Meta-emotional intelligence is a recently developed multidimensional construct that, starting from the original ability model of emotional intelligence, focuses on the cognitive aspects of emotional ...abilities and on the metacognitive and meta-emotional processes that influence our emotional life. Thus, meta-emotional intelligence is the combination of emotional abilities and meta-emotional dimensions, such as the beliefs about emotions, the self-concept about one's emotional abilities, and the self-evaluation of performance. This article aims to illustrate the theoretical and methodological background of this construct and to describe the IE-ACCME test, an original multi-method tool that has been developed to measure the different variables that compose meta-emotional intelligence. Applications of this construct will be discussed, as well as future directions.
Gas chromatography–mass spectrometry (GC–MS) with Cold EI is based on interfacing GC and MS with supersonic molecular beams (SMBs) along with electron ionization of vibrationally cold sample ...compounds in SMB in a fly‐through ion source (hence the name Cold EI). Cold EI improves all the central performance aspects of GC–MS, and in this paper, we focus on its improvement of signal‐to‐noise ratio (S/N) and limits of detection (LODs). We found that the harder the compound for analysis with standard EI, the greater the Cold EI gain in S/N and LOD. The lower LOD and higher S/N of Cold EI emerge from a few reasons: (a) similar ionization yield as standard EI, (b) enhanced abundance of molecular ions, (c) elimination of vacuum background noise, (d) elimination of ion source‐related peak tailing and degradation, (e) ability to lower the elution temperatures via the use of high column flow rates, and (f) greater range of thermally labile and low‐volatility compounds that can be analyzed. We demonstrate the superior S/N and lower LOD of Cold EI versus standard EI in a range of compounds, from the simple‐to‐analyze octafluoronaphthalene all the way to reserpine and an organo‐metallic compound that cannot be analyzed by standard EI. These compounds include methyl stearate, cholesterol, n‐C32H66, large polycyclic aromatic hydrocarbons, dioctyl phthalates, diundecyl phthalate, pentachlorophenol, benzidine, lambda‐cyhalothrin, and methidathion. The significantly lower Cold EI LODs that can be over 1000 times better than in standard EI further result in far superior response linearity and greater measurement dynamic range.
► Analysis of 47 flame retardants by GC–EI(ECNI)-MS and GC–EI-MS/MS. ► Mass spectral characterization of priority and emerging flame retardants. ► Low detection limits and high specificity were ...obtained by GC–EI-MS/MS. ► Organophosphorus flame retardants detected within a drinking water treatment plant.
A multiresidue method based on gas chromatography coupled to quadrupole mass spectrometry was developed to determine organophosphorus flame retardants, polybromodiphenyl ethers (BDEs 28, 47, 99, 100, 153, 154, 183 and 209), new brominated flame retardants, bromophenols, bromoanilines, bromotoluenes and bromoanisoles in water. Two ionization techniques (electron ionization – EI, and electron capture negative ionization – ECNI) and two acquisition modes (selected ion monitoring – SIM, and selected reaction monitoring – SRM) were compared as regards to mass spectral characterization, sensitivity and quantification capabilities. The highest sensitivity, at expenses of identification capacity, was obtained by GC–ECNI-MS/SIM for most of the compounds analyzed, mainly for PBDEs and decabromodiphenyl ethane while GC–EI-MS/MS in SRM was the most selective technique and permitted the identification of target compounds at the pg level, and identification capabilities increased when real samples were analyzed. This method was further used to evaluate the presence and behavior of flame retardants within a drinking water treatment facility. Organophosphorus flame retardants were the only compounds detected in influent waters at levels of 0.32–0.03μgL−1, and their elimination throughout the different treatment stages was evaluated.
In this paper, we propose generalizations of the EI index to quantify the distinction between intragroup and intergroup connections in social networks. These generalizations enable the analysis of ...interactions between non-disjoint groups, as large-scale disjoint groups are rarely found in many empirical networks. By expanding social network analysis, these measures facilitate the identification of actors with greater similarities or differences, generating previously untapped knowledge. Furthermore, we propose incorporating both edges' and nodes' weights in assessing the EI index. Intuitively, our approach classifies each network edge as internal or external, depending on the attribute groups that each node linked by the given edge belongs to. Since nodes can belong to more than one attribute group, three methods of classifying a network edge are proposed which depend on the number of shared groups by the pair of nodes. We evaluate the new measures in two distinct network contexts. The first context involves a co-authorship network, where researchers, acting as network actors, are categorized based on their respective areas of expertise in management engineering. The second network consists of trade relations among countries in the Americas, with countries grouped according to their participation in trade agreements. The analysis showed which area of management engineering is more independent by having more internal connections and made it possible to investigate the role of trade agreements in the actual trades made by countries. These proposals provide a more comprehensive and nuanced understanding of network dynamics, allowing for a more precise comprehension of interactions and patterns present in social systems.
Emotional Intelligence (EI) has been conceptualized in the literature either as a dispositional tendency, in line with a personality trait (trait EI; Petrides and Furnham, 2001), or as an ability, ...moderately correlated with general intelligence (ability EI; Mayer and Salovey, 1997). Surprisingly, there have been few empirical attempts conceptualizing how the different EI approaches should be related to each other. However, understanding how the different approaches of EI may be interwoven and/or complementary is of primary importance for clarifying the conceptualization of EI and organizing the literature around it. We introduce a theoretical framework explaining how trait EI, ability EI, and emotion information processing - a novel component related to EI recently introduced in the literature (e.g., Fiori and Vesely Maillefer, 2018) - may contribute to effective emotion-related performance and provide initial evidence supporting its usefulness in predicting EI-related outcomes. More specifically, we show that performance in a task in which participants had to infer the mental and emotional states of others, namely a Theory of Mind task, was predicted jointly (e.g., interaction effects) by trait EI, ability EI, and emotion information processing, after controlling for personality and IQ (
= 323). Our results argue for the importance of investigating the joint contribution of different aspects of EI in explaining variability in emotionally laden outcomes.
