187,168 research outputs found
SIMM: an integrated forecasting approach for the Mediterranean area
Many ‘high-impact’ meteorological, marine and hydrological events in the Mediterranean area are characterized by horizontal spatial scales of the order of 10–100 km. Such events are, sometimes, driven by complex dynamical processes involving planetary scale atmospheric flows. Several international programs (ALPEX, POEM, MAP, PYREX, MEDEX) have improved the understanding of some of these processes. However, because of the Mediterranean's geomorphological structure, characterized by mountain chains (e.g. the Alps), semi-enclosed sea basins and small river catchments, many problems remain. It is clear that such problems have to be faced in the context of analysis-prediction systems bridging the gap between global and local scales of motion. These systems should allow for an adequate representation of key dynamical processes at all the relevant scales of motion.
The Hydro-Meteorological-Marine System (‘Sistema Idro-Meteo-Mare’, SIMM) is a first step in developing an integrated system, adequately covering all scales of motion from global to local. A short description of the system is presented, highlighting scientific concepts behind design choices. A summary of the results of verification tests is also illustrated, together with a general evaluation of the whole process in planning, developing and running SIMM in order to assist future updates of the system, currently under development. Copyright © 2007 Royal Meteorological Societ
The sustainable infrastructure management model (SIMM)
Sustainability is a topical issue regarding the contemporary socio-economic development generally. Given that, the interdisciplinary field of engineering, science and technological advancement among others rests on its applications for improved services delivery. As such, sustainable infrastructure management is not left out in this category by integrating the sustainability ideals. This paper presents the sustainable infrastructure management model as applied in testing the oil and gas facility platforms in Nigeria. The use of various engineering principles in the existing world engenders a sustainable development on infrastructure systems management. Building services engineers and the infrastructure systems experts are persistently demanded in the design and fixing of serviceable infrastructure networks all over the world. Hence, complex mechanical, electromechanical systems and subsystems are modelled as closed loop processes that interrelate recursively. So, it is of necessity to understand the multiphysics of these systems for a complete model conceptualisation and examination expansion. This developments and case study are also presented. Indeed, two fundamental areas where SIMM is vital are given in this report: building services operation and the strategic management decisions concerning infrastructure systems. Such applications would require accurate simulation and/or modelling platforms for inbuilt reliability and value engineering appraisal. Amongst the benefits of SIMM are the provision of an enabling environment for the sustainable management of infrastructure systems and the use of engineering sustainability approach for the present and future generations.</p
The sustainable infrastructure management model (SIMM)
Sustainability is a topical issue regarding the contemporary socio-economic development generally. Given that, the interdisciplinary field of engineering, science and technological advancement among others rests on its applications for improved services delivery. As such, sustainable infrastructure management is not left out in this category by integrating the sustainability ideals. This paper presents the sustainable infrastructure management model as applied in testing the oil and gas facility platforms in Nigeria. The use of various engineering principles in the existing world engenders a sustainable development on infrastructure systems management. Building services engineers and the infrastructure systems experts are persistently demanded in the design and fixing of serviceable infrastructure networks all over the world. Hence, complex mechanical, electromechanical systems and subsystems are modelled as closed loop processes that interrelate recursively. So, it is of necessity to understand the multiphysics of these systems for a complete model conceptualisation and examination expansion. This developments and case study are also presented. Indeed, two fundamental areas where SIMM is vital are given in this report: building services operation and the strategic management decisions concerning infrastructure systems. Such applications would require accurate simulation and/or modelling platforms for inbuilt reliability and value engineering appraisal. Amongst the benefits of SIMM are the provision of an enabling environment for the sustainable management of infrastructure systems and the use of engineering sustainability approach for the present and future generations.</p
Research data supporting the publication "Gold(I)-Catalyzed Synthesis of 3‑Sulfenyl Pyrroles and Indoles by a Regioselective Annulation of Alkynyl Thioethers"
The NMR and MS data associated with the publication "Gold(I)-Catalyzed Synthesis of 3‑Sulfenyl Pyrroles and Indoles by a
Regioselective Annulation of Alkynyl Thioethers" by Peter E. Simm, Prakash Sekar, Jeffery Richardson, and Paul W. Davies
ACS Catalysis, DOI: 10.1021/acscatal.1c0145
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Macau: Scalable Bayesian Factorization with High-Dimensional Side Information Using MCMC
© 2017 IEEE. Bayesian matrix factorization is a method of choice for making predictions for large-scale incomplete matrices, due to availability of efficient Gibbs sampling schemes and its robustness to overfitting. In this paper, we consider factorization of large scale matrices with high-dimensional side information. However, sampling the link matrix for the side information with standard approaches costs O(F 3 ) time, where F is the dimensionality of the features. To overcome this limitation we, firstly, propose a prior for the link matrix whose strength is proportional to the scale of latent variables. Secondly, using this prior we derive an efficient sampler, with linear complexity in the number of non-zeros, O(N nz ), by leveraging Krylov subspace methods, such as block conjugate gradient, allowing us to handle million-dimensional side information. We demonstrate the effectiveness of our proposed method in drug-protein interaction prediction task.sponsorship: Jaak Simm, Adam Arany, Pooya Zakeri and Yves Moreau are funded by Research Council KU Leuven (CoE PFV/10/016 SymBioSys) and by Flemish Government (IOF, Hercules Stitching, iMinds Medical Information Technologies SBO 2015, IWT: O&O ExaScience Life Pharma; ChemBioBridge, Exaptation, PhD grants). (Research Council KU Leuven|CoE PFV/10/016 SymBioSys, Flemish Government (IOF), Flemish Government (Hercules Stitching), Flemish Government (iMinds Medical Information Technologies SBO), Flemish Government (IWT: O&O ExaScience Life Pharma), Flemish Government (ChemBioBridge PhD grant), Flemish Government (Exaptation, PhD grant))status: Publishe
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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