Academic literature on the topic 'King’s (2013b) methodology'

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Journal articles on the topic "King’s (2013b) methodology"

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Kluzek, Mark. "A practical guide to e-journal and e-book supply – a UK perspective." Interlending & Document Supply 42, no. 1 (February 11, 2014): 13–15. http://dx.doi.org/10.1108/ilds-09-2013-0026.

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Purpose – The purpose of this paper is to report on current interlending and document delivery of e-books and e-journals in the UK and analyse the challenges encountered in such practices, using the experiences at King's College London as an example. Design/methodology/approach – The author uses a case study approach. Findings – Most UK libraries and higher education institutions negotiate the usage terms for their e-resources through Jisc's NESLI2 model license agreement. While the terms of this agreement work relatively well for document delivery of e-journal articles, allowing for secure electronic document transmission under prescribed circumstances, the interlending of e-books remains problematic. Research limitations/implications – The paper provides insight into how UK document supply services can better use electronic holdings to offset the costs of requesting. It discusses the dilemma of e-books and potential solutions. Practical implications – This will enable UK library professionals to better use e-resources in a legally compliant way for the purpose of document delivery. It will explain to non-UK library professionals how supplying from e-resources works in the UK. Originality/value – The paper provides insight into how UK document supply services can better use electronic holdings to offset the costs of requesting. It discusses the dilemma of e-books and potential solutions.
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Bristol-Alagbariya, Edward T. "Aboriginal Ancient Grand Bonny Kingdom of Niger Delta in the Framework of its Primordial House System of Governance and Natural Law towards Sustainable Development in the Kingdom." Global Journal of Politics and Law Research 10, no. 3 (March 15, 2022): 1–32. http://dx.doi.org/10.37745/gjplr.2013/vol10n3pp132.

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The Primordial House System of Governance of Primaeval Niger Delta’s Bonny Kingdom, enhanced by natural law, features as the bedrock of the civilization and good governance (GG) in the Kingdom. The Primordial House System of Governance of Ancient Grand Bonny Kingdom (Ibanise), which is comprised of present-day Bonny Kingdom and Opobo Kingdom, was originated and institutionalized by the Founding Ancestors of the Ancient Kingdom, led by three hierarchical categories of paramount natural rulers of the three tiers of government of the Kingdom, during the Kingdom’s aboriginal era. The hierarchical categories are Ikpangi-Sibidapu (Institutionalized Lineage Heads), Amadapu (Community/District Heads and thus helpmates to Kings/Monarchs [Amanyanapu]), and Amanyanabo (owner of the land/King). The posts, positions or offices of these hierarchical categories, which have been in existence from time immemorial in Bonny Kingdom, are those of honour, traditional public service, trust, social responsibility and statesmanship, which were originated, systematized and institutionalized by the Founding Ancestors of the Kingdom towards the wellbeing of the people, Houses and entire Kingdom. This study employs socio-legal methodology to examine the Primordial House System of Bonny Kingdom and the role of natural law, namely proto-natural law, during the aboriginal era of the Kingdom, before Opobo Kingdom was established from it parent Bonny Kingdom, during the Kingdom’s Civil War of 1869/70. It discusses the premier natural rulers of aboriginal Bonny Kingdom, as well as four generations of Okoloama Ingie KiriFajie, namely Bonny Kingdom (Ibanise), comprised of Fourteen Lineages/Families/Houses. On this note, from a historiographical background, the study makes a case for GG, fair play, social justice and harmonious ways of life in Bonny Kingdom, based on the good, transparent, responsible and accountable stewardship of traditional rulers, towards the wellbeing of the people and sustainable development of the Kingdom, particularly in the realm of apex, peak or paramount traditional rulership of the three tiers of government of the Kingdom, namely the Lineage, Country-House and overall Kingdom-wide tiers of traditional governance in the Kingdom. Besides, this study demonstrates how the aboriginal era of Bonny Kingdom underscores the Kingdom as a classic African primordial sovereign state and civilization, as well as a pride of Ancestral Ijaw nation, which contributed to the development and advancement of Primaeval Niger Delta region and beyond.
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Book chapters on the topic "King’s (2013b) methodology"

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Longo-Somoza, Monica. "Knowledge, Innovation, and Profitability." In Managerial Strategies for Business Sustainability During Turbulent Times, 140–59. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2716-9.ch008.

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This chapter studies the identification of the profile of knowledge-intensive firms, analyzing if their innovation activity is a characteristic related with their profitability and employing as framework the ‘Resource-based view of the firm (RBV)'. Using a sample of 202 Spanish biotechnology companies, drawn from SABI database, the author has identified these firms' available data until 31st December, 2013. It has been used the cluster analysis methodology rarely employed in the preceding literature to characterise the firms of the sample. The empirical analysis results clarify the profile of the analysed firms, helping stakeholders and policy-makers to understand the dynamics of these kinds of firms and making strategic decisions accordingly over their characteristics. This would help them to grow in an orderly way and, thus, promote socio-economic changes to improve competitiveness and economic growth.
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Conference papers on the topic "King’s (2013b) methodology"

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Le Cunff, Cédric, Jean-Michel Heurtier, Loïc Piriou, Christian Berhault, Timothée Perdrizet, David Teixeira, Gilles Ferrer, and Jean-Christophe Gilloteaux. "Fully Coupled Floating Wind Turbine Simulator Based on Nonlinear Finite Element Method: Part I — Methodology." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10780.

