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Section 52

EurekaMag Full Text Articles Chapter 51,145



References:

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Colomba, D.; Cardillo, M.; Raffa, A.; Argano, C.; Licata, G. 2014: A hidden echocardiographic pitfall: the Gerbode defect. Internal and Emergency Medicine 9(2): 237-238
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Panneerselvam, J.; Pickering, A.; Zhang, J.; Wang, H.; Tian, H.; Zheng, J.; Fei, P. 2013: A hidden role of the inactivated FANCD2: upregulating ΔNp63. Oncotarget 4(9): 1416-1426
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Wong, W.W.; Tran, L.M.; Liao, J.C. 2009: A hidden square-root boundary between growth rate and biomass yield. Biotechnology and Bioengineering 102(1): 73-80
Penwell, V. 2010: A hidden tragedy: birth as a human rights issue in developing countries. Midwifery Today with International Midwife 94: 9
Yang, C.; Wan, X.; Yang, Q.; Xue, H.; Tang, N.L.S.; Yu, W. 2011: A hidden two-locus disease association pattern in genome-wide association studies. Bmc Bioinformatics 12: 156
Masood, A.-M.; Ali, O.M.; Sequeira, R. 2013: A hiding in the lining: painful pericardial cyst. BMJ Case Reports
Katsimitsoulia, Z.; Taylor, W.R. 2010: A hierarchic collision detection algorithm for simple Brownian dynamics. Computational Biology and Chemistry 34(2): 71-79
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Tscherepanow, M.; Kortkamp, M.; Kammer, M. 2011: A hierarchical ART network for the stable incremental learning of topological structures and associations from noisy data. Neural networks: the official journal of the International Neural Network Society 24(8): 906-916
Patrick, L.D.; Ogle, K.; Tissue, D.T. 2009: A hierarchical Bayesian approach for estimation of photosynthetic parameters of C(3) plants. Plant Cell and Environment 32(12): 1695-1709
Wu, W.; Chen, Z.; Gao, S.; Brown, E.N. 2011: A hierarchical Bayesian approach for learning sparse spatio-temporal decompositions of multichannel EEG. Neuroimage 56(4): 1929-1945
Wang, I-J.; Chen, C-C.; Chan, C-C.; Chen, P-C.; Leonardi, G.; Wu, K-Y. 2011: A hierarchical Bayesian approach for risk assessment of melamine in infant formula based on cases of related nephrolithiasis in children. Food Additives and Contaminants. Part A Chemistry Analysis Control Exposure and Risk Assessment 28(4): 384-395
Catelan, D.; Lagazio, C.; Biggeri, A. 2010: A hierarchical Bayesian approach to multiple testing in disease mapping. Biometrical Journal. Biometrische Zeitschrift 52(6): 784-797
Braun, T.M.; Wang, S. 2010: A hierarchical Bayesian design for phase i trials of novel combinations of cancer therapeutic agents. Biometrics 66(3): 805-812
Watabe, T.; Okuhara, Y.; Sagara, Y. 2014: A hierarchical Bayesian framework to infer the progression level to diabetes based on deficient clinical data. Computers in Biology and Medicine 50: 107-115
Fujiwara, Y.; Yamashita, O.; Kawawaki, D.; Doya, K.; Kawato, M.; Toyama, K.; Sato, M.-a. 2009: A hierarchical Bayesian method to resolve an inverse problem of MEG contaminated with eye movement artifacts. Neuroimage 45(2): 393-409
Chitsazan, N.; Tsai, F.T.-C. 2015: A hierarchical Bayesian model averaging framework for groundwater prediction under uncertainty. Ground Water 53(2): 305-316
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Zheng, S.; Chen, L. 2009: A hierarchical Bayesian model for comparing transcriptomes at the individual transcript isoform level. Nucleic Acids Research 37(10): E75
Rochette, S.; Le Pape, O.; Vigneau, J.; Rivot, E. 2013: A hierarchical Bayesian model for embedding larval drift and habitat models in integrated life cycles for exploited fish. Ecological Applications: a Publication of the Ecological Society of America 23(7): 1659-1676
Kennedy, M.C.; Roelofs, V.J.; Anderson, C.W.; Salazar, J.é D. 2011: A hierarchical Bayesian model for extreme pesticide residues. Food and Chemical Toxicology: An International Journal Published for the British Industrial Biological Research Association 49(1): 222-232
Gompert, Z.; Buerkle, C.A. 2011: A hierarchical Bayesian model for next-generation population genomics. Genetics 187(3): 903-917
van Ravenzwaaij, D.; Moore, C.P.; Lee, M.D.; Newell, B.R. 2014: A hierarchical Bayesian modeling approach to searching and stopping in multi-attribute judgment. Cognitive Science 38(7): 1384-1405
Mourad, Rël.; Sinoquet, C.; Leray, P. 2011: A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies. Bmc Bioinformatics 12: 16
Xin, H.; Koekkoek, A.; Yang, Q.; van Santen, R.; Li, C.; Hensen, E.J.M. 2009: A hierarchical Fe/ZSM-5 zeolite with superior catalytic performance for benzene hydroxylation to phenol. Chemical Communications 48: 7590-7592
Xu, H.; Wang, L.; Sallans, L.; Freitas, M.A. 2009: A hierarchical MS2/MS3 database search algorithm for automated analysis of phosphopeptide tandem mass spectra. Proteomics 9(7): 1763-1770
Xu, W.; Lu, Z.; Lei, X.; Li, Y.; Sun, X. 2014: A hierarchical Ni-Co-O@Ni-Co-S nanoarray as an advanced oxygen evolution reaction electrode. Physical Chemistry Chemical Physics: Pccp 16(38): 20402-20405
Ferrari, S.; Bellocchio, F.; Piuri, V.; Borghese, N.A. 2010: A hierarchical RBF online learning algorithm for real-time 3-D scanner. IEEE Transactions on Neural Networks 21(2): 275-285
Kim, W.; Pitt, M.A.; Lu, Z.-L.; Steyvers, M.; Myung, J.I. 2014: A hierarchical adaptive approach to optimal experimental design. Neural Computation 26(11): 2465-2492
Pohl, K.M.; Bouix, S.; Nakamura, M.; Rohlfing, T.; McCarley, R.W.; Kikinis, R.; Grimson, W.E.L.; Shenton, M.E.; Wells, W.M. 2007: A hierarchical algorithm for MR brain image parcellation. IEEE Transactions on Medical Imaging 26(9): 1201-1212
Li, L.; Kresh, J.A.; Karabacak, N.M.; Cobb, J.S.; Agar, J.N.; Hong, P. 2008: A hierarchical algorithm for calculating the isotopic fine structures of molecules. Journal of the American Society for Mass Spectrometry 19(12): 1867-1874
Gumerov, N.A.; Berlin, K.; Fushman, D.; Duraiswami, R. 2012: A hierarchical algorithm for fast Debye summation with applications to small angle scattering. Journal of Computational Chemistry 33(25): 1981-1996
Stronegger, W.J.; Freidl, W. 2010: A hierarchical analysis of social determinants of measles vaccination coverage in Austrian schoolchildren. European Journal of Public Health 20(3): 354-359
Rouder, J.N.; Tuerlinckx, F.; Speckman, P.; Lu, J.; Gomez, P. 2008: A hierarchical approach for fitting curves to response time measurements. Psychonomic Bulletin and Review 15(6): 1201-1208
Liang, S.-F.; Chen, Y.-C.; Wang, Y.-L.; Chen, P.-T.; Yang, C.-H.; Chiueh, H. 2013: A hierarchical approach for online temporal lobe seizure detection in long-term intracranial EEG recordings. Journal of Neural Engineering 10(4): 045004
Cheng, H.D.; Sun, Y. 2000: A hierarchical approach to color image segmentation using homogeneity. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society 9(12): 2071-2082
Garcés, J.L.ís.; Acerenza, L.; Mizraji, E.; Mas, F. 2008: A hierarchical approach to cooperativity in macromolecular and self-assembling binding systems. Journal of Biological Physics 34(1-2): 213-235
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Wang, J.; Yang, X. 2012: A hierarchical approach to forest landscape pattern characterization. Environmental Management 49(1): 64-81
Hohm, T.; Zitzler, E. 2010: A hierarchical approach to model parameter optimization for developmental systems. Bio Systems 102(2-3): 157-167
