This issue of Primary Care: Clinics in Office Practice, guest edited by Dr. Diane M. Harper, is devoted to Women's Health. Articles in this issue include: Social Constructs of How Women View and Obtain Their Healthcare; Becoming Reproductive; Family Planning and Contraception; Termination of Pregnancy; Female Athlete Triad; Menopause; Bone Health in Women; Cancers in Women; Cancer Survivor Health Needs for Women; Women’s Health and the Military; Transgendered Women: Female to Male and Male to Female; Plastic Surgery for Women; Integrative Health for Women; Geriatric Medicine and Palliative Care for Women; and Medication Assisted Treatment (MAT) Considerations for Women with Opiate Addiction Disorders.
In this book, John Lantos and Diane Lauderdale examine why the rate of preterm birth in the United States remains high--even though more women have access to prenatal care now than three decades ago. They also analyze a puzzling paradox: why, even as the rate of preterm birth rose through the 1990s and early 2000s, the rate of infant mortality steadily decreased. Lantos and Lauderdale explore both the medical practices that might give rise to these trends as well as some of the demographic changes that have occurred over these years.
Provides scientific & technical information that scientists can use along with other materials to develop ecological risk assessment guidance. Highlights important principles & approaches relevant to the ecological risk assessment framework that scientists should consider in preparing guidelines. Covers: biological stressors, ecological recovery, exposures characteristics, & much more. Figures & tables.
`As an undergraduate text [the book] does a superb job of traversing the wide expanse of ecology. Several chapters should be key components of any course on understanding weed ecology.' Biological Invasions --
An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.
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