Emotion Regulation as Risk Management for Industrial Crisis Resolution: An MDP model driven by field data on Interpersonal Emotion Management (IEM)

2020 ◽  
Author(s):  
Corinne Post ◽  
Francesco Moresino ◽  
Emmanuel Fragniere
Keyword(s):  
Risk Management ◽  
Emotion Regulation ◽  
Field Data ◽  
Emotion Management ◽  
Crisis Resolution ◽  
Model Driven ◽  
Industrial Crisis

Homework Emotion Management at the Secondary School Level: Antecedents and Homework Completion

2011 ◽  
Vol 113 (3) ◽  
pp. 529-560 ◽  
Author(s):  
Jianzhong Xu
Keyword(s):  
Emotion Regulation ◽  
Secondary School ◽  
Emotion Management ◽  
School Level ◽  
Individual Student ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Class Level ◽  
Secondary School Level ◽  
Homework Completion

Background/Context For many children, doing homework becomes an emotionally charged event and one of the most disappointing aspects of school life. It is surprising to note, however, that homework emotion management is noticeably absent from much contemporary homework literature. Purpose The primary propose of the present study was to propose and test empirical models of variables posited to predict homework emotion management at the secondary school level, with the models informed by (a) research and theory on emotion regulation and (b) findings from homework research that alluded to a number of factors that may influence homework emotion management. Another purpose of the present study was to examine whether homework emotion management is related to homework completion, one of the major outcome variables in the homework process. Research Design The study reported here used cross-sectional survey data. The participants were 1,895 students from 111 classes in the southeastern United States, including 1,046 eighth graders from 63 classes and 849 11th graders from 48 classes. Results Results from the multilevel analyses revealed that most of the variance in homework emotion management occurred at the student level, with grade level appearing as the only significant predictor at the class level. At the student level, the variation in homework emotion management was positively associated with teacher feedback, peer-oriented reasons for doing homework, arranging the environment, managing time, and monitoring motivation. Girls reported statistically significant higher scores in managing homework emotion than did boys. Follow-up analyses further revealed that homework emotion management was positively associated with homework completion. Conclusion As most of the variance in homework emotion management occurred at the student level rather than at the class level, homework emotion management was largely a function of individual student characteristics and experiences. The present study further suggests that monitoring motivation and managing time play a predominant role in homework emotion management (compared with other variables included in the present study). Consequently, there is a critical need to conceptualize these variables in the process of emotion regulation in general, and in homework emotion management in particular. In addition, there is a critical need for secondary schools to strategically engage students in the homework process to better manage their emotion while doing homework.

scholarly journals Perilaku Ekonomi Bank Syariah dan Risikonya Terhadap Rate of Return Bagi Nasabah Deposan Dalam Pembiayaan Mudarabah dan Murabahah (Studi Kasus Bank-bank Syariah di Wilayah Yogyakarta)

2016 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Abdul Mughits
Keyword(s):  
Risk Management ◽  
Behavioral Finance ◽  
Field Data ◽  
Third Party ◽  
Rate Of Return ◽  
Rational Behavior ◽  
Islamic Banks ◽  
Islamic Bank ◽  
Irrational Behavior ◽  
Research Objects

This research tries to check the potency of risk of Islamic bank in defrayal of mudarabah and murabahah. This research was inspired from ascription of whereas one who said that the Islamic banks have not been risk because they have owned the guidance of risk management published by Bank Indonesia (BI). One way to assess the existence of potency of risk of Islamic bank in its defrayal product is using the theory of behavioral economics which’s in general differentiated to two categories, that is rational that which tends to be risk and irrasional that which tend to be not risk. Rational behavior is presented by the approach of efficiency market hyphotesis (EMH) and irrational behavior is presented by the approach of adaptive market hypothesis (AMH) And behavioral finance (BF). This research objects are four Islamic banks in Yogyakarta. After conducting by tracing of field data then found by that four Islamic banks affirm still face the risk in their operational, especially operational risk, risk of credit and risk of liquidity. From four bank also show that their behaviors are irrasional because tend to show the behavior of AMH and BF, than EMH. Thereby its risk potency tend to minimize to rate of return of client of deposan or third party lenders ( DPK).