Mohammad, T.A.S.; Nagarajaram, H.A. 2011: A hierarchical approach to protein fold prediction. Journal of Integrative Bioinformatics 8(1): 185
Chen, J.-j.; Zhang, Q.; Shi, Y.-n.; Qin, L.-l.; Cao, Y.; Zheng, M.-s.; Dong, Q.-f. 2012: A hierarchical architecture S/MWCNT nanomicrosphere with large pores for lithium sulfur batteries. Physical Chemistry Chemical Physics: Pccp 14(16): 5376-5382
Su, Z.; Wang, Q. 2010: A hierarchical assembly process to engineer a hydrophobic core for virus-like particles. Angewandte Chemie 49(52): 10048-10050
Fordyce, J.A.; Gompert, Z.; Forister, M.L.; Nice, C.C. 2011: A hierarchical bayesian approach to ecological count data: a flexible tool for ecologists. Plos one 6(11): E26785
Mutshinda, C.M.; Noykova, N.; Sillanpää, M.J. 2012: A hierarchical bayesian approach to multi-trait clinical quantitative trait locus modeling. Frontiers in Genetics 3: 97
Chagneau, P.; Mortier, F.éd.ér.; Picard, N.; Bacro, J.-N.ël. 2011: A hierarchical bayesian model for spatial prediction of multivariate non-gaussian random fields. Biometrics 67(1): 97-105
Lee, M.D. 2006: A hierarchical bayesian model of human decision-making on an optimal stopping problem. Cognitive Science 30(3): 1-26
Chung, S-Heng.; Manthiram, A. 2014: A hierarchical carbonized paper with controllable thickness as a modulable interlayer system for high performance Li-S batteries. Chemical Communications 50(32): 4184-4187
Chen, H.-Y.; Wang, C.-Y.; Lee, M.-Y.; Tang, P.-F.; Chu, Y.-H.; Suen, M.-W. 2010: A hierarchical categorisation of tasks in mobility disability. Disability and Rehabilitation 32(19): 1586-1593
Douglass, L.L.; Turner, J.; Grantham, H.S.; Kaiser, S.; Constable, A.; Nicoll, R.; Raymond, B.; Post, A.; Brandt, A.; Beaver, D. 2014: A hierarchical classification of benthic biodiversity and assessment of protected areas in the Southern Ocean. Plos one 9(7): E100551
Cabessa, J.ér.ém.; Vill, A.E.P. 2010: A hierarchical classification of first-order recurrent neural networks. Chinese Journal of Physiology 53(6): 407-416
Lombard, V.; Bernard, T.; Rancurel, C.; Brumer, H.; Coutinho, P.M.; Henrissat, B. 2010: A hierarchical classification of polysaccharide lyases for glycogenomics. Biochemical Journal 432(3): 437-444
Bae, H.W.; Ji, Y.; Lee, H.S.; Lee, N.; Hong, S.; Seong, G.J.; Sung, K.R.; Kim, C.Y. 2015: A hierarchical cluster analysis of normal-tension glaucoma using spectral-domain optical coherence tomography parameters. Journal of Glaucoma 24(4): 328-333
Baek, S.; Sung, K.R.; Sun, J.H.; Lee, J.R.; Lee, K.S.; Kim, C.Y.; Shon, K. 2013: A hierarchical cluster analysis of primary angle closure classification using anterior segment optical coherence tomography parameters. Investigative Ophthalmology and Visual Science 54(1): 848-853
Pandey, R.B.; Kuang, Z.; Farmer, B.L. 2013: A hierarchical coarse-grained (all-atom-to-all-residue) computer simulation approach: self-assembly of peptides. Plos one 8(8): E70847
Pan, J.; Sasaki, M.; Kniewel, R.; Murakami, H.; Blitzblau, H.G.; Tischfield, S.E.; Zhu, X.; Neale, M.J.; Jasin, M.; Socci, N.D.; Hochwagen, A.; Keeney, S. 2011: A hierarchical combination of factors shapes the genome-wide topography of yeast meiotic recombination initiation. Cell 144(5): 719-731
Macias, E.; Suarez, A.; Chiti, F.; Sacco, A.; Fantacci, R. 2011: A hierarchical communication architecture for oceanic surveillance applications. Sensors 11(12): 11343-11356
Peltier, J.W.; D'Alessandro, A.M.; Hsu, M.; Schibrowsky, J.A. 2011: A hierarchical communication model of the antecedents of health care professionals' support for donations after cardiac death. American Journal of Transplantation: Official Journal of the American Society of Transplantation and the American Society of Transplant Surgeons 11(3): 591-598
Marcovitch, S.; Zelazo, P.D. 2009: A hierarchical competing systems model of the emergence and early development of executive function. Developmental Science 12(1): 1-18
Xu, Z.; Chen, H.; Zhu, S-Chun.; Luo, J. 2008: A hierarchical compositional model for face representation and sketching. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(6): 955-969
Fu, B.; Xu, X.; Zhang, D.H. 2008: A hierarchical construction scheme for accurate potential energy surface generation: an application to the F+H2 reaction. Journal of Chemical Physics 129(1): 011103
Holdsworth, C.; Kim, M.; Liao, J.; Phillips, M.H. 2010: A hierarchical evolutionary algorithm for multiobjective optimization in IMRT. Medical Physics 37(9): 4986-4997
Orendorff, D.; Mjolsness, E. 2012: A hierarchical exact accelerated stochastic simulation algorithm. Journal of Chemical Physics 137(21): 214104
Frazier, C.B.; Ludwig, T.D.; Whitaker, B.; Roberts, D.S. 2013: A hierarchical factor analysis of a safety culture survey. Journal of Safety Research 45: 15-28
Morgan, C.J.; Lenzenweger, M.F.; Rubin, D.B.; Levy, D.L. 2014: A hierarchical finite mixture model that accommodates zero-inflated counts, non-independence, and heterogeneity. Statistics in Medicine 33(13): 2238-2250
Moger, T.A.; Haugen, M.; Yip, B.H.K.; Gjessing, H.åk.K.; Borgan, O. 2011: A hierarchical frailty model applied to two-generation melanoma data. Lifetime Data Analysis 17(3): 445-460
Valberg, M.; Grotmol, T.; Tretli, S.; Veierød, M.B.; Moger, T.A.; Aalen, O.O. 2014: A hierarchical frailty model for familial testicular germ-cell tumors. American Journal of Epidemiology 179(4): 499-506
Zhang, Y.; Tang, Z.-m.; Li, Y.-p.; Luo, Y. 2014: A hierarchical framework approach for voice activity detection and speech enhancement. Thescientificworldjournal 2014: 723643
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Singh, N.; Hinkle, J.; Joshi, S.; Fletcher, P.T. 2013: A hierarchical geodesic model for diffeomorphic longitudinal shape analysis. Information Processing in Medical Imaging: Proceedings of the . Conference 23: 560-571
Nasution, B.B.; Khan, A.I. 2008: A hierarchical graph neuron scheme for real-time pattern recognition. IEEE Transactions on Neural Networks 19(2): 212-229
Song, X. 2013: A hierarchical hybrid design for high performance tin based Li-ion battery anodes. Nanotechnology 24(20): 205401
Kurtz, C.; Beaulieu, C.F.; Napel, S.; Rubin, D.L. 2014: A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations. Journal of Biomedical Informatics 49: 227-244
Wu, Y.; Zhang, X.-H.; Xu, F.; Zheng, L.-S.; Kang, J. 2009: A hierarchical lattice structure and formation mechanism of ZnO nano-tetrapods. Nanotechnology 20(32): 325709
Traxler, M.J. 2009: A hierarchical linear modeling analysis of working memory and implicit prosody in the resolution of adjunct attachment ambiguity. Journal of Psycholinguistic Research 38(5): 491-509
Wright, P.J. 2010: A hierarchical linear modeling assessment of dual-addiction status and change in sexual compulsivity over time. Psychological Reports 107(1): 236-244
Liberali, P.; Snijder, B.; Pelkmans, L. 2014: A hierarchical map of regulatory genetic interactions in membrane trafficking. Cell 157(6): 1473-1487
Smith, R.; Najarian, K.; Ward, K. 2009: A hierarchical method based on active shape models and directed Hough transform for segmentation of noisy biomedical images; application in segmentation of pelvic X-ray images. Bmc Medical Informatics and Decision Making 9(Suppl 1): S2
Kang, L.; Guo, Q.; Wang, X. 2012: A hierarchical method for molecular docking using cloud computing. Bioorganic and Medicinal Chemistry Letters 22(21): 6568-6572
