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Статті в журналах з теми "Mass-mapping"

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Автор: Grafiati

Опубліковано: 8 червня 2024

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1

Opuni, Kwabena F. M., Mahmoud Al-Majdoub, Yelena Yefremova, Reham F. El-Kased, Cornelia Koy, and Michael O. Glocker. "Mass spectrometric epitope mapping." Mass Spectrometry Reviews 37, no. 2 (July 12, 2016): 229–41. http://dx.doi.org/10.1002/mas.21516.

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2

Mendonça, Carlos A., and Carlos A. M. Chaves. "Mass-constrained basin basement mapping." GEOPHYSICS 86, no. 3 (April 21, 2021): G13—G21. http://dx.doi.org/10.1190/geo2020-0184.1.

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The irregular interface model setting side by side two dense homogeneous media has found many applications in gravity-data exploration such as for petroleum and gas in sedimentary basins, groundwater resources in buried paleochannels, characterization of abandoned landfills, and variable regolith-depth mapping. Despite its simplicity and wide range of applicability, the determination of the interface position from inverting surface gravity data configures an ill-posed problem requiring specialized regularizing procedures to produce reliable results. Common approaches to obtain stable and reliable solutions require a judicious choice of regularizing functionals, each of them able to convey a desired geologic attribute that the unknown interface is expected to feature. In assuming a style that the unknown interface may have, a mathematical procedure is elected to convey such an attribute when the interface is mapped from gravity data inversion. We have developed a different approach to the interface mapping problem by imposing a common constraint that all model solutions must have, meanwhile preventing oscillations for the interface to be mapped. As a constraint that the solutions must have, we fix the volume or the cross section for 2D structures that the anomalous density structure has. This volume (or 2D cross section) is determined by applying the mass excess theorem to the measured gravity data and assuming as known the density contrast caused by the two media paired by the interface. We find that this simple formulation for the interface-mapping problem is effective in imaging a variety of basin styles without introducing specific information about the interface attributes. Our technique is applied to invert previously published gravity data in cases with good drillhole control or with a known interface.

3

ROESLI, C., G. ELIA, and D. NERI. "Two-dimensional mass spectrometric mapping." Current Opinion in Chemical Biology 10, no. 1 (February 2006): 35–41. http://dx.doi.org/10.1016/j.cbpa.2005.12.017.

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4

Fiedorowicz, Pier, Eduardo Rozo, Supranta S. Boruah, Chihway Chang, and Marco Gatti. "KaRMMa – kappa reconstruction for mass mapping." Monthly Notices of the Royal Astronomical Society 512, no. 1 (February 21, 2022): 73–85. http://dx.doi.org/10.1093/mnras/stac468.

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ABSTRACT We present KaRMMa, a novel method for performing mass map reconstruction from weak-lensing surveys. We employ a fully Bayesian approach with a physically motivated lognormal prior to sample from the posterior distribution of convergence maps. We test KaRMMa on a suite of dark matter N-body simulations with simulated DES Y1-like shear observations. We show that KaRMMa outperforms the basic Kaiser–Squires mass map reconstruction in two key ways: (1) our best map point estimate has lower residuals compared to Kaiser–Squires; and (2) unlike the Kaiser–Squires reconstruction, the posterior distribution of KaRMMa maps is nearly unbiased in all summary statistics we considered, namely: one-point and two-point functions, and peak/void counts. In particular, KaRMMa successfully captures the non-Gaussian nature of the distribution of κ values in the simulated maps. We further demonstrate that the KaRMMa posteriors correctly characterize the uncertainty in all summary statistics we considered.

5

Holmes, D. F. "Mass mapping of extracellular matrix assemblies." Biochemical Society Transactions 23, no. 4 (November 1, 1995): 720–25. http://dx.doi.org/10.1042/bst0230720.

