Effectiveness of Laser Therapy (AlGaInP) on Cicatrization of Experimental Cutaneous Wound in Rats

The use of laser therapy is one of the most effective tools in the prevention and treatment of skin ulcers. It is an effective treatment choice because it potentiates the trophic regenerative, anti inflammatory, and painkiller effects. This study aimed to assess the effectiveness of low level laser therapy in treating induced cutaneous ulcers in rats. An experimental study using 12 female Wistar rats (Rattus novergicus), weighing between 150 and 250 g, from the room of animal husbandry at the Center of Health Sciences of UNIFOR. Rats underwent surgery to induce cutaneous ulcer. Subsequently, the animals were divided into two randomized groups: 1) Control group;and 2) Experimental group. They received nine applications of AlGaInP laser treatment (power of 30 mW) with an intensity of 4 J/cm2, using the scan method, for 15 seconds over the entire ulcer. The cicatrization process was evaluated from the 1st to 19th postoperative (PO) day, but on alternate days. The results showed that animals treated with laser had less area of cutaneous wound than the control group from the 7th until the 17th postoperative day, highlighting the 7th and the 9th PO with a significant reduction in wound area of 28.8% (p = 0.00) and 23,5% (p = 0.01), respectively. Treatment with the AlGaInP laser was effective in the repair of cutaneous wound when compared to the control group—particularly on the 7th postoperative day.

Three Tier Fog Networks: Enabling IoT/5G for Latency Sensitive Applications

Following the progression in Internet of Things(IoT) and 5G communication networks, the traditional cloud computing model have shifted to fog computing. Fog computing provides mobile computing, network control and storage to the network edges to assist latency critical and computation-intensive applications. Moreover, security features are improved in fog paradigm by processing critical data on edge devices instead of data centres outside the control plane of users. However, fog network deployment imposes many challenges including resource allocation, privacy of users, non-availability of programming model and testing software and support for the heterogenous networks. This article highlights these challenges and their potential solutions in detail. This article also discusses threetier fog network architecture, its standardization and benefits in detail. The proposed resource allocation mechanism for three tier fog networks based on swap matching is described. Results show that by practicing the proposed resource allocation mechanism, maximum throughput with reduced latency is achieved.

Aggregator Based RPL for an IoT-Fog Based Power Distribution System with 6LoWPAN

Advanced Metering Infrastructure(AMI)forms an important part in Smart Grids.Routing the data effectively from smart meters to the Edge/Fog node requires an efficient routing protocol.Routing Protocol for Low Power Lossy Area Network(RPL)is a standard routing protocol for IPv6 over Low Power Personal Area Network(6LoWPAN).In a Power Distribution system all the smart meters together form 6LoWPAN network.They communicate with the fog router,which acts as the 6LoWPAN gateway.ContikiRPL was evaluated using Cooja Network simulator for a power distribution network topology.The nodes which were far away from the fog node gave low Packet Delivery Ratio(PDR)and large End to End delay.This paper proposes an aggregation RPL scheme by modifying the existing Contiki RPL.The smart meter nodes communicate to the aggregator,which communicates to the fog node.The results show that the aggregation scheme has 35.6%increase in PDR,lesser hop count and 13.24%decrease in End to End delay on an average compared to existing RPL.