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University of Colorado Denver Business School, offering Bachelor, MBA, MS, and PhD degrees

Business School, University of Colorado Denver
 

Steven Walczak | Associate Professor of Information Systems


Steven Walczak, Associate Professor of Information Systems Management

Courses Taught

  • Introduction to Business programming with C# ISMG2200
  • Introduction to Business System Development ISMG2200
  • Introduction to C Programming ISMG4950
  • Advanced (Object-oriented) Analysis and Design ISMG6100
  • Introduction to Information Systems Infrastructure ISMG6120
  • Information Systems Security and Privacy ISMG6430
  • Knowledge Management ISMG6440

Other courses previously taught

Introduction to Artificial Intelligence (incl. LISP), Intelligent Decision Support Systems, Knowledge Management, Software Engineering, Operating Systems (general and Unix-based), Data Structures (Java), Object-oriented Systems Analysis and Design, Introduction to MIS (MBA-level), Database Management, Intro. and Advanced Programming (Pascal, C, C++, Java, QuickBasic), and assorted other courses.

Teaching Philosophy

My teaching philosophy is based on the two-fold principle that:

information + skill = knowledge
knowledge = power (or performance).

Students today are faced with needing to know a vast amount of information and to have the corresponding ability to apply that information in order to obtain employment and also keep that employment beyond any trial period. Thus, my courses tend to cover a lot of ground as I try to impart information and practical (real-life) examples of the importance of that information to students. Secondly, to assist in the development of skills, my courses normally require a large amount of hands-on work (e.g., programming projects, analysis of literature, development of systems, and other projects that simulate real-world experiences). I encourage student participation as much as possible.

