Nitin Agarwal – författare

The quintessential guide providing a one-stop roadmap to a neurosurgical career!

Neurological surgery is a complex, highly selective specialty. For medical students and residents, navigating a huge array of neurosurgical information can be overwhelming. Neurosurgery Fundamentals by Nitin Agarwal is a portable reference enabling swift assimilation of neurosurgical care essentials. The book starts with a roadmap to a career in neurosurgery. It concludes with Advice from the Masters, featuring invaluable resources and insights from prominent neurosurgeons.

Comprehensive technical overviews are provided on the neurological exam, neuroanatomy, neuroradiology, neurocritical care, traumatic brain and spinal cord injury, degenerative and deformity spine, neurovascular surgery, neurosurgical oncology, pediatric neurosurgery, functional neurosurgery, stereotactic radiosurgery, neurological infectious diseases, and interdisciplinary care. Socioeconomic topics include training, licensure, credentialing, and advocacy.

Key Features

Aspiring neurosurgical providers will benefit from the easy-to-digest wealth of information in this concise, yet comprehensive guide.

The one-stop, comprehensive resource for students considering a career in medicine

In recent years, applying to and getting accepted to medical school in the U.S. has become increasingly difficult. In 2020–2021, only 38% of the 53,370 students who applied to U.S. medical schools were accepted. For the most prestigious medical schools, the acceptance rate was just 1.4–2%. Pre-Medicine: The Complete Guide for Aspiring Doctors by Joel Thomas, Phillip Wagner, Ray Funahashi, and Nitin Agarwal is a comprehensive roadmap that guides aspiring physicians through the rigorous process of preparing for and getting into medical school in the U.S. By bringing together multiple authors with different life experiences and perspectives, this unique book has broad appeal to students from diverse backgrounds.

The text is organized by five sections: The Pre-Med Primer, Succeeding as a Pre-Medical Student, Applying to Medical School, Medical School and Career Insights, and an Appendix. This invaluable resource tackles challenging topics and addresses uncomfortable questions that necessitate engagement with multiple opposing viewpoints and careful data analysis. The first and foremost goal of this book is to get essential information into the hands of individuals that need it to succeed in their pre-med and medical school journey.

Key Features

This is a must-have resource for anyone who is considering a career in medicine. The no-holds-barred insights shared in this book will greatly optimize the chance of medical school applicants gaining admission to their top choice.

This book describes the methodologies and tools used to conduct social cyber forensic analysis. By applying these methodologies and tools on various events observed in the case studies contained within, their effectiveness is highlighted. They blend computational social network analysis and cyber forensic concepts and tools in order to identify and study information competitors.

Through cyber forensic analysis, metadata associated with propaganda-riddled websites are extracted. This metadata assists in extracting social network information such as friends and followers along with communication network information such as networks depicting flows of information among the actors such as tweets, replies, retweets, mentions, and hyperlinks. Through computational social network analysis, the authors identify influential actors and powerful groups coordinating the disinformation campaign. A blended social cyber forensic approach allows them to study cross-media affiliations of the information competitors. For instance, narratives are framed on blogs and YouTube videos, and then Twitter and Reddit, for instance, will be used to disseminate the message. Social cyber forensic methodologies enable researchers to study the role of modern information and communication technologies (ICTs) in the evolution of information campaign and coordination.

In addition to the concepts and methodologies pertaining to social cyber forensics, this book also offers a collection of resources for readers including several datasets that were collected during case studies, up-to-date reference and literature surveys in the domain, and a suite of tools that students, researchers, and practitioners alike can utilize. Most importantly, the book demands a dialogue between information science researchers, public affairs officers, and policy makers to prepare our society to deal with the lawless “wild west” of modern social information systems triggering debates and studies on cyberdiplomacy.

The 8 full papers and 2 short papers presented were carefully reviewed and selected from 26 submissions. The papers are organized in the following topical sections: computational intelligence in social sciences; modeling and analysis of social-behavioral processes.

This book constitutes the refereed proceedings of the Third International Conference on Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies, MSBC 2024, held in Almaty, Kazakhstan, in September 2024.

The 16 full papers presented here were carefully reviewed and selected from 42 submissions. These papers have been categorized under the following topical sections: Computational intelligence and game theory in social sciences; Data analysis and Large language models; Systems approach to economic and social policies modeling.

This book addresses the challenges of social network and social media analysis in terms of prediction and inference. The chapters collected here tackle these issues by proposing new analysis methods and by examining mining methods for the vast amount of social content produced. Social Networks (SNs) have become an integral part of our lives; they are used for leisure, business, government, medical, educational purposes and have attracted billions of users. The challenges that stem from this wide adoption of SNs are vast. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection. This text has applications to widely used platforms such as Twitter and Facebook and appeals to students, researchers, and professionals in the field.