Browsing by Author "Wang, G."
Now showing 1 - 6 of 6
Results Per Page
Sort Options
- Carbonaceous biosignatures of diverse chemotrophic microbial communities from chert nodules of the Ediacaran Doushantuo FormationQu, Y.; Wang, J.; Xiao, S.; Whitehouse, M.; Engdahl, A.; Wang, G.; McLoughlin, N. (2017-03)
- Elastography Method for Reconstruction of Nonlinear Breast Tissue PropertiesWang, Z. G.; Liu, Y.; Wang, G.; Sun, L. Z. (Hindawi, 2009-07-09)Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. In this paper a nonlinear elastography method is introduced for reconstruction of complex breast tissue properties. The elastic parameters are estimated by optimally minimizing the difference between the computed forces and experimental measures. A nonlinear adjoint method is derived to calculate the gradient of the objective function, which significantly enhances the numerical efficiency and stability. Simulations are conducted on a three-dimensional heterogeneous breast phantom extracting from real imaging including fatty tissue, glandular tissue, and tumors. Anexponential-form of nonlinear material model is applied. The effect of noise is taken into account.Results demonstrate that the proposed nonlinear method opens the door toward nonlinear elastographyand provides guidelines for future development and clinical application in breast cancer study.
- Mechanisms of summertime precipitation variability in the Bolivian Altiplano: Present and futureThibeault, Jeanne M.; Seth, Anji; Wang, G. (Reading, United Kingdom: Royal Meteorological Society, 2011)The Bolivian Altiplano is particular vulnerable to harmful effects of climate change and corresponding disturbances in precipitation patterns. In this study, CMIP3 models were analyzed according to their ability to simulate past rainfall patterns. The most accurate models were then used to make predictions regarding summertime precipitation changes. Reductions in precipitation during the summer, runoff increases,
- Nonlinear Elasto-Mammography for Characterization of Breast Tissue PropertiesWang, Z. G.; Liu, Y.; Wang, G.; Sun, L. Z. (Hindawi, 2011-12-22)Quantification of the mechanical behavior of normal and cancerous tissues has important implication in the diagnosis of breast tumor. The present work extends the authors' nonlinear elastography framework to incorporate the conventional X-ray mammography, where the projection of displacement information is acquired instead of full three-dimensional (3D) vector. The elastic parameters of normal and cancerous breast tissues are identified by minimizing the difference between the measurement and the corresponding computational prediction. An adjoint method is derived to calculate the gradient of the objective function. Simulations are conducted on a 3D breast phantom consisting of the fatty tissue, glandular tissue, and cancerous tumor, whose mechanical responses are hyperelastic in nature. The material parameters are identified with consideration of measurement error. The results demonstrate that the projective displacements acquired in X-ray mammography provide sufficient constitutive information of the tumor and prove the usability and robustness of the proposed method and algorithm.
- Optimization of the first CUPID detector moduleAlfonso, Krystal; Armatol, A.; Augier, C.; Avignone, F. T.; Azzolini, O.; Balata, M.; Barabash, A. S.; Bari, G.; Barresi, A.; Baudin, D.; Bellini, F.; Benato, G.; Beretta, M.; Bettelli, M.; Biassoni, M.; Billard, J.; Boldrini, V.; Branca, A.; Brofferio, C.; Bucci, C.; Camilleri, J.; Campani, A.; Capelli, C.; Capelli, S.; Cappelli, L.; Cardani, L.; Carniti, P.; Casali, N.; Celi, E.; Chang, C.; Chiesa, D.; Clemenza, M.; Colantoni, I.; Copello, S.; Craft, E.; Cremonesi, O.; Creswick, R. J.; Cruciani, A.; D’Addabbo, A.; D’Imperio, G.; Dabagov, S.; Dafinei, I.; Danevich, F. A.; De Jesus, M.; de Marcillac, P.; Dell’Oro, S.; Di Domizio, S.; Di