农药残留检测前处理技术研究进展

近年来,随着农业生产的产业化,农药被大量使用于农业生产中,农药残留的问题越来越受到人们的关注。提高农药残留分析检测技术是解决农药残留问题的重要途径,而样品的前处理技术是农药残留检测的关键。文章综述了近年来农药残留分析中样品前处理技术的研究进展。     

Comparative Analysis of Text Data in Successful Face-to-Face and Electronic Negotiations

Various combination of Natural Language Processing and Machine Learning methods offer ample opportunities wherever texts are an important element of an application or a research area. Such methods discover patterns and regularities in the data, seek generalization and in effect learn new knowledge. We have employed such methods in learning from a large amount of textual data. Our application is electronic negotiations. The genre of texts found in electronic negotiations may seem limited. It is an important research question whether our methods and findings apply equally well to texts that come from face-to-face negotiations. In order to confirm such more general applicability, we have analyzed comparable collections of texts from electronic and face-to-face negotiations. We present our findings on the extent of similarity between these two related but distinct genres. In this study we have analyzed similarities in the text data of electronic and face-to-face negotiations. The results show that – in certain conditions – vocabulary richness, language complexity and text predictability are similar.This is an expanded version of a paper published in the Proceedings of FINEXIN 2005 (Workshop on the Analysis of Formal and Informal Information Exchange during Negotiations), 31–42, Ottawa, Canada, May 2005.     

Productivity change of microfinance institutions in Kenya: A bootstrap Malmquist approach

This paper uses a DEA (Data Envelopment Analysis) based Malmquist approach to investigate the changes in productivity of 20 Kenyan microfinance institutions (MFIs) over the period 2009–2012. A bootstrap procedure is employed to determine whether the changes in Malmquist index and its components are statistically significant. Results show that MFIs have experienced about 7% annual productivity progress on average, which is mainly attributable to technological advances. A second-stage bootstrapped regression analysis is employed to examine the impact of several environmental variables on productivity change measures. Results show that matured MFIs tend to have a lower productivity compared to their younger counterparts. Results also reveal that higher return-on-assets associates with the productivity gain and technological improvements.     

Can AI benefit individual resilience? The mediation roles of AI routinization and infusion

The recent COVID-19 pandemic has raised concerns about individual resilience in the face of adversity. The abundant research suggested that artificial intelligence (AI) can help organizations handle changes during this challenging period. However, little empirical research has explored whether the presence of AI enhances individual resilience against adversities. Drawing on the reciprocal determinism theory, this study considers the formation of two typical post-adoption behaviors and their subsequent results in individual resilience. The structural equation modeling shows that AI factors (usability and sociability) and personal factors (self-efficacy) determine usage behaviors (routine and infusion use), in turn affecting individual resilience. The OLS results suggest the right half of the U-shaped relationships between infusion use and resilience. Two-step fsQCA offers three configurations resulting in high resilience under the different presence of AI factors and also suggests the roles of user behaviors. The study provides new theoretical enlightenment for the impact of digital service technology on individuals and enriches the existing literature on the usage of digital service technology. The findings provide practical implications for practitioners to design AI products better to improve smart service experience.     

Competing with multinational enterprises’ entry: Search strategy,environmental complexity,and survival of local firms

This study examines the competitive dynamics between foreign and local firms. We posit that multinational enterprises (MNEs)’s entry in foreign markets significantly reduces the survival rate of local firms in the short term, but that this effect gradually diminishes over time. The proposed conceptual framework is operationalized through the combination of the widely used agent-based model and the economic model of competition. The agent-based model allows us to study the behavior of firms under the context of different markets and the environmental complexity while the competition model determines the competition between firms as well as the entry and exit of firms. Our results obtained from the simulation study reveal that the negative effect of foreign entry is heightened as environmental complexity increases. However, local firms with a broader knowledge search are better able to confront the negative impact of foreign entry over time. We also find that the negative effect of foreign entry on the survival of local firms is weaker for local firms with a strong retrieval capacity.