scholarly journals An Ethical Analysis Model to DuPont’s PFOA Event Based on Consequentialism Perspective

2021 ◽  
Author(s):  
Zirui Liu ◽  
Xintong Li ◽  
Shang Shi
Keyword(s):  
Ethical Analysis ◽  
Analysis Model ◽  
Event Based

Una Mujer de los ’60 Atrapada en un Serie de la TV Contemporánea: Claire Dunphy una Ama de Casa en “Modern Family”.

2015 ◽  
Vol 3 (1) ◽  
pp. 19
Author(s):  
María Teresa Nicolás Gavilán ◽  
Carmen Quintanilla Jiménez ◽  
María de los Ángeles Padilla Lavín ◽  
Perla Paola Vargas Zamorano
Keyword(s):  
Ethical Analysis ◽  
Analysis Model ◽  
Current Role ◽  
Her Family ◽  
Four Seasons ◽  
The Feminine ◽  
Modern Family

<p class="hppag28TextAbstract">The character of Claire Dunphy from the TV series Modern Family is a married housewife with three kids who is fully dedicated to her home, husband and kids. The present analysis confronts the feminine model proposed by the character with the feminist conception of actual women during the first four seasons of the series. This allows establishing the kind of lifestyle and values that she transmits to the audience. By applying an ethical analysis model which questions about her anthropological spheres, Claire appears as a modern woman who chose her family over her career and has found in her current role, the feeling of a succeeding and loving life.</p>

DERIVING SYSTEM COMPLEXITY METRIC FROM EVENTS AND ITS VALIDATION

2011 ◽  
Vol 21 (08) ◽  
pp. 1097-1121 ◽  
Author(s):  
SANGEETA SABHARWAL ◽  
SANDEEP K. SINGH ◽  
J. P. GUPTA
Keyword(s):  
Software Metrics ◽  
Process Management ◽  
Flow Model ◽  
Measuring System ◽  
Analysis Model ◽  
System Complexity ◽  
Flow Graph ◽  
Event Stream ◽  
Event Flow ◽  
Event Based

The event based paradigm has gathered momentum as witnessed by current efforts in areas ranging from event driven architectures, complex event processing, and business process management and modeling to grid computing, web services notifications, event stream processing and message-oriented middleware. The increasing popularity of event based systems has opened new challenging issues for them. One such issue is measuring complexity of these systems. A well-developed system should be maintainable, pluggable, scalable and less complex. In this paper, an event based approach is proposed to derive software metrics for measuring system complexity. Events taking place in a system are documented using the proposed event template. An event-flow model is constructed from event templates. The event-flow model of an event based system is represented as an event-flow graph. The proposed event-flow complexity metric for analysis model is derived from an event-flow graph. The metric has also been evaluated in terms of Weyuker's properties. Results of evaluation show that it satisfies 8 out of 9 Weyuker's properties. A prototype tool is also developed to automatically generate event interdependency matrices and compute absolute and relative complexity of an entire system. The proposed technique can be very effective especially for real time systems where lots of events take place.

Event Based Sentiment Analysis on Futures Trading

2020 ◽  
Author(s):  
Ritu K. Yadav ◽  
Ashwani Kumar ◽  
A. VINAY KUMAR
Keyword(s):  
Sentiment Analysis ◽  
Training Data ◽  
Event Representation ◽  
Analysis Model ◽  
Event Identification ◽  
Market Sentiment ◽  
Time News ◽  
Event Based ◽  
Analysis Models ◽  
The Impact

Market expectations as well as perception of the investment risks and returns are dependent on information arrivals. News arrival forms the basis for market sentiment, which in turn forms the basis for trading positions. Research in sentiment analysis focuses on quantifying the impact that news has on prevailing market sentiment. However, it is not news but events that impact the market sentiment; and the news is one of the modes to disseminate information about the events. Sentiment analysis must distinguish the events from news and events should be used as the predicting construct for market sentiments. This paper proposes an event-based sentiment analysis model that entails event identification, event-based training data creation, and event representation algorithms. A comparative analysis of news-based and event-based sentiment analysis is done on high-frequency futures trades, using the real-time news as the source of market information. The proposed event-based sentiment analysis performed better than the traditional news-based sentiment analysis when evaluated using both the statistical metrics and simulated trading. This paper presents pivotal research in the direction of event-based sentiment analysis models and its implication on algorithmic trading.

An Input–Process–Output Model of Pilot Core Competencies

2017 ◽  
Vol 7 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Heikki Mansikka ◽  
Don Harris ◽  
Kai Virtanen
Keyword(s):  
Path Analysis ◽  
Team Performance ◽  
Core Competencies ◽  
Core Competency ◽  
Principal Component ◽  
Analysis Model ◽  
Input Process ◽  
The Core ◽  
Performance Framework ◽  
Process Output

Abstract. The aim of this study was to investigate the relationship between the flight-related core competencies for professional airline pilots and to structuralize them as components in a team performance framework. To achieve this, the core competency scores from a total of 2,560 OPC (Operator Proficiency Check) missions were analyzed. A principal component analysis (PCA) of pilots’ performance scores across the different competencies was conducted. Four principal components were extracted and a path analysis model was constructed on the basis of these factors. The path analysis utilizing the core competencies extracted adopted an input–process–output’ (IPO) model of team performance related directly to the activities on the flight deck. The results of the PCA and the path analysis strongly supported the proposed IPO model.

Is That Measure Really One-Dimensional?

Methodology ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. 188-196 ◽  
Author(s):  
Esther T. Beierl ◽  
Markus Bühner ◽  
Moritz Heene
Keyword(s):  
Model Fit ◽  
Nuisance Parameters ◽  
Factorial Validity ◽  
Fit Indices ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
One Dimensional ◽  
Confirmatory Factor Analysis Model ◽  
Cutoff Values ◽  
Confirmatory Factor

Abstract. Factorial validity is often assessed using confirmatory factor analysis. Model fit is commonly evaluated using the cutoff values for the fit indices proposed by Hu and Bentler (1999) . There is a body of research showing that those cutoff values cannot be generalized. Model fit does not only depend on the severity of misspecification, but also on nuisance parameters, which are independent of the misspecification. Using a simulation study, we demonstrate their influence on measures of model fit. We specified a severe misspecification, omitting a second factor, which signifies factorial invalidity. Measures of model fit showed only small misfit because nuisance parameters, magnitude of factor loadings and a balanced/imbalanced number of indicators per factor, also influenced the degree of misfit. Drawing from our results, we discuss challenges in the assessment of factorial validity.

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