THERE is no attempt made to be mathematical in tliis article, as it aims to interest the non‐statistical inquirer in the possibilities in a type of undeveloped quality control…
Abstract
THERE is no attempt made to be mathematical in tliis article, as it aims to interest the non‐statistical inquirer in the possibilities in a type of undeveloped quality control suited to much of our modern industry. Many of our most promising industries are only in the experimental phase, and thus success in international markets after the war is going to depend on the efficiency of the experiments undertaken. Such a statement applies to most modern light engineering industries, but is particularly true of the aircraft industry.
Mr Rissik needs little introduction to engineers, least of all to readers of Aircraft Engineering, since much that is contained in his latest book on Quality Control was…
Abstract
Mr Rissik needs little introduction to engineers, least of all to readers of Aircraft Engineering, since much that is contained in his latest book on Quality Control was foreshadowed in articles published in this Journal during the war years.
THE types and location of landing fields needed, the relative extent of commercial and passenger traffic, the problem of access and egress to and from airports and the whole gamut…
Abstract
THE types and location of landing fields needed, the relative extent of commercial and passenger traffic, the problem of access and egress to and from airports and the whole gamut of airway safety questions, are all involved in the physical set‐up of post‐war air developments.
Abstract
Various experimental groups have reported observation of both integer and fractional giant Shapiro steps in the I‐V curves of N×M arrays of superconducting‐normal metal‐superconducting (SNS) Josephson junctions. The size of these steps have been investigated both experimentally and theoretically as a function of temperature, external magnetic field, and rf current. In this report, we investigate the possibility of controlling the size of these giant Shapiro steps by an external gate voltage by considering arrays of superconductor‐semiconductor‐superconductor junctions. We show that giant Shapiro steps of different orders can be quenched over different gate voltage ranges in these arrays.
THE practical importance of preventing large vibrations in aircraft results from the two main effects of vibration, discomfort and danger. The discomfort aspect should not be…
Abstract
THE practical importance of preventing large vibrations in aircraft results from the two main effects of vibration, discomfort and danger. The discomfort aspect should not be disregarded, or dismissed as unimportant in comparison with the danger aspect. Both in military and in civil machines, discomfort from any cause is to be avoided if at all possible, as it can very seriously impair the operational efficiency of the air‐crew and lessen the attractiveness of flying as a means of transport. The provision of an adequate margin of safety is, however, essential, and this aspect is therefore of more immediate interest and importance to the engineer.
Anchal Luthra, Shivani Dixit and Vikas Arya
The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning…
Abstract
Purpose
The faculties are crucial to education. They should have enough training facilities and be encouraged to actively contribute to high-quality education and successful learning. Faculty engagement and development activities should be explored and included in learning organizations and employee engagement in India. This paper aims to describe higher education as a learning organization. The research will also assess how faculty development programs affect faculty engagement behaviors in these institutions and if professional development mediates this effect, which has not been previously examined.
Design/methodology/approach
This study was conducted with quantitative data collected from 267 faculties through reliable and validated adapted questionnaires. Semistructured interviews were conducted with heads and professor-level faculties to gain insights into faculty development and engagement. Partial least squares structural equation modeling technique (PLS-SEM 3.3.6 version) was used to test the conceptually drafted model.
Findings
Faculty professional development programs shown to improve higher education faculty engagement and professional progress. The studies also showed that higher education institutions must prioritize faculty development to become learning organizations. Professional development reduced the direct effects of faculty development program (FDP) on faculty engagement. This suggests that professional growth mediates the research.
Practical implications
This research emphasizes and professional development to boost teacher involvement in B-Schools. Management must design faculty development programs to construct professional development and learning organizations, according to the results. Developing and writing rules that encourage faculty engagement in such internal and external programs would also enhance their academic and administrative abilities and assist higher education institutions become learning organizations.
Originality/value
The study is one of the few to examine the impact of faculty development programs and professional development on faculty engagement in higher education institutions, particularly B-Schools, and its competitive mediating role.
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Han-Ying Liang, Yu Shen and Qiying Wang
Joon Y. Park is one of the pioneers in developing nonlinear cointegrating regression. Since his initial work with Phillips (Park & Phillips, 2001) in the area, the past two…
Abstract
Joon Y. Park is one of the pioneers in developing nonlinear cointegrating regression. Since his initial work with Phillips (Park & Phillips, 2001) in the area, the past two decades have witnessed a surge of interest in modeling nonlinear nonstationarity in macroeconomic and financial time series, including parametric, nonparametric and semiparametric specifications of such models. These developments have provided a framework of econometric estimation and inference for a wide class of nonlinear, nonstationary relationships. In honor of Joon Y. Park, this chapter contributes to this area by exploring nonparametric estimation of functional-coefficient cointegrating regression models where the structural equation errors are serially dependent and the regressor is endogenous. The self-normalized local kernel and local linear estimators are shown to be asymptotic normal and to be pivotal upon an estimation of co-variances. Our new results improve those of Cai et al. (2009) and open up inference by conventional nonparametric method to a wide class of potentially nonlinear cointegrated relations.
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The discrete Fourier transform (dft) of a fractional process is studied. An exact representation of the dft is given in terms of the component data, leading to the frequency…
Abstract
The discrete Fourier transform (dft) of a fractional process is studied. An exact representation of the dft is given in terms of the component data, leading to the frequency domain form of the model for a fractional process. This representation is particularly useful in analyzing the asymptotic behavior of the dft and periodogram in the nonstationary case when the memory parameter
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New asymptotic approximations are established for the Wald and t statistics in the presence of unknown but strong autocorrelation. The asymptotic theory extends the usual…
Abstract
New asymptotic approximations are established for the Wald and t statistics in the presence of unknown but strong autocorrelation. The asymptotic theory extends the usual fixed-smoothing asymptotics under weak dependence to allow for near-unit-root and weak-unit-root processes. As the locality parameter that characterizes the neighborhood of the autoregressive root increases from zero to infinity, the new fixed-smoothing asymptotic distribution changes smoothly from the unit-root fixed-smoothing asymptotics to the usual fixed-smoothing asymptotics under weak dependence. Simulations show that the new approximation is more accurate than the usual fixed-smoothing approximation.
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This chapter develops an asymptotic theory for a general transformation model with a time trend, stationary regressors, and unit root nonstationary regressors. This model extends…
Abstract
This chapter develops an asymptotic theory for a general transformation model with a time trend, stationary regressors, and unit root nonstationary regressors. This model extends that of Han (1987) to incorporate time trend and nonstationary regressors. When the transformation is specified as an identity function, the model reduces to the conventional cointegrating regression, possibly with a time trend and other stationary regressors, which has been studied in Phillips and Durlauf (1986) and Park and Phillips (1988, 1989). The limiting distributions of the extremum estimator of the transformation parameter and the plug-in estimators of other model parameters are found to critically depend upon the transformation function and the order of the time trend. Simulations demonstrate that the estimators perform well in finite samples.