Past research suggests that spiritual leadership plays a pivotal role in enhancing employee job performance, yet we have little understanding of how and when spiritual leadership enhances employee job performance. The present study explores how and when spiritual leadership promotes job performance by examining relational energy as a mediator and leader integrity and relational energy differentiation as boundary conditions. We tested the theoretical model with data gathered across three phases over 12 months from 497 employees and their supervisors in 108 (...) groups. Results showed that the positive relationship between spiritual leadership and job performance was mediated by relational energy. Moreover, we found that leader integrity amplified the mediated relationship between spiritual leadership and employee job performance via relational energy. In contrast, relational energy differentiation weakened this mediated relationship. (shrink)

Medical image segmentation is a key technology for image guidance. Therefore, the advantages and disadvantages of image segmentation play an important role in image-guided surgery. Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. Deep learning theory has good generalizability and feature extraction ability, which provides a new idea for solving medical image segmentation problems. However, deep learning has problems in terms of its application (...) to medical image segmentation: one is that the deep learning network structure cannot be constructed according to medical image characteristics; the other is that the generalizability y of the deep learning model is weak. To address these issues, this paper first adapts a neural network to medical image features by adding cross-layer connections to a traditional convolutional neural network. In addition, an optimized convolutional neural network model is established. The optimized convolutional neural network model can segment medical images using the features of two scales simultaneously. At the same time, to solve the generalizability problem of the deep learning model, an adaptive distribution function is designed according to the position of the hidden layer, and then the activation probability of each layer of neurons is set. This enhances the generalizability of the dropout model, and an adaptive dropout model is proposed. This model better addresses the problem of the weak generalizability of deep learning models. Based on the above ideas, this paper proposes a medical image segmentation algorithm based on an optimized convolutional neural network with adaptive dropout depth calculation. An ultrasonic tomographic image and lumbar CT medical image were separately segmented by the method of this paper. The experimental results show that not only are the segmentation effects of the proposed method improved compared with those of the traditional machine learning and other deep learning methods but also the method has a high adaptive segmentation ability for various medical images. The research work in this paper provides a new perspective for research on medical image segmentation. (shrink)

Recent decades have brought global expansion of private supplementary tutoring, and China is among countries in which patterns have been especially dramatic. National survey data indicate that 29.8...

This study was the first to integrate the quantitative analysis and simulation of spatiotemporal processes into research on the ethnicity of tourist destinations. Selecting the world heritage site of Jiuzhaigou in China as a case study, we employed remote sensing images and field observation to obtain the spatial distribution data of the site’s architectural ethnicity of 2005 and 2015. Logistic regression analysis was used to determine the mechanism driving changes in architectural ethnicity. Then, we proposed a Logistic-CA-Markov coupling model to (...) analyse architectural ethnicity transformations and simulate the spatiotemporal patterns of the ethnicity of architecture at the site in 2025 and 2035. It was found that from 2005 to 2015, the overall architectural ethnicity at the heritage site trended downwards and displayed an uneven spatial distribution: weak ethnicity in the west and strong in the east. A tight relationship was found between the ethnicity of heritage architecture and the level of tourism development although the ethnicity of tourism architecture was weaker than that of nontourism architecture, and the ethnicity of tourism architecture was continuously strengthening. Factors affecting spatial changes in architectural ethnicity mainly included altitude, slope, distance from main transport lands and waters, and the original type of ethnicity. It is expected that, from 2015 to 2035, the overall architectural ethnicity in Jiuzhaigou will increase. (shrink)

The concept of _feeling trusted_, which has received far less attention from researchers than _trusting_, refers to the trustee’s awareness of trustor’s exposed vulnerability and positive expectations. Previous research has merely centered on employees’ feeling of being trusted by their leaders and its influences on their work-related outcomes, but there is little work about the impact of leader feeling trusted by employees. Grounded in social exchange theory and moral licensing theory, the current research centers on explaining why leaders’ sense of (...) being trusted by employees brings about both positive and negative reactions and considering how leaders’ moral identity moderates these effects. One qualitative study and two quantitative studies were conducted to examine the benefits and drawbacks of leader feeling trusted. Results demonstrated that leader feeling trusted has two main consequences: trusted leaders are more likely to have strong feelings of obligation toward their subordinates, and further engage in benevolent leadership behavior to repay the kindness; and leaders’ sense of being trusted may be conducive to the accumulation of moral credits, thereby stimulating leaders to display laissez-faire leadership behavior. Additionally, our findings indicate that the leader’s moral identity would affect the decisions of the trusted leader to behave better or worse, which promotes benevolent leadership behavior through enhanced felt obligation, and lessens laissez-faire leadership behavior via reduced moral credits. (shrink)

