Next article The Description of a Random Field by Means of Conditional Probabilities and Conditions of Its RegularityP. L. DobruschinP. L. Dobruschinhttps://doi.org/10.1137/1113026PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] I. A. Ibragimov and , Yu. V. Linnik, Independent and Stationarily Connected Variables, Izd-vo "Nauka", Moscow, 1965, (In Russian.) Google Scholar[2] B. Rjauba, The central limit theorem for sums of series of weakly dependent random variables, Litovsk. Mat. Sb., 2 (1962), 193–205, (In Russian.) MR0169274 (29:6526) 0129.31201 Google Scholar[3] Yu. A. Rozanov, On Gaussian random fields with given conditional distributions, Theory Prob. Applications, 12 (1967), 381–391 10.1137/1112050 0212.20101 LinkGoogle Scholar Next article FiguresRelatedReferencesCited ByDetails A Functional Central Limit Theorem for Polaron Path MeasuresCommunications on Pure and Applied Mathematics, Vol. 9 | 12 August 2022 Cross Ref Description of random fields by systems of conditional distributionsArmenian Journal of Mathematics | 3 June 2022 Cross Ref Central limit theorem for Gibbs measures on path spaces including long range and singular interactions and homogenization of the stochastic heat equationThe Annals of Applied Probability, Vol. 32, No. 3 | 1 Jun 2022 Cross Ref An explicit Dobrushin uniqueness region for Gibbs point processes with repulsive interactionsJournal of Applied Probability, Vol. 59, No. 2 | 30 March 2022 Cross Ref Decimations for two-dimensional Ising and rotator modelsJournal of Mathematical Physics, Vol. 63, No. 3 | 1 Mar 2022 Cross Ref Stem and topological entropy on Cayley treesMathematical Physics, Analysis and Geometry, Vol. 25, No. 1 | 22 December 2021 Cross Ref Twelve tales in mathematical physics: An expanded Heineman prize lectureJournal of Mathematical Physics, Vol. 63, No. 2 | 1 Feb 2022 Cross Ref Finitary codings for the random-cluster model and other infinite-range monotone modelsElectronic Journal of Probability, Vol. 27, No. none | 1 Jan 2022 Cross Ref Lack of phase transitions in staggered magnetic systems. 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Previous article Next article On the Construction and Comparison of Difference SchemesGilbert StrangGilbert Stranghttps://doi.org/10.1137/0705041PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] J. Barkley Rosser, A Runge-Kutta for all seasons, SIAM Rev., 9 (1967), 417–452 10.1137/1009069 MR0219242 0243.65041 LinkISIGoogle Scholar[2] Robert D. Richtmyer and , K. W. Morton, Difference methods for initial-value problems, Second edition. Interscience Tracts in Pure and Applied Mathematics, No. 4, Interscience Publishers John Wiley & Sons, Inc., New York-London-Sydney, 1967xiv+405 MR0220455 0155.47502 Google Scholar[3] Peter D. Lax and , Burton Wendroff, Difference schemes for hyperbolic equations with high order of accuracy, Comm. Pure Appl. Math., 17 (1964), 381–398 MR0170484 0233.65050 CrossrefISIGoogle Scholar[4] Samuel Z. 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Math., 6 (1964), 37–46 10.1007/BF01386051 MR0166942 0143.38204 CrossrefGoogle Scholar[13] Peter Henrici, Discrete variable methods in ordinary differential equations, John Wiley & Sons Inc., New York, 1962xi+407 MR0135729 0112.34901 Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Semiexplicit symplectic integrators for non-separable Hamiltonian systems23 September 2022 | Mathematics of Computation, Vol. 92, No. 339 Cross Ref A combined volume penalization / selective frequency damping approach for immersed boundary methods applied to high-order schemesJournal of Computational Physics, Vol. 472 Cross Ref Numerical computation for rogue waves in the coupled nonlinear Schrödinger equations with the coherent coupling effect29 April 2022 | International Journal of Computer Mathematics, Vol. 99, No. 12 Cross Ref A second-order maximum bound principle