The COVID-19 pandemic dominated the globe for at least three years, and infected a large proportion of the worldwide population. After the acute infection, many stay in poor health for months. The nature of this aftermath is not yet fully understood, therefore the management of this syndrome through biomedical therapy is not ideal. Health services are struggling to help those who are still suffering. The condition has now been recognised as post-COVID-19 syndrome (PCS) — providing a common...

Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during train...

This book covers up-to-date evidence of Rapid on-site evaluation (ROSE) for diagnosis of rare disease and used combined with metagenomic sequencing technique in clinical scenarios. ROSE has becoming an efficient interventional diagnostics tool and important reference for lung diseases differentiation, increasing the adequacy rate, diagnostic yield and accuracy of the interventional pulmonary procedures.ROSE has its value in the field of evaluating sampling adequacy for further immu...

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potent...

In the fields of dynamical systems and control theory, a fractional-order system is a dynamical system that can be modeled by a fractional differential equation containing derivatives of non-integer order. In control systems, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by applying a discontinuous control signal (or more rigorously, a set-valued control signal) that forces the system to "slide" along a cross-section of the system's...