A retrospective study using machine learning to develop predictive model to identify urinary infection stones in vivo.

Preoperative diagnosis of urinary infection stones is difficult, and accurate detection of stone composition can only be performed ex vivo. To provide guidance for better perioperative management and postoperative prevention of infection stones, we developed a machine learning model for preoperative identification of infection stones in vivo. The clinical data of patients with urolithiasis who underwent surgery in our hospital from January 2011 to December 2015 and January 2017 to December 2021 were retrospectively analyzed.

Design and Implementation of a Central-Controllable and Secure Multicast System Based on Universal Identifier Network.

With the rapid increase of network users and services, the breadth and depth of Internet have greatly changed. The mismatch between current network requirements and original network architecture design has spurred the evolution or revolution of Internet to remedy this gap. Lots of research projects on future network architecture have been launched, in which Universal Identifier Network (UIN) architecture that is based on the identifier/location separation, access/core separation and control/forwarding separation can provide better mobility, security and reliability.

Peering strategic game models for interdependent ISPs in content centric Internet.

Emergent content-oriented networks prompt Internet service providers (ISPs) to evolve and take major responsibility for content delivery. Numerous content items and varying content popularities motivate interdependence between peering ISPs to elaborate their content caching and sharing strategies. In this paper, we propose the concept of peering for content exchange between interdependent ISPs in content centric Internet to minimize content delivery cost by a proper peering strategy.