preserving operator splitting method for the Allen–Cahn equation with applications in multi-phase systemsMathematics and Computers in Simulation, Vol. 202 Cross Ref Ultrafast laser matter interactions: modeling approaches, challenges, and prospects27 September 2022 | Modelling and Simulation in Materials Science and Engineering, Vol. 30, No. 8 Cross Ref An efficient IMEX-DG solver for the compressible Navier-Stokes equations for non-ideal gasesJournal of Computational Physics, Vol. 471 Cross Ref Implications of CO 2 mass transport dynamics for large-scale CCS in basalt formationsInternational Journal of Greenhouse Gas Control, Vol. 121 Cross Ref A charge-preserving compact splitting method for solving the coupled stochastic nonlinear Schrödinger equationsApplied Numerical Mathematics, Vol. 181 Cross Ref Local effects in vortex-flame interactions: Implications for turbulent premixed flame scaling and observablesCombustion and Flame, Vol. 245 Cross Ref Hamiltonian preserving nonlinear opticsPhysica D: Nonlinear Phenomena, Vol. 439 Cross Ref A fully coupled, fully implicit simulation method for unsteady flames using Jacobian approximation and clusteringCombustion and Flame, Vol. 245 Cross Ref Reactive Transport Modeling with a Coupled OpenFOAM®-PHREEQC Platform7 October 2022 | Transport in Porous Media, Vol. 145, No. 2 Cross Ref Multirate Exponential Rosenbrock MethodsVu Thai Luan, Rujeko Chinomona, and Daniel R. 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Previous article Next article Non-Parametric Estimation of a Multivariate Probability DensityV. A. EpanechnikovV. A. Epanechnikovhttps://doi.org/10.1137/1114019PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] Emanuel Parzen, On estimation of a probability density function and mode, Ann. Math. Statist., 33 (1962), 1065–1076 MR0143282 0116.11302 CrossrefGoogle Scholar[2] Murray Rosenblatt, Remarks on some nonparametric estimates of a density function, Ann. Math. Statist., 27 (1956), 832–837 MR0079873 0073.14602 CrossrefGoogle Scholar[3] G. M. Manija, Remarks on non-parametric estimates of a two-dimensional density function, Soobšč. Akad. Nauk Gruzin. SSR, 27 (1961), 385–390 MR0143303 Google Scholar[4] E. A. Nadaraya, Estimation of a bivariate probability density, Soobshch. Akad. Nauk Gruz. SSR, 36 (1964), 267–268 Google Scholar[5] R. E. Bellman, , I. Glicksberg and , O. A. 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Previous article Next article Approximate Integration of Stochastic Differential EquationsG. N. Mil'shtejnG. N. Mil'shtejnhttps://doi.org/10.1137/1119062PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] I. I. Gikhman and , A. V. Skorokhod, Introduction to the Theory of Random Processes, Izd-vo "Nauka", Moscow, 1965, (In Russian.) Google Scholar[2] I. I. Gikhman and , A. V. Skorokhod, Stochastic Differential Equations, Springer, New York, 1972 0242.60003 CrossrefGoogle Scholar[3] R. Z. Khas'minskii, Stability of Systems of Differential Equations under Random Perturbations of their Parameters, Izd-vo "Nauka", Moscow, 1969, (In Russian.) Google Scholar[4] E. Hills and , R. Phillips, Functional Analysis and Semigroups, American Mathematical Society, Providence, RI., 1957 0078.10004 Google Scholar[5] R. L. Stratonovich, Conditional Markov processes and their application to the theory of optimal control, Translated from the Russian by R. N. and N. B. McDonough for Scripta Technica, Inc. Modern Analytic and Computational Methods in Science and Mathematics, No. 7, American Elsevier Publishing Co., Inc., New York, 1968xvii+350 MR0221860 (36:4912) 0159.46804 Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Simulating systems of Itô SDEs with split-step $ (\alpha, \beta) $-Milstein schemeAIMS Mathematics, Vol. 8, No. 2 Cross Ref Impact of flow field resolution on produced water transport in Lagrangian and Eulerian modelsMarine Pollution