Part of a mini series of Focus books on COVID-19 in Malaysia, the chapters in this book addresses the psychosocial impact on the pandemic and ways in which people have learned to develop the ability to be more resilient despite the challenges of living and working during this public health crisis. Covering a range of topics including life under lockdown, working on the frontlines, and the rapid adaptation to online teaching, the contributors highlight the pervasiveness of the pandemic on Malaysian society, identified factors that potentially increase the psychosocial impact of the pandemic on different segments of the population and how Malaysians have found ways to cope throughout this period. This is an opportunity to witness how researchers from multiple disciplines can join forces during challenging times. There are a great many lessons to be learned from the successes and failures in responding to the pandemic and the measures that have been necessary to contain it. A fascinating read for scholars with an interest in crisis management in non-Western contexts, especially those with a particular interest in Malaysia, or Southeast Asia more generally.

This book offers a balanced and comprehensive guide to the core principles, fundamental properties, experimental approaches, and state-of-the-art applications of two major groups of emerging non-volatile memory technologies, i.e. spintronics-based devices as well as resistive switching devices, also known as Resistive Random Access Memory (RRAM). The first section presents different types of spintronic-based devices, i.e. magnetic tunnel junction (MTJ), domain wall, and skyrmion memory devices. This section describes how their developments have led to various promising applications, such as microwave oscillators, detectors, magnetic logic, and neuromorphic engineered systems. In the second half of the book, the underlying device physics supported by different experimental observations and modelling of RRAM devices are presented with memory array level implementation. An insight into RRAM desired properties as synaptic element in neuromorphic computing platforms from material and algorithms viewpoint is also discussed with specific example in automatic sound classification framework.

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.