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6

Dominitz, A., and A. Tannenbaum. "Texture Mapping via Optimal Mass Transport." IEEE Transactions on Visualization and Computer Graphics 16, no. 3 (May 2010): 419–33. http://dx.doi.org/10.1109/tvcg.2009.64.

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7

Zhao, Yingming, and Brian T. Chait. "Protein Epitope Mapping By Mass Spectrometry." Analytical Chemistry 66, no. 21 (November 1994): 3723–26. http://dx.doi.org/10.1021/ac00093a029.

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8

Guszejnov, Dávid, and Philip F. Hopkins. "Mapping the core mass function to the initial mass function." Monthly Notices of the Royal Astronomical Society 450, no. 4 (May 20, 2015): 4137–49. http://dx.doi.org/10.1093/mnras/stv872.

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9

Xin Zhao, Zhengyu Su, Xianfeng David Gu, Arie Kaufman, Jian Sun, Jie Gao, and Feng Luo. "Area-Preservation Mapping using Optimal Mass Transport." IEEE Transactions on Visualization and Computer Graphics 19, no. 12 (December 2013): 2838–47. http://dx.doi.org/10.1109/tvcg.2013.135.

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10

Lu, Xiaojun, Michael R. DeFelippis, and Lihua Huang. "Linear epitope mapping by native mass spectrometry." Analytical Biochemistry 395, no. 1 (December 2009): 100–107. http://dx.doi.org/10.1016/j.ab.2009.08.018.

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11

Krishnapillai, Rajeev, and Abe Zeid. "Mapping Product Design Specification for Mass Customization." Journal of Intelligent Manufacturing 17, no. 1 (February 2006): 29–43. http://dx.doi.org/10.1007/s10845-005-5511-3.

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12

Bond, Doug, J. Craig Jenkins, Charles L. Taylor, and Kurt Schock. "Mapping Mass Political Conflict and Civil Society." Journal of Conflict Resolution 41, no. 4 (August 1997): 553–79. http://dx.doi.org/10.1177/0022002797041004004.

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13

Amaral, R. L. P. G., O. S. Ventura, L. O. Buffon, and J. V. Costa. "Topological mass mechanism and exact fields mapping." Journal of Physics A: Mathematical and General 39, no. 4 (January 11, 2006): 941–49. http://dx.doi.org/10.1088/0305-4470/39/4/014.

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14

Vasilescu, Julian, and Daniel Figeys. "Mapping protein–protein interactions by mass spectrometry." Current Opinion in Biotechnology 17, no. 4 (August 2006): 394–99. http://dx.doi.org/10.1016/j.copbio.2006.06.008.

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15

YAMADA, Naoyuki. "Peptide and Protein Epitope Mapping by Mass Spectrometry." Journal of the Mass Spectrometry Society of Japan 45, no. 3 (1997): 355–66. http://dx.doi.org/10.5702/massspec.45.355.

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16

Tremblay, Catherine Y., Zachary J. Kirsch, and Richard W. Vachet. "Epitope Mapping with Diethylpyrocarbonate Covalent Labeling-Mass Spectrometry." Analytical Chemistry 94, no. 2 (December 21, 2021): 1052–59. http://dx.doi.org/10.1021/acs.analchem.1c04038.

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17

Pallot, Judith, and Sofya Gavrilova. "Mapping the landscapes of the Stalinist mass repressions." Open Research Europe 2 (April 7, 2022): 44. http://dx.doi.org/10.12688/openreseurope.14410.1.

