Enhancement to Smart Cities in Sri Lanka using Cutting Edge Technologies

Advancement of technologies leads to greater innovative ideas and optimal solutions to real world problems. In Sri Lanka the “Port City” currently undergoing construction is an extension of land from Sri Lanka in which the goal is to build a self-sustainable city along with a mixed diverse community. The best use case to demonstrate the usage of modern technologies and the aim of this study is to turn the concept of a city into a “Smart Port City” which solves many different components in the 11th sustainable development goal, sustainable cities, and communities through the utilization of advanced technologies such as artificial intelligence, machine learning, internet of things and blockchain in the form of a web application. Through this research, every aspect of a generic web application in terms of raw performance, security and privacy and convenience is outperformed by “Smart Port City” because of the utilization of modern technologies. The work done to implement and incorporate these technologies into a web application is extensively described with architectural diagrams. Additionally, deep dives into literature reviews was conducted to depict comparisons between before the usage of the advanced technologies and after the usage to interpret the results and findings to finally come to a decisive conclusion

Genetic characterization of cassava (Manihot esculenta) landraces in Brazil assessed with simple sequence repeats

Based on nine microsatellite loci, the aim of this study was to appraise the genetic diversity of 42 cassava (Manihot esculenta) landraces from selected regions in Brazil, and examine how this variety is distributed according to origin in several municipalities in the states of Minas Gerais, São Paulo, Mato Grosso do Sul, Amazonas and Mato Grosso. High diversity values were found among the five above-mentioned regions, with 3.3 alleles per locus on an average, a high percentage of polymorphic loci varying from 88.8% to 100%, an average of 0.265 for observed heterozygosity and 0.570 for gene diversity. Most genetic diversity was concentrated within the regions themselves (HS = 0.52). Cluster analysis and principal component based scatter plotting showed greater similarity among landraces from São Paulo, Mato Grosso do Sul and Amazonas, whereas those from Minas Gerais were clustered into a sub-group within this group. The plants from Mato Grosso, mostly collected in the municipality of General Carneiro, provided the highest differentiation. The migration of human populations is one among the possible reasons for this closer resemblance or greater disparity among plants from the various regions