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4 articles for “me-clique”
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Some Algebraic Properties of me-homomorphism of Semi graphs
Abstract: The theory of Semi graph was introduced by E. Sampat Kumar [6] which is analogous with theory of Hyper graph. Study of Homomorphism[4] is useful to prove numerous application of Graph theory, which is adjacency preserving mapping. In this Paper we have introduced me-homomorphism of Semi graphs and derived some of its algebraic properties [5]. We have also investigated nature of some parameters and its bounds under this mapping.Cite this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 5, Issue 3, 2018 · pp. 27–30 Read article
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Applying the XML-based Technique to Support Keyword Search in Graph Data
Abstract: Graphs have been important and proper structures to represent data with complex relationships in the Web, and keyword search provides a convenient way to querying graphs. Some researchers considered to return r-cliques as answers for keyword search in graph databases. Such concepts can retrieve meaningful information effectively, but the existing approach is computationally expensive. In this paper, we propose to utilize the efficient technique originally designed for keyword search in …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 25–32 Read article
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DYSLEXIA - A CORRELATIONAL STUDY BETWEEN BRAIN AND HYPOTHALAMUS THAT HOW THEY ARE AFFECTED IN DYSLEXIC CHILD
Abstract: The 'dyslexia dispute' is tenacious. A crucial component of the media argument is the belief that dyslexia does not exist, which has been popularized by a number of outspoken commentators. For them, dyslexia are the creation of excessively anxious parents, backed up by a clique of private educational psychologists eager to deliver a diagnostic - for a charge - even when no condition exists. Critiques of dyslexia can also be …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 28–36 Read article
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Integrative Network Biology Analysis of GSE6011 Uncovers Molecular Signatures in Duchenne Muscular Dystrophy
Abstract: Duchenne muscular dystrophy (DMD) is a rare, severe neuromuscular disorder demonstrated by progressive skeletal muscle deterioration and premature mortality. Despite advances in supportive care, no definitive cure exists, highlighting the need to explore novel molecular targets. The current study aimed to uncover key dysregulated genes and molecular pathways in DMD through a dataset-specific network biology approach. Publicly available microarray data (GSE6011) from DMD quadriceps muscle biopsies of 22 patients and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 36–48 Read article