论文与专著

1. 故障诊断、预测与系统健康管理, 派克‧迈克尔教授及康锐教授, 2010.
   
   
2. Standard Sneak Circuit Analysis and its Application in China Space Reliability Engineering, Xu Hao, Zhang Liang, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
3. Performance Reliability Response Surface Method for Flight Control System of UAV, Huadong Tian,Shengkui Zeng,Yunxia Chen,Yi Pang, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
4. Simulation Research of MIMO Vibration Control in Aircraft Store Test, Wang Guanglu, Xu ming, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
5. Asset Life Prediction Using Multiple Degradation Indicators and Lifetime Data: a Gamma-Based State Space Model Approach, Yifan Zhou, Lin Ma, Joseph Mathew, Hack-Eun Kim, Rodney Wolff, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
6. Man-In-The-Loop Simulation Architecture for System Operation Safety, Jian Jiao, Tingdi Zhao, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
7. Monte Carlo Simulation Modelling of Aircraft Dispatch with Known Faults, Darren Prescott and John Andrews, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
8. Formal Testing Applied in Embedded Software, Li Zhen, Liu Bin, Ma Ning and Yin Yongfeng, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
9. Study on Flue Gas Turbine Fault Diagnosis Technology Based on EMD and VPRS, Wang Hongjun, Wang Hongfeng, Proceedings of ICRMS 2009, July 20-24, 2009.
   
   
10. Structural Health Monitoring of Bridges Using Acoustic Emission Technology, Andy CC Tan, Manindra Kaphle and David Thambiratnam, Proceedings of ICRMS 2009, July 20-24, 2009.
    
    
11. Research on MPA Method in EHM System, Lu Yang, Zhao Yu, Proceedings of ICRMS 2009, July 20-24, 2009.
    
    
12. Research on Security Monitoring and Health Management System of Medium-range UAV, Man Qiang, Ma Sasa, Xia Lianghua,Wang Yabin, Proceedings of ICRMS 2009, July 20-24, 2009.
    
    
13. Validation and Verification Methodologies in A380 Aircraft Reliability Program, Supanee Arthasartsri, He Ren, Proceedings of ICRMS 2009, July 20-24, 2009.
    
    
14. Structural prognosis: What everyone should know!, Hoffman Paul C., Materials Damage Prognosis - Proceedings of a Symposium of the Materials Science and Technology 2004 Conference, p 31-35, 2005.
    
    
15. Importance of physics-based prognosis for improving turbine reliability- RRA 501KB gas turbine blade case study, Koul Ashok K., Tiku Ajay, Bhanot Saurabh, Junkin Brent, Proceedings of the ASME Power Conference 2007, p 185-190, 2007.
    
    
16. Component reliability prognosis in asset management methods, Schwan Michael, Schilling Klaus, Zickler Uwe, Schnettler Armin, Conference on Probabilistic Methods Applied to Power Systems, PMAPS, June 11, 2006 - June 15, 2006.
    
    
17. Fault diagnosis and failure prognosis for engineering systems: A global perspective, Ly Canh, Tom Kwok, Byington Carl S., Patrick Romano, Vachtsevanos George J., 2009 IEEE International Conference on Automation Science and Engineering, CASE 2009,  p 108-115.
    
    
18. Real-time health prognosis and dynamic preventive maintenance policy for equipment under aging Markovian deterioration, Chen Argon, Wu G.S., International Journal of Production Research, v 45, n 15, p 3351-3379, August 2007.
    
    
19. A Bayesian approach to diagnosis and prognosis using built-in test, Sheppard John W, Kaufman Mark A., IEEE Transactions on Instrumentation and Measurement, v 54, n 3, p 1003-1018, June 2005.
    
    
20. Application of probabilistic fracture mechanics to prognosis of aircraft engine components, Enright Michael P., Hudak Stephen J., McClung R. Craig, Millwater, Harry R., AIAA Journal, v 44, n 2, p 311-316, February 2006.
    
    
21. Reliability-based life cycle assessment for civil engineering structures, Schnetg R., Klinzmann C., Hosser D., Proceedings of the 3rd International Conference on Bridge Maintenance, Safety and Management - Bridge Maintenance, Safety, Management, Life-Cycle Performance and Cost, p 363-364, 2006.
    