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In this article, we focus on the ways in which a variety of different carceral techniques used to punish and exploit people’s labour during the Stalin period (1927—1953) in the Union of Soviet Socialist Republics (USSR) created a distinctive landscape of repression. Using the tools of historical geographic information science (GIS) to map the material landscape, we foreground space in the discussion of the USSR’s exceptional history of repression. The ‘carceral conditions’ frame allows us to deconstruct boundaries erected over more than half a century of writing the history of the USSR that have maintained artificial distinctions between the victims and impacts of different punishment modalities. In the article, we follow the example of the Stanford Holocaust Geographies Project in combining quantitative and textual data with the spatial analytical tools of geovisualisation to reveal the patterns of events as the Stalinist repressive apparatus extended its reach across Soviet space. In fixing the geolocation of carceral institutions and layering the resultant pattern with different types of qualitative and quantitative information in the same visual space, we hope to counter some of the myths and generalizations that exist in the literature about the geography of Soviet gulag. We use the case study of Perm’ region in the Urals to highlight the spatiality of the production of the material landscape of repression in one region. Our aim is to position the USSR in the now substantial geographical literature discussing the twentieth century history of crimes against humanity and genocide and to suggest to historians that the geovisualisation of data can add a new dimension their studies of the Stalin period.

18

Zach, Meisel. "Mapping the frontiers of the nuclear mass surface." Journal of Physics: Conference Series 1668 (October 2020): 012026. http://dx.doi.org/10.1088/1742-6596/1668/1/012026.

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19

Witze, Eric S., William M. Old, Katheryn A. Resing, and Natalie G. Ahn. "Mapping protein post-translational modifications with mass spectrometry." Nature Methods 4, no. 10 (September 27, 2007): 798–806. http://dx.doi.org/10.1038/nmeth1100.

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20

Wall, J. S., and J. F. Hainfeld. "Mass Mapping with the Scanning Transmission Electron Microscope." Annual Review of Biophysics and Biophysical Chemistry 15, no. 1 (June 1986): 355–76. http://dx.doi.org/10.1146/annurev.bb.15.060186.002035.

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21

Flaxman, Hope A., and Christina M. Woo. "Mapping the Small Molecule Interactome by Mass Spectrometry." Biochemistry 57, no. 2 (November 10, 2017): 186–93. http://dx.doi.org/10.1021/acs.biochem.7b01038.

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22

Flanagan, Nina. "Mapping Epitopes with H/D-Ex Mass Spec." Genetic Engineering & Biotechnology News 31, no. 10 (May 15, 2011): 10–13. http://dx.doi.org/10.1089/gen.31.10.02.

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23

Beardsley, Richard L., and James P. Reilly. "Optimization of Guanidination Procedures for MALDI Mass Mapping." Analytical Chemistry 74, no. 8 (April 2002): 1884–90. http://dx.doi.org/10.1021/ac015613o.

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24

Wenner, P. G., R. J. Bell, F. H. W. van Amerom, S. K. Toler, J. E. Edkins, M. L. Hall, K. Koehn, R. T. Short, and R. H. Byrne. "Environmental chemical mapping using an underwater mass spectrometer." TrAC Trends in Analytical Chemistry 23, no. 4 (April 2004): 288–95. http://dx.doi.org/10.1016/s0165-9936(04)00404-2.

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25

STEPHENSON, A. "'Pariscope': Mapping Metropolitan Mythologies and Mass Media Circuitry." Oxford Art Journal 18, no. 1 (January 1, 1995): 160–65. http://dx.doi.org/10.1093/oxartj/18.1.160.

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26

Schneider, M. D., K. Y. Ng, W. A. Dawson, P. J. Marshall, J. E. Meyers, and D. J. Bard. "Probabilistic Cosmological Mass Mapping from Weak Lensing Shear." Astrophysical Journal 839, no. 1 (April 10, 2017): 25. http://dx.doi.org/10.3847/1538-4357/839/1/25.

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27

Boschi-Filho, H., and N. R. F. Braga. "QCD/String holographic mapping and glueball mass spectrum." European Physical Journal C 32, no. 4 (February 2004): 529–33. http://dx.doi.org/10.1140/epjc/s2003-01526-4.

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28

Harig, C., and F. J. Simons. "Mapping Greenland's mass loss in space and time." Proceedings of the National Academy of Sciences 109, no. 49 (November 19, 2012): 19934–37. http://dx.doi.org/10.1073/pnas.1206785109.

