The development of effective methods for the detection of indication of protein misfolding is highly beneficial for early stage medical diagnostics and prevention of many neurodegenerative diseases. Self-assembled plasmonic nanoantennas...

This research article presents a study on CRIMES that are done on social media platforms, while engaging in discussions, sharing information, giving opinions and posting an update. Since, the study focused on online crimes such as social bullying, social lashing, social media trolling and conducting a media trial leading to social media lynching. The study was done while taking up a pluralist approach, when the research took up four case studies and more than half a dozen of secondary sources. Besides, the victims the researcher made it a point to take opinions from leading Psychiatrist, political scientist, anthropologists and cyber expert, before coming into any conclusion. All this was done in the best possible scientific manner to come into a logical conclusion. Special care was taken while selecting samples for the study, so that maximum representation could be ensured. Special care has been taken to investigate the case of suicide to ascertain the reason behind the incident, if it was a case of failed self-presentation; Leading to a logical and empirical study.

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A topological index plays an important role in characterising various physical properties, biological activities, and chemical reactivities of a molecular graph. The Hosoya polynomial is used to evaluate the distance-based topological indices such as the Wiener index, hyper-Wiener index, Harary index, and Tratch – Stankevitch – Zefirov index. In the present study, we determine a closed form of the Hosoya polynomial for the third type of the chain hex-derived network of dimension n and derive the distance-based topological indices of the network with the help of their direct formulas and alternatively via using the obtained Hosoya polynomial. Finally, we graphically represent the computed distance-based topological indices and the Hosoya polynomial of the underlying network to comprehend their geometrical pattern. This study of the Hosoya polynomial and the corresponding indices can set the basis for more exploration into chain hex-derived networks and their properties.