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  • 1
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    Society of Exploration Geophysicists (SEG)
    Publication Date: 2019
    Description: 〈span〉〈div〉Abstract〈/div〉We have developed a novel framework for combining physics-based forward models and neural networks to advance seismic processing and inversion algorithms. Migration is an effective tool in seismic data processing and imaging. Over the years, the scope of these algorithms has broadened; today, migration is a central step in the seismic data processing workflow. However, no single migration technique is suitable for all kinds of data and all styles of acquisition. There is always a compromise on the accuracy, cost, and flexibility of these algorithms. On the other hand, machine-learning algorithms and artificial intelligence methods have been found immensely successful in applications in which big data are available. The applicability of these algorithms is being extensively investigated in scientific disciplines such as exploration geophysics with the goal of reducing exploration and development costs. In this context, we have used a special kind of unsupervised recurrent neural network and its variants, Hopfield neural networks and the Boltzmann machine, to solve the problems of Kirchhoff and reverse time migrations. We use the network to migrate seismic data in a least-squares sense using simulated annealing to globally optimize the cost function of the neural network. The weights and biases of the neural network are derived from the physics-based forward models that are used to generate seismic data. The optimal configuration of the neural network after training corresponds to the minimum energy of the network and thus gives the reflectivity solution of the migration problem. Using synthetic examples, we determine that (1) Hopfield neural networks are fast and efficient and (2) they provide reflectivity images with mitigated migration artifacts and improved spatial resolution. Specifically, the presented approach minimizes the artifacts that arise from limited aperture, low subsurface illumination, coarse sampling, and gaps in the data.〈/span〉
    Print ISSN: 2324-8858
    Electronic ISSN: 2324-8866
    Topics: Geosciences
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  • 2
    Publication Date: 2018
    Description: 〈p〉Achieving high catalytic performance with the lowest possible amount of platinum is critical for fuel cell cost reduction. Here we describe a method of preparing highly active yet stable electrocatalysts containing ultralow-loading platinum content by using cobalt or bimetallic cobalt and zinc zeolitic imidazolate frameworks as precursors. Synergistic catalysis between strained platinum-cobalt core-shell nanoparticles over a platinum-group metal (PGM)–free catalytic substrate led to excellent fuel cell performance under 1 atmosphere of O〈sub〉2〈/sub〉 or air at both high-voltage and high-current domains. Two catalysts achieved oxygen reduction reaction (ORR) mass activities of 1.08 amperes per milligram of platinum (A mg〈sub〉Pt〈/sub〉〈sup〉–1〈/sup〉) and 1.77 A mg〈sub〉Pt〈/sub〉〈sup〉–1〈/sup〉 and retained 64% and 15% of initial values after 30,000 voltage cycles in a fuel cell. Computational modeling reveals that the interaction between platinum-cobalt nanoparticles and PGM-free sites improves ORR activity and durability.〈/p〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-04-01
    Description: Glucocorticoids remain the cornerstone of treatment for inflammatory conditions, but their utility is limited by a plethora of side effects. One of the key goals of immunotherapy across medical disciplines is to minimize patients’ glucocorticoid use. Increasing evidence suggests that variations in the adaptive immune response play a critical role...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 4
    Publication Date: 2018
    Description: 〈p〉Achieving high catalytic performance with the lowest amount of platinum is critical in fuel cell cost reduction. We describe a method of preparing highly active yet stable electrocatalysts containing ultralow Pt content using Co or Co/Zn zeolitic imidazolate frameworks as precursors. Synergistic catalysis between strained Pt-Co core-shell nanoparticles over a platinum-group-metal-free (PGM-free) catalytic substrate led to excellent fuel cell performance under 1 atmosphere of O〈sub〉2〈/sub〉 or air at both high voltage and high current domains. Two catalysts achieved the oxygen reduction reaction (ORR) mass activities of 1.08 A mg〈sub〉Pt〈/sub〉〈sup〉–1〈/sup〉/1.77 A mg〈sub〉Pt〈/sub〉〈sup〉–1〈/sup〉 and retained 64%/15% of initial values after 30,000 voltage cycles in fuel cell. Computational modeling reveals that the interaction between Pt-Co and PGM-free sites improves ORR activity and durability.〈/p〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Natural Sciences in General
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  • 5
    Publication Date: 2018-12-14
    Description: Achieving high catalytic performance with the lowest possible amount of platinum is critical for fuel cell cost reduction. Here we describe a method of preparing highly active yet stable electrocatalysts containing ultralow-loading platinum content by using cobalt or bimetallic cobalt and zinc zeolitic imidazolate frameworks as precursors. Synergistic catalysis between strained platinum-cobalt core-shell nanoparticles over a platinum-group metal (PGM)–free catalytic substrate led to excellent fuel cell performance under 1 atmosphere of O 2 or air at both high-voltage and high-current domains. Two catalysts achieved oxygen reduction reaction (ORR) mass activities of 1.08 amperes per milligram of platinum (A mg Pt –1 ) and 1.77 A mg Pt –1 and retained 64% and 15% of initial values after 30,000 voltage cycles in a fuel cell. Computational modeling reveals that the interaction between platinum-cobalt nanoparticles and PGM-free sites improves ORR activity and durability.