scholarly journals TLS FIELD DATA BASED INTENSITY CORRECTION FOR FOREST ENVIRONMENTS

2016 ◽  
Vol XLI-B8 ◽  
pp. 643-649
Author(s):  
J. Heinzel ◽  
M. O. Huber
Keyword(s):  
Laser Scanning ◽  
Field Data ◽  
Near Infrared ◽  
Three Dimensional ◽  
Correction Method ◽  
Laser Wavelength ◽  
Absolute Calibration ◽  
Equal Distribution ◽  
Model Driven ◽  
Specific Factors

Terrestrial laser scanning (TLS) is increasingly used for forestry applications. Besides the three dimensional point coordinates, the 'intensity' of the reflected signal plays an important role in forestry and vegetation studies. The benefit of the signal intensity is caused by the wavelength of the laser that is within the near infrared (NIR) for most scanners. The NIR is highly indicative for various vegetation characteristics. <br><br> However, the intensity as recorded by most terrestrial scanners is distorted by both external and scanner specific factors. Since details about system internal alteration of the signal are often unknown to the user, model driven approaches are impractical. On the other hand, existing data driven calibration procedures require laborious acquisition of separate reference datasets or areas of homogenous reflection characteristics from the field data. <br><br> In order to fill this gap, the present study introduces an approach to correct unwanted intensity variations directly from the point cloud of the field data. The focus is on the variation over range and sensor specific distortions. Instead of an absolute calibration of the values, a relative correction within the dataset is sufficient for most forestry applications. Finally, a method similar to time series detrending is presented with the only pre-condition of a relative equal distribution of forest objects and materials over range. Our test data covers 50 terrestrial scans captured with a FARO Focus 3D S120 scanner using a laser wavelength of 905 nm. Practical tests demonstrate that our correction method removes range and scanner based alterations of the intensity.

scholarly journals Attenuation of Seismic Multiples in Very Shallow Water: An Application in Archaeological Prospection Using Data Driven Approaches

2021 ◽  
Vol 13 (10) ◽  
pp. 1871
Author(s):  
Michaela Schwardt ◽  
Dennis Wilken ◽  
Wolfgang Rabbel
Keyword(s):  
Shallow Water ◽  
Field Data ◽  
Water Layer ◽  
Primary Energy ◽  
Time Shift ◽  
Multiple Reflections ◽  
Traditional Methods ◽  
Near Surface ◽  
Archaeological Prospection ◽  
Model Driven

Water-layer multiples pose a major problem in shallow water seismic investigations as they interfere with primaries reflected from layer boundaries or archaeology buried only a few meters below the water bottom. In the present study we evaluate two model-driven approaches (“Prediction and Subtraction” and “RTM-Deco”) to attenuate water-layer multiple reflections in very shallow water using synthetic and field data. The tests comprise both multi- and constant-offset data. We compare the multiple removal efficiency of the evaluated methods with two traditional methods (Predictive Deconvolution and SRME). Both model-driven approaches yield satisfactory results concerning the enhancement of primary energy and the attenuation of multiple energy. For the synthetic test cases, the multiple energy is reduced by at least 80% for the Prediction and Subtraction approach, and by more than 60% for the RTM-Deco approach. The application to two field data sets shows a significant amplification of primaries formerly hidden by the first water-layer multiple, with a reduction of multiple energy of up to 50%. The waveforms obtained from FD modeling match the true waveforms of the field data well and small deviations in time and amplitude can be removed by a time shift of the traces as well as an amplitude adaption to the field data. The field data examples should be emphasized, where the tested Prediction and Subtraction approach works significantly better than the traditional methods: the multiples are effectively predicted and attenuated while primary signals are highlighted. In conclusion, this shows that this method is particularly suitable in shallow water applications. Both evaluated multiple attenuation approaches could be successfully transferred to two other 3D systems used in shallow water near surface investigations. Especially the Prediction and Subtraction approach is able to enhance the primaries for both tested 3D systems with the multiple energy being reduced by more than 50%.

