This book is about the kind of mathematics usually encountered in first year university courses. A key feature of the book is that this mathematics is explored in depth using the popular and powerful package Matlab. The emphasis is on understanding and investigating the mathematics, and putting it into practice in a wide variety of modelling situations. In the process, the reader will gain some fluency with Matlab, no starting knowledge of the package being assumed.
Although there appears to be a general understanding that the human brain functions similarly in women and in men, an increasing body of knowledge indicates that neuronal connectivity, recruitment, and disease patterns exhibit gender differences. There are clear gender differences in genetic expression, physiologic function, metabolism, hormonal makeup, and psychosocial profile, which often modify the clinical expression of neurologic and other diseases. In addition, ethnic, cultural, and economic factors are frequently overlooked in dealing with health problems of women, even though they undoubtedly have a strong influence on the clinical course of the illness. The second edition of Neurologic Disease in Women, the only text to specifically cover this important topic, will help physicians and other medical personnel seeking information relevant to clinical care. Sections address general anatomic, hormonal, epidemiologic, and drug aspects of women's health; neurologic conditions that arise during childhood, pregnancy, adulthood, and old age in females; and particular neurologic conditions that present differently or predominantly in females. There have been important advances in several areas prompting new chapters, new approaches and additional information provided in chapters on hormonal effects in women and the use of HRT; the adverse effects of antiepileptic drugs on hormonal homeostasis, weight and bone health; and cardiovascular diseases in women. New chapters include ones on reproductive and metabolic disorders with AED use, and on movement disorders.
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