Luo, Y.; Hargraves, R.H.; Belle, A.; Bai, O.; Qi, X.; Ward, K.R.; Pfaffenberger, M.P.; Najarian, K. 2013: A hierarchical method for removal of baseline drift from biomedical signals: application in ECG analysis. Thescientificworldjournal 2013: 896056
Moreno-Dominguez, D.; Anwander, A.; Knösche, T.R. 2014: A hierarchical method for whole-brain connectivity-based parcellation. Human Brain Mapping 35(10): 5000-5025
Gamalinda, M.; Ohmayer, U.; Jakovljevic, J.; Kumcuoglu, B.; Woolford, J.; Mbom, B.; Lin, L.; Woolford, J.L. 2014: A hierarchical model for assembly of eukaryotic 60S ribosomal subunit domains. Genes and Development 28(2): 198-210
Deng, Y.; Wang, Y.; Chen, P.; Yu, J. 2012: A hierarchical model for automatic nuchal translucency detection from ultrasound images. Computers in Biology and Medicine 42(6): 706-713
Todem, D.; Williams, K.P. 2009: A hierarchical model for binary data with dependence between the design and outcome success probabilities. Statistics in Medicine 28(24): 2967-2988
Van den Hout, A.; Alberink, I. 2010: A hierarchical model for body height estimation in images. Forensic Science International 197(1-3): 48-53
Cheng, F.; Hartmann, S.; Gupta, M.; Ibrahim, J.G.; Vision, T.J. 2009: A hierarchical model for incomplete alignments in phylogenetic inference. Bioinformatics 25(5): 592-598
Guo, Y.; Tang, L. 2013: A hierarchical model for probabilistic independent component analysis of multi-subject fMRi studies. Biometrics 69(4): 970-981
Kaimi, I.; Diggle, P.J. 2011: A hierarchical model for real-time monitoring of variation in risk of non-specific gastrointestinal infections. Epidemiology and Infection 139(12): 1854-1862
Degras, D.; Lindquist, M.A. 2014: A hierarchical model for simultaneous detection and estimation in multi-subject fMRi studies. Neuroimage 98: 61-72
Ferrer, S.R.; Strina, A.; Jesus, S.R.; Ribeiro, H.C.; Cairncross, S.; Rodrigues, L.C.; Barreto, M.L. 2008: A hierarchical model for studying risk factors for childhood diarrhoea: a case-control study in a middle-income country. International Journal of Epidemiology 37(4): 805-815
Ramey, W.L.; Martirosyan, N.L.; Zabramski, J.M.; Spetzler, R.F.; Kalani, M.Y.S. 2014: A hierarchical model for the development of cerebral arteriovenous malformations. Clinical Neurology and Neurosurgery 126: 126-129
Van der Heiden, C.; Melchior, K.; Muris, P.; Bouwmeester, S.; Bos, A.E.R.; van der Molen, H.T. 2010: A hierarchical model for the relationships between general and specific vulnerability factors and symptom levels of generalized anxiety disorder. Journal of Anxiety Disorders 24(2): 284-289
Thomassen, T.O.; Halvari, H. 2007: A hierarchical model of approach achievement motivation and effort regulation during a 90-min. soccer match. Perceptual and Motor Skills 105(2): 609-635
Erdem, U.ğu.M.; Milford, M.J.; Hasselmo, M.E. 2015: A hierarchical model of goal directed navigation selects trajectories in a visual environment. Neurobiology of Learning and Memory 117: 109-121
Gutiérrez, F.; Vall, G.; Peri, J.M.; Gárriz, M.; Garrido, J.M. 2014: A hierarchical model of normal and abnormal personality up to seven factors. Comprehensive Psychiatry 55(2): 326-335
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Barrett, H.C. 2012: A hierarchical model of the evolution of human brain specializations. Proceedings of the National Academy of Sciences of the United States of America 109(Suppl 1): 10733-10740
Laplanche, C. 2010: A hierarchical model to estimate fish abundance in alpine streams by using removal sampling data from multiple locations. Biometrical Journal. Biometrische Zeitschrift 52(2): 209-221
Bennani, O.; Chauvet, G.; Chauvet, P.; Dupont, J.-M.; Jouen, F. 2009: A hierarchical modeling approach of hippocampus local circuit. Journal of Integrative Neuroscience 8(1): 49-76
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Ballard, D.H.; Kit, D.; Rothkopf, C.A.; Sullivan, B. 2013: A hierarchical modular architecture for embodied cognition. Multisensory Research 26(1-2): 177-204
Lin, W.C.; Liao, F.Y.; Tsao, C.K.; Lingutla, T. 1991: A hierarchical multiple-view approach to three-dimensional object recognition. IEEE Transactions on Neural Networks 2(1): 84-92
Gao, P.; Li, A.R.; Tai, M.H.; Liu, Z.Y.; Sun, D.D. 2014: A hierarchical nanostructured carbon nanofiber-In2S3 photocatalyst with high photodegradation and disinfection abilities under visible light. Chemistry An Asian Journal 9(6): 1663-1670
Converse, S.J.; Royle, J.A.; Adler, P.H.; Urbanek, R.P.; Barzen, J.A. 2013: A hierarchical nest survival model integrating incomplete temporally varying covariates. Ecology and Evolution 3(13): 4439-4447
Xue, L.; Cohnstaedt, L.W.; Scott, H.Morgan.; Scoglio, C. 2013: A hierarchical network approach for modeling Rift Valley fever epidemics with applications in North America. Plos one 8(5): E62049
Yildiz, I.B.; Kiebel, S.J. 2011: A hierarchical neuronal model for generation and online recognition of birdsongs. Plos Computational Biology 7(12): E1002303
Wathen, B.; Jia, Z. 2013: A hierarchical order within protein structures underlies large separations between strands in β-sheets. Proteins 81(1): 163-175
Nice, C.C.; Forister, M.L.; Gompert, Z.; Fordyce, J.A.; Shapiro, A.M. 2014: A hierarchical perspective on the diversity of butterfly species' responses to weather in the Sierra Nevada Mountains. Ecology 95(8): 2155-2168
Ko, H.W.; Kim, E.Y.; Chiu, J.; Vanselow, J.T.; Kramer, A.; Edery, I. 2010: A hierarchical phosphorylation cascade that regulates the timing of PERIOD nuclear entry reveals novel roles for proline-directed kinases and GSK-3beta/SGG in circadian clocks. Journal of Neuroscience: the Official Journal of the Society for Neuroscience 30(38): 12664-12675
Gallopin, M.él.; Rau, A.; Jaffrézic, F. 2013: A hierarchical poisson log-normal model for network inference from RNA sequencing data. Plos one 8(10): E77503
Li, J.; Zhang, H.; Zhang, Y.; Wang, M.; Zhang, F.; Nie, H. 2013: A hierarchical porous electrode using a micron-sized honeycomb-like carbon material for high capacity lithium-oxygen batteries. Nanoscale 5(11): 4647-4651
He, X.; Yang, Z.; Tsien, J.Z. 2011: A hierarchical probabilistic model for rapid object categorization in natural scenes. Plos one 6(5): E20002
Brittain, E.; Follmann, D. 2011: A hierarchical rank test for crossover trials with censored data. Statistics in Medicine 30(30): 3507-3519
Seunarine, K.; Curtis, A.S.G.; Meredith, D.O.; Wilkinson, C.D.W.; Riehle, M.O.; Gadegaard, N. 2009: A hierarchical response of cells to perpendicular micro- and nanometric textural cues. IEEE Transactions on Nanobioscience 8(3): 219-225
Feragen, A.; Petersen, J.; Owen, M.; Lo, P.; Thomsen, L.H.; Wille, M.M.W.; Dirksen, A.; de Bruijne, M. 2012: A hierarchical scheme for geodesic anatomical labeling of airway trees. Medical Image Computing and Computer-Assisted Intervention: Miccai . International Conference on Medical Image Computing and Computer-Assisted Intervention 15(Part 3): 147-155
Yusuf, H.; Kim, W.-G.; Lee, D.H.; Aloshyna, M.; Brolo, A.G.; Moffitt, M.G. 2007: A hierarchical self-assembly route to three-dimensional polymer-quantum dot photonic arrays. Langmuir 23(10): 5251-5254
Oaki, Y.; Hayashi, S.; Imai, H. 2007: A hierarchical self-similar structure of oriented calcite with association of an agar gel matrix: inheritance of crystal habit from nanoscale. Chemical Communications 2007(27): 2841-2843
Qu, L.; Nettleton, D.; Dekkers, J.C.M. 2012: A hierarchical semiparametric model for incorporating intergene information for analysis of genomic data. Biometrics 68(4): 1168-1177
