes in potential, only appear transiently in the live cell membranes during the initial interactions. The cells are able to self‐repair the damaged membrane and become resilient to prolonged CPN exposure. This study provides an important observation on how the cells interact with and respond to extracellular polymeric nanomaterials at the early stage. This study also demonstrates that extracellular surface potential imaging can provide a new insight to help understand the complicated interactions at the nano–bio interface and the following cellular responses.