Publications

Refereed Journals

  • Dawn G. Gregg and Steven Walczak (2008). Dressing Your Online Auction Business for Success: An Experiment Comparing Two E-Bay Businesses. Management Information Systems Quarterly 32 (3), 653-670.
  • Steven Walczak (2008a). Knowledge Management and Organizational Learning: An International Research Perspective. The Learning Organization 15 (6), accepted for publication.
  • Steven Walczak (2008b). Managing Personal Medical Knowledge: Agent-based Knowledge Acquisition. International Journal of Technology Management, accepted for publication.
  • Dawn G. Gregg and Steven Walczak (2007). Exploiting the Information Web. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews 37 (1), 109-125.
  • Deborah L. Kellogg and Steven Walczak (2007). Nurse Scheduling: From Academia to Implementation or Not? Interfaces 37 (4), 355-369.
  • Dawn G. Gregg and Steven Walczak (2006a). Adaptive Web Information Extraction. Communications of the ACM 49 (5), 78-84.
  • Dawn G. Gregg and Steven Walczak (2006b). Auction Advisor: An Agent-Based Online Auction Decision Support System. Decision Support Systems 41 (2), 449-471.
  • Steven Walczak, Dawn G. Gregg, and Joy L. Berrenberg (2006). Market Decision Making for Online Auction Sellers: Profit Maximization or Socialization. Journal of Electronic Commerce Research 7 (4), 199-220.
  • Steven Walczak and Madhavan Parthasarathy (2006). Modeling Online Service Discontinuation with Nonparametric Agents. Information Systems and e-Business Management 4 (1), 49-70.
  • Steven Walczak, Bradley B. Brimhall, and Jerry B. Lefkowitz (2006). Nonparametric Decision Support Systems in Medical Diagnosis: Modeling Pulmonary Embolism. International Journal of Healthcare Information Systems and Informatics 1 (2), 65-82. [Reprinted with minor updates as a chapter in Advances in Healthcare Information Systems and Informatics (AHISI) Book Series- Volume 1, see III.1. below]
  • Steven Walczak (2005a). Artificial Neural Network Medical Decision Support Tool: Predicting Transfusion Requirements of ER Patients. IEEE Transactions on Information Technology in Biomedicine 9 (3), 468-474.
  • Steven Walczak. (2005b). Organizational Knowledge Management Structure. The Learning Organization, 12 (4), 330-339.
  • Steven Walczak, Walter E. Pofahl, and Ronald J. Scorpio (2003). A Decision Support Tool for Allocating Hospital Bed Resources and Determining Required Acuity of Care. Decision Support Systems 34 (4), 445-456.
  • Dawn G. Gregg and Steven Walczak (2003). E-commerce Auction Agents and Online-Auction Dynamics. Electronic Markets 13 (3), 242-250.
  • Randal Covin, Maureen O'Brien, Gary Grunwald, Bradley Brimhall, Gulshan Sethi, Steven Walczak, William Reiquam, Chitra Rajagopalan, and A. Laurie Shroyer (2003). Factors Impacting Transfusion of Fresh Frozen Plasma, Platelets, and Red Blood Cells During Elective Coronary Artery Bypass Graft Surgery. Archives of Pathology & Laboratory Medicine 127 (4), 415-423.
  • Steven Walczak (2003a). Knowledge-Based Search in Competitive Domains. IEEE Transactions on Knowledge and Data Engineering 15 (3), 734-743.
  • Steven Walczak (2003b). A Multiagent Architecture for Developing Medical Information Retrieval Agents. Journal of Medical Systems 27 (5), 479-498.
  • William J. Nowack, Steven Walczak, and Abdorasool Janati (2002). Clinical Correlate of EEG Rhythmicity. Journal of Clinical Neurophysiology 19 (1), 32-36.
  • Steven Walczak (2002a). A Context-Based Computational Model of Language Acquisition by Infants and Children. Foundations of Science 7 (4), 393-411.
  • Steven Walczak (2002b). Information Security for Agent-based WWW Medical Information Retrieval. Logistics Information Management 15 (5/6), 393-399.
  • Irma Becerra-Fernandez, Stelios H. Zanakis, and Steven Walczak (2002). Knowledge Discovery Techniques for Predicting Country Investment Risk. Computers & Industrial Engineering 43 (4), 787-800.
  • Steven Walczak and William J. Nowack (2001). An Artificial Neural Network Approach to Diagnosing Epilepsy Using Lateralized Bursts of Theta EEGs. Journal of Medical Systems 25 (1), 9-20.
