This paper investigates links between social capital and symbolic capital and responsible entrepreneurship in the context of small and medium enterprises (SMEs). The source of the primary data was 144 ‘Business Profiles’, written by the owner-managers of small businesses in application for a Small Business Awards competition in 2005. Included in each of these narratives were claims relating to the firms’ contributions to wider society, relationships with customers, employees and stakeholders. These narratives were coded and classified in a framework drawn (...) from Nahapiet and Ghoshal’s (1998, Academy of Management Review 23(2), 242–266) categorisation of social capital. The analysis revealed a range of strategic orientations towards the development of social and symbolic capital, along a conceptual continuum ranging from being responsible for oneself to being responsible for others. Overall, the evidence demonstrates the significance of the power inherent in the social relations of SMEs as a force for ethical behaviour, and suggests that normative theories of the development of social capital may provide ‘competitive advantage’ through responsible behaviour for small business in the global economy. (shrink)
For the optimal design of electromagnetic devices, it is the most time consuming to obtain the training samples from full wave electromagnetic simulation software, including HFSS, CST, and IE3D. Traditional machine learning methods usually use only labeled samples or unlabeled samples, but in practical problems, labeled samples and unlabeled samples coexist, and the acquisition cost of labeled samples is relatively high. This paper proposes a semisupervised learning Gaussian Process, which combines unlabeled samples to improve the accuracy of the GP model (...) and reduce the number of labeled training samples required. The proposed GP model consists two parts: initial training and self-training. In the process of initial training, a small number of labeled samples obtained by full wave electromagnetic simulation are used for training the initial GP model. Afterwards, the trained GP model is copied to another GP model in the process of self-training, and then the two GP models will update after crosstraining with different unlabeled samples. Using the same test samples for testing and updating, a model with a smaller error will replace another. Repeat the self-training process until a predefined stopping criterion is met. Four different benchmark functions and resonant frequency modeling problems of three different microstrip antennas are used to evaluate the effectiveness of the GP model. The results show that the proposed GP model has a good fitting effectiveness on benchmark functions. For microstrip antennas resonant frequency modeling problems, in the case of using the same labeled samples, its predictive ability is better than that of the traditional supervised GP model. (shrink)
The depth of detection, which is an important concept in logging data interpretation, describes the detection capability of the borehole measurements. We have extended the definition of DOD for azimuthal information, namely, the geosignal delivered by azimuthal resistivity tools, to resistivity logs in logging-while-drilling applications. Instead of using the radial geometric factor, the detection thresholds in predicting a geologic boundary are used to describe the DOD of a measurement. This definition unifies the criteria to evaluate the detectability of different borehole (...) measurements, such as LWD resistivity measurements and geosignals. It also can be generalized to other kinds of well logging methods in LWD applications. Using the proposed definition, we analyze the detection capability of the LWD resistivity measurements in looking-around and looking-ahead applications; they provide more tangible descriptions. In vertical or near-vertical wells, the definition provides an indicator to evaluate the capability and reliability of looking ahead of deep/ultradeep LWD resistivity tools. The investigations on the influence of the DOD on the distance-to-boundary inversion, which can help in developing a robust and accurate inversion scheme, also are presented and discussed. (shrink)
This paper addresses variable-time impulsive control for coordinated tracking problem in nonlinear multiagent systems. To make followers coordinately track the leader, a variable-time impulsive controller is designed. Under some well-selected conditions, the comparison system of variable-time impulsive tracking control system is constructed by employing B-equivalence method. And we theoretically demonstrate that the two systems have the same stability property. Coordinated tracking criteria of multiagent systems are obtained by considering the comparison system. Numerical simulation is also provided to illustrate the correctness (...) of theoretical results and the efficiency of the variable-time impulsive controller. (shrink)
This study aimed to explore the mediating effects of internet gaming disorder, social network use, and generalized pathological internet use on the association between loneliness and depression. A total of 2211 junior high school students completed questionnaires regarding loneliness, internet gaming disorder, social network use, GPIU, and depression. The results of a structural equation model revealed that the path coefficient of loneliness to depression was significantly positive, loneliness could not predict depression through GPIU directly, but loneliness could predict depression through (...) internet gaming disorder to GPIU, loneliness could predict depression through social network use to GPIU, and loneliness could not predict depression through internet gaming disorder to social network use to GPIU. These results provided significant implications for the prevention and reduction of depression in Chinese junior high school students. (shrink)