Bulletin, Vol. 182 Cross Ref Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models19 April 2022 | Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 84, No. 4 Cross Ref Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry12 August 2022 | Entropy, Vol. 24, No. 8 Cross Ref Planktos: An Agent-Based Modeling Framework for Small Organism Movement and Dispersal in a Fluid Environment with Immersed Structures10 June 2022 | Bulletin of Mathematical Biology, Vol. 84, No. 7 Cross Ref Pricing path-dependent exotic options with flow-based generative networksApplied Soft Computing, Vol. 124 Cross Ref Estimation of drift and diffusion functions from unevenly sampled time-series data27 July 2022 | Physical Review E, Vol. 106, No. 1 Cross Ref The Generalized Gamma Distribution as a Useful RND under Heston's Stochastic Volatility Model26 May 2022 | Journal of Risk and Financial Management, Vol. 15, No. 6 Cross Ref On the approximation and simulation of iterated stochastic integrals and the corresponding Lévy areas in terms of a multidimensional Brownian motion26 May 2021 | Stochastic Analysis and Applications, Vol. 40, No. 3 Cross Ref Brownian particles driven by spatially periodic noise1 March 2022 | The European Physical Journal E, Vol. 45, No. 3 Cross Ref The Seven-League Scheme: Deep Learning for Large Time Step Monte Carlo Simulations of Stochastic Differential Equations23 February 2022 | Risks, Vol. 10, No. 3 Cross Ref 1 January 2022 Cross Ref Learning Stochastic Optimal Policies via Gradient DescentIEEE Control Systems Letters, Vol. 6 Cross Ref A Closed Form Solution for Pricing Variance Swaps Under the Rescaled Double Heston Model27 November 2021 | Computational Economics, Vol. 11 Cross Ref Cell-cell communication through FGF4 generates and maintains robust proportions of differentiated cell types in embryonic stem cells5 November 2021 | Development, Vol. 148, No. 21 Cross Ref On Multilevel and Control Variate Monte Carlo Methods for Option Pricing under the Rough Heston Model17 November 2021 | Mathematics, Vol. 9, No. 22 Cross Ref Mathematical modelling of the second wave of COVID-19 infections using deterministic and stochastic SIDR models7 July 2021 | Nonlinear Dynamics, Vol. 106, No. 2 Cross Ref A Local and Time Resolution of the COVID-19 Propagation—A Two-Dimensional Approach for Germany Including Diffusion Phenomena to Describe the Spatial Spread of the COVID-19 Pandemic7 July 2021 | Physics, Vol. 3, No. 3 Cross Ref Deep learning-based least squares forward-backward stochastic differential equation solver for high-dimensional derivative pricing26 March 2021 | Quantitative Finance, Vol. 21, No. 8 Cross Ref Information Transmission in Delay-Coupled Neuronal Circuits in the Presence of a Relay Population29 July 2021 | Frontiers in Systems Neuroscience, Vol. 15 Cross Ref Efficient simulation methods for the Quasi-Gaussian term-structure model with volatility smiles: practical applications of the KLNV-scheme4 February 2021 | Quantitative Finance, Vol. 21, No. 7 Cross Ref Convergence, non-negativity and stability of a new Lobatto IIIC-Milstein method for a pricing option approach based on stochastic volatility model18 September 2020 | Japan Journal of Industrial and Applied Mathematics, Vol. 38, No. 2 Cross Ref Active noise-driven particles under space-dependent friction in one dimension4 May 2021 | Physical Review E, Vol. 103, No. 5 Cross Ref Transmission delays and frequency detuning can regulate information flow between brain regions15 April 2021 | PLOS Computational Biology, Vol. 17, No. 4 Cross Ref On the MS-stability of predictor–corrector schemes for stochastic differential equationsMathematics and Computers in Simulation, Vol. 180 Cross Ref Deep Splitting Method for Parabolic PDEsChristian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, and Ariel Neufeld13 September 2021 | SIAM Journal on Scientific Computing, Vol. 43, No. 5AbstractPDF (580 KB)A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line FailureJacob Roth, David A. 