79 results on '"S. Beghelli"'
Search Results
2. Alcuni spunti di storia della matematica ad uso culturale e didattico
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L. Armaroli, G. Bartolini, S. Beghelli, L. Branchetti, D. Dal Santo, D. Dragoni, M. Intelisano, E. Laghi, A. Lemmo, L. Montelpare, L. Pasqualini, M. Venturini, FERRETTI, FEDERICA, L. Armaroli, G. Bartolini, S. Beghelli, L. Branchetti, D. Dal Santo, D. Dragoni, F. Ferretti, M. Intelisano, E. Laghi, A. Lemmo, L. Montelpare, L. Pasqualini, and M. Venturini
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DIDATTICA DELLA MATEMATICA - Published
- 2010
3. Integrated Fault Diagnosis and Fault Tolerant Control Design for an Aircraft Model
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M. Bonfè, s. Simani, s. beghelli, CASTALDI, PAOLO, CONTROL THEORY AND APPLICATIONS CENTRE, M. Bonfè, P. Castaldi, s. Simani, and s. beghelli
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fault tolerant system ,Fault detection and diagnosis ,active control ,nonlinear geometric approach ,aircraft simulator ,Hardware_PERFORMANCEANDRELIABILITY - Abstract
The paper investigates the development of an active fault tolerant control strategy obtained from the integration of a fault detection and diagnosis module with a controller reconfiguration method. The methodology is based on a fault detection and diagnosis procedure relying on adaptive filters designed via a nonlinear approach. The controller reconfiguration mechanism exploited in the control loop relies on the on–line estimate of the fault signal. The active fault tolerant control scheme is applied to a simulator of an aerial vehicle in several flight conditions, in the presence of actuator faults, turbulence, measurement noise, and modelling errors.
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- 2009
4. Diagnosis techniques for sensor faults of industrial processes
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Silvio Simani, Cesare Fantuzzi, and S. Beghelli
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unknown input observers ,Data processing ,Engineering ,business.industry ,industrial gas turbine ,Estimator ,Kalman filter ,Control System ,Fault diagnosis ,Residual ,Fault detection and isolation ,model-based approach ,Control and Systems Engineering ,Control theory ,Control system ,Redundancy (engineering) ,Errors-in-variables models ,Electrical and Electronic Engineering ,business - Abstract
A model-based procedure exploiting analytical redundancy for the detection and isolation of faults in input-output control sensors of a dynamic system is presented. The diagnosis system is based on state estimators, namely dynamic observers or Kalman filters designed in deterministic and stochastic environments, respectively, and uses residual analysis and statistical tests for fault detection and isolation. The state estimators are obtained from an input-output data process and standard identification techniques based on ARX or errors-in-variables models, depending on signal to noise ratio. In the latter case the Kalman filter parameters, i.e., the model parameters and input-output noise variances, are obtained by processing the noisy data according to the Frisch scheme rules. The proposed fault detection and isolation tool has been tested on a single-shaft industrial gas turbine model. Results from simulation show that minimum detectable faults are perfectly compatible with the industrial target of this application.
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- 2000
5. Parameter identification for piecewise-affine fuzzy models in noisy environment
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Riccardo Rovatti, Cesare Fantuzzi, Silvio Simani, and S. Beghelli
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Structure (mathematical logic) ,Mathematical optimization ,piecewise-affine constrained models ,Automatic control ,Neuro-fuzzy ,non-linear system identification ,Applied Mathematics ,fuzzy model ,noisy data ,Frisch scheme ,Linear system ,System identification ,Fuzzy logic ,Theoretical Computer Science ,Identification (information) ,Artificial Intelligence ,Fuzzy number ,Algorithm ,Software ,Mathematics - Abstract
In this paper the problem of identifying a fuzzy model from noisy data is addressed. The piecewise-affine fuzzy model structure is used as non-linear prototype for a multi–input, single–output unknown system. The consequents of the fuzzy model are identified from noisy data which are collected from experiments on the real system. The identification procedure is formulated within the Frisch scheme, well established for linear systems, which is extended so that it applies to piecewise-affine, constrained models.
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- 1999
6. Design of Residual Generators for the Fault Diagnosis of General Aviation Aircraft
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S. Beghelli, M. Bonfè, S. Simani, BERTONI, GIANNI, CASTALDI, PAOLO, GERI, WALTER, S. Beghelli, G. Bertoni, M. Bonfè, P. Castaldi, w. Geri, and S. Simani
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FLIGHT CONTROL ,FILTER DESIGN ,AEROSPACE APPLICATION ,POLYNOMIAL METHODS ,FAULT DETECTION AND ISOLATION - Abstract
This paper addresses the problem of the diagnosis of the input sensor faults on general aviation aircraft, characterised by a non–linear model, in the presence of windgust disturbance and measurement errors. In particular, this work investigates the design of residual generators in order to realise complete diagnosis schemes when additive faults are present. The use of an input–output description for the linearised model of the aircraft allows to compute in a straightforward way the residual generators for fault diagnosis. These tools lead to dynamic filters that can achieve both good disturbance signal decoupling and robustness properties with respect to both linearisation error and measurement noise. Mathematical descriptions of theaircraftmeasurementsensorsarealsotakenintoaccount. The results obtained in the simulation of the faulty behaviour of a PIPER PA30 aircraft are finally reported.
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- 2005
7. Rank Reducibility of a Covariance Matrix in the Frisch Scheme
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Paolo Castaldi, S. Beghelli, and U. Soverini
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Set (abstract data type) ,Polynomial ,Mathematical optimization ,Mathematical model ,Rank (linear algebra) ,Covariance matrix ,Diagonal ,Errors-in-variables models ,Applied mathematics ,Point (geometry) ,Mathematics - Abstract
The Frisch scheme for identification of mathematical models from data corrupted by additive noise contains many unsolved aspects. One of the principal problems, of particular interest for factor analysis and structural regression methodologies, concerns rank reducibility of a covariance matrix simply by changing its diagonal entries. With reference to this topic, the paper shows that the mathematical models compatible with the data are the solutions of a set of polynomial equations which satisfy some well-defined constraints. The approach is based on the rank reducibility criteria suggested in a well-known paper by Ledermann, generalized to take into account the definiteness conditions on the noise-free covariance matrix. The results obtained give a deeper insight on the theoretical properties of the Frisch scheme and can represent a starting point for the design of numerical algorithms to solve the problem.
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- 1996
8. The Frisch Identification Scheme: Properties of the Solution in the Dynamic Case
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Paolo Castaldi, S. Beghelli, Roberto Guidorzi, and U. Soverini
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Mathematical optimization ,Identification scheme ,Estimation theory ,Computer science ,Scheme (mathematics) ,Linear system ,System identification ,Selection criterion - Abstract
This paper investigates some of the many algebraic properties of the solution of the Frisch identification scheme applied to dynamic systems. These properties are related to the design of a robust selection criterion leading to a single model also when the assumptions of the scheme are not fulfilled.
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- 1994
9. Congruence Conditions Between System Identification and Kalman Filtering
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S. Beghelli, U. Soverini, Roberto Guidorzi, and Paolo Castaldi
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Extended Kalman filter ,Control theory ,Filtering problem ,Fast Kalman filter ,Observability ,Linear-quadratic-Gaussian control ,Alpha beta filter ,Kalman decomposition ,Invariant extended Kalman filter ,Mathematics - Abstract
In this paper consideration is given to the problem of determining an optimal estimate of the output of a linear dynamic SISO system from the knowledge of the input-output data corrupted by additive noise. The solution of this problem can be divided into two steps: first. the model of the system and of the noise affecting the data is identified. then a Kalman filter is designed on the basis of this model. Since the result of the identification scheme may be a whole family of models. a comparison between these different systems is analyzed with refcrence to the behavior of the associated Kalman filters. Some silmulation results are finally discussed.
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- 1992
10. Identification of linear relations from noisy data: Geometrical aspects
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Umberto Soverini and S. Beghelli
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General Computer Science ,Estimation theory ,Mechanical Engineering ,Linear system ,System identification ,Linear model ,Identification (information) ,Bruit ,Control and Systems Engineering ,Linear algebra ,medicine ,Noise (video) ,Electrical and Electronic Engineering ,medicine.symptom ,Algorithm ,Mathematics - Abstract
The problem of determining linear models from data corrupted by noise has been revisited by several authors in recent years. With reference to the Frisch scheme, this work presents some geometrical aspects regarding the sets of solutions obtained in the identification procedure. An analysis is made on how these sets vary as the amount of noise on the data varies; the existence of particular solutions for data linked by a number of linear relations greater than one, is also shown.