    
22. Electronics reliability prognosis through material modeling and simulation, Nasser Loren, Curtin Maggie, IEEE Aerospace Conference Proceedings, v 2006, 2006, 2006 IEEE Aerospace Conference.
    
    
23. Turbomachinery condition monitoring and failure prognosis, Pusey Henry C., Sound and Vibration, v 41, n 3, p 10-15, March 2007.
    
    
24. Engine system prognosis, Littles Jr. Jerrol W., Buczek Matthew B., Materials Damage Prognosis - Proceedings of a Symposium of the Materials Science and Technology 2004 Conference, p 23-29, 2005.
    
    
25. Improving component life prediction accuracy and reliabilty through physics based prognosis-a probabilistic turbine blade case study, Koul Ashok K, Tiku Ajay, Bhanot Saurabh, Junkin Brent, Proceedings of the ASME Turbo Expo, v 1, p 533-539, 2008.
    
    
26. Material simulation-based electronic device prognosis, Nasser Loren, Tryon Robert, Dey Animesh, IEEE Aerospace Conference Proceedings, v 2005, 2005.
    
    
27. Reliability and statistical lifetime - Prognosis of motor winding insulation in low-voltage power drive systems, Schemmel Florian, Bauer Konrad, Kaufhold Martin K., IEEE Electrical Insulation Magazine, v 25, n 4, p 6-13, 2009
    
    
28. Further opportunities for development of the method for fire origin prognosis, Lipinskas Donatas, Maciulaitis Romualdas, Journal of Civil Engineering and Management, v 11, n 4, p 299-307, December 2005.
    
    
29. The influence of uncertainty in usage and fatigue damage sensing on turbine engine prognosis, Hudak Jr. S.J., Lanning B.R., Light G.M., Major J.M., Moryl J.A., Enright M.P., McClung R.C., Millwater H.R., Materials Damage Prognosis - Proceedings of a Symposium of the Materials Science and Technology 2004 Conference, p 157-166, 2005.
    
    
30. Development of a data collection of vehicle bus signals for reliability analyses, Leopold T., Pickard K., Bertsche B., Proceedings of the European Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety, v 3, p 2159-2163, 2007.
    
    
31. Prognosis of blade material fatigue using Elman Neural Networks, Yan J.H., Wang P.X., Applied Mechanics and Materials, v 10-12, p 558-562, 2008.
    
    
32. Application of a reliability model to gas turbine design, Engelbert Christian, Nilsson Mikael, Sutor Ariane, Montrone Francesco, Proceedings of the ASME Power Conference, p 209-215, 2008.
    
    
33. Intelligent condition-based prediction of machinery reliability, Heng Aiwina, Tan Andy C.C., Mathew Joseph, Montgomery Neil, Banjevic Dragan, Jardine Andrew K.S., Mechanical Systems and Signal Processing, v 23, n 5, p 1600-1614, July 2009.
    
    
34. Software reliability assessment based on a formal requirements specification, Alipour Hooshmand1, Isazadeh Ayaz, Conference on Human System Interaction, HSI 2008, p 311-316, 2008, 2008.
    
    
35. An approach to reliability-adaptive module reconfiguration, Rakowsky U.K., Proceedings of the European Safety and Reliability Conference 2006, ESREL 2006 - Safety and Reliability for Managing Risk, v 2, p 1689-1694, 2006.
    
    
36. Materials performance in CANDU reactors: The first 30 years and the prognosis for life extension and new designs, Tapping R.L., Journal of Nuclear Materials, v 383, n 1-2, p 1-8, December 15, 2008.
    
    
37. Reliability of high temperature inverters for HEV, Renken F., Ehbauer G., Karrer V., Knorr R., Ramminger S., Seliger N., Wolfgang E., Fourth Power Conversion Conference-NAGOYA, PCC-NAGOYA 2007 - Conference Proceedings, p 563-568, 2007.
    