Amidst a contemporary fast-changing business environment, scholars and practitioners alike increasingly recognize knowledge management (KM) and dynamic capabilities as key elements in the development ...of firms' competitive advantage. Our understanding of the effect of KM on firm performance, nonetheless, is still limited, as in fact are the circumstances under which KM and dynamic capabilities affect firms' ambidexterity, which reflects firms' ability to conduct synchronous exploration and exploitation activities. Thus, building on KM and dynamic capability literature, and implementing a quantitative methodology, this paper aims to investigate the elusive relationship among KM orientation, dynamic capabilities, and ambidextrous entrepreneurial intensity (EI). Employing a dataset composed of 181 Italian firms operating in the ICT industry, and using structural equation modeling, the research subsequently investigates whether and how this relationship affects the overall firm performance. Results indicate that KM orientation has a positive and significant impact on ambidextrous EI and performance, especially when the firm has substantial dynamic capabilities. These findings further facilitate the identification and prescription of explicit scholarly and managerial implications.
This work experimentally and numerically studied the kinetic roles of non-equilibrium nanosecond pulsed discharge in the oxidation and ignition of NH3/O2/Ar mixture at low temperatures. Electron ...ionization molecular beam mass spectrometry (EI-MBMS) was used to qualify and quantify the species pool in NH3/O2/Ar plasma, involving NH3, O2, H2O, N2, NO, and N2O. A complete set of electron scattering cross sections of NH3, including elastic, rotational, vibrational excitation, electronic excitation, dissociation, and ionization, calculated via the R-matrix method was included in the developed plasma assisted NH3/O2/Ar oxidation kinetic mechanism. Rate constants of reactions involving vibrational and electronic excited ammonia, NH3(v) and NH3(e), were calculated with the Fridman-Macheret α-model and Modified Method of Vibronic Terms (MMVT), respectively. The corresponding rate constants were expressed in the Arrhenius equation and featured decreased active energy barriers or increased pre-exponential factors compared to the reactions involving ground state NH3. Key reactions that activated NH3 consumption, e + NH3 → e + NH3(e), and NH3(e) + X → NH2 + XH were included based on the newly-calculated cross sections. The concentrations of reactants and main products predicted by the proposed model were consistent with the experimental measurements in the wide range of inlet O2 mole fractions and applied voltages. Model analysis revealed that the electron impact reactions and plasma reactions involved excited species such as O(1D), Ar⁎, and electrons played key roles in the initial oxidation of NH3. A non-monotonic relationship between ignition delay time and O2 mole fractions was observed in the low-temperature plasma assisted NH3 ignition due to the competitive reaction channels between O(1D) reactions with NH3 and O2. This work provided kinetic insight into low-temperature plasma assisted NH3 oxidation and ignition for future engine applications.
Background: Emotional intelligence of teachers can affect their mental and physical health as well their performance in school. Both emotional intelligence and health behavior can have an impact on ...stress. The majority of Indian studies have examined only one type of teacher, have used indigenous scales which are not internationally valid, and have not studied health behaviour. The role of age and gender on emotional intelligence is also a debatable subject which requires larger studies
The present study was undertaken to evaluate the trait emotional intelligence, stress and health behaviour of teachers and to determine their inter-relationship and to assess the role of demographic and professional attributes on emotional intelligence.
Methods: Teachers from different schools, colleges and professional institutes situated in Dehradun and nearby towns in the state of Uttarakhand, India were evaluated by internationally valid tools for the three parameters.
Results: Emotional Intelligence of teachers has no relation with age, gender, educational qualification, level of teaching or type of institute. It has a negative correlation with stress and a positive correlation with health behaviour. Further, health behaviour is inversely related to stress.
Conclusions: Assessment of emotional intelligence and health behaviour of teachers should be a part of their routine evaluation and training so that specific interventions to reduce stress and to improve their overall health and performance can be appropriately planned.
Background: Emotional intelligence of teachers can affect their mental and physical health as well their performance in school. Both emotional intelligence and health behavior can have an impact on ...stress. The majority of Indian studies have examined only one type of teacher, have used indigenous scales which are not internationally valid, and have not studied health behaviour. The role of age and gender on emotional intelligence is also a debatable subject which requires larger studies
The present study was undertaken to evaluate the trait emotional intelligence, stress and health behaviour of teachers and to determine their inter-relationship and to assess the role of demographic and professional attributes on emotional intelligence.
Methods: Teachers from different schools, colleges and professional institutes situated in Dehradun and nearby towns in the state of Uttarakhand, India were evaluated by internationally valid tools for the three parameters.
Results: Emotional Intelligence of teachers has no relation with age, gender, educational qualification, level of teaching or type of institute. It has a negative correlation with stress and a positive correlation with health behaviour. Further, health behaviour is inversely related to stress.
Conclusions: Assessment of emotional intelligence and health behaviour of teachers should be a part of their routine evaluation and training so that specific interventions to reduce stress and to improve their overall health and performance can be appropriately planned.
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