    Keywords: Chemistry, Materials Science
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2015-06-13
    Description: Blood gas and tissue pH regulation depend on the ability of the brain to sense CO2 and/or H(+) and alter breathing appropriately, a homeostatic process called central respiratory chemosensitivity. We show that selective expression of the proton-activated receptor GPR4 in chemosensory neurons of the mouse retrotrapezoid nucleus (RTN) is required for CO2-stimulated breathing. Genetic deletion of GPR4 disrupted acidosis-dependent activation of RTN neurons, increased apnea frequency, and blunted ventilatory responses to CO2. Reintroduction of GPR4 into RTN neurons restored CO2-dependent RTN neuronal activation and rescued the ventilatory phenotype. Additional elimination of TASK-2 (K(2P)5), a pH-sensitive K(+) channel expressed in RTN neurons, essentially abolished the ventilatory response to CO2. The data identify GPR4 and TASK-2 as distinct, parallel, and essential central mediators of respiratory chemosensitivity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kumar, Natasha N -- Velic, Ana -- Soliz, Jorge -- Shi, Yingtang -- Li, Keyong -- Wang, Sheng -- Weaver, Janelle L -- Sen, Josh -- Abbott, Stephen B G -- Lazarenko, Roman M -- Ludwig, Marie-Gabrielle -- Perez-Reyes, Edward -- Mohebbi, Nilufar -- Bettoni, Carla -- Gassmann, Max -- Suply, Thomas -- Seuwen, Klaus -- Guyenet, Patrice G -- Wagner, Carsten A -- Bayliss, Douglas A -- HL074011/HL/NHLBI NIH HHS/ -- HL108609/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 12;348(6240):1255-60. doi: 10.1126/science.aaa0922. Epub 2015 Jun 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA. ; Institute of Physiology, University of Zurich, Zurich, CH-8057, Switzerland. ; Institute of Veterinary Physiology, University of Zurich, Zurich, CH-8057, Switzerland. Centre de Recherche du CHU de Quebec, Departement de Pediatrie, Faculte de Medecine, Universite Laval, Quebec, QC, Canada. ; Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA. Department of Physiology, Hebei Medical University, Shijiazhuang, Hebei, 050017, China. ; Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA. School of Medical Sciences, University of New South Wales, New South Wales 2052, Australia. Department of Neurology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA. ; Novartis Institutes for Biomedical Research, Basel, CH-4002, Switzerland. ; Institute of Veterinary Physiology, University of Zurich, Zurich, CH-8057, Switzerland. ; Institute of Physiology, University of Zurich, Zurich, CH-8057, Switzerland. Wagnerca@access.uzh.ch bayliss@virginia.edu. ; Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA. Wagnerca@access.uzh.ch bayliss@virginia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26068853" target="_blank"〉PubMed〈/a〉
    Keywords: Acidosis, Respiratory/genetics/physiopathology ; Animals ; Carbon Dioxide/*physiology ; Female ; Gene Deletion ; Male ; Mice ; Mice, Inbred BALB C ; Mice, Inbred C57BL ; Mice, Mutant Strains ; Neurons/metabolism/physiology ; Potassium Channels, Tandem Pore Domain/genetics/*physiology ; Receptors, G-Protein-Coupled/antagonists & inhibitors/genetics/*physiology ; *Respiration ; Trapezoid Body/cytology/metabolism/*physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2015-03-15
    Description: Seismic velocity models are found, along with uncertainty estimates, for 11 sites in the Middle East by jointly modelling Ps and Sp receiver functions and surface (Rayleigh) wave group velocity dispersion. The approach performs a search for models that satisfy goodness-of-fit criteria guided by a variant of simulated annealing and uses statistical tools to assess these products of searches. These tools, a parameter correlation matrix and marginal posterior probability density (PPD) function, allow us to evaluate quantitatively the constraints that each data type imposes on model parameters and to identify portions of each model that are well-constrained relative to other portions. This joint modelling technique, which we call ‘multi-objective optimization for seismology’, does not require a good starting solution, although such a model can be incorporated easily, if available, and can reduce the computation time significantly. Applying the process described above to broadband seismic data reveals that crustal thickness varies from 15 km beneath Djibouti (station ATD) to 45 km beneath Saudi Arabia (station RAYN). A pronounced low velocity zone for both Vp and Vs is present at a depth of ~12 km beneath station KIV located in northern part of greater Caucasus, which may be due to the presence of a relatively young volcano. Similarly, we also noticed a 6-km-thick low velocity zone for Vp beginning at 20 km depth beneath seismic station AGIN, on the Anatolian plateau, while positive velocity gradients prevail elsewhere in eastern Turkey. Beneath station CSS, located in Cyprus, an anomalously slow layer is found in the uppermost mantle, which may indicate the presence of altered lithospheric material. Crustal P - and S -wave velocities beneath station D2, located in the northeastern portion of central Zagros, range between 5.2–6.2 and 3.2–3.8 km s –1 , respectively. In Oman, we find a Moho depth of 34.0 ± 1.0 km and 25.0 ± 1.0 to 30.0 ± 1.0 km beneath stations S02 and S04, respectively.
    Keywords: Seismology
    Print ISSN: 0956-540X
    Electronic ISSN: 1365-246X
    Topics: Geosciences
    Published by Oxford University Press on behalf of The Deutsche Geophysikalische Gesellschaft (DGG) and the Royal Astronomical Society (RAS).
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  • 8
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 104 (1982), S. 7658-7659 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 105 (1983), S. 4501-4501 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Inorganic chemistry 21 (1982), S. 3136-3140 
    ISSN: 1520-510X
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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