Jeffrey R. Brian Arnold

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The desire to correct intensity nonuniformity in magnetic resonance images has led to the proliferation of nonuniformity-correction (NUC) algorithms with different theoretical underpinnings. In order to provide end users with a rational basis for selecting a given algorithm for a specific neuroscientific application, we evaluated the performance of six NUC(More)
Imaging studies of visuomotor learning have reported practice-related activation in brain regions mediating sensorimotor functions. However, development and testing of functional motor learning models, based on the relationship between imaging and behavioral measures, is complicated by the multidimensional nature of motoric control. In the present study,(More)
In any universities operation its managerial administration play an important characteristics. Universities have their Management Based System (MBS) but most of them are vulnerable to malicious activities such as virus attacks, spoofing attacks, and unauthorized access from outside network. We have to build a stable system of administration which guarantees(More)
Ksplice allows system administrators to apply security patches to their operating system kernels without having to reboot. Based on a source code patch and the kernel source code to be patched, Ksplice applies the patch to the corresponding running kernel, without requiring work from a programmer. To be fully automatic, Ksplice's design is limited to(More)
In this Commentary we argue that it is possible to improve the physical realism of hydrologic models by making better use of existing hydrologic theory. We address the following questions: (1)what are some key elements of current hydrologic theory; (2)how can those elements best be incorporated where they may be missing in current models; and (3)how can we(More)
As wireless networks grow and mature, service providers must develop increasingly sophisticated computational tools for effectively modeling and optimizing their networks. We investigate a flexible method for simplifying the simulation of large-scale wireless networks while maintaining simulation accuracy. The approach we discuss leverages principles of(More)
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