  • Steven Walczak (2001a). An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks. Journal of Management Information Systems 17 (4), 203-222.
  • Steven Walczak (2001b). Neural Networks as a Tool for Developing and Validating Business Heuristics. Expert Systems with Applications 21 (1), 31-36.
  • Irena Yegorova, Bruce H. Andrews, John B. Jensen, Bert J. Smoluk, and Steven Walczak (2001). A Successful Neural Network-Based Methodology for Predicting Small Business Loan Default. The Credit and Financial Management Review 7 (4), 31-42.
  • Steven Walczak and Reijer Grimbergen (2000). Pattern Analysis and Analogy in Shogi: Predicting Shogi Moves from Prior Experience. Knowledge and Information Systems 2 (2), 185-200.
  • Steven Walczak and Ronald J. Scorpio (2000). Predicting Pediatric Length of Stay and Acuity of Care in the First Ten Minutes with Artificial Neural Networks. Pediatric Critical Care Medicine 1 (1), 42-47.
  • Steven Walczak (2000a). Redesigning the Medical Office for Improved Efficiency: An Object-Oriented Event-Driven Messaging System. Journal of Medical Systems 24 (1), 29-37.
  • Steven Walczak and John E. Scharf (2000a). Reducing Surgical Patient Costs Through Use of an Artificial Neural Network to Predict Transfusion Requirements. Decision Support Systems 30 (2), 125-138.
  • Steven Walczak and John E. Scharf (2000b). Transfusion Cost Containment for Abdominal Surgery with Neural Networks. Neural Processing Letters 11 (3), 229-238.
  • Steven Walczak and Terry Sincich (1999). A Comparative Analysis of Regression and Neural Networks for University Admissions. Information Sciences 119 (1-2), 1-20.
  • Steven Walczak (1999a). Gaining Competitive Advantage for Trading in Emerging Capital Markets with Neural Networks. Journal of Management Information Systems 16 (2), 177-192.
  • Steven Walczak and Narciso Cerpa (1999). Heuristic Principles for the Design of Artificial Neural Networks. Information and Software Technology 41 (2), 107-117.
  • Steven Walczak (1999b). A Re-Evaluation of Information Systems Publication Forums. Journal of Computer Information Systems 40 (1), 88-97.
  • Steven Walczak (1998a). Knowledge Acquisition and Knowledge Representation with Class: The Object-Oriented Paradigm. Expert Systems with Applications 15 (3/4), 235-244.
  • Steven Walczak (1998b). Neural Network Models for A Resource Allocation Problem. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics 28 (2), 276-284.
  • Walter E. Pofahl, Steven M. Walczak, Ethan Rhone, and Seth D. Izenberg (1998). Use of an Artificial Neural Network to Predict Length of Stay in Acute Pancreatitis. American Surgeon 64 (9), 868-872.
  • Steven Walczak and Paul Fishwick (1997). A Quantitative Analysis of Pattern Production and Its Relationship to Expert Performance. Journal of Experimental and Theoretical Artificial Intelligence 9 (1), 83-101.
  • Steven Walczak (1996a). A Modified Decision Tree Approach for Evaluating the Potential for Application of Neural Networks and Expert Systems. Journal of Computer Information Systems 36 (4), 1-6.
  • Steven Walczak (1995a). Developing Neural Nets for Currency Trading. Artificial Intelligence in Finance 2 (1), 27-34.
  • Steven Walczak (1995b). Modeling Affect: The Next Step in Intelligent Computer Evolution. Informatica 19 (4), 573-584.
  • Steven Walczak (1995c). Selecting Between AI Technologies. Artificial Intelligence in Finance 2 (2), 15-21.
  • Steven Walczak and Douglas D. Dankel II (1993a). Acquiring Tactical and Strategic Knowledge with a Generalized Method for Chunking of Game Pieces. International Journal of Intelligent Systems 8 (2), 249-270. [Reprinted as a chapter in Knowledge Acquisition as Modeling, see III.11. below]
  • Steven Walczak (1992a). Pattern-Based Tactical Planning. International Journal of Pattern Recognition and Artificial Intelligence 6 (5), 955-988.
  • Steven Walczak and Paul Fishwick (1989). A Centralized Methodology for Multi-Level Abstraction in Simulation. Simulation Digest 19 (4), 25-31.