The oscillations on output power and distortion of the inverter currents will occur in the case of unbalanced grid voltage faults. Constant output power and good current quality cannot be achieved simultaneously. Aiming at these problems, a coordinate control strategy for suppressing power fluctuations and current harmonics is proposed by analyzing instantaneous power control and current balance control. The proposed control is achieved by adjusting the weight coefficient of current reference values to change the current harmonic contents based on proportional (...) complex integral controller and proportional multiple complex integral controller. The control strategy with a simple control structure neither needs to detect harmonic components of the inverter currents, nor needs to separate the positive and negative components of voltage and current, which is easy to be realized. The feasibility and effectiveness of the proposed control are verified by the comparison and analysis of simulation. (shrink)

PurposeThe purpose of this study was to introduce an orthogonal experimental design to improve the efficiency of building and optimizing models for freezing of gait prediction.MethodsA random forest model was developed to predict FOG by using acceleration signals and angular velocity signals to recognize possible precursor signs of FOG. An OED was introduced to optimize the feature extraction parameters.ResultsThe main effects and interaction among the feature extraction hyperparameters were analyzed. The false-positive rate, hit rate, and mean prediction time were 27%, (...) 68%, and 2.99 s, respectively.ConclusionThe OED was an effective method for analyzing the main effects and interactions among the feature extraction parameters. It was also beneficial for optimizing the feature extraction parameters of the FOG prediction model. (shrink)

Based on the quarterly data of mutual funds in China from the fourth quarter of 2004 to the fourth quarter of 2019, this paper constructs a series of complex bipartite networks based on the overlapped portfolios of mutual funds and then explores the influences of fund network position on mutual fund’s investment behavior and performance. This paper finds that a mutual fund with shorter information transmission path to other entities in the fund network or with stronger ties with those entities (...) in important information positions will achieve better investment performance. However, a stronger mediating role over the potential information flow of the fund network cannot help a mutual fund increase performance. The empirical results also indicate that a mutual fund holding stock portfolios with high valuation difficulties caused by the market or fundamental information uncertainty will achieve better investment performance, while holding hard-to-value portfolios caused by limited public information will reduce the performance of the fund. Furthermore, high closeness centrality or eigenvector centrality can help mutual funds deal with the disclose problems of public information, thus reducing the likelihood of a mutual fund holding hard-to-value portfolios caused by limited public information to achieve worse performance. Eigenvector centrality brings information advantages about company fundamentals, so it is easier for a mutual fund with high eigenvector centrality to profit from holding hard-to-value portfolios caused by the fundamental information uncertainty. The conclusions of this paper can enhance our understanding of the fund network and its information mechanism and shed new light on mutual fund’s information advantages and related asset allocation strategies. (shrink)

Epilepsy is a neurological disease, and the location of a lesion before neurosurgery or invasive intracranial electroencephalography surgery using intracranial electrodes is often very challenging. The high-frequency oscillation mode in MEG signal can now be used to detect lesions. Due to the time-consuming and error-prone operation of HFOs detection, an automatic HFOs detector with high accuracy is very necessary in modern medicine. Therefore, an optimized capsule neural network was used, and a MEG HFOs detector based on MEGNet was proposed to (...) facilitate the clinical detection of HFOs. To the best of our knowledge, this is the first time that a neural network has been used to detect HFOs in MEG. After optimized configuration, the accuracy, precision, recall, and F1-score of the proposed detector reached 94%, 95%, 94%, and 94%, which were better than other classical machine learning models. In addition, we used the k-fold cross-validation scheme to test the performance consistency of the model. The distribution of various performance indicators shows that our model is robust. (shrink)

