This study proposes a new artificial intelligence model based on cardiovascular computed tomography for more efficient and precise recognition of Tetralogy of Fallot (TOF).

Faced with the scalability and reliability challenge, the DNS is increasingly operated by geographically dispersed data centers. Energy management across those distributed diverse data centers is critical to reducing revenue loss for DNS operators. This paper addresses the DNS server allocating problem aiming at optimizing revenue loss in terms of delay cost and energy cost. An analytical model is proposed taking network delay, query processing delay, energy costs, and server selections into consideration. The optimal solution is obtained analytically given static parameters or using an iteration method given dynamic parameters. The effectiveness of energy-aware DNS server allocating and the feasibility of the proposed iteration method are validated through simulations.

Proximity Services (ProSe) and Wi-Fi are two promising technologies that may provide support for Mission Critical Voice (MCV) applications in remote and rural areas by enabling Device-to-Device (D2D) communication. In this paper, several performance metrics of ProSe and Wi-Fi are evaluated and compared side-by-side under various configurations. The ns-3 simulation results show that ProSe outperforms Wi-Fi in terms of coverage range and access time with a medium traffic load, while Wi-Fi has a shorter access time under a light traffic load. In addition, with various user densities, ProSe offers better coverage range and access time a majority of the time. The evaluation in this paper provides insights to first responders on what to expect with either technology and how to improve the performance by adjusting different system parameters.