1,720,994 research outputs found
An Event Tree/Fault Tree Embedded Markov Model Approach for the PSAM-8 Benchmark Problem Concerning a Phased Mission Space Propulsion System
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
Mathematical Framework for the Analysis of Dynamic Stochastic Systems with the RAVEN code
No full textRAVEN (Reactor Analysis and Virtual control Environment) is a software code under
development at Idaho National Laboratory aimed at performing probabilistic risk assessment and uncertainty quantification using RELAP-7, for which it acts also as a simulation controller. In this paper we will present the equations characterizing a dynamic stochastic system and we will then discuss the behavior of each stochastic term and how it is accounted for in the RAVEN software design. Moreover we will present preliminary results of the implementatio
RAVEN: a GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework
Full text linkIncreases in computational power and pressure for
more accurate simulations and estimations of accident scenario consequences are driving the need for Dynamic
Probabilistic Risk Assessment (PRA) [1] of very complex models. While more sophisticated algorithms and
computational power address the back end of this challenge, the front end is still handled by engineers that
need to extract meaningful information from the large amount of data and build these complex models.
Compounding this problem is the difficulty in knowledge transfer and retention, and the increasing speed of
software development. The above-described issues would have negatively
impacted deployment of the new high fidelity plant simulator RELAP-7 (Reactor Excursion and Leak
Analysis Program) at Idaho National Laboratory. Therefore, RAVEN that was initially focused to be the
plant controller for RELAP-7 will help mitigate future
RELAP-7 software engineering risks. In order to accomplish such a task Reactor Analysis
and V
Friction boosted by equilibrium misalignment of incommensurate two-dimensional colloid monolayers
Full text linkColloidal two-dimensional monolayers sliding in an optical lattice are of recent importance as a frictional system. In the general case when the monolayer and optical lattices are incommensurate, we predict two important novelties, one in the static equilibrium structure, the other in the frictional behavior under sliding. Structurally, realistic simulations show that the colloid layer should possess in full equilibrium a small misalignment rotation angle relative to the optical lattice, an effect so far unnoticed but visible in some published experimental moiré patterns. Under sliding, this misalignment has the effect of boosting the colloid monolayer friction by a considerable factor over the hypothetical aligned case discussed so far. A frictional increase of similar origin must generally affect other incommensurate adsorbed monolayers and contacts, to be sought out case by case
Performing Probabilist Risk Assessment Through RAVEN
No full textRAVEN (Reactor Analysis and Virtual control
ENviroment) [1, 2] is a software framework that acts
as the control logic driver for the Thermo-Hydraylic code
RELAP-7, a newly developed software at Idaho National
Laboratory. The aim of this paper is to provide an overview
of the software structure and its utilization in conjunction
with RELAP-7/MOOSE [3, 4]. RAVEN is a multi-purpose
Probabilistic Risk Assement (PRA) code that allows
dispatching different functionalities. It is designed to derive
and actuate the control logic required to simulate the plant
control system and operator actions (guided procedures) and
to performboth Monte-Carlo sampling ofrandom distributed
events and dynamic event tree based analysis [5]. In order to
assist the user in the input/output handling, a Graphical User
Interface (GUI) and a post-processing data mining module,
based on dimensionality and cardinality reduction [6], are
available. This paper wants to point up the link between the
software layout and the mathematical framework from which
its structure is derived. In order to show some capabilities, a
demo of a Station Black Out (SBO) analysis of a simplified
Pressurized Water Reactor (PWR) model is reported.RAVEN (Reactor Analysis and Virtual control
ENviroment) [1, 2] is a software framework that acts
as the control logic driver for the Thermo-Hydraylic code
RELAP-7, a newly developed software at Idaho National
Laboratory. The aim of this paper is to provide an overview
of the software structure and its utilization in conjunction
with RELAP-7/MOOSE [3, 4]. RAVEN is a multi-purpose
Probabilistic Risk Assement (PRA) code that allows
dispatching different functionalities. It is designed to derive
and actuate the control logic required to simulate the plant
control system and operator actions (guided procedures) and
to performboth Monte-Carlo sampling ofrandom distributed
events and dynamic event tree based analysis [5]. In order to
assist the user in the input/output handling, a Graphical User
Interface (GUI) and a post-processing data mining module,
based on dimensionality and cardinality reduction [6], are
available. This paper wants to point up the link between the
software layout and th
Radioterapia esclusiva nei linfomi di Hodgkin stadio I e IIA: analisi dei risultati e delle sequele
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