Yang Chen – författare

Why do some clinicians make better decisions than others?

Do all clinicians become better decision-makers over time?

Is decision-making in healthcare an independent and trainable skill?

This book is about the practice of medicine and the decision-making of the people we entrust with our care. While treatments, technologies and professional roles have evolved over the years, the essential act of decision-making has remained constant.

Through personal experience, research and feedback from colleagues across healthcare, the authors examine how metacognition – or thinking about thinking – can provide a toolkit with which to improve the decision-making of all healthcare professionals.

The rise of digital tools and AI-based clinical support systems makes this a critical time to grasp how human decision-makers operate and how to best harness the increasing volume of healthcare data available.

This is a thought-provoking read for professionals and curious minds alike, packed with ideas and practical advice about how to improve decision-making in healthcare and deliver better outcomes for patients.

Why do some clinicians make better decisions than others?

Do all clinicians become better decision-makers over time?

Is decision-making in healthcare an independent and trainable skill?

This book is about the practice of medicine and the decision-making of the people we entrust with our care. While treatments, technologies and professional roles have evolved over the years, the essential act of decision-making has remained constant.

Through personal experience, research and feedback from colleagues across healthcare, the authors examine how metacognition – or thinking about thinking – can provide a toolkit with which to improve the decision-making of all healthcare professionals.

The rise of digital tools and AI-based clinical support systems makes this a critical time to grasp how human decision-makers operate and how to best harness the increasing volume of healthcare data available.

This is a thought-provoking read for professionals and curious minds alike, packed with ideas and practical advice about how to improve decision-making in healthcare and deliver better outcomes for patients.

This book begins with covering the fundamentals of MATLAB programming and applications, and the solutions to different mathematical problems in simulation. The fundamentals of Simulink modelling and simulation are then presented, followed by coverage of intermediate level modelling skills and more advanced techniques in Simulink modelling and applications.

Finally the modelling and simulation of engineering and non-engineering systems are presented. The areas covered include electrical, electronic systems, mechanical systems, pharmacokinetic systems, video and image processing systems and discrete event systems.  Hardware-in-the-loop simulation and real-time application are also discussed.

Key features:

System Simulation Techniques with MATLAB and Simulink is a suitable textbook for senior undergraduate/postgraduate courses covering modelling and simulation, and is also an ideal reference for researchers and practitioners in industry.

This book begins with covering the fundamentals of MATLAB programming and applications, and the solutions to different mathematical problems in simulation. The fundamentals of Simulink modelling and simulation are then presented, followed by coverage of intermediate level modelling skills and more advanced techniques in Simulink modelling and applications.

Finally the modelling and simulation of engineering and non-engineering systems are presented. The areas covered include electrical, electronic systems, mechanical systems, pharmacokinetic systems, video and image processing systems and discrete event systems.  Hardware-in-the-loop simulation and real-time application are also discussed.

Key features:

System Simulation Techniques with MATLAB and Simulink is a suitable textbook for senior undergraduate/postgraduate courses covering modelling and simulation, and is also an ideal reference for researchers and practitioners in industry.

Clinical Guide to Gastroenterology is an accessible, quick-reference resource that provides practical, evidence-based information on investigations, interventions and management of clinical gastroenterological scenarios.

It is packed full with bullet points, diagrams, tables, and algorithms of the important presentations and conditions within Clinical Gastroenterology.

Divided into sections, the book offers in-depth coverage of presenting complaints in Gastroenterology, common conditions broken down by organ system, important investigations and procedures, and pharmacology. Detail is given to the sequence of clinical examination, investigations and management required to diagnose and treat a wide range of gastroenterological disorders.

Clinical Guide to Gastroenterology is a must-have text for junior doctors and medical students as well as doctors, nurses and trainees working within Emergency Departments, Medical, or Surgical Assessment Units.

Clinical Guide to Gastroenterology is an accessible, quick-reference resource that provides practical, evidence-based information on investigations, interventions and management of clinical gastroenterological scenarios.

It is packed full with bullet points, diagrams, tables, and algorithms of the important presentations and conditions within Clinical Gastroenterology.

Divided into sections, the book offers in-depth coverage of presenting complaints in Gastroenterology, common conditions broken down by organ system, important investigations and procedures, and pharmacology. Detail is given to the sequence of clinical examination, investigations and management required to diagnose and treat a wide range of gastroenterological disorders.

Clinical Guide to Gastroenterology is a must-have text for junior doctors and medical students as well as doctors, nurses and trainees working within Emergency Departments, Medical, or Surgical Assessment Units.

​This book focuses on the formation of human social consciousness and develops a naturalist approach to social normativity. Beginning from Marx''s uncompleted concept of social consciousness, the book retrospects the studies about collective intentionality in the area of philosophy of mind and social ontology. Specifically, a reinterpretation of social consciousness with respect to collective intentionality can offer us a new, naturalistic approach to the social formation and normativity. According to the naturalistic approach, we can discern the inner structure of social consciousness as a systematic pattern of Intentionality. Social consciousness involves three levels of development: subjective, objective and absolute. With this new pattern of social consciousness, the “naturalism” of the young Karl Marx can be revived. And by grasping the most essential ability of human Intentionality as the source of social formation, it also makes an interdisciplinary study of social philosophyand philosophy of mind possible.

This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on a large body of decentralized data. Its goal is to make full use of data across organizations or devices while meeting regulatory, privacy, and security requirements.

This book constitutes the refereed proceedings of the 9th China National Conference on Big Data and Social Computing, BDSC 2024, held in Harbin, China, during August 8–10, 2024.

The 28 full papers presented in this volume were carefully reviewed and selected from a total of 141 submissions. The papers in the volume are organized according to the following topics: digital society and public security; modelling and simulation of social systems; internet intelligent algorithm governance; social network and group behavior; innovation, risks, and network security of large language models; and artificial intelligence and cognitive science.