    
38. Research and application of ATML for aircraft electric power diagnosis and prognostic system, Zhang Li, Yuan Haiwen, Yuan Haibin, Lv Hong, 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI, p 3615-3618, 2007, 2007.
    
    
39. Defining requirements for advanced PHM technologies for optimal reliability centered maintenance, Millar Richard C., IEEE Aerospace Conference Proceedings, 2009.
    
    
40. Uncertain failure thresholds in cumulative damage models, Usynin Alexander, Hines J. Wesley, Urmanov Aleksey, Proceedings - Annual Reliability and Maintainability Symposium, 2008.
    
    
41. An approach to analyze software failure behaviour of automotive telecommunication systems, Braasch A., Specht M., Meyna A., Hübner H.-J., Proceedings of the European Safety and Reliability Conference 2007, ESREL 2007 - Risk, Reliability and Societal Safety, v 1, p 71-75, 2007.
    
    
42. Impedance measurements on lead-acid batteries for state-of-charge, state-of-health and cranking capability prognosis in electric and hybrid electric vehicles, Blanke Holger, Bohlen Oliver, Buller Stephan, De Doncker Rik W., Fricke, Birger, Hammouche Abderrezak, Linzen Dirk, Thele Marc, Sauer Dirk Uwe, Journal of Power Sources, v 144, n 2, p 418-425, July 15, 2005.
    
    
43. Integrated diagnosis and prognosis architecture for fleet vehicles using dynamic case-based reasoning, Saxena Abhinav, Wu Biqing, Vachtsevanos George, Proceedings - IEEE Systems Readiness Technology Conference: Technology - Powering the Next Generation of Test, v 2005, p 96-102, 2005.
    
    
44. Feature extraction for the prognosis of electromechanical faults in electrical machines through the DWT, Antonino-Daviu J.A., Riera-Guasp M., Pineda-Sánchez M., Pons-Llinares, J., Puche-Panadero R., Pérez-Cruz J., International Journal of Computational Intelligence Systems, v 2, n 2, p 158-167, June 2009.
    
    
45. Fluorophore-mediated, fiber-optic, multi-analyte, immunosensing system for rapid diagnosis and prognosis of cardiovascular diseases, Tang Liang, Ren Yongjie, Hong Bin, Kang Kyung A., Journal of Biomedical Optics, v 11, n 2, March/April 2006.
    
    
46. Maintenance management system based on Bayesian networks, Cai Zhiqiang, Sun Shudong, Si Shubin, Yannou Bernard, 2008 International Seminar on Business and Information Management, ISBIM 2008, v 2, p 42-45, 2009.
    
    
47. In-service life consumption estimation in power modules, Musallam Mahera, Johnson C. Mark, Yin Chunyan, Lu Hua, Bailey Chris, 2008 13th International Power Electronics and Motion Control Conference, EPE-PEMC 2008, p 76-83, 2008.
    
    
48. Determination of failure probability distributions of complex systems based on FMEA assessment, Pickard K., Bertsche B., Proceedings of the European Safety and Reliability Conference 2006, ESREL 2006 - Safety and Reliability for Managing Risk, v 2, p 1107-1112, 2006.
    
    
49. Statistical descriptors of the myocardial perfusion in angiographic images, Gil Debora G., Radeva P.R., Rodriguez O.R., Computers in Cardiology, v 33, p 677-680, 2006, 2006 Computers in Cardiology, CIC.
    
    
50. Stochastic models for degradation-based reliability, Kharoufeh Jeffrey P., Cox Steven M., IIE Transactions (Institute of Industrial Engineers), v 37, n 6, p 533-542, June 2005.
    
    
51. Prognostics and health management of electronic packaging, Lall Pradeep, Islam Mohd Nokibul, Rahim M. Kaysar, Suhling Jeffrey C., IEEE Transactions on Components and Packaging Technologies, v 29, n 3, p 666-677, September 2006.
    
    
52. Probability modeling and material microstructure applied to corrosion and fatigue of aluminum and steel alloys, Harlow D. Gary, Wei Robert P., Engineering Fracture Mechanics, v 76, n 5, p 695-708, March 2009.
    
