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  • 1
    Electronic Resource
    Electronic Resource
    A PC-based instrument of a modified differential normal pulse voltammetry with background current correction technique (1994)
    [S.l.] : American Institute of Physics (AIP)
    Review of Scientific Instruments 65 (1994), S. 1679-1685 
    Details
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: Instead of the fixed pulse durations in conventional differential normal pulse voltammetry, a PC-based instrument using adaptable pulse duration vectors for background current correction has been proposed and implemented. With this PC-based instrument, a sequence of pulse duration vectors is determined in an initial blank solution voltammetry by assigning a decay percentage constant to the charging current. These vectors are then used in the subsequent test solution in order to obtain a pure oxidation current response in a resulting voltammogram with its corresponding features. Experimental results are presented to show the effectiveness and advantages of the PC-based instrument for the measurements of dopamine in a phosphate buffered solution.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.1144859
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Deep donor levels in Sn-doped AlxGa1−xAs (1992)
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 71 (1992), S. 5952-5956 
    Details
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: The properties of the Sn-doped AlxGa1−xAs alloys with various compositions have been studied by deep level transient spectroscopy and photocapacitance methods. Two deep donor levels with the thermal activation energies of 0.19 and 0.32 eV are found in all of the samples. Detailed data for the thermal emission and capture activation energies, optical ionization energies, and their composition dependence are given for the first time. Because their electronic properties are similar to that of the typical Si DX level in AlxGa1−xAs, it is concluded that both Sn-related levels are the DX-like levels.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1063/1.350445
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    Paper (German National Licenses)
    Fulltext
  • 3
    Electronic Resource
    Electronic Resource
    Acoustic emission research on the fracture behaviour of plasma-sprayed Ni-Al coatings during bend testing
    Amsterdam : Elsevier
    Surface & Coatings Technology 30 (1987), S. 115-123 
    Details
    ISSN: 0257-8972
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0257-8972(87)90013-2
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    Paper (German National Licenses)
    Fulltext
  • 4
    Electronic Resource
    Electronic Resource
    Structural evolution in continuous-variation-of-incidence thin films: A computer simulation
    Amsterdam : Elsevier
    Thin Solid Films 176 (1989), S. 309-321 
    Details
    ISSN: 0040-6090
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
    URL: http://linkinghub.elsevier.com/retrieve/pii/0040-6090(89)90103-X
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    Paper (German National Licenses)
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  • 5
    Electronic Resource
    Electronic Resource
    The application of cluster analysis in X-ray diffraction phase analysis (1992)
    Copenhagen : International Union of Crystallography (IUCr)
    Applied crystallography online 25 (1992), S. 336-339 
    Details
    ISSN: 1600-5767
    Source: Crystallography Journals Online : IUCR Backfile Archive 1948-2001
    Topics: Geosciences , Physics
    Notes: This paper proposes a method using cluster analysis to classify X-ray diffraction lines of a multiphase mixture into different phases. This classification of lines is useful in both qualitative and quantitative phase analysis. An example of a three-phase mixture is given to illustrate this method.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1107/S0021889891012372
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    Paper (German National Licenses)
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  • 6
    Electronic Resource
    Electronic Resource
    Effects of the conductivity of sulfonated poly(phenylene oxide) lithium by the complexation of poly(ethylene oxide) (1996)
    New York, NY : Wiley-Blackwell
    Polymers for Advanced Technologies 7 (1996), S. 697-700 
    Details
    ISSN: 1042-7147
    Keywords: complexation ; sulfonated poly(phenylene oxide) lithium ; poly(ethylene oxide) ; conductivity ; Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: In the present paper, the structure and conductivity for the complex of sulfonated poly(phenylene oxide) lithium (SPPOLi) and poly(ethylene oxide) (PEG) were studied. Glass transition temperature change determined by differential scanning calorimeter analysis desmonstrated that the two components had some compatibility. X-ray diffraction showed that PEG could decrease the regularity of SPPOLi to some extent. The compatibility and PEG's effect on the regularity may be due to the interaction between the lithium ions of SPPOLi and the oxygen atoms of PEG. Under polarization by electric field, the bands between lithium ions and sulfonation groups relaxed. Meanwhile, the complexation of oxygen atoms could enhance the dissociation of the polymeric lithium salts. Then lithium ions were transported in the process of alternate complexing and decomplexing. The action between lithium ions and oxygen atoms could explain the improvement on the conductivity of SPPOLi.
    Additional Material: 5 Ill.
    Type of Medium: Electronic Resource
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    Paper (German National Licenses)
  • 7
    Electronic Resource
    Electronic Resource
    Studies on the blends of carbon dioxide copolymer. III. NBR/PPC systems (1996)
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Applied Polymer Science 61 (1996), S. 1479-1486 
    Details
    ISSN: 0021-8995
    Keywords: Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Notes: In this paper, the blends of the carbon dioxide copolymer, poly(propylene carbonate) (PPC), with nitrile rubber (NBR) were studied by DSC, DMA, TEM and TG. PPC can enhance the mechanical properties of NBR, while oil resistance and tensile set at break of NBR/PPC systems were as good as that of NBR. The coagent of triallylisocyanurate or maleic anhydride with carbon black can much improve the curing efficiency of dicumyl peroxide in NBR/PPC systems. © 1996 John Wiley & Sons, Inc.