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Previous article Next article A Least Squares Estimate of Satellite AttitudeGrace WahbaGrace Wahbahttps://doi.org/10.1137/1007077PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout"A Least Squares Estimate of Satellite Attitude." 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Previous article Next article Convergence Conditions for Ascent MethodsPhilip WolfePhilip Wolfehttps://doi.org/10.1137/1011036PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAboutAbstractLiberal conditions on the steps of a “descent” method for finding extrema of a function are given; most known results are special cases.[1] Haskell B. Curry, The method of steepest descent for non-linear minimization problems, Quart. Appl. Math., 2 (1944), 258–261 MR0010667 0061.26801 CrossrefGoogle Scholar[2] Augustine Cauchy, Méthode générale pour la résolution des systèmes d'équations simultanées, C.R. Acad. Sci., 25 (1847), 536–538 Google Scholar[3] A. A. Goldstein, Minimizing functionals on normed-linear spaces, SIAM J. Control, 4 (1966), 81–89 10.1137/0304008 MR0196900 0147.12701 LinkGoogle Scholar[4] A. A. Goldstein, Cauchy's method of minimization, Numer. 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SIAM control, 5 (1967), 268–274 10.1137/0305018 0158.18805 LinkGoogle Scholar[14] Philip Wolfe, on the convergence of gradient methods under constraints, Rep., RZ-204, IBM watson research center, yorktown heights, new york, 1966 Google Scholar Previous article Next article FiguresRelatedReferencesCited ByDetails Two efficient modifications of AZPRP conjugate gradient method with sufficient descent propertyJournal of Inequalities and Applications, Vol. 2022, No. 1 | 10 January 2022 Cross Ref Optimal Transport Based Seismic Inversion:Beyond Cycle SkippingCommunications on Pure and Applied Mathematics, Vol. 75, No. 10 | 1 April 2021 Cross Ref A robust BFGS algorithm for unconstrained nonlinear optimization problemsOptimization, Vol. 17 | 19 September 2022 Cross Ref Two Methods for the Implicit Integration of Stiff Reaction SystemsComputational Methods in Applied Mathematics, Vol. 0, No. 0 | 14 September 2022 Cross Ref Simple and fast convergent procedure to estimate recursive path analysis modelBehaviormetrika, Vol. 107 | 6 September 2022 Cross Ref Adaptive three-term PRP algorithms without gradient Lipschitz continuity condition for nonconvex functionsNumerical Algorithms, Vol. 91, No. 1 | 20 January 2022 Cross Ref A Hybrid Stochastic Deterministic Algorithm for Solving Unconstrained Optimization ProblemsMathematics, Vol. 10, No. 17 | 23 August 2022 Cross Ref Pseudospectral methods and iterative solvers for optimization problems from multiscale particle dynamicsBIT Numerical Mathematics, Vol. 48 | 11 August 2022 Cross Ref An outlier-resistant κ -generalized approach for robust physical parameter estimationPhysica A: Statistical Mechanics and its Applications, Vol. 600 | 1 Aug 2022 Cross Ref An Active Set Trust-Region Method for Bound-Constrained OptimizationBulletin of the Iranian Mathematical Society, Vol. 48, No. 4 | 27 July 2021 Cross Ref Advancing Three-Dimensional Coupled Water Quality Model of Marine Ranches: Model Development, Global Sensitivity Analysis, and Optimization Based on Observation SystemJournal of Marine Science and Engineering, Vol. 10, No. 8 | 27 July 2022 Cross Ref Robust regression against heavy heterogeneous contaminationMetrika, Vol. 16 | 1 July 2022 Cross Ref A new class of nonlinear conjugate gradient coefficients for unconstrained optimizationAsian-European Journal of Mathematics, Vol. 15, No. 07 | 14 October 2021 Cross Ref New iterative conjugate gradient method for nonlinear unconstrained optimizationRAIRO - Operations Research, Vol. 56, No. 4 | 29 July 2022 Cross Ref Optimizing Oblique Projections for Nonlinear Systems using TrajectoriesSamuel E. 