Online ISSN: 2515-8260

Keywords : Graph theory


Review on Graph Theoretical Framework of Brain Networks

SudesnaSen, Nirmal Kumar Mahapatra

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 3454-3462

Network research gives strong access to the entire human brain organisation. It was
applied to characterise the brain communication patterns in combination with graph
theory. Multiple sclerosis (MS) offers new insights into pathological processes within grey
and white matter. It analyses brain networks derived from structural or functional
imaging. In addition to focal lesions and diffuse tissue damage, network connectivity
patterns may be significant in close monitoring and disease prediction. This study explains
the graphical theory principles, highlights new issues related to acute and chronic tissue
reorganisation, and discusses network analysis in MS patients. We also describe functional
and structural communication trends observed in MS from disconnection and disturbance
to modification and compensation. Also, based on current literature, we link network
change and its connection to clinical incapacity. Finally, we explore the network science
perspective in MS for future research and postulate its position in the clinical environment.

A Graph Networks Based Quality Control Model For Packaged Food Smart Traceability & Communication

Rupkumar Mahapatra; Sovan Samanta; Robin Singh Bhadoria; Madhumangal Pal; Tofigh Allahviranloo; Bishwajeet Pandey

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 6, Pages 2830-2848

Usually,foods are packaged with some preservative and such chemicals in the form of organic and inorganic preservative are being used for packaging different types of food.But in India, companies are using inorganic preservatives mostly and these inorganic preservatives are very harmful to human’s body. In this paper, a new model is developed to reduce the quantity of chemicals in packaged food. This problem is modelledby fuzzy inference and is also combined with graphtheory methodology to provide a unique and defective solution.The sideeffectofeachpackagedfoodistobemeasuredusinga fuzzy interference system. A real-life application on Haringhatachicken has been presented in this paper by using fuzzy inference logic and graph theory. At last, a comparison of the result hasbeendemonstrated to justify the solution.