A 2017 Poetry Book Society Recommendation. Following her groundbreaking 2014 debut An Aviary of Small Birds ("technically perfect poems of winged heartbreak" - Observer), Karen McCarthy Woolf returns with Seasonal Disturbances. Set against a backdrop of ecological and emotional turbulence, these poems are charged yet meditative explorations of nature, the city, and the self. A sinister CEO presides over a dystopian hinterland where private detectives investigate crimes against hollyhocks; Halcyon is discovered as a dead kingfisher, washed up on an Italian beach. Lyrical and inventive, McCarthy Woolf's poems test classic and contemporary forms, from a disrupted zuihitsu that considers her relationship with water, to the landay, golden shovel, and gram of &. As a fifth-generation Londoner and daughter of a Jamaican emigre, McCarthy Woolf makes a variety of linguistic subversions that critique the rhetoric of the British class system. Political as they may be, these poems are not reportage: they aim to inspire what the author describes as an "activism of the heart, where we connect to and express forces of renewal and love."

Seasonal affective disorder (SAD), or winter depression, is a mood disorder related to the change in the seasons and lack of exposure to daylight. It affects 1 in 100 adults in western countries. SAD is a rare example of a psychiatric disorder with a clear, identifiable biological cause. The new edition of this award winning book brings together distinguished scientists and opinion leaders to discuss the current and anticipated developments in the study and care of Seasonal Affective Disorder. Highlighting the clinical diagnosis and management of Seasonal Affective Disorder (SAD), this book provides a valuable resource for all whom are involved in the health care for patients with SAD. This book deals with the range of therapeutic measures that are available for the treatment of SAD. In addition, this book elucidates potential areas of research that have emerged such as the study of the circadian pacemaker and the night-time sleep structure and their interaction that influences mood.

In 1984, Dr. Norman Rosenthal and his colleagues published a seminal research paper on seasonal affective disorder (SAD), unveiling what they were convinced was the healing power of light therapy for people suffering from the illness. Since then, many scientific and medical communities have come to believe that the therapeutic use of light holds great promise for not only SAD, but also a variety of other disorders. This wide-ranging book combines in a single, cohesive reference new, up-to-the-minute findings with a complete summary of the available literature on light therapy. Seventeen contributors, leading clinicians studying the effects and uses of light treatment, discuss the impact of light and light therapy on such conditions as SAD, premenstrual depression, circadian phase sleep disorders, jet lag, shift work disorders, insomnia, and behavioral disturbances. Challenging conventional thinking about light therapy, several contributing authors make convincing cases for its positive effects in treating nonseasonal depression, bulimia nervosa, and other illnesses. Finally, members of a joint task force of the Society for Light Treatment and Biological Rhythms and the American Sleep Disorders Association explore the use of light for treating sleep disorders, as well as a combination of light and melatonin in some cases. Seasonal Affective Disorder and Beyond is an invaluable reference tool for clinicians, researchers, scientists, students, and consumers who want the latest information and opinion about the therapeutic uses of light compiled in one succinct, comprehensive volume.

Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic knowledge of classical linear regression models, of which a brief review is provided to refresh the reader's knowledge. Also, a few sections assume familiarity with matrix algebra, however, these sections may be skipped without losing the flow of the exposition. The book offers a step by step approach to the analysis of the salient features in time series such as the trend, seasonal, and irregular components. Practical problems such as forecasting and missing values are treated in some detail. This useful book will appeal to practitioners and researchers who use time series on a daily basis in areas such as the social sciences, quantitative history, biology and medicine. It also serves as an accompanying textbook for a basic time series course in econometrics and statistics, typically at an advanced undergraduate level or graduate level.

This report describes a radio investigation of traveling ionospheric disturbances carried out near Boulder, Colorado, over a 1-year period from June 1967 to June 1968. The three-dimensional motions of F2 layer disturbances were measured by the high frequency Doppler technique with spaced transmitters and at several probing frequencies. Horizontal motions were determined by cross-correlating three signals on frequencies near 5 MHz, whose reflection points were approximately at the corners of a horizontal equilateral triangle with 40-km sides. Vertical motions were determined from cross-correlation of signals on frequencies of 3.3, 4.0, and 5.1 MHz, whose reflection points were aligned vertically.

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