A NOVEL FRAMEWORK BASED ON THE IMPROVED JOB DEMANDS-RESOURCES (JD-R) MODEL TO UNDERSTAND THE IMPACT OF JOB CHARACTERISTICS ON JOB BURNOUT FROM THE VIEW OF EMOTION REGULATION THEORY

Background: It has been suggested that individual job characteristics have a significant impact on job burnout, and the process is subject to the regulation of demographic variables. However, the influence path of job characteristics on job burnout is still a "black box". Subjects and methods: On the basis of a systematic literature review by employing Pub Med, Science Direct, Web of Science, Google Scholar, CNKI and Scopus for required information with the several keywords "Job burnout", "Emotion regulation", "Personality traits", and "Psychological stress", in this study, an improved mine rescue workers-oriented job demands-resources (JD-R) model was put forward. Then, a novel analysis framework, to explore the impact of job characteristics on job burnout from the view of emotion regulation theory, was proposed combining the personality trait theory. Results: This study argues that job burnout is influenced by job demands through expressive suppression and by job resources through cognitive reappraisal respectively. Further more, job demands and job resources have the opposite effects on job burnout through the "loss-path" caused by job pressure and the "gain-path" arised from job motivation, respectively. Extrovert personality traits can affect the way the individual processes the information of work environment and then how individual further adopts emotion regulation strategies, finally resulting in indirectly affecting the influence path of mine rescue workers\u27 job characteristics on job burnout. Conclusions: This present study can help managers to realize the importance of employees\u27 psychological stress and job burnout problems. The obtained conclusions provide significant decision-making references for managers in intervening job burnout, managing emotional stress and mental health of employees

The experimental study on vibration characteristics of high-speed turbine generator bearing rotor system

This study investigates the effect of gas supply pressure on power frequency amplitude, critical speed of rotation, whirl frequency and its corresponding power frequency, as well as on whip frequency and its corresponding power frequency on the basis of a high-speed turbine generator bearing-rotor system supported by a gas bearing and with changes in bearing gas supply pressure. Experimental results show that the optimization of gas supply pressure will reduce power frequency amplitude, improve critical speed, and delay the occurrence of whirl and whip. Under these conditions, the stability of the bearing-rotor system is improved, thus providing an experiment basis for the on-line monitoring and control of high-speed turbine generator operation

Decadal Temperature Prediction via Chaotic Behavior Tracking

Decadal temperature prediction provides crucial information for quantifying the expected effects of future climate changes and thus informs strategic planning and decision-making in various domains. However, such long-term predictions are extremely challenging, due to the chaotic nature of temperature variations. Moreover, the usefulness of existing simulation-based and machine learning-based methods for this task is limited because initial simulation or prediction errors increase exponentially over time. To address this challenging task, we devise a novel prediction method involving an information tracking mechanism that aims to track and adapt to changes in temperature dynamics during the prediction phase by providing probabilistic feedback on the prediction error of the next step based on the current prediction. We integrate this information tracking mechanism, which can be considered as a model calibrator, into the objective function of our method to obtain the corrections needed to avoid error accumulation. Our results show the ability of our method to accurately predict global land-surface temperatures over a decadal range. Furthermore, we demonstrate that our results are meaningful in a real-world context: the temperatures predicted using our method are consistent with and can be used to explain the well-known teleconnections within and between different continents

Surgical treatment of left ventricular fibroma accompanied with ventricular septal defect in an infant: a case report

Competition in the banking sector is different from the competition in the other sectors. Banks can compete only on the basis of banking products. Also, banks are dependent on each other – actions of every market participant may strongly affect the others. Problems of one bank may encourage distrust of the entire banking system. Analysis of Lithuanian banking sector has showed that country’s banking sector can be divided into three groups – the biggest banks, smaller and medium-sized banks and foreign banks branches. The largest part of banking sector is concentrated in activity of the three banks. All these banks are owned by Scandinavian capital. Lithuanian banking sector is highly concentrated. In 2005-2012 years the average mean of three banks concentration index (CR3) in deposits, assets and loans markets was 68 percent. According to these high values of concentration rates, Lithuanian banking sector can be characterized as oligopoly

Analytical analysis on damping characteristics of rotor system

A general vibration model of a flexible rotor system is established to investigate the influences of the damping characteristics on vibration behaviors. Based on the multi-scale method, the analytical solutions of steady-state and transient-state are derived under the positive and negative conditions of nonlinear damping. The physical significance of the coefficients and their influences on rotor behaviors are analyzed through theoretical analysis and numerical calculation. The experimental results elaborate the damping effect and verify the rationality of the model

Hopf bifurcation and stability analysis of flexible rotor-bearing system

Analytical model of a long bearing was used to study the self-excited vibration of a single disc flexible rotor-bearing system on sliding bearing support. A shooting method was applied to track and acquire periodic solution of flexible rotor system after the Hopf bifurcation. Stability of periodic solution was analyzed on the basis of Floquet theory. Gas film eddying, oscillation and other nonlinear features were considered. High-speed air hybrid bearing test-bed was used to verify gas film oscillation arising from coupling between natural frequency and gas film eddying frequency. The “bounded” nature of chaotic vibration and the process of rubbing caused by instability of air film were observed. Finally, a distinguishing criterion named “practical stability” was provided

Multi-channel and multi-scale mid-level image representation for scene classification

Convolutional neural network (CNN)-based approaches have received state-of-the-art results in scene classification. Features from the output of fully connected (FC) layers express one-dimensional semantic information but lose the detailed information of objects and the spatial information of scene categories. On the contrary, deep convolutional features have been proved to be more suitable for describing an object itself and the spatial relations among objects in an image. In addition, the feature map from each layer is max-pooled within local neighborhoods, which weakens the invariance of global consistency and is unfavorable to scenes with highly complicated variation. To cope with the above issues, an orderless multi-channel mid-level image representation on pre-trained CNN features is proposed to improve the classification performance. The mid-level image representation of two channels from the FC layer and the deep convolutional layer are integrated at multi-scale levels. A sum pooling approach is also employed to aggregate multi-scale mid-level image representation to highlight the importance of the descriptors beneficial for scene classification. Extensive experiments on SUN397 and MIT 67 indoor datasets demonstrate that the proposed method achieves promising classification performance

Experimental research on dynamic characteristics of gas bearing-rotor with different radial clearances

The test rig of gas bearing-rotor system was established. The rotor was composed of turbine, compressor and four disks, it was supported by hydrostatic gas bearings. With this test rig, the dynamics of rotor bearing system with different bearing radial clearances were researched. Rotating speed of shaft could be higher with large bearing clearance, but speed soaring and low frequency oscillation occurred were dangerous to the shaft; with small bearing clearance, the speed soaring and low frequency oscillation could be eliminated and the dynamic characteristic was good, but rubbing deceleration was more likely to happen. Make a contrast of the dynamics with different radial clearances, it could be found that the dynamic characteristic of small radial clearance was good, but the threshold of safe amplitude was small, which limited the maximum speed