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Rankings of scholarly journals based on citation data are often met with skepticism by the scientific community. Part of the skepticism is due to disparity between the common perception of journals' prestige and their ranking based on citation counts. A more serious concern is the inappropriate use of journal rankings to evaluate the scientific influence of authors. This paper focuses on analysis of the table of cross-citations among a selection of Statistics journals. Data are collected from the Web of Science database published by Thomson Reuters. Our results suggest that modelling the exchange of citations between journals is useful to highlight the most prestigious journals, but also that journal citation data are characterized by considerable heterogeneity, which needs to be properly summarized. Inferential conclusions require care in order to avoid potential over-interpretation of insignificant differences between journal ratings. Comparison with published ratings of institutions from the UK's Research Assessment Exercise shows strong correlation at aggregate level between assessed research quality and journal citation `export scores' within the discipline of Statistics.
In spite of the tremendous increase in the rate at which protein structures are being determined, there is still an enormous gap between the numbers of known DNA-derived sequences and the numbers of three-dimensional structures. In order to shed light on the biological functions of the molecules, researchers often resort to comparative molecular modeling. Earlier work has shown that when the sequence alignment is in error, then the comparative model is guaranteed to be wrong. In addition, loops, the sites of insertions and deletions in families of homologous proteins, are exceedingly difficult to model. Thus, many of the current problems in comparative molecular modeling are minor versions of the global protein folding problem. In order to assess objectively the current state of comparative molecular modeling, 13 groups submitted blind predictions of seven different proteins of undisclosed tertiary structure. This assessment shows that where sequence identity between the target and the template structure is high (> 70%), comparative molecular modeling is highly successful. On the other hand, automated modeling techniques and sophisticated energy minimization methods fail to improve upon the starting structures when the sequence identity is low (approximately 30%). Based on these results it appears that insertions and deletions are still major problems. Successfully deducing the correct sequence alignment when the local similarity is low is still difficult. We suggest some minimal testing of submitted coordinates that should be required of authors before papers on comparative molecular modeling are accepted for publication in journals.
A review of the mechanisms of speciation is performed. The mechanisms of the evolution of species, taking into account the feedback of the state of the environment and mechanisms of the emergence of complexity, are considered. It is shown that these mechanisms, at the molecular level, cannot work steadily in terms of classical mechanics. Quantum mechanisms of changes in the genome, based on the long-range interaction potential between biologically important molecules, are proposed as one of possible explanation. Different variants of interactions of the organism and environment based on molecular recognition and leading to new species origins are considered. Experiments to verify the model are proposed. This bio-physical study is completed by the general operational model of based on quantum information theory. The latter is applied to model epigenetic evolution.
