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L'impact de la fermentation sur les niveaux de HAP dans les extraits d'Artemisia Annua

L'impact de la fermentation sur les niveaux de HAP dans les extraits d'Artemisia Annua

Patrick Dooyum; Tersoo Eric Taave; Simon Edoka Edache

Editions Notre Savoir
2025
pokkari
Cette tude a valu les hydrocarbures aromatiques polycycliques (HAP) dans des extraits de feuilles ferment es d'Artemisia annua, une plante m dicinale connue pour ses propri t s antipaludiques et ses bienfaits pour la peau. Avec l'utilisation croissante de la plante dans la m decine traditionnelle nig riane, nous avons tudi comment la fermentation, qui am liore les compos s bioactifs, affecte les niveaux de HAP, connus pour leurs risques canc rig nes et mutag nes. Les feuilles ont t ferment es l'aide de Saccharomyces cerevisiae et analys es par chromatographie en phase gazeuse et spectrom trie de masse (GC-MS), ce qui a permis d'identifier 24 compos s HAP, dont le naphtal ne et l'anthrac ne. Les r sultats ont montr que la fermentation peut modifier les profils des HAP, certains compos s pr sentant des concentrations accrues qui peuvent pr senter des risques pour la sant en cas de consommation excessive. Si la fermentation peut renforcer les propri t s th rapeutiques, elle soul ve galement des probl mes de s curit concernant la contamination des plantes m dicinales par les HAP, soulignant la n cessit d'une r glementation rigoureuse dans les pratiques de m decine traditionnelle.
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Mémoires de Mme de Staal-Delaunay, de M. Le Marquis d'Argenson Et de Madame (Éd.1853)

Mémoires de Mme de Staal-Delaunay, de M. Le Marquis d'Argenson Et de Madame (Éd.1853)

Marguerite Jeanne Cordier Staal de Launay; René-Louis de Voyer Argenson; Charlotte Elisabeth de Bavière D' Orléans; Louis de Rouvroy de Saint-Simon

Hachette Livre - BNF
2013
pokkari
Memoires de Mme de Staal-Delaunay, de M. le marquis d'Argenson et de Madame, mere du Regent; suivis d'eclaircissements extraits des Memoires du duc de Saint-Simon / avec avant-propos et notices, par M. Fs. BarriereDate de l'edition originale: 1853"Collection: Bibliotheque des memoires relatifs a l'histoire de France pendant le 18e siecle; tome 1"Ce livre est la reproduction fidele d une uvre publiee avant 1920 et fait partie d une collection de livres reimprimes a la demande editee par Hachette Livre, dans le cadre d un partenariat avec la Bibliotheque nationale de France, offrant l opportunite d acceder a des ouvrages anciens et souvent rares issus des fonds patrimoniaux de la BnF.Les uvres faisant partie de cette collection ont ete numerisees par la BnF et sont presentes sur Gallica, sa bibliotheque numerique.En entreprenant de redonner vie a ces ouvrages au travers d une collection de livres reimprimes a la demande, nous leur donnons la possibilite de rencontrer un public elargi et participons a la transmission de connaissances et de savoirs parfois difficilement accessibles.Nous avons cherche a concilier la reproduction fidele d un livre ancien a partir de sa version numerisee avec le souci d un confort de lecture optimal. Nous esperons que les ouvrages de cette nouvelle collection vous apporteront entiere satisfaction.Pour plus d informations, rendez-vous sur www.hachettebnf.fr
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Mémoires de Mme de Staal-Delaunay, de M. Le Marquis d'Argenson Et de Madame (Éd.1846)

Mémoires de Mme de Staal-Delaunay, de M. Le Marquis d'Argenson Et de Madame (Éd.1846)

Marguerite Jeanne Cordier Staal de Launay; René-Louis de Voyer Argenson; Charlotte Elisabeth de Bavière D' Orléans; Louis de Rouvroy de Saint-Simon

Hachette Livre - BNF
2013
pokkari
Memoires de Mme de Staal-Delaunay, de M. le marquis d'Argenson et de Madame, mere du Regent; suivis d'eclaircissements extraits des Memoires du duc de Saint-Simon / avec avant-propos et notices, par M. Fs. BarriereDate de l'edition originale: 1846"Collection: Bibliotheque des memoires relatifs a l'histoire de France pendant le 18e siecle; tome 1"Ce livre est la reproduction fidele d une uvre publiee avant 1920 et fait partie d une collection de livres reimprimes a la demande editee par Hachette Livre, dans le cadre d un partenariat avec la Bibliotheque nationale de France, offrant l opportunite d acceder a des ouvrages anciens et souvent rares issus des fonds patrimoniaux de la BnF.Les uvres faisant partie de cette collection ont ete numerisees par la BnF et sont presentes sur Gallica, sa bibliotheque numerique.En entreprenant de redonner vie a ces ouvrages au travers d une collection de livres reimprimes a la demande, nous leur donnons la possibilite de rencontrer un public elargi et participons a la transmission de connaissances et de savoirs parfois difficilement accessibles.Nous avons cherche a concilier la reproduction fidele d un livre ancien a partir de sa version numerisee avec le souci d un confort de lecture optimal. Nous esperons que les ouvrages de cette nouvelle collection vous apporteront entiere satisfaction.Pour plus d informations, rendez-vous sur www.hachettebnf.fr
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Statistical Evidence in Medical Trials

Statistical Evidence in Medical Trials

Stephen D. Simon

Oxford University Press
2006
sidottu
Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals. Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control.
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Statistical Evidence in Medical Trials

Statistical Evidence in Medical Trials

Stephen D. Simon

Oxford University Press
2006
nidottu
Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals. Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control.
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The Terrorist Trap, Second Edition

The Terrorist Trap, Second Edition

Jeffrey D. Simon

Indiana University Press
2001
pokkari
The bombings of the Murrah Federal Building in Oklahoma City and of the World Trade Center in New York City have joined a long history of terrorists acts against the United States. In this newly updated edition of his book, Jeffrey Simon reaches back to the founding days of the Republic to tell a story that is both instructive and alarming. Simon uncovers the dynamics of a deadly conflict that affects all Americans. His in-depth interviews with terrorists and their victims, with reporters, government officials, and others bring to life a tale of presidents and terrorists, media and society, all entangled in a drama of international violence. The Terrorist Trap traces the government response to terrorism from the days of Thomas Jefferson and the Barbary Pirates to William Jefferson Clinton's confrontation with homegrown terrorism. It explores the terrorist trap: the psychological, political, and social elements that make terrorism unlike any other conflict. With the end of the Cold War and the defeat of Saddam Hussein's army in the Gulf War, many believed that the threat of terrorism had been significantly reduced. But Simon shows how terrorism grows out of political, economic, and social grievances that can never be fully resolved, as events in Israel and elsewhere continue to demonstrate. Living with terrorism will be an inescapable part of life in the twenty-first century. Simon calls on officials to move away from the useless rhetoric of defeating terrorism and to focus instead on achievable goals in combating this global problem.
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Fight For Public Health

Fight For Public Health

Simon Chapman; D. Lupton

BMJ Books
1994
nidottu
Covering theory and practice, this guide explores the field of public health advocacy from the perspectives of the sociology of news production and public health activism. The second section offers an A-Z of strategies for gaining media attention, with many entries illustrated by case histories.
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Computer Vision

Computer Vision

Simon J. D. Prince

Cambridge University Press
2012
sidottu
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. • Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry • A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking • More than 70 algorithms are described in sufficient detail to implement • More than 350 full-color illustrations amplify the text • The treatment is self-contained, including all of the background mathematics • Additional resources at www.computervisionmodels.com
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