Polymeric Materials for Bone and Cartilage Repair Using IBM SPSS Statistics Method

Abstract

Polymeric materials for bone and cartilage repair Introduction: Polymers are called macromolecules made up of very large molecules natural or artificial one of the classes of objects, the simple chemicals called monomers are multiples of units. Polymers many substances in living things make, for example, proteins, cellulose, and nucleic acids. Natural and synthetic polymeric materials in bone tissue engineering are widely used because they are extracellular similarity to matrices and have considerable biocompatibility and biodegradability. Research significance: One of the most harmful and expensive issues in human health is dysfunction, injuries, or other types of damage to human tissue and organs. Different surgical procedures have been developed to solve these concerns, including total artificial substitutes, combined artificial kidneys, etc. Inert processed tissues heart valves, autogenic or allogeneic tissues, and total artificial kidney and prosthetic kidneys (transplantation). Organ transplantation will face significant challenges due to the scarcity of organ donors, the lifetime requirement for immunity, and its devastating consequences. Also, transplanted tissue does not provide all the functionality own tissue and can covers the donor site problem. Concerning the non-biological, there could be material issues. Like, disease, and shortage limited durability and biocompatibility. These factors have made stem cells, tissue engineering (te), and organogenesis promising and significant industries. Research doesn't offer anything. Just organs and tissues transplantation, however, can provide fresh viewpoints medications for illnesses Methodology: SPSS statistics is a data management, advanced analytics, multivariate analytics, business intelligence, and criminal investigation developed by IBM for a statistical software package. A long time, spa inc. Was created by, IBM purchased it in 2009. The brand name for the most recent versions is IBM SPSS statistics. Evaluation parameters: Natural Polymer, Proteins Collagen, Silk fibroin, Polysaccharides Chitosan, Alginates, Bacterial cellulose, Synthetic Polymers. Results: the Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .590 which indicates 59% reliability. From the literature review, the above 61% Cronbach's Alpha value model can be considered for analysis. Conclusion: Cronbach's alpha reliability results. The overall Cronbach's alpha value for the model was .590, indicating a reliability of 59%. From the literature review, the above Cronbach's alpha value of 61% can be considered to analyze the model.