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1.
  • Chen, Qiman, et al. (författare)
  • Flexible Service Chain Mapping in Server-Centric Optical Datacenter Networks
  • 2018
  • Ingår i: 2018 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP). - : IEEE. - 9781538661581
  • Konferensbidrag (refereegranskat)abstract
    • We investigate flexible service chain mapping in server-centric optical terconnects, handling virtual network function (VNF) dependency operly. Blocking probability decreases by a factor of 10 when signing multiple VNFs in the same server is allowed.
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2.
  • Ding, Yang, et al. (författare)
  • Artificial intelligence-assisted point-of-care testing system for ultrafast and quantitative detection of drug-resistant bacteria
  • 2024
  • Ingår i: SMARTMAT. - : WILEY. - 2766-8525. ; 5:3
  • Tidskriftsartikel (refereegranskat)abstract
    • As one of the major causes of antimicrobial resistance, beta-lactamase develops rapidly among bacteria. Detection of beta-lactamase in an efficient and low-cost point-of-care testing (POCT) way is urgently needed. However, due to the volatile environmental factors, the quantitative measurement of current POCT is often inaccurate. Herein, we demonstrate an artificial intelligence (AI)-assisted mobile health system that consists of a paper-based beta-lactamase fluorogenic probe analytical device and a smartphone-based AI cloud. An ultrafast broad-spectrum fluorogenic probe (B1) that could respond to beta-lactamase within 20 s was first synthesized, and the detection limit was determined to be 0.13 nmol/L. Meanwhile, a three-dimensional microfluidic paper-based analytical device was fabricated for integration of B1. Also, a smartphone-based AI cloud was developed to correct errors automatically and output results intelligently. This smart system could calibrate the temperature and pH in the beta-lactamase level detection in complex samples and mice infected with various bacteria, which shows the problem-solving ability in interdisciplinary research, and demonstrates potential clinical benefits.
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