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Abstract Carbon nanotube structures have potential applications in nanoelectronics, molecular sensors, energy-storage devices, nanocomposites, and multi-terminal nanoscale interconnects. Motivated by their structural complexity, this paper investigates entropy measures of degree-based topological indices for a hyper armchair carbon nanotube (HCN) graph.
Ayesha Shabbir · Follow 3 min read · -- Introduction 1. Economic Interests and Resistance One of the major reasons for the slow progress in tackling climate change is the deep-rooted economic interests tied to fossil fuels. Industries like oil, gas, and coal generate significant revenue and provide jobs for millions of people worldwide.
Optimal graph embeddings represent graphs in a lower dimensional space in a way that preserves the structure and properties of the original graph. These techniques have wide applications in fields such as machine learning, data mining, and network analysis. Do we have small (if possible minimal) -connected graphs with the property that for any vertices there is a longest path avoiding all of them?
Don’t call it “fake news” call it disinformation and think twice before spreading it because plenty of people who want to create even more rifts in society take advantage of a lack of critical thinking. This was one of the key messages from a session with experts who counter extremist violence online at the International Conference on Media & Conflict in Islamabad Feb 11, 2020.
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