    
53. Advanced models for helicopter gearbox health management, Tryon Robert G., Holmes Richard, Pulikollu Raja V., American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009, p 115-120, 2008.
    
    
54. Advanced maintenance strategy for power plants - Introducing intelligent maintenance system, Wang Ling, Chu Jian, Mao Weijie, Fu Yongfeng, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), v 2, p 7444-7448, 2006.
    
    
55. Comparison and evaluation of PET/CT image registration, Gong Sylvia J., O'Keefe Graeme J., Scott Andrew M., Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 7 VOLS, p 1599-1603, 2005.
    
    
56. Rotating machinery prognostics: State of the art, challenges and opportunities, Heng Aiwina, Zhang Sheng, Tan Andy C.C., Mathew Joseph, Mechanical Systems and Signal Processing, v 23, n 3, p 724-739, April 2009.
    
    
57. System health monitoring and prognostics - A review of current paradigms and practices, Kothamasu Ranganath, Huang Samuel H., Verduin William H., International Journal of Advanced Manufacturing Technology, v 28, n 9, p 1012-1024, April 2006.
    
    
58. An intelligent diagnostic/prognostic framework for automotive electrical systems, Abbas Manzar, Ferri Aldo A., Orchard Marcos E., Vachtsevanos George J., IEEE Intelligent Vehicles Symposium, Proceedings, p 352-357, 2007.
    
    
59. Nonparametric model-based prognostics, Hines J. Wesley, Garvey Dustin R., Proceedings - Annual Reliability and Maintainability Symposium, 2008.
    
    
60. New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index, Takahashi Hiro, Murase Yasuyuki, Kobayashi Takeshi, Honda Hiroyuki, Biochemical Engineering Journal, v 33, n 2, p 100-109, February 2007.
    
    
61. Modeling of chloride concentration effect on reinforcement corrosion, Vorechovská Dita, Podrouzek Jan, Chromá, Markéta; Rovnaní, ková Pavla, Teplý Bretislav, Computer-Aided Civil and Infrastructure Engineering, v 24, n 6, p 446-458, 2009.
    
    
62. Development of the Stroke-unit Discharge Guideline: Choice of assessment instruments for prediction in the subacute phase post-stroke, Meijer Ronald, Limbeek Jacques, De Haan Rob, International Journal of Rehabilitation Research, v 29, n 1, p 1-8, March 2006.
    
    
63. Consolidation of scientific and technological expertise to assess the reliability of reactor pressure vessel embrittlement prediction in particular for the arctic area plant (COBRA), Ballesteros A., Bros J., Debarberis L., Sevini F., Erak D., Gezashchenko S., Kryukov A., Shtrombakh Y., Goloschapov S., Ionov, Pytkin Y., Anikeev Y., Banyuk G., Plusch A.5, Gillemot F., Tatar L.6,Petrosyan V., Nuclear Engineering and Design, v 235, n 2-4, p 411-419, February 2005.
    
    
64. Pattern recognition-based remaining useful life estimation of bottomhole assembly tools, Garvey D.R., Baumann J., Lehr J., Hughes Baker, Hines J.W., SPE/IADC Drilling Conference, Proceedings, v 1, p 82-89, 2009.
    
    
65. An intelligent system for machinery condition monitoring, Wang Wilson, IEEE Transactions on Fuzzy Systems, v 16, n 1, p 110-122, February 2008.
    
    
66. Friction of rubber wheels on wet asphalt surfaces, Bouzid Noamen, Heimann Bodo, 2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis, v 3, p 535-540, 2009.
    
    
67. Important parameters for prediction of power loads - A bottom-up approach utilizing measurements from an automatic meter reading system, Wallin F., Bartusch C., Thorin E., Dahlquist E., IEEE PES PowerAfrica 2007 Conference and Exposition, PowerAfrica, 2007.
    
    
68. Standardization criteria for an ischemic surgical model of acute hepatic failure in pigs, Nieuwoudt Martin, Kunnike Richarda, Smuts Mario, Becker Johan, Stegmann G. Frik, Van der Walt Christelle, Neser Johan, Van der Merwe Schalk, Biomaterials, v 27, n 20, p 3836-3845, July 2006.
    