Lorenzo, S.; Dixon, T.; Dompè, V.; Drobizhev, A.; Dumoulin, L.; Fantini, G.; Faverzani, M.; Ferri, E.; Ferri, F.; Ferroni, F.; Figueroa-Feliciano, E.; Foggetta, L.; Formaggio, J.; Franceschi, A.; Fu, C.; Fu, S.; Fujikawa, B. K.; Gallas, A.; Gascon, J.; Ghislandi, S.; Giachero, A.; Gianvecchio, A.; Gironi, L.; Giuliani, A.; Gorla, P.; Gotti, C.; Grant, C.; Gras, P.; Guillaumon, P. V.; Gutierrez, T. D.; Han, K.; Hansen, E. V.; Heeger, K. M.; Helis, D. L.; Huang, H. Z.; Imbert, L.; Johnston, J.; Juillard, A.; Karapetrov, G.; Keppel, G.; Khalife, H.; Kobychev, V. V.; Kolomensky, Yu. G.; Konovalov, S. I.; Kowalski, R.; Langford, T.; Lefevre, M.; Liu, R.; Liu, Y.; Loaiza, P.; Ma, L.; Madhukuttan, M.; Mancarella, F.; Marini, L.; Marnieros, S.; Martinez, M.; Maruyama, R. H.; Mas, Ph.; Mauri, B.; Mayer, D.; Mazzitelli, G.; Mei, Y.; Milana, S.; Morganti, S.; Napolitano, T.; Nastasi, M.; Nikkel, J.; Nisi, S.; Nones, C.; Norman, E. B.; Novosad, V.; Nutini, I.; O’Donnell, T.; Olivieri, E.; Olmi, M.; Ouellet, J. L.; Pagan, S.; Pagliarone, C.; Pagnanini, L.; Pattavina, L.; Pavan, M.; Peng, H.; Pessina, G.; Pettinacci, V.; Pira, C.; Pirro, S.; Poda, D. V.; Polischuk, O. G.; Ponce, I.; Pozzi, S.; Previtali, E.; Puiu, A.; Quitadamo, S.; Ressa, A.; Rizzoli, R.; Rosenfeld, C.; Rosier, P.; Scarpaci, J.; Schmidt, B.; Sharma, V.; Shlegel, V. N.; Singh, V.; Sisti, M.; Slocum, P.; Speller, D.; Surukuchi, P. T.; Taffarello, L.; Tomei, C.; Torres, J. A.; Tretyak, V. I.; Tsymbaliuk, A.; Velazquez, M.; Vetter, K. J.; Wagaarachchi, S. L.; Wang, G.; Wang, L.; Wang, R.; Welliver, B.; Wilson, J.; Wilson, K.; Winslow, L. A.; Xue, M.; Yan, L.; Yang, J.; Yefremenko, V.; Umatov, V. I.; Zarytskyy, M. M.; Zhang, J.; Zolotarova, A.; Zucchelli, S. (2022-09-12)CUPID will be a next generation experiment searching for the neutrinoless double 𝛽 decay, whose discovery would establish the Majorana nature of the neutrino. Based on the experience achieved with the CUORE experiment, presently taking data at LNGS, CUPID aims to reach a background free environment by means of scintillating Li2 100MoO4 crystals coupled to light detectors. Indeed, the simultaneous heat and light detection allows us to reject the dominant background of 𝛼 particles, as proven by the CUPID-0 and CUPID-Mo demonstrators. In this work we present the results of the first test of the CUPID baseline module. In particular, we propose a new optimized detector structure and light sensors design to enhance the engineering and the light collection, respectively. We characterized the heat detectors, achieving an energy resolution of (5.9 ± 0.2) keV FWHM at the Q-value of 100Mo (about 3034 keV). We studied the light collection of the baseline CUPID design with respect to an alternative configuration which features gravity-assisted light detectors’ mounting. In both cases we obtained an improvement in the light collection with respect to past measures and we validated the particle identification capability of the detector, which ensures an 𝛼 particle rejection higher than 99.9%, fully satisfying the requirements for CUPID.
- Three-Dimensional Characterization of Iron Oxide (alpha-Fe2O3) Nanoparticles: Application of a Compressed Sensing Inspired Reconstruction Algorithm to Electron TomographyMonsegue, N.; Jin, X.; Echigo, T.; Wang, G.; Murayama, Mitsuhiro (Cambridge University Press, 2012-12)In this article, we demonstrate the application of a new compressed sensing three-dimensional reconstruction algorithm for electron tomography that increases the accuracy of morphological characterization of nanostructured materials such as nanocrystalline iron oxide particles. A powerful feature of the algorithm is an anisotropic total variation norm for the L1 minimization during algebraic reconstruction that effectively reduces the elongation artifacts caused by limited angle sampling during electron tomography. The algorithm provides faithful morphologies that have not been feasible with existing techniques.