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- 1992
11. PID controller design application based on a boiler process model identification
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S. Simani and S. Beghelli
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Engineering ,Observational error ,business.industry ,PID ,Boiler (power generation) ,System identification ,PID controller ,standard controller ,Control engineering ,LTI system theory ,Algebraic equation ,Step response ,boiler process ,linear algebra ,system identification ,Control theory ,Digital control ,business - Abstract
This paper studies the application results of a method for estimating and tuning the parameters of a digital PID controller. The PID coefficients are computed by means of the identification of the parameters of a discrete-time time invariant input-output dynamic linear model of the process under investigation. The proportional, integral and derivative PID controller terms are thus evaluated by solving a set of algebraic equations obtained by imposing a number of constraints regarding the step response dynamic characteristics of the monitored system. The achieved results are shown when the proposed tuning approach is applied to the real data acquired from a low power boiler used to generate hot water for both domestic use and heating. Therefore, the reliability properties of the PID designed according to the suggested technique are verified by considering different working conditions of the boiler plant. Moreover, these extensive experiments are also used for assessing the overall capabilities of the developed PID design scheme, in the presence of both measurement and modelling errors. Comparisons with different controller design methods available in the related literature are finally reported.
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- 2007
12. Residual Generation for Small Commercial Aircraft Fault Diagnosis
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S. Beghelli, M. Bonfé, S. Simani, BERTONI, GIANNI, CASTALDI, PAOLO, GERI, WALTER, AA VV, S.Beghelli, G.Bertoni, M.Bonfé, P.Castaldi, W.Geri, and S.Simani
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polynomial methods ,filter design ,Fault detection and isolation ,aerospace application ,flight control - Abstract
This paper describes the project regarding the problem of the detection and isolation of the input and output sensor faults on a general aviation aircraft, characterised by a non–linear model, in the presence of wind gust disturbance and measurement errors. In particular, this work investigates the design of residual generators in order to realise complete diagnosis schemes when additive faults are present. The use of an input–output description for the linearised model of the aircraft allows to compute in a straightforward way the residual generators for fault detection and isolation. These tools lead to dynamic filters that can achieve both good disturbance signal de–coupling and robustness properties with respect to both linearisation error and measurement noise. Mathematical descriptions of the aircraft measurement sensors are also taken into account. The results obtained in the simulation of the faulty behaviour of a PIPER PA30 aircraft are finally reported
- Published
- 2005
13. Parameter identification of piecewise affine dynamic models from input-output data
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S. Beghelli, Silvio Simani, Riccardo Rovatti, and Cesare Fantuzzi
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non--linear system ,Input/output ,Dynamic system identification ,Degree (graph theory) ,dynamic system identification ,noise rejection ,Process (computing) ,Structure (category theory) ,hybrid model ,multiple model ,Regression analysis ,Noise rejection ,Multiple model ,Non-linear system ,Identification (information) ,Control theory ,Simple (abstract algebra) ,Piecewise affine ,Algorithm ,Hybrid model ,Mathematics - Abstract
This paper addresses the identification of non-linear dynamic systems. A wide class of these systems can be described using non-linear time-invariant regression models, that can be approximated by means of piecewise affine prototypes with an arbitrary degree of accuracy. This work concerns the identification of piecewise affine model structure through input-output data acquired from a dynamic process. In order to show the effectiveness of the developed technique, the results obtained in the identification of both a simple simulated system and a real dynamic process are reported.
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- 2003
14. Noise rejection in parameters identification for piecewise linear fuzzy models
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S. Beghelli, Silvio Simani, Cesare Fantuzzi, and Riccardo Rovatti
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noise ,Adaptive neuro fuzzy inference system ,fuzzy systems ,multivariable systems ,parameter estimation ,uncertain systems ,Frisch scheme ,piecewise linear fuzzy models ,Estimation theory ,Linear system ,Linearity ,Fuzzy control system ,Fuzzy logic ,Piecewise linear function ,Nonlinear system ,Control theory ,Mathematics - Abstract
The fuzzy model identification problem from noisy data is addressed. The piecewise linear fuzzy model structure is used as a nonlinear prototype for a multi-input, single-output unknown system. The consequent of the fuzzy model is identified using noisy data, e.g. collected from experiments on a real system. The identification procedure is formulated within the Frisch scheme, well established for linear systems, which has been modified and improved to be applied in fuzzy systems field.
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- 2002
15. Pancreatic head mass: what can be done? Classification: the pathological point of view
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G, Zamboni, P, Capelli, A, Pesci, S, Beghelli, J, Lüttges, and G, Klöppel
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Pancreatic Neoplasms ,Pancreatitis ,Humans ,Pancreatic Diseases ,Adenocarcinoma - Published
- 2002
16. Identification of piecewise affine models in noisy environment
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Cesare Fantuzzi, Riccardo Rovatti, Silvio Simani, and S. Beghelli
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Mathematical optimization ,Degree (graph theory) ,non-linear system identification ,Process (computing) ,Regression analysis ,Fuzzy control system ,piecewise affine prototypes ,additive noise ,errors-in-variables models ,real dynamic process ,Computer Science Applications ,Affine shape adaptation ,Fuzzy Control ,Identification (information) ,Noise ,Control and Systems Engineering ,Simple (abstract algebra) ,Algorithm ,Mathematics - Abstract
This paper addresses the identification of non-linear systems. A wide class of these systems can be described using non-linear time-invariant regression models, that can be approximated by means of piecewise affine prototypes with an arbitrary degree of accuracy. This work concerns the identification of piecewise affine model parameters through input-output data affected by additive noise. In order to show the effectiveness of the developed technique, the results obtained in the identification of both a simple simulated system and a real dynamic process are reported.
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- 2002
17. Fault Detection and Isolation Based on Dynamic Observers Applied to Gas Turbine Control Sensors
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R. Bettocchi, Silvio Simani, Cesare Fantuzzi, P. R. Spina, and S. Beghelli
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Gas turbines ,Engineering ,business.industry ,analytical redundancy ,sensor faults ,dynamic observers ,Industrial gas ,Control engineering ,Residual ,Turbine ,Fault detection and isolation ,machine malfunction monitoring ,Control theory ,fault detection and isolation ,single-shaft industrial gas turbine ,Redundancy (engineering) ,business - Abstract
In order to prevent machine malfunctions and to determine the machine operating state, it is necessary to use correct measurements from actual system inputs and outputs. This requires the use of techniques for the detection and isolation of sensor faults. In this paper an approach based on analytical redundancy which uses dynamic observers is suggested to solve the sensor fault detection and isolation problem for a single-shaft industrial gas turbine. The proposed technique requires the generation of classical residual functions obtained with different observer configurations. The diagnosis is performed by checking fluctuations of these residuals caused by faults.
