2,266 research outputs found

    Characteristic and sensing properties of near- and mid-Infrared optical fibres

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    The work within this thesis investigates the characteristics and sensing properties of novel near- and mid-infrared tellurite and germanate glass fibres and their potential as sensing elements. An asymmetric splicing method for fusion-splicing tellurite and germanate glass fibres to standard silica fibre is demonstrated. The thermal and strain sensing properties of these glass fibres have been studied by analysing the properties of optical fibre Fabry-Perot cavities, which were formed when these high refractive index fibres were spliced to silica fibre, and fibre Bragg gratings. Using fibre F-P interferometer, the normalized thermal sensitivity of tellurite and germanate fibre was measured to be 10.76×10-6/°C and 15.56×10-6/°C respectively, and the normalized strain sensitivity of tellurite and germanate fibre was also measured with values of 0.676×10-6 /με and 0.817×10-6 /με respectively. These results show good agreement with measurements using fibre Bragg gratings in these fibres and are reasonably consistent with the values predicted using available published data for glasses of similar compositions. Tellurite and germanate glass fibres show potential as thermal sensing and load sensing elements compared with silica fibre. The design of an evanescent field gas sensor using tapered germanate fibre for methane gas species detection was investigated and modelled. This model shows the maximum gas cell length (sensing fibre length), detectable gas concentration range, and required gas cell length range for the expected minimum detectable gas concentration of a fibre evanescent field sensor, which gives guidance for the effective gas cell length choosen according to different minimum detectable gas concentration requirement in practise. The investigation of tellurite and germanate glass fibre characteristics and sensing properties offer guidance for their applications in sensing areas.Engineering and Physical Sciences Research Council (EPSRC

    Work Motivation and Performance Appraisal: The Chinese College Instructors Perceived Procedural Fairness of Moderating Effect

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    This article aimed to clarify the mechanism of performance appraisal on college instructors’ teaching and research performance by constructing a moderated mediation model. By surveying 407 Chinese public college instructors on the performance appraisal model, work motivation, job (teaching and research) performance, and procedural fairness using a questionnaire, the research performed descriptive and regression analyses. It is the first time to explore the impact of different performance appraisal on college instructors’ teaching and research performance through empirical methods, which enriches the theoretical literature of performance appraisal, and has guiding role for college to reasonably determine instructors’ performance appraisal model, indicators and methods. The results showed that: (1) Performance appraisal and work motivation positively affect college instructors’ teaching and research performance. (2) Intrinsic motivation plays a mediating role in the relationship between developmental assessment and job performance;extrinsic motivation mediates evaluative assessment and teaching performance. (3) The direct effect of performance appraisal on instructors’ job performance and the mediating effect of work motivation on the relationship between them are moderated by the perceived fairness of the performance appraisal procedure. These findings help understand the relationship and mechanism between faculty performance appraisal and job performance, enlightening the rational use of performance appraisal in higher education

    Regularize implicit neural representation by itself

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    This paper proposes a regularizer called Implicit Neural Representation Regularizer (INRR) to improve the generalization ability of the Implicit Neural Representation (INR). The INR is a fully connected network that can represent signals with details not restricted by grid resolution. However, its generalization ability could be improved, especially with non-uniformly sampled data. The proposed INRR is based on learned Dirichlet Energy (DE) that measures similarities between rows/columns of the matrix. The smoothness of the Laplacian matrix is further integrated by parameterizing DE with a tiny INR. INRR improves the generalization of INR in signal representation by perfectly integrating the signal's self-similarity with the smoothness of the Laplacian matrix. Through well-designed numerical experiments, the paper also reveals a series of properties derived from INRR, including momentum methods like convergence trajectory and multi-scale similarity. Moreover, the proposed method could improve the performance of other signal representation methods.Comment: Highlight paper in CVPR 202

    Pension policy implementation in Tianjin: Who pays pension in loss-making public firms?

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    Master'sMASTER OF SOCIAL SCIENCE

    The Synthetic Efficiency Measures of the Chinese Commercial Bank System with Bad Loans and Reserve Using Two-Stage DEA Model

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    Recently, the liquidity risk that exit in the b anks has constantly exposed. There was a panic when people heard the massage of money shortage and default. The bank management need to strengthen the safely and liquidity of bank as the same time to pursuit of profit maximization. According to above discover, in this article, efforts are made to analyze the synthetic efficiency of commercial banks combining the safety, liquidity, profitability of commercial banks. In this study, we utilize extend the two-stage centralized and non-cooperative DEA approach to disaggregate, evaluate and test the 16 major Chinese commercial banks in 2012 with the consideration of undesirable/bad output and reserve. The main findings of this study are as follows: i) The non-cooperative model may overestimate the efficiency of ignore the relationship between the traditional stage and financial innovation stage or disagree with the real bank operation. ii) Bad loans has significant negative effect on efficiency indicating that the large and more bad loans lead bank to lower efficiency. iii) The state-owned bank achieved relative lower efficient, it implies that the state-owned commercial banks are necessary to gradually complete their joint-equity reform. Key words: Two-stage DEA model; Game theory; Tobit model; Reserve; Bad loans; Synthetic efficienc
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