The integration of event-related potential and functional magnetic resonance imaging helps to obtain and study neural networks with high temporal and spatial resolution. EEG/fMRI data proves that in the visual tristimulus oddball paradigm, two P300 potentials induced by target stimulation and novel stimulation are detected at the frontal-middle, center, and mid-apical electrodes. Previous studies have shown that P3a and P3b have different spatial distributions of brain activation, but it is unclear whether they have the same neural mechanism. The purpose of (...) this study is to determine the neuropsychological mechanisms of P3a and P3b, as well as the spatiotemporal differences in neurodynamics between the two ERP subcomponents. In a group of 25 subjects, P300 ERP induced by target stimulation and novel stimulation can be detected at the Fz, Cz, and Pz electrodes. At Cz and Fz, compared with P3b related to the target stimulus, the P3a related to the novel stimulus has a higher amplitude and the waveform declines more slowly. But at Pz, P3b has a higher amplitude than P3a. P3a appeared earlier than P3b at Cz and Fz, but the opposite phenomenon was observed at the Pz electrode. The activated brain regions of P3a included the left frontal-parietal lobe region, left anterior wedge lobe region, and right insula, while the target-driven P3b was significantly associated with BOLD changes in the bilateral fusiform gyrus, the left frontal region, and the bilateral insula. The results showed that the integration of the spatial and temporal information of the two imaging modes, namely, ERP and fMRI, proves the existence of the different brain function processes of the two P300 subcomponents. Through the analysis of the composition of P300, the results further proved that the top-down and bottom-up processing processes have played a role in the occurrence of attention capture. It is just that the modulation effects of the two processing mechanisms are different in different tasks. Therefore, it should be noted that the captured neural mechanism is not a single top-down or bottom-up processing process but should be the result of the interaction between the two. (shrink)

The terminology tianxia has both historical evolution and cultural and philosophical connotations. This concept not only denotes a geographical and spatial meaning, but also implies the moral construct of metaphysics. A systematic study of its historical and cultural repercussions can show that the evolution of the meaning "tianxia" not only embodies the cosmological construction, moral belief and self-identity of the Chinese nation, but also manifests the historical processes of modern China evolving from "tianxia" to a modern nation-state. Meanwhile, the deconstruction (...) of the tianxia cosmology has shattered the old Chinese concept of a single united tianxia, or the whole world under one Heaven. Also, "Confucian China" has been increasingly losing its vitality and strong hold on the people, while the concept of nation-state has gained its way into people's consciousness, which has added more diversity and open-mindedness to the concept of tianxia. (shrink)

Telehealth, as an indispensable means of technical support in the Healthy China Strategy, currently has less than 20 percent adoption rate in China despite a great deal of government policies and investments. In the current study, to analyse the influencing factors behind doctors’ and patients’ adoption of telehealth, an asymmetric dynamic evolutionary game model of doctor-patient behaviour selection was established. Based on the model solution, the evolutionarily stable strategies that emerge in different situations were analysed. The results show that it (...) is difficult for the adoption of telehealth in China to keep pace with coverage due to the “dual low” nature of telehealth: both doctors’ utility from telehealth and patients’ telehealth cost threshold are too low to incentivize adoption. The strategy to promote the adoption of telehealth in China should include providing adequate training for doctors and patients on the use of telehealth technology, rewarding doctors who provide telehealth services and raising the threshold cost of patient’s telehealth adoption. (shrink)

In this study, we examine the association between the ownership structure of Chinese listed firms and their audit choices among the Big 4, Second-tier, and Other firms between 2007 and 2012. The market share of the Big 4 firms in China was relatively low, while that of the Second-tier firms increasing during the sample period. Although there is little evidence to indicate that the audit quality of the Second-tier firms is not comparable to that of the Big 4 firms in (...) China, we find that large shareholders and boards of directors do not perceive the financial reporting credibility associated with the Second-tier firms to be the same as that of the Big 4 firms. We further find that the largest shareholders of Chinese listed firms prefer low-quality auditors when they have a low level of ownership but prefer high-quality auditors when they have a high level of ownership. The empirical evidence presented in this study should be of interest to regulators and academics. (shrink)