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- 1998
18. TH-302 + Gemcitabine (G + T) vs Gemcitabine (G) in Patients with Previously Untreated advanced Pancreatic Cancer (PAC)
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Alain Duhamel, A. Tsuburaya, Mali Okada, S. Kuwabara, H. Hasegawa, A.L. Cohn, Anne Thirot-Bidault, J.R. Delgado, O.U. Unal, J. Isaacson, S. Khudayorov, Sue Ward, N. Mueller, Riccardo Lencioni, Giovanni Abbadessa, D. Takahari, T. Watanabe, Luca Faloppi, Y. Hamamoto, Julia Hocke, Elwyn Loh, M. Aizawa, E. Trejo, A. Novarino, A. Ohtsu, K. Okita, M.J. Flor, Riccardo Giampieri, C. Rose, D. Gonzalez-De-Castro, H. Isayama, M. Esaki, Jean-Pierre Bronowicki, S. Cereda, S. Hironaka, A. Sawaki, I. Iwanicki-Caron, L. Ferrari, J. Stephenson, F. Gerevini, E. Francois, T. Okusaka, S. De Minicis, Cristian Loretelli, S.Y. Roh, A. González-Vicente, F. Richard, H. Tuyev, A. Laforest, K. Lin, M. Milic´evic´, Chunming Li, Wolfgang Eisterer, P. Basile, Mohamed Gasmi, S. Hazama, M. Botta, Seiji Kawazoe, Jean-Luc Raoul, Y. Jiang, I. Trouilloud, B. Nagy, E. del Valle, Satoshi Yuki, K.W. Park, Hanno Riess, M. Bartosiewicz, L. Rolfe, H. Fang, E. Gardner, A. Benedetti, A. Carrato, E. Vasile, Takayuki Kii, N. Suzuki, Y. Shimada, S.F. Ang, S. Fushida, V. Vaccaro, Y. Liu, E. Castanon Alvarez, Y. Ozaki, D. Mirabelli, Ozgur Ozyilkan, J.E. Battley, C.H.S. Kim, N. Weijl, B. Bui, J.C. Sabourin, M. Hejna, Raymond Miller, N. Besova, Jinhui Xu, Ian Chau, J.-L. Van Laethem, Eric Vibert, Philippe Mathurin, H. Yabusaki, Melissa Frizziero, J. Soberino García, S. Salvagni, M. Zhu, Christoph Schuhmacher, Y. Yamada, A. Hubert, R. Libener, S.T. Dimoudis, Jonathan Wadsley, J. Martinez-Galan, Coskun U, V. Karavasilis, Cem Parlak, N. Jain, T. Gamucci, Elisa Giovannetti, R. Gupta, Suleyman Buyukberber, Jose Javier Sanchez, Taro Tokui, Kenneth K. Tanabe, V. Nerich, G. Dyson, Y. Kawachi, J. Reis-Filho, Junichi Sakamoto, A. Mohar-Betancourt, Masahide Mori, Aytug Uner, S. Martin Algarra, C.-J. Yen, J.J. Critchfield, Y. Naomoto, Julien Taieb, Young Seon Hong, Hironori Yamaguchi, S. Jiao, Alan P. Venook, C. Pericay, R.H. Wilson, D. Ferrari, Peter R. Galle, S. Falcon, Emilio Bria, L. Paz-Ares, Anna Tomezzoli, S. Al-Batran, G. Luppi, Jean-Marie Boher, I. Park, F. De Vita, Roland Leung, M. Abdelwahab, A. Ravaioli, Takuya Suzuki, C. Szczylik, C. González-Rivas, Sarita Dubey, Y. Miyashita, J.Y. Lim, Y. Chen, F. El Hajbi, Ichinosuke Hyodo, Tsutomu Chiba, C. Kondo, S. Ye, Thomas Aparicio, M. Nesrine, T. Ganten, T. Nishina, G. Grazi, A.C. Dupont-Gossard, I. Oze, F. Nosrati, J.H. Yook, C. Yoo, N.A. Adu-Aryee, M. Choi, Narikazu Boku, P. Chan, John Bridgewater, A. Gimenez-Capitan, Hamim Zahir, R. Hela, T. Villegas, Stefano Barbi, György Bodoky, D. Degiovanni, Y. Honma, A. Croitoru, K. Koufuji, Lorenza Rimassa, A. Tsuji, Yueyang Shen, Nathan Bahary, S. Abdelwahab, N. Matsuura, Parsee Tomar, L. Yu, Mohammed Elbassiouny, B. Ryoo, S. Adachi, Jean-Robert Delpero, V.D.N.K. Vanderpuye, S.T. Oh, E. Samantas, Amit Bahl, N. Karachaliou, Thierry Lecomte, S. Yoshino, H. Hahn, A. Matsuki, K. Nakamura, D.S. Johnston, M. Del Prete, Per Stål, R. Greil, Dirk Arnold, K. Ridwelski, J. Zhao, K. Shirouzu, Meltem Baykara, G. De Manzoni, I. Lang, K. Aoyagi, A. Fukutomi, Joji Kitayama, Antonieta Salud, K. Beecham, Y. Inoue, Armando Santoro, R. Rosell, P. Malfertheiner, Tsutomu Fujii, Jeong-Yeol Park, S. Taylor, K. Nakajima, Matus Studeny, H. Jiang, M. Shimada, O. Abdelrhman, Camillo Porta, P. Ballesteros, S. Lecleire, K. Han, G. Svegliati Baroni, Michitaka Nagase, François Paye, W. Rodriguez Pantigoso, M.M. Eatock, H.C. Toh, M. Ikeda, Hironori Ishigami, N. Stankovic, H. Kumada, K. Shitara, X. Zhang, E. Arevalo, R. Poon, M. Allard, Y.-Y. Lin, D. Egamberdiev, Shin'ichi Miyamoto, P. Afchain, Harpreet Wasan, Mitesh J. Borad, J. Blay, Dong Sup Yoon, H. Kawai, L. Jin, Margaret Sheehan, T. Otsuji, M. Lichinitser, Ahmet Ozet, R. Savage, Heind Smith, L. Zubiri, Tim Meyer, Erkan Topkan, Ross C. Donehower, Joanne Chiu, T. Tsuda, P. Jimenez Fonseca, U. Selek, N. Musha, B. Liu, A. Magnusson, S.C. Sharma, C. Purcell, H. Wong, E. Lucchini, Jean-Marc Phelip, E. Jeon, J. Fujita, Kelly S. Oliner, W. Schelman, W. Mao, S. Hato, A-L Cheng, D.-L. Ou, Tarek Sahmoud, J. Waters, Jorge A. Marrero, David Malka, P. Xavier, M. Haibo, S. Takiguchi, Q. Pan, S. Ohkawa, J. Kizaki, I.P. Le, A. Roveta, D.H. Koo, H.J. Kim, H. Choi, T. Göhler, A. Gelibter, C. Borg, X. Qiang, Masaya Suenaga, Ozan Cem Guler, Niall C. Tebbutt, M. Emi, S. Ota, N. Nagata, S. Iwasa, Mira Ayadi, K. Matsuo, Henk M.W. Verheul, Christoph C. Zielinski, S. Choo, M.W. Büchler, René Adam, M. Pistelli, J.A. Gonzalez, Charles S. Fuchs, G. Vallati, G. Pentheroudakis, S. Tokunaga, U. Demirci, Lin Shen, B. Heyd, X. Zhou, T. Ioka, Toshiyoshi Fujiwara, O. Testori, Y.S. Park, A. Allen, Rakesh Kapoor, Bruno Daniele, T. Hirai, Z. Lakkis, I.B. Tan, Y-K Kang, S.A. Aledavood, N. Reynoso, F. Serejo, Sergio Ricci, Jennifer Gansert, M. Miyagi, S. Santi, A. Parthan, A C Wotherspoon, L. Chaigneau, Sumera Rizvi, M.G. Fabrini, Véronique Vendrely, W. Su, V. Shalenkov, L. Tu, G. Numico, Joon Seong Park, J.H. Kim, Hope E. Uronis, Mustafa Benekli, I. Aoyama, M. Gauthier, S. Lazzarelli, W. Liguigli, N. Atsushi, H. Kastrissios, J. Thaler, Z. Zou, T. Tsujinaka, S. Barbero, F. Fiteni, Irene Kührer, Aldo Scarpa, C. Desauw, J.F. Seitz, Takahiro Horimatsu, R. von Roemeling, T. Yamamoto, H.R. Alexander, Timothy Iveson, F.M. Negri, Ermek Tangsakar, Pascal Artru, Jia Zhang, S. Lee, Satoshi Morita, E. Garralda, M. Moore, J. Lee, M. Seilanian Tousi, J. Gornet, Yasuhiro Kodera, Werner Scheithauer, L. Marthey, D. Atanackovic, P. Zhao, D. Wang, I. Davidenko, T.S. Waddell, S. Takeda, N. Fan, R. Kawabata, M. Raponi, Giampaolo Tortora, M. Ogasawara, B. Gruenberger, Guido Gerken, Ivan Borbath, N. Fuse, Denis Smith, Emmanuel Mitry, Vikki Tang, I. Stilidi, Min-Hee Ryu, Tulay Akman, C. Saffery, Roopinder Gillmore, K. Ligier, R. Coriat, T. Namikawa, L. Sun, R. Xu, Gary Middleton, W. Tröger, F. Keil, Bruno Chauffert, K. Achilles, David Cunningham, H. Raies, M.Y. Teo, Y. Hamai, S. Tjulandin, I. Boukovinas, J. Kazakin, J. Beebe-Dimmer, Pippa Corrie, J.A. Ortega, A. Cueff, C. Costa, V. Da Prat, Y. Tanaka, F. Rivera, K. Hashimoto, Tianshu Liu, K. Kato, J.C. Plaza, G. Fountzilas, N. Chaiet, Byung Sik Kim, K. Ueda, Pierre Laurent-Puig, Y.-C. Cheng, Mendel Jansen, T. Salman, C. Papandreou, T. Carothers, H. Van Vlierberghe, M. Rios, S. Barni, Y. Arai, G. Afc, Julia Klech, Bryan C. Fuchs, S.T. Fan, A. Falcone, J-B. Bachet, Y. Fujiwara, S. Navruzov, Fumihiko Kanai, H. Shiah, J. Xia, N. Xu, X. Garcia del Muro, M. Lucchesi, Jae Yong Cho, A. Leon, W. Jin, C. Eng, A.U. Yilmaz, L.