Refereed Conference/Workshop Proceedings

  • Steven Walczak and Toan Ong (2009). Society of Agents. Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, (Hawaii, HI), accepted.
  • Bradley B. Brimhall, Timothy E. Hall, Steven Walczak (2006). Historical Return on Investment and Improved Quality Resulting from Development and Mining of a Hospital Laboratory Relational Database. American Medical Informatics Association (AMIA) 2006 Symposium Proceedings, (Phoenix, AZ), 865.
  • Steven Walczak (2003c). Artificial Neural Networks Operating in an Information Poor Setting: The Case of Predicting Trauma Patient Transfusions. Decision Sciences Institute 2003 Proceedings, (Washington, DC), 1-6.
  • Steven Walczak and Dawn G. Gregg (2003). Building Business Heuristics with Data-Mining Internet Agents. 2003 - Ninth Americas Conference on Information Systems, (Tampa, FL), 1871-1875 [available online only here].
  • Steven Walczak and Dale Zwart (2003). Organizational Knowledge Management: Enabling a Knowledge Culture. Information Technology and Organizations: Trends, Issues, Challenges and Solutions, Proceedings of the 2003 Information Resources Management Association (IRMA) International Conference, (Philadelphia, PA), 670-673.
  • Irena Yegorova, Bruce H. Andrews, John B. Jensen, Bert J. Smoluk, and Steven Walczak (2002). A Successful Neural Network-Based Methodology for Predicting Small Business Loan Default. Northeast Decision Sciences Institute 31st Annual Meeting, (San Juan, Puerto Rico), 106-108.
  • Steven Walczak, Irena Yegorova, Bruce H. Andrews (2002). Training Distribution Strategies for Optimizing Neural Network Classification Models. Issues and Trends of Information Technology Management in Contemporary Organizations, Proceedings of the 2002 Information Resources Management Association (IRMA) International Conference, Volume 1, (Seattle, WA), 803-805. [Best Paper Award]
  • Steven Walczak and Aram Apatyan (2001). A Neural Network Evaluation of the Managed Floating Exchange Rate Regime in Armenia. Decision Sciences Institute 2001 Proceedings Volume 3, (San Francisco, CA), 1144-1146.
  • Steven Walczak (2001c). Old Tricks for New Dogs: Some Methods for Improving Internet Agent Security. AMCIS 2001 Proceedings of the Seventh Americas Conference on Information Systems, (Boston, MA), 1207-1212.
  • Steven Walczak (2000b). Improving Clinical Care with MIDGI-A. AMCIS 2000 Proceedings of the Americas Conference on Information Systems, (Long Beach, CA), 314-316.
  • Walter E. Pofahl and Steven M. Walczak (1999). Predicting Length of Stay in Patients with Acute Pancreatitis. Owen H. Wangensteen Surgical Forum 85th Annual Clinical Congress 1999 Volume L, (San Fransisco, CA), 657-659.
  • Steven Walczak (1999c). Quality of Neural Network Financial Models as a Function of Time. Decision Sciences Institute 5th International Conference Proceedings Volume 1, (Athens, Greece), 537-539.
  • Steven Walczak (1998c). Acquiring Systems Knowledge with GOOI (Graphical Object-Oriented Interfaces). AIS Proceedings of the Fourth Americas Conference on Information Systems, (Baltimore, MD), 223-226.
  • Hitoshi Matsubara, Steven Walczak, and Reijer Grimbergen (1998). Analysis of important patterns in Shogi. The 15 th Annual Meeting of the Japanese Cognitive Science Society, (Nagoya, Japan), 136-137. [in Japanese/Kanji]
  • Steven Walczak (1998d). A Decision Support Tool for Allocating Hospital Bed Resources. Decision Sciences Institute 1998 Proceedings Volume 2, (Las Vegas, NV), 660-662. [Best Application Paper Award]
  • Steven Walczak (1998e). Information Effects on Neural Network Forecasting Model Accuracy. Decision Sciences Institute 1998 Proceedings Volume 1, (Las Vegas, NV), 145-147.
  • Steven Walczak and Ali Tahai (1998). A Neural Network Approach to Long-run Exchange Rate Prediction. Decision Sciences Institute 1998 Proceedings Volume 1, (Las Vegas, NV), 207-208.
  • Steven Walczak and Kristin McNally (1998). An Object-Oriented Approach to Graphical Knowledge Acquisition. Proceedings Fourth World Congress on Expert Systems, (Mexico City, Mexico) 495-499.
  • Steven Walczak, Ronald J. Scorpio, and Walter E. Pofahl (1998). Predicting Hospital Length of Stay with Neural Networks. Proceedings of the Eleventh International FLAIRS Conference, (Sanibel Island, FL) 333-337.
  • Steven Walczak (1997a). Evaluating Pacific Rim Stock Markets with Neural Networks. 1997 Proceedings Decision Sciences Institute Annual Meeting, (San Diego, CA) 238-240.
  • Steven Walczak (1996b). Improving Opening Book Performance Through Modeling of Chess Opponents. Proceedings of the ACM Computer Science Conference, (Philadelphia, PA) 53-57.
  • Steven Walczak (1996c). Predicting Financial Time Series with Multivariate Time Lags. 1996 Proceedings Decision Sciences Institute, (Orlando, FL) 192-194.
  • Steven Walczak (1994a). Categorizing University Student Applicants with Neural Networks. Proceedings of IEEE International Conference on Neural Networks, (Orlando, FL) 3680-3685.
  • Steven Walczak (1994b). Currency Trading with Neural Networks. Proceedings International Symposium on Artificial Intelligence VII, (Monterrey, Mexico) 42-48.
  • Steven Walczak (1994c). Integrating Neural Networks and Expert Systems for Intelligent Resource Allocation in Academic Admissions. Proceedings of the International Symposium on Integrating Knowledge and Neural Heuristics, (Pensacola, FL) 245-253.
  • Steven Walczak (1994d). Using Microcomputer Expert System Shells to Develop a Knowledge-Based Personal Computer Error Consultant. Proceedings of the Seventh Florida Artificial Intelligence Research Symposium, (Pensacola, FL) 311-314.
  • Steven Walczak (1993). Knowledge-Based Selection of Engineering and Architectural Materials. Proceedings of the Sixth Florida Artificial Intelligence Research Symposium, (Ft. Lauderdale, FL) 106-110.
  • Steven Walczak (1992b). Graphical Knowledge Acquisition for Multinational Manufacturing Organizations. Proceedings International Symposium on Artificial Intelligence V, (Cancun, Mexico) 333-340.
  • Steven Walczak (1992c). ISLA: An Intelligent Assistant for Diagnosing Semantic Errors in LISP Code. Proceedings of the Fifth Florida Artificial Intelligence Research Symposium, (Ft. Lauderdale, FL) 102-105.
  • Steven Walczak (1991a). Constructing Cognitive Adversary Models. Proceedings International Symposium on Artificial Intelligence IV, (Cancun, Mexico) 321-327.
  • Steven Walczak (1991b). Emotion-Based Learning: A New Learning Paradigm. Proceedings of the Fourth Florida Artificial Intelligence Research Symposium, (Cocoa Beach, FL) 130-134.
  • Walt Marchand, Richard Kern, and Steven Walczak (1991). Plant Health Recognition Using Neural Networks. Proceedings of the Fourth Florida Artificial Intelligence Research Symposium, (Cocoa Beach, FL) 56-60.
  • Steven Walczak (1991c). Predicting Actions from Induction on Past Performance. Machine Learning - Proceedings of the Eighth International Workshop (ML91), (Evanston, IL) 275-279.
  • Steven Walczak (1991d). Reducing Training Requirements for Personnel in Isolated Environments with Journeyman Systems. Expert Systems World Congress Proceedings, (Orlando, FL) 2496-2503.
  • Steven Walczak (1990a). Acquiring Strategic Knowledge in Adversarial Domains. Proceedings of the Fifth Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, (Banff, Canada) 33-1 to 33-14.
  • Steven Walczak (1990b). Adversary Modeling with Multiple Knowledge Sources. Proceedings of the Third Florida Artificial Intelligence Research Symposium, (Cocoa Beach, FL) 38-41.
  • Steven Walczak (1990c). Modeling the Strategic Decision Making Process of Adversaries. Workshop Notes from the Eighth National Conference on Artificial Intelligence (AAAI-90) Adversarial Reasoning and Artificial Intelligence and Legal Reasoning. (Boston, MA)
  • Paul Fishwick and Steven Walczak (1988). Utilizing Abstraction and Perspective in Battle Simulation. Proceedings of the 1988 Winter Simulation Conference, (San Diego, CA) 731-735.

