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Full-Text Articles in Engineering
Modeling The Economic Machine Using Bayesian Inference And Statistical Networks, And Optimal Portfolio Construction Using Operations Research, Richard Yang
ENGS 88 Honors Thesis (AB Students)
In this paper, we propose a network-based model to attempt to connect modern macroeconomic theory with real world economic observations and trends. We find that by extending macroeconomic theory with credit leveraging/deleveraging thresholds, we are able to explain economic cycles in addition to long-term growth. Furthermore, we specifically explore the growth-inflation view of the macro economy as a basis for optimal portfolio construction and efficient asset trading. Connecting our network-based macroeconomic model and our optimal portfolio construction algorithm, we create a novel macroeconomic asset-trading framework.
Fast Segmentation And High-Quality Three-Dimensional Volume Mesh Creation From Medical Images For Diffuse Optical Tomography, Michael Jermyn, Hamid Ghadyani, Michael A. Mastanduno, Wes Turner, Scott C. Davis, Hamid Dehghani, Brian W. Pogue
Fast Segmentation And High-Quality Three-Dimensional Volume Mesh Creation From Medical Images For Diffuse Optical Tomography, Michael Jermyn, Hamid Ghadyani, Michael A. Mastanduno, Wes Turner, Scott C. Davis, Hamid Dehghani, Brian W. Pogue
Dartmouth Scholarship
Multimodal approaches that combine near-infrared (NIR) and conventional imaging modalities have been shown to improve optical parameter estimation dramatically and thus represent a prevailing trend in NIR imaging. These approaches typically involve applying anatomical templates from magnetic resonance imaging/computed tomography/ultrasound images to guide the recovery of optical parameters. However, merging these data sets using current technology requires multiple software packages, substantial expertise, significant time-commitment, and often results in unacceptably poor mesh quality for optical image reconstruction, a reality that represents a significant roadblock for translational research of multimodal NIR imaging. This work addresses these challenges directly by introducing automated digital …
Transient And Localized Processes In The Magnetotail: A Review, A. S. Sharma, R. Nakamura, A. Runov, E. E. Grigorenko, H. Hasegawa, M. Hoshino, P. Louarn, C. J. Owen, A. Petrukovich, J.A. Sauvaud, V. S. Semenov, V. A. Sergeev, J. A. Slavin, B.U. O. Sonnerup, L. M. Zelenyi, G. Fruit, S. Haaland, H. Malova, K. Snekvik
Transient And Localized Processes In The Magnetotail: A Review, A. S. Sharma, R. Nakamura, A. Runov, E. E. Grigorenko, H. Hasegawa, M. Hoshino, P. Louarn, C. J. Owen, A. Petrukovich, J.A. Sauvaud, V. S. Semenov, V. A. Sergeev, J. A. Slavin, B.U. O. Sonnerup, L. M. Zelenyi, G. Fruit, S. Haaland, H. Malova, K. Snekvik
Dartmouth Scholarship
Many phenomena in the Earth's magnetotail have characteristic temporal scales of several minutes and spatial scales of a few Earth radii (RE). Examples of such transient and localized mesoscale phenomena are bursty bulk flows, beamlets, energy dispersed ion beams, flux ropes, traveling compression regions, night-side flux transfer events, and rapid flappings of the current sheet. Although most of these observations are linked to specific interpretations or theoretical models they are inter-related and can be the different aspects of a physical process or origin. Recognizing the inter-connected nature of the different transient and localized phenomena in the magnetotail, …