-T. Chen, Laurent Bedenne, I. Vynnychenko, Brian Schwartz, J. Ruíz Vozmediano, Toshihiro Tanaka, Jinwan Wang, F. Musante, C. Belli, K. Imanaka, W. Fang, J.P. Fusco, S. Gupta, Daniel H. Palmer, M. Ninomiya, N. Ryuge, M. Djuraev, B. Benzidane, H. Yasui, P.G. Betta, M. Sanon, J. Mizusawa, M. Hou, H. Pan, Y. Osaki, Darren Sigal, E. Schott, J. Rodriguez, E. Wöll, S. Nakamori, Anthony F. Shields, Yasuo Ohashi, M. Raikou, M.W. Bennett, Zhilong Zhao, G. Colucci, R. Stauber, M. Nakamura, T. Nguyen, Xin Li, C. Greco, K. Hanazaki, C. Mao, Y. Matsumura, S. Emoto, Maristella Bianconi, Yoon Ho Ko, E. Trusilova, J. Coombs, H. Iwase, V.A. Gorbunova, M. Lencioni, M. Svrcek, S. Leo, Mahmoud Ellithy, N. Silvestris, Y.H. Min, N. Urata, A. Sainato, K. Yoshimura, U. Boggi, D.C. Huang, T. Tsuzuki, S.H. Hong, K. Ikeda, Mohammed Shaker, Olivier Turrini, Arsene-Bienvenu Loembe, Jaffer A. Ajani, G. Pelletier, Stefano Cascinu, F. Bergamo, I.T. Unek, T. Di Palma, H. Li, Maria Lamar, H. Inagaki, M. Ratti, M. Iida, F. Pons Valladares, S. Caponi, A. Sa-Cunha, A. Passardi, J. Wei, S. Azevedo, W. Wang, S. Luelmo, M. Brighenti, A. Mezlini, Y. Zheng, S. Reddy, M. Milella, S. Nered, D. Li, Carsten Bokemeyer, Manabu Muto, C. Krüger, X.J. Sun, T. Ueno, M. Harrison, F. Cognetti, Y. Kida, M. Kobayashi, S. Akamaru, G. Leonard, Y. Inaba, A. Jayaram, Özgür Ekinci, Y. Bai, F. Subtil, Wasaburo Koizumi, M.A. Fridrik, Pierre Michel, R.C. Turkington, D. Galun, N. De Lio, A. Le Cesne, L. Toppo, Thorsten Füreder, R. Poli, V. Moiseyenko, Jean-Louis Jouve, Y. Lu, A. Babaev, N. Okumura, Isamu Okamoto, G.C. Ruiz, I. Oztop, T. Isobe, W. Fischbach, A. Takashima, Alessandro Bittoni, Y-C Chang, K. Yamaguchi, Vincent J. Picozzi, K. Muro, M. Sebagh, Y. Shindo, S. Beghelli, M. Skoblar Vidmar, Alessandra Mandolesi, M. Reni, K. Nishikawa, Marine Gilabert, Y. Maeda, Francesco Massari, E.B. Ruiz, K. Pan, H. Lou, H.S. Won, C. Diaz, J.P. O'Brien, Shuichi Kaneko, C. Gomez-Martin, J. Sgouros, A. Funakoshi, W. Figg, F. Chai, M.S. Pino, X. Pivot, K. Anvari, J. Turnes, M. Reif, F. Lopez-Rios, W. Cheung, David P. Ryan, M. Oka, I. Varthalitis, A. Deptala, Masatoshi Kudo, F. Romeder, J. Qian, J. Hihara, T. Shibata, T. Yamatsuji, B. Gonzalez-Astorga, B. Allani, Y. Tsuji, J. Liu, Thomas Yau, S. Lim, F. Grosso, Y.D. Zheng, R. Passalacqua, J. Chen, I. Sperduti, H. C. Kwon, C. Cappelli, C. Guettier, O. Nematov, Lanjun Zhou, C. Caparello, F. Bonnetain, R. Ferrara, A. Nashimoto, A. Schumann, Richard Martin Bambury, C. Mazzara, T. Aramaki, B. Saracino, M. Takagi, G. Di Lucca, Philip A. Philip, A. Aloui, Philippe Bachellier, N. Hirabayashi, S. Osanto, S. So, N. Fukushima, K.-H. Yeh, Y. Aoki, M. Baretti, Y-L. Gong, Koichiro Yamakado, C.-H. Hsu, R. Buder, D.G. Power, H. Matsumoto, Chiara Costantini, Y. Xu, G. Tomasello, A. Lopez Pousa, D.K. Lee, F. Di Fiore, O. Polat, K. Suzuki, L. Arbea, R. McDermott, S.-H. Kim, E. Toure, O. Bouche, A. Zaanan, T. Hamaguchi, Mary Geitona, M.H. Tan, M. Antonietti, Italo Bearzi, Juan W. Valle, D. Castaing, H. Shoji, Eylem Pınar Eser, Mario Scartozzi, R. Abdul Rahman, Yukinori Kurokawa, F. Pardo, T. Sasatomi, Y. Kimura, Suguru Yamada, K. El Ouagari, F. Mosca, Yuichiro Doki, A.O. Singh, Goro Nakayama, Lara Lipton, H.J. An, B. Kato, Y. Ezoe, M. Salem, Samantha Bersani, B. Paule, O.E. Carranza Rua, Gabriela Kornek, L. Gray, S. Tamura, J.-F. Blanc, and L. Ginocchi
- Subjects
medicine.medical_specialty ,Gastrointestinal tumors ,Performance status ,business.industry ,Hematology ,Severe hypoxia ,Neutropenia ,medicine.disease ,Rash ,Gastroenterology ,Discontinuation ,Non colorectal ,Oncology ,Internal medicine ,Toxicity ,medicine ,medicine.symptom ,business - Abstract
Background TH-302 is a hypoxia targeted prodrug with a hypoxia-triggered 2-nitroimidazole component designed to release the DNA alkylator, bromo-isophosphoramide mustard (Br-IPM), when reduced in severe hypoxia. A randomized Phase 2B study (NCT01144455) was conducted to assess the benefit of G + T to standard dose G as first-line therapy of PAC. Materials and methods An open-label multi-center study of two dose levels of TH-302 (240 mg/m2 or 340 mg/m2) in combination with G versus G alone (randomized 1:1:1). G (1000 mg/m2) and T were administered IV over 30-60 minutes on Days 1, 8 and 15 of a 28-day cycle. Patients on the G could crossover after progression and be randomized to a G + T arm. The primary efficacy endpoint was a comparison of progression-free survival (PFS) between the combination arms and G alone (80% power to detect 50% improvement in PFS with one-sided alpha of 10%). Summary PFS outcome has previously been reported; more detailed PFS as well as the initial overall survival (OS) data are presented. Results 214 pts were treated; 164 (77%) Stage IV and 50 (23%) Stage IIIB. Median age 65 (range 29-86); 126 M/88 F; 40% ECOG 0/60% ECOG 1. Receiving 6 or more cycles: 32% G; 45% G + T240; 55% G + T340. Median PFS was 3.6 mo in G vs 5.5 mo in G + T240 (p = 0.031) and 6.0 mo in G + T340 (p = 0.008). Poorer prognostic factors (older age, poorer performance status, reduced albumin) were associated with larger treatment effect. Median OS was 7.0 mo in G vs 9.0 in G + T240 and 9.5 mo in G + T340. RECIST best response was 12% in G vs 17% in G + T240 and 27% in G + T340. CA19-9 decreases were significantly greater G + T340. A >50% CA19-9 decrease was 52% with G vs 50% with G + T240 and 70% with G + T340. AEs leading to discontinuation were: 16% G, 15% G + T240 and 11% G + T340. Rash (45% in G + T340) and stomatitis (36% in G + T340) were greater in combination, 4 pts Grade 3 rash. Grd 3/4 thrombocytopenia were 11% G, 39% G + T240 and 59% G + T340 and Grd 3/4 neutropenia were 28% G, 56% G + T240 and 59% G + T340. Conclusions The combination of G plus TH-302 improved the efficacy of G. A TH-302 dose of 340 mg2 was identified for future studies. Skin and mucosal toxicity and myelosuppression were the most common TH-302 related AEs with no increase in treatment discontinuation. Disclosure All authors have declared no conflicts of interest.
- Published
- 2012
19. Dynamical correlation techniques in eutrophication phenomena analysis
- Author
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Laurita Boni, Roberto Guidorzi, S. Beghelli, F. Terragni, and Umberto Soverini
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Hydrology ,Correlation ,Mathematical optimization ,Computer science ,A priori and a posteriori ,Relevance (information retrieval) ,Algebraic number ,Eutrophication ,Selection (genetic algorithm) - Abstract
An important problem to be solved before trying to model such complex phenomena as eutrophication is the selection of model inputs. The relevance of this step is due to the necessity of obtaining models whose complexity compares favourably with the number of samples in the sequences used for their determination; moreover, a knowledge of the main factors affecting the evolution of eutrophication is, per se, very important. Most approaches described in the literature rely on assumptions which are made a priori or on the results of algebraic correlation analyses performed on the data (...)
- Published
- 1992
20. Micellar/polymer waterflooding processes: An identification approach
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S. Beghelli, Roberto Guidorzi, G.A. Gottardi, and Umberto Soverini
- Subjects
chemistry.chemical_classification ,Identification (information) ,Work (thermodynamics) ,Fuel Technology ,chemistry ,Computer science ,Polymer ,Biochemical engineering ,Geotechnical Engineering and Engineering Geology - Abstract
The purpose of this work is to show models obtained by identification procedures can be used to predict, with satisfactory accuracy, the dynamic behavior of polymer waterflooding processes. The usual approach to forecast the behavior of these processes relies on modeling techniques to obtain compositional models that are intrinsically realistic but difficult to use.
