Search results

In acoustic detection technology, optical microcavities offer higher detection bandwidth and sensitivity than traditional acoustic sensors. However, research on acoustic detection technologies involving optical microcavities has not yet been reported. Therefore, this paper aims to design and construct an underwater acoustic detection system based on optical microcavities and study its acoustic detection technology to improve its performance.

Based on the principles of optical microcavity acoustic sensors, a signal-detection circuit was designed to form a detection system in conjunction with a laser, an optical waveguide resonator and an oscilloscope. This circuit consists of two modules: a photodetection module and a filter amplification module.

The photodetection module features a baseline noise of −106.499 dBm and can detect device spectral line depths of up to 2410 mV. The gain stability of the filter amplification module was 58 dB ± 1 dB with a noise gain of −107.626 dBm. This design allows the acoustic detection system to detect signals with high sensitivity within the 10 Hz−1.2 MHz frequency band, achieving a maximum sensitivity of −126 dB re 1 V/µPa at 800 Hz and a minimum detectable pressure (MDP) of 0.37 mPa/Hz^1/2, corresponding to a noise equivalent pressure (NEP) of 51.36 dB re 1 V/µPa.

This study designs and constructs a broadband underwater acoustic detection system specifically for optical waveguide resonators based on the sensing principles of silicon dioxide optical waveguide resonators. Experiments demonstrated that the signal detection module improves the sensitivity of underwater acoustic detection based on optical waveguides.

The Association for Chief Executives of Voluntary Organisations' (acevo) International Programme brings together third sector leaders from around the world to share ideas and experiences. This article looks at examples of leadership in France, China and Nigeria, and explores themes that can be applied to a UK context.

The purpose of this study was to investigate the effect of perceived corporate hypocrisy on customer mistreatment behaviors within the banking industry and the moderating effects of customer–company identification (CCI) and brand equity on the hypocrisy-mistreatment behavior relationship.

Using multistage sampling, 567 South Korean banking service users participated in an online survey. Structural equation modeling (confirmatory factor analysis) and hierarchical regression analysis were used to analyze the data.

Perceived corporate hypocrisy was positively related to customer mistreatment behaviors. CCI and brand equity differentially moderated the positive relationship between perceived corporate hypocrisy and customer mistreatment behaviors. Specifically, CCI and brand equity strengthened and weakened the positive relationship between perceived corporate hypocrisy and customer mistreatment behaviors, respectively.

Marketers and banking service managers should pay careful attention to customer evaluations of their social activities and communication about the ethical values and actions of their firms. Since CCI and brand equity have contrasting moderating effects on the corporate hypocrisy-aggressive behavior relationship, marketers should devise different strategies to manage the adverse effects of such corporate crises on company-identified and brand-committed customers. For example, managers should focus on customers who actively express their deep sense of disappointment or profound anger in response to corporate hypocrisy (e.g. those with high levels of CCI) because they are likely to exhibit aggressive behaviors toward the company or its employees. Managers need to devise customized relationship-recovery strategies for such customers (e.g. forging a personal connection between the customer and service provider).

The present findings delineate the adverse effects of perceived corporate hypocrisy on customer behaviors and the moderating effect of customer relationship quality on the corporate hypocrisy-mistreatment behavior relationship within the banking industry.

As the virtual reference service (VRS) is becoming a standard service of the digital library, efficient collaboration among virtual reference services is also becoming more and more important for information exchange and sharing. This paper seeks to examine existing collaborative VRS systems with a view to achieving collaboration.

This paper studies existing collaborative VRS (CVRS) systems and analyzes their structures, methods and functions for achieving collaboration.

Three collaborative structure models are proposed and basic collaborative methods and collaborative functions are concluded. A CVRS reference model is depicted.

Since the study is not based on an exhaustive list of CVRS systems and technologies are always developing, the collaborative structure models, methods and functions presented in this paper are possibly not complete and may need to be adjusted and amended. There is also urgent work to be done to advance and establish related standards and protocols for CVRS.

