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This edited volume Art and Challenges Involved in the Treatment of Ischemic Damage is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in this specific field. The book comprises single chapters authored by various researchers and edited by an expert active in the research area. All chapters are complete in themselves but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors and experts in the field of study and at opening new possible research paths for further novel developments.
El consumo de cannabis en España es significativo, involucrando a personas de entre 15 y 64 años. En 2022, el 40,9% de los españoles había probado el cannabis alguna vez, y el 10,6% lo consumió en los últimos 12 meses. Aunque el consumo ocasional es estable, el consumo diario aumentó del 1,7% en 2007 al 2,8% en 2022. Los jóvenes de 15 a 24 años muestran una mayor prevalencia, con un 22,6% reportando consumo en el último año. El consumo es más común entre hombres (14,4%) que entre mujeres (6,8%). En 2022, el 1,9% de la población de 15 a 64 años (aproximadamente 600.000 personas) tuvo un consumo problemático de cannabis. Sin embargo, entre aquellos que han consumido cannabis en...
Dym's analysis of Central America's early nineteenth-century politics shows nation-state formation to be a city-driven process that transformed colonial provinces into enduring states.
This book constitutes the refereed proceedings of the 5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014, held in Fukuoka, Japan, on June 28, 2014. The 28 papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on planning, simulation, patient specific models for computer assisted interventions, medical robotics and surgical navigation, interventional imaging and advanced intra-op visualization, cognition, modeling and context awareness, clinical applications, systems, software, and validation.
This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.
Records for the 2d- sess. issued in two sections: v. 1, Proceedings and v. 2, Resolutions.