- Published
- 1989
21. Structural identification of muitivariabie systems by the eigenvector method
- Author
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S. Beghelli, Roberto Guidorzi, and Umberto Soverini
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Sequence ,Basis (linear algebra) ,Linear system ,System identification ,Structural theory ,Computer Science Applications ,chemistry.chemical_compound ,chemistry ,Control and Systems Engineering ,Control theory ,Generalized eigenvector ,Canonical model ,Algorithm ,Eigenvalues and eigenvectors ,Mathematics - Abstract
The structural identification of linear muitivariabie systems can be performed on the basis of the predicted percentage of reconstruction errors (PPCRE) associated to a sequence of increasing-complexity models. This paper extends some previous results describing the properties of the PPCRE for canonical models whose parameters are estimated by means of the eigenvector method.
- Published
- 1987
22. A new input-output canonical form for multivariable systems
- Author
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S. Beghelli and Roberto Guidorzi
- Subjects
Discrete mathematics ,Input/output ,Algebra ,Polynomial ,Transformation (function) ,Control and Systems Engineering ,Multivariable calculus ,ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION ,Canonical form ,Electrical and Electronic Engineering ,Differential (infinitesimal) ,Computer Science Applications ,Mathematics - Abstract
A new canonical form for input-output difference (differential) descriptions for linear multivariable systems is proposed. A complete algorithm for the transformation of generical input-output descriptions to the canonical form is also described. This algorithm is based on elementary row operations performed on polynomial matrices.
- Published
- 1976
23. Input-Output Multistructural Models in Multivariable Systems Identification
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S. Beghelli and Roberto Guidorzi
- Subjects
Input/output ,Identification (information) ,Control theory ,Estimation theory ,Multivariable calculus ,Linear system ,Applied mathematics ,Realization (systems) ,Mathematics - Abstract
In this paper a class of input-output multistructural (overlapping) models is developed starting from the usual state-space ones. The algebraical link between state-space and input-output multistructural models is then investigated. The problems arising in the use of input-output multistructural models in the identification of multivariable systems are finally discussed and a procedure based on the use of these models proposed.
- Published
- 1982
24. Transformations between input-output multistructural models : properties and applications
- Author
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Roberto Guidorzi and S. Beghelli
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Discrete mathematics ,Input/output ,Algebra ,Multivariate statistics ,Identification (information) ,Transformation (function) ,Control and Systems Engineering ,Canonical form ,Computer Science Applications ,Mathematics - Abstract
Some general properties of recently introduced inputs-output multistructural (overlapping) models are analysed and compared with the properties of the well-known input-output canonical forms. Algorithms for the transformation of a generic input-output model to a multi-structural one and for transformation between ‘ adjacent’ multistructural models are then proposed. The use of the models in on-line multivariate identification is also discussed and a numerical example given.
- Published
- 1983
25. Identification of an Ethane-Ethylene Distillation Column
- Author
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R. Rossi, M. Di Martino, L. Pacinotti, S. Beghelli, A. Andreoni, and Roberto Guidorzi
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Engineering ,Work (thermodynamics) ,Identification (information) ,Basis (linear algebra) ,business.industry ,Control theory ,Fractionating column ,Scientific method ,Linear system ,Chemical industry ,business ,Process engineering - Abstract
The identification of complex industrial processes on the only basis of input-output sequences obtained during normal operating conditions plays, at present, an important role-A distillation column, for instance, can work in many different conditions (feed flow, composition, temperature etc.) also if it has been designed wit|h reference to a standard situation. This requires the presence of a controller based on an accurate previsional model of the process. This paper describes the construction of a mathematical model for a ethane-ethylene distillation column by identification techniques .
- Published
- 1980
26. A Simulation Procedure For Induction Motors Driven By Pwm Inverters
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C. Tassoni, S. Beghelli, and R.P. Guidorz
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Physics ,Amplitude ,Hardware and Architecture ,Mechanics of Materials ,Control theory ,Modeling and Simulation ,Computation ,Harmonic ,Electrical and Electronic Engineering ,Current wave ,Software ,Induction motor ,Pulse-width modulation - Abstract
A simulation procedure for the computation of current wave forms in a system composed by a three-phase in verter driving an induction motor is proposed.The amplitude of the fundamental harmonic of ...
- Published
- 1986
27. Input selection and pole assignment for linear dynamical systems
- Author
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Gloria Capitani, S. Beghelli, and Gianni Bertoni
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Matrix (mathematics) ,ComputingMethodologies_PATTERNRECOGNITION ,Mechanics of Materials ,Control theory ,Mechanical Engineering ,ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION ,Hardware_INTEGRATEDCIRCUITS ,MathematicsofComputing_NUMERICALANALYSIS ,Hardware_PERFORMANCEANDRELIABILITY ,Condensed Matter Physics ,Input selection ,Mathematics ,Linear dynamical system - Abstract
It is well known that the dynamics of a system depends not only on pole configuration but also on the particuiar choice of the feedback matrix assigning the desired poles to the given plant. The aim of this paper is to introduce both a method for pole assignment and a criterion for classifying the systems having the same pole configuration and obtained by such a method.
- Published
- 1973
28. A simple generalization of Luenberger method for pole assignment
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G. Bertoni, S. Beghelli, and G. Capitani
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Controllability ,Nonlinear system ,Generalization ,Simple (abstract algebra) ,Control theory ,Control system ,Full state feedback ,Electrical and Electronic Engineering ,Nonlinear control ,Sliding mode control ,Mathematics ,NO - Abstract
A simple generalization of the Luenberger method for pole assignment is introduced which allows one to obtain a greater number of feedback laws giving both the desired poles to the system and the choice of a larger number of solutions to the designer.
- Published
- 1974
29. Dynamical System Identification from Noisy Data
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S. Beghelli, Roberto Guidorzi, and Umberto Soverini
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Set (abstract data type) ,Parameter identification problem ,Mathematical optimization ,Identification (information) ,Basis (linear algebra) ,System identification ,White noise ,Algebraic number ,Dynamical system ,Algorithm ,Mathematics - Abstract
Some classical schemes in algebraic system identification are first recalled and compared. It is shown that, in most cases, the solution is obtained thanks to additional assumptions which are not deducible from the available data. The identification problem for linear dynamic systems is then solved on the basis of the Frisch scheme, in order to obtain the whole set of models compatible with noisy input-output sequences. The main result here proposed concerns the unicity of the solution when the data are affected by additive white noise.
- Published
- 1989
30. Comments on 'Observer Design for a Linear Functional of the State Vector'
- Author
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M. Tibaldi, G. Bertoni, Gloria Capitani, and S. Beghelli
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Observer (quantum physics) ,Mathematical analysis ,Linear system ,State vector ,System of linear equations ,Computer Science Applications ,NO ,Control and Systems Engineering ,Control theory ,Linear form ,Observability ,Linear independence ,Matrix analysis ,Electrical and Electronic Engineering ,Mathematics - Published
- 1974
31. Analysis and simulation of a mono-phase variable-speed actuator driven by a D-modulation inverter
- Author
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S. Beghelli, C. Tassoni, and Roberto Guidorzi
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Engineering ,business.industry ,Power (physics) ,Delta modulation ,Hardware_GENERAL ,Control theory ,Modulation ,Electronic engineering ,Inverter ,Actuator ,business ,Frequency modulation ,Pulse-width modulation ,Voltage - Abstract
A promising approach regarding variable-speed fractional horse power drives consists in the use of a capacitor-run motor driven by D-modulation PWM inverters. A drive of this kind is not only cheap and reliable but allows also an easy implementation of the required linear relationship between the drive voltage frequency and amplitude. This paper proposes a simulation procedure for such systems that overcomes the problems posed by the complex shape of the resulting drive voltage.
- Published
- 1986
32. Ordered sets of Kronecker invariants for multivariable systems
- Author
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S. Beghelli and Roberto Guidorzi
- Subjects
Discrete mathematics ,symbols.namesake ,Pure mathematics ,Simple (abstract algebra) ,Multivariable calculus ,Kronecker delta ,ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION ,Ordered set ,symbols ,Mathematics - Abstract
Ordered sets of Kronecker invariants for linear multivariable systems are often considered in the literature to solve analysis and synthesis problems. This paper shows how to obtain ordered sets of Kronecker invariants by means of simple permutations in the input (output) vector components.
- Published
- 1978
33. Identification of phosphorus dynamics in Kootenay lake, Canada
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S. Beghelli, Efraim Halfon, Roberto Guidorzi, and F. Terragni
- Subjects
Physical model ,Ecology ,Ecological Modeling ,Phosphorus ,chemistry.chemical_element ,Soil science ,Model parameters ,Phosphorus cycling ,NO ,Identification (information) ,chemistry ,Environmental science ,Identifiability analysis ,Phosphorus cycle - Abstract
This paper regards the use of system theory techniques in the development of models describing the phosphorus kinetics in fresh waters with the objective to understand the observed kinetics better in order to obtain indications on the design of future field experiments. Identification techniques have been applied to the data regarding 49 experiments on phosphorus cycling in Kootenay Lake, British Columbia, Canada, in order to determine the minimal number of compartments required to model the phosphorus dynamical behaviour. Canonical state-space models have then been identified both from raw and smoothed data. The parameters in these models do not have a direct physical meaning; they can, however, be identified from the measured data and the obtained models describe with good accuracy the considered kinetics. The identification of physical models has also been performed; in this case, however, only two compartments have been considered according to the results of the identifiability analysis of the complete model parameters. Results give further insight on the phosphorus processes and show that the complete phosphorus cycle through the four compartments described by Lean can be identified only when phosphorus cycles rapidly through the system.