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29

Jaberian Hamedan, V., A. Adam, C. Blair, L. Ju, and C. Zhao. "Precision mapping of a silicon test mass birefringence." Applied Physics Letters 122, no. 6 (February 6, 2023): 064101. http://dx.doi.org/10.1063/5.0136869.

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Excellent mechanical and thermal properties of silicon make it a promising material for the test masses in future gravitational wave detectors. However, the birefringence of silicon test masses, due to impurity and residual stress during crystal growth or external stress, can reduce the interference contrast in an interferometer. Using the polarization–modulation approach and a scanning system, we mapped the birefringence of a float zone silicon test mass in the ⟨100⟩ crystal orientation to assess the suitability of such material for future gravitational wave detectors. Apart from the stress-induced birefringence at the supporting area due to the weight of the test mass, the high resolution birefringence map of the silicon test mass revealed a high birefringence feature in the test mass. At the central 40 mm area, birefringence is in the range of mid [Formula: see text] to low [Formula: see text], which satisfy the requirement for future gravitational wave detectors.

30

Takada, K., and K. Yamada. "Application of Dyson mapping to odd-mass nuclei." Nuclear Physics A 462, no. 3 (February 1987): 561–75. http://dx.doi.org/10.1016/0375-9474(87)90405-2.

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31

Moorthy, A. S., A. J. Kearsley, W. G. Mallard, and W. E. Wallace. "Mass spectral similarity mapping applied to fentanyl analogs." Forensic Chemistry 19 (June 2020): 100237. http://dx.doi.org/10.1016/j.forc.2020.100237.

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32

Hadžisejdić, Ita, Keding Cheng, John A. Wilkins, Werner Ens, and Kevin M. Coombs. "High-resolution mass spectrometric mapping of reovirus digestion." Rapid Communications in Mass Spectrometry 20, no. 3 (2006): 438–46. http://dx.doi.org/10.1002/rcm.2322.

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33

Hutchins, Paul D., Jason D. Russell, and Joshua J. Coon. "Mapping Lipid Fragmentation for Tailored Mass Spectral Libraries." Journal of The American Society for Mass Spectrometry 30, no. 4 (February 12, 2019): 659–68. http://dx.doi.org/10.1007/s13361-018-02125-y.

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34

Janiszewski, Mateusz, Xiaoyun Zhang, Lauri Uotinen, and Mikael Rinne. "Virtual reality learning system for remote rock mass mapping." IOP Conference Series: Earth and Environmental Science 1124, no. 1 (January 1, 2023): 012079. http://dx.doi.org/10.1088/1755-1315/1124/1/012079.

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Abstract Rock mass quality mapping is essential in rock engineering and mining projects. However, the current manual mapping approach and its teaching are restricted due to the dangerous nature of work near rock walls and the constraints of resources. Therefore, a virtual reality learning system for teaching remote mapping of rock mass quality was developed at Aalto University. Two rock wall sections of an underground tunnel and a roadside rock-cut were scanned using photogrammetry and imported as high-resolution textured 3D models. The user wears a head-mounted display and performs mapping using a pointing device. The system collects the measurements automatically and assists the user in rock mass mapping. Along with the development of the system, qualitative research was conducted to evaluate user performance in a gamified learning system. The results demonstrate that with proper game elements implemented, the learning system can be used to steer student behaviour towards the target range. Once set up, the VR system is a tireless, user-paced aid in training and teaching.

35

Muraoka, Mikio, and Hiroki Kamata. "OS05W0282 Sensitive mapping of nano-scale elasticity using contact resonance of a mass-concentrating AFM cantilever." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS05W0282. http://dx.doi.org/10.1299/jsmeatem.2003.2._os05w0282.

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36

Tlashadze, Giorgi, Levan Gorgidze, and Mamuka Natsvlishvili. "Physical-mechanical Properties of Construction Site Bedrocks of Headworks and Powerhouse of “Khobi 2 HPP” Hydrotechnical Complex." Works of Georgian Technical University, no. 1(527) (March 21, 2023): 75–85. http://dx.doi.org/10.36073/1512-0996-2023-1-75-85.