Refereed Book Chapters

  • Steven Walczak, Bradley B. Brimhall, and Jerry B. Lefkowitz (2008c). Diagnostic Cost Reduction Using Artificial Neural Networks: The Case of Pulmonary Embolism. In: J. Tan (Ed.) Advances in Healthcare Information Systems and Informatics (AHISI) Book Series- Volume 1, New York: IGI Global, pp. 108-130.
  • Steven Walczak (2008d). Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks. In: G. Phillips-Wren, N. Ichalkaranje, & L. C. Jain (Eds.) Intelligent Decision Making an AI Based Approach, New York: Springer, pp. 259-287.
  • Steven Walczak (2004). Forecasting Emerging Market Indexes with Neural Networks. In: G. P. Zhang (Ed.), Neural Networks in Business Forecasting, Hershey, PA: Idea Group Publishing, pp. 80-101.
  • Steven Walczak, Irena Yegorova, and Bruce H. Andrews (2003). The Effect of Training Set Distributions for Supervised Learning Artificial Neural Networks on Classification Accuracy. In: G. Ditsa (Ed.), Information Management: Support Systems and Multimedia Technology, Hershey, PA: IRM Press, Chapter VII, pp. 93-108.
  • Steven Walczak and Narciso Cerpa (2002). Artificial Neural Networks. In: R. A. Meyers (Ed.), Encyclopedia of Physical Science and Technology, Third Edition, Volume 1, San Diego, CA: Academic Press, pp. 631-645.
  • Steven Walczak (2000c). Information Effects on the Accuracy of Neural Network Financial Forecasting. In: S.H. Zanakis, G. Doukidis, & C. Zopounidis (Eds.), Decision Making: Recent Developments and Worldwide Applications, Dordrecht, Netherlands: Kluwer, pp. 173-182.
  • Steven Walczak, Ali Tahai, and Khondkar Karim (1998). Improved Cash Flows Using Neural Network Models for Forecasting Foreign Exchange Rates. In: P. Siegel, K. Omer, A. deKorvin, & A. Zebda (Eds.) Applications of Fuzzy Sets and The Theory of Evidence to Accounting II, Stamford, Connecticut: JAI Press, pp. 293-310.
  • Ali Tahai, Steven Walczak, and John T. Rigsby (1998). Improving Artificial Neural Network Performance Through Input Variable Selection. In: P. Siegel, K. Omer, A. deKorvin, & A. Zebda (Eds.) Applications of Fuzzy Sets and The Theory of Evidence to Accounting II, Stamford, Connecticut: JAI Press, pp. 277-292.
  • Steven Walczak (1997b). Emotion-Based Learning: Building Sentient Survivable Systems. In: M. Gams, M. Paprzycki, & X. Wu (Eds.) Mind Versus Computer, Amsterdam, Netherlands: IOS Press, pp. 128-140.
  • Steven Walczak and James Krause (1995). Chaos, Neural Networks, And Gaming. In: E. A. Yfantis (Ed.) Intelligent Systems, Dordrecht, Netherlands: Kluwer Academic, pp. 457-466.
  • Steven Walczak and Douglas D. Dankel II (1993b). Acquiring Tactical and Strategic Knowledge With a Generalized Method for Chunking of Game Pieces. In: K. Ford & J. Bradshaw (Eds.) Knowledge Acquisition as Modeling, New York: John Wiley, pp. 249-270.