    
69. Contrast harmonic sonographically guided radio frequency ablation for spontaneous ruptured hepatocellular carcinoma, Tamai Hideyuki, Oka Masashi, Maeda Hiroki, Shingaki Naoki, Kanno Takayuki, Enomoto Shotaro, Shiraki Tatuya, Iguchi Mikitaka, Nakazawa Kazuyuki, Arii Kenji, Yanaoka Kimihiko, Shimizu Yasuhito, Nakata Hiroya, Fujishiro Mitsuhiro, Yahagi Naohisa, Shiina Shuichiro, Ichinose Masao, Journal of Ultrasound in Medicine, v 24, n 7, p 1021-1026, July 2005.
    
    
70. Reliable health monitoring for man-rated spacecraft having long missions, Abensur T., Collection of Technical Papers - 43rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference, v 7, p 7069-7074, 2007.
    
    
71. Fault detection, diagnostics, and prognostics: Software agent solutions, Liu Li, Logan Kevin P., Cartes David A., 2005 IEEE Electric Ship Technologies Symposium, v 2005, p 425-431, 2005.
    
    
72. Flash flood forecasting combining meteorological ensemble forecasts and uncertainty of initial hydrological conditions, PhilippA., Schmitz G.H., KraueT., Schütze N., Cullmann J., Australian Journal of Water Resources, v 12, n 3, p 257-267, 2008.
    
    
73. Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential, Shi Leming, Perkins Roger G, Fang Hong, Tong Weida, Current Opinion in Biotechnology, v 19, n 1, p 10-18, February 2008.
    
    
74. Fault diagnosis in a flight actuator using extended Kalman filter parameter estimator, Jayakumar M., Das Bijan B., International Astronautical Federation - 58th International Astronautical Congress 2007, v 9, p 6123-6133, 2007.
    
    
75. Multiscale analysis of material damage in civil structure using embedded micro sensors, Zhou G.Y., Sun L.Z., Shinozuka M., Li X.C., Proceedings of SPIE - The International Society for Optical Engineering, v 6178, 2006.
    
    
76. An efficient real-time method of analysis for non-coherent fault trees, Remenyte-Prescott Rasa1, Andrews John D., Quality and Reliability Engineering International, v 25, n 2, p 129-150, March 2009.
    
    
77. Evaluation of the influence of hydrides to the stress intensity factor of zirconium -2.5% niobium alloy, Janulionis Remigijus, Dundulis Gintautas, Karalevicius Renatas, Grybenas Albertas, International Conference on Nuclear Engineering, Proceedings, ICONE, v 2, p 675-679, 2008.
    
    
78. Neural-association of microcalcification patterns for their reliable classification in digital mammography, Panchal Rinku, Verma Brijesh, International Journal of Pattern Recognition and Artificial Intelligence, v 20, n 7, p 971-983, November 2006.
    
    
79. Numerical structural monitoring with the uncertainty model fuzzy randomness, Graf Wolfgang, Jenkel Christian, Pannier Stephan, Sickert Jan-Uwe, Steinigen Frank, International Journal of Reliability and Safety, v 3, n 1-3, p 218-234, 2009.
    
    
80. Estimation of fatigue life using ultrasonic sensing: A symbolic dynamics approach, Gupta Shalabh, Ray Asok, Proceedings of the American Control Conference, p 1149-1154, 2007.
    
    
81. Design of a novel intelligent data management tool for health and usage monitoring systems - Software requirements, Parekh Dipesh K., Sinha Arvind K., Forum Proceedings - AHS International, v 3, p 2085-2094, 2008.
    
    
82. Risk analysis and diagnosis modelling for online control of process, Désinde M., Flaus J.M., Ploix S., Proceedings of the European Safety and Reliability Conference 2006, ESREL 2006 - Safety and Reliability for Managing Risk, v 1, p 207-214, 2006.
    
    
83. A multivariate model of sea storms using copulas, De Michele C., Salvadori G., Passoni G., Vezzoli R., Coastal Engineering, v 54, n 10, p 734-751, October 2007.
    