The study is intended to help libraries to identify quickly the necessary elements and mechanisms for the design of a proper degree of CVRS or to develop or evaluate VRS systems.

This paper proposes and concludes collaborative structure models, methods, functions and a reference model of CVRS. It should prove helpful for libraries wishing to provide CVRS, as well as for further research on CVRS.

This study aims to investigate the influences of Al₂O₃ mass fraction on the corrosive wear and electrochemical behaviors of FeAl–xAl₂O₃ coatings.

FeAl–xAl₂O₃ coatings were prepared on S355 steel by laser cladding to improve its corrosive wear and electrochemical properties.

The average coefficients of friction and wear rates of FeAl–xAl₂O₃ coatings are decreased with the Al₂O₃ mass fraction, and the Al₂O₃ plays a positive role in the corrosion wear resistance. Moreover, the charge transfer resistance of FeAl–xAl₂O₃ coatings is increased with the Al₂O₃ mass fraction, showing the FeAl–15%Al₂O₃ coating has the best corrosion resistance. The findings show the corrosion resistance of FeAl–15%Al₂O₃ coating is the highest among the three kinds of coatings.

Al₂O₃ was first added into FeAl coatings to further improve its corrosive wear and electrochemical properties by laser cladding.

The purpose of this paper is to propose a debt rating index system for small industrial enterprises that significantly distinguishes the default state. This debt rating system is constructed using the F-test and correlation analysis method, with the small industrial enterprise loans of a Chinese commercial bank as the data sample. This study establishes the weighting principle for the debt scoring model: “the more significant the default state, the larger is the weight.” The debt rating system for small industrial enterprises is constructed based on the standard “the higher the debt rating, the lower is the loss given default.”

In this study, the authors selected indexes that pass the homogeneity of variance test based on the principle that a greater deviation of the default sample’s mean from the whole sample’s mean leads to greater significance in distinguishing the default samples from the non-default samples. The authors removed correlated indexes based on the results of the correlation analysis and constructed a debt rating index system for small industrial enterprises that included 23 indexes.

Among the 23 indexes, the weights of 12 quantitative indexes add up to 0.547, while the weights of the remaining 11 qualitative indexes add up to 0.453. That is, in the debt rating of the small industry enterprises, the financial indexes are not capable of reflecting all the debt situations, and the qualitative indexes play a more important role in debt rating. The weights of indexes “X17 Outstanding loans to all assets ratio” and “X59 Date of the enterprise establishment” are 0.146 and 0.133, respectively; both these are greater than 0.1, and the indexes are ranked first and second, respectively. The weights of indexes “X6 EBIT-to- current liabilities ratio,” “X13 Ratio of capital to fixed” and “X78 Legal dispute number” are between 0.07 and 0.09, these indexes are ranked third to fifth. The weights of indexes “X3 Quick ratio” and “X50 Per capital year-end savings balance of Urban and rural residents” are both 0.013, and these are the lowest ranked indexes.

The data of index i are divided into two categories: default and non-default. A greater deviation in the mean of the default sample from that of the whole sample leads to greater deviation from the non-default sample’s mean as well; thus, the index can easily distinguish the default and the non-default samples. Following this line of thought, the authors select indexes that pass the F-test for the debt rating system that identifies whether or not the sample is default. This avoids the disadvantages of the existing research in which the standard for selecting the index has nothing to do with the default state; further, this presents a new way of debt rating. When the correlation coefficient of two indexes is greater than 0.8, the index with the smaller F-value is removed because of its weaker prediction capacity. This avoids the mistake of eliminating an index that has strong ability to distinguish default and non-default samples. The greater the deviation of the default sample’s mean from the whole sample’s mean, the greater is the capability of the index to distinguish the default state. According to this rule, the authors assign a larger weight to the index that exhibits the ability to identify the default state. This is different from the existing index system, which does not take into account the ability to identify the default state.