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In the present paper, a new fully coupled simulator based on DeepLines™ software is described in order to address floating wind turbines dynamic simulation. It allows its user to take into account either separately or together the hydrodynamic and aerodynamic effects on one or several floating wind turbines. This simulator includes a non linear beam finite elements formulation to model the structural components — blades, tower, drivetrain, mooring lines and umbilicals — for both HAWT and VAWT layouts and advanced hydrodynamic capabilities to define all kinds of floating units and complex environmental loadings. The floating supports are defined with complete hydrodynamic databases computed with a seakeeping program. The aerodynamic loads acting on the turbine rotor are dynamically computed by an external aerodynamic library, which first release includes BEM (blade element moment for HAWTs) and SSM (single streamtube method for VAWTs) methods. The integration in time is performed with an implicit Newmark integration scheme.
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Demol, Thibault, Jean-Pierre Izard, and Nicolas Tartare. "Efficient Probabilistic Calculation of a Thermal Transient on a 3D FE Model With Variable Heat Exchange Coefficient." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97674.

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Probabilistic calculations are often used to evaluate reliability in nuclear industry. One of their main difficulties is that failure probabilities are, in this domain, very low and therefore their computations are very long. The speed of the calculations depends on the probabilistic algorithm and the complexity of the physical problem (usually modeled by a finite element analysis). The optimization of the probabilistic algorithms benefits from a wealth of literature but the physical problem is often very simplified by a lot of approximations. This paper develops a methodology to avoid some approximations. The geometry of the problem is often brought back to a 1D or 2D problem. Here, large 3D mesh can still be used thanks to transfer functions. This requires the linearity of the problem and especially a constant heat transfer coefficient for a thermo-elastic analysis. This limitation has been removed. This article’s focus is on methodology but qualitative results of a probabilistic brittle fracture application of a reactor pressure vessel (RPV) in ferritic steel are given. Other kinds of analysis can benefit from similar methodology.
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Hashim, Muhammad, Hidekazu Yoshikawa, Takeshi Matsuoka, and Ming Yang. "Reliability Monitor for PWR Safety System Using FMEA and Go-Flow Methodology: Application of Risk Monitor for Nuclear Power Plants." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15027.

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Author’s proposed risk monitor system of Nuclear Power Plant (NPP) is based on the idea of Plant Defense-in-Depth (DiD) risk monitor and reliability monitor to monitor what degree of safety functions incorporated in the plant system is maintained by multiple barriers of Defense-in-Depth (DiD). In the risk monitor system, the range of risk state is not limited in core damage accident but includes all kinds of dangerous states brought by severe accident. In present study, method of the reliability monitor of a risk monitor system is applied to the PWR safety system in order to evaluate the risk state numerically by pursuing all conditions of reliability evaluation given by plant DiD risk monitor. Large break LOCA is taken as an initiating accident event and the implementation of method of the reliability monitor is discussed in detail for single loop PWR safety system by considering the Multilevel Flow Model (MFM), Failure Mode and Effect Analysis (FMEA), and the qualitative reliability evaluation by Fault Tree Analysis (FTA) and the dynamic reliability evaluation by GO-FLOW. The summary of reliability results of PWR safety subsystems are also presented.
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Birvydienė, Rosita, Algirdas Butkus, Arūnas Būga, Ramunas Dedela, Ricardas Kolosovskis, Boleslovas Krikštaponis, Arvydas Musteikis, et al. "Final Results of Establishment of the Geodetic Vertical Second Order Network of Lithuania." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.166.

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The methodology of all kinds of geodetic measurements of the Geodetic Vertical Second Order Network, the information on the observation data received and main results of the accuracy estimation and adjustment of the network are presented. In 2006 the development of the Geodetic Vertical First Order Network of Lithuania was completed. It was the basis to adopt the Height System of Lithuania (LAS07). The densification of the Geodetic Vertical First Order Network started in 2010 by development of the Geodetic Vertical Second Order Network. The Second Order Network consists of 74 levelling lines, and total length of them is 3087 km. In the period of 2010–2013 the 16 levelling lines (814 km) were observed. Rest of levelling lines were observed in 2013–2016. Total number of benchmarks is 2099. The levelling was executed by digital levels Trimble DiNi12 and coded rods Nedo LD13. All ground benchmarks were positioned by GPS receivers Trimble 5700 and Trimble Zephyr Geodetic antennas. LitPOS stations served as fiducial points. The gravity accelerations at all benchmarks were observed by gravimeters Scintrex CG-5. The levellings of the Second Order Network carried out is characterized by high precision: the double run of one kilometre levelling RMS error does not exceeds 0.7 mm. The adjustments of the second order levelling lines applying least square method were executed separately in each region outlined by the First Order network lines and border of a country.
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Cerri, Giovanni, Stefano Mazzoni, and Coriolano Salvini. "Steam Cycle Simulator for CHP Plants." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94045.

