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Solid Dispersions - An Approach to Enhance the Dissolution Rate

Solid Dispersions - An Approach to Enhance the Dissolution Rate

Santhi Priya Nagam; Siva Krishna Pusuluri; Sreenu Thalla

Lap Lambert Academic Publishing
2025
pokkari
Oxcarbazepine, 10, 11-dihydro- 10-oxo- 5H-dibenz(b, f)azepine- 5-carboxamide, is an anticonvulsant and mood stabilizing drug, used primarily in the treatment of epilepsy. It is also used to treat anxiety and mood disorders, and benign motor tics. Oxcarbazepine is marketed as Trileptal by Novartis and available in some countries as a generic drug. It is a prodrug which is activated to eslicarbazepine in the liver. It is a white or yellowish-white, crystalline powder; almost odourless, with a molecular weight of 252.268 g/mol. Oxcarbazepine is slightly soluble in acetone, chloroform, dichloromethane, and methanol. It is practically insoluble in ethanol, ether, and water. The drug exhibits low bioavailability related to its poor water solubility. Oxcarbazepine is a class II compound, i.e., water-insoluble, lipophilic, and highly permeable according to Biopharmaceutical Classification System. The purpose of this study was to prepare and characterize solid dispersions of the poor water soluble anticonvulsant with water soluble carrier such as primogel to improve its dissolution properties. The solid dispersions were prepared by co-grinding and solvent evaporation method.
Infection Control in Dentistry

Infection Control in Dentistry

Santhi Priya Bhupathi

Lap Lambert Academic Publishing
2025
pokkari
"Infection Control in Dentistry" focuses on the essential practices and protocols required to prevent the transmission of infectious diseases within dental settings. It emphasizes the importance of maintaining a sterile environment to protect both patients and dental professionals from harmful pathogens. The subject covers critical aspects such as proper sterilization and disinfection techniques for instruments, surface cleaning procedures, and the use of personal protective equipment (PPE). Additionally, it addresses the safe handling of waste and the management of cross-contamination risks. The curriculum also highlights the role of vaccination and infection control policies in maintaining a high standard of safety and hygiene. By adhering to infection control guidelines, dental professionals ensure the prevention of infections, thereby contributing to the overall health and safety of the community they serve.
Ultimate Enterprise Data Analysis and Forecasting using Python

Ultimate Enterprise Data Analysis and Forecasting using Python

Shanthababu Pandian

Orange Education Pvt Ltd
2023
nidottu
Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-MakingBook DescriptionEmbark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Python's prowess for efficient time series data analysis, exploring the core components and real-world applications across various industries through compelling use-case studies. From understanding classical models like AR, MA, ARMA, and ARIMA to exploring advanced techniques such as exponential smoothing and ETS methods, this guide ensures a deep understanding of the subject.It will help you navigate the complexities of vector autoregression (VAR, VMA, VARMA) and elevate your skills with a deep dive into deep learning techniques for time series analysis. By the end of this book, you will be able to harness the capabilities of Azure Time Series Insights and explore the cutting-edge AWS Forecast components, unlocking the cloud's power for advanced and scalable time series forecasting.Table of Contents1. Introduction to Python and its key packages for DS and ML Projects2. Python for Time Series Data Analysis3. Time Series Analysis and its Components4. Time Series Analysis and Forecasting Opportunities in Various Industries5. Exploring various aspects of Time Series Analysis and Forecasting6. Exploring Time Series Models - AR, MA, ARMA, and ARIMA7. Understanding Exponential Smoothing and ETS Methods in TSA8. Exploring Vector Autoregression and its Subsets (VAR, VMA, and VARMA)9. Deep Learning for Time Series Analysis and Forecasting10. Azure Time Series Insights11. AWSForecast Index