Kong, F.; Paterson, D.L.; Whitby, M.; Coory, M.; Clements, A.C.A. 2013: A hierarchical spatial modelling approach to investigate MRSA transmission in a tertiary hospital. Bmc Infectious Diseases 13: 449
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Clarke, S.G.; Phillips, A.T.M.; Bull, A.M.J.; Cobb, J.P. 2012: A hierarchy of computationally derived surgical and patient influences on metal on metal press-fit acetabular cup failure. Journal of Biomechanics 45(9): 1698-1704
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Huang, L.; Harkenrider, M.; Thompson, M.; Zeng, P.; Tanaka, H.; Gilley, D.; Ingram, D.A.; Bonanno, J.A.; Yoder, M.C. 2010: A hierarchy of endothelial colony-forming cell activity displayed by bovine corneal endothelial cells. Investigative Ophthalmology and Visual Science 51(8): 3943-3949
Groenewald, B.é; Chown, S.L.; Terblanche, J.S. 2014: A hierarchy of factors influence discontinuous gas exchange in the grasshopper Paracinema tricolor (Orthoptera: Acrididae). Journal of Experimental Biology 217(Part 19): 3407-3415
Wheeler, S.E.; Houk, K.N.; Schleyer, P.v.R.; Allen, W.D. 2009: A hierarchy of homodesmotic reactions for thermochemistry. Journal of the American Chemical Society 131(7): 2547-2560
Machin, L. 2011: A hierarchy of needs? Embryo donation, in vitro fertilisation and the provision of infertility counselling. Patient Education and Counseling 85(2): 264-268
Abdel Baki, S.G.; Kao, H.-Y.; Kelemen, E.; Fenton, A.é A.; Bergold, P.J. 2009: A hierarchy of neurobehavioral tasks discriminates between mild and moderate brain injury in rats. Brain Research 1280: 98-106
Juhl, C.; Lund, H.; Roos, E.M.; Zhang, W.; Christensen, R. 2012: A hierarchy of patient-reported outcomes for meta-analysis of knee osteoarthritis trials: empirical evidence from a survey of high impact journals. Arthritis 2012: 136245
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Matito, E.; Toffoli, D.; Christiansen, O. 2009: A hierarchy of potential energy surfaces constructed from energies and energy derivatives calculated on grids. Journal of Chemical Physics 130(13): 134104
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Chen, R.; Nishimura, M.C.; Bumbaca, S.M.; Kharbanda, S.; Forrest, W.F.; Kasman, I.M.; Greve, J.M.; Soriano, R.H.; Gilmour, L.L.; Rivers, C.S.; Modrusan, Z.; Nacu, S.; Guerrero, S.; Edgar, K.A.; Wallin, J.J.; Lamszus, K.; Westphal, M.; Heim, S.; James, C.D.; VandenBerg, S.R.; Costello, J.F.; Moorefield, S.; Cowdrey, C.J.; Prados, M.; Phillips, H.S. 2010: A hierarchy of self-renewing tumor-initiating cell types in glioblastoma. Cancer Cell 17(4): 362-375
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Fraga, C.A.d.C.; de Oliveira, M.V.íc.M.; de Oliveira, Ér.S.; Barros, L.O.; Santos, F.B.G.ãe.; Gomez, R.S.; De-Paula, A.M.íc.B.; Guimarães, A.é L.S. 2012: A high HIF-1α expression genotype is associated with poor prognosis of upper aerodigestive tract carcinoma patients. Oral Oncology 48(2): 130-135
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Yang, C.-M.; Chen, H.-C.; Hou, Y.-Y.; Lee, M.-C.; Liou, H.-H.; Huang, S.-J.; Yen, L.-M.; Eng, D.-M.; Hsieh, Y.-D.; Ger, L.-P. 2014: A high IL-4 production diplotype is associated with an increased risk but better prognosis of oral and pharyngeal carcinomas. Archives of Oral Biology 59(1): 35-46
Keiser, S.D.; Boyd, K.W.; Rehberg, J.F.; Elkins, S.; Owens, M.Y.; Sunesara, I.; Martin, J.N. 2012: A high LDH to AST ratio helps to differentiate pregnancy-associated thrombotic thrombocytopenic purpura (TTP) from HELLP syndrome. Journal of Maternal-Fetal and Neonatal Medicine: the Official Journal of the European Association of Perinatal Medicine the Federation of Asia and Oceania Perinatal Societies the International Society of Perinatal Obstetricians 25(7): 1059-1063
Zhang, M.; He, Y.; Sun, X.; Li, Q.; Wang, W.; Zhao, A.; Di, W. 2014: A high M1/M2 ratio of tumor-associated macrophages is associated with extended survival in ovarian cancer patients. Journal of Ovarian Research 7: 19
Ikegami, T.; Shirabe, K.; Yoshiya, S.; Yoshizumi, T.; Yamashita, Y.-I.; Harimoto, N.; Toshima, T.; Uchiyama, H.; Soejima, Y.; Maehara, Y. 2014: A high MELD score, combined with the presence of hepatitis C, is associated with a poor prognosis in living donor liver transplantation. Surgery Today 44(2): 233-240
Saito, N.; Fu, J.; Zheng, S.; Yao, J.; Wang, S.; Liu, D.D.; Yuan, Y.; Sulman, E.P.; Lang, F.F.; Colman, H.; Verhaak, R.G.; Yung, W.K.A.; Koul, D. 2014: A high Notch pathway activation predicts response to γ secretase inhibitors in proneural subtype of glioma tumor-initiating cells. Stem Cells 32(1): 301-312
Lee, S.Eun.; Romero, R.; Kim, E-Chong.; Yoon, B.Hyun. 2009: A high Nugent score but not a positive culture for genital mycoplasmas is a risk factor for spontaneous preterm birth. Journal of Maternal-Fetal and Neonatal Medicine: the Official Journal of the European Association of Perinatal Medicine the Federation of Asia and Oceania Perinatal Societies the International Society of Perinatal Obstetricians 22(3): 212-217
Kaufmann, S.; Malhotra, A.; Ardelt, G.; Ryschka, M. 2014: A high accuracy broadband measurement system for time resolved complex bioimpedance measurements. Physiological Measurement 35(6): 1163-1180
Mangote, B.; Gallais, L.; Zerrad, M.; Lemarchand, F.; Gao, L.H.; Commandré, M.; Lequime, M. 2012: A high accuracy femto-/picosecond laser damage test facility dedicated to the study of optical thin films. Review of Scientific Instruments 83(1): 013109
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Melhus, H.; Risérus, U.; Warensjö, E.; Wernroth, L.; Jensevik, K.; Berglund, L.; Vessby, B.; Michaëlsson, K. 2008: A high activity index of stearoyl-CoA desaturase is associated with increased risk of fracture in men. Osteoporosis international: a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 19(7): 929-934
Li, J.; Lu, G.; Wang, Y.; Guo, Y.; Guo, Y. 2012: A high activity photocatalyst of hierarchical 3D flowerlike ZnO microspheres: synthesis, characterization and catalytic activity. Journal of Colloid and Interface Science 377(1): 191-196
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Basilico, C.; Arnesano, A.; Galluzzo, M.; Comoglio, P.M.; Michieli, P. 2008: A high affinity hepatocyte growth factor-binding site in the immunoglobulin-like region of Met. Journal of Biological Chemistry 283(30): 21267-21277
Kim, P.Y.; Tieu, L.D.; Stafford, A.R.; Fredenburgh, J.C.; Weitz, J.I. 2012: A high affinity interaction of plasminogen with fibrin is not essential for efficient activation by tissue-type plasminogen activator. Journal of Biological Chemistry 287(7): 4652-4661
Sarial, S.; Asadi, F.; Jeddi-Tehrani, M.; Hadavi, R.; Bayat, A.A.; Mahmoudian, J.; Taghizadeh-Jahed, M.; Shokri, F.; Rabbani, H. 2012: A high affinity monoclonal antibody recognizing the light chain of human coagulating factor VIi. Hybridoma 31(6): 443-448
Nguyen, T.; Drotar, A.-M.; Monson, R.K.; Fall, R. 2009: A high affinity pyruvate decarboxylase is present in cottonwood leaf veins and petioles: a second source of leaf acetaldehyde emission?. Phytochemistry 70(10): 1217-1221
Tomasevic, N.; Luehrsen, K.; Baer, M.; Palath, V.; Martinez, D.; Williams, J.; Yi, C.; Sujatha-Bhaskar, S.; Lanke, R.; Leung, J.; Ching, W.; Lee, A.; Bai, L.; Yarranton, G.; Bebbington, C. 2014: A high affinity recombinant antibody to the human EphA3 receptor with enhanced ADCC activity. Growth Factors 32(6): 223-235
