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On the basis of literature home and abroad and the switching theory, the thesis constructs a measuring model of the antecedent variables of dual commitment in the context of China. It adopts 433 employees in Jiangsu province as empirical samples, and applies AMOS4.0 and SPSS17.0 to do a confirmatory factor analysis on the survey data. The research indicates that there exists dual commitment in the context of China; promotion opportunity, union participation, union satisfaction and industrial relations have significant relationship with dual commitment; job satisfaction and turnover intention have no relationship with dual commitment; in terms of company commitment, males surpass females, while in the union commitment, females exceed; employees in different ages differ greatly in the company commitment, but little in the union commitment. The results indicate that in China, when undergoing social economy transition, companies and unions can achieve prospects of win-win by cooperation. The thesis not only has instructive effects on the company-union relations practice in China, but has great significance on the harmonious industrial relationships constructing. [ABSTRACT FROM AUTHOR]

Abstract: Heavy-ion beams at 106 particles per second have been applied to the treatment of deep-seated inoperable tumors in the therapy terminal of the Heavy Ion Research Facility in Lanzhou (HIRFL) which is located at the Institute of Modern Physics, Chinese Academy of Sciences (IMP, CAS). An accurate low current measurement circuit following a Faraday cup was developed to monitor the beam current at pA range. The circuit consisted of a picoammeter with a bandwidth of 1kHz and a gated integrator (GI). A low input bias current precision amplifier and new guarding and shielding techniques were used in the picoammeter circuit which allowed as to measure current less than 1pA with a current gain of 0.22V/pA and noise less than 10fA. This paper will also describe a novel compensation approach which reduced the charge injection from switches in the GI to 10−18 C, and a T-switch configuration which was used to eliminate leakage current in the reset switch. [Copyright &y& Elsevier]

[Display omitted] • An integrated ICSA-MSAR model was developed and applied. • The model effectively predicted the water quality dynamics in Yongding River. • The model reduced the prediction relative error by 73.3% compared with an AR model. It is important to predict evolution processes of water quality in order to effectively protect the aquatic eco-system. We proposed an integrated autoregressive (AR) prediction model based on Markov-switching (MS) theory and the improved crow search algorithm (ICSA), and the integrated model of ICSA-MSAR was used to predict temporal evolution of water quality changes. The results showed that the MS and ICSA provided an optimized method to determine the model parameters, and the integrated model with (s , p) values of (3, 5) had a better performance. Compared with the traditional AR model, the integrated ICSA-MSAR model significantly raised Akaike information criterion by 32.0%, Bayesian information criterion by 14.2%, Log-likelihood value by 40.5%, C index (C = AIC × BIC × LL ) by 65.6%, and reduced the prediction relative error by 73.3%. The better performance mainly attributed to its offset capacity and convergence capacity. The integrated model can well predict the changes of COD Mn in Yongding River located of North China during 2008–2018, and it is worth extending this model to predict the changes of other ecological indicators in water bodies. [ABSTRACT FROM AUTHOR]