In view of different aspects for expand of pandemic, growth types of virus graphs are divided in 1-1, 1-P and 1-all growth types. Although, Virus graphs II and IV are extremely hazardous for the harmony of the world. Virus graph I and III are not so perilous for all living beings. Depending upon the nature of the pandemic, there are four types of Virus graphs. This paper defines the variable set, variable graphs and their types with respect to variable vertex sets and variable edge sets. Considering the recent pandemic in the world and the precautions taken for prevention of the COVID 19, it is the most appropriate way to exercise the graph models with theoretical as well as practical aspects to control this epidemic. Every situation can be articulated in terms of suitable graphs by using various approaches of graph theory. Graph theory plays significant role in every field of science as well as technology. We introduce a classification of those architectures and provide insights for future research directions in the field.
In this paper, we discuss the evolution of blockchain architecture and its consensus protocols, bringing a retrospective analysis and discussing the rationale of the evolution of the various architectures and protocols, as well as capturing the assumptions conducting to their development and contributions to building collaborative applications. Therefore, it becomes critical to address this vent and to build new frameworks to align blockchain with those goals. Consequently, blockchain architecture has misaligned with the goals for a green collaborative digital ecosystem. Over this time, the concept of blockchain has shifted greatly due to the rapidly evolving distributed applications in a collaborative ecosystem such as smart cities, social networking, governance, and smart healthcare, and the ultimate need for green computing, cost reduction for customers, and business growth for enterprises. Ver the last decade the blockchain technology has emerged to provide solutions to the complexity, performance and privacy challenges of using distributed databases.
The method VSM forms a universal and high-level language for encoding ideas, and for interacting with digital knowledge. Scientists from any discipline can use this to convert any complex knowledge into a form that is easily readable and meaningful for both humans and computers. Here we present the design of an easy-to-use, general-purpose method and interface, that enables the precise semantic capture of virtually unlimited types of information and details, using only a minimal set of building blocks. Many important contextual aspects of observations described in literature simply do not fit in the form defined by these tools, and thus cannot be captured. Valuable as these curation efforts are, the range and detail of what can practically be captured and shared remains limited, because of the constraints of current curation tools.
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In a process called manual curation, they enter knowledge into spreadsheets, or into databases where it serves their and many others' research. In the life sciences, among others, many scientists therefore extract and structure knowledge from the literature. Scientific progress is increasingly dependent on knowledge in computation-ready forms.