AQUA: an Advanced QUery Architecture for the SPARC Portal

Abstract

The Stimulating Peripheral Activity to Relieve Conditions (SPARC) program integrates biological and neural information to create anatomical and functional maps of the peripheral nervous system. The SPARC Portal hosts a dynamic storage for the datasets, models, and resources to help the researchers find and produce data. Currently, the SPARC Portal provides a primary search tool, which lacks some features to improve the search experience. To purposefully retrieve the required information from the stored datasets and resources, we have developed an Advanced QUery Architecture (AQUA) for the SPARC Portal. Near-real-time auto-completion of the queries, close-matches suggestions, and multiple filters to narrow or sort the results are the major features of AQUA with the goal to enhance the usability of the SPARC search engine. AQUA is available from: https://github.com/SPARC-FAIR-Codeathon/aqua

Review of State-of-the-Art FPGA Applications in IoT Networks

“…FPGAs can be useful at nearly every layer within the OSI model and have been utilized as networking components in the industry. For example, the Microsoft Catapult System [ 32 , 33 ] and Amazon AQUA [ 34 ] utilize FPGAs with direct network access for their data centers. Furthermore, works such as FDGLIb are utilities that streamline FPGA capabilities within datacenters, such as those from Microsoft and Amazon [ 35 ].…”