This study examines the social media uptake of scientific journals on two different platforms - X and WeChat - by comparing the adoption of X among journals indexed in the Science Citation Index-Expanded (SCIE) with the adoption of WeChat among journals indexed in the Chinese Science Citation Database (CSCD). The findings reveal substantial differences in platform adoption and user engagement, shaped by local contexts. While only 22.7% of SCIE journals maintain an X account, 84.4% of CSCD journals have a WeChat official account. Journals in Life Sciences & Biomedicine lead in uptake on both platforms, whereas those in Technology and Physical Sciences show high WeChat uptake but comparatively lower presence on X. User engagement on both platforms is dominated by low-effort interactions rather than more conversational behaviors. Correlation analyses indicate weak-to-moderate relationships between bibliometric indicators and social media metrics, confirming that online engagement reflects a distinct dimension of journal impact, whether on an international or a local platform. These findings underscore the need for broader social media metric frameworks that incorporate locally dom
An exploratory, descriptive analysis is presented of the national orientation of scientific, scholarly journals as reflected in the affiliations of publishing or citing authors. It calculates for journals covered in Scopus an Index of National Orientation (INO), and analyses the distribution of INO values across disciplines and countries, and the correlation between INO values and journal impact factors. The study did not find solid evidence that journal impact factors are good measures of journal internationality in terms of the geographical distribution of publishing or citing authors, as the relationship between a journal's national orientation and its citation impact is found to be inverse U-shaped. In addition, journals publishing in English are not necessarily internationally oriented in terms of the affiliations of publishing or citing authors; in social sciences and humanities also USA has their nationally oriented literatures. The paper examines the extent to which nationally oriented journals entering Scopus in earlier years, have become in recent years more international. It is found that in the study set about 40 per cent of such journals does reveal traces of internati
Overlay journals are characterised by their articles being published on open access repositories, often already starting in their initial preprint form as a prerequisite for submission to the journal prior to initiating the peer-review process. In this study we aimed to identify currently active overlay journals and examine their characteristics. We utilised an explorative web search and contacted key service providers for additional information. The final sample consisted of 34 overlay journals. While the results show that new overlay journals have been actively established within recent years, the current presence of overlay journals remains diminutive compared to the overall number of open access journals. Most overlay journals publish articles in natural sciences, mathematics or computer sciences, and are commonly published by groups of academics rather than formal organisations. They may also rank highly within the traditional journal citation metrics. None of the investigated journals required fees from authors, which is likely related to the cost-effective aspects of the overlay publishing model. Both the growth in adoption of open access preprint repositories and researcher
Using the Scopus dataset (1996-2007) a grand matrix of aggregated journal-journal citations was constructed. This matrix can be compared in terms of the network structures with the matrix contained in the Journal Citation Reports (JCR) of the Institute of Scientific Information (ISI). Since the Scopus database contains a larger number of journals and covers also the humanities, one would expect richer maps. However, the matrix is in this case sparser than in the case of the ISI data. This is due to (i) the larger number of journals covered by Scopus and (ii) the historical record of citations older than ten years contained in the ISI database. When the data is highly structured, as in the case of large journals, the maps are comparable, although one may have to vary a threshold (because of the differences in densities). In the case of interdisciplinary journals and journals in the social sciences and humanities, the new database does not add a lot to what is possible with the ISI databases.
