1,721,105 research outputs found
Estimating Successful Internal Mobility: A Comparison Between Structural Equation Models and Machine Learning Algorithms
Internal mobility often depends on predicting future job satisfaction, for such employees subject to internal mobility programs. In this study, we compared the predictive power of different classes of models, i.e., (i) traditional Structural Equation Modeling (SEM), with two families of Machine Learning algorithms: (ii) regressors, specifically least absolute shrinkage and selection operator (Lasso) for feature selection and (iii) classifiers, specifically Bagging meta-model with the k-nearest neighbors algorithm (k-NN) as a base estimator. Our aim is to investigate which method better predicts job satisfaction for 348 employees (with operational duties) and 35 supervisors in the training set, and 79 employees in the test set, all subject to internal mobility programs in a large Italian banking group. Results showed average predictive power for SEM and Bagging k-NN (accuracy between 61 and 66%; F1 scores between 0.51 and 0.73). Both SEM and Lasso algorithms highlighted the predictive power of resistance to change and orientation to relation in all models, together with other personality and motivation variables in different models. Theoretical implications are discussed for using these variables in predicting successful job relocation in internal mobility programs. Moreover, these results showed how crucial it is to compare methods coming from different research traditions in predictive Human Resources analytics
The Relation Between Consumers' Frontal Alpha Asymmetry, Attitude, and Investment Decision
The frontal alpha asymmetry (FAA) is a neurophysiological measure of motivation and preference. Despite the FAA is associated to commercial pleasantness, conflicting evidence emerged in the literature regarding its relationship with behavior. To study the association between FAA and consumers' decision, we manipulated a commercial script to elicit diverse consumers' attitudes and decisions and to evaluate whether the FAA score is associated to their final investment. A little informative script (S1) was used to polarize consumers' attitudes and investments toward unfavorable scores, while a more personalized message (S2) to elicit in customers a favorable attitude and higher investments. Twenty-one participants listened to the scripts, and their FAA, attitude, and monetary investment were measured. In S1, the FAA did not correlate with neither attitude nor the investment decision, while a robust negative correlation between these variables was found in S2. No other peripheral body and neural measures associated with attitude or final decision. Our data suggest that the FAA correlates with attitude and decision, when a commercial script is customized and provides an adequate information, likely leading the consumer to a more reasoned and planned decision-making process. When facilitating a favorable attitude toward an offer, the negative correlation of FAA and behavior may reflect the involvement of a control system, whose role is to monitor and govern possible conflicts between approach and avoidance motivations. This observation provides additional indication on the value of FAA as a marker of consumer behaviors, and how it could be affected by experimental and contextual bias
Resource Constrained Electronics and Signal Processing for UAV Radiation Sensors
This paper details the development of an inexpensive, power-efficient, and lightweight radiation detection system specifically designed for deployment on Unmanned Aerial Vehicles (UAVs). The system addresses the need for swift, remote radiation detection capabilities during radiological and nuclear emergencies, a demand emphasized by events such as the Fukushima accident in 2011. The design is based on readily accessible components, which lessens reliance on costly, specialized hardware like FieldProgrammable Gate Arrays (FPGAs) and ApplicationSpecific Integrated Circuits (ASICs). The proposed system comprises two types of detectors: inorganic scintillators, specifically CsI:tl and GAGG:ce, paired with Silicon Photomultipliers (SiPMs) for gamma-ray detection, and solid-state detectors provided with a 6Li converter for thermal neutron detection. These detectors operate independently, increasing redundancy and system reliability. The system’s performance, evaluated through extensive testing, has shown significant improvements in linearity and noise characteristics over previous iterations. Beyond its primary function in emergency response, the system could find applicability in diverse fields such as environmental radiation monitoring, geological surveys, industrial inspections, and scientific research
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
Countering radiological and nuclear threats. Proceedings of the 4th International CBRNe Workshop, "IW CBRNe 2018"
The present paper deals with a realistic test performed in the frame of the Space Fly Multiagent (SFM) project funded by the European Space Agency. The project aims at developing services in support of CBRN scenarios. The proposed service is based on the acquisition of real time data useful to support the management of emergency events. The architecture of the system includes the development of a mathematical model able to evaluate the dispersion of contaminating agents and, in general, to make prevision regarding the potential threat generated by contaminating sources. Within the objectives of the service under development, data acquired during field surveys together with the mathematical model outputs should be made available to on site operators team and shared, in real time, with a remote coordination center.
To this aim a mock-up test was performed in a contaminated site as part of the validation task of the system architecture. A radiological test source was positioned on the site and, thanks to the aerial radiation measurements made possible by the use of an unmanned aerial vehicle, the position of the source, which was assumed unknown by the operators, has been estimated. Consequently, an estimate of the dose rate spatial distribution was obtained both in case of sealed and unsealed radiological source.
The paper is organized in coherence with the operative steps that led to the implementation of the mock-up test. The objectives of the mock-up test are illustrated in relation to the selected system architecture. Preliminary and preparatory operations for the test are described in detail. The operational aspects that influence the success of the intervention are taken into consideration, both from the point of view of the first responders and that of the UAV pilot
Variations on the Author
“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
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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