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Modern methods of rock evaluation, such as Rock Quality Index (RQD), Rock Mass Rating (RMR) and Rock Mass Classification System (Q), are used within the field of geotechnical surveys. RQD was determined by D.U. Deere in 1963, as a simple classification system of rock mass stability. While using RQD index five classes of rocks (A-E) are determined. Q value can be determined in different ways: during mapping in underground excavations, on the surface or alternatively – on basis of core description. The most accurate values are obtained during underground geological mapping. Dividing the underground excavations into several parts might be required during mapping, so that variation of Q value is moderate in each section, meaning that such variation should not exceed the rock class variation index according to the reinforcement scheme. During excavation works single blasting often represents natural section for individual mapping. A variation may take place in sections of several meters, but for showing this variation histograms can be used during mapping.

37

Che, Jun Hua, Qian Zeng, and Shu You Zhang. "The Functional Configuration Mapping for Cloud-Based Mass Customization Service Platform." Advanced Materials Research 490-495 (March 2012): 3003–7. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.3003.

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The successful application for cloud-based mass customization service platform critically lies in the precision and efficiency factor of the functional mapping solution. This paper brings up the functional solution model based on three mapping domains for functional configuration: functional domain, behavior domain and structural domain and studies the mapping solution algorithm in cloud-based mass customization service platform. Finally this research has been applied for customization product: elevator, and has improved the efficiency of functional solution in the actual manufacture.

38

Hankammer, Stephan, David Antons, Robin Kleer, and Frank T. Piller. "Researching Mass Customization: Mapping Hidden Structures and Development Trajectories." Academy of Management Proceedings 2016, no. 1 (January 2016): 10900. http://dx.doi.org/10.5465/ambpp.2016.10900abstract.

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39

Cho, Yi-Tzu, Hung Su, Ching-Ying Wu, Tiao-Lai Huang, Jingyueh Jeng, Min-Zong Huang, Deng-Chyang Wu, and Jentaie Shiea. "Molecular Mapping of Sebaceous Squalene by Ambient Mass Spectrometry." Analytical Chemistry 93, no. 49 (December 3, 2021): 16608–17. http://dx.doi.org/10.1021/acs.analchem.1c03983.

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40

Mastere, Mohamed, Brigitte Van-Vliet Lanoë, Lahsen Ait Brahim, and Meryem El Moulat. "A linear indexing approach to mass movements susceptibility mapping." Revue Internationale de Géomatique 25, no. 2 (2015): 245–65. http://dx.doi.org/10.3166/rig.25.245-265.

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41

Konarski, P., M. Miśnik, and A. Zawada. "Two-dimensional elemental mapping using glow discharge mass spectrometry." Journal of Analytical Atomic Spectrometry 31, no. 11 (2016): 2192–97. http://dx.doi.org/10.1039/c6ja00253f.

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42

Schmidt, Alexandre G. M., and Anderson L. de Jesus. "Mapping between charge-monopole and position-dependent mass systems." Journal of Mathematical Physics 59, no. 10 (October 2018): 102101. http://dx.doi.org/10.1063/1.5039622.

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43

Haakensen, Nils. "Glacier Mapping to Confirm Results from Mass-Balance Measurements." Annals of Glaciology 8 (1986): 73–77. http://dx.doi.org/10.3189/s0260305500001178.