- Published
- 1982
34. Identification and fault diagnosis of nonlinear dynamic processes using hybrid models
- Author
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S. Beghelli, Cesare Fantuzzi, and Silvio Simani
- Subjects
Engineering ,noise ,Fault diagnosis ,Hybrid systems ,Multiple models ,Noise rejection ,Nonlinear identification ,Noise (signal processing) ,business.industry ,Process (computing) ,Control engineering ,fault diagnosis ,process control ,Fault (power engineering) ,Fault detection and isolation ,Nonlinear system ,Control theory ,Hybrid system ,Process control ,identification ,nonlinear dynamical systems ,Affine transformation ,business ,fermentation - Abstract
This work addresses a novel approach for fault diagnosis of industrial processes using hybrid models. A nonlinear dynamic process can, in fact, be described as a composition of different affine sub-models selected according to the process operating conditions. This paper deals with the identification of hybrid model parameters through input-output data affected by additive noise. The fault detection scheme adopted to generate residuals uses the estimated hybrid model. In order to show the effectiveness of the developed technique, the results obtained in the fault diagnosis of a real industrial plant are reported.
35. A frequential approach for errors-in-variables models
- Author
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S. Beghelli, Paolo Castaldi, and U. Soverini
- Subjects
Identification (information) ,Control theory ,Linear system ,Process (computing) ,Errors-in-variables models ,Algorithm ,Transfer function ,Mathematics - Abstract
This paper presents an identification method for errors-in-variables systems with input-output measurements affected by white and mutually correlated noises. The procedure, based on a frequency-domain approach, allows to uniquely determine both the characteristics of the noises affecting the data and the transfer function of the process under investigation. A numerical example is reported in order to illustrate the suggested technique and to verify its numerical implementation.
36. Non-linear dynamic system modelling in noisy environment using multiple model approach
- Author
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S. Beghelli, Cesare Fantuzzi, Riccardo Rovatti, and Silvio Simani
- Subjects
noise ,Sequence ,optimisation ,Computer science ,multiple model approach ,Fuzzy modeling ,non linear modeling ,Constrained optimization ,Process (computing) ,modelling ,Identification (information) ,Nonlinear system ,local affine models ,local model identification ,nonlinear dynamical systems ,nonlinear dynamic system modelling ,Control theory ,Affine transformation ,Noise (video) ,Algorithm - Abstract
A nonlinear dynamic process can be described as a composition of several local affine models selected according to the process operating conditions. Such a compound system requires the identification of the local models from data. This work addresses a method for the identification and the optimal selection of the local affine models from a sequence of noisy measurements acquired from the process. The developed technique is applied to the identification of a simulated model.
37. Parameters identification for piecewise linear models with weakly varying noise
- Author
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Riccardo Rovatti, Cesare Fantuzzi, S. Beghelli, and Silvio Simani
- Subjects
piecewise linear models ,Estimation theory ,Stochastic resonance ,Linear system ,System identification ,noisy data ,piecewise linear techniques ,Identification (information) ,Noise ,Control theory ,parameter estimation ,weakly varying noise ,Applied mathematics ,Noisy data ,Piecewise linear model ,Nonlinear Control ,Mathematics - Abstract
This paper concerns the identification of piecewise linear models from noisy data. The identification procedure is formulated within the Frisch scheme (1934), a technique well established for linear systems.
38. Robust fault diagnosis of dynamic processes using parametric identification with eigenstructure assignment approach
- Author
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Cesare Fantuzzi, Silvio Simani, and S. Beghelli
- Subjects
Fuzzy models ,Engineering ,observers ,Observational error ,business.industry ,Estimation theory ,Process (computing) ,actuators ,discrete time systems ,eigenstructure assignment fault diagnosis ,gas turbines ,parameter estimation ,sensors ,state-space methods ,Fault (power engineering) ,Term (time) ,Control theory ,Component (UML) ,nonlinear models ,Actuator ,business ,Realization (systems) - Abstract
Presents some results concerning robust fault diagnosis of dynamic processes using a parametric identification technique. The first step of the considered approach estimates an equation error model by means of the input-output data acquired from the monitored system. In particular, the equation error term of the model takes into account disturbances, non-linear and time-variant terms, measurement errors, etc. The next step of the method requires a state-space realization of the input-output equation error model which allows us to define an equivalent disturbance distribution matrix related to the error term. Therefore, the eigenstructure assignment results for robust fault diagnosis can be successfully applied. The proposed procedure has been tested by means of a industrial process simulator. In such a manner, sensor, component and actuator faults can be simulated on an single shaft gas turbine. Results from this simulator are also reported.
39. Nonlinear algebraic system identification via piecewise affine models in stochastic environment
- Author
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Silvio Simani, Riccardo Rovatti, Cesare Fantuzzi, and S. Beghelli
- Subjects
Mathematical optimization ,algebra ,identification ,nonlinear systems ,piecewise linear techniques ,stochastic processes ,System identification ,Nonlinear control ,Affine shape adaptation ,Parameter identification problem ,Piecewise linear function ,Nonlinear system ,Affine combination ,Applied mathematics ,Affine transformation ,Nonlinear Control ,Mathematics - Abstract
The paper discusses the issue of nonlinear system modelling by means of continuous piecewise affine models identified from noisy data. Based on the assumption that a piecewise affine system can approximate with arbitrary degree of accuracy any nonlinear relation, the identification problem is formulated within the Frisch scheme (R. Frisch, 1934). This identification procedure is well established for affine systems and here modified and improved to be applied to piecewise affine system identification. The simulation results of a test case (the identification of a continuous piecewise affine function) shows that an effective identification method has been achieved.
40. Addendum to 'A new input-output canonical form for multivariable systems'
- Author
-
Roberto Guidorzi and S. Beghelli
- Subjects
Input/output ,Algebra ,Control and Systems Engineering ,Control theory ,Multivariable calculus ,MIMO ,Addendum ,Canonical form ,Electrical and Electronic Engineering ,Computer Science Applications ,Mathematics - Published
- 1978
41. Residual Generator Computation for fault detection of a general aviation aircraft
- Author
-
Marcello Bonfe, Silvio Simani, Walter Geri, P. Csataldi, AA. VV., M. BONFE', S. BEGHELLI, P. CASTALDI, and S. SIMANI
- Subjects
Engineering ,polynomial methods ,business.industry ,Computation ,Control engineering ,aerospace application ,Residual ,Fault detection and isolation ,General aviation ,Filter design ,Robustness (computer science) ,Control theory ,filter design ,flight control ,Residual generator ,Actuator ,business ,Physics::Atmospheric and Oceanic Physics - Abstract
This paper addresses the problem of the detection and isolation of actuator faults on a general aviation aircraft, characterised by a nonlinear model, in the presence of wind gust disturbances. In particular, this work investigates the design of residual generators in order to realise complete diagnosis schemes when additive faults are present. The use of a canonical input-output polynomial description for the linearised model of the aircraft allows to compute in a straightforward way minimal order residual generators. These tools lead to dynamic filters that can guarantee both disturbance signal decoupling and robustness properties with respect to linearisation errors. The results obtained in the simulation of the faulty behaviour of a Piper PA30 are finally reported.
- Published
- 2004
42. Fibronectin Extra Domains tune cellular responses and confer topographically distinct features to fibril networks.
- Author
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Efthymiou G, Radwanska A, Grapa AI, Beghelli-de la Forest Divonne S, Grall D, Schaub S, Hattab M, Pisano S, Poet M, Pisani DF, Counillon L, Descombes X, Blanc-Féraud L, and Van Obberghen-Schilling E
- Subjects
- Cells, Cultured, Extracellular Matrix metabolism, Fibroblasts metabolism, Humans, Alternative Splicing, Fibronectins genetics, Fibronectins metabolism
- Abstract
Cellular fibronectin (FN; also known as FN1) variants harboring one or two alternatively spliced so-called extra domains (EDB and EDA) play a central bioregulatory role during development, repair processes and fibrosis. Yet, how the extra domains impact fibrillar assembly and function of the molecule remains unclear. Leveraging a unique biological toolset and image analysis pipeline for direct comparison of the variants, we demonstrate that the presence of one or both extra domains impacts FN assembly, function and physical properties of the matrix. When presented to FN-null fibroblasts, extra domain-containing variants differentially regulate pH homeostasis, survival and TGF-β signaling by tuning the magnitude of cellular responses, rather than triggering independent molecular switches. Numerical analyses of fiber topologies highlight significant differences in variant-specific structural features and provide a first step for the development of a generative model of FN networks to unravel assembly mechanisms and investigate the physical and functional versatility of extracellular matrix landscapes.This article has an associated First Person interview with the first author of the paper., Competing Interests: Competing interestsThe authors declare no competing or financial interests., (© 2021. Published by The Company of Biologists Ltd.)