    Additional Material: 8 Ill.
    Type of Medium: Electronic Resource
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    Paper (German National Licenses)
  • 8
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    A novel application of deep learning in extracting Earth's free oscillation (2023)
    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Details
    Publication Date: 2023-05-15
    Description: The normal modes (i.e. Earth's free oscillations) are long-period low-frequency seismic signals, which are excited by a variety of factors, such as earthquakes, volcanic eruption, landslide, avalanche and so on, are an essential vehicle for global seismic tomography to elucidate large-scale heterogeneities within the deep Earth. Accurate extraction of signals on normal mode spectrum is a prerequisite for the imaging inversion, providing the differences between the observed and synthetic normal mode spectrum. However, the normal mode spectrum has great complexity due to many structural factors within the Earth, so unacceptable false and dismissed selections of the signals always occur, which hinder the development of exploration of the deep Earth’s deep interior based on normal mode data. To address these problems, we build a deep-learning based neural network, named ModeNet, which is capable of precisely and efficient selecting the frequency windows to cover the target normal modal signals on a noisy spectrum, which could outperform the conventional spectrum-FLEXWIN method without relying on comparisons with synthetics. We also define our own method to evaluate the performance of ModeNet on the testing set and obtain a precision as high as ~0.98. Moreover, ModeNet achieves good generalization in processing seismograms of different events with different noise levels, components, and time window data, as well as superconductivity-gravimeter observations. Therefore, ModeNet could be implemented as a valuable tool for the future deep Earth inversion.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 9
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    Efficient Bayesian inversion of planetary structures based on normal mode analysis using generative neural networks (2023)
    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Details
    Publication Date: 2023-07-03
    Description: Bayesian inversion based on normal modes analysis is an essential approach to understanding the internal structure of the Earth and other planets. While the traditional Markov Chain Monte Carlo (MCMC) method provides a feasible approach to obtain the posterior probability density distributions of model parameters, it demands a considerable amount of forward calculation and is slow in terms of computational efficiency. In order to overcome the limitations of the MCMC method, a new approach to Bayesian inversion using generative neural networks has been proposed in this study, which can deliver outcomes equivalent in accuracy to those of the MCMC method with less sample learning. The study proposed three types of Bayesian inversion neural network models based on popular generative neural networks, including GAN, flow model, and energy model, and evaluated their accuracy and discreteness of inversion results. By using the generative neural network method based on actual lunar normal mode observation data, this study has provided posterior probability density distribution of one-dimensional density and velocity structure parameters of the Moon, along with the optimal parameter values.The results demonstrate the potential of using generative neural networks in Bayesian inversion and provide a new direction for future research in this field.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 10
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    Atypical neurological complications of ipilimumab therapy in patients with metastatic melanoma (2014)
    Oxford University Press
    Details
    Publication Date: 2014-03-18
    Description: Background Ipilimumab is a novel FDA-approved recombinant human monoclonal antibody that blocks cytotoxic T-lymphocyte antigen-4 and has been used to treat patients with metastatic melanoma. Immune-related neurological adverse effects include inflammatory myopathy, aseptic meningitis, posterior reversible encephalopathy syndrome, Guillain-Barré syndrome, myasthenia gravis–type syndrome, sensorimotor neuropathy, and inflammatory enteric neuropathy. To date, there is no report for ipilimumab-induced chronic inflammatory demyelinating polyneuropathy (CIDP), transverse myelitis (TM), or concurrent myositis and myasthenia gravis–type syndrome. Our objective is to raise early recognition of atypical neurological adverse events and to share our therapeutic approach. Methods We report 3 cases of metastatic melanoma treated with ipilimumab in which the patients developed CIDP, TM, and concurrent myositis and myasthenia gravis–type syndrome, respectively, at the MD Anderson Cancer Center between July 2012 and June 2013. Patients consented to release of medical information for publication/educational purposes. Results Our 3 cases of metastatic melanoma treated with ipilimumab developed CIDP, TM, and concurrent myositis and myasthenia gravis–type syndrome, respectively. The median time to onset of immune-related adverse events following ipilimumab treatment ranged from 1 to 2 weeks. Ipilimumab was discontinued due to the severe neurological symptoms. Plasmapheresis was initiated in the patients with CIDP and concurrent myositis and myasthenia gravis–type syndrome; high-dose intravenous steroids were given to the patient with TM, and significant clinical response was demonstrated. Conclusions Ipilimumab could induce a wide spectrum of neurological adverse effects. Our findings support the standard treatment of withholding or discontinuing ipilimumab. Plasmapheresis or high-dose intravenous steroids may be considered as the initial choice of treatment for severe ipilimumab-related neurological adverse events. Improvement of neurological symptoms may be seen within 2 weeks.
    Print ISSN: 1522-8517
    Electronic ISSN: 1523-5866
    Topics: Medicine
    Published by Oxford University Press on behalf of The Society for Neuro-Oncology (SNO).
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