EVALUATION OF IMPACT OF PHARMACEUTICAL CARE ON IMPROVING KNOWLEDGE AND MEDICATION ADHERENCE IN CKD PATIENTS

Objectives: Evaluation of the impact of pharmaceutical care on improving knowledge and medication adherence in Chronic Kidney Disease (CKD) patients.Methods: Patient data were recorded on a data collection form after informed consent. Their knowledge and medication adherence were evaluated by questionnaire and it was quantified. Patients were counselled using patient information leaflets. Re-assessment was made during follow-up.Results: Medication adherence among patients was classified as low, medium and high adherence. Knowledge was classified under three categories excellent, average and poor. There was a considerable improvement in knowledge and medication adherence irrespective of age and gender. The study was statistically significant with P<0.05.Conclusion: The efforts to increase awareness on CKD patients such as providing patient counselling and continuous education could enhance adherence to therapies and thus could improve clinical outcomes and quality of life

A novel perspective for M-polynomials to compute molecular descriptors of borophene nanosheet

Abstract Nanomaterials feature exceptional, one-of-a-kind qualities that might be used in electronics, medicine, and other industries. Two-dimensional nanomaterials called borophene have a variety of intriguing characteristics, which helped them to leave an indelible impression in the fields of chemistry, material science, nanotechnology, and condensed matter physics. The concept of modelling the structure of a molecule or chemical network to a chemical graph and then quantitatively analysing them with the aid of topological descriptors was a major advance in the fields of mathematics and chemistry, with a wide range of applications. M-polynomial approach is a very versatile and quick method for computing the degree-based descriptors of chemical graphs or networks. The degree-based descriptors of the $$\beta _{12}$$ β 12 -Borophene nanosheet are established in this study utilising the M-polynomial technique. A program code that enables to generate the M-polynomial of any chemical structure was developed in Java platform and the same is displayed. At the conclusion, the numerical and graphical comparison based on the identified analytic expressions is also provided. Additionally, the QSPR analysis was also carried out and the outcoms are presented therein

Structural analysis of transformations of subdivision graph via structure descriptors

For a graph X=(V(X),E(X)), a wide range of transformations are possible. A graph X can be converted into a new graph by adding vertices or edges following certain criteria. A graph derived from the parent graph X by inserting a new vertex into each of its edge is known as subdivision graph and can be denoted as S(X). The transformation graph of a graph X can be defined as a graph whose vertex set is union of the vertex set and edge set of X and whose edge set is defined under certain conditions. Structure descriptors are widely used now-a-days to model the physico-chemical, structural and electronic properties of chemical compounds and networks. A structure descriptor of a transformation graph reflects different structural features than a structure descriptor of the original graph X. By determining various structure descriptors of the transformation graphs of a molecule, wide range of structural properties of the underlying molecule could be modelled. In this study, the concept of transformation graph is applied on subdivision graph and further the structural properties of those graphs are studied via structure descriptors. The expressions for first Zagreb index and forgotten index of transformation graphs of subdivision graphs are determined in terms of parameters of the parental graph. Further, applying the determined results, a structural analysis was also carried out on a chemical graph

Abstracts of the International Conference on Recent Trends in Mathematics and Computer Science 2023

This book presents the abstracts of the selected contributions to the International Conference on Recent Trends in Mathematics and Computer Science 2023 (ICRTMCS-2023), held on 19-21 October 2023 by the Auxilium College of Arts and Science for Women, Regunathapuram, Tamil Nadu, India. ICRTMCS-2023 was a multidisciplinary conference organized with the objective of bringing together eminent academicians, research scholars, and students to exchange ideas, communicate, to discuss research findings and new advances on recent and emerging trends in the field of Mathematics and Computer Science. Moreover, the conference would also enable the participants to explore new fields and gain immense knowledge. Conference Title: International Conference on Recent Trends in Mathematics and Computer Science 2023Conference Acronym: ICRTMCS-2023Conference Date: 19-21 October 2023Conference Venue: Hybrid (Online and Auxilium College of Arts and Science for Women, Regunathapuram, India)Conference Organizer: Departments of Mathematics and Computer Science, Auxilium College of Arts and Science for Women, Regunathapuram, Tamil Nadu, Indi