- Published
- 2021
- Full Text
- View/download PDF
43. Tenascin-C Orchestrates an Immune-Suppressive Tumor Microenvironment in Oral Squamous Cell Carcinoma.
- Author
-
Spenlé C, Loustau T, Murdamoothoo D, Erne W, Beghelli-de la Forest Divonne S, Veber R, Petti L, Bourdely P, Mörgelin M, Brauchle EM, Cremel G, Randrianarisoa V, Camara A, Rekima S, Schaub S, Nouhen K, Imhof T, Hansen U, Paul N, Carapito R, Pythoud N, Hirschler A, Carapito C, Dumortier H, Mueller CG, Koch M, Schenke-Layland K, Kon S, Sudaka A, Anjuère F, Van Obberghen-Schilling E, and Orend G
- Subjects
- Animals, Chemokine CCL21 immunology, Humans, Mice, Mice, Inbred C57BL, Mice, Knockout, Mouth Neoplasms pathology, Receptors, CCR7 immunology, Recombinant Proteins pharmacology, T-Lymphocytes, Regulatory immunology, Tenascin pharmacology, Tumor Microenvironment immunology, Mouth Neoplasms immunology, Squamous Cell Carcinoma of Head and Neck immunology, Tenascin immunology
- Abstract
Inherent immune suppression represents a major challenge in the treatment of human cancer. The extracellular matrix molecule tenascin-C promotes cancer by multiple mechanisms, yet the roles of tenascin-C in tumor immunity are incompletely understood. Using a 4NQO-induced oral squamous cell carcinoma (OSCC) model with abundant and absent tenascin-C, we demonstrated that tenascin-C enforced an immune-suppressive lymphoid stroma via CCL21/CCR7 signaling, leading to increased metastatic tumors. Through TLR4, tenascin-C increased expression of CCR7 in CD11c
+ myeloid cells. By inducing CCL21 in lymphatic endothelial cells via integrin α9β1 and binding to CCL21, tenascin-C immobilized CD11c+ cells in the stroma. Inversion of the lymph node-to-tumor CCL21 gradient, recruitment of T regulatory cells, high expression of anti-inflammatory cytokines, and matrisomal components were hallmarks of the tenascin-C-instructed lymphoid stroma. Ablation of tenascin-C or CCR7 blockade inhibited the lymphoid immune-suppressive stromal properties, reducing tumor growth, progression, and metastasis. Thus, targeting CCR7 could be relevant in human head and neck tumors, as high tenascin-C expression and an immune-suppressive stroma correlate to poor patient survival., (©2020 American Association for Cancer Research.)- Published
- 2020
- Full Text
- View/download PDF
44. Transcriptional variations in the wider peritumoral tissue environment of pancreatic cancer.
- Author
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Bauer AS, Nazarov PV, Giese NA, Beghelli S, Heller A, Greenhalf W, Costello E, Muller A, Bier M, Strobel O, Hackert T, Vallar L, Scarpa A, Büchler MW, Neoptolemos JP, Kreis S, and Hoheisel JD
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Carcinoma, Pancreatic Ductal pathology, DNA Methylation, Disease Progression, Female, Follow-Up Studies, Gene Expression Profiling, Gene Regulatory Networks, Humans, Male, Middle Aged, Pancreatic Cyst pathology, Pancreatic Neoplasms pathology, Pancreatitis, Chronic pathology, Prognosis, Survival Rate, Young Adult, Biomarkers, Tumor genetics, Carcinoma, Pancreatic Ductal genetics, Gene Expression Regulation, Neoplastic, Pancreatic Cyst genetics, Pancreatic Neoplasms genetics, Pancreatitis, Chronic genetics, Tumor Microenvironment genetics
- Abstract
Transcriptional profiling was performed on 452 RNA preparations isolated from various types of pancreatic tissue from tumour patients and healthy donors, with a particular focus on peritumoral samples. Pancreatic ductal adenocarcinomas (PDAC) and cystic tumours were most different in these non-tumorous tissues surrounding them, whereas the actual tumours exhibited rather similar transcript patterns. The environment of cystic tumours was transcriptionally nearly identical to normal pancreas tissue. In contrast, the tissue around PDAC behaved a lot like the tumour, indicating some kind of field defect, while showing far less molecular resemblance to both chronic pancreatitis and healthy tissue. This suggests that the major pathogenic difference between cystic and ductal tumours may be due to their cellular environment rather than the few variations between the tumours. Lack of correlation between DNA methylation and transcript levels makes it unlikely that the observed field defect in the peritumoral tissue of PDAC is controlled to a large extent by such epigenetic regulation. Functionally, a strikingly large number of autophagy-related transcripts was changed in both PDAC and its peritumoral tissue, but not in other pancreatic tumours. A transcription signature of 15 autophagy-related genes was established that permits a prognosis of survival with high accuracy and indicates the role of autophagy in tumour biology., (© 2017 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
- Published
- 2018
- Full Text
- View/download PDF
45. Unique DNA methylation signature in HPV-positive head and neck squamous cell carcinomas.
- Author
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Degli Esposti D, Sklias A, Lima SC, Beghelli-de la Forest Divonne S, Cahais V, Fernandez-Jimenez N, Cros MP, Ecsedi S, Cuenin C, Bouaoun L, Byrnes G, Accardi R, Sudaka A, Giordanengo V, Hernandez-Vargas H, Pinto LF, Van Obberghen-Schilling E, and Herceg Z
- Subjects
- Adult, Aged, Aged, 80 and over, Carcinoma, Squamous Cell etiology, Carcinoma, Squamous Cell metabolism, CpG Islands, Female, Gene Expression Regulation, Genome, Human, Head and Neck Neoplasms etiology, Head and Neck Neoplasms metabolism, Humans, Male, Middle Aged, Squamous Cell Carcinoma of Head and Neck, Young Adult, Carcinoma, Squamous Cell genetics, DNA Methylation, Head and Neck Neoplasms genetics, Papillomavirus Infections complications, Promoter Regions, Genetic
- Abstract
Background: Head and neck squamous cell carcinomas (HNSCCs) represent a heterogeneous group of cancers for which human papilloma virus (HPV) infection is an emerging risk factor. Previous studies showed promoter hypermethylation in HPV(+) oropharyngeal cancers, but only few consistent target genes have been so far described, and the evidence of a functional impact on gene expression is still limited., Methods: We performed global and stratified pooled analyses of epigenome-wide data in HNSCCs based on the Illumina HumanMethylation450 bead-array data in order to identify tissue-specific components and common viral epigenetic targets in HPV-associated tumours., Results: We identified novel differentially methylated CpGs and regions associated with viral infection that are independent of the anatomic site. In particular, most hypomethylated regions were characterized by a marked loss of CpG island boundaries, which showed significant correlations with expression of neighbouring genes. Moreover, a subset of only five CpGs in a few hypomethylated regions predicted HPV status with a high level of specificity in different cohorts. Finally, this signature was a better predictor of survival compared with HPV status determined by viral gene expression by RNA sequencing in The Cancer Genome Atlas cohort., Conclusions: We identified a novel epigenetic signature of HPV infection in HNSCCs which is independent of the anatomic site, is functionally correlated with gene expression and may be leveraged for improved stratification of prognosis in HNSCCs.
- Published
- 2017
- Full Text
- View/download PDF
46. Fibronectin-guided migration of carcinoma collectives.
- Author
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Gopal S, Veracini L, Grall D, Butori C, Schaub S, Audebert S, Camoin L, Baudelet E, Radwanska A, Beghelli-de la Forest Divonne S, Violette SM, Weinreb PH, Rekima S, Ilie M, Sudaka A, Hofman P, and Van Obberghen-Schilling E
- Subjects
- Adult, Aged, Aged, 80 and over, Cell Line, Tumor, Cell Movement physiology, Extracellular Matrix, Female, Gene Expression Regulation, Neoplastic, Humans, Integrins genetics, Integrins metabolism, Male, Middle Aged, Squamous Cell Carcinoma of Head and Neck, Carcinoma, Squamous Cell, Cell Movement drug effects, Fibronectins metabolism, Head and Neck Neoplasms
- Abstract
Functional interplay between tumour cells and their neoplastic extracellular matrix plays a decisive role in malignant progression of carcinomas. Here we provide a comprehensive data set of the human HNSCC-associated fibroblast matrisome. Although much attention has been paid to the deposit of collagen, we identify oncofetal fibronectin (FN) as a major and obligate component of the matrix assembled by stromal fibroblasts from head and neck squamous cell carcinomas (HNSCC). FN overexpression in tumours from 435 patients corresponds to an independent unfavourable prognostic indicator. We show that migration of carcinoma collectives on fibrillar FN-rich matrices is achieved through αvβ6 and α9β1 engagement, rather than α5β1. Moreover, αvβ6-driven migration occurs independently of latent TGF-β activation and Smad-dependent signalling in tumour epithelial cells. These results provide insights into the adhesion-dependent events at the tumour-stroma interface that govern the collective mode of migration adopted by carcinoma cells to invade surrounding stroma in HNSCC.
