Stephen J. Buckley

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The IBM Supply Chain Simulator (SCS) is a software tool that can help a company or a group of companies make strategic business decisions about the design and operation of its supply chain. SCS and its predecessors were originally developed by IBM Research to improve IBM’s internal supply chains. The tool has played an important role in the resurgence of(More)
Amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD) are neurodegenerative disorders that are characterized by cytoplasmic aggregates and nuclear clearance of TAR DNA-binding protein 43 (TDP-43). Studies in Drosophila, zebrafish and mouse demonstrate that the neuronal dysfunction of TDP-43 is causally related to disease(More)
Neanderthals disappeared sometime between 30,000 and 24,000 years ago. Until recently, Neanderthals were understood to have been predominantly meat-eaters; however, a growing body of evidence suggests their diet also included plants. We present the results of a study, in which sequential thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) and(More)
eSCA is a client server, web-enabled architecture and front-end system for IBM’s Supply Chain Analyzer (SCA), a new “bestof breed” software tool and methodology for measuring, analyzing, and reengineering complex supply chains. eSCA extends the capability of SCA through a computing network with server-based and web-enabled functionality. eSCA consists of(More)
The emerging electronic commerce and rapidly changing business environments place strong requirements on a next-generation supply-chain analyzer to simulate the flow of goods through the entire supply chain in a timely manner. Such requirements include scalable and efficient model execution and support for flexible future extensibility based on an open(More)
S. Kapoor K. Bhattacharya S. Buckley P. Chowdhary M. Ettl K. Katircioglu E. Mauch L. Phillips In this paper we present a technical framework that supports sense and respond (SaR), the approach that enables an enterprise to adapt to a rapidly changing business environment. To implement the SaR approach, an enterprise proactively monitors trends and uses(More)
A highly integrated system was constructed to assess, and react to, a driver's cognitive load. Sensors embedded throughout the car track a wide variety of driver activities, including driving conditions, driver reactions, control usage, driver reflexes, passenger interaction, and driver attention. The raw sensor readings are compiled and parsed, and used to(More)