Neha Agarwal

Green Solutions for Degradation of Pollutants is a compilation of reviews on environmental remediation by sustainable techniques. The book helps readers understand the potential of such techniques in resolving the growing problem of environmental pollutants. The editors have compiled 13 comprehensive reviews on green remediation techniques such as microbial bioremediation, nano-bioremediation, phytoremediation, and green-nanoremediation for the remediation of a variety of pollutants, including wastewater, microplastics, metals and other contaminants. Materials highlighted in the chapters include carbon quantum dots, plant extracts, metallic and organic nanoparticles. Green Solutions for Degradation of Pollutants is a reference book for readers who need to comprehend the practical application of green remediation techniques.

Artificial intelligence is a branch of computer science capable of analyzing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in many clinical scenarios. The clinical use of information technology in orthodontics has increased significantly in recent years. Last couple of decades, artificial intelligence (AI) and machine learning (ML) have undergone sizable development. There have been many applications in medicine and dentistry and the application in orthodontics has advanced slowly, regardless promising results. This book provides orthodontists with an overview of AI and ML, along with their applications. It describes state-of-the-art applications in the areas of orthodontic diagnosis, treatment planning, growth evaluations, and in the prediction of treatment outcomes. AI and ML are powerful tools that can be utilized to overcome some of the clinical problems that orthodontists face daily. With the availability of more data, better AI and ML systems should be expected to be developed that will help orthodontists practice more accurately and enhance the quality of care.