- Published
- 2017
- Full Text
- View/download PDF
47. Elevated Src family kinase activity stabilizes E-cadherin-based junctions and collective movement of head and neck squamous cell carcinomas.
- Author
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Veracini L, Grall D, Schaub S, Beghelli-de la Forest Divonne S, Etienne-Grimaldi MC, Milano G, Bozec A, Babin E, Sudaka A, Thariat J, and Van Obberghen-Schilling E
- Subjects
- Carcinoma, Squamous Cell pathology, Cell Line, Tumor, Head and Neck Neoplasms pathology, Humans, Signal Transduction, Cadherins metabolism, Carcinoma, Squamous Cell genetics, Head and Neck Neoplasms genetics, src-Family Kinases metabolism
- Abstract
EGF receptor (EGFR) overexpression is thought to drive head and neck carcinogenesis however clinical responses to EGFR-targeting agents have been modest and alternate targets are actively sought to improve results. Src family kinases (SFKs), reported to act downstream of EGFR are among the alternative targets for which increased expression or activity in epithelial tumors is commonly associated to the dissolution of E-cadherin-based junctions and acquisition of a mesenchymal-like phenotype. Robust expression of total and activated Src was observed in advanced stage head and neck tumors (N=60) and in head and neck squamous cell carcinoma lines. In cultured cancer cells Src co-localized with E-cadherin in cell-cell junctions and its phosphorylation on Y419 was both constitutive and independent of EGFR activation. Selective inhibition of SFKs with SU6656 delocalized E-cadherin and disrupted cellular junctions without affecting E-cadherin expression and this effect was phenocopied by knockdown of Src or Yes. These findings reveal an EGFR-independent role for SFKs in the maintenance of intercellular junctions, which likely contributes to the cohesive invasion E-cadherin-positive cells in advanced tumors. Further, they highlight the need for a deeper comprehension of molecular pathways that drive collective cell invasion, in absence of mesenchymal transition, in order to combat tumor spread.
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- 2015
- Full Text
- View/download PDF
48. VEGF-A clinical significance in gastric cancers: immunohistochemical analysis of a wide Italian cohort.
- Author
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Lastraioli E, Boni L, Romoli MR, Crescioli S, Taddei A, Beghelli S, Tomezzoli A, Vindigni C, Saragoni L, Messerini L, Bernini M, Bencini L, Giommoni E, Freschi G, Di Costanzo F, Scarpa A, Morgagni P, Farsi M, Roviello F, De Manzoni G, Bechi P, and Arcangeli A
- Subjects
- Adenocarcinoma mortality, Adult, Aged, Cohort Studies, Female, Humans, Immunohistochemistry, Italy, Logistic Models, Male, Middle Aged, Prognosis, Stomach Neoplasms mortality, Adenocarcinoma metabolism, Stomach Neoplasms metabolism, Vascular Endothelial Growth Factor A metabolism
- Abstract
Purpose: The clinical significance of VEGF-A expression in gastric cancer (GC) has been reported with contradicting results. We analyzed the expression and clinical significance of VEGF-A in a wide Italian cohort of GC specimens., Methods: VEGF-A expression was tested by immunohistochemistry in 507 patients with GC of all clinical stages. The impact of VEGF-A on overall survival (OS) was evaluated in conjunction with clinical and pathological parameters., Results: In the Italian cohort we studied VEGF-A was not an independent prognostic factor neither at the univariate nor at multivariate analysis., Conclusions: Although frequently expressed, in our study VEGF-A was not able to discriminate between groups of patients with different risk., (Copyright © 2014 Elsevier Ltd. All rights reserved.)
- Published
- 2014
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49. hERG1 channels regulate VEGF-A secretion in human gastric cancer: clinicopathological correlations and therapeutical implications.
- Author
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Crociani O, Lastraioli E, Boni L, Pillozzi S, Romoli MR, D'Amico M, Stefanini M, Crescioli S, Masi A, Taddei A, Bencini L, Bernini M, Farsi M, Beghelli S, Scarpa A, Messerini L, Tomezzoli A, Vindigni C, Morgagni P, Saragoni L, Giommoni E, Gasperoni S, Di Costanzo F, Roviello F, De Manzoni G, Bechi P, and Arcangeli A
- Subjects
- Adenocarcinoma pathology, Animals, Cell Line, Tumor, ERG1 Potassium Channel, Enzyme-Linked Immunosorbent Assay, Heterografts, Humans, Immunohistochemistry, Mice, Mice, Nude, Real-Time Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction, Stomach Neoplasms pathology, Transfection, Adenocarcinoma metabolism, Ether-A-Go-Go Potassium Channels metabolism, Stomach Neoplasms metabolism, Vascular Endothelial Growth Factor A metabolism
- Abstract
Purpose: hERG1 channels are aberrantly expressed in several types of human cancers, where they affect different aspects of cancer cell behavior. A thorough analysis of the functional role and clinical significance of hERG1 channels in gastric cancer is still lacking., Experimental Design: hERG1 expression was tested in a wide (508 samples) Italian cohort of surgically resected patients with gastric cancer, by immunohistochemistry and real-time quantitative PCR. The functional link between hERG1 and the VEGF-A was studied in different gastric cancer cell lines. The effects of hERG1 and VEGF-A inhibition were evaluated in vivo in xenograft mouse models., Results: hERG1 was positive in 69% of the patients and positivity correlated with Lauren's intestinal type, fundus localization of the tumor, G1-G2 grading, I and II tumor-node-metastasis stage, and VEGF-A expression. hERG1 activity modulated VEGF-A secretion, through an AKT-dependent regulation of the transcriptional activity of the hypoxia inducible factor. Treatment of immunodeficient mice xenografted with human gastric cancer cells, with a combination of hERG1 blockers and anti-VEGF-A antibodies, impaired tumor growth more than single-drug treatments., Conclusion: Our results show that hERG1 (i) is aberrantly expressed in human gastric cancer since its early stages; (ii) drives an intracellular pathway leading to VEGF-A secretion; (iii) can be exploited to identify a gastric cancer patients' group where a combined treatment with antiangiogenic drugs and noncardiotoxic hERG1 inhibitors could be proposed., (©2014 AACR.)
- Published
- 2014
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50. Ezrin expression is an independent prognostic factor in gastro-intestinal cancers.
- Author
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Arumugam P, Partelli S, Coleman SJ, Cataldo I, Beghelli S, Bassi C, Wijesuriya N, Aleong JA, Froeling FE, Scarpa A, and Kocher HM
- Subjects
- Ampulla of Vater, Blotting, Western, Disease-Free Survival, Gastrointestinal Neoplasms pathology, Humans, Immunoprecipitation, Liver Neoplasms secondary, Multivariate Analysis, Prognosis, Common Bile Duct Neoplasms metabolism, Cytoskeletal Proteins metabolism, Gastrointestinal Neoplasms metabolism, Gastrointestinal Neoplasms mortality, Liver Neoplasms metabolism
- Abstract
Background: Ezrin, a member of the ezrin-radixin-moesin (ERM) family of plasma membrane-cytoskeleton linker proteins, has been associated with metastatic behavior., Methodology: Microarrayed pathological tissues of surgically resected colorectal cancer liver metastasis (CRLM) and whole tissue sections of cancer of the ampulla of Vater (CAV) were analyzed to determine ezrin expression levels and correlation with survival. The requirement of ezrin in invasive capability was assessed using in vitro assays., Results: Surgically resected CAV showing a low ezrin score have a better 5-year disease-specific survival than those showing a high ezrin score (P < 0.0001). Similarly, high ezrin expression at the invasive front of CRLM resulted in poor disease-free survival (P = 0.05). Multivariate analysis demonstrated high ezrin expression to be an independent adverse prognostic factor for CAV (hazard ratio (HR) 15.22 (95 % confidence interval (CI) 1.98-117.03), P < 0.01) and CRLM (HR 6.42 (95 % CI 1.01-52.43), P = 0.05), among other clinically relevant variables such as lymph node metastasis (for CAV) and the presence of extrahepatic disease, large hepatic metastases (>5 cm), and close surgical resection margins (<5 mm) (all for CRLM). In vitro experiments indicated that ezrin expression was vital for cellular processes such as adhesive and invasive activity., Significance: High ezrin expression indicates an adverse prognosis in primary CAV and CRLM.
- Published
- 2013
- Full Text
- View/download PDF
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