    
84. Indirect multisignal monitoring and diagnosis of drill wear, Jantunen Erkki, VTT Publications, n 590, p 1-80, Indirect multisignal monitoring and diagnosis of drill wear, 2005.
    
    
85. Predicting realizations of daily weather data for climate forecasts using the non-parametric nearest-neighbour re-sampling technique, Bannayan Mohammad, Hoogenboom Gerrit, International Journal of Climatology, v 28, n 10, p 1357-1368, August 2008.
    
    
86. Fault detection, diagnostics, and prognostics: Software agent solutions, Liu Li, Logan Kevin P., Cartes David A., Srivastava Sanjeev K., IEEE Transactions on Vehicular Technology, v 56, n 4 I, p 1613-1622, July 2007.
    
    
87. Bio-inspired adaptive integrated information processing, Abdel-Aty-Zohdy Hoda S., National Aerospace and Electronics Conference, Proceedings of the IEEE, p 114-122, 2008.
    
    
88. Aging airplanes and safety, Rapp Bob, Materials Today, v 8, n 10, p 6, October 2005.
    
    
89. Enabling technologies for the health management of composite structures, Tandon G.P., Kang J.H., Kim R.Y., Rice B.P., Gagliardi N.A., Muench D., Liberson A., Walsh B., Roemer M., International SAMPE Technical Conference, 2007.
    
    
90. High-sensitivity detection of PSA by Time-resolved fluorometry with Europium Chelate, Nahm Kie B., Jeong Jin H., Kim Byoung C., Kim Jae H., Kim Young M., Jeong Dong S., Oh Sang W., Choi Eui Y., Ko Dong S., Proceedings of SPIE - The International Society for Optical Engineering, v 6026, 2006.
    
    
91. Real-time health estimation and automated fault accommodation for propulsion systems, Tang Liang, Roemer Michael J., Kacprzynski Gregory J., Proceedings of the ASME Turbo Expo, v 1, p 729-738, 2007.
    
    
92. Decentralized fault diagnosis system using ICA in a complex chemical process, Renner M., Weber K.E., Schlagner W., Stanislowski M., Schweier K., 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, p 1194-1199, 2008.
    
    
93. Complementing RBI methodology in predicting materials behavior with a sophisticated knowledge management tool, Shi Leming, Perkins Roger G, Fang Hong, Tong Weida, Current Opinion in Biotechnology, v 19, n 1, p 10-18, February 2008.
    
    
94. TMABoost: An integrated system for comprehensive management of tissue microarray data, Demichelis Francesca, Sboner Andrea, Barbareschi Mattia, Dell'Anna Rosanna, IEEE Transactions on Information Technology in Biomedicine, v 10, n 1, p 19-27, January 2006.
    
    
95. Condition based integrity assessment of pipelines, Kumar Amrita, Hannum Robert, Beard Shawn J., Salama Mamdouh M., Durnie Will, Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, v 4, p 141-146, 2007.
    
    
96. A measure of neurobehavioral functioning after coma. Part II: Clinical and scientific implementation, Pape Theresa Louise-Bender, Senno Ricardo G., Guernon Ann, Kelly James P., Journal of Rehabilitation Research and Development, v 42, n 1, p 19-28, January/February 2005.
    
    
97. A hybrid classification system for cancer diagnosis with proteomic bio-markers, Kim Jung-Ja, Kim Young-Ho, Won Yonggwan, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 3808 LNCS, p 167-177, 2005.
    
    
98. Modal analysis as a high sensitive NDT method of compressor cracking blade, Witos M., Proceedings of the 4th European Workshop on Structural Health Monitoring, p 963-970, 2008.
    
    
99. Use of physics-based approach to enhance HUMS prognostic capability, He David, Wu Shenliang, Bechhoefer Eric, Annual Forum Proceedings - AHS International, v 1, p 354-361, 2007.
    
    
100. Investigations in the molecular events of transitional cell carcinoma of the bladder, Kadhim H.S., Abdulamir A.S., Hafidh R.R., Abubaker F., Abbas K.A., American Journal of Biochemistry and Biotechnology, v 4, n 4, p 408-415, 2008.