Teachers’ emotions and emotion management: integrating emotion regulation theory with emotional labor research

2016 ◽  
Vol 19 (4) ◽  
pp. 843-863 ◽  
Author(s):  
Mikyoung Lee ◽  
Reinhard Pekrun ◽  
Jamie L. Taxer ◽  
Paul A. Schutz ◽  
Elisabeth Vogl ◽  
...  
Keyword(s):  
Emotion Regulation ◽  
Emotional Labor ◽  
Emotion Management ◽  
Regulation Theory ◽  
Régulation Theory

Homework Emotion Regulation Scale: Confirming the Factor Structure With High School Students

2016 ◽  
Vol 35 (4) ◽  
pp. 437-441 ◽  
Author(s):  
Jianzhong Xu ◽  
Xitao Fan ◽  
Jianxia Du
Keyword(s):  
Emotion Regulation ◽  
High School Students ◽  
Cognitive Reappraisal ◽  
Emotion Management ◽  
Math Performance ◽  
Factor Analyses ◽  
School Students ◽  
Confirmatory Factor Analyses ◽  
Tenth Graders ◽  
Confirmatory Factor

The current investigation studied psychometric properties of the Homework Emotion Regulation Scale (HERS) for math homework, with 915 tenth graders from China. Confirmatory factor analyses (CFAs) supported the presence of two separate yet related subscales for the HERS: Emotion Management and Cognitive Reappraisal. The latent factor means for both subscales were shown to be invariant across gender. Furthermore, both subscales were positively related to homework purposes and behaviors (effort and completion) in the theoretically expected directions. Meanwhile, math performance was positively related to emotion management, but not cognitive reappraisal.

Emotions in uniform: How nurses regulate emotion at work via emotional boundaries

2011 ◽  
Vol 64 (11) ◽  
pp. 1501-1523 ◽  
Author(s):  
Renae Maree Hayward ◽  
Michelle Rae Tuckey
Keyword(s):  
Emotion Regulation ◽  
Content Analysis ◽  
Personal Development ◽  
Emotion Management ◽  
Interview Data ◽  
Knowledge Development ◽  
Emotional Distance ◽  
Professional Self

The management of emotions at work has been conceptualized in terms of its association with emotional inauthenticity and dissonance. In contrast, we integrate the idea of emotion regulation at work with basic strategic and adaptive functions of emotion, offering a new way of understanding how emotions can be harnessed for task achievement and personal development. Through a content analysis of interview data we examined how and why emotion regulation is carried out by employees, focusing on the in situ experiences of nurses. The manipulation of emotional boundaries, to create an emotional distance or connection with patients and their families, emerged as a nascent strategy to manage anticipated, evolving, and felt emotions. The emotional boundary perspective offers possibilities for knowledge development that are not rooted in assumptions about the authenticity of emotion or the professional self but that instead account for the dynamic, complex, multi-layered, and adaptive characteristics of emotion management.

Eliciting Local Spatial Knowledge for Community-Based Disaster Risk Management

2013 ◽  
pp. 961-975 ◽  
Author(s):  
Valentina Spanu ◽  
Michael Keith McCall
Keyword(s):  
Risk Management ◽  
Data Collection ◽  
Field Data ◽  
Disaster Risk ◽  
Spatial Knowledge ◽  
Disaster Risk Management ◽  
Participatory Gis ◽  
The Social ◽  
Practical Experiences ◽  
And Coping

CyberTracker (CT) participatory field data collection software is used as an element of Participatory GIS for acquiring, geo-referencing, storing and transferring local spatial knowledge. It has been developed initially for animal tracking, ecological surveys and conservation management activities, but has extended into the social environment for health and welfare surveys, and it is being applied to social data collection about hazards, vulnerability and coping mechanisms in disaster risk management. This article provides a critical guide of CyberTracker under field conditions with representative participation. The practical experiences informing this critical review of field operations come from employing CyberTracker with staff of NGOs and local government agencies in a workshop in two hazard-prone communities in the Caucasus Mountains of Georgia.

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