Becoming Noise Music tells the story of noise music in its first 50 years, using a focus on the music's sound and aesthetics to do so. Part One focuses on the emergence and stabilization of noise music across the 1980s and 1990s, whilst Part Two explores noise in the twenty-first century. Each chapter contextualizes - tells the story - of the music under discussion before describing and interpreting its sound and aesthetic. Stephen Graham uses the idea of 'becoming' to capture the unresolved 'dialectical' tension between 'noise' disorder and 'musical' order in the music itself; the experiences listeners often have in response; and the overarching 'story' or 'becoming' of the genre that has taken place in this first fifty or so years. The book therefore doubles up on becoming: it is about both the becoming it identifies in, and the larger, genre-making process of the becoming of, noise music. On the latter count, it is the first scholarly book to focus in such depth and breadth on the sound and story of noise music, as opposed to contextual questions of politics, history or sociology. Relevant to both musicology and noise audiences, Becoming Noise Music investigates a vital but analytically underexplored area of avant-garde musical practice.

Cognitive behavioral therapy for insomnia (CBT-I) has emerged as the standard first-line treatment for insomnia. The number of patients receiving non-medication treatments is increasing, and there is a growing need to address a wide range of patient backgrounds, characteristics, and medical and psychiatric comorbidities. Adapting Cognitive Behavioral Therapy for Insomnia identifies for clinicians how best to deliver and/or modify CBT-I based on the needs of their patients. The book recommends treatment modifications based on patient age, comorbid conditions, and for various special populations.

Nearly 44 million people have Alzheimer's or related dementia worldwide, according to the Alzheimer's Disease International organization. That number is expected to double every 20 years. Unlike other books on the market, Alzheimer's Disease: Understanding Biomarkers, Big Data, and Therapy covers recent advancements in cognitive, clinical, neural, and therapeutic aspects of Alzheimer's and other forms of dementia. First, readers are introduced to cognitive and clinical studies, focusing on the different types of memory impairment, past and future thinking. This includes the prevalence of depression, its relationship to other symptoms, and the quality of life for those with Alzheimer's disease. In addition, the book discusses recent studies on memory dysfunction in advanced-stage Alzheimer's disease, in comparison to early-stage, including a chapter on the underlying factors in the transition from mild cognitive impairment to Alzheimer's diagnosis. Following this section, the book presents recent studies on the role of different cortical and subcortical structures in the development of various symptoms in Alzheimer's disease, as well as different neural biomarkers underlying the development and treatment of the disease. In the last section of the book, therapeutic aspects of Alzheimer's disease, focusing on behavioral and pharmacological treatments of sleep disorders, memory problems, and depression, are reviewed. The book aids readers in understanding the advances in research and care, making it a prime tool for all clinicians, psychologists, researchers, neurologists, and caregivers of dementia patients.