With the deepening of exploration and development, a large number of low resistivity reservoirs have been found in XP area. It is found that the genesis of these low resistivity reservoirs is that the reservoirs contain a lot of very fine sand, which leads to the high content of bound water in the reservoirs and reduces the resistivity. Compared with normal oil reservoirs, these reservoirs show low resistivity and high natural gamma, which makes it difficult to identify reservoirs qualitatively and (...) calculate parameters quantitatively. Using conventional logging interpretation methods, the wrong shale content and porosity will be obtained, and such reservoirs may even be judged as mudstones. In order to solve this problem, we extract a characteristic parameter from T2 spectrum of nuclear magnetic resonance logging, which can effectively identify such reservoirs. In addition, we have innovatively proposed an optimized logging interpretation method for integrated NMR logging and conventional logging, which has effectively improved the parameter calculation accuracy of this type of reservoir and achieved a good application effect in XP area. (shrink)

This paper claims that palliative care is a suitable approach for offering comprehensive support to patients with life-threatening illness and unavoidable asthenia, to enhance their quality of life in aging and chronic illness. There are however some conceptual barriers to accessing that care on the Chinese Mainland: Death-denying culture and society; Misguidance and malpractice derived from the biomedical model; Prejudice against PC and certain deviant understandings of filial piety culture. To counter these obstacles, the study introduces the philosophy of Chinese (...) Taoist Chuang-tze to enlighten the public from ignorance and remove some illusions about death and dying; inspire people to face and accept illness and death calmly, and keep harmony and inner peace of mind to alleviate suffering, with the aim of providing wisdom and a shift of attitude toward life and death. Chuang-tze’s thoughts are consistent with the provision of palliative care, and to a certain degree, can promote its acceptability and delivery, and the conception of good death in practice. (shrink)

With the deepening of exploration and development, many low-resistivity reservoirs have been found in the XP area. We have found that the genesis of these low-resistivity reservoirs is that they contain a lot of very fine sand, which leads to the high content of bound water in the reservoirs and reduces resistivity. Compared with normal oil reservoirs, these reservoirs show low resistivity and high natural gamma, which makes it difficult to identify reservoirs qualitatively and calculate parameters quantitatively. Using conventional logging (...) interpretation methods, the wrong shale content and porosity will be obtained, and such reservoirs may even be judged as mudstones. To solve this problem, we extract a characteristic parameter from the T2 spectrum of nuclear magnetic resonance logging, which can effectively identify such reservoirs. In addition, we have innovatively adopted an optimized logging interpretation method for integrated NMR logging and conventional logging, which has effectively improved the parameter calculation accuracy of this type of reservoir and achieved a good application effect in the XP area. (shrink)

In this paper, we propose a time-delayed predator-prey model with Holling-type II functional response, which incorporates the gestation period and the cost of fear into prey reproduction. The dynamical behavior of this system is both analytically and numerically investigated from the viewpoint of stability, permanence, and bifurcation. We found that there are stability switches, and Hopf bifurcations occur when the delay τ passes through a sequence of critical values. The explicit formulae which determine the direction, stability, and other properties of (...) the bifurcating periodic solutions are given by using the normal form theory and center manifold theorem. We perform extensive numerical simulations to explore the impact of some important parameters on the dynamics of the system. Numerical simulations show that high levels of fear have a stabilizing effect while relatively low levels of fear have a destabilizing effect on the predator-prey interactions which lead to limit-cycle oscillations. We also found that the model with or without a delay-dependent factor can have a significantly different dynamics. Thus, ignoring the delay or not including the delay-dependent factor might result in inaccurate modelling predictions. (shrink)

This paper concerns a discrete wild and sterile mosquito model with a proportional release rate of sterile mosquitoes. It is shown that the discrete model undergoes codimension-2 bifurcations with 1 : 2, 1 : 3, and 1 : 4 strong resonances by applying the bifurcation theory. Some numerical simulations, including codimension-2 bifurcation diagrams, maximum Lyapunov exponents diagrams, and phase portraits, are also presented to illustrate the validity of theoretical results and display the complex dynamical behaviors. Moreover, two control strategies are (...) applied to the model. (shrink)