Svensson, P.A.; Lehtonen, T.K.; Wong, B.B.M. 2012: A high aggression strategy for smaller males. Plos one 7(8): E43121
Fischer, E.; Hannemann, A.; Rettig, R.; Lieb, W.; Nauck, M.; Pallauf, A.; Bidlingmaier, M.; Bildingmaier, M.; Beuschlein, F.; Wallaschofski, H.; Reincke, M. 2014: A high aldosterone to renin ratio is associated with high serum parathyroid hormone concentrations in the general population. Journal of Clinical Endocrinology and Metabolism 99(3): 965-971
Martin, L.; Lodemann, U.; Bondzio, A.; Gefeller, E-Maria.; Vahjen, W.; Aschenbach, Jörg.Rudolf.; Zentek, Jürgen.; Pieper, R. 2013: A high amount of dietary zinc changes the expression of zinc transporters and metallothionein in jejunal epithelial cells in vitro and in vivo but does not prevent zinc accumulation in jejunal tissue of piglets. Journal of Nutrition 143(8): 1205-1210
Le Bas, P-Yves.; Ulrich, T.J.; Anderson, B.E.; Esplin, J.James. 2013: A high amplitude, time reversal acoustic non-contact excitation (trance). Journal of the Acoustical Society of America 134(1): EL52-EL56
Garnaes, E.; Kiss, K.; Andersen, L.; Therkildsen, M.H.; Franzmann, M.B.; Filtenborg-Barnkob, B.; Hoegdall, E.; Krenk, L.; Josiassen, M.; Lajer, C.B.; Specht, L.; Frederiksen, K.; Friis-Hansen, L.; Nielsen, F.C.; Kjaer, S.K.; Norrild, B.; von Buchwald, C. 2015: A high and increasing HPV prevalence in tonsillar cancers in Eastern Denmark, 2000-2010: the largest registry-based study to date. International journal of cancer 136(9): 2196-2203
Tuna, F.; Smith, C.A.; Bodensteiner, M.; Ungur, L.; Chibotaru, L.F.; McInnes, E.J.L.; Winpenny, R.E.P.; Collison, D.; Layfield, R.A. 2012: A high anisotropy barrier in a sulfur-bridged organodysprosium single-molecule magnet. Angewandte Chemie 51(28): 6976-6980
Ix, J.H.; Katz, R.; Peralta, C.A.; de Boer, I.H.; Allison, M.A.; Bluemke, D.A.; Siscovick, D.S.; Lima, J.ão.A.C.; Criqui, M.H. 2010: A high ankle brachial index is associated with greater left ventricular mass MESA (Multi-Ethnic Study of Atherosclerosis). Journal of the American College of Cardiology 55(4): 342-349
Wohlfahrt, P.; Palous, D.; Ingrischová, M.; Krajcoviechová, A.; Seidlerová, J.; Galovcová, M.ét.; Bruthans, J.; Jozífová, M.; Adámková, V.; Filipovsky, J.; Cífková, R. 2011: A high ankle-brachial index is associated with increased aortic pulse wave velocity: the Czech post-MONICA study. European Journal of Cardiovascular Prevention and Rehabilitation: Official Journal of the European Society of Cardiology Working Groups on Epidemiology and Prevention and Cardiac Rehabilitation and Exercise Physiology 18(6): 790-796
Allison, M.A.; Hiatt, W.R.; Hirsch, A.T.; Coll, J.R.; Criqui, M.H. 2008: A high ankle-brachial index is associated with increased cardiovascular disease morbidity and lower quality of life. Journal of the American College of Cardiology 51(13): 1292-1298
Skulas-Ray, A.C.; Kris-Etherton, P.M.; Teeter, D.L.; Chen, C.-Y.O.; Vanden Heuvel, J.P.; West, S.G. 2011: A high antioxidant spice blend attenuates postprandial insulin and triglyceride responses and increases some plasma measures of antioxidant activity in healthy, overweight men. Journal of Nutrition 141(8): 1451-1457
Kibler, A.B.; Jamieson, B.G.; Durand, D.M. 2012: A high aspect ratio microelectrode array for mapping neural activity in vitro. Journal of Neuroscience Methods 204(2): 296-305
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Johnsson, I.W.; Haglund, B.; Ahlsson, F.; Gustafsson, J. 2015: A high birth weight is associated with increased risk of type 2 diabetes and obesity. Pediatric Obesity 10(2): 77-83
May, O.; Schlosser, H.; Skytte, L. 2009: A high blood pressure predicts bleeding complications and a longer hospital stay after elective coronary angiography using the femoral approach. Journal of Interventional Cardiology 22(2): 175-178
Peer, N.; Steyn, K.; Lombard, C.; Gwebushe, N.; Levitt, N. 2013: A high burden of hypertension in the urban black population of Cape Town: the cardiovascular risk in Black South Africans (CRIBSA) study. Plos one 8(11): E78567
Turner, C.; Turner, P.; Cararra, V.; Eh Lwe, N.; Watthanaworawit, W.; Day, N.P.; White, N.J.; Goldblatt, D.; Nosten, Fçois. 2012: A high burden of respiratory syncytial virus associated pneumonia in children less than two years of age in a South East Asian refugee population. PloS one 7(11): e50100
Thomas, A.P.; Dunn, T.N.; Drayton, J.B.; Oort, P.J.; Adams, S.H. 2012: A high calcium diet containing nonfat dry milk reduces weight gain and associated adipose tissue inflammation in diet-induced obese mice when compared to high calcium alone. Nutrition and Metabolism 9(1): 3
Eller, L.K.; Reimer, R.A. 2010: A high calcium, skim milk powder diet results in a lower fat mass in male, energy-restricted, obese rats more than a low calcium, casein, or soy protein diet. Journal of Nutrition 140(7): 1234-1241
Chung, S.C.; Hammarsten, P.; Josefsson, A.; Stattin, P.är.; Granfors, T.; Egevad, L.; Mancini, G.; Lutz, B.; Bergh, A.; Fowler, C.J. 2009: A high cannabinoid CB(1) receptor immunoreactivity is associated with disease severity and outcome in prostate cancer. European Journal of Cancer 45(1): 174-182
Chao, M.-W.; Lin, C.-h.; Yu, C.-W.; Lee, T.-Y. 2009: A high capacity 3D steganography algorithm. IEEE Transactions on Visualization and Computer Graphics 15(2): 274-284
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Hu, M.; Li, Z.; Fang, D.Z. 2012: A high carbohydrate diet induces the beneficial effect of the CC genotype of hepatic lipase C-514T polymorphism on the apoB100/apoAi ratio only in young Chinese males. Scandinavian Journal of Clinical and Laboratory Investigation 72(7): 563-569
Fragasso, G.; Montano, C.; Lattuada, G.; Salerno, A.; Palloshi, A.; Calori, G.; Luzi, L.; Perseghin, G.; Margonato, A. 2011: A high carbohydrate meal yields a lower ischemic threshold than a high fat meal in patients with stable coronary disease. International Journal of Cardiology 147(2): 209-213
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Li, L.; Xiao, N.; Yang, X.; Gao, J.; Ding, J.; Wang, T.; Hu, G.; Xiao, M. 2012: A high cholesterol diet ameliorates hippocampus-related cognitive and pathological deficits in ovariectomized mice. Behavioural Brain Research 230(1): 251-258
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Turhan Iyidir, O.; Cimen, A.R.ız.; Değertekin, C.K.; Baloş Törüner, F.üs.; Cakır, N.; Arslan, M. 2013: A high chromogranin A: Is it always a tumor?. Turkish Journal of Gastroenterology: the Official Journal of Turkish Society of Gastroenterology 24(2): 186-187
Lohi, O.; Arola, M.; Lautenschlager, I.; Nacheva, E.P.; Vettenranta, K. 2010: A high circulating copy number of HHV-6 due to chromosomal integration in a child with acute lymphoblastic leukemia. Pediatric Blood and Cancer 55(6): 1236-1238
Lantz, N.; Hechler, B.éa.; Ravanat, C.; Cazenave, J.-P.; Gachet, C. 2007: A high concentration of ADP induces weak platelet granule secretion independently of aggregation and thromboxane A2 production. Thrombosis and Haemostasis 98(5): 1145-1147
Lee, B.-K.; Kim, M.-J.; Jang, H.-S.; Lee, H.-R.; Ahn, K.-M.; Lee, J.-H.; Choung, P.-H.; Kim, M.-J. 2008: A high concentration of MMP-2/gelatinase a and MMP-9/gelatinase B reduce NK cell-mediated cytotoxicity against an oral squamous cell carcinoma cell line. In Vivo 22(5): 593-597
Di, X.; Andrews, D.M.K.; Tucker, C.J.; Yu, L.; Moore, A.B.; Zheng, X.; Castro, L.; Hermon, T.; Xiao, H.; Dixon, D. 2012: A high concentration of genistein down-regulates activin A, Smad3 and other TGF-β pathway genes in human uterine leiomyoma cells. Experimental and Molecular Medicine 44(4): 281-292
