Updated: 27 December 2013
Basic Indicators | Nutrition | Health | HIV/AIDS | Education | Demographic Indicators | Economic Indicators | Women | Child Protection | The Rate Of Progress | Adolescents | Disparities By Residence | Disparities By Household Wealth | Early Childhood Development
PLOS ONE | www.plosone.org
May 2013 | Volume 8 | Issue 5 | e63476
Показано, что под названием марихуана, гашиш или каннабис подразумевается трава дико растущей
конопли «Cannabis sativa», из которой незаконно могут быть приготовлены ку...ительные смеси, известные в России под названиями спайс, арома микс, макона, а также жидкий экстракт на молоке, известный под жаргонным названием «манага» (или «молочище»). Указано, что ингаляционное введение в организм дыма от курительных смесей и энтеральное введение жидкого экстракта вызывает у наркоманов улучшение настроения и позволяет им получать удовольствие, поскольку трава, стебли, листья и соцветия конопли содержат каннабинолы, которые обладают галлюциногенным эффектом.
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September 2013
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Estas Normas pretendem ser um instrumento de apoio ao profissional
de saúde afecto às Unidades Sanitárias, à todos os níveis de atenção de
saúde para o diagnóstico, tratamento e seguimento da HTA, bem como
prevenção das complicações
Autres troubles
Chapitre H.4
The Burkina Faso Demographic and Health and Multiple Cluster Indicator Survey 2010 (DHS-MICS), or Enquête Démographique et de Santé et à Indicateurs Multiples du Burkina Faso 2010, was conducted by the Institut National de la Statistique et de la Démographie (INSD) of the Ministry of Economy a...nd Plan (MOEP) in collaboration with the Ministry of Health (MOH), with technical assistance from ICF International. Data for this nationally representative survey were collected from 14,424 households, and complete interviews were conducted with 17,087 women aged 15−49 and 7,307 men aged 15–59. The fieldwork took place from May 2010 to January 2011. The summary statistics presented below were taken from the 2010 Burkina Faso DHS-MICS (INSD and ICF International 2012), with exceptions as noted.
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Since the discovery of insulin nearly 100 years ago, advances in diabetes treatments and therapies have transformed the lives of people
with diabetes (PwD), notably reducing the daily burden of its management.
Newer technologies, including those driven by artificial intelligence, have the potentia...l to further improve the quality of life of PwD and help
identify and diagnose people at risk of developing Type 2 diabetes and diabetes-related complications early. However, medical and technological advances alone are not enough to fix the diabetes challenge. It is also critical to acknowledge the complexity and the seriousness of diabetes, its impact on the quality of life and well-being of over 32 million PwD in the EU and the financial burden it represents for health systems and society at large.
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