Carbon-Based Nanocarriers for Drug Delivery enlists the latitudes and advancements in the synthesis processes, functionalization, and applications of carbon-based nanomaterials (CBNs) in targeted drug delivery systems (DDSs). It covers the applicability and suitability of CBNs as nanocarriers for efficient drug delivery application via elucidating the recent advancements in CBNs, their functionalized and innovative derivatives, and the relevant case studies. The book explores the ...

Managing solid waste is one of the biggest challenges in urban areas around the world. Technologically advanced economies generate vast amounts of organic waste materials, many of which are disposed of in landfills. In the future, efficient use of carbon-containing waste and all other waste materials must be increased to reduce the need for virgin raw materials acquisition, including biomass, and reduce carbon emissions to the atmosphere, mitigating climate change. Moreover, expeditious de...

The healthcare industry is poised for a transformative leap, driven by the convergence of next-generation wireless technologies and the growing demand for patient-centered care. In the 6G era, connectivity is no longer merely a supporting tool—it is the foundation upon which healthcare delivery is being built. Patient-Centric 6G: A New Era in Smart Healthcare is a guide to understanding and harnessing this revolution, where technology and compassion converge to redefine how care i...

In the past two decades, new modeling efforts have gradually incorporated more molecular and structural detail in response to environmental and technical interests. Molecular Modeling in Heavy Hydrocarbon Conversions introduces a systematic molecule-based modeling approach with a system of chemical engineering software tools that can automate the e

In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industr...