信息分享对原始设备制造商与其合同制造商竞争的影响

研究了原始设备制造商的预测信息分享对一个原始设备制造商和一个与其同时有合作和竞争的合同制造商组成的供应链系统的影响,建立制造商间信息分享的模型,该模型包括一个原始设备制造商和一个合同制造商。研究发现,原始设备制造商关于市场潜在需求预测信息的分享对其预期利润是不利的,同时需求信息预测的精度对原始设备制造商信息分享的决策也有影响,原始设备制造商没有动机与其供应链成员进行信息分享,但信息分享使得供应链整体利润增加。最后,建立一个信息分享补偿机制分享供应链利润的增加量,以期通过信息分享补偿机制促使原始设备制造商有动机进行信息分享,从而实现其与合同制造商的“双赢”。     

基于遥测信号的测距技术及其发展趋势

基于遥测信号的测距技术可以有效解决深空测距下行链路同时传输遥测、测距信号时出现的遥测数据传输速率受限、频谱带宽增加等问题，应用前景广阔。介绍了基于遥测信号的测距技术发展历程，重点总结了其中的关键技术，包括上行测距码的选择、遥测帧的设计和传输、PN码相位估计算法，最后探讨了其发展趋势。基于遥测信号的测距技术适应未来深空测距的发展需求，是深空测距的重要发展方向之一。     

The problem of employees' network centrality and supervisors' error in performance appraisal: A multilevel theory

This article reveals an unexplored paradox for HR managers: the centrality of an employee in the social network benefits performance but hampers performance appraisal because it affects supervisors' rating errors. Central employees can be erroneously rated high on performance even when they are not high performers because supervisors tend to overappraise their performance. A distinction is made between rating precision, which depends on supervisors' uncertainty regarding employees' performance, and rating accuracy, which depends on supervisors' bias in favor of employees. Employee centrality is posited to be beneficial to precision but deleterious to accuracy because it regulates the diffusion of positive information, status, and power, all of which distort supervisors' capacity and motivation to accurately appraise performance. It is then argued that rating errors caused by network centrality affect aggregate perceptions of justice in organizations. When employees are highly connected to each other in a dense network, organizations have a strong and positive justice climate. Yet when some employees are more central than others in a centralized network, organizations have a negative and weak justice climate. The article contributes to the literature because it identifies an unexplored dark side of network centrality and offers recommendations for HR managers to cope with its deleterious consequences and for scholars to study them.     

一种适用于遥测测距信号的新型码跟踪环

遥测测距技术采用再生伪码作为上行链路信号。针对飞行器现有码跟踪环结构复杂、低信噪比条件下环路跟踪性能差的问题，提出了一种新的基于锁相环的码跟踪环结构，推导了环路的信号处理流程。该结构降低了环路实现的复杂度，改善了低信噪比条件下的相位测量精度，仿真进一步验证了方法的有效性和稳定性，较现有方法在信噪比为-10 dB时能提高1.5×10－3个码片的精度，适合遥测测距技术。     

好的表演需要好的观众——顾客察觉准确性在员工情绪劳动影响中的作用

基于385对顾客和员工的问卷调查的配对数据，考察了员工的情绪劳动如何影响顾客的信任和忠诚，以及顾客察觉准确性在其中的调节作用。研究结果表明员工的深层表演会促进顾客的信任，进而促进顾客忠诚；顾客对深层扮演的高察觉准确性会加强员工的深层扮演与顾客信任之间的正向关系，而当顾客对表面扮演察觉准确性低时，员工的表面扮演会对顾客信任有正向的影响；顾客的深层/表面扮演察觉准确性加强了深层/表面扮演、顾客信任和忠诚之间的中介效应。研究帮助从情绪的视角更好地理解服务情境中信任的前因变量，发现顾客的察觉准确性在情绪劳动影响过程中的重要作用，有助于服务企业从情绪劳动的角度来建立顾客信任和忠诚。     

Analyst Firm Coverage and Forecast Accuracy: The Effect of Regulation Fair Disclosure

In this study, we revisit the relationship between analyst firm coverage and forecast accuracy. In contrast to the proposed negative association in Clement (1999) owing to the portfolio complexity effect, we hypothesize an ‘economy‐of‐scale effect’ that is likely to dominate when analysts rely mostly on public information. In support of the latter effect, we find a positive association between firm coverage and forecast accuracy after the enactment of Regulation Fair Disclosure (Reg FD), which substantially reduces the flow of material private information to analysts. Such a result survives a battery of robustness analyses. We further show that, in the post‐Reg FD period, covering more firms increases an analyst's probability of being selected as a star analyst in the subsequent year. Overall, our findings highlight the importance of the information environment in shaping the economic link between an analyst's firm coverage and forecast accuracy.     

经贸文体翻译之生命——准确性

实现经贸文体翻译的准确性,必须准确把握词汇含义,理解文化内涵,表现文体风格。     

学术期刊引文不规范问题及对策分析

当今，学术界的引文不规范行为十分严重。针对于此，本文主要概括了引文不规范行为的分类、原因和解决对策，强调引文在科技论文中的重要作用，并从作者自身、期刊社和相关法律制度三个方面解决该问题。     

Cointegration as an explanation for the Meese–Rogoff puzzle

Some economists suggest that the failure of exchange-rate models to outperform the random walk in exchange rate forecasting out of sample can be attributed to failure to take into account cointegration when it is present. We attempt to find out if cointegration matters for forecasting accuracy by examining the relation between the stationarity and size of the forecasting error. Results based on three macroeconomic models of exchange rates do not provide strong support for the proposition that cointegration matters for forecasting accuracy. The simulation results show that while stationary errors tend to be smaller than non-stationary errors, this is not a universal rule. Irrespective of the presence or absence of cointegration, none of the three models can outperform the random walk in out-of-sample forecasting, which means that cointegration cannot solve the Meese–Rogoff puzzle.     

变电设备红外线热成像诊断技术的准确性分析

红外诊断技术是一种新型诊断技术,为变电设备的热诊断提供了很好的诊断方式,该种诊断方式有着不解体、直观性、快速性、准确性的特征,也适宜用在大面积检测中,同时,该种诊断技术也能够与其他检测方式联合使用,定位故障的具体位置,这就可以有效提升检修的便利性。但是,影响红外线热成像诊断技术准确率的因素是多种多样的,在进行诊断时,必须要合理地控制其测量环境与测量方式。本文主要分析影响红外线热成像诊断技术准确性的因素,并提出相关的解决措施。