ABSTRACTS

  • William J. Nowack, Steven Walczak, and Jane G. Boggs (2000). Interictal EEG Rhythmicity. Journal of Clinical Neurophysiology, 17 (5), 531.
  • William J. Nowack, Abdorasool Janati, and Steven Walczak (1999). Seizures and EEG Rhythmicity. Clinical Electroencephalography, 30 (1), 33.
  • Ronald J. Scorpio and Steven Walczak (1998). Predicting Intensive Care Unit Length of Stay Based on Data Upon Arrival in the Emergency Room Using a Neural Network. Critical Care Medicine, 26 (1) Supplement, A68.
  • Walter Pofahl, Steven Walczak, and Ethan Rhone (1998). Predicting Length of Stay in Acute Pancreatitis with a Neural Network. Gastroenterology, 114 (4) Supplement, A491.
  • Steven Walczak (1992d). Using Inductive Inference of Past Performance to Build Strategic Cognitive Adversary Models. SIGART Bulletin, 3 (1), 59.
  • Steven Walczak (1991e). Developing Opening Strategies by Analyzing an Opponent's Game History. ICCA (International Computer Chess Association) Journal, 14 (March), 21-22.

Invited or non-refereed publications

  • Steven Walczak (2007c). Review of Neural Networks in Organizational Research. Organizational Research Methods 10 (4), 710-712.
  • Steven Walczak (2006a). Editorial. The Learning Organization 13 (1), 5-6.
  • Steven Walczak (2006b). Editorial - The Value of Literature Reviews. The Learning Organization 13 (2), 120-122.
  • Steven Walczak (2006c). Editorial - The International Flavor of Organizational Learning & Knowledge Management. The Learning Organization 13 (5), 415.
  • Steven Walczak (2004b). Review of The Handbook of Data Mining. Organizational Research Methods 7 (1), 119-121.
  • Steven Walczak (2003d). What are the implications of the Internet for business users? In: D. R. Laube & R. F. Zammuto (Eds.) Business Driven Information Technology: Answers to 100 Critical Questions for Every Manager, Palo Alto, CA: Stanford University Press, Chapter 26, pp. 114-117.
  • Steven Walczak and Marlena Fiol (2003). What is knowledge management? In: D. R. Laube & R. F. Zammuto (Eds.) Business Driven Information Technology: Answers to 100 Critical Questions for Every Manager, Palo Alto, CA: Stanford University Press, Chapter 51, pp. 219-223.
  • Steven Walczak (1996d). Neural Networks in the Capital Markets, A. P. Refenes (Ed.), book review, Artificial Intelligence in Finance, 2 (4), 25.
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