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SUMMARYThis paper proposes a multicast routing algorithm that makes use of multiple node-disjoint distribution trees for its routing from the source to the multicast group members. The specialty of this scheme is that the different packets of a message between a source and destinations are routed through node-disjoint paths to provide reliable and secure multicast communication. In this proposed routing scheme the computation of the node-disjoint path for packet routing is done either at a centralized route moderator or in a distributed fashion at all destinations in order to avoid single point failure. An effective provision is made to enable new members to join the existing multicast trees and to prune leaving members. The performance parameters of the proposed reliable and secure multi-path routing scheme are studied under various network conditions using GloMoSim.

Background Lymphatic filariasis (LF), often referred to as elephantiasis, has been identified as one of the 17 neglected tropical diseases by the World Health Organization. Currently, there are no vaccines available to treat this infection in humans. Therefore, with the objective of devising a novel preventive measure, we exploited an immunoinformatics approach to design a multi-epitope-based subunit vaccine for LF, that can elicit a variety of immune responses within the host. In this study, different B cell, TC cell, and TH cell-binding epitopes were screened from the antigenic proteins of Brugia malayi and they were passed through several immunological filters to determine the optimal epitopes. Results As a result, 15 CD8+, 3 CD4+, and 3 B cell epitopes were found to be prominent, antigenic, non-toxic, immunogenic and non-allergenic. The presence of conformational B cell epitopes and cytokine-inducing epitopes confirmed the humoral and cell-mediated immune response that would be triggered by the constructed vaccine model. Following that, the selected epitopes and TLR-4-specific adjuvant were ligated by appropriate peptide linkers to finalize the vaccine construct. Protein–protein docking of the vaccine structure with the TLR4 receptor predicted strong binding affinity and hence putatively confirms its ability to elicit an immune response. Further, the efficiency of the vaccine candidate to provide a long-lasting protective immunity was assessed by in silico immune simulation. The reverse translated vaccine sequence was also virtually cloned in the pET28a (+) plasmid after the optimization of the gene sequence. Conclusion So taken together, by monitoring the overall in silico assessment, we hypothesize that our engineered peptide vaccine could be a viable prophylactic approach in the development of vaccines against the threat of human lymphatic filariasis. Graphical Abstract

This study presents a generalized methodology to predict the transformer winding deformation profile through Sweep Frequency Response Analysis using Finite Element Method based Magneto Structural Analysis and proposed modified equivalent circuit. Monitoring and diagnosis of fault in any power apparatus is necessary to increase the quality life of the apparatus. In general all the power transformers are designed to withstand the mechanical forces due to short circuit faults. However, mechanical forces may exceed the specified limits during severe incidents leading to winding deformation. Winding deformation is one of the causes for the power transformer outages. In the present work, deformation profile of the winding for different short circuit currents are computed using Finite Element Method based Magneto-structural analysis. The change in circuit parameters of the deformed windings are computed using Finite Element Method based field analyses and the corresponding Sweep Frequency Responses are obtained using the modified electrical equivalent circuit. From the change in resonance frequencies, the displacement profile of the winding can be predicted which will be useful for design engineers to check the withstand capability of transformer.