Ringholm, L.; Pedersen-Bjergaard, U.; Thorsteinsson, B.; Boomsma, F.; Damm, P.; Mathiesen, E.R. 2011: A high concentration of prorenin in early pregnancy is associated with development of pre-eclampsia in women with type 1 diabetes. Diabetologia 54(7): 1615-1619
Schenk, S.; Schoenhals, G.J.; de Souza, G.; Mann, M. 2008: A high confidence, manually validated human blood plasma protein reference set. Bmc Medical Genomics 1: 41
Moirangthem, L.D.; Bhattacharya, S.; Stensjö, K.; Lindblad, P.; Bhattacharya, J. 2014: A high constitutive catalase activity confers resistance to methyl viologen-promoted oxidative stress in a mutant of the cyanobacterium Nostoc punctiforme ATCC 29133. Applied Microbiology and Biotechnology 98(8): 3809-3818
Antczak, C.; Mahida, J.P.; Singh, C.; Calder, P.A.; Djaballah, H. 2014: A high content assay to assess cellular fitness. Combinatorial Chemistry and High Throughput Screening 17(1): 12-24
Lin, S.H.; Zhang, J.; Giri, U.; Stephan, C.; Sobieski, M.; Zhong, L.; Mason, K.A.; Molkentine, J.; Thames, H.D.; Yoo, S.S.; Heymach, J.V. 2014: A high content clonogenic survival drug screen identifies mek inhibitors as potent radiation sensitizers for KRAS mutant non-small-cell lung cancer. Journal of Thoracic Oncology: Official Publication of the International Association for the Study of Lung Cancer 9(7): 965-973
Wilkinson, K.; Boyd, J.D.; Glicksman, M.; Moore, K.J.; El Khoury, J. 2011: A high content drug screen identifies ursolic acid as an inhibitor of amyloid beta protein interactions with its receptor CD36. Journal of Biological Chemistry 286(40): 34914-34922
Kim, J.J.; Vega, S.án.L.; Moghe, P.V. 2013: A high content imaging-based approach for classifying cellular phenotypes. Methods in Molecular Biology 1052: 41-48
Fuller, J.A.; Shaw, G.C.; Bonnet-Wersinger, D.; Hansen, B.S.; Berlinicke, C.A.; Inglese, J.; Zack, D.J. 2014: A high content screening approach to identify molecules neuroprotective for photoreceptor cells. Advances in Experimental Medicine and Biology 801: 773-781
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Persson, M.; Løye, A.F.; Mow, T.; Hornberg, J.J. 2013: A high content screening assay to predict human drug-induced liver injury during drug discovery. Journal of Pharmacological and Toxicological Methods 68(3): 302-313
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Shanina, N.A.; Lazareva, E.M.; Skorova, E.Y.; Chentsov, Y.S.; Smirnova, E.A. 2009: A high molecular weight polypeptide cross-reacting with the antibodies to the dynein heavy chain localizes to the subset of Golgi complex in higher plant cells. Cell Biology International 33(3): 290-300
Kahar, U.M.; Chan, K.-G.; Salleh, M.M.; Hii, S.M.; Goh, K.M. 2013: A high molecular-mass Anoxybacillus sp. SK3-4 amylopullulanase: characterization and its relationship in carbohydrate utilization. International Journal of Molecular Sciences 14(6): 11302-11318
Pannia, E.; Cho, C.E.; Kubant, R.; Sánchez-Hernández, D.; Huot, P.S.P.; Chatterjee, D.; Fleming, A.; Anderson, G.H. 2015: A high multivitamin diet fed to Wistar rat dams during pregnancy increases maternal weight gain later in life and alters homeostatic, hedonic and peripheral regulatory systems of energy balance. Behavioural Brain Research 278: 1-11
Ruhla, S.; Weickert, M.O.; Arafat, A.M.; Osterhoff, M.; Isken, F.; Spranger, J.; Schöfl, C.; Pfeiffer, A.F.H.; Möhlig, M. 2010: A high normal TSH is associated with the metabolic syndrome. Clinical Endocrinology 72(5): 696-701
Ishida, A.; Nakachi-Miyagi, M.; Kinjo, K.; Iseki, K.; Ohya, Y. 2014: A high normal ankle-brachial index is associated with proteinuria in a screened cohort of Japanese: the Okinawa Peripheral Arterial Disease Study. Journal of Hypertension 32(7): 1435-1443; Discussion 1443
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Hernández, J.é A.; Rodríguez, A.E.; González, M.; Benito, R.ío.; Fontanillo, C.; Sandoval, V.; Romero, M.; Martín-Núñez, G.; de Coca, A.G.ía.; Fisac, R.; Galende, J.; Recio, I.; Ortuño, F.; García, J.L.; de las Rivas, J.; Gutiérrez, N.C.; San Miguel, J.ús.F.; Hernández, J.ús.M.ía. 2009: A high number of losses in 13q14 chromosome band is associated with a worse outcome and biological differences in patients with B-cell chronic lymphoid leukemia. Haematologica 94(3): 364-371
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Kao, H.-W.; Sanada, M.; Liang, D.-C.; Lai, C.-L.; Lee, E.-H.; Kuo, M.-C.; Lin, T.-L.; Shih, Y.-S.; Wu, J.-H.; Huang, C.-F.; Ogawa, S.; Shih, L.-Y. 2011: A high occurrence of acquisition and/or expansion of C-CBL mutant clones in the progression of high-risk myelodysplastic syndrome to acute myeloid leukemia. Neoplasia 13(11): 1035-1042
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Moreno, L.; Lopez-Urbina, M.T.; Farias, C.; Domingue, G.; Donadeu, M.; Dungu, B.; García, H.H.; Gomez-Puerta, L.A.; Lanusse, C.; González, A.E. 2012: A high oxfendazole dose to control porcine cysticercosis: pharmacokinetics and tissue residue profiles. Food and Chemical Toxicology: An International Journal Published for the British Industrial Biological Research Association 50(10): 3819-3825
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Hess, E.P.; Russell, J.K.; Liu, P.-Y.; White, R.D. 2008: A high peak current 150-J fixed-energy defibrillation protocol treats recurrent ventricular fibrillation (VF) as effectively as initial VF. Resuscitation 79(1): 28-33
Guerra, A.; Fugazzola, L.; Marotta, V.; Cirillo, M.; Rossi, S.; Cirello, V.; Forno, I.; Moccia, T.; Budillon, A.; Vitale, M. 2012: A high percentage of BRAFV600E alleles in papillary thyroid carcinoma predicts a poorer outcome. Journal of Clinical Endocrinology and Metabolism 97(7): 2333-2340
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Hoshino, Y.; Sasaki, Y.; Koketsu, Y. 2009: A high percentage of pigs born dead in litters in high-, intermediate- and low-performing herds. Journal of Veterinary Medical Science 71(12): 1579-1583
Salemi, M.; Calogero, A.E.; Vicari, E.; Migliore, E.; Zaccarello, G.; Cosentino, A.; Amore, M.; Tricoli, D.; Castiglione, R.; Bosco, P.; Rappazzo, G. 2009: A high percentage of skin melanoma cells expresses SPANX proteins. American Journal of Dermatopathology 31(2): 182-186
Li, H.; Nickerson, L.D.; Xiong, J.; Zou, Q.; Fan, Y.; Ma, Y.; Shi, T.; Ge, J.; Gao, J.-H. 2014: A high performance 3D cluster-based test of unsmoothed fMRi data. Neuroimage 98: 537-546
Dhakras, D.; Gawli, Y.; Chhatre, S.; Wadgaonkar, P.; Ogale, S. 2014: A high performance all-organic flexural piezo-FET and nanogenerator via nanoscale soft-interface strain modulation. Physical Chemistry Chemical Physics: Pccp 16(41): 22874-22881
Li, J.; Zhao, Y.; Wang, N.; Guan, L. 2011: A high performance carrier for SnO2 nanoparticles used in lithium ion battery. Chemical Communications 47(18): 5238-5240
Lin, F.-S.; Shen, C.-P.; Sung, H.-Y.; Lam, Y.-Y.; Lin, J.-W.; Lai, F. 2013: A high performance cloud computing platform for mRNA analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2013: 1510-1513
Chen, J.-L.; Tsai, C.-W.; Chiang, M.-C.; Yang, C.-S. 2013: A high performance cloud-based protein-ligand docking prediction algorithm. Biomed Research International 2013: 909717
Franzini, M.; Bramanti, E.; Ottaviano, V.; Ghiri, E.; Scatena, F.; Barsacchi, R.; Pompella, A.; Donato, L.; Emdin, M.; Paolicchi, A. 2008: A high performance gel filtration chromatography method for gamma-glutamyltransferase fraction analysis. Analytical Biochemistry 374(1): 1-6