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Annual mass-balance measurements have been made at a number of glaciers in Norway since the beginning of the 1960s, A detailed and reliable map is necessary as a base for field work and more than twenty glacier maps have been constructed photogrammetrically at scales of 1:10 000 or 1:20 000 since 1952. For some of the glaciers more than one map has been constructed and changes in glacier volume can be calculated, provided the maps have sufficient accuracy.For the glaciers, Nigardsbreen, Hellstugubreen, and Gråsubreen, two or more good maps are available and these form a good basis for comparisons and calculations of changes in volume between the years when the air photographs were taken.Comparisons have been made for Gråsubreen between 1968 and 1984, for Hellstugubreen between 1968 and 1980, and for Nigardsbreen between 1964 and 1984.The calculations are made by placing a 100 m grid on the glacier maps and comparing the altitude for corresponding points. The changes in height are regarded as representative for the 0.01 km2 glacier areas represented by each point.Results from the investigation have been used to check the accuracy in cumulative mass balance for corresponding periods.Repeated air photography, at intervals of 5—10 years, can be used in the future to find the cumulative mass balance for a great number of glaciers at lower cost than “normal” mass-balance work.

44

Jullo, E., and J. P. Kneib. "Multiscale cluster lens mass mapping - I. Strong lensing modelling." Monthly Notices of the Royal Astronomical Society 395, no. 3 (May 21, 2009): 1319–32. http://dx.doi.org/10.1111/j.1365-2966.2009.14654.x.

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45

Karty, Jonathan A., Marcia M. E. Ireland, Yves V. Brun, and James P. Reilly. "Artifacts and unassigned masses encountered in peptide mass mapping." Journal of Chromatography B 782, no. 1-2 (December 2002): 363–83. http://dx.doi.org/10.1016/s1570-0232(02)00550-0.

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46

de Jesus, Anderson L., and Alexandre G. M. Schmidt. "Mapping Between Charge-Dyon and Position-Dependent Mass Systems." Communications in Theoretical Physics 71, no. 10 (October 2019): 1261. http://dx.doi.org/10.1088/0253-6102/71/10/1261.

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47

Bark, Steven J., Nemone Muster, John R. Yates, and Gary Siuzdak. "High-Temperature Protein Mass Mapping Using a Thermophilic Protease." Journal of the American Chemical Society 123, no. 8 (February 2001): 1774–75. http://dx.doi.org/10.1021/ja002909n.

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48

Wilk, Zbigniew A., and David M. Hercules. "Organic and elemental ion mapping using laser mass spectrometry." Analytical Chemistry 59, no. 14 (July 1987): 1819–25. http://dx.doi.org/10.1021/ac00141a018.

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49

Haakensen, Nils. "Glacier Mapping to Confirm Results from Mass-Balance Measurements." Annals of Glaciology 8 (1986): 73–77. http://dx.doi.org/10.1017/s0260305500001178.

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Annual mass-balance measurements have been made at a number of glaciers in Norway since the beginning of the 1960s, A detailed and reliable map is necessary as a base for field work and more than twenty glacier maps have been constructed photogrammetrically at scales of 1:10 000 or 1:20 000 since 1952. For some of the glaciers more than one map has been constructed and changes in glacier volume can be calculated, provided the maps have sufficient accuracy. For the glaciers, Nigardsbreen, Hellstugubreen, and Gråsubreen, two or more good maps are available and these form a good basis for comparisons and calculations of changes in volume between the years when the air photographs were taken. Comparisons have been made for Gråsubreen between 1968 and 1984, for Hellstugubreen between 1968 and 1980, and for Nigardsbreen between 1964 and 1984. The calculations are made by placing a 100 m grid on the glacier maps and comparing the altitude for corresponding points. The changes in height are regarded as representative for the 0.01 km2 glacier areas represented by each point. Results from the investigation have been used to check the accuracy in cumulative mass balance for corresponding periods. Repeated air photography, at intervals of 5—10 years, can be used in the future to find the cumulative mass balance for a great number of glaciers at lower cost than “normal” mass-balance work.

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Hsieh, Yunsheng, Jiwen Chen, and Walter A. Korfmacher. "Mapping pharmaceuticals in tissues using MALDI imaging mass spectrometry." Journal of Pharmacological and Toxicological Methods 55, no. 2 (March 2007): 193–200. http://dx.doi.org/10.1016/j.vascn.2006.06.004.

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