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This paper describes a methodology to set up steam cycle simulators for CHP plants. The adopted approach consists in a simultaneous solution of modules representing plant components taking their actual behavior into account. Models are characterized by Reality Functions to adapt them to the reality of machines and apparatuses so that the New&Clean map of the real component can be established. Furthermore, to account for deterioration phenomena occurring during plant operations, Actuality Functions affecting component performance in terms of work and heat transfer, losses and effective flow functions have been introduced. Models have been validated and tested against real CHP plant data. Applications to different kinds of CHP steam cycles are presented and discussed. Results show a good simulator capability to estimate component deterioration status and to reproduce the plant actual behavior.
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Li, Yunsheng William, Syed Sadaqat S. Ali, and AbdulMohsin Abbas Maskeen. "Lithofacies Based Fluid Prediction Using Machine Learning." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211622-ms.

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Abstract Gas, oil and water zones are critical aspects for geoscientists to evaluate. In each well, a geoscientist must determine where such zones are located based on available well data, such as gamma ray, resistivity, density, neutron porosity, etc. This article addresses how to identify the most important gas, oil, and water zones based on these conventional log curvesusing machine learning (ML) technology which utilize different kinds of neural networks algorithms that is increasingly popular in well log analysis (Leila Aliouane, et al. 2013). Traditionally, geoscientists use a combination of different log curves to identify trends to locate gas, oil, and water zones. This methodology typically uses cut-offs and/or crossovers of different log curves and it is not always reliable. The most commonly used method are the crossover of bulk density and neutron porosity and the cutoffs of resistivity, which is really helpful but not very accurate. ML is categorized as supervised learning or unsupervised learningaccording to whether training sample labels are provided (Witten et al., 2005; Kotsiantis et al., 2007).This paper proposes a new methodology that uses MLtechnology to predict gas, oil, and water zones. It first builds an Unsupervised Machine Learning (UML) model to predict the initial lithofacies. It then builds another Supervised Machine Learning (SML) model using different conventional log curves and tested gas, oil, and water zones as inputs, including the initial predicted lithofacies from each well to train the model. The model is then applied to predict the gas, oil, and water zones for all wells, without the need for additional test information. This automated workflow can achieve a very good result easily and accurately because the machine learning technology can fully utilize the input information to find the relationshipbetween the input data and the training data. By applying the lithofacies restriction to limit the output only within the good reservoirs,a very good final result was successfully achieved. At the end of the workflow a 3D model was also created to predict the distribution of the fluid. The 3D model shows clearly the gas, oil and water distribution horizontally and vertically which will help with field development in the future.
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Lee, Gong Hee, Young Seok Bang, Sweng Woong Woo, Ae Ju Cheong, Do Hyeong Kim, and Min Ku Kang. "Performance Assessment of the Commercial CFD Software for the Prediction of the PWR Internal Flow." In SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo, edited by D. Caruge, C. Calvin, C. M. Diop, F. Malvagi, and J. C. Trama. Les Ulis, France: EDP Sciences, 2014. http://dx.doi.org/10.1051/snamc/201405128.

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As the computer hardware technology develops the license applicants for nuclear power plant use the commercial CFD software with the aim of reducing the excessive conservatism associated with using simplified and conservative analysis tools. Even if some of CFD software developers and its users think that a state of the art CFD software can be used to solve reasonably at least the single-phase nuclear reactor safety problems, there is still the limitations and the uncertainties in the calculation result. From a regulatory perspective, Korea Institute of Nuclear Safety (KINS) has been presently conducting the performance assessment of the commercial CFD software for the nuclear reactor safety problems. In this study, in order to examine the prediction performance of the commercial CFD software with the porous model in the analysis of the scale-down APR+ (Advanced Power Reactor Plus) internal flow, simulation was conducted with the on-board numerical models in ANSYS CFX R.14 and FLUENT R.14. It was concluded that depending on the CFD software the internal flow distribution of the scale-down APR+ was locally somewhat different. Although there was a limitation in estimating the prediction performance of the commercial CFD software due to the limited number of the measured data, CFX R.14 showed the more reasonable predicted results in comparison with FLUENT R.14. Meanwhile, due to the difference of discretization methodology, FLUENT R.14 required more the computational memory than CFX R.14 for the same grid system. Therefore the CFD software suitable to the available computational resource should be selected for the massive parallel computation.
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