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Parlos, A. G., K. T. Chong, and A. F. Atiya, "Application of the recurrent multilayer perceptron in modeling complex process dynamics", IEEE Transactions on Neural Networks, vol. 5, pp. 255–266, 1994. Abstract
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Parlos, A., A. Atiya, K. Chong, W. Tsai, and B. Fernandez, "Recurrent multilayer perceptron for nonlinear system identification", International Symposium on Neural Networks, 1991. Abstract
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Parlos, A. G., E. Oufi, J. Muthusami, A. D. Patton, and A. F. Atiya, "Development of an intelligent long-term electric load forecasting system", International Conference on Intelligent Systems Applications to Power Systems, 1996. Abstract
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Parlos, A. G., S. Parthasarathy, and A. F. Atiya, "Neuro-predictive process control using online controller adaptation", American Control Conference, vol. 3, 2000. Abstract
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Parlos, A. G., K. T. Chong, and A. F. Atiya, "Empirical model development and validation with dynamic learning in the recurrent multilayer perception", Nuclear Technology, vol. 105, pp. 271–290, 1994. Abstract
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Parlos, A. G., S. Parthasarathy, and A. F. Atiya, "Neuro-predictive process control using online controller adaptation", IEEE Transactions on Control Systems Technology, vol. 9, pp. 741–755, 2001. Abstract
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Parlos, A. G., K. T. Chong, and A. F. Atiya, "Application of the recurrent multilayer perceptron in modeling complex process dynamics", IEEE Transactions on Neural Networks, vol. 5, pp. 255–266, 1994. Abstract
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Parlos, A. G., C. Ji, T. Parisini, M. Baglietto, A. F. Atiya, and K. Claffy, "Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks", IEEE Transactions on Neural Networks, vol. 16, pp. 1013–1018, 2005. Abstract
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Parlos, A. G., B. Fernandez, A. F. Atiya, J. Muthusami, and W. K. Tsai, "An accelerated learning algorithm for multilayer perceptron networks", IEEE Transactions on Neural Networks, vol. 5, pp. 493–497, 1994. Abstract
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Parlos, A. G., A. Atiya, and K. T. Chong, Empirical modeling of nuclear power plants using neural networks, , 1991. Abstract
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Parlos, A. G., A. F. Atiya, B. Fernandez, W. K. Tsai, and K. T. Chong, Neural node network and model, and method of teaching same, , 1995. Abstract
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Parlos, A. G., S. K. Menon, and A. F. Atiya, "Adaptive state estimation using dynamic recurrent neural networks", International Symposium on Neural Networks, vol. 5, 1999. Abstract
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Parlos, A. G., S. K. Menon, and A. F. Atiya, "State filtering with identified error dynamics and dynamic networks", International Symposium on Neural Networks, vol. 3, 2001. Abstract
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Parlos, A. G., B. Fernandez, A. F. Atiya, J. Muthusami, and W. K. Tsai, "An accelerated learning algorithm for multilayer perceptron networks", IEEE Transactions on Neural Networks, vol. 5, pp. 493–497, 1994. Abstract
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Parlos, A. G., S. K. Menon, and A. F. Atiya, "An Adaptive State Filtering Algorithm for Systems With Partially Known Dynamics", Journal of Dynamic Systems Measurement and Control-transactions of The Asme, vol. 124, 2002. Abstract
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Parlos, A. G., A. F. Atiya, B. Fernandez, W. K. Tsai, and K. T. Chong, Neural node network and model, and method of teaching same, , 1995. Abstract
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Parnas, D., "On the criteria to be used in decomposing systems into modules", Communications of the ACM, vol. 15, pp. 1053–58, 1972. Abstract
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Parplys, A. C., J. I. Seelbach, S. Becker, M. Behr, A. Wrona, C. Jend, W. Y. Mansour, S. A. Joosse, H. - W. Stuerzbecher, H. Pospiech, et al., "High levels of RAD51 perturb DNA replication elongation and cause unscheduled origin firing due to impaired CHK1 activation.", Cell cycle (Georgetown, Tex.), vol. 14, issue 19, pp. 3190-202, 2015 Oct 2. Abstractparplys-2015.pdf

In response to replication stress ATR signaling through CHK1 controls the intra-S checkpoint and is required for the maintenance of genomic integrity. Homologous recombination (HR) comprises a series of interrelated pathways that function in the repair of DNA double strand breaks and interstrand crosslinks. In addition, HR, with its key player RAD51, provides critical support for the recovery of stalled forks during replication. High levels of RAD51 are regularly found in various cancers, yet little is known about the effect of the increased RAD51 expression on intra-S checkpoint signaling. Here, we describe a role for RAD51 in driving genomic instability caused by impaired replication and intra-S mediated CHK1 signaling by studying an inducible RAD51 overexpression model as well as 10 breast cancer cell lines. We demonstrate that an excess of RAD51 decreases I-Sce-I mediated HR despite formation of more RAD51 foci. Cells with high RAD51 levels display reduced elongation rates and excessive dormant origin firing during undisturbed growth and after damage, likely caused by impaired CHK1 activation. In consequence, the inability of cells with a surplus of RAD51 to properly repair complex DNA damage and to resolve replication stress leads to higher genomic instability and thus drives tumorigenesis.

Parplys, A. C., J. I. Seelbach, S. Becker, M. Behr, A. Wrona, C. Jend, W. Y. Mansour, S. A. Joosse, H. - W. Stuerzbecher, H. Pospiech, et al., "High levels of RAD51 perturb DNA replication elongation and cause unscheduled origin firing due to impaired CHK1 activation.", Cell cycle (Georgetown, Tex.), vol. 14, issue 19, pp. 3190-202, 2015. Abstract

In response to replication stress ATR signaling through CHK1 controls the intra-S checkpoint and is required for the maintenance of genomic integrity. Homologous recombination (HR) comprises a series of interrelated pathways that function in the repair of DNA double strand breaks and interstrand crosslinks. In addition, HR, with its key player RAD51, provides critical support for the recovery of stalled forks during replication. High levels of RAD51 are regularly found in various cancers, yet little is known about the effect of the increased RAD51 expression on intra-S checkpoint signaling. Here, we describe a role for RAD51 in driving genomic instability caused by impaired replication and intra-S mediated CHK1 signaling by studying an inducible RAD51 overexpression model as well as 10 breast cancer cell lines. We demonstrate that an excess of RAD51 decreases I-Sce-I mediated HR despite formation of more RAD51 foci. Cells with high RAD51 levels display reduced elongation rates and excessive dormant origin firing during undisturbed growth and after damage, likely caused by impaired CHK1 activation. In consequence, the inability of cells with a surplus of RAD51 to properly repair complex DNA damage and to resolve replication stress leads to higher genomic instability and thus drives tumorigenesis.

Parthasarathy, S., A. G. Parlos, and A. F. Atiya, "Direct Adaptive Control of Process Systems Using Recurrent Neural Networks", Colloids and Surfaces A-physicochemical and Engineering Aspects, 1992. Abstract
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Parthasarathy, S., A. G. Parlos, and A. F. Atiya, Anticipatory control: A software retrofit for current plant controllers, , 1993. Abstract
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Parthasarathy, S., A. G. Parlos, and A. F. Atiya, Anticipatory control: A software retrofit for current plant controllers, , 1993. Abstract
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shawkat parves, M. Attia, and mohamed tawfik, "maxillofacial trauma in Qassim area a five years review", kasr eleini medical jounal, vol. 11, issue 6, pp. 303-311, 2005.
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