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© Author(s) 2015. CC Attribution 3.0 License.

by T. J. Troy, M. Konar, V. Srinivasan, S. Thompson , 2015
"... www.hydrol-earth-syst-sci.net/19/3667/2015/ doi:10.5194/hess-19-3667-2015 ..."
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www.hydrol-earth-syst-sci.net/19/3667/2015/ doi:10.5194/hess-19-3667-2015

10.1109/TC.2015.2417558, IEEE Transactions on Computers 1 Towards Energy Efficient Duty-Cycled Networks: Analysis, Implications and Improvement

by Jiliang Wang, Zhichao Cao, Xufei Mao, Xiang-yang Li, Yunhao Liu
"... Abstract—Duty cycling mode is widely adopted in wireless sensor networks to save energy. Existing duty-cycling protocols cannot well adapt to different data rates and dynamics, resulting in a high energy consumption in real networks. Improving those protocols may require global information or heavy ..."
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the performance improvement of the protocol. We implement the protocol in TinyOS and extensively evaluate it on 40 TelosB nodes. The evaluation results show the energy consumption can be reduced by 28.2%∼40.1 % compared with state-of-the-art protocols. Results based on data from a 1200-node operational network

www.jgeosci.org Journal of Geosciences, 60 (2015), 1–10 DOI: 10.3190/jgeosci.184 Original paper

by Anthony R. Kampf, Anatoly V. Kasatkin, Jiří Čejka, Joe Marty
"... Plášilite (IMA 2014-021), Na(UO2)(SO4)(OH)·2H2O, is a new uranyl sulfate mineral from the Blue Lizard mine, San Juan County, Utah, USA. The new mineral occurs in and on sandstone matrix in close association with atacamite, blödite, brochantite, calcite, chalcanthite, dickite, gerhardtite, gypsum, he ..."
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Plášilite (IMA 2014-021), Na(UO2)(SO4)(OH)·2H2O, is a new uranyl sulfate mineral from the Blue Lizard mine, San Juan County, Utah, USA. The new mineral occurs in and on sandstone matrix in close association with atacamite, blödite, brochantite, calcite, chalcanthite, dickite, gerhardtite, gypsum

RESEARCH ARTICLE Balanced Sparse Model for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

by Yunsong Liu, Jian-feng Cai, Zhifang Zhan, Di Guo, Jing Ye, Zhong Chen, Xiaobo Qu
"... Compressed sensing has shown to be promising to accelerate magnetic resonance imag-ing. In this new technology, magnetic resonance images are usually reconstructed by en-forcing its sparsity in sparse image reconstruction models, including both synthesis and analysis models. The synthesis model assu ..."
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algorithm constrained split augmented Lagrangian shrinkage algorithm for balanced model (C-SALSA-B) converges faster than previously proposed algorithms accelerated proximal algorithm (APG) and alter-nating directional method of multipliers for balanced model (ADMM-B).

Research Article Undersampled MR Image Reconstruction with Data-Driven Tight Frame

by Jianbo Liu, Shanshan Wang, Xi Peng, Dong Liang
"... which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Undersampled magnetic resonance image reconstruction employing sparsity regularization has fascinated many researchers in recent years under the support of compressed sensing t ..."
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which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Undersampled magnetic resonance image reconstruction employing sparsity regularization has fascinated many researchers in recent years under the support of compressed sensing theory. Nevertheless, most existing sparsity-regularized reconstruction methods either lack adaptability to capture the structure information or suffer from high computational load. With the aim of further improving image reconstruction accuracy without introducing too much computation, this paper proposes a data-driven tight frame magnetic image reconstruction (DDTF-MRI) method. By taking advantage of the efficiency and effectiveness of data-driven tight frame, DDTF-MRI trains an adaptive tight frame to sparsify the to-be-reconstructed MR image. Furthermore, a two-level Bregman iteration algorithm has been developed to solve the proposed model. The proposed method has been compared to two state-of-the-art methods on four datasets and encouraging performances have been achieved by DDTF-MRI. 1.

Research Article Triphala Extract Suppresses Proliferation and Induces Apoptosis in Human Colon Cancer Stem Cells via Suppressing c-Myc/Cyclin D1 and Elevation of Bax/Bcl-2 Ratio

by Ramakrishna Vadde, Sridhar Radhakrishnan, Lavanya Reddivari, Jairam K. P. Vanamala
"... Copyright © 2015 Ramakrishna Vadde et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Colon cancer is the second leading cause of ..."
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of cleaved PARP. Western blotting data suggested that MET suppressed protein levels of c-Myc and cyclin D1, key proteins involved in proliferation, and induced apoptosis through elevation of Bax/Bcl-2 ratio. Furthermore, MET inhibited HCCSCs colony formation, a measure of CSCs self-renewal ability.

von

by Mathematisch-naturwissenschaftlichen Fakultät, Stefan Lange, Prof Dr, Jan-hendrik Olbertz, Prof Dr, Elmar Kulke
"... eingereicht an der ..."
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eingereicht an der

OF

by James A. Mcgee, James A. Mcgee, James A. Mcgee, M. Kay, Manbir Sodhi, Nasser H. Zawia , 2015
"... This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations ..."
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This Dissertation is brought to you for free and open access by DigitalCommons@URI. It has been accepted for inclusion in Open Access Dissertations

for Sparse Translation-Invariant Signals

by Aalborg Universitet, Karsten Duarte, Marco F. Jensen, Søren Holdt, Karsten Fyhn, Student Member, Marco F. Duarte, Søren Holdt Jensen, Senior Member
"... Document Version Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA): ..."
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Document Version Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA):

scattered light intensity

by Maor Mutzafi, Yoav Shechtman, Yonina C. Eldar, Oren Cohen, Mordechai Segev
"... Deciphering the three-dimensional (3D) structure of complex molecules is of major importance, typically accomplished with X-ray crystallography. Unfortunately, many important molecules cannot be crystallized, hence their 3D structure is unknown. Ankylography presents an alternative, relying on scatt ..."
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Deciphering the three-dimensional (3D) structure of complex molecules is of major importance, typically accomplished with X-ray crystallography. Unfortunately, many important molecules cannot be crystallized, hence their 3D structure is unknown. Ankylography presents an alternative, relying on scattering an ultrashort X-ray pulse off a single molecule before it disintegrates, measuring the far-field intensity on a two-dimensional surface, followed by computation. However, significant information is absent due to lower dimensionality of the measurements and the inability to measure the phase. Recent Ankylography experiments attracted much interest, but it was counter-argued that Ankylography is valid only for objects containing a small number of volume pixels. Here, we propose a sparsity-based approach to reconstruct the 3D structure of molecules. Sparsity is natural for Ankylography, because molecules can be represented compactly in stoichiometric basis. Utilizing sparsity, we surpass current limits on recoverable information by orders of magnitude, paving the way for deciphering the 3D structure of macromolecules.
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