The understanding of molecular cell biology requires insight into the structure and dynamics of networks that are made up of thousands of interacting molecules of DNA, RNA, proteins, metabolites, and other components. One of the central goals of systems biology is the unraveling of the as yet poorly characterized complex web of interactions among these components. This work is made harder by the fact that new species and interactions are continuously discovered in experimental work, necessitating the development of adaptive and fast algorithms for network construction and updating. Thus, the "reverse-engineering" of networks from data has emerged as one of the central concern of systems biology research. A variety of reverse-engineering methods have been developed, based on tools from statistics, machine learning, and other mathematical domains. In order to effectively use these methods, it is essential to develop an understanding of the fundamental characteristics of these algorithms. With that in mind, this chapter is dedicated to the reverse-engineering of biological systems. Specifically, we focus our attention on a particular class of methods for reverse-engineering, namely th
Abstract Experiments were conducted to determine the solubilities of H2O and CO2 and the nature of their mixing behavior in basaltic liquid at pressures and temperature relevant to seqfloor eruption. Mid-ocean ridge basaltic (MORB) liquid was equilibrated at 1200°C with pure H2O at pressures of 176–717 bar and H2O—CO2 vapor at pressures up to 980 bar. Concentrations and speciation of H2O and CO2 dissolved in the quenched glasses were measured using IR spectroscopy. Molar absorptivities for the 4500 cm−1 band of hydroxyl groups and the 5200 and 1630 cm−1 bands of molecular water are 0⋅67±0⋅03, 0⋅62±0⋅07, and 25±3 l/mol-cm, respectively. These and previously determined molar absorptivities for a range of silicate melt compositions correlate positively and linearly with the concentration of tetrahedral cations (Si+Al). The speciation of water in glass quenched from vapor-saturated basaltic melt is similar to that determined by Silver & Stolper (Journal of Petrology30, 667–709, 1989) in albitic glass and can be fitted by their regular ternary solution model using the coefficients for albitic glasses. Concentrations of molecular water measured in the quenched basaltic glasses are proportional to f H2O in all samples regardless of the composition of the vapor, demonstrating that the activity of molecular water in basaltic melts follows Henry's law at these pressures. A best fit to our data and existing higher-pressure water solubility data (Khitarov et al., Geochemistry5, 479–492, 1959; Hamilton et al., Journal of Petrology5, 21–39, 1964), assuming Henrian behavior for molecular water and that the dependence of molecular water content on total water content can be described by the regular solution model, gives estimates for the Vo, mH2O of 12±1 cm3/mol and for the 1-bar water solubility of 0⋅11 wt%. Concentrations of CO2 dissolved as carbonate in the melt for pure CO2-saturated and mixed H2O-CO2-saturated experiments are a simple function of fCO2 These results suggest Henrian behavior for the activity of carbonate in basaltic melt and do not support the widely held view that water significantly enhances the solution of carbon dioxide in basaltic melts. Using a ΔVo, mr of 23 cm3/mol (Pan et al., Geochimica et Cosmochimica Acta55, 1587–1595, 1991), the solubility of carbonate in the melt at 1 bar and 1200°C is 0⋅5 p.p.m. Our revised determination of CO2 solubility is ∼20% higher than that reported by Stolper & Holloway (Earth and Planetary Science Letters87, 397–408, 1988).
Using three years of the Journal Citation Reports (2011, 2012, and 2013), indicators of transitions in 2012 (between 2011 and 2013) are studied using methodologies based on entropy statistics. Changes can be indicated at the level of journals using the margin totals of entropy production along the row or column vectors, but also at the level of links among journals by importing the transition matrices into network analysis and visualization programs (and using community-finding algorithms). Seventy-four journals are flagged in terms of discontinuous changes in their citations; but 3,114 journals are involved in "hot" links. Most of these links are embedded in a main component; 78 clusters (containing 172 journals) are flagged as potential "hot spots" emerging at the network level. An additional finding is that PLoS ONE introduced a new communication dynamics into the database. The limitations of the methodology are elaborated using an example. The results of the study indicate where developments in the citation dynamics can be considered as significantly unexpected. This can be used as heuristic information; but what a "hot spot" in terms of the entropy statistics of aggregated cit
Defining and measuring internationality as a function of influence diffusion of scientific journals is an open problem. There exists no metric to rank journals based on the extent or scale of internationality. Measuring internationality is qualitative, vague, open to interpretation and is limited by vested interests. With the tremendous increase in the number of journals in various fields and the unflinching desire of academics across the globe to publish in "international" journals, it has become an absolute necessity to evaluate, rank and categorize journals based on internationality. Authors, in the current work have defined internationality as a measure of influence that transcends across geographic boundaries. There are concerns raised by the authors about unethical practices reflected in the process of journal publication whereby scholarly influence of a select few are artificially boosted, primarily by resorting to editorial maneuvres. To counter the impact of such tactics, authors have come up with a new method that defines and measures internationality by eliminating such local effects when computing the influence of journals. A new metric, Non-Local Influence Quotient(NLI