Liang, S.; Banerjee, P.P.; Edward, D.P. 2009: A high performance graphic and haptic curvilinear capsulorrhexis simulation system. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2009: 5092-5095
Karthikeyan, K.; Amaresh, S.; Kim, K.J.; Kim, S.H.; Chung, K.Y.; Cho, B.W.; Lee, Y.S. 2013: A high performance hybrid capacitor with Li2CoPO4F cathode and activated carbon anode. Nanoscale 5(13): 5958-5964
Shah, S.; Sharma, A.; Varandani, D.; Mehta, B.; Gupta, M.N. 2007: A high performance lipase preparation: characterization and atomic force microscopy. Journal of Nanoscience and Nanotechnology 7(6): 2157-2160
Zhang, X.-L.; Liu, L.-F.; Zhu, L.-Y.; Bai, Y.-J.; Mao, Q.; Li, S.-L.; Chen, S.-L.; Xu, H.-X. 2014: A high performance liquid chromatography fingerprinting and ultra high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry chemical profiling approach to rapidly find characteristic chemical markers for quality evaluation of dispensing granules, a case study on Chuanxiong Rhizoma. Journal of Pharmaceutical and Biomedical Analysis 88: 391-400
Loi, C.C.; Boo, H.C.; Mohammed, A.S.; Ariffin, A.A. 2011: A high performance liquid chromatography method for determination of furfural in crude palm oil. Food Chemistry 128(1): 223-226
Kang, X.; Wang, F.; Xie, Z.; Li, H. 2009: A high performance liquid chromatography method for simultaneous determination of rosiglitazone and gemfibrozil in human plasma. Journal of Chromatography. B Analytical Technologies in the Biomedical and Life Sciences 877(7): 645-648
Monge-Acuña, A.A.; Fornaguera-Trías, J. 2009: A high performance liquid chromatography method with electrochemical detection of gamma-aminobutyric acid, glutamate and glutamine in rat brain homogenates. Journal of Neuroscience Methods 183(2): 176-181
Saravanabhavan, G.; Blais, E.; Vincent, R.; Kumarathasan, P. 2010: A high performance liquid chromatography-electrochemical array method for the measurement of oxidative/nitrative changes in human urine. Journal of Chromatography. a 1217(19): 3269-3274
Mahadik, M.; Dhaneshwar, S.; Bhavsar, R. 2012: A high performance liquid chromatography-tandem mass spectrometric method for the determination of mefenamic acid in human plasma: application to pharmacokinetic study. Biomedical Chromatography: Bmc 26(10): 1137-1142
Lima, D.M.; Mundim, I.M.; Jardim, P.César.B.V.; Jardim, T.S.V.; Diniz, D.G.A.; Lima, E.M. 2009: A high performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) method using solid phase extraction for the simultaneous determination of plasma concentrations of enalapril and enalaprilate in hypertensive patients treated with different pharmaceutical formulations. Therapeutic Drug Monitoring 31(6): 710-716
Cho, K.-M.; Tsai, C.-W.; Chiu, Y.-S.; Yang, C.-S. 2014: A high performance load balance strategy for real-time multicore systems. Thescientificworldjournal 2014: 101529
Wu, Q.; Anderson, G.A.; Udseth, H.R.; Sherman, M.G.; Van Orden, S.; Chen, R.; Hofstadler, S.A.; Gorshkov, M.V.; Mitchell, D.W.; Rockwood, A.L.; Smith, R.D. 1996: A high performance low magnetic field internal electrospray ionization-fourier transform ion cyclotron resonance mass spectrometer. Journal of the American Society for Mass Spectrometry 7(9): 915-922
Legiret, F.ço.-E.; Sieben, V.J.; Woodward, E.M.S.; Abi Kaed Bey, S.K.; Mowlem, M.C.; Connelly, D.P.; Achterberg, E.P. 2013: A high performance microfluidic analyser for phosphate measurements in marine waters using the vanadomolybdate method. Talanta 116: 382-387
Ko, C-Yu.; Huang, J-Hua.; Raina, S.; Kang, W.P. 2013: A high performance non-enzymatic glucose sensor based on nickel hydroxide modified nitrogen-incorporated nanodiamonds. Analyst 138(11): 3201-3208
Taminiau, I.A.J.; Benningshof, O.W.B.; Jochemsen, R. 2009: A high performance normally closed solenoid-actuated cold valve. Review of Scientific Instruments 80(8): 086105
Rosenbluth, D.; Kravtsov, K.; Fok, M.P.; Prucnal, P.R. 2009: A high performance photonic pulse processing device. Optics Express 17(25): 22767-22772
Han, H. 2011: A high performance profile-biomarker diagnosis for mass spectral profiles. Bmc Systems Biology 5(Suppl 2): S5
Xie, Y.; Wei, L.; Li, Q.; Chen, Y.; Liu, H.; Yan, S.; Jiao, J.; Liu, G.; Mei, L. 2014: A high performance quasi-solid-state self-powered UV photodetector based on TiO2 nanorod arrays. Nanoscale 6(15): 9116-9121
Rosenegger, D.G.; Tran, C.H.T.; LeDue, J.; Zhou, N.; Gordon, G.R. 2014: A high performance, cost-effective, open-source microscope for scanning two-photon microscopy that is modular and readily adaptable. Plos one 9(10): E110475
Ni, K.-K.; Ospelkaus, S.; de Miranda, M.H.G.; Pe'er, A.; Neyenhuis, B.; Zirbel, J.J.; Kotochigova, S.; Julienne, P.S.; Jin, D.S.; Ye, J. 2008: A high phase-space-density gas of polar molecules. Science 322(5899): 231-235
Huijbregts, K.M.L.; de Jong, F.J.; van Marwijk, H.W.J.; Beekman, A.T.F.; Adèr, H.J.; van der Feltz-Cornelis, C.M. 2013: A high physical symptom count reduces the effectiveness of treatment for depression, independently of chronic medical conditions. Journal of Psychosomatic Research 74(3): 179-185
Geuskens, G.A.; Burdorf, A.; Barendregt, P.J.; Hazes, J.M.W. 2011: A high physical workload and high job demands hamper the good prognosis in physical functioning in persons with early inflammatory joint conditions. Rheumatology 50(4): 789-798
Yang, M.; Wada, M.; Zhang, M.; Kostarelos, K.; Yuge, R.; Iijima, S.; Masuda, M.; Yudasaka, M. 2013: A high poly(ethylene glycol) density on graphene nanomaterials reduces the detachment of lipid-poly(ethylene glycol) and macrophage uptake. Acta Biomaterialia 9(1): 4744-4753
Klimek, L.; Uhlig, J.; Mösges, R.; Rettig, K.; Pfaar, O. 2014: A high polymerized grass pollen extract is efficacious and safe in a randomized double-blind, placebo-controlled study using a novel up-dosing cluster-protocol. Allergy 69(12): 1629-1638
Baldi, I.; Vicari, P.; Di Cuonzo, D.; Zanetti, R.; Pagano, E.; Rosato, R.; Sacerdote, C.; Segnan, N.; Merletti, F.; Ciccone, G. 2008: A high positive predictive value algorithm using hospital administrative data identified incident cancer cases. Journal of Clinical Epidemiology 61(4): 373-379
Polk, J.E.; Goebel, D.M.; Snyder, J.S.; Schneider, A.C.; Johnson, L.K.; Sengupta, A. 2012: A high power ion thruster for deep space missions. Review of Scientific Instruments 83(7): 073306
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Shivananju, B.N.; Yamdagni, S.; Vasu, R.M.; Asokan, S. 2012: A high precision instrument to measure angular and binocular deviation introduced by aircraft windscreens by using a shadow casting technique. Review of Scientific Instruments 83(12): 123104
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Hasler, M.F.; Kemp, J.W.; Miller, W.H. 1947: A high precision source unit for spectrochemistry. Journal of the Optical Society of America 37(12): 990
Bellerby, R.G.J.; Olsen, A.; Johannessen, T.; Croot, P. 2002: A high precision spectrophotometric method for on-line shipboard seawater pH measurements: the automated marine pH sensor (AMpS). Talanta 56(1): 61-69
Taylor, M.J.; Perrais, D.; Merrifield, C.J. 2011: A high precision survey of the molecular dynamics of mammalian clathrin-mediated endocytosis. Plos Biology 9(3): E1000604
Dergachev, V.; DeSalvo, R.; Asadoor, M.; Bhawal, A.; Gong, P.; Kim, C.; Lottarini, A.; Minenkov, Y.; Murphy, C.; O'Toole, A.; Peña Arellano, F.E.; Rodionov, A.V.; Shaner, M.; Sobacchi, E. 2014: A high precision, compact electromechanical ground rotation sensor. Review of Scientific Instruments 85(5): 054502
Shibutani, M.; Maeda, K.; Nagahara, H.; Noda, E.; Ohtani, H.; Nishiguchi, Y.; Hirakawa, K. 2013: A high preoperative neutrophil-to-lymphocyte ratio is associated with poor survival in patients with colorectal cancer. Anticancer Research 33(8): 3291-3294
Aftabuzzaman, M.; Islam, A.K.M.A. 2011: A high pressure Ca-VI phase between 158 and 180 GPa: stability, electronic structure and superconductivity. Journal of Physics. Condensed Matter: An Institute of Physics Journal 23(10): 105701
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Gauthé, Béatrice.L.L.E.; Heron, A.J.; Seddon, J.M.; Ces, O.; Templer, R.H. 2009: A high pressure cell for simultaneous osmotic pressure and x-ray diffraction measurements. Review of Scientific Instruments 80(3): 035107
Kohlbrecher, J.; Bollhalder, A.; Vavrin, R.; Meier, G. 2007: A high pressure cell for small angle neutron scattering up to 500 MPa in combination with light scattering to investigate liquid samples. Review of Scientific Instruments 78(12): 125101
Hermida-Merino, D.; Portale, G.; Fields, P.; Wilson, R.; Bassett, S.P.; Jennings, J.; Dellar, M.; Gommes, C.; Howdle, S.M.; Vrolijk, B.C.M.; Bras, W. 2014: A high pressure cell for supercritical CO₂ on-line chemical reactions studied with X-ray techniques. Review of Scientific Instruments 85(9): 093905
Aksoy, R.; Selvi, E.; Knudson, R.; Ma, Y. 2009: A high pressure x-ray diffraction study of titanium disulfide. Journal of Physics. Condensed Matter: An Institute of Physics Journal 21(2): 025403
Gustafson, J.; Blomberg, S.; Martin, N.M.; Fernandes, V.; Borg, A.; Liu, Z.; Chang, R.; Lundgren, E. 2014: A high pressure x-ray photoelectron spectroscopy study of CO oxidation over Rh(100). Journal of Physics. Condensed Matter: An Institute of Physics Journal 26(5): 055003
Donenberg, T.; Lunn, J.; Curling, D.; Turnquest, T.; Krill-Jackson, E.; Royer, R.; Narod, S.A.; Hurley, J. 2011: A high prevalence of BRCA1 mutations among breast cancer patients from the Bahamas. Breast Cancer Research and Treatment 125(2): 591-596
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Chan, M.; Kelly, J.; Batterham, M.; Tapsell, L. 2014: A high prevalence of abnormal nutrition parameters found in predialysis end-stage kidney disease: is it a result of uremia or poor eating habits?. Journal of Renal Nutrition: the Official Journal of the Council on Renal Nutrition of the National Kidney Foundation 24(5): 292-302
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Shahsavan, S.; Emaneini, M.; Noorazar Khoshgnab, B.; Khoramian, B.; Asadollahi, P.; Aligholi, M.; Jabalameli, F.; Eslampour, M.A.; Taherikalani, M. 2012: A high prevalence of mupirocin and macrolide resistance determinant among Staphylococcus aureus strains isolated from burnt patients. Burns: Journal of the International Society for Burn Injuries 38(3): 378-382
Santos, L.C.; Bousquet, H.d.M.; Pereira, A.M.; Junqueira-Kipnis, A.P.; Kipnis, A.é 2010: A high prevalence of resistance in new tuberculosis cases of midwestern Brazil. Infection Genetics and Evolution: Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases 10(7): 1052-1057
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Sanz, D.J.; Acedo, A.; Infante, M.; Durán, M.; Pérez-Cabornero, L.ía.; Esteban-Cardeñosa, E.; Lastra, E.; Pagani, F.; Miner, C.; Velasco, E.A. 2010: A high proportion of DNA variants of BRCA1 and BRCA2 is associated with aberrant splicing in breast/ovarian cancer patients. Clinical Cancer Research: An Official Journal of the American Association for Cancer Research 16(6): 1957-1967
Terfa, M.T.; Solhaug, K.A.ør.; Gislerød, H.R.; Olsen, J.E.; Torre, S. 2013: A high proportion of blue light increases the photosynthesis capacity and leaf formation rate of Rosa × hybrida but does not affect time to flower opening. Physiologia Plantarum 148(1): 146-159
Brinkrolf, P.; Landmeier, S.; Altvater, B.; Chen, C.; Pscherer, S.; Rosemann, A.; Ranft, A.; Dirksen, U.; Juergens, H.; Rossig, C. 2009: A high proportion of bone marrow T cells with regulatory phenotype (CD4+CD25hiFoxP3+) in Ewing sarcoma patients is associated with metastatic disease. International Journal of Cancer 125(4): 879-886
Gervasoni, J-Pierre.; Balthasar, H.; Huissoud, Térèse.; Jeannin, Aé.; Dubois-Arber, Fçoise. 2012: A high proportion of users of low-threshold facilities with needle exchange programmes in Switzerland are currently on methadone treatment: implications for new approaches in harm reduction and care. International Journal on Drug Policy 23(1): 33-36
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Lin, J.; Tan, Q.; Wang, S. 2011: A high-resolution capillary isoelectric focusing method for the determination of therapeutic recombinant monoclonal antibody. Journal of Separation Science 34(14): 1696-1702
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McWethy, D.B.; Wilmshurst, J.M.; Whitlock, C.; Wood, J.R.; McGlone, M.S. 2014: A high-resolution chronology of rapid forest transitions following polynesian arrival in New Zealand. Plos one 9(11): E111328
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Wu, C.H.; Nomura, K.; Goldammer, T.; Hadfield, T.; Dalrymple, B.P.; McWilliam, S.; Maddox, J.F.; Womack, J.E.; Cockett, N.E. 2008: A high-resolution comparative radiation hybrid map of ovine chromosomal regions that are homologous to human chromosome 6 (HSA6). Animal Genetics 39(5): 459-467
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Endal, U.; Shen, Y.; Knut, A.; Gao, Y.; Haapasalo, M. 2011: A high-resolution computed tomographic study of changes in root canal isthmus area by instrumentation and root filling. Journal of Endodontics 37(2): 223-227
Yeh, J.-J.; Chen, S.C.-C.; Chen, C.-R.; Yeh, T.-C.; Lin, H.-K.; Hong, J.-B.; Wu, B.-T.; Wu, M.-T. 2014: A high-resolution computed tomography-based scoring system to differentiate the most infectious active pulmonary tuberculosis from community-acquired pneumonia in elderly and non-elderly patients. European Radiology 24(10): 2372-2384
Stoltz, D.; Stoltz, S.E.; Johansson, L.S.O. 2007: A high-resolution core-level photoemission study of the Au/4H-SiC(0001)-([Formula: see text]) interface. Journal of Physics. Condensed Matter: An Institute of Physics Journal 19(26): 266006
Xu, D.; Wu, W.; Ding, S.; Sun, Q.; Zhang, C. 2012: A high-resolution dialysis technique for rapid determination of dissolved reactive phosphate and ferrous iron in pore water of sediments. Science of the Total Environment 421-422: 245-252
Herrerías Gutiérrez, J.M.; Argüelles Arias, F.; Martín Herrera, L.; Montero Domínguez, J.M.; de Dios Vega, J.; Martín-Vivaldi Martínez, R.; Domínguez Macías, A.; Maldonado Eloy-García, J.; Sánchez Cantos, A.M.; Romero Gómez, M.; Márquez Galán, J.L. 2008: A high-resolution gastroenterology clinic in Andalusia: what is it, and how should it work. Revista Espanola de Enfermedades Digestivas: Organo Oficial de la Sociedad Espanola de Patologia Digestiva 100(1): 5-10
Yadav, R.K.; Tavakkoli, M.; Xie, M.; Girke, T.; Reddy, G.V. 2014: A high-resolution gene expression map of the Arabidopsis shoot meristem stem cell niche. Development 141(13): 2735-2744
Holeski, L.M.; Monnahan, P.; Koseva, B.; McCool, N.; Lindroth, R.L.; Kelly, J.K. 2014: A high-resolution genetic map of yellow monkeyflower identifies chemical defense QTLs and recombination rate variation. G3 4(5): 813-821