Catálogo de publicaciones - libros
EAES Guidelines for Endoscopic Surgery: Twelve Years Evidence-Based Surgery in Europe
E.A.M. Neugebauer ; S. Sauerland ; A. Fingerhut ; B. Millat ; G. Buess (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Surgery; Abdominal Surgery; Traumatic Surgery; Gynecology; Imaging / Radiology
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2006 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-32783-7
ISBN electrónico
978-3-540-32784-4
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2006
Información sobre derechos de publicación
© Springer-Verlag 2006
Cobertura temática
Tabla de contenidos
The EAES Clinical Practice Guidelines on the Evaluation of Quality of Life After Laparoscopic Surgery (2004)
Dragan Korolija; Stefan Sauerland; Sharon Wood-Dauphinée; Claude C. Abbou; Ernst Eypasch; Manuel García Caballero; Mary A. Lumsden; Bertrand Millat; John R.T. Monson; Gunilla Nilsson; Rudolf Pointner; Wolfgang Schwenk; Andreas Shamiyeh; Amir Szold; Emilio Targarona; Benno Ure; Edmund A.M. Neugebauer
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 1-38
The EAES Clinical Practice Guidelines on the Pneumoperitoneum for Laparoscopic Surgery (2002)
Jens Neudecker; Stefan Sauerland; Edmund A.M. Neugebauer; Roberto Bergamaschi; H.Jaap Bonjer; Alfred Cuschieri; Karl-Hermann Fuchs; Christoph A. Jacobi; F.W. Jansen; A.-M. Koivusalo; Antonio M. Lacy; M.J. McMahon; Bertrand Millat; Wolfgang Schwenk
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 39-85
Pneumoperitoneum – Update 2006
Ann-Cathrin Moberg; Agneta Montgomery
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 87-95
The EAES Clinical Practice Guidelines on Laparoscopic Antireflux Surgery for Gastroesophagel Reflux Disease (1997)
Ernst Eypasch; Edmund A.M. Neugebauer; F. Fischer; Hans Troidl; A.L. Blum; D. Collet; A. Cuschieri; B. Dallemagne; H. Feussner; K.-H. Fuchs; H. Glise; C.K. Kum; T. Lerut; L. Lundell; H.E. Myrvold; A. Peracchia; H. Petersen; J.J.B. van Lanschot
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 97-124
Gastroesophageal Reflux Disease – Update 2006
Karl-Hermann Fuchs; Ernst Eypasch
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 125-142
The EAES Clinical Practice Guidelines on the Diagnosis and Treatment of Diverticular Disease (1999)
Lothar Köhler; Stefan Sauerland; Edmund A.M. Neugebauer; R. Caprilli; A. Fingerhut; N.Y. Haboubi; L. Hultén; C.G.S. Hüscher; A. Jansen; H.-U. Kauczor; M.R.B. Keighley; F. Köckerling; W. Kruis; A. Lacy; K. Lauterbach; J. Leroy; J.M. Müller; H.E. Myrvold; P. Spinelli
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 143-156
Diverticular Disease – Update 2006
M.E. Kreis; K.W. Jauch
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 157-160
The EAES Clinical Practice Guidelines on Laparoscopic Resection of Colonic Cancer (2004)
Ruben Veldkamp; M. Gholghesaei; H.Jaap Bonjer; Dirk W. Meijer; M. Buunen; J. Jeekel; B. Anderberg; M.A. Cuesta; Alfred Cuschieri; Abe Fingerhut; J.W. Fleshman; P.J. Guillou; E. Haglind; J. Himpens; Christoph A. Jacobi; J.J. Jakimowicz; Ferdinand Koeckerling; Antonio M. Lacy; Emilio Lezoche; John R.T. Monson; Mario Morino; Edmund A.M. Neugebauer; S.D. Wexner; R.L. Whelan
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 161-207
Colonic Cancer – Update 2006
Ruben Veldkamp; M. Gholghesaei; H.Jaap Bonjer; Dirk W. Meijer; M. Buunen; J. Jeekel; B. Anderberg; M.A. Cuesta; Alfred Cuschieri; Abe Fingerhut; J.W. Fleshman; P.J. Guillou; E. Haglind; J. Himpens; Christoph A. Jacobi; J.J. Jakimowicz; Ferdinand Koeckerling; Antonio M. Lacy; Emilio Lezoche; John R.T. Monson; Mario Morino; Edmund A.M. Neugebauer; S.D. Wexner; R.L. Whelan
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 209-212
The EAES Clinical Practice Guidelines on Obesity Surgery (2005)
Stefan Sauerland; Luigi Angrisani; Mituku Belachew; J.M. Chevallier; Franco Favretti; Nicholas Finer; Abe Fingerhut; Manuel García Caballero; J.A. Guisado Macias; R. Mittermair; Mario Morino; Simon Msika; Francesco Rubino; Roberto Tacchino; Rudolf Weiner; Edmund A.M. Neugebauer
In reputation-based peer-to-peer systems, reputation is used to build trust between peers and help selecting the right peers to download from. In this paper, we argue that reputation should not be used for service differentiation among the peers. To provide the right incentives for peers to share files and contribute to the system, the new concept of is introduced for partially decentralized peer-to-peer systems. Service differentiation is achieved based on the of the peers rather than their reputations. Simulation results assess the ability of the proposed algorithm to effectively identify free riders and malicious peers that upload malicious content, hence reducing the level of service provided to these peers and preserving network resources. On the other hand, good peers that contribute